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ORCIDWentao Zhang 0001
Person information
- affiliation: Peking University, Beijing, China
- affiliation (former): Mila - Québec AI Institute, HEC Montréal, Canada
Other persons with the same name
- Wentao Zhang — disambiguation page
- Wentao Zhang 0002
![[0000-0003-4869-6564]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-4869-6564")
— Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China - Wentao Zhang 0003 — Nanyang Technological University, Singapore
- Wentao Zhang 0004 — Southeast University, Nanjing, China
- Wentao Zhang 0005 — Sun Yat-sen University, Guangzhou, China
- Wentao Zhang 0006 — Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China
- Wentao Zhang 0007 — Nanyang Technological University, College of Computing and Data Science, Singapore
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2020 – today
- 2024
[j18]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)- [j17]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) - [j16]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) - [j15]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) - [j14]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) - [j13]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) - [c41]Wei Jiang, Tong Chen, Guanhua Ye, Wentao Zhang, Lizhen Cui, Zi Huang, Hongzhi Yin:
Physics-guided Active Sample Reweighting for Urban Flow Prediction. CIKM 2024: 1004-1014 - [c40]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 - [c39]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 - [c38]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 - [c37]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 - [c36]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 - [c35]Xinyi Gao, Tong Chen, Yilong Zang, Wentao Zhang, Quoc Viet Hung Nguyen, Kai Zheng, Hongzhi Yin:
Graph Condensation for Inductive Node Representation Learning. ICDE 2024: 3056-3069 - [c34]Yuxiang Wang, Xiao Yan, Chuang Hu, Quanqing Xu, Chuanhui Yang, Fangcheng Fu, Wentao Zhang, Hao Wang, Bo Du, Jiawei Jiang:
Generative and Contrastive Paradigms Are Complementary for Graph Self-Supervised Learning. ICDE 2024: 3364-3378 - [c33]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 - [c32]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 - [c31]Zhilin Huang, Ling Yang, Xiangxin Zhou, Chujun Qin, Yijie Yu, Xiawu Zheng, Zikun Zhou, Wentao Zhang, Yu Wang, Wenming Yang:
Interaction-based Retrieval-augmented Diffusion Models for Protein-specific 3D Molecule Generation. ICML 2024 - [c30]Xinyi Gao, Tong Chen, Wentao Zhang, Yayong Li, Xiangguo Sun, Hongzhi Yin:
Graph Condensation for Open-World Graph Learning. KDD 2024: 851-862 - [c29]Yifei Xia, Fangcheng Fu, Wentao Zhang, Jiawei Jiang, Bin Cui:
Efficient Multi-task LLM Quantization and Serving for Multiple LoRA Adapters. NeurIPS 2024 - [c28]Yuezihan Jiang, Changyu Li, Gaode Chen, Peiyi Li, Qi Zhang, Jingjian Lin, Peng Jiang, Fei Sun, Wentao Zhang:
MMGCL: Meta Knowledge-Enhanced Multi-view Graph Contrastive Learning for Recommendations. RecSys 2024: 538-548 - [c27]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 - [c26]Xunkai Li, Jingyuan Ma, Zhengyu Wu, Daohan Su, Wentao Zhang, Rong-Hua Li, Guoren Wang:
Rethinking Node-wise Propagation for Large-scale Graph Learning. WWW 2024: 560-569 - [i77]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) - [i76]Xinyi Gao, Junliang Yu, Wei Jiang, Tong Chen, Wentao Zhang, Hongzhi Yin:
Graph Condensation: A Survey. CoRR abs/2401.11720 (2024) - [i75]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) - [i74]Jie Liu, Xuequn Shang, Xiaolin Han, Wentao Zhang, Hongzhi Yin:
Spatial-temporal Memories Enhanced Graph Autoencoder for Anomaly Detection in Dynamic Graphs. CoRR abs/2403.09039 (2024) - [i73]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) - [i72]Xinyi Gao, Tong Chen, Wentao Zhang, Junliang Yu, Guanhua Ye, Quoc Viet Hung Nguyen, Hongzhi Yin:
Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition. CoRR abs/2405.13707 (2024) - [i71]Ling Yang, Bohan Zeng, Jiaming Liu, Hong Li, Minghao Xu, Wentao Zhang, Shuicheng Yan:
EditWorld: Simulating World Dynamics for Instruction-Following Image Editing. CoRR abs/2405.14785 (2024) - [i70]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) - [i69]Xinyi Gao, Tong Chen, Wentao Zhang, Yayong Li, Xiangguo Sun, Hongzhi Yin:
Graph Condensation for Open-World Graph Learning. CoRR abs/2405.17003 (2024) - [i68]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) - [i67]Xinyi Gao, Hongzhi Yin, Tong Chen, Guanhua Ye, Wentao Zhang, Bin Cui:
RobGC: Towards Robust Graph Condensation. CoRR abs/2406.13200 (2024) - [i66]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) - [i65]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) - [i64]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) - [i63]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) - [i62]Wei Jiang, Tong Chen, Guanhua Ye, Wentao Zhang, Lizhen Cui, Zi Huang, Hongzhi Yin:
Physics-guided Active Sample Reweighting for Urban Flow Prediction. CoRR abs/2407.13605 (2024) - [i61]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) - [i60]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) - [i59]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) - [i58]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) - [i57]Guosheng Dong, Da Pan, Yiding Sun, Shusen Zhang, Zheng Liang, Xin Wu, Yanjun Shen, Fan Yang, Haoze Sun, Tianpeng Li, Mingan Lin, Jianhua Xu, Yufan Zhang, Xiaonan Nie, Lei Su, Bingning Wang, Wentao Zhang, Jiaxin Mao, Zenan Zhou, Weipeng Chen:
BaichuanSEED: Sharing the Potential of ExtensivE Data Collection and Deduplication by Introducing a Competitive Large Language Model Baseline. CoRR abs/2408.15079 (2024) - [i56]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) - [i55]Qiang Huang, Xiao Yan, Xin Wang, Susie Xi Rao, Zhichao Han, Fangcheng Fu, Wentao Zhang, Jiawei Jiang:
Retrofitting Temporal Graph Neural Networks with Transformer. CoRR abs/2409.05477 (2024) - [i54]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) - [i53]Bozhou Li, Hao Liang, Yang Li, Fangcheng Fu, Hongzhi Yin, Conghui He, Wentao Zhang:
Gradual Learning: Optimizing Fine-Tuning with Partially Mastered Knowledge in Large Language Models. CoRR abs/2410.05802 (2024) - [i52]Bohan Zeng, Ling Yang, Siyu Li, Jiaming Liu, Zixiang Zhang, Juanxi Tian, Kaixin Zhu, Yongzhen Guo, Fu-Yun Wang, Minkai Xu, Stefano Ermon, Wentao Zhang:
Trans4D: Realistic Geometry-Aware Transition for Compositional Text-to-4D Synthesis. CoRR abs/2410.07155 (2024) - [i51]Tianyi Bai, Ling Yang, Zhen Hao Wong, Jiahui Peng, Xinlin Zhuang, Chi Zhang, Lijun Wu, Jiantao Qiu, Wentao Zhang, Binhang Yuan, Conghui He:
Multi-Agent Collaborative Data Selection for Efficient LLM Pretraining. CoRR abs/2410.08102 (2024) - [i50]Youquan Li, Miao Zheng, Fan Yang, Guosheng Dong, Bin Cui, Weipeng Chen, Zenan Zhou, Wentao Zhang:
FB-Bench: A Fine-Grained Multi-Task Benchmark for Evaluating LLMs' Responsiveness to Human Feedback. CoRR abs/2410.09412 (2024) - [i49]Mingyang Chen, Haoze Sun, Tianpeng Li, Fan Yang, Hao Liang, Keer Lu, Bin Cui, Wentao Zhang, Zenan Zhou, Weipeng Chen:
Facilitating Multi-turn Function Calling for LLMs via Compositional Instruction Tuning. CoRR abs/2410.12952 (2024) - [i48]Mingan Lin, Fan Yang, Yanjun Shen, Haoze Sun, Tianpeng Li, Tao Zhang, Chenzheng Zhu, Tao Zhang, Miao Zheng, Xu Li, Yijie Zhou, Mingyang Chen, Yanzhao Qin, Youquan Li, Hao Liang, Fei Li, Yadong Li, Mang Wang, Guosheng Dong, Kun Fang, Jianhua Xu, Bin Cui, Wentao Zhang, Zenan Zhou, Weipeng Chen:
Baichuan Alignment Technical Report. CoRR abs/2410.14940 (2024) - [i47]Jie Jiang, Haining Xie, Yu Shen, Zihan Zhang, Meng Lei, Yifeng Zheng, Yide Fang, Chunyou Li, Danqing Huang, Wentao Zhang, Yang Li, Xiaofeng Yang, Bin Cui, Peng Chen:
SiriusBI: Building End-to-End Business Intelligence Enhanced by Large Language Models. CoRR abs/2411.06102 (2024) - [i46]Keer Lu, Keshi Zhao, Zheng Liang, Da Pan, Shusen Zhang, Xin Wu, Weipeng Chen, Zenan Zhou, Guosheng Dong, Bin Cui, Wentao Zhang:
VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs. CoRR abs/2411.11266 (2024) - [i45]Wei Jiang, Tong Chen, Xinyi Gao, Wentao Zhang, Lizhen Cui, Hongzhi Yin:
Epidemiology-informed Network for Robust Rumor Detection. CoRR abs/2411.12949 (2024) - [i44]Xinyi Gao, Yayong Li, Tong Chen, Guanhua Ye, Wentao Zhang, Hongzhi Yin:
Contrastive Graph Condensation: Advancing Data Versatility through Self-Supervised Learning. CoRR abs/2411.17063 (2024) - [i43]Haiyang Jiang, Tong Chen, Wentao Zhang, Nguyen Quoc Viet Hung, Yuan Yuan, Yong Li, Lizhen Cui:
Memory-enhanced Invariant Prompt Learning for Urban Flow Prediction under Distribution Shifts. CoRR abs/2412.05534 (2024) - [i42]Yuxuan Liang, Wentao Zhang, Zeang Sheng, Ling Yang, Quanqing Xu, Jiawei Jiang, Yunhai Tong, Bin Cui:
Towards Scalable and Deep Graph Neural Networks via Noise Masking. CoRR abs/2412.14602 (2024) - [i41]Yuxuan Liang, Wentao Zhang, Xinyi Gao, Ling Yang, Chong Chen, Hongzhi Yin, Yunhai Tong, Bin Cui:
Training-free Heterogeneous Graph Condensation via Data Selection. CoRR abs/2412.16250 (2024) - [i40]Guochen Yan, Luyuan Xie, Xinyi Gao, Wentao Zhang, Qingni Shen, Yuejian Fang, Zhonghai Wu:
FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis. CoRR abs/2412.18557 (2024) - 2023
- [j12]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) - [j11]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) - [j10]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) - [j9]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) - [j8]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) - [j7]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) - [c25]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 - [c24]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 - [c23]Xinyi Gao, Wentao Zhang, Tong Chen, Junliang Yu, Nguyen Quoc Viet Hung, Hongzhi Yin:
Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks. CIKM 2023: 545-555 - [c22]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 - [c21]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 - [i39]Yu Shen, Yupeng Lu, Yang Li, Yaofeng Tu, Wentao Zhang, Bin Cui:
DivBO: Diversity-aware CASH for Ensemble Learning. CoRR abs/2302.03255 (2023) - [i38]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) - [i37]Tianyi Bai, Yang Li, Yu Shen, Xinyi Zhang, Wentao Zhang, Bin Cui:
Transfer Learning for Bayesian Optimization: A Survey. CoRR abs/2302.05927 (2023) - [i36]Xinyi Gao, Wentao Zhang, Tong Chen, Junliang Yu, Quoc Viet Hung Nguyen, Hongzhi Yin:
Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks. CoRR abs/2302.14061 (2023) - [i35]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) - [i34]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) - [i33]Xinyi Gao, Tong Chen, Yilong Zang, Wentao Zhang, Quoc Viet Hung Nguyen, Kai Zheng, Hongzhi Yin:
Graph Condensation for Inductive Node Representation Learning. CoRR abs/2307.15967 (2023) - [i32]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) - [i31]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) - [i30]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) - [i29]Yuxiang Wang, Xiao Yan, Chuang Hu, Fangcheng Fu, Wentao Zhang, Hao Wang, Shuo Shang, Jiawei Jiang:
Generative and Contrastive Paradigms Are Complementary for Graph Self-Supervised Learning. CoRR abs/2310.15523 (2023) - 2022
- [j6]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) - [j5]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) - [c20]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 - [c19]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 - [c18]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 - [c17]Wentao Zhang, Zheyu Lin, Yu Shen, Yang Li, Zhi Yang, Bin Cui:
Deep and Flexible Graph Neural Architecture Search. ICML 2022: 26362-26374 - [c16]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 - [c15]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 - [c14]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 - [c13]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 - [c12]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 - [c11]Yu Shen, Yupeng Lu, Yang Li, Yaofeng Tu, Wentao Zhang, Bin Cui:
DivBO: Diversity-aware CASH for Ensemble Learning. NeurIPS 2022 - [c10]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 - [c9]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 - [i28]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) - [i27]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) - [i26]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) - [i25]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) - [i24]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) - [i23]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) - [i22]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) - [i21]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) - [i20]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) - [i19]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) - [i18]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) - [i17]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) - [i16]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) - [i15]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) - [i14]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) - 2021
- [j4]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) - [j3]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) - [j2]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) - [c8]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 - [c7]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 - [c6]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 - [c5]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 - [c4]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 - [c3]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 - [i13]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) - [i12]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) - [i11]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) - [i10]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) - [i9]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) - [i8]Wentao Zhang, Zeang Sheng, Yuezihan Jiang, Yikuan Xia, Jun Gao, Zhi Yang, Bin Cui:
Evaluating Deep Graph Neural Networks. CoRR abs/2108.00955 (2021) - [i7]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) - [i6]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) - [i5]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) - [i4]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) - [i3]Wentao Zhang, Jiawei Jiang, Yingxia Shao, Bin Cui:
Efficient Diversity-Driven Ensemble for Deep Neural Networks. CoRR abs/2112.13316 (2021) - [i2]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
- [j1]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) - [c2]Wentao Zhang, Jiawei Jiang, Yingxia Shao, Bin Cui:
Efficient Diversity-Driven Ensemble for Deep Neural Networks. ICDE 2020: 73-84 - [c1]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 - [i1]Shiwen Wu, Wentao Zhang, Fei Sun, Bin Cui:
Graph Neural Networks in Recommender Systems: A Survey. CoRR abs/2011.02260 (2020)
Coauthor Index
[j18] [j17] [j16] [j15] [j14] [j13] [c40] [c39] [c38] [c37] [c36] [c33] [c32] [c29] [c27] [i77] [i75] [i73] [i70] [i68] [i67] [i66] [i65] [i64] [i63] [i61] [i60] [i59] [i58] [i56] [i54] [i50] [i49] [i48] [i47] [i46] [i42] [i41] [j12] [j11] [j10] [j9] [j8] [j7] [c25] [c24] [c22] [c21] [i39] [i38] [i37] [i35] [i34] [i32] [i31] [i30] [j6] [j5] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [j4] [j3] [j2] [c8] [c7] [c6] [c5] [c4] [c3] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [i4] [i3] [i2] [j1] [c2] [c1] [i1]
Nguyen Quoc Viet Hung
aka: Quoc Viet Hung Nguyen
aka: Quoc Viet Hung Nguyen
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