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ORCIDBin Cui 0001
Person information
- affiliation: Peking University, School of Electronics Engineering and Computer Science, Beijing, China
- affiliation (former): National University of Singapore, School of Computing, Singapore
- affiliation: Peking University, Beijing, China
Other persons with the same name
- Bin Cui 0002 — Donghua University, College of Mechanical Engineering, Shanghai, China
- Bin Cui 0003
![[0000-0001-5258-8000]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-5258-8000")
— Tsinghua University, Department of Electrical Engineering, Beijing, China - Bin Cui 0004 — Nanjing University, School of Geography and Ocean Science, China (and 3 more)
- Bin Cui 0005 — Shandong Normal University, School of Physics and Electronics, Jinan, China
- Bin Cui 0006 — Shanghai University, School of Communication and Information Engineering, China
- Bin Cui 0007 — Zhejiang University, Hangzhou, China
- Bin Cui 0008 — Shanghai Jiao Tong University, Department of Instrument Science and Engineering, China
- Bin Cui 0009 — Shandong University, School of Physics, State Key Laboratory for Crystal Materials, Jinan, China
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Books and Theses
- 2022
[b3]Jiawei Jiang, Bin Cui, Ce Zhang:
Distributed Machine Learning and Gradient Optimization. Springer 2022, ISBN 978-981-16-3419-2, pp. 1-169- 2020
- [b2]Yingxia Shao, Bin Cui, Lei Chen:
Large-scale Graph Analysis: System, Algorithm and Optimization. Springer 2020, ISBN 978-981-15-3927-5, pp. 1-146 - 2016
- [b1]Hongzhi Yin, Bin Cui:
Spatio-Temporal Recommendation in Social Media. Springer Briefs in Computer Science, Springer 2016, ISBN 978-981-10-0747-7, pp. 1-114
Journal Articles
- 2024
- [j126]Ling Yang, Zhilong Zhang, Yang Song, Shenda Hong, Runsheng Xu, Yue Zhao, Wentao Zhang, Bin Cui, Ming-Hsuan Yang:
Diffusion Models: A Comprehensive Survey of Methods and Applications. ACM Comput. Surv. 56(4): 105:1-105:39 (2024) - [j125]Yingxia Shao, Hongzheng Li, Xizhi Gu, Hongbo Yin, Yawen Li, Xupeng Miao, Wentao Zhang, Bin Cui, Lei Chen:
Distributed Graph Neural Network Training: A Survey. ACM Comput. Surv. 56(8): 191:1-191:39 (2024) - [j124]Bin Cui:
Welcome to a New Era of the Data Science and Engineering Journal (DSE). Data Sci. Eng. 9(1): 1-2 (2024) - [j123]Huaijun Jiang, Yu Shen, Yang Li, Beicheng Xu, Sixian Du, Wentao Zhang, Ce Zhang, Bin Cui:
OpenBox: A Python Toolkit for Generalized Black-box Optimization. J. Mach. Learn. Res. 25: 120:1-120:11 (2024) - [j122]Hailin Zhang, Zirui Liu, Boxuan Chen, Yikai Zhao, Tong Zhao, Tong Yang, Bin Cui:
CAFE: Towards Compact, Adaptive, and Fast Embedding for Large-scale Recommendation Models. Proc. ACM Manag. Data 2(1): 51:1-51:28 (2024) - [j121]Zeang Sheng, Wentao Zhang, Yangyu Tao, Bin Cui:
OUTRE: An OUT-of-core De-REdundancy GNN Training Framework for Massive Graphs within A Single Machine. Proc. VLDB Endow. 17(11): 2960-2973 (2024) - [j120]Ling Yang, Jiayi Zheng, Heyuan Wang, Zhongyi Liu, Zhilin Huang, Shenda Hong, Wentao Zhang, Bin Cui:
Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization. IEEE Trans. Knowl. Data Eng. 36(2): 682-693 (2024) - [j119]Fangcheng Fu, Xuanyu Wang, Jiawei Jiang, Huanran Xue, Bin Cui:
ProjPert: Projection-Based Perturbation for Label Protection in Split Learning Based Vertical Federated Learning. IEEE Trans. Knowl. Data Eng. 36(7): 3417-3428 (2024) - [j118]Zirui Liu, Xiangyuan Wang, Yuhan Wu, Tong Yang, Kaicheng Yang, Hailin Zhang, Yaofeng Tu, Bin Cui:
A Unified Framework for Mining Batch and Periodic Batch in Data Streams. IEEE Trans. Knowl. Data Eng. 36(11): 5544-5561 (2024) - [j117]Ling Yang, Zhilin Huang, Zhilong Zhang, Zhongyi Liu, Shenda Hong, Wentao Zhang, Wenming Yang, Bin Cui, Luxia Zhang:
Graphusion: Latent Diffusion for Graph Generation. IEEE Trans. Knowl. Data Eng. 36(11): 6358-6369 (2024) - [j116]Zirui Liu, Yikai Zhao, Zhuochen Fan, Tong Yang, Xiaodong Li, Ruwen Zhang, Kaicheng Yang, Zihan Jiang, Zheng Zhong, Yi Huang, Cong Liu, Jing Hu, Gaogang Xie, Bin Cui:
BurstBalancer: Do Less, Better Balance for Large-Scale Data Center Traffic. IEEE Trans. Parallel Distributed Syst. 35(6): 777-794 (2024) - [j115]Zirui Liu, Fenghao Dong, Chengwu Liu, Xiangwei Deng, Tong Yang, Yikai Zhao, Jizhou Li, Bin Cui, Gong Zhang:
WavingSketch: an unbiased and generic sketch for finding top-k items in data streams. VLDB J. 33(5): 1697-1722 (2024) - [j114]Zhuochen Fan, Bowen Ye, Ziwei Wang, Zheng Zhong, Jiarui Guo, Yuhan Wu, Haoyu Li, Tong Yang, Yaofeng Tu, Zirui Liu, Bin Cui:
Enabling space-time efficient range queries with REncoder. VLDB J. 33(6): 1837-1859 (2024) - 2023
- [j113]Xupeng Miao, Xiaonan Nie, Hailin Zhang, Tong Zhao, Bin Cui:
Hetu: a highly efficient automatic parallel distributed deep learning system. Sci. China Inf. Sci. 66(1) (2023) - [j112]Shiyue Huang, Yanzhao Qin, Xinyi Zhang, Yaofeng Tu, Zhongliang Li, Bin Cui:
Survey on performance optimization for database systems. Sci. China Inf. Sci. 66(2) (2023) - [j111]Shiwen Wu, Fei Sun, Wentao Zhang, Xu Xie, Bin Cui:
Graph Neural Networks in Recommender Systems: A Survey. ACM Comput. Surv. 55(5): 97:1-97:37 (2023) - [j110]Yuanpeng Li, Feiyu Wang, Xiang Yu, Yilong Yang, Kaicheng Yang, Tong Yang, Zhuo Ma, Bin Cui, Steve Uhlig:
LadderFilter: Filtering Infrequent Items with Small Memory and Time Overhead. Proc. ACM Manag. Data 1(1): 10:1-10:21 (2023) - [j109]Zirui Liu, Yixin Zhang, Yifan Zhu, Ruwen Zhang, Tong Yang, Kun Xie, Sha Wang, Tao Li, Bin Cui:
TreeSensing: Linearly Compressing Sketches with Flexibility. Proc. ACM Manag. Data 1(1): 56:1-56:28 (2023) - [j108]Shiyue Huang, Ziwei Wang, Xinyi Zhang, Yaofeng Tu, Zhongliang Li, Bin Cui:
DBPA: A Benchmark for Transactional Database Performance Anomalies. Proc. ACM Manag. Data 1(1): 72:1-72:26 (2023) - [j107]Yikai Zhao, Wenchen Han, Zheng Zhong, Yinda Zhang, Tong Yang, Bin Cui:
Double-Anonymous Sketch: Achieving Top-K-fairness for Finding Global Top-K Frequent Items. Proc. ACM Manag. Data 1(1): 79:1-79:26 (2023) - [j106]Feiyu Wang, Qizhi Chen, Yuanpeng Li, Tong Yang, Yaofeng Tu, Lian Yu, Bin Cui:
JoinSketch: A Sketch Algorithm for Accurate and Unbiased Inner-Product Estimation. Proc. ACM Manag. Data 1(1): 81:1-81:26 (2023) - [j105]Xiaonan Nie, Xupeng Miao, Zilong Wang, Zichao Yang, Jilong Xue, Lingxiao Ma, Gang Cao, Bin Cui:
FlexMoE: Scaling Large-scale Sparse Pre-trained Model Training via Dynamic Device Placement. Proc. ACM Manag. Data 1(1): 110:1-110:19 (2023) - [j104]Yexin Wang, Zhi Yang, Junqi Liu, Wentao Zhang, Bin Cui:
Scapin: Scalable Graph Structure Perturbation by Augmented Influence Maximization. Proc. ACM Manag. Data 1(2): 146:1-146:21 (2023) - [j103]Xinyi Zhang, Zhuo Chang, Hong Wu, Yang Li, Jia Chen, Jian Tan, Feifei Li, Bin Cui:
A Unified and Efficient Coordinating Framework for Autonomous DBMS Tuning. Proc. ACM Manag. Data 1(2): 186:1-186:26 (2023) - [j102]Jiangneng Li, Zheng Wang, Gao Cong, Cheng Long, Han Mao Kiah, Bin Cui:
Towards Designing and Learning Piecewise Space-Filling Curves. Proc. VLDB Endow. 16(9): 2158-2171 (2023) - [j101]Xupeng Miao, Yining Shi, Zhi Yang, Bin Cui, Zhihao Jia:
SDPipe: A Semi-Decentralized Framework for Heterogeneity-aware Pipeline-parallel Training. Proc. VLDB Endow. 16(9): 2354-2363 (2023) - [j100]Yang Li, Huaijun Jiang, Yu Shen, Yide Fang, Xiaofeng Yang, Danqing Huang, Xinyi Zhang, Wentao Zhang, Ce Zhang, Peng Chen, Bin Cui:
Towards General and Efficient Online Tuning for Spark. Proc. VLDB Endow. 16(12): 3570-3583 (2023) - [j99]Xiaonan Nie, Yi Liu, Fangcheng Fu, Jinbao Xue, Dian Jiao, Xupeng Miao, Yangyu Tao, Bin Cui:
Angel-PTM: A Scalable and Economical Large-scale Pre-training System in Tencent. Proc. VLDB Endow. 16(12): 3781-3794 (2023) - [j98]Jinqing Lian, Xinyi Zhang, Yingxia Shao, Zenglin Pu, Qingfeng Xiang, Yawen Li, Bin Cui:
ContTune: Continuous Tuning by Conservative Bayesian Optimization for Distributed Stream Data Processing Systems. Proc. VLDB Endow. 16(13): 4282-4295 (2023) - [j97]Xinyi Zhang, Hong Wu, Yang Li, Zhengju Tang, Jian Tan, Feifei Li, Bin Cui:
An Efficient Transfer Learning Based Configuration Adviser for Database Tuning. Proc. VLDB Endow. 17(3): 539-552 (2023) - [j96]Hailin Zhang, Penghao Zhao, Xupeng Miao, Yingxia Shao, Zirui Liu, Tong Yang, Bin Cui:
Experimental Analysis of Large-scale Learnable Vector Storage Compression. Proc. VLDB Endow. 17(4): 808-822 (2023) - [j95]Xupeng Miao, Wentao Zhang, Yingxia Shao, Bin Cui, Lei Chen, Ce Zhang, Jiawei Jiang:
Lasagne: A Multi-Layer Graph Convolutional Network Framework via Node-Aware Deep Architecture. IEEE Trans. Knowl. Data Eng. 35(2): 1721-1733 (2023) - [j94]Shuang Liang, Jie Shao, Dongyang Zhang, Jiasheng Zhang, Bin Cui:
DRGI: Deep Relational Graph Infomax for Knowledge Graph Completion. IEEE Trans. Knowl. Data Eng. 35(3): 2486-2499 (2023) - [j93]Xiangyang Gou, Yinda Zhang, Zhoujing Hu, Long He, Ke Wang, Xilai Liu, Tong Yang, Yi Wang, Bin Cui:
A Sketch Framework for Approximate Data Stream Processing in Sliding Windows. IEEE Trans. Knowl. Data Eng. 35(5): 4411-4424 (2023) - [j92]Zhuochen Fan, Gang Wen, Zhipeng Huang, Yang Zhou, Qiaobin Fu, Tong Yang, Alex X. Liu, Bin Cui:
On the Evolutionary of Bloom Filter False Positives - An Information Theoretical Approach to Optimizing Bloom Filter Parameters. IEEE Trans. Knowl. Data Eng. 35(7): 7316-7327 (2023) - [j91]Zhuochen Fan, Yubo Zhang, Siyuan Dong, Yi Zhou, Fangyi Liu, Tong Yang, Steve Uhlig, Bin Cui:
HoppingSketch: More Accurate Temporal Membership Query and Frequency Query. IEEE Trans. Knowl. Data Eng. 35(9): 9067-9072 (2023) - [j90]Shuang Liang, Jie Shao, Jiasheng Zhang, Bin Cui:
Graph-Based Non-Sampling for Knowledge Graph Enhanced Recommendation. IEEE Trans. Knowl. Data Eng. 35(9): 9462-9475 (2023) - [j89]Ruijie Miao, Zheng Zhong, Jiarui Guo, Zikun Li, Tong Yang, Bin Cui:
BurstSketch: Finding Bursts in Data Streams. IEEE Trans. Knowl. Data Eng. 35(11): 11126-11140 (2023) - [j88]Zhuochen Fan, Ruixin Wang, Yalun Cai, Ruwen Zhang, Tong Yang, Yuhan Wu, Bin Cui, Steve Uhlig:
OneSketch: A Generic and Accurate Sketch for Data Streams. IEEE Trans. Knowl. Data Eng. 35(12): 12887-12901 (2023) - [j87]Ruiqi Zheng, Liang Qu, Bin Cui, Yuhui Shi, Hongzhi Yin:
AutoML for Deep Recommender Systems: A Survey. ACM Trans. Inf. Syst. 41(4): 101:1-101:38 (2023) - [j86]Yang Li, Yu Shen, Wentao Zhang, Ce Zhang, Bin Cui:
VolcanoML: speeding up end-to-end AutoML via scalable search space decomposition. VLDB J. 32(2): 389-413 (2023) - [j85]Jiazun Chen, Jun Gao, Bin Cui:
ICS-GNN+: lightweight interactive community search via graph neural network. VLDB J. 32(2): 447-467 (2023) - [j84]Xupeng Miao, Wentao Zhang, Yuezihan Jiang, Fangcheng Fu, Yingxia Shao, Lei Chen, Yangyu Tao, Gang Cao, Bin Cui:
P2CG: a privacy preserving collaborative graph neural network training framework. VLDB J. 32(4): 717-736 (2023) - 2022
- [j83]Yang Bai, Yang Li, Yu Shen, Mingyu Yang, Wentao Zhang, Bin Cui:
AutoDC: an automatic machine learning framework for disease classification. Bioinform. 38(13): 3415-3421 (2022) - [j82]Shitao Xiao, Yingxia Shao, Yawen Li, Hongzhi Yin, Yanyan Shen, Bin Cui:
LECF: recommendation via learnable edge collaborative filtering. Sci. China Inf. Sci. 65(1) (2022) - [j81]Yang Li, Yu Shen, Huaijun Jiang, Wentao Zhang, Jixiang Li, Ji Liu, Ce Zhang, Bin Cui:
Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale. Proc. VLDB Endow. 15(6): 1256-1265 (2022) - [j80]Haoyu Li, Qizhi Chen, Yixin Zhang, Tong Yang, Bin Cui:
Stingy Sketch: A Sketch Framework for Accurate and Fast Frequency Estimation. Proc. VLDB Endow. 15(7): 1426-1438 (2022) - [j79]Hongzheng Li, Yingxia Shao, Junping Du, Bin Cui, Lei Chen:
An I/O-Efficient Disk-based Graph System for Scalable Second-Order Random Walk of Large Graphs. Proc. VLDB Endow. 15(8): 1619-1631 (2022) - [j78]Xinyi Zhang, Zhuo Chang, Yang Li, Hong Wu, Jian Tan, Feifei Li, Bin Cui:
Facilitating Database Tuning with Hyper-Parameter Optimization: A Comprehensive Experimental Evaluation. Proc. VLDB Endow. 15(9): 1808-1821 (2022) - [j77]Fangcheng Fu, Xupeng Miao, Jiawei Jiang, Huanran Xue, Bin Cui:
Towards Communication-efficient Vertical Federated Learning Training via Cache-enabled Local Update. Proc. VLDB Endow. 15(10): 2111-2120 (2022) - [j76]Xupeng Miao, Yujie Wang, Youhe Jiang, Chunan Shi, Xiaonan Nie, Hailin Zhang, Bin Cui:
Galvatron: Efficient Transformer Training over Multiple GPUs Using Automatic Parallelism. Proc. VLDB Endow. 16(3): 470-479 (2022) - [j75]Yuhan Wu, Jintao He, Shen Yan, Jianyu Wu, Tong Yang, Olivier Ruas, Gong Zhang, Bin Cui:
Elastic Bloom Filter: Deletable and Expandable Filter Using Elastic Fingerprints. IEEE Trans. Computers 71(4): 984-991 (2022) - [j74]Xupeng Miao, Lingxiao Ma, Zhi Yang, Yingxia Shao, Bin Cui, Lele Yu, Jiawei Jiang:
CuWide: Towards Efficient Flow-Based Training for Sparse Wide Models on GPUs. IEEE Trans. Knowl. Data Eng. 34(9): 4119-4132 (2022) - [j73]Shiyu Cheng, Dongsheng Yang, Tong Yang, Haowei Zhang, Bin Cui:
LTC: A Fast Algorithm to Accurately Find Significant Items in Data Streams. IEEE Trans. Knowl. Data Eng. 34(9): 4342-4356 (2022) - [j72]Zhaodong Kang, Jin Xu, Wenqi Wang, Jie Jiang, Shiqi Jiang, Tong Yang, Bin Cui, Tilman Wolf:
Coloring Embedder: Towards Multi-Set Membership Queries in Web Cache Sharing. IEEE Trans. Knowl. Data Eng. 34(12): 5664-5680 (2022) - 2021
- [j71]Jie Gu, Bin Cui, Shan Lu:
A classification framework for multivariate compositional data with Dirichlet feature embedding. Knowl. Based Syst. 212: 106614 (2021) - [j70]Shiwen Wu, Yuanxing Zhang, Wentao Zhang, Kaigui Bian, Bin Cui:
Enhanced review-based rating prediction by exploiting aside information and user influence. Knowl. Based Syst. 222: 107015 (2021) - [j69]Yahui Sun, Xiaokui Xiao, Bin Cui, Saman K. Halgamuge, Theodoros Lappas, Jun Luo:
Finding Group Steiner Trees in Graphs with both Vertex and Edge Weights. Proc. VLDB Endow. 14(7): 1137-1149 (2021) - [j68]Rong Zhu, Ziniu Wu, Yuxing Han, Kai Zeng, Andreas Pfadler, Zhengping Qian, Jingren Zhou, Bin Cui:
FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation. Proc. VLDB Endow. 14(9): 1489-1502 (2021) - [j67]Yang Li, Yu Shen, Wentao Zhang, Jiawei Jiang, Yaliang Li, Bolin Ding, Jingren Zhou, Zhi Yang, Wentao Wu, Ce Zhang, Bin Cui:
VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition. Proc. VLDB Endow. 14(11): 2167-2176 (2021) - [j66]Wentao Zhang, Zhi Yang, Yexin Wang, Yu Shen, Yang Li, Liang Wang, Bin Cui:
Grain: Improving Data Efficiency of Graph Neural Networks via Diversified Influence Maximization. Proc. VLDB Endow. 14(11): 2473-2482 (2021) - [j65]Xupeng Miao, Hailin Zhang, Yining Shi, Xiaonan Nie, Zhi Yang, Yangyu Tao, Bin Cui:
HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework. Proc. VLDB Endow. 15(2): 312-320 (2021) - [j64]Yuxing Han, Ziniu Wu, Peizhi Wu, Rong Zhu, Jingyi Yang, Liang Wei Tan, Kai Zeng, Gao Cong, Yanzhao Qin, Andreas Pfadler, Zhengping Qian, Jingren Zhou, Jiangneng Li, Bin Cui:
Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation. Proc. VLDB Endow. 15(4): 752-765 (2021) - [j63]Yingxia Shao, Xupeng Li, Yiru Chen, Lele Yu, Bin Cui:
Sys-TM: A Fast and General Topic Modeling System. IEEE Trans. Knowl. Data Eng. 33(6): 2790-2802 (2021) - [j62]Yunyan Guo, Zhipeng Zhang, Jiawei Jiang, Wentao Wu, Ce Zhang, Bin Cui, Jianzhong Li:
Model averaging in distributed machine learning: a case study with Apache Spark. VLDB J. 30(4): 693-712 (2021) - [j61]Yingxia Shao, Shiyue Huang, Yawen Li, Xupeng Miao, Bin Cui, Lei Chen:
Memory-aware framework for fast and scalable second-order random walk over billion-edge natural graphs. VLDB J. 30(5): 769-797 (2021) - 2020
- [j60]Wentao Zhang, Jiawei Jiang, Yingxia Shao, Bin Cui:
Snapshot boosting: a fast ensemble framework for deep neural networks. Sci. China Inf. Sci. 63(1): 112102 (2020) - [j59]Yingxia Shao, Yanyan Shen, Bin Cui, Jeffrey Xu Yu:
DASFAA 20202 Special Issue Editorial. Data Sci. Eng. 5(4): 331-332 (2020) - [j58]Shiwen Wu, Yuanxing Zhang, Chengliang Gao, Kaigui Bian, Bin Cui:
GARG: Anonymous Recommendation of Point-of-Interest in Mobile Networks by Graph Convolution Network. Data Sci. Eng. 5(4): 433-447 (2020) - [j57]Yahui Sun, Jun Luo, Theodoros Lappas, Xiaokui Xiao, Bin Cui:
Hunting multiple bumps in graphs. Proc. VLDB Endow. 13(5): 656-669 (2020) - [j56]Yinda Zhang, Jinyang Li, Yutian Lei, Tong Yang, Zhetao Li, Gong Zhang, Bin Cui:
On-Off Sketch: A Fast and Accurate Sketch on Persistence. Proc. VLDB Endow. 14(2): 128-140 (2020) - [j55]Long Guo, Lifeng Hua, Rongfei Jia, Fei Fang, Binqiang Zhao, Bin Cui:
EdgeDIPN: a Unified Deep Intent Prediction Network Deployed at the Edge. Proc. VLDB Endow. 14(3): 320-328 (2020) - [j54]Lingtong Liu, Yulong Shen, Yibo Yan, Tong Yang, Muhammad Shahzad, Bin Cui, Gaogang Xie:
SF-Sketch: A Two-Stage Sketch for Data Streams. IEEE Trans. Parallel Distributed Syst. 31(10): 2263-2276 (2020) - [j53]Jiawei Jiang, Fangcheng Fu, Tong Yang, Yingxia Shao, Bin Cui:
SKCompress: compressing sparse and nonuniform gradient in distributed machine learning. VLDB J. 29(5): 945-972 (2020) - 2019
- [j52]Yingxia Shao, Jialin Liu, Shuyang Shi, Yuemei Zhang, Bin Cui:
Fast De-anonymization of Social Networks with Structural Information. Data Sci. Eng. 4(1): 76-92 (2019) - [j51]Dongxiang Zhang, Wei Wang, Bin Cui, Heng Tao Shen:
Special Issue of APWeb-WAIM 2019. Data Sci. Eng. 4(4): 291-292 (2019) - [j50]Fangcheng Fu, Jiawei Jiang, Yingxia Shao, Bin Cui:
An Experimental Evaluation of Large Scale GBDT Systems. Proc. VLDB Endow. 12(11): 1357-1370 (2019) - [j49]Tong Yang, Jie Jiang, Yang Zhou, Long He, Jinyang Li, Bin Cui, Steve Uhlig, Xiaoming Li:
Fast and accurate stream processing by filtering the cold. VLDB J. 28(5): 735-763 (2019) - [j48]Lun Wang, Tong Yang, Hao Wang, Jie Jiang, Zekun Cai, Bin Cui, Xiaoming Li:
Fine-grained probability counting for cardinality estimation of data streams. World Wide Web 22(5): 2065-2081 (2019) - 2018
- [j47]Long Guo, Dongxiang Zhang, Yuan Wang, Huayu Wu, Bin Cui, Kian-Lee Tan:
CO2: Inferring Personal Interests From Raw Footprints by Connecting the Offline World with the Online World. ACM Trans. Inf. Syst. 36(3): 31:1-31:29 (2018) - 2017
- [j46]Zhipeng Zhang, Yingxia Shao, Bin Cui, Ce Zhang:
An Experimental Evaluation of SimRank-based Similarity Search Algorithms. Proc. VLDB Endow. 10(5): 601-612 (2017) - [j45]Lele Yu, Bin Cui, Ce Zhang, Yingxia Shao:
LDA*: A Robust and Large-scale Topic Modeling System. Proc. VLDB Endow. 10(11): 1406-1417 (2017) - [j44]Xupeng Li, Bin Cui, Yiru Chen, Wentao Wu, Ce Zhang:
MLog: Towards Declarative In-Database Machine Learning. Proc. VLDB Endow. 10(12): 1933-1936 (2017) - [j43]Yingxia Shao, Kai Lei, Lei Chen, Zi Huang, Bin Cui, Zhongyi Liu, Yunhai Tong, Jin Xu:
Fast Parallel Path Concatenation for Graph Extraction. IEEE Trans. Knowl. Data Eng. 29(10): 2210-2222 (2017) - [j42]Xiaogang Shi, Bin Cui, Gillian Dobbie, Beng Chin Ooi:
UniAD: A Unified Ad Hoc Data Processing System. ACM Trans. Database Syst. 42(1): 6:1-6:42 (2017) - [j41]Jiawei Jiang, Yunhai Tong, Hua Lu, Bin Cui, Kai Lei, Lele Yu:
GVoS: A General System for Near-Duplicate Video-Related Applications on Storm. ACM Trans. Inf. Syst. 36(1): 3:1-3:36 (2017) - 2016
- [j40]Bin Cui, Jie Jiang, Quanlong Huang, Ying Xu, Yanjun Gui, Wenyu Zhang:
POS: A High-Level System to Simplify Real-Time Stream Application Development on Storm. Data Sci. Eng. 1(1): 41-50 (2016) - [j39]Hongzhi Yin, Xiaofang Zhou, Bin Cui, Hao Wang, Kai Zheng, Nguyen Quoc Viet Hung:
Adapting to User Interest Drift for POI Recommendation. IEEE Trans. Knowl. Data Eng. 28(10): 2566-2581 (2016) - [j38]Hongzhi Yin, Bin Cui, Xiaofang Zhou, Weiqing Wang, Zi Huang, Shazia W. Sadiq:
Joint Modeling of User Check-in Behaviors for Real-time Point-of-Interest Recommendation. ACM Trans. Inf. Syst. 35(2): 11:1-11:44 (2016) - [j37]Yiran Xie, Hongzhi Yin, Bin Cui, Junjie Yao, Quanqing Xu:
Distinguishing re-sharing behaviors from re-creating behaviors in information diffusion. World Wide Web 19(6): 1203-1230 (2016) - 2015
- [j36]Yingxia Shao, Bin Cui, Lei Chen, Mingming Liu, Xing Xie:
An Efficient Similarity Search Framework for SimRank over Large Dynamic Graphs. Proc. VLDB Endow. 8(8): 838-849 (2015) - [j35]Hongzhi Yin, Bin Cui, Ling Chen, Zhiting Hu, Chengqi Zhang:
Modeling Location-Based User Rating Profiles for Personalized Recommendation. ACM Trans. Knowl. Discov. Data 9(3): 19:1-19:41 (2015) - [j34]Yingxia Shao, Bin Cui, Lin Ma:
PAGE: A Partition Aware Engine for Parallel Graph Computation. IEEE Trans. Knowl. Data Eng. 27(2): 518-530 (2015) - [j33]Ning Xu, Bin Cui, Lei Chen, Zi Huang, Yingxia Shao:
Heterogeneous Environment Aware Streaming Graph Partitioning. IEEE Trans. Knowl. Data Eng. 27(6): 1560-1572 (2015) - [j32]Hongzhi Yin, Bin Cui, Ling Chen, Zhiting Hu, Xiaofang Zhou:
Dynamic User Modeling in Social Media Systems. ACM Trans. Inf. Syst. 33(3): 10:1-10:44 (2015) - [j31]Yanxiang Huang, Lele Yu, Xiang Wang, Bin Cui:
A multi-source integration framework for user occupation inference in social media systems. World Wide Web 18(5): 1247-1267 (2015) - 2014
- [j30]Yanfei Lv, Bin Cui, Xuexuan Chen, Jing Li:
HAT: an efficient buffer management method for flash-based hybrid storage systems. Frontiers Comput. Sci. 8(3): 440-455 (2014) - [j29]Ning Xu, Lei Chen, Bin Cui:
LogGP: A Log-based Dynamic Graph Partitioning Method. Proc. VLDB Endow. 7(14): 1917-1928 (2014) - [j28]Hongzhi Yin, Bin Cui, Yizhou Sun, Zhiting Hu, Ling Chen:
LCARS: A Spatial Item Recommender System. ACM Trans. Inf. Syst. 32(3): 11:1-11:37 (2014) - 2013
- [j27]Chen Chen, Hongzhi Yin, Junjie Yao, Bin Cui:
TeRec: A Temporal Recommender System Over Tweet Stream. Proc. VLDB Endow. 6(12): 1254-1257 (2013) - [j26]Zi Huang, Jiajun Liu, Bin Cui, Xiaoyong Du:
A Gram-Based String Paradigm for Efficient Video Subsequence Search. IEEE Trans. Multim. 15(3): 608-620 (2013) - 2012
- [j25]Jingdong Wang, Zhe Zhao, Jiazhen Zhou, Hao Wang, Bin Cui, Guojun Qi:
Recommending Flickr groups with social topic model. Inf. Retr. 15(3-4): 278-295 (2012) - [j24]Zhe Zhao, Bin Cui, Gao Cong, Zi Huang, Heng Tao Shen:
Extracting representative motion flows for effective video retrieval. Multim. Tools Appl. 58(3): 687-711 (2012) - [j23]Hongzhi Yin, Bin Cui, Jing Li, Junjie Yao, Chen Chen:
Challenging the Long Tail Recommendation. Proc. VLDB Endow. 5(9): 896-907 (2012) - [j22]Bin Cui, Zhe Zhao, Wee Hyong Tok:
A Framework for Similarity Search of Time Series Cliques with Natural Relations. IEEE Trans. Knowl. Data Eng. 24(3): 385-398 (2012) - [j21]Xin Cao, Gao Cong, Bin Cui, Christian S. Jensen, Quan Yuan:
Approaches to Exploring Category Information for Question Retrieval in Community Question-Answer Archives. ACM Trans. Inf. Syst. 30(2): 7:1-7:38 (2012) - [j20]Junjie Yao, Bin Cui, Yuxin Huang, Yanhong Zhou:
Bursty event detection from collaborative tags. World Wide Web 15(2): 171-195 (2012) - [j19]Junjie Yao, Bin Cui, Gao Cong, Yuxin Huang:
Evolutionary taxonomy construction from dynamic tag space. World Wide Web 15(5-6): 581-602 (2012) - 2011
- [j18]Lijiang Chen, Bin Cui, Hua Lu:
Constrained Skyline Query Processing against Distributed Data Sites. IEEE Trans. Knowl. Data Eng. 23(2): 204-217 (2011) - [j17]Jiajun Liu, Zi Huang, Heng Tao Shen, Bin Cui:
Correlation-based retrieval for heavily changed near-duplicate videos. ACM Trans. Inf. Syst. 29(4): 21:1-21:25 (2011) - 2010
- [j16]Bin Cui, Jiakui Zhao, Dongqing Yang:
Exploring Correlated Subspaces for Efficient Query Processing in Sparse Databases. IEEE Trans. Knowl. Data Eng. 22(2): 219-233 (2010) - [j15]Zi Huang, Heng Tao Shen, Jie Shao, Bin Cui, Xiaofang Zhou:
Practical Online Near-Duplicate Subsequence Detection for Continuous Video Streams. IEEE Trans. Multim. 12(5): 386-398 (2010) - 2009
- [j14]Bo Peng, Bin Cui, Xiaoming Li:
Implementation Issues of A Cloud Computing Platform. IEEE Data Eng. Bull. 32(1): 59-66 (2009) - [j13]Bin Cui, Linhao Xu, Jiakui Zhao:
Linking identical neighborly partitions for efficient high-dimensional similarity search in unstructured peer-to-peer systems. Distributed Parallel Databases 26(2-3): 207-229 (2009) - [j12]Quanqing Xu, Heng Tao Shen, Zaiben Chen, Bin Cui, Xiaofang Zhou, Yafei Dai:
Hybrid information retrieval policies based on cooperative cache in mobile P2P networks. Frontiers Comput. Sci. China 3(3): 381-395 (2009) - [j11]Guojie Song, Bin Cui, Baihua Zheng, Kunqing Xie, Dongqing Yang:
Accelerating sequence searching: dimensionality reduction method. Knowl. Inf. Syst. 20(3): 301-322 (2009) - [j10]Bin Cui, Lijiang Chen, Linhao Xu, Hua Lu, Guojie Song, Quanqing Xu:
Efficient Skyline Computation in Structured Peer-to-Peer Systems. IEEE Trans. Knowl. Data Eng. 21(7): 1059-1072 (2009) - [j9]Zi Huang, Heng Tao Shen, Jie Shao, Xiaofang Zhou, Bin Cui:
Bounded coordinate system indexing for real-time video clip search. ACM Trans. Inf. Syst. 27(3): 17:1-17:33 (2009) - [j8]Jialie Shen, John Shepherd, Bin Cui, Kian-Lee Tan:
A novel framework for efficient automated singer identification in large music databases. ACM Trans. Inf. Syst. 27(3): 18:1-18:31 (2009) - 2008
- [j7]Lu-An Tang, Bin Cui, Hongyan Li, Gaoshan Miao, Dongqing Yang, Xinbiao Zhou:
PGG: An Online Pattern Based Approach for Stream Variation Management. J. Comput. Sci. Technol. 23(4): 497-515 (2008) - 2007
- [j6]Cui Yu, Bin Cui, Shuguang Wang, Jianwen Su:
Efficient index-based KNN join processing for high-dimensional data. Inf. Softw. Technol. 49(4): 332-344 (2007) - 2006
- [j5]Bin Cui, Dan Lin, Kian-Lee Tan:
IMPACT: A twin-index framework for efficient moving object query processing. Data Knowl. Eng. 59(1): 63-85 (2006) - [j4]Heng Tao Shen, Kian-Lee Tan, Xiaofang Zhou, Bin Cui:
ICICLE: A semantic-based retrieval system for WWW images. Multim. Syst. 11(5): 438-454 (2006) - [j3]Heng Tao Shen, Xiaofang Zhou, Bin Cui:
Indexing and Integrating Multiple Features for WWW Images. World Wide Web 9(3): 343-364 (2006) - 2005
- [j2]Bin Cui, Beng Chin Ooi, Jianwen Su, Kian-Lee Tan:
Indexing High-Dimensional Data for Efficient In-Memory Similarity Search. IEEE Trans. Knowl. Data Eng. 17(3): 339-353 (2005) - 2004
- [j1]Bin Cui, Beng Chin Ooi, Jianwen Su, Kian-Lee Tan:
Main Memory Indexing: The Case for BD-Tree. IEEE Trans. Knowl. Data Eng. 16(7): 870-874 (2004)
Conference and Workshop Papers
- 2024
- [c213]Zihao Yu, Haoyang Li, Fangcheng Fu, Xupeng Miao, Bin Cui:
Accelerating Text-to-Image Editing via Cache-Enabled Sparse Diffusion Inference. AAAI 2024: 16605-16613 - [c212]Xupeng Miao, Chunan Shi, Jiangfei Duan, Xiaoli Xi, Dahua Lin, Bin Cui, Zhihao Jia:
SpotServe: Serving Generative Large Language Models on Preemptible Instances. ASPLOS (2) 2024: 1112-1127 - [c211]Zijian Song, Wenhan Zhang, Lifang Deng, Jiandong Zhang, Kaigui Bian, Bin Cui:
MultiLoRA: Multi-Directional Low Rank Adaptation for Multi-Domain Recommendation. CIKM 2024: 2148-2157 - [c210]Ling Yang, Haotian Qian, Zhilong Zhang, Jingwei Liu, Bin Cui:
Structure-Guided Adversarial Training of Diffusion Models. CVPR 2024: 7256-7266 - [c209]Yuhan Wu, Aomufei Yuan, Zhouran Shi, Yuanpeng Li, Yikai Zhao, Peiqing Chen, Tong Yang, Bin Cui:
Online Detection of Outstanding Quantiles with QuantileFilter. ICDE 2024: 831-844 - [c208]Yuhan Wu, Hanbo Wu, Chengjun Jia, Bo Peng, Ziyun Zhang, Tong Yang, Peiqing Chen, Kaicheng Yang, Bin Cui:
Scalable Overspeed Item Detection in Streams. ICDE 2024: 1157-1170 - [c207]Qizhi Chen, Yisen Hong, Yuhan Wu, Tong Yang, Bin Cui:
CodingSketch: A Hierarchical Sketch with Efficient Encoding and Recursive Decoding. ICDE 2024: 1592-1605 - [c206]Yuhao Tang, Junyu Luo, Ling Yang, Xiao Luo, Wentao Zhang, Bin Cui:
Multi- View Teacher with Curriculum Data Fusion for Robust Unsupervised Domain Adaptation. ICDE 2024: 2598-2611 - [c205]Wentao Zhang, Yexin Wang, Zhenbang You, Yang Li, Gang Cao, Zhi Yang, Bin Cui:
NC-ALG: Graph-Based Active Learning Under Noisy Crowd. ICDE 2024: 2681-2694 - [c204]Yuxuan Liang, Wentao Zhang, Zeang Sheng, Ling Yang, Jiawei Jiang, Yunhai Tong, Bin Cui:
HGAMLP: Heterogeneous Graph Attention MLP with De-Redundancy Mechanism. ICDE 2024: 2779-2791 - [c203]Jie Liu, Mengting He, Xuequn Shang, Jieming Shi, Bin Cui, Hongzhi Yin:
BOURNE: Bootstrapped Self-Supervised Learning Framework for Unified Graph Anomaly Detection. ICDE 2024: 2820-2833 - [c202]Qizhi Chen, Ke Wang, Aoran Li, Yuhan Wu, Tong Yang, Bin Cui:
Newton Sketches: Estimating Node Intimacy in Dynamic Graphs Using Newton's Law of Cooling. ICDE 2024: 2904-2916 - [c201]Wentao Zhang, Xinyi Gao, Ling Yang, Meng Cao, Ping Huang, Jiulong Shan, Hongzhi Yin, Bin Cui:
BIM: Improving Graph Neural Networks with Balanced Influence Maximization. ICDE 2024: 2931-2944 - [c200]Xinyi Gao, Wentao Zhang, Junliang Yu, Yingxia Shao, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin:
Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation. ICDE 2024: 3042-3055 - [c199]Yuhan Wu, Feiyu Wang, Yifan Zhu, Zhuochen Fan, Zhiting Xiong, Tong Yang, Bin Cui:
VisionEmbedder: Bit-Level-Compact Key-Value Storage with Constant Lookup, Rapid Updates, and Rare Failure. ICDE 2024: 4248-4261 - [c198]Zhuo Chang, Xinyi Zhang, Yang Li, Xupeng Miao, Yanzhao Qin, Bin Cui:
MFIX: An Efficient and Reliable Index Advisor via Multi-Fidelity Bayesian Optimization. ICDE 2024: 4343-4356 - [c197]Ling Yang, Ye Tian, Minkai Xu, Zhongyi Liu, Shenda Hong, Wei Qu, Wentao Zhang, Bin Cui, Muhan Zhang, Jure Leskovec:
VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs. ICLR 2024 - [c196]Ling Yang, Zhilong Zhang, Zhaochen Yu, Jingwei Liu, Minkai Xu, Stefano Ermon, Bin Cui:
Cross-Modal Contextualized Diffusion Models for Text-Guided Visual Generation and Editing. ICLR 2024 - [c195]Zhilin Huang, Ling Yang, Xiangxin Zhou, Zhilong Zhang, Wentao Zhang, Xiawu Zheng, Jie Chen, Yu Wang, Bin Cui, Wenming Yang:
Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models. ICLR 2024 - [c194]Ling Yang, Zhaochen Yu, Chenlin Meng, Minkai Xu, Stefano Ermon, Bin Cui:
Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs. ICML 2024 - [c193]Xupeng Miao, Shenhan Zhu, Fangcheng Fu, Ziyu Guo, Zhi Yang, Yaofeng Tu, Zhihao Jia, Bin Cui:
X-former Elucidator: Reviving Efficient Attention for Long Context Language Modeling. IJCAI 2024: 8179-8187 - [c192]Zijian Song, Wenhan Zhang, Lifang Deng, Jiandong Zhang, Zhihua Wu, Kaigui Bian, Bin Cui:
Mitigating Negative Transfer in Cross-Domain Recommendation via Knowledge Transferability Enhancement. KDD 2024: 2745-2754 - [c191]Zongwei Wang, Junliang Yu, Min Gao, Hongzhi Yin, Bin Cui, Shazia W. Sadiq:
Unveiling Vulnerabilities of Contrastive Recommender Systems to Poisoning Attacks. KDD 2024: 3311-3322 - [c190]Wentao Zhang, Guochen Yan, Yu Shen, Ling Yang, Yangyu Tao, Bin Cui, Jian Tang:
NPA: Improving Large-scale Graph Neural Networks with Non-parametric Attention. SIGMOD Conference Companion 2024: 414-427 - [c189]Xupeng Miao, Zhihao Jia, Bin Cui:
Demystifying Data Management for Large Language Models. SIGMOD Conference Companion 2024: 547-555 - [c188]Hao Ge, Fangcheng Fu, Haoyang Li, Xuanyu Wang, Sheng Lin, Yujie Wang, Xiaonan Nie, Hailin Zhang, Xupeng Miao, Bin Cui:
Enabling Parallelism Hot Switching for Efficient Training of Large Language Models. SOSP 2024: 178-194 - [c187]Hongzhi Yin, Tong Chen, Liang Qu, Bin Cui:
On-Device Recommender Systems: A Tutorial on The New-Generation Recommendation Paradigm. WWW (Companion Volume) 2024: 1280-1283 - 2023
- [c186]Ziyu Guo, Renrui Zhang, Longtian Qiu, Xianzheng Ma, Xupeng Miao, Xuming He, Bin Cui:
CALIP: Zero-Shot Enhancement of CLIP with Parameter-Free Attention. AAAI 2023: 746-754 - [c185]Yu Shen, Yang Li, Jian Zheng, Wentao Zhang, Peng Yao, Jixiang Li, Sen Yang, Ji Liu, Bin Cui:
ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-Cost Proxies. AAAI 2023: 9792-9801 - [c184]Zeang Sheng, Wentao Zhang, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui:
Graph-Enforced Neural Network for Attributed Graph Clustering. APWeb-WAIM (1) 2023: 111-126 - [c183]Tianmeng Yang, Min Zhou, Yujing Wang, Zhengjie Lin, Lujia Pan, Bin Cui, Yunhai Tong:
Mitigating Semantic Confusion from Hostile Neighborhood for Graph Active Learning. CIKM 2023: 4380-4384 - [c182]Zirui Liu, Chaozhe Kong, Kaicheng Yang, Tong Yang, Ruijie Miao, Qizhi Chen, Yikai Zhao, Yaofeng Tu, Bin Cui:
HyperCalm Sketch: One-Pass Mining Periodic Batches in Data Streams. ICDE 2023: 14-26 - [c181]Yuhan Wu, Siyuan Dong, Yi Zhou, Yikai Zhao, Fangcheng Fu, Tong Yang, Chaoyue Niu, Fan Wu, Bin Cui:
KVSAgg: Secure Aggregation of Distributed Key-Value Sets. ICDE 2023: 1775-1789 - [c180]Zhuochen Fan, Jiarui Guo, Xiaodong Li, Tong Yang, Yikai Zhao, Yuhan Wu, Bin Cui, Yanwei Xu, Steve Uhlig, Gong Zhang:
Finding Simplex Items in Data Streams. ICDE 2023: 1953-1966 - [c179]Ruijie Miao, Fenghao Dong, Yikai Zhao, Yiming Zhao, Yuhan Wu, Kaicheng Yang, Tong Yang, Bin Cui:
SketchConf: A Framework for Automatic Sketch Configuration. ICDE 2023: 2022-2035 - [c178]Ziwei Wang, Zheng Zhong, Jiarui Guo, Yuhan Wu, Haoyu Li, Tong Yang, Yaofeng Tu, Huanchen Zhang, Bin Cui:
REncoder: A Space-Time Efficient Range Filter with Local Encoder. ICDE 2023: 2036-2049 - [c177]Xu Xie, Jin Niu, Lifang Deng, Dan Wang, Jiandong Zhang, Zhihua Wu, Kaigui Bian, Gang Cao, Bin Cui:
Hierarchical Interest Modeling of Long-tailed Users for Click-Through Rate Prediction. ICDE 2023: 3058-3071 - [c176]Youhe Jiang, Fangcheng Fu, Xupeng Miao, Xiaonan Nie, Bin Cui:
OSDP: Optimal Sharded Data Parallel for Distributed Deep Learning. IJCAI 2023: 2142-2150 - [c175]Xiaodong Li, Zhuochen Fan, Haoyu Li, Zheng Zhong, Jiarui Guo, Sheng Long, Tong Yang, Bin Cui:
SteadySketch: Finding Steady Flows in Data Streams. IWQoS 2023: 1-9 - [c174]Jiarui Guo, Yisen Hong, Yuhan Wu, Yunfei Liu, Tong Yang, Bin Cui:
SketchPolymer: Estimate Per-item Tail Quantile Using One Sketch. KDD 2023: 590-601 - [c173]Ruijie Miao, Yiyao Zhang, Guanyu Qu, Kaicheng Yang, Tong Yang, Bin Cui:
Hyper-USS: Answering Subset Query Over Multi-Attribute Data Stream. KDD 2023: 1698-1709 - [c172]Yuhan Wu, Shiqi Jiang, Siyuan Dong, Zheng Zhong, Jiale Chen, Yutong Hu, Tong Yang, Steve Uhlig, Bin Cui:
MicroscopeSketch: Accurate Sliding Estimation Using Adaptive Zooming. KDD 2023: 2660-2671 - [c171]Yu Shen, Xinyuyang Ren, Yupeng Lu, Huaijun Jiang, Huanyong Xu, Di Peng, Yang Li, Wentao Zhang, Bin Cui:
Rover: An Online Spark SQL Tuning Service via Generalized Transfer Learning. KDD 2023: 4800-4812 - [c170]Ling Yang, Jingwei Liu, Shenda Hong, Zhilong Zhang, Zhilin Huang, Zheming Cai, Wentao Zhang, Bin Cui:
Improving Diffusion-Based Image Synthesis with Context Prediction. NeurIPS 2023 - [c169]Hailin Zhang, Yujing Wang, Qi Chen, Ruiheng Chang, Ting Zhang, Ziming Miao, Yingyan Hou, Yang Ding, Xupeng Miao, Haonan Wang, Bochen Pang, Yuefeng Zhan, Hao Sun, Weiwei Deng, Qi Zhang, Fan Yang, Xing Xie, Mao Yang, Bin Cui:
Model-enhanced Vector Index. NeurIPS 2023 - [c168]Jiasheng Zhang, Jie Shao, Bin Cui:
StreamE: Learning to Update Representations for Temporal Knowledge Graphs in Streaming Scenarios. SIGIR 2023: 622-631 - 2022
- [c167]Hongbo Yin, Yingxia Shao, Xupeng Miao, Yawen Li, Bin Cui:
Scalable Graph Sampling on GPUs with Compressed Graph. CIKM 2022: 2383-2392 - [c166]Long Guo, Fei Fang, Binqiang Zhao, Bin Cui:
UDM: A Unified Deep Matching Framework in Recommender Systems. CIKM 2022: 3122-3130 - [c165]Renrui Zhang, Ziyu Guo, Wei Zhang, Kunchang Li, Xupeng Miao, Bin Cui, Yu Qiao, Peng Gao, Hongsheng Li:
PointCLIP: Point Cloud Understanding by CLIP. CVPR 2022: 8542-8552 - [c164]Bin Cui, Chuan Li, Anwer Al-Dulaimi:
Message from Data Science and Systems 2022 Program Chairs. HPCC/DSS/SmartCity/DependSys 2022: lxxix - [c163]Zhuochen Fan, Yinda Zhang, Tong Yang, Mingyi Yan, Gang Wen, Yuhan Wu, Hongze Li, Bin Cui:
PeriodicSketch: Finding Periodic Items in Data Streams. ICDE 2022: 96-109 - [c162]Yikai Zhao, Yubo Zhang, Pu Yi, Tong Yang, Bin Cui, Steve Uhlig:
The Stair Sketch: Bringing more Clarity to Memorize Recent Events. ICDE 2022: 164-177 - [c161]Xu Xie, Fei Sun, Zhaoyang Liu, Shiwen Wu, Jinyang Gao, Jiandong Zhang, Bolin Ding, Bin Cui:
Contrastive Learning for Sequential Recommendation. ICDE 2022: 1259-1273 - [c160]Shuang Liang, Jie Shao, Dongyang Zhang, Jiasheng Zhang, Bin Cui:
DRGI: Deep Relational Graph Infomax for Knowledge Graph Completion: (Extended Abstract). ICDE 2022: 1499-1500 - [c159]Xupeng Miao, Wentao Zhang, Yingxia Shao, Bin Cui, Lei Chen, Ce Zhang, Jiawei Jiang:
Lasagne: A Multi-Layer Graph Convolutional Network Framework via Node-aware Deep Architecture (Extended Abstract). ICDE 2022: 1561-1562 - [c158]Sicong Dong, Xupeng Miao, Pengkai Liu, Xin Wang, Bin Cui, Jianxin Li:
HET-KG: Communication-Efficient Knowledge Graph Embedding Training via Hotness-Aware Cache. ICDE 2022: 1754-1766 - [c157]Yuezihan Jiang, Yu Cheng, Hanyu Zhao, Wentao Zhang, Xupeng Miao, Yu He, Liang Wang, Zhi Yang, Bin Cui:
Zoomer: Boosting Retrieval on Web-scale Graphs by Regions of Interest. ICDE 2022: 2224-2236 - [c156]Xiaonan Nie, Xupeng Miao, Zhi Yang, Bin Cui:
TSPLIT: Fine-grained GPU Memory Management for Efficient DNN Training via Tensor Splitting. ICDE 2022: 2615-2628 - [c155]Wentao Zhang, Yexin Wang, Zhenbang You, Meng Cao, Ping Huang, Jiulong Shan, Zhi Yang, Bin Cui:
Information Gain Propagation: a New Way to Graph Active Learning with Soft Labels. ICLR 2022 - [c154]Wentao Zhang, Zheyu Lin, Yu Shen, Yang Li, Zhi Yang, Bin Cui:
Deep and Flexible Graph Neural Architecture Search. ICML 2022: 26362-26374 - [c153]Wentao Zhang, Zeang Sheng, Mingyu Yang, Yang Li, Yu Shen, Zhi Yang, Bin Cui:
NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning. ICML 2022: 26467-26483 - [c152]Zirui Liu, Yikai Zhao, Zhuochen Fan, Tong Yang, Xiaodong Li, Ruwen Zhang, Kaicheng Yang, Zheng Zhong, Yi Huang, Cong Liu, Jing Hu, Gaogang Xie, Bin Cui:
BurstBalancer: Do Less, Better Balance for Large-scale Data Center Traffic. ICNP 2022: 1-13 - [c151]Yida Wang, Shuangshuang Jiang, Bin Cui:
TJOSConf: Automatic and Safe System Environment Operations Platform. ICSCA 2022: 21-28 - [c150]Yang Li, Yu Shen, Huaijun Jiang, Wentao Zhang, Zhi Yang, Ce Zhang, Bin Cui:
TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning. KDD 2022: 956-966 - [c149]Yang Li, Yu Shen, Huaijun Jiang, Tianyi Bai, Wentao Zhang, Ce Zhang, Bin Cui:
Transfer Learning based Search Space Design for Hyperparameter Tuning. KDD 2022: 967-977 - [c148]Wentao Zhang, Zeang Sheng, Ziqi Yin, Yuezihan Jiang, Yikuan Xia, Jun Gao, Zhi Yang, Bin Cui:
Model Degradation Hinders Deep Graph Neural Networks. KDD 2022: 2493-2503 - [c147]Jiawei Jiang, Yusong Hu, Xiaosen Li, Wen Ouyang, Zhitao Wang, Fangcheng Fu, Bin Cui:
Analyzing Online Transaction Networks with Network Motifs. KDD 2022: 3098-3106 - [c146]Wentao Zhang, Ziqi Yin, Zeang Sheng, Yang Li, Wen Ouyang, Xiaosen Li, Yangyu Tao, Zhi Yang, Bin Cui:
Graph Attention Multi-Layer Perceptron. KDD 2022: 4560-4570 - [c145]Yu Shen, Yupeng Lu, Yang Li, Yaofeng Tu, Wentao Zhang, Bin Cui:
DivBO: Diversity-aware CASH for Ensemble Learning. NeurIPS 2022 - [c144]Shicheng Gao, Jie Xu, Xiaosen Li, Fangcheng Fu, Wentao Zhang, Wen Ouyang, Yangyu Tao, Bin Cui:
K-core decomposition on super large graphs with limited resources. SAC 2022: 413-422 - [c143]Xupeng Miao, Yining Shi, Hailin Zhang, Xin Zhang, Xiaonan Nie, Zhi Yang, Bin Cui:
HET-GMP: A Graph-based System Approach to Scaling Large Embedding Model Training. SIGMOD Conference 2022: 470-480 - [c142]Xinyi Zhang, Hong Wu, Yang Li, Jian Tan, Feifei Li, Bin Cui:
Towards Dynamic and Safe Configuration Tuning for Cloud Databases. SIGMOD Conference 2022: 631-645 - [c141]Yikai Zhao, Yinda Zhang, Yuanpeng Li, Yi Zhou, Chunhui Chen, Tong Yang, Bin Cui:
MinMax Sampling: A Near-optimal Global Summary for Aggregation in the Wide Area. SIGMOD Conference 2022: 744-758 - [c140]Yahui Sun, Shuai Ma, Bin Cui:
Hunting Temporal Bumps in Graphs with Dynamic Vertex Properties. SIGMOD Conference 2022: 874-888 - [c139]Fangcheng Fu, Huanran Xue, Yong Cheng, Yangyu Tao, Bin Cui:
BlindFL: Vertical Federated Machine Learning without Peeking into Your Data. SIGMOD Conference 2022: 1316-1330 - [c138]Wentao Zhang, Yu Shen, Zheyu Lin, Yang Li, Xiaosen Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui:
PaSca: A Graph Neural Architecture Search System under the Scalable Paradigm. WWW 2022: 1817-1828 - 2021
- [c137]Yang Li, Yu Shen, Jiawei Jiang, Jinyang Gao, Ce Zhang, Bin Cui:
MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements. AAAI 2021: 8491-8500 - [c136]Yikuan Xia, Jun Gao, Bin Cui:
iMap: Incremental Node Mapping between Large Graphs Using GNN. CIKM 2021: 2191-2200 - [c135]Xu Xie, Zhaoyang Liu, Shiwen Wu, Fei Sun, Cihang Liu, Jiawei Chen, Jinyang Gao, Bin Cui, Bolin Ding:
CausCF: Causal Collaborative Filtering for Recommendation Effect Estimation. CIKM 2021: 4253-4263 - [c134]Xingyu Yao, Yingxia Shao, Bin Cui, Lei Chen:
UniNet: Scalable Network Representation Learning with Metropolis-Hastings Sampling. ICDE 2021: 516-527 - [c133]Xupeng Miao, Lingxiao Ma, Zhi Yang, Yingxia Shao, Bin Cui, Lele Yu, Jiawei Jiang:
CuWide: Towards Efficient Flow-based Training for Sparse Wide Models on GPUs (Extended Abstract). ICDE 2021: 2330-2331 - [c132]Xu Xie, Fei Sun, Xiaoyong Yang, Zhao Yang, Jinyang Gao, Wenwu Ou, Bin Cui:
Explore User Neighborhood for Real-time E-commerce Recommendation. ICDE 2021: 2464-2475 - [c131]Rong Zhu, Andreas Pfadler, Ziniu Wu, Yuxing Han, Xiaoke Yang, Feng Ye, Zhenping Qian, Jingren Zhou, Bin Cui:
Efficient and Scalable Structure Learning for Bayesian Networks: Algorithms and Applications. ICDE 2021: 2613-2624 - [c130]Zeyi Wen, Qinbin Li, Bingsheng He, Bin Cui:
Challenges and Opportunities of Building Fast GBDT Systems. IJCAI 2021: 4661-4668 - [c129]Xupeng Miao, Nezihe Merve Gürel, Wentao Zhang, Zhichao Han, Bo Li, Wei Min, Susie Xi Rao, Hansheng Ren, Yinan Shan, Yingxia Shao, Yujie Wang, Fan Wu, Hui Xue, Yaming Yang, Zitao Zhang, Yang Zhao, Shuai Zhang, Yujing Wang, Bin Cui, Ce Zhang:
DeGNN: Improving Graph Neural Networks with Graph Decomposition. KDD 2021: 1223-1233 - [c128]Wentao Zhang, Yuezihan Jiang, Yang Li, Zeang Sheng, Yu Shen, Xupeng Miao, Liang Wang, Zhi Yang, Bin Cui:
ROD: Reception-aware Online Distillation for Sparse Graphs. KDD 2021: 2232-2242 - [c127]Yang Li, Yu Shen, Wentao Zhang, Yuanwei Chen, Huaijun Jiang, Mingchao Liu, Jiawei Jiang, Jinyang Gao, Wentao Wu, Zhi Yang, Ce Zhang, Bin Cui:
OpenBox: A Generalized Black-box Optimization Service. KDD 2021: 3209-3219 - [c126]Wentao Zhang, Mingyu Yang, Zeang Sheng, Yang Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui:
Node Dependent Local Smoothing for Scalable Graph Learning. NeurIPS 2021: 20321-20332 - [c125]Wentao Zhang, Yexin Wang, Zhenbang You, Meng Cao, Ping Huang, Jiulong Shan, Zhi Yang, Bin Cui:
RIM: Reliable Influence-based Active Learning on Graphs. NeurIPS 2021: 27978-27990 - [c124]Fangcheng Fu, Yingxia Shao, Lele Yu, Jiawei Jiang, Huanran Xue, Yangyu Tao, Bin Cui:
VF2Boost: Very Fast Vertical Federated Gradient Boosting for Cross-Enterprise Learning. SIGMOD Conference 2021: 563-576 - [c123]Xinyi Zhang, Hong Wu, Zhuo Chang, Shuowei Jin, Jian Tan, Feifei Li, Tieying Zhang, Bin Cui:
ResTune: Resource Oriented Tuning Boosted by Meta-Learning for Cloud Databases. SIGMOD Conference 2021: 2102-2114 - [c122]Xupeng Miao, Xiaonan Nie, Yingxia Shao, Zhi Yang, Jiawei Jiang, Lingxiao Ma, Bin Cui:
Heterogeneity-Aware Distributed Machine Learning Training via Partial Reduce. SIGMOD Conference 2021: 2262-2270 - [c121]Wentao Zhang, Yu Shen, Yang Li, Lei Chen, Zhi Yang, Bin Cui:
ALG: Fast and Accurate Active Learning Framework for Graph Convolutional Networks. SIGMOD Conference 2021: 2366-2374 - [c120]Zheng Zhong, Shen Yan, Zikun Li, Decheng Tan, Tong Yang, Bin Cui:
BurstSketch: Finding Bursts in Data Streams. SIGMOD Conference 2021: 2375-2383 - 2020
- [c119]Yang Li, Jiawei Jiang, Jinyang Gao, Yingxia Shao, Ce Zhang, Bin Cui:
Efficient Automatic CASH via Rising Bandits. AAAI 2020: 4763-4771 - [c118]Minxu Zhang, Yingxia Shao, Kai Lei, Yuesheng Zhu, Bin Cui:
Densely-Connected Transformer with Co-attentive Information for Matching Text Sequences. APWeb/WAIM (2) 2020: 230-244 - [c117]Yuanxing Zhang, Pengyu Zhao, Yushuo Guan, Lin Chen, Kaigui Bian, Lingyang Song, Bin Cui, Xiaoming Li:
Preference-Aware Mask for Session-Based Recommendation with Bidirectional Transformer. ICASSP 2020: 3412-3416 - [c116]Wentao Zhang, Jiawei Jiang, Yingxia Shao, Bin Cui:
Efficient Diversity-Driven Ensemble for Deep Neural Networks. ICDE 2020: 73-84 - [c115]Lei Guo, Hongzhi Yin, Qinyong Wang, Bin Cui, Zi Huang, Lizhen Cui:
Group Recommendation with Latent Voting Mechanism. ICDE 2020: 121-132 - [c114]Zhipeng Zhang, Wentao Wu, Jiawei Jiang, Lele Yu, Bin Cui, Ce Zhang:
C olumnSGD: A Column-oriented Framework for Distributed Stochastic Gradient Descent. ICDE 2020: 1513-1524 - [c113]Jiawei Jiang, Pin Xiao, Lele Yu, Xiaosen Li, Jiefeng Cheng, Xupeng Miao, Zhipeng Zhang, Bin Cui:
PSGraph: How Tencent trains extremely large-scale graphs with Spark? ICDE 2020: 1549-1557 - [c112]Fangcheng Fu, Yuzheng Hu, Yihan He, Jiawei Jiang, Yingxia Shao, Ce Zhang, Bin Cui:
Don't Waste Your Bits! Squeeze Activations and Gradients for Deep Neural Networks via TinyScript. ICML 2020: 3304-3314 - [c111]Xiangyang Gou, Long He, Yinda Zhang, Ke Wang, Xilai Liu, Tong Yang, Yi Wang, Bin Cui:
Sliding Sketches: A Framework using Time Zones for Data Stream Processing in Sliding Windows. KDD 2020: 1015-1025 - [c110]Jizhou Li, Zikun Li, Yifei Xu, Shiqi Jiang, Tong Yang, Bin Cui, Yafei Dai, Gong Zhang:
WavingSketch: An Unbiased and Generic Sketch for Finding Top-k Items in Data Streams. KDD 2020: 1574-1584 - [c109]Wentao Zhang, Xupeng Miao, Yingxia Shao, Jiawei Jiang, Lei Chen, Olivier Ruas, Bin Cui:
Reliable Data Distillation on Graph Convolutional Network. SIGMOD Conference 2020: 1399-1414 - [c108]Yingxia Shao, Shiyue Huang, Xupeng Miao, Bin Cui, Lei Chen:
Memory-Aware Framework for Efficient Second-Order Random Walk on Large Graphs. SIGMOD Conference 2020: 1797-1812 - 2019
- [c107]Huanran Xue, Jiawei Jiang, Yingxia Shao, Bin Cui:
FeatureBand: A Feature Selection Method by Combining Early Stopping and Genetic Local Search. APWeb/WAIM (2) 2019: 27-41 - [c106]Zhouyi Sun, Siang Gao, Bingqing Liu, Yufei Wang, Tong Yang, Bin Cui:
Magic Cube Bloom Filter: Answering Membership Queries for Multiple Sets. BigComp 2019: 1-8 - [c105]Haobo Sun, Yingxia Shao, Jiawei Jiang, Bin Cui, Kai Lei, Yu Xu, Jiang Wang:
Sparse Gradient Compression for Distributed SGD. DASFAA (2) 2019: 139-155 - [c104]Tong Yang, Dongsheng Yang, Jie Jiang, Siang Gao, Bin Cui, Lei Shi, Xiaoming Li:
Coloring Embedder: A Memory Efficient Data Structure for Answering Multi-set Query. ICDE 2019: 1142-1153 - [c103]Dagang Li, Rong Du, Ziheng Liu, Tong Yang, Bin Cui:
Multi-copy Cuckoo Hashing. ICDE 2019: 1226-1237 - [c102]Zhipeng Zhang, Jiawei Jiang, Wentao Wu, Ce Zhang, Lele Yu, Bin Cui:
MLlib*: Fast Training of GLMs Using Spark MLlib. ICDE 2019: 1778-1789 - [c101]Long Guo, Lifeng Hua, Rongfei Jia, Binqiang Zhao, Xiaobo Wang, Bin Cui:
Buying or Browsing?: Predicting Real-time Purchasing Intent using Attention-based Deep Network with Multiple Behavior. KDD 2019: 1984-1992 - [c100]Zhipeng Zhang, Bin Cui, Yingxia Shao, Lele Yu, Jiawei Jiang, Xupeng Miao:
PS2: Parameter Server on Spark. SIGMOD Conference 2019: 376-388 - 2018
- [c99]Zichen Wang, Tian Li, Yingxia Shao, Bin Cui:
CUTE: Querying Knowledge Graphs by Tabular Examples. APWeb/WAIM (1) 2018: 461-465 - [c98]Yuanxing Zhang, Kaigui Bian, Hu Tuo, Bin Cui, Lingyang Song, Xiaoming Li:
Geo-Edge: Geographical Resource Allocation on Edge Caches for Video-on-Demand Streaming. BigCom 2018: 189-194 - [c97]Junzhi Gong, Deyu Tian, Dongsheng Yang, Tong Yang, Tuo Dai, Bin Cui, Xiaoming Li:
SSS: An Accurate and Fast Algorithm for Finding Top-k Hot Items in Data Streams. BigComp 2018: 106-113 - [c96]Lun Wang, Zekun Cai, Hao Wang, Jie Jiang, Tong Yang, Bin Cui, Xiaoming Li:
Fine-Grained Probability Counting: Refined LogLog Algorithm. BigComp 2018: 176-183 - [c95]Xiangyang Gou, Chenxingyu Zhao, Tong Yang, Lei Zou, Yang Zhou, Yibo Yan, Xiaoming Li, Bin Cui:
Single Hash: Use One Hash Function to Build Faster Hash Based Data Structures. BigComp 2018: 278-285 - [c94]Lele Yu, Lingyu Wang, Yingxia Shao, Long Guo, Bin Cui:
GLM+: An Efficient System for Generalized Linear Models. BigComp 2018: 293-300 - [c93]Long Guo, Dongxiang Zhang, Lei Wang, Han Wang, Bin Cui:
CRAN: A Hybrid CNN-RNN Attention-Based Model for Text Classification. ER 2018: 571-585 - [c92]Yingxia Shao, Kai Lei, Lei Chen, Zi Huang, Bin Cui, Zhongyi Liu, Yunhai Tong, Jin Xu:
Fast Parallel Path Concatenation for Graph Extraction. ICDE 2018: 1753-1754 - [c91]Yang Zhou, Tong Yang, Jie Jiang, Bin Cui, Minlan Yu, Xiaoming Li, Steve Uhlig:
Cold Filter: A Meta-Framework for Faster and More Accurate Stream Processing. SIGMOD Conference 2018: 741-756 - [c90]Jiawei Jiang, Fangcheng Fu, Tong Yang, Bin Cui:
SketchML: Accelerating Distributed Machine Learning with Data Sketches. SIGMOD Conference 2018: 1269-1284 - [c89]Jiawei Jiang, Bin Cui, Ce Zhang, Fangcheng Fu:
DimBoost: Boosting Gradient Boosting Decision Tree to Higher Dimensions. SIGMOD Conference 2018: 1363-1376 - 2017
- [c88]Jiawei Jiang, Ming Huang, Jie Jiang, Bin Cui:
TeslaML: Steering Machine Learning Automatically in Tencent. APWeb/WAIM (2) 2017: 313-318 - [c87]Junzhi Gong, Tong Yang, Yang Zhou, Dongsheng Yang, Shigang Chen, Bin Cui, Xiaoming Li:
ABC: A practicable sketch framework for non-uniform multisets. IEEE BigData 2017: 2380-2389 - [c86]Jiawei Jiang, Zhipeng Zhang, Bin Cui, Yunhai Tong, Ning Xu:
StroMAX: Partitioning-Based Scheduler for Real-Time Stream Processing System. DASFAA (2) 2017: 269-288 - [c85]Tong Yang, Lingtong Liu, Yibo Yan, Muhammad Shahzad, Yulong Shen, Xiaoming Li, Bin Cui, Gaogang Xie:
SF-sketch: A Fast, Accurate, and Memory Efficient Data Structure to Store Frequencies of Data Items. ICDE 2017: 103-106 - [c84]Long Guo, Dongxiang Zhang, Huayu Wu, Bin Cui, Kian-Lee Tan:
From Raw Footprints to Personal Interests: Bridging the Semantic Gap via Trip Intention Aggregation. ICDE 2017: 123-126 - [c83]Jie Jiang, Jiawei Jiang, Bin Cui, Ce Zhang:
TencentBoost: A Gradient Boosting Tree System with Parameter Server. ICDE 2017: 281-284 - [c82]Jiawei Jiang, Bin Cui, Ce Zhang, Lele Yu:
Heterogeneity-aware Distributed Parameter Servers. SIGMOD Conference 2017: 463-478 - 2016
- [c81]Yao Liu, Zhenhua Duan, Cong Tian, Bin Cui:
Satisfiability of Linear Time Mu-Calculus on Finite Traces. COCOON 2016: 611-622 - [c80]Geng Su, Bin Cui, Xiaochen Wang:
Cross-layer approach to joint transmitter selection for cooperative transmission. ISCIT 2016: 426-430 - [c79]Yanxiang Huang, Bin Cui, Jie Jiang, Kunqian Hong, Wenyu Zhang, Yiran Xie:
Real-time Video Recommendation Exploration. SIGMOD Conference 2016: 35-46 - [c78]Xiaogang Shi, Bin Cui, Yingxia Shao, Yunhai Tong:
Tornado: A System For Real-Time Iterative Analysis Over Evolving Data. SIGMOD Conference 2016: 417-430 - [c77]Hongzhi Yin, Bin Cui, Hua Lu, Lei Zhao:
Expert team finding for review assignment. TAAI 2016 - 2015
- [c76]Yiran Xie, Hongzhi Yin, Bin Cui, Junjie Yao, Quanqing Xu:
Distinguishing re-sharing behaviors from re-creating behaviors in information diffusion. ICDE Workshops 2015: 174-181 - [c75]Jinling Jiang, Hua Lu, Bin Yang, Bin Cui:
Finding top-k local users in geo-tagged social media data. ICDE 2015: 267-278 - [c74]Xiaohua Jiang, Jin Xu, Bin Cui, Yingyu Zeng, Zhongxi Li:
Evaluations and measurements of a high frequency nanocrystalline core transformer for power converters. IECON 2015: 3660-3663 - [c73]Hongzhi Yin, Bin Cui, Zi Huang, Weiqing Wang, Xian Wu, Xiaofang Zhou:
Joint Modeling of Users' Interests and Mobility Patterns for Point-of-Interest Recommendation. ACM Multimedia 2015: 819-822 - [c72]Lele Yu, Yingxia Shao, Bin Cui:
Exploiting Matrix Dependency for Efficient Distributed Matrix Computation. SIGMOD Conference 2015: 93-105 - [c71]Yanxiang Huang, Bin Cui, Wenyu Zhang, Jie Jiang, Ying Xu:
TencentRec: Real-time Stream Recommendation in Practice. SIGMOD Conference 2015: 227-238 - [c70]Zhiting Hu, Junjie Yao, Bin Cui, Eric P. Xing:
Community Level Diffusion Extraction. SIGMOD Conference 2015: 1555-1569 - 2014
- [c69]Zhiting Hu, Junjie Yao, Bin Cui:
User Group Oriented Temporal Dynamics Exploration. AAAI 2014: 66-72 - [c68]Yingxia Shao, Lei Chen, Bin Cui:
Efficient cohesive subgraphs detection in parallel. SIGMOD Conference 2014: 613-624 - [c67]Yingxia Shao, Bin Cui, Lei Chen, Lin Ma, Junjie Yao, Ning Xu:
Parallel subgraph listing in a large-scale graph. SIGMOD Conference 2014: 625-636 - [c66]Xiaogang Shi, Bin Cui, Gillian Dobbie, Beng Chin Ooi:
Towards unified ad-hoc data processing. SIGMOD Conference 2014: 1263-1274 - [c65]Hongzhi Yin, Bin Cui, Ling Chen, Zhiting Hu, Zi Huang:
A temporal context-aware model for user behavior modeling in social media systems. SIGMOD Conference 2014: 1543-1554 - 2013
- [c64]Yanfei Lv, Xuexuan Chen, Guangyu Sun, Bin Cui:
A Probabilistic Data Replacement Strategy for Flash-Based Hybrid Storage System. APWeb 2013: 360-371 - [c63]Yingxia Shao, Junjie Yao, Bin Cui, Lin Ma:
PAGE: a partition aware graph computation engine. CIKM 2013: 823-828 - [c62]Yanfei Lv, Bin Cui, Xuexuan Chen, Jing Li:
Hotness-aware buffer management for flash-based hybrid storage systems. CIKM 2013: 1631-1636 - [c61]Hongzhi Yin, Bin Cui, Hua Lu, Yuxin Huang, Junjie Yao:
A unified model for stable and temporal topic detection from social media data. ICDE 2013: 661-672 - [c60]Hongzhi Yin, Yizhou Sun, Bin Cui, Zhiting Hu, Ling Chen:
LCARS: a location-content-aware recommender system. KDD 2013: 221-229 - [c59]Xiaogang Shi, Yanfei Lv, Yingxia Shao, Bin Cui:
bCATE: A Balanced Contention-Aware Transaction Execution Model for Highly Concurrent OLTP Systems. WAIM 2013: 769-780 - [c58]Xiang Wang, Lele Yu, Junjie Yao, Bin Cui:
A Multiple Feature Integration Model to Infer Occupation from Social Media Records. WISE (2) 2013: 137-150 - 2012
- [c57]Yueguo Chen, Bin Cui, Xiaoyong Du, Anthony K. H. Tung:
Efficient approximation of the maximal preference scores by lightweight cubic views. EDBT 2012: 240-251 - [c56]Junjie Yao, Bin Cui, Zijun Xue, Qingyun Liu:
Provenance-based Indexing Support in Micro-blog Platforms. ICDE 2012: 558-569 - [c55]Junjie Yao, Bin Cui, Liansheng Hua, Yuxin Huang:
Keyword Query Reformulation on Structured Data. ICDE 2012: 953-964 - [c54]Zijun Xue, Junjie Yao, Bin Cui:
Temporal provenance discovery in micro-blog message streams (abstract only). SIGMOD Conference 2012: 864 - 2011
- [c53]Hongzhi Yin, Bin Cui, Yuxin Huang:
Finding a Wise Group of Experts in Social Networks. ADMA (1) 2011: 381-394 - [c52]Junjie Yao, Bin Cui, Qiaosha Han, Ce Zhang, Yanhong Zhou:
Modeling User Expertise in Folksonomies by Fusing Multi-type Features. DASFAA (1) 2011: 53-67 - [c51]Yanfei Lv, Jing Li, Bin Cui, Xuexuan Chen:
Log-Compact R-Tree: An Efficient Spatial Index for SSD. DASFAA Workshops 2011: 202-213 - [c50]Yanfei Lv, Bin Cui, Bingsheng He, Xuexuan Chen:
Operation-aware buffer management in flash-based systems. SIGMOD Conference 2011: 13-24 - 2010
- [c49]Junjie Yao, Bin Cui, Yuxin Huang, Xin Jin:
Temporal and Social Context Based Burst Detection from Folksonomies. AAAI 2010: 1474-1479 - [c48]Lijiang Chen, Bin Cui, Linhao Xu, Heng Tao Shen:
Distributed Cache Indexing for Efficient Subspace Skyline Computation in P2P Networks. DASFAA (1) 2010: 3-18 - [c47]Bin Cui, Jiakui Zhao, Gao Cong:
ISIS: A New Approach for Efficient Similarity Search in Sparse Databases. DASFAA (2) 2010: 231-245 - [c46]Junjie Yao, Bin Cui, Yuxin Huang, Yanhong Zhou:
Detecting bursty events in collaborative tagging systems. ICDE 2010: 780-783 - [c45]Zhe Zhao, Bin Cui, Wee Hyong Tok, Jiakui Zhao:
Efficient similarity matching of Time Series Cliques with natural relations. ICDE 2010: 908-911 - [c44]Bin Cui, Ce Zhang, Gao Cong:
Content-enriched classifier for web video classification. SIGIR 2010: 619-626 - [c43]Bin Cui, Anthony K. H. Tung, Ce Zhang, Zhe Zhao:
Multiple feature fusion for social media applications. SIGMOD Conference 2010: 435-446 - [c42]Yanfei Lv, Xuexuan Chen, Bin Cui:
ACAR: An Adaptive Cost Aware Cache Replacement Approach for Flash Memory. WAIM 2010: 558-569 - [c41]Bin Cui, Junjie Yao, Gao Cong, Yuxin Huang:
Evolutionary Taxonomy Construction from Dynamic Tag Space. WISE 2010: 105-119 - [c40]Xin Cao, Gao Cong, Bin Cui, Christian S. Jensen:
A generalized framework of exploring category information for question retrieval in community question answer archives. WWW 2010: 201-210 - 2009
- [c39]Xin Cao, Gao Cong, Bin Cui, Christian S. Jensen, Ce Zhang:
The use of categorization information in language models for question retrieval. CIKM 2009: 265-274 - [c38]Lijiang Chen, Bin Cui, Heng Tao Shen, Wei Lu, Xiaofang Zhou:
Efficient information retrieval in mobile peer-to-peer networks. CIKM 2009: 967-976 - [c37]Junjie Yao, Yuxin Huang, Bin Cui:
Constructing evolutionary taxonomy of collaborative tagging systems. CIKM 2009: 2085-2086 - [c36]Ce Zhang, Bin Cui, Gao Cong, Yu-Jing Wang:
A Revisit of Query Expansion with Different Semantic Levels. DASFAA 2009: 662-676 - [c35]Bin Cui, Bei Pan, Heng Tao Shen, Ying Wang, Ce Zhang:
Video Annotation System Based on Categorizing and Keyword Labelling. DASFAA 2009: 764-767 - [c34]Quanqing Xu, Heng Tao Shen, Zaiben Chen, Bin Cui, Xiaofang Zhou, Yafei Dai:
Hybrid Retrieval Mechanisms in Vehicle-Based P2P Networks. ICCS (1) 2009: 303-314 - [c33]Yanhong Zhou, Gao Cong, Bin Cui, Christian S. Jensen, Junjie Yao:
Routing Questions to the Right Users in Online Communities. ICDE 2009: 700-711 - [c32]Quanqing Xu, Heng Tao Shen, Bin Cui, Xiaoxiao Hou, Yafei Dai:
A Novel Content Distribution Mechanism in DHT Networks. Networking 2009: 742-755 - 2008
- [c31]Guojie Song, Bin Cui, Baihua Zheng, Kunqing Xie, Dongqing Yang:
Squeezing Long Sequence Data for Efficient Similarity Search. APWeb 2008: 438-449 - [c30]Yang Lu, Jiakui Zhao, Lijun Chen, Bin Cui, Dongqing Yang:
Effective Skyline Cardinality Estimation on Data Streams. DEXA 2008: 241-254 - [c29]Bin Cui, H. V. Jagadish, Beng Chin Ooi, Kian-Lee Tan:
Compacting music signatures for efficient music retrieval. EDBT 2008: 229-240 - [c28]Lijiang Chen, Bin Cui, Hua Lu, Linhao Xu, Quanqing Xu:
iSky: Efficient and Progressive Skyline Computing in a Structured P2P Network. ICDCS 2008: 160-167 - [c27]Bin Cui, Hua Lu, Quanqing Xu, Lijiang Chen, Yafei Dai, Yongluan Zhou:
Parallel Distributed Processing of Constrained Skyline Queries by Filtering. ICDE 2008: 546-555 - [c26]Yang Lu, Bin Cui, Jiakui Zhao, Hua Lu, Jialie Shen:
Towards Efficient and Flexible KNN Query Processing in Real-Life Road Networks. WAIM 2008: 230-237 - [c25]Quanqing Xu, Heng Tao Shen, Yafei Dai, Bin Cui, Xiaofang Zhou:
Achieving Effective Multi-term Queries for Fast DHT Information Retrieval. WISE 2008: 20-35 - [c24]Ce Zhang, Yu-Jing Wang, Bin Cui, Gao Cong:
Semantic similarity based on compact concept ontology. WWW 2008: 1125-1126 - 2007
- [c23]Dan Lin, Bin Cui, Dongqing Yang:
Optimizing Moving Queries over Moving Object Data Streams. DASFAA 2007: 563-575 - [c22]Jiakui Zhao, Dongqing Yang, Bin Cui, Lijun Chen, Jun Gao:
Evaluating MAX and MIN over Sliding Windows with Various Size Using the Exemplary Sketch. DASFAA 2007: 652-663 - [c21]Guojie Song, Dongqing Yang, Bin Cui, Baihua Zheng, Yunfeng Liu, Kunqing Xie:
CLAIM: An Efficient Method for Relaxed Frequent Closed Itemsets Mining over Stream Data. DASFAA 2007: 664-675 - [c20]Guojie Song, Dongqing Yang, Yunfeng Liu, Bin Cui, Ling Wu, Kunqing Xie:
An Optimized Process Neural Network Model. DASFAA 2007: 898-904 - [c19]Bin Cui, Ling Liu, Calton Pu, Jialie Shen, Kian-Lee Tan:
QueST: querying music databases by acoustic and textual features. ACM Multimedia 2007: 1055-1064 - [c18]Lv-an Tang, Bin Cui, Hongyan Li, Gaoshan Miao, Dongqing Yang, Xinbiao Zhou:
Effective variation management for pseudo periodical streams. SIGMOD Conference 2007: 257-268 - [c17]Bin Cui, Weining Qian, Linhao Xu, Aoying Zhou:
LINP: Supporting Similarity Search in Unstructured Peer-to-Peer Networks. APWeb/WAIM 2007: 127-135 - 2006
- [c16]Lidan Shou, Bin Cui, Gang Chen, Jinxiang Dong:
A Web-based Framework For On-line Collaborative Learning. CSCWD 2006: 1387-1392 - [c15]Gao Cong, Bin Cui, Yingxin Li, Zonghong Zhang:
Summarizing Frequent Patterns Using Profiles. DASFAA 2006: 171-186 - [c14]Jialie Shen, John Shepherd, Bin Cui, Kian-Lee Tan:
HSI: A Novel Framework for Efficient Automated Singer Identification in Large Music Database. ICDE 2006: 169 - [c13]Weixing Wang, Bin Cui:
A new image segmentation algorithm based on kernel spatial fuzzy c-means (FCM). ICDM (Workshops) 2006: 138-147 - [c12]Bin Cui, Jialie Shen, Gao Cong, Heng Tao Shen, Cui Yu:
Exploring composite acoustic features for efficient music similarity query. ACM Multimedia 2006: 412-420 - [c11]Jialie Shen, Bin Cui, John Shepherd, Kian-Lee Tan:
Towards efficient automated singer identification in large music databases. SIGIR 2006: 59-66 - [c10]Lidan Shou, Bin Cui, Gang Chen, Jinxiang Dong:
Classifying E-Mails Via Support Vector Machine. WAIM 2006: 422-434 - 2005
- [c9]Bin Cui, Heng Tao Shen, Jialie Shen, Kian-Lee Tan:
Exploring Bit-Difference for Approximate KNN Search in High-dimensional Databases. ADC 2005: 165-174 - [c8]Heng Tao Shen, Xiaofang Zhou, Bin Cui:
Indexing Text and Visual Features for WWW Images. APWeb 2005: 885-899 - [c7]Bin Cui, Dan Lin, Kian-Lee Tan:
Towards Optimal Utilization of Main Memory for Moving Object Indexing. DASFAA 2005: 600-611 - [c6]Bin Cui, Anirban Mondal, Jialie Shen, Gao Cong, Kian-Lee Tan:
On Effective E-mail Classification via Neural Networks. DEXA 2005: 85-94 - 2004
- [c5]Jing Hu, Bin Cui, Heng Tao Shen:
Diagonal Ordering: A New Approach to High-Dimensional KNN Processing. ADC 2004: 39-47 - [c4]Bin Cui, Jing Hu, Heng Tao Shen, Cui Yu:
Adaptive Quantization of the High-Dimensional Data for Efficient KNN Processing. DASFAA 2004: 302-313 - 2003
- [c3]Bin Cui, Beng Chin Ooi, Jianwen Su, Kian-Lee Tan:
Contorting High Dimensional Data for Efficient Main Memory Processing. SIGMOD Conference 2003: 479-490 - [c2]Mong-Li Lee, Wynne Hsu, Christian S. Jensen, Bin Cui, Keng Lik Teo:
Supporting Frequent Updates in R-Trees: A Bottom-Up Approach. VLDB 2003: 608-619 - 2001
- [c1]Zhong Wei Luo, Tok Wang Ling, Chuan-Heng Ang, Sin Yeung Lee, Bin Cui:
Range Top/Bottom k Queries in OLAP Sparse Data Cubes. DEXA 2001: 678-687
Editorship
- 2020
- [e8]Yunmook Nah, Bin Cui, Sang-Won Lee, Jeffrey Xu Yu, Yang-Sae Moon, Steven Euijong Whang:
Database Systems for Advanced Applications - 25th International Conference, DASFAA 2020, Jeju, South Korea, September 24-27, 2020, Proceedings, Part I. Lecture Notes in Computer Science 12112, Springer 2020, ISBN 978-3-030-59409-1 [contents] - [e7]Yunmook Nah, Bin Cui, Sang-Won Lee, Jeffrey Xu Yu, Yang-Sae Moon, Steven Euijong Whang:
Database Systems for Advanced Applications - 25th International Conference, DASFAA 2020, Jeju, South Korea, September 24-27, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12113, Springer 2020, ISBN 978-3-030-59415-2 [contents] - [e6]Yunmook Nah, Bin Cui, Sang-Won Lee, Jeffrey Xu Yu, Yang-Sae Moon, Steven Euijong Whang:
Database Systems for Advanced Applications - 25th International Conference, DASFAA 2020, Jeju, South Korea, September 24-27, 2020, Proceedings, Part III. Lecture Notes in Computer Science 12114, Springer 2020, ISBN 978-3-030-59418-3 [contents] - 2019
- [e5]Jie Shao, Man Lung Yiu, Masashi Toyoda, Dongxiang Zhang, Wei Wang, Bin Cui:
Web and Big Data - Third International Joint Conference, APWeb-WAIM 2019, Chengdu, China, August 1-3, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11641, Springer 2019, ISBN 978-3-030-26071-2 [contents] - [e4]Jie Shao, Man Lung Yiu, Masashi Toyoda, Dongxiang Zhang, Wei Wang, Bin Cui:
Web and Big Data - Third International Joint Conference, APWeb-WAIM 2019, Chengdu, China, August 1-3, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11642, Springer 2019, ISBN 978-3-030-26074-3 [contents] - 2016
- [e3]Bin Cui, Nan Zhang, Jianliang Xu, Xiang Lian, Dexi Liu:
Web-Age Information Management - 17th International Conference, WAIM 2016, Nanchang, China, June 3-5, 2016, Proceedings, Part I. Lecture Notes in Computer Science 9658, Springer 2016, ISBN 978-3-319-39936-2 [contents] - [e2]Bin Cui, Nan Zhang, Jianliang Xu, Xiang Lian, Dexi Liu:
Web-Age Information Management - 17th International Conference, WAIM 2016, Nanchang, China, June 3-5, 2016, Proceedings, Part II. Lecture Notes in Computer Science 9659, Springer 2016, ISBN 978-3-319-39957-7 [contents] - 2015
- [e1]Reynold Cheng, Bin Cui, Zhenjie Zhang, Ruichu Cai, Jia Xu:
Web Technologies and Applications - 17th Asia-PacificWeb Conference, APWeb 2015, Guangzhou, China, September 18-20, 2015, Proceedings. Lecture Notes in Computer Science 9313, Springer 2015, ISBN 978-3-319-25254-4 [contents]
Reference Works
- 2018
- [r1]Hongzhi Yin, Bin Cui, Xiaofang Zhou:
Spatiotemporal Recommendation in Geo-Social Networks. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018
Informal and Other Publications
- 2024
- [i109]Ling Yang, Jingwei Liu, Shenda Hong, Zhilong Zhang, Zhilin Huang, Zheming Cai, Wentao Zhang, Bin Cui:
Improving Diffusion-Based Image Synthesis with Context Prediction. CoRR abs/2401.02015 (2024) - [i108]Ling Yang, Zhaochen Yu, Chenlin Meng, Minkai Xu, Stefano Ermon, Bin Cui:
Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs. CoRR abs/2401.11708 (2024) - [i107]Xinchen Zhang, Ling Yang, Yaqi Cai, Zhaochen Yu, Jiake Xie, Ye Tian, Minkai Xu, Yong Tang, Yujiu Yang, Bin Cui:
RealCompo: Dynamic Equilibrium between Realism and Compositionality Improves Text-to-Image Diffusion Models. CoRR abs/2402.12908 (2024) - [i106]Ling Yang, Zhilong Zhang, Zhaochen Yu, Jingwei Liu, Minkai Xu, Stefano Ermon, Bin Cui:
Cross-Modal Contextualized Diffusion Models for Text-Guided Visual Generation and Editing. CoRR abs/2402.16627 (2024) - [i105]Ling Yang, Haotian Qian, Zhilong Zhang, Jingwei Liu, Bin Cui:
Structure-Guided Adversarial Training of Diffusion Models. CoRR abs/2402.17563 (2024) - [i104]Penghao Zhao, Hailin Zhang, Qinhan Yu, Zhengren Wang, Yunteng Geng, Fangcheng Fu, Ling Yang, Wentao Zhang, Bin Cui:
Retrieval-Augmented Generation for AI-Generated Content: A Survey. CoRR abs/2402.19473 (2024) - [i103]Ziqi Yin, Shanshan Feng, Shang Liu, Gao Cong, Yew Soon Ong, Bin Cui:
LIST: Learning to Index Spatio-Textual Data for Embedding based Spatial Keyword Queries. CoRR abs/2403.07331 (2024) - [i102]Bin Xiao, Chunan Shi, Xiaonan Nie, Fan Yang, Xiangwei Deng, Lei Su, Weipeng Chen, Bin Cui:
Clover: Regressive Lightweight Speculative Decoding with Sequential Knowledge. CoRR abs/2405.00263 (2024) - [i101]Lu Ma, Zeang Sheng, Xunkai Li, Xinyi Gao, Zhezheng Hao, Ling Yang, Wentao Zhang, Bin Cui:
Acceleration Algorithms in GNNs: A Survey. CoRR abs/2405.04114 (2024) - [i100]Shuaipeng Li, Penghao Zhao, Hailin Zhang, Xingwu Sun, Hao Wu, Dian Jiao, Weiyan Wang, Chengjun Liu, Zheng Fang, Jinbao Xue, Yangyu Tao, Bin Cui, Di Wang:
Surge Phenomenon in Optimal Learning Rate and Batch Size Scaling. CoRR abs/2405.14578 (2024) - [i99]Zhuochen Fan, Yalun Cai, Zirui Liu, Jiarui Guo, Xin Fan, Tong Yang, Bin Cui:
CuckooGraph: A Scalable and Space-Time Efficient Data Structure for Large-Scale Dynamic Graphs. CoRR abs/2405.15193 (2024) - [i98]Tianyi Bai, Hao Liang, Binwang Wan, Ling Yang, Bozhou Li, Yifan Wang, Bin Cui, Conghui He, Binhang Yuan, Wentao Zhang:
A Survey of Multimodal Large Language Model from A Data-centric Perspective. CoRR abs/2405.16640 (2024) - [i97]Ling Yang, Zhaochen Yu, Tianjun Zhang, Shiyi Cao, Minkai Xu, Wentao Zhang, Joseph E. Gonzalez, Bin Cui:
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models. CoRR abs/2406.04271 (2024) - [i96]Ye Tian, Ling Yang, Haotian Yang, Yuan Gao, Yufan Deng, Jingmin Chen, Xintao Wang, Zhaochen Yu, Xin Tao, Pengfei Wan, Di Zhang, Bin Cui:
VideoTetris: Towards Compositional Text-to-Video Generation. CoRR abs/2406.04277 (2024) - [i95]Xinyi Gao, Hongzhi Yin, Tong Chen, Guanhua Ye, Wentao Zhang, Bin Cui:
RobGC: Towards Robust Graph Condensation. CoRR abs/2406.13200 (2024) - [i94]Linzhuang Sun, Hao Liang, Jingxuan Wei, Linkun Sun, Bihui Yu, Bin Cui, Wentao Zhang:
Efficient-Empathy: Towards Efficient and Effective Selection of Empathy Data. CoRR abs/2407.01937 (2024) - [i93]Ling Yang, Zixiang Zhang, Zhilong Zhang, Xingchao Liu, Minkai Xu, Wentao Zhang, Chenlin Meng, Stefano Ermon, Bin Cui:
Consistency Flow Matching: Defining Straight Flows with Velocity Consistency. CoRR abs/2407.02398 (2024) - [i92]Hao Liang, Jiapeng Li, Tianyi Bai, Xijie Huang, Linzhuang Sun, Zhengren Wang, Conghui He, Bin Cui, Chong Chen, Wentao Zhang:
KeyVideoLLM: Towards Large-scale Video Keyframe Selection. CoRR abs/2407.03104 (2024) - [i91]Miao Zheng, Hao Liang, Fan Yang, Haoze Sun, Tianpeng Li, Lingchu Xiong, Yan Zhang, Youzhen Wu, Kun Li, Yanjun Shen, Mingan Lin, Tao Zhang, Guosheng Dong, Yujing Qiao, Kun Fang, Weipeng Chen, Bin Cui, Wentao Zhang, Zenan Zhou:
PAS: Data-Efficient Plug-and-Play Prompt Augmentation System. CoRR abs/2407.06027 (2024) - [i90]Pinxue Zhao, Hailin Zhang, Fangcheng Fu, Xiaonan Nie, Qibin Liu, Fang Yang, Yuanbo Peng, Dian Jiao, Shuaipeng Li, Jinbao Xue, Yangyu Tao, Bin Cui:
Efficiently Training 7B LLM with 1 Million Sequence Length on 8 GPUs. CoRR abs/2407.12117 (2024) - [i89]Hailin Zhang, Xiaodong Ji, Yilin Chen, Fangcheng Fu, Xupeng Miao, Xiaonan Nie, Weipeng Chen, Bin Cui:
PQCache: Product Quantization-based KVCache for Long Context LLM Inference. CoRR abs/2407.12820 (2024) - [i88]Zheng Liu, Hao Liang, Xijie Huang, Wentao Xiong, Qinhan Yu, Linzhuang Sun, Chong Chen, Conghui He, Bin Cui, Wentao Zhang:
SynthVLM: High-Efficiency and High-Quality Synthetic Data for Vision Language Models. CoRR abs/2407.20756 (2024) - [i87]Tao Zhang, Yanjun Shen, Wenjing Luo, Yan Zhang, Hao Liang, Tao Zhang, Fan Yang, Mingan Lin, Yujing Qiao, Weipeng Chen, Bin Cui, Wentao Zhang, Zenan Zhou:
CFBench: A Comprehensive Constraints-Following Benchmark for LLMs. CoRR abs/2408.01122 (2024) - [i86]Minxuan Zhou, Hao Liang, Tianpeng Li, Zhiyu Wu, Mingan Lin, Linzhuang Sun, Yaqi Zhou, Yan Zhang, Xiaoqin Huang, Yicong Chen, Yujing Qiao, Weipeng Chen, Bin Cui, Wentao Zhang, Zenan Zhou:
MathScape: Evaluating MLLMs in multimodal Math Scenarios through a Hierarchical Benchmark. CoRR abs/2408.07543 (2024) - [i85]Yanzhao Qin, Tao Zhang, Tao Zhang, Yanjun Shen, Wenjing Luo, Haoze Sun, Yan Zhang, Yujing Qiao, Weipeng Chen, Zenan Zhou, Wentao Zhang, Bin Cui:
SysBench: Can Large Language Models Follow System Messages? CoRR abs/2408.10943 (2024) - [i84]Keer Lu, Zheng Liang, Xiaonan Nie, Da Pan, Shusen Zhang, Keshi Zhao, Weipeng Chen, Zenan Zhou, Guosheng Dong, Wentao Zhang, Bin Cui:
DataSculpt: Crafting Data Landscapes for LLM Post-Training through Multi-objective Partitioning. CoRR abs/2409.00997 (2024) - [i83]Ran Yan, Youhe Jiang, Wangcheng Tao, Xiaonan Nie, Bin Cui, Binhang Yuan:
FlashFlex: Accommodating Large Language Model Training over Heterogeneous Environment. CoRR abs/2409.01143 (2024) - [i82]Yujie Wang, Shenhan Zhu, Fangcheng Fu, Xupeng Miao, Jie Zhang, Juan Zhu, Fan Hong, Yong Li, Bin Cui:
Efficient Multi-Task Large Model Training via Data Heterogeneity-aware Model Management. CoRR abs/2409.03365 (2024) - [i81]Peichao Lai, Zhengfeng Zhang, Bin Cui:
Knowledge-Based Domain-Oriented Data Augmentation for Enhancing Unsupervised Sentence Embedding. CoRR abs/2409.12887 (2024) - [i80]Hao Liang, Keshi Zhao, Yajie Yang, Bin Cui, Guosheng Dong, Zenan Zhou, Wentao Zhang:
Data Proportion Detection for Optimized Data Management for Large Language Models. CoRR abs/2409.17527 (2024) - [i79]Kaini Wang, Ling Yang, Siping Zhou, Guangquan Zhou, Wen-Bo Zhang, Bin Cui, Shuo Li:
Universal Medical Image Representation Learning with Compositional Decoders. CoRR abs/2409.19890 (2024) - [i78]Xinchen Zhang, Ling Yang, Guohao Li, Yaqi Cai, Jiake Xie, Yong Tang, Yujiu Yang, Mengdi Wang, Bin Cui:
IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation. CoRR abs/2410.07171 (2024) - 2023
- [i77]Yu Shen, Yupeng Lu, Yang Li, Yaofeng Tu, Wentao Zhang, Bin Cui:
DivBO: Diversity-aware CASH for Ensemble Learning. CoRR abs/2302.03255 (2023) - [i76]Yu Shen, Xinyuyang Ren, Yupeng Lu, Huaijun Jiang, Huanyong Xu, Di Peng, Yang Li, Wentao Zhang, Bin Cui:
Rover: An online Spark SQL tuning service via generalized transfer learning. CoRR abs/2302.04046 (2023) - [i75]Tianyi Bai, Yang Li, Yu Shen, Xinyi Zhang, Wentao Zhang, Bin Cui:
Transfer Learning for Bayesian Optimization: A Survey. CoRR abs/2302.05927 (2023) - [i74]Xiaonan Nie, Yi Liu, Fangcheng Fu, Jinbao Xue, Dian Jiao, Xupeng Miao, Yangyu Tao, Bin Cui:
Angel-PTM: A Scalable and Economical Large-scale Pre-training System in Tencent. CoRR abs/2303.02868 (2023) - [i73]Xinyi Zhang, Zhuo Chang, Hong Wu, Yang Li, Jia Chen, Jian Tan, Feifei Li, Bin Cui:
A Unified and Efficient Coordinating Framework for Autonomous DBMS Tuning. CoRR abs/2303.05710 (2023) - [i72]Xiaonan Nie, Xupeng Miao, Zilong Wang, Zichao Yang, Jilong Xue, Lingxiao Ma, Gang Cao, Bin Cui:
FlexMoE: Scaling Large-scale Sparse Pre-trained Model Training via Dynamic Device Placement. CoRR abs/2304.03946 (2023) - [i71]Huaijun Jiang, Yu Shen, Yang Li, Wentao Zhang, Ce Zhang, Bin Cui:
OpenBox: A Python Toolkit for Generalized Black-box Optimization. CoRR abs/2304.13339 (2023) - [i70]Zihao Yu, Haoyang Li, Fangcheng Fu, Xupeng Miao, Bin Cui:
FISEdit: Accelerating Text-to-image Editing via Cache-enabled Sparse Diffusion Inference. CoRR abs/2305.17423 (2023) - [i69]Ling Yang, Jiayi Zheng, Heyuan Wang, Zhongyi Liu, Zhilin Huang, Shenda Hong, Wentao Zhang, Bin Cui:
Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization. CoRR abs/2306.15902 (2023) - [i68]Yujie Wang, Youhe Jiang, Xupeng Miao, Fangcheng Fu, Xiaonan Nie, Bin Cui:
Improving Automatic Parallel Training via Balanced Memory Workload Optimization. CoRR abs/2307.02031 (2023) - [i67]Jie Liu, Mengting He, Xuequn Shang, Jieming Shi, Bin Cui, Hongzhi Yin:
BOURNE: Bootstrapped Self-supervised Learning Framework for Unified Graph Anomaly Detection. CoRR abs/2307.15244 (2023) - [i66]Ling Yang, Ye Tian, Minkai Xu, Zhongyi Liu, Shenda Hong, Wei Qu, Wentao Zhang, Bin Cui, Muhan Zhang, Jure Leskovec:
VQGraph: Graph Vector-Quantization for Bridging GNNs and MLPs. CoRR abs/2308.02117 (2023) - [i65]Tianmeng Yang, Min Zhou, Yujing Wang, Zhengjie Lin, Lujia Pan, Bin Cui, Yunhai Tong:
Mitigating Semantic Confusion from Hostile Neighborhood for Graph Active Learning. CoRR abs/2308.08823 (2023) - [i64]Yang Li, Huaijun Jiang, Yu Shen, Yide Fang, Xiaofeng Yang, Danqing Huang, Xinyi Zhang, Wentao Zhang, Ce Zhang, Peng Chen, Bin Cui:
Towards General and Efficient Online Tuning for Spark. CoRR abs/2309.01901 (2023) - [i63]Jinqing Lian, Xinyi Zhang, Yingxia Shao, Zenglin Pu, Qingfeng Xiang, Yawen Li, Bin Cui:
ContTune: Continuous Tuning by Conservative Bayesian Optimization for Distributed Stream Data Processing Systems. CoRR abs/2309.12239 (2023) - [i62]Hailin Zhang, Yujing Wang, Qi Chen, Ruiheng Chang, Ting Zhang, Ziming Miao, Yingyan Hou, Yang Ding, Xupeng Miao, Haonan Wang, Bochen Pang, Yuefeng Zhan, Hao Sun, Weiwei Deng, Qi Zhang, Fan Yang, Xing Xie, Mao Yang, Bin Cui:
Model-enhanced Vector Index. CoRR abs/2309.13335 (2023) - [i61]Xinyi Gao, Wentao Zhang, Junliang Yu, Yingxia Shao, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin:
Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation. CoRR abs/2310.10998 (2023) - [i60]Xupeng Miao, Chunan Shi, Jiangfei Duan, Xiaoli Xi, Dahua Lin, Bin Cui, Zhihao Jia:
SpotServe: Serving Generative Large Language Models on Preemptible Instances. CoRR abs/2311.15566 (2023) - [i59]Hailin Zhang, Penghao Zhao, Xupeng Miao, Yingxia Shao, Zirui Liu, Tong Yang, Bin Cui:
Experimental Analysis of Large-scale Learnable Vector Storage Compression. CoRR abs/2311.15578 (2023) - [i58]Zongwei Wang, Junliang Yu, Min Gao, Hongzhi Yin, Bin Cui, Shazia W. Sadiq:
Poisoning Attacks Against Contrastive Recommender Systems. CoRR abs/2311.18244 (2023) - [i57]Hailin Zhang, Zirui Liu, Boxuan Chen, Yikai Zhao, Tong Zhao, Tong Yang, Bin Cui:
CAFE: Towards Compact, Adaptive, and Fast Embedding for Large-scale Recommendation Models. CoRR abs/2312.03256 (2023) - [i56]Hongzhi Yin, Tong Chen, Liang Qu, Bin Cui:
On-Device Recommender Systems: A Tutorial on The New-Generation Recommendation Paradigm. CoRR abs/2312.10864 (2023) - 2022
- [i55]Yang Li, Yu Shen, Huaijun Jiang, Wentao Zhang, Jixiang Li, Ji Liu, Ce Zhang, Bin Cui:
Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale. CoRR abs/2201.06834 (2022) - [i54]Wentao Zhang, Yu Shen, Zheyu Lin, Yang Li, Xiaosen Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui:
PaSca: a Graph Neural Architecture Search System under the Scalable Paradigm. CoRR abs/2203.00638 (2022) - [i53]Wentao Zhang, Yexin Wang, Zhenbang You, Meng Cao, Ping Huang, Jiulong Shan, Zhi Yang, Bin Cui:
Information Gain Propagation: a new way to Graph Active Learning with Soft Labels. CoRR abs/2203.01093 (2022) - [i52]Yuezihan Jiang, Yu Cheng, Hanyu Zhao, Wentao Zhang, Xupeng Miao, Yu He, Liang Wang, Zhi Yang, Bin Cui:
ZOOMER: Boosting Retrieval on Web-scale Graphs by Regions of Interest. CoRR abs/2203.12596 (2022) - [i51]Ruiqi Zheng, Liang Qu, Bin Cui, Yuhui Shi, Hongzhi Yin:
AutoML for Deep Recommender Systems: A Survey. CoRR abs/2203.13922 (2022) - [i50]Xinyi Zhang, Hong Wu, Yang Li, Jian Tan, Feifei Li, Bin Cui:
Towards Dynamic and Safe Configuration Tuning for Cloud Databases. CoRR abs/2203.14473 (2022) - [i49]Xiaonan Nie, Pinxue Zhao, Xupeng Miao, Tong Zhao, Bin Cui:
HetuMoE: An Efficient Trillion-scale Mixture-of-Expert Distributed Training System. CoRR abs/2203.14685 (2022) - [i48]Hongzheng Li, Yingxia Shao, Junping Du, Bin Cui, Lei Chen:
An I/O-Efficient Disk-based Graph System for Scalable Second-Order Random Walk of Large Graphs. CoRR abs/2203.16123 (2022) - [i47]Yuezihan Jiang, Hao Yang, Junyang Lin, Hanyu Zhao, An Yang, Chang Zhou, Hongxia Yang, Zhi Yang, Bin Cui:
Instance-wise Prompt Tuning for Pretrained Language Models. CoRR abs/2206.01958 (2022) - [i46]Yang Li, Yu Shen, Huaijun Jiang, Tianyi Bai, Wentao Zhang, Ce Zhang, Bin Cui:
Transfer Learning based Search Space Design for Hyperparameter Tuning. CoRR abs/2206.02511 (2022) - [i45]Yang Li, Yu Shen, Huaijun Jiang, Wentao Zhang, Zhi Yang, Ce Zhang, Bin Cui:
TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning. CoRR abs/2206.02663 (2022) - [i44]Wentao Zhang, Ziqi Yin, Zeang Sheng, Yang Li, Wen Ouyang, Xiaosen Li, Yangyu Tao, Zhi Yang, Bin Cui:
Graph Attention Multi-Layer Perceptron. CoRR abs/2206.04355 (2022) - [i43]Wentao Zhang, Zeang Sheng, Ziqi Yin, Yuezihan Jiang, Yikuan Xia, Jun Gao, Zhi Yang, Bin Cui:
Model Degradation Hinders Deep Graph Neural Networks. CoRR abs/2206.04361 (2022) - [i42]Fangcheng Fu, Huanran Xue, Yong Cheng, Yangyu Tao, Bin Cui:
BlindFL: Vertical Federated Machine Learning without Peeking into Your Data. CoRR abs/2206.07975 (2022) - [i41]Wentao Zhang, Zheyu Lin, Yu Shen, Yang Li, Zhi Yang, Bin Cui:
DFG-NAS: Deep and Flexible Graph Neural Architecture Search. CoRR abs/2206.08582 (2022) - [i40]Wentao Zhang, Zeang Sheng, Mingyu Yang, Yang Li, Yu Shen, Zhi Yang, Bin Cui:
NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning. CoRR abs/2206.08583 (2022) - [i39]Yang Li, Yu Shen, Wentao Zhang, Ce Zhang, Bin Cui:
Efficient End-to-End AutoML via Scalable Search Space Decomposition. CoRR abs/2206.09423 (2022) - [i38]Fangcheng Fu, Xupeng Miao, Jiawei Jiang, Huanran Xue, Bin Cui:
Towards Communication-efficient Vertical Federated Learning Training via Cache-enabled Local Updates. CoRR abs/2207.14628 (2022) - [i37]Ling Yang, Zhilong Zhang, Yang Song, Shenda Hong, Runsheng Xu, Yue Zhao, Yingxia Shao, Wentao Zhang, Ming-Hsuan Yang, Bin Cui:
Diffusion Models: A Comprehensive Survey of Methods and Applications. CoRR abs/2209.00796 (2022) - [i36]Youhe Jiang, Xupeng Miao, Xiaonan Nie, Bin Cui:
OSDP: Optimal Sharded Data Parallel for Distributed Deep Learning. CoRR abs/2209.13258 (2022) - [i35]Ziyu Guo, Renrui Zhang, Longtian Qiu, Xianzheng Ma, Xupeng Miao, Xuming He, Bin Cui:
CALIP: Zero-Shot Enhancement of CLIP with Parameter-free Attention. CoRR abs/2209.14169 (2022) - [i34]Yingxia Shao, Hongzheng Li, Xizhi Gu, Hongbo Yin, Yawen Li, Xupeng Miao, Wentao Zhang, Bin Cui, Lei Chen:
Distributed Graph Neural Network Training: A Survey. CoRR abs/2211.00216 (2022) - [i33]Xinyi Gao, Wentao Zhang, Yingxia Shao, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin:
Efficient Graph Neural Network Inference at Large Scale. CoRR abs/2211.00495 (2022) - [i32]Ling Yang, Zhilin Huang, Yang Song, Shenda Hong, Guohao Li, Wentao Zhang, Bin Cui, Bernard Ghanem, Ming-Hsuan Yang:
Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-Training. CoRR abs/2211.11138 (2022) - [i31]Xupeng Miao, Yujie Wang, Youhe Jiang, Chunan Shi, Xiaonan Nie, Hailin Zhang, Bin Cui:
Galvatron: Efficient Transformer Training over Multiple GPUs Using Automatic Parallelism. CoRR abs/2211.13878 (2022) - 2021
- [i30]Xu Xie, Fei Sun, Xiaoyong Yang, Zhao Yang, Jinyang Gao, Wenwu Ou, Bin Cui:
Explore User Neighborhood for Real-time E-commerce Recommendation. CoRR abs/2103.00442 (2021) - [i29]Wentao Zhang, Yu Shen, Zheyu Lin, Yang Li, Xiaosen Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui:
GMLP: Building Scalable and Flexible Graph Neural Networks with Feature-Message Passing. CoRR abs/2104.09880 (2021) - [i28]Xu Xie, Zhaoyang Liu, Shiwen Wu, Fei Sun, Cihang Liu, Jiawei Chen, Jinyang Gao, Bin Cui, Bolin Ding:
CausCF: Causal Collaborative Filtering for RecommendationEffect Estimation. CoRR abs/2105.13881 (2021) - [i27]Yang Li, Yu Shen, Wentao Zhang, Yuanwei Chen, Huaijun Jiang, Mingchao Liu, Jiawei Jiang, Jinyang Gao, Wentao Wu, Zhi Yang, Ce Zhang, Bin Cui:
OpenBox: A Generalized Black-box Optimization Service. CoRR abs/2106.00421 (2021) - [i26]Yang Li, Yu Shen, Wentao Zhang, Jiawei Jiang, Bolin Ding, Yaliang Li, Jingren Zhou, Zhi Yang, Wentao Wu, Ce Zhang, Bin Cui:
VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition. CoRR abs/2107.08861 (2021) - [i25]Wentao Zhang, Yuezihan Jiang, Yang Li, Zeang Sheng, Yu Shen, Xupeng Miao, Liang Wang, Zhi Yang, Bin Cui:
ROD: Reception-aware Online Distillation for Sparse Graphs. CoRR abs/2107.11789 (2021) - [i24]Wentao Zhang, Zhi Yang, Yexin Wang, Yu Shen, Yang Li, Liang Wang, Bin Cui:
Grain: Improving Data Efficiency of Graph Neural Networks via Diversified Influence Maximization. CoRR abs/2108.00219 (2021) - [i23]Wentao Zhang, Zeang Sheng, Yuezihan Jiang, Yikuan Xia, Jun Gao, Zhi Yang, Bin Cui:
Evaluating Deep Graph Neural Networks. CoRR abs/2108.00955 (2021) - [i22]Wentao Zhang, Ziqi Yin, Zeang Sheng, Wen Ouyang, Xiaosen Li, Yangyu Tao, Zhi Yang, Bin Cui:
Graph Attention Multi-Layer Perceptron. CoRR abs/2108.10097 (2021) - [i21]Yuxing Han, Ziniu Wu, Peizhi Wu, Rong Zhu, Jingyi Yang, Liang Wei Tan, Kai Zeng, Gao Cong, Yanzhao Qin, Andreas Pfadler, Zhengping Qian, Jingren Zhou, Jiangneng Li, Bin Cui:
Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation. CoRR abs/2109.05877 (2021) - [i20]Yu Shen, Yang Li, Jian Zheng, Wentao Zhang, Peng Yao, Jixiang Li, Sen Yang, Ji Liu, Bin Cui:
ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-cost Proxies. CoRR abs/2110.10423 (2021) - [i19]Xinyi Zhang, Zhuo Chang, Yang Li, Hong Wu, Jian Tan, Feifei Li, Bin Cui:
Facilitating Database Tuning with Hyper-Parameter Optimization: A Comprehensive Experimental Evaluation. CoRR abs/2110.12654 (2021) - [i18]Wentao Zhang, Mingyu Yang, Zeang Sheng, Yang Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui:
Node Dependent Local Smoothing for Scalable Graph Learning. CoRR abs/2110.14377 (2021) - [i17]Wentao Zhang, Yexin Wang, Zhenbang You, Meng Cao, Ping Huang, Jiulong Shan, Zhi Yang, Bin Cui:
RIM: Reliable Influence-based Active Learning on Graphs. CoRR abs/2110.14854 (2021) - [i16]Renrui Zhang, Ziyu Guo, Wei Zhang, Kunchang Li, Xupeng Miao, Bin Cui, Yu Qiao, Peng Gao, Hongsheng Li:
PointCLIP: Point Cloud Understanding by CLIP. CoRR abs/2112.02413 (2021) - [i15]Xupeng Miao, Hailin Zhang, Yining Shi, Xiaonan Nie, Zhi Yang, Yangyu Tao, Bin Cui:
HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework. CoRR abs/2112.07221 (2021) - [i14]Wentao Zhang, Jiawei Jiang, Yingxia Shao, Bin Cui:
Efficient Diversity-Driven Ensemble for Deep Neural Networks. CoRR abs/2112.13316 (2021) - [i13]Xiaonan Nie, Shijie Cao, Xupeng Miao, Lingxiao Ma, Jilong Xue, Youshan Miao, Zichao Yang, Zhi Yang, Bin Cui:
Dense-to-Sparse Gate for Mixture-of-Experts. CoRR abs/2112.14397 (2021) - [i12]Shicheng Gao, Jie Xu, Xiaosen Li, Fangcheng Fu, Wentao Zhang, Wen Ouyang, Yangyu Tao, Bin Cui:
K-Core Decomposition on Super Large Graphs with Limited Resources. CoRR abs/2112.14840 (2021) - 2020
- [i11]Xingyu Yao, Yingxia Shao, Bin Cui, Lei Chen:
UniNet: Scalable Network Representation Learning with Metropolis-Hastings Sampling. CoRR abs/2010.04895 (2020) - [i10]Xu Xie, Fei Sun, Zhaoyang Liu, Jinyang Gao, Bolin Ding, Bin Cui:
Contrastive Pre-training for Sequential Recommendation. CoRR abs/2010.14395 (2020) - [i9]Shiwen Wu, Wentao Zhang, Fei Sun, Bin Cui:
Graph Neural Networks in Recommender Systems: A Survey. CoRR abs/2011.02260 (2020) - [i8]Rong Zhu, Ziniu Wu, Yuxing Han, Kai Zeng, Andreas Pfadler, Zhengping Qian, Jingren Zhou, Bin Cui:
FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation. CoRR abs/2011.09022 (2020) - [i7]Yang Li, Yu Shen, Jiawei Jiang, Jinyang Gao, Ce Zhang, Bin Cui:
MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements. CoRR abs/2012.03011 (2020) - [i6]Rong Zhu, Andreas Pfadler, Ziniu Wu, Yuxing Han, Xiaoke Yang, Feng Ye, Zhenping Qian, Jingren Zhou, Bin Cui:
Efficient and Scalable Structure Learning for Bayesian Networks: Algorithms and Applications. CoRR abs/2012.03540 (2020) - [i5]Yang Li, Jiawei Jiang, Jinyang Gao, Yingxia Shao, Ce Zhang, Bin Cui:
Efficient Automatic CASH via Rising Bandits. CoRR abs/2012.04371 (2020) - 2019
- [i4]Fangcheng Fu, Jiawei Jiang, Yingxia Shao, Bin Cui:
An Experimental Evaluation of Large Scale GBDT Systems. CoRR abs/1907.01882 (2019) - 2017
- [i3]Tong Yang, Lingtong Liu, Yibo Yan, Muhammad Shahzad, Yulong Shen, Xiaoming Li, Bin Cui, Gaogang Xie:
SF-sketch: slim-fat-sketch with GPU assistance. CoRR abs/1701.04148 (2017) - 2013
- [i2]Zhiting Hu, Chong Wang, Junjie Yao, Eric P. Xing, Hongzhi Yin, Bin Cui:
Community Specific Temporal Topic Discovery from Social Media. CoRR abs/1312.0860 (2013) - 2012
- [i1]Hongzhi Yin, Bin Cui, Jing Li, Junjie Yao, Chen Chen:
Challenging the Long Tail Recommendation. CoRR abs/1205.6700 (2012)
Coauthor Index
[j123] [j103] [j100] [j97] [j86] [j83] [j81] [j78] [j67] [j66] [c205] [c198] [c185] [c171] [c154] [c153] [c150] [c149] [c146] [c145] [c142] [c138] [c137] [c128] [c127] [c126] [c121] [c119] [i77] [i76] [i75] [i73] [i71] [i64] [i55] [i54] [i50] [i46] [i45] [i44] [i41] [i40] [i39] [i29] [i27] [i26] [i25] [i24] [i20] [i19] [i18] [i7] [i5]
[j125] [j113] [j105] [j101] [j99] [j96] [j95] [j84] [j77] [j76] [j74] [j65] [j61] [c213] [c212] [c198] [c193] [c189] [c188] [c186] [c176] [c169] [c167] [c165] [c159] [c158] [c157] [c156] [c143] [c133] [c129] [c128] [c122] [c113] [c109] [c108] [c100] [i89] [i82] [i74] [i72] [i70] [i68] [i62] [i60] [i59] [i52] [i49] [i38] [i36] [i35] [i34] [i31] [i25] [i16] [i15] [i13]
[b2] [j125] [j98] [j96] [j95] [j84] [j82] [j79] [j74] [j63] [j61] [j60] [j59] [j53] [j52] [j50] [j46] [j45] [j43] [j36] [j34] [j33] [c200] [c167] [c159] [c134] [c133] [c129] [c124] [c122] [c119] [c118] [c116] [c112] [c109] [c108] [c107] [c105] [c100] [c99] [c94] [c92] [c78] [c72] [c68] [c67] [c63] [c59] [i63] [i61] [i59] [i48] [i37] [i34] [i33] [i14] [i11] [i5] [i4]
[j122] [j118] [j116] [j115] [j114] [j110] [j109] [j107] [j106] [j96] [j93] [j92] [j91] [j89] [j88] [j80] [j75] [j73] [j72] [j56] [j54] [j53] [j49] [j48] [c209] [c208] [c207] [c202] [c199] [c182] [c181] [c180] [c179] [c178] [c175] [c174] [c173] [c172] [c163] [c162] [c152] [c141] [c120] [c111] [c110] [c106] [c104] [c103] [c97] [c96] [c95] [c91] [c90] [c87] [c85] [i99] [i59] [i57] [i3]
[j126] [j125] [j123] [j121] [j120] [j117] [j111] [j104] [j100] [j95] [j86] [j84] [j83] [j81] [j70] [j67] [j66] [j60] [c206] [c205] [c204] [c201] [c200] [c197] [c195] [c190] [c185] [c184] [c171] [c170] [c159] [c157] [c155] [c154] [c153] [c150] [c149] [c148] [c146] [c145] [c144] [c138] [c129] [c128] [c127] [c126] [c125] [c121] [c116] [c109] [i109] [i104] [i101] [i98] [i97] [i95] [i94] [i93] [i92] [i91] [i88] [i87] [i86] [i85] [i84] [i80] [i77] [i76] [i75] [i71] [i69] [i66] [i64] [i61] [i55] [i54] [i53] [i52] [i46] [i45] [i44] [i43] [i41] [i40] [i39] [i37] [i34] [i33] [i32] [i29] [i27] [i26] [i25] [i24] [i23] [i22] [i20] [i18] [i17] [i14] [i12] [i9]
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Unpaywalled article links
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to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-20 21:59 CET by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
