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2020 – today
- 2024
[j35]Zhe Yuan, Zhewei Wei, Fangrui Lv, Ji-Rong Wen:
Index-free triangle-based graph local clustering. Frontiers Comput. Sci. 18(3): 183404 (2024)- [j34]Lei Wang, Chen Ma, Xueyang Feng, Zeyu Zhang, Hao Yang, Jingsen Zhang, Zhiyuan Chen, Jiakai Tang, Xu Chen, Yankai Lin, Wayne Xin Zhao, Zhewei Wei, Jirong Wen:
A survey on large language model based autonomous agents. Frontiers Comput. Sci. 18(6): 186345 (2024) - [j33]Jiajun Li
, Runlin Lei, Sibo Wang, Zhewei Wei, Bolin Ding:
Learning-based Property Estimation with Polynomials. Proc. ACM Manag. Data 2(3): 148 (2024) - [j32]Hanyan Yin, Dongxie Wen, Jiajun Li, Zhewei Wei, Xiao Zhang, Zengfeng Huang, Feifei Li:
Optimal Matrix Sketching over Sliding Windows. Proc. VLDB Endow. 17(9): 2149-2161 (2024) - [j31]Mingji Yang, Hanzhi Wang, Zhewei Wei, Sibo Wang, Ji-Rong Wen:
Efficient Algorithms for Personalized PageRank Computation: A Survey. IEEE Trans. Knowl. Data Eng. 36(9): 4582-4602 (2024) - [j30]Weirui Kuang, Zhen Wang, Zhewei Wei, Yaliang Li, Bolin Ding:
When Transformer Meets Large Graphs: An Expressive and Efficient Two-View Architecture. IEEE Trans. Knowl. Data Eng. 36(10): 5440-5452 (2024) - [c56]Jinjia Feng, Zhen Wang, Zhewei Wei, Yaliang Li, Bolin Ding, Hongteng Xu:
Federated Heterogeneous Contrastive Distillation for Molecular Representation Learning. CIKM 2024: 1038-1048 - [c55]Jie Peng, Runlin Lei, Zhewei Wei:
Beyond Over-smoothing: Uncovering the Trainability Challenges in Deep Graph Neural Networks. CIKM 2024: 1878-1887 - [c54]Yang Zhang, Zhewei Wei, Wenbing Huang, Chongxuan Li:
HierAffinity: Predicting Protein-Ligand Binding Affinity With Hierarchical Modeling. DASFAA (7) 2024: 37-52 - [c53]Yang Zhang, Zhewei Wei, Wenbing Huang, Chongxuan Li:
TransPocket: Structural and Geometric Transformer for Ligand Binding Site Detection. DASFAA (7) 2024: 188-198 - [c52]Jiarui Ji, Yang Li, Hongtao Liu, Zhicheng Du, Zhewei Wei, Qi Qi, Weiran Shen, Yankai Lin:
SRAP-Agent: Simulating and Optimizing Scarce Resource Allocation Policy with LLM-based Agent. EMNLP (Findings) 2024: 267-293 - [c51]Zhewei Wei, Ji-Rong Wen, Mingji Yang:
Approximating Single-Source Personalized PageRank with Absolute Error Guarantees. ICDT 2024: 9:1-9:19 - [c50]Jingyu Chen, Runlin Lei, Zhewei Wei:
PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable Spectral Polynomial Filters. ICLR 2024 - [c49]Yang Zhang, Zhewei Wei, Ye Yuan, Chongxuan Li, Wenbing Huang:
EquiPocket: an E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction. ICML 2024 - [c48]Jiahong Ma, Mingguo He, Zhewei Wei:
PolyFormer: Scalable Node-wise Filters via Polynomial Graph Transformer. KDD 2024: 2118-2129 - [c47]Hanzhi Wang, Zhewei Wei, Ji-Rong Wen, Mingji Yang:
Revisiting Local Computation of PageRank: Simple and Optimal. STOC 2024: 911-922 - [c46]Xuwei Xu, Sen Wang, Yudong Chen, Yanping Zheng, Zhewei Wei, Jiajun Liu:
GTP-ViT: Efficient Vision Transformers via Graph-based Token Propagation. WACV 2024: 86-95 - [c45]Mingguo He, Zhewei Wei, Shikun Feng, Zhengjie Huang, Weibin Li, Yu Sun, Dianhai Yu:
Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials. WWW 2024: 685-696 - [c44]Zhen Wang, Yaliang Li, Bolin Ding, Yule Li, Zhewei Wei:
Exploring Neural Scaling Law and Data Pruning Methods For Node Classification on Large-scale Graphs. WWW 2024: 780-791 - [i56]Zhewei Wei, Ji-Rong Wen, Mingji Yang:
Approximating Single-Source Personalized PageRank with Absolute Error Guarantees. CoRR abs/2401.01019 (2024) - [i55]Jiaqi Han, Jiacheng Cen, Liming Wu, Zongzhao Li, Xiangzhe Kong, Rui Jiao, Ziyang Yu, Tingyang Xu, Fandi Wu, Zihe Wang, Hongteng Xu, Zhewei Wei, Yang Liu, Yu Rong, Wenbing Huang:
A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications. CoRR abs/2403.00485 (2024) - [i54]Mingji Yang, Hanzhi Wang, Zhewei Wei, Sibo Wang, Ji-Rong Wen:
Efficient Algorithms for Personalized PageRank Computation: A Survey. CoRR abs/2403.05198 (2024) - [i53]Hanzhi Wang, Zhewei Wei, Ji-Rong Wen, Mingji Yang:
Revisiting Local Computation of PageRank: Simple and Optimal. CoRR abs/2403.12648 (2024) - [i52]Yanping Zheng, Lu Yi, Zhewei Wei:
A survey of dynamic graph neural networks. CoRR abs/2404.18211 (2024) - [i51]Hanyan Yin, Dongxie Wen, Jiajun Li, Zhewei Wei, Xiao Zhang, Zengfeng Huang, Feifei Li:
Optimal Matrix Sketching over Sliding Windows. CoRR abs/2405.07792 (2024) - [i50]Runlin Lei, Yuwei Hu, Yuchen Ren, Zhewei Wei:
Intruding with Words: Towards Understanding Graph Injection Attacks at the Text Level. CoRR abs/2405.16405 (2024) - [i49]Tianjing Zeng, Junwei Lan, Jiahong Ma, Wenqing Wei, Rong Zhu, Pengfei Li, Bolin Ding, Defu Lian, Zhewei Wei, Jingren Zhou:
PRICE: A Pretrained Model for Cross-Database Cardinality Estimation. CoRR abs/2406.01027 (2024) - [i48]Yutao Zhu, Kun Zhou, Kelong Mao, Wentong Chen, Yiding Sun, Zhipeng Chen, Qian Cao, Yihan Wu, Yushuo Chen, Feng Wang, Lei Zhang, Junyi Li, Xiaolei Wang, Lei Wang, Beichen Zhang, Zican Dong, Xiaoxue Cheng, Yuhan Chen, Xinyu Tang, Yupeng Hou, Qiangqiang Ren, Xincheng Pang, Shufang Xie, Wayne Xin Zhao, Zhicheng Dou, Jiaxin Mao, Yankai Lin, Ruihua Song, Jun Xu, Xu Chen, Rui Yan, Zhewei Wei, Di Hu, Wenbing Huang, Ze-Feng Gao, Yueguo Chen, Weizheng Lu, Ji-Rong Wen:
YuLan: An Open-source Large Language Model. CoRR abs/2406.19853 (2024) - [i47]Jiahong Ma, Mingguo He, Zhewei Wei:
PolyFormer: Scalable Node-wise Filters via Polynomial Graph Transformer. CoRR abs/2407.14459 (2024) - [i46]Xuchen Pan, Dawei Gao, Yuexiang Xie, Zhewei Wei, Yaliang Li, Bolin Ding, Ji-Rong Wen, Jingren Zhou:
Very Large-Scale Multi-Agent Simulation in AgentScope. CoRR abs/2407.17789 (2024) - [i45]Jie Chen, Zhipeng Chen, Jiapeng Wang, Kun Zhou, Yutao Zhu, Jinhao Jiang, Yingqian Min, Wayne Xin Zhao, Zhicheng Dou, Jiaxin Mao, Yankai Lin, Ruihua Song, Jun Xu, Xu Chen, Rui Yan, Zhewei Wei, Di Hu, Wenbing Huang, Ji-Rong Wen:
Towards Effective and Efficient Continual Pre-training of Large Language Models. CoRR abs/2407.18743 (2024) - [i44]Jie Peng, Runlin Lei, Zhewei Wei:
Beyond Over-smoothing: Uncovering the Trainability Challenges in Deep Graph Neural Networks. CoRR abs/2408.03669 (2024) - [i43]Lu Yi, Zhewei Wei:
Scalable and Certifiable Graph Unlearning via Lazy Local Propagation. CoRR abs/2408.09212 (2024) - [i42]Gengmo Zhou, Zhen Wang, Feng Yu, Guolin Ke, Zhewei Wei, Zhifeng Gao:
S-MolSearch: 3D Semi-supervised Contrastive Learning for Bioactive Molecule Search. CoRR abs/2409.07462 (2024) - [i41]Guanyu Cui, Zhewei Wei, Hsin-Hao Su:
Rethinking the Expressiveness of GNNs: A Computational Model Perspective. CoRR abs/2410.01308 (2024) - [i40]Yuwei Hu, Runlin Lei, Xinyi Huang, Zhewei Wei, Yongchao Liu:
Scalable and Accurate Graph Reasoning with LLM-based Multi-Agents. CoRR abs/2410.05130 (2024) - 2023
- [j29]Guanhao Hou, Qintian Guo, Fangyuan Zhang, Sibo Wang, Zhewei Wei:
Personalized PageRank on Evolving Graphs with an Incremental Index-Update Scheme. Proc. ACM Manag. Data 1(1): 25:1-25:26 (2023) - [j28]Yanping Zheng, Zhewei Wei, Jiajun Liu:
Decoupled Graph Neural Networks for Large Dynamic Graphs. Proc. VLDB Endow. 16(9): 2239-2247 (2023) - [j27]Yihua Hu, Feng Zhang, Yifei Xia, Zhiming Yao, Letian Zeng, Haipeng Ding, Zhewei Wei, Xiao Zhang, Jidong Zhai, Xiaoyong Du, Siqi Ma:
Enabling Efficient Random Access to Hierarchically Compressed Text Data on Diverse GPU Platforms. IEEE Trans. Parallel Distributed Syst. 34(10): 2699-2717 (2023) - [c43]Peyman Afshani, Pingan Cheng, Aniket Basu Roy, Zhewei Wei:
On Range Summary Queries. ICALP 2023: 7:1-7:17 - [c42]Dazhao Du, Bing Su, Zhewei Wei:
Preformer: Predictive Transformer with Multi-Scale Segment-Wise Correlations for Long-Term Time Series Forecasting. ICASSP 2023: 1-5 - [c41]Gengmo Zhou, Zhifeng Gao, Qiankun Ding, Hang Zheng, Hongteng Xu, Zhewei Wei, Linfeng Zhang, Guolin Ke:
Uni-Mol: A Universal 3D Molecular Representation Learning Framework. ICLR 2023 - [c40]Yuhe Guo, Zhewei Wei:
Graph Neural Networks with Learnable and Optimal Polynomial Bases. ICML 2023: 12077-12097 - [c39]Guanyu Cui, Zhewei Wei:
MGNN: Graph Neural Networks Inspired by Distance Geometry Problem. KDD 2023: 335-347 - [c38]Yuhe Guo, Zhewei Wei:
Clenshaw Graph Neural Networks. KDD 2023: 614-625 - [c37]Lu Yi, Hanzhi Wang, Zhewei Wei:
Optimal Dynamic Subset Sampling: Theory and Applications. KDD 2023: 3116-3127 - [i39]Gengmo Zhou, Zhifeng Gao, Zhewei Wei, Hang Zheng, Guolin Ke:
Do Deep Learning Methods Really Perform Better in Molecular Conformation Generation? CoRR abs/2302.07061 (2023) - [i38]Yang Zhang, Wenbing Huang, Zhewei Wei, Ye Yuan, Zhaohan Ding:
EquiPocket: an E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction. CoRR abs/2302.12177 (2023) - [i37]Yuhe Guo, Zhewei Wei:
Graph Neural Networks with Learnable and Optimal Polynomial Bases. CoRR abs/2302.12432 (2023) - [i36]Qian Tao, Zhen Wang, Wenyuan Yu, Yaliang Li, Zhewei Wei:
LON-GNN: Spectral GNNs with Learnable Orthonormal Basis. CoRR abs/2303.13750 (2023) - [i35]Peyman Afshani, Pingan Cheng, Aniket Basu Roy, Zhewei Wei:
On Range Summary Queries. CoRR abs/2305.03180 (2023) - [i34]Yanping Zheng, Zhewei Wei, Jiajun Liu:
Decoupled Graph Neural Networks for Large Dynamic Graphs. CoRR abs/2305.08273 (2023) - [i33]Lu Yi, Hanzhi Wang, Zhewei Wei:
Optimal Dynamic Subset Sampling: Theory and Applications. CoRR abs/2305.18785 (2023) - [i32]Mingguo He, Zhewei Wei, Shikun Feng, Zhengjie Huang, Weibin Li, Yu Sun, Dianhai Yu:
Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials. CoRR abs/2305.19872 (2023) - [i31]Hanzhi Wang, Zhewei Wei:
Estimating Single-Node PageRank in Õ(min{dt, √m}) Time. CoRR abs/2307.13162 (2023) - [i30]Lei Wang, Chen Ma, Xueyang Feng, Zeyu Zhang, Hao Yang, Jingsen Zhang, Zhiyuan Chen, Jiakai Tang, Xu Chen, Yankai Lin, Wayne Xin Zhao, Zhewei Wei, Ji-Rong Wen:
A Survey on Large Language Model based Autonomous Agents. CoRR abs/2308.11432 (2023) - [i29]Xuwei Xu, Sen Wang, Yudong Chen, Yanping Zheng, Zhewei Wei, Jiajun Liu:
GTP-ViT: Efficient Vision Transformers via Graph-based Token Propagation. CoRR abs/2311.03035 (2023) - 2022
- [j26]Hanzhi Wang, Zhewei Wei, Junhao Gan, Ye Yuan, Xiaoyong Du, Ji-Rong Wen:
Edge-based Local Push for Personalized PageRank. Proc. VLDB Endow. 15(7): 1376-1389 (2022) - [j25]Shuang Yang, Yahui Sun, Jiesong Liu, Xiaokui Xiao, Rong-Hua Li, Zhewei Wei:
Approximating Probabilistic Group Steiner Trees in Graphs. Proc. VLDB Endow. 16(2): 343-355 (2022) - [j24]Yu Liu, Lei Zou, Zhewei Wei:
Building Graphs at Scale via Sequence of Edges: Model and Generation Algorithms. IEEE Trans. Knowl. Data Eng. 34(12): 5649-5663 (2022) - [j23]Tianjing Zeng, Zhewei Wei, Ge Luo, Ke Yi, Xiaoyong Du, Ji-Rong Wen:
Persistent Summaries. ACM Trans. Database Syst. 47(3): 11:1-11:42 (2022) - [j22]Qintian Guo, Sibo Wang, Zhewei Wei, Wenqing Lin, Jing Tang:
Influence Maximization Revisited: Efficient Sampling with Bound Tightened. ACM Trans. Database Syst. 47(3): 12:1-12:45 (2022) - [c36]Jinjia Feng, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei, Hongteng Xu:
MGMAE: Molecular Representation Learning by Reconstructing Heterogeneous Graphs with A High Mask Ratio. CIKM 2022: 509-519 - [c35]Yu Liu, Lei Zou, Zhewei Wei:
Building Graphs at Scale via Sequence of Edges: Model and Generation Algorithms (Extended Abstract). ICDE 2022: 1537-1538 - [c34]Yang Zhang, Gengmo Zhou, Zhewei Wei, Hongteng Xu:
Predicting Protein-Ligand Binding Affinity via Joint Global-Local Interaction Modeling. ICDM 2022: 1323-1328 - [c33]Jiajun Li, Zhewei Wei, Bolin Ding, Xiening Dai, Lu Lu, Jingren Zhou:
Sampling-based Estimation of the Number of Distinct Values in Distributed Environment. KDD 2022: 893-903 - [c32]Zhen Wang, Zhewei Wei, Yaliang Li, Weirui Kuang, Bolin Ding:
Graph Neural Networks with Node-wise Architecture. KDD 2022: 1949-1958 - [c31]Yanping Zheng, Hanzhi Wang, Zhewei Wei, Jiajun Liu, Sibo Wang:
Instant Graph Neural Networks for Dynamic Graphs. KDD 2022: 2605-2615 - [c30]Mingguo He, Zhewei Wei, Ji-Rong Wen:
Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited. NeurIPS 2022 - [c29]Runlin Lei, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei:
EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks. NeurIPS 2022 - [c28]Feng Zhang, Yihua Hu, Haipeng Ding, Zhiming Yao, Zhewei Wei, Xiao Zhang, Xiaoyong Du:
Optimizing Random Access to Hierarchically-Compressed Data on GPU. SC 2022: 18:1-18:15 - [i28]Guanyu Cui, Zhewei Wei:
GSN: A Universal Graph Neural Network Inspired by Spring Network. CoRR abs/2201.12994 (2022) - [i27]Renzhi Wu, Bolin Ding, Xu Chu, Zhewei Wei, Xiening Dai, Tao Guan, Jingren Zhou:
Learning to be a Statistician: Learned Estimator for Number of Distinct Values. CoRR abs/2202.02800 (2022) - [i26]Mingguo He, Zhewei Wei, Ji-Rong Wen:
Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited. CoRR abs/2202.03580 (2022) - [i25]Dazhao Du, Bing Su, Zhewei Wei:
Preformer: Predictive Transformer with Multi-Scale Segment-wise Correlations for Long-Term Time Series Forecasting. CoRR abs/2202.11356 (2022) - [i24]Hanzhi Wang, Zhewei Wei, Junhao Gan, Ye Yuan, Xiaoyong Du, Ji-Rong Wen:
Edge-based Local Push for Personalized PageRank. CoRR abs/2203.07937 (2022) - [i23]Runlin Lei, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei:
EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks. CoRR abs/2205.13892 (2022) - [i22]Yanping Zheng, Hanzhi Wang, Zhewei Wei, Jiajun Liu, Sibo Wang:
Instant Graph Neural Networks for Dynamic Graphs. CoRR abs/2206.01379 (2022) - [i21]Jiajun Li, Zhewei Wei, Bolin Ding, Xiening Dai, Lu Lu, Jingren Zhou:
Sampling-based Estimation of the Number of Distinct Values in Distributed Environment. CoRR abs/2206.05476 (2022) - [i20]Yang Zhang, Gengmo Zhou, Zhewei Wei, Hongteng Xu:
Predicting Protein-Ligand Binding Affinity via Joint Global-Local Interaction Modeling. CoRR abs/2209.13014 (2022) - [i19]Yuhe Guo, Zhewei Wei:
Clenshaw Graph Neural Networks. CoRR abs/2210.16508 (2022) - [i18]Guanhao Hou, Qintian Guo, Fangyuan Zhang, Sibo Wang, Zhewei Wei:
Personalized PageRank on Evolving Graphs with an Incremental Index-Update Scheme. CoRR abs/2212.10288 (2022) - 2021
- [j21]Shuyuan Yan, Bolin Ding, Wei Guo, Jingren Zhou, Zhewei Wei, Xiaowei Jiang, Sheng Xu:
FlashP: An Analytical Pipeline for Real-time Forecasting of Time-Series Relational Data. Proc. VLDB Endow. 14(5): 721-729 (2021) - [j20]Guanhao Hou, Xingguang Chen, Sibo Wang, Zhewei Wei:
Massively Parallel Algorithms for Personalized PageRank. Proc. VLDB Endow. 14(9): 1668-1680 (2021) - [j19]Renzhi Wu, Bolin Ding, Xu Chu, Zhewei Wei, Xiening Dai, Tao Guan, Jingren Zhou:
Learning to be a Statistician: Learned Estimator for Number of Distinct Values. Proc. VLDB Endow. 15(2): 272-284 (2021) - [j18]Hanzhi Wang, Zhewei Wei, Yu Liu, Ye Yuan, Xiaoyong Du, Ji-Rong Wen:
ExactSim: benchmarking single-source SimRank algorithms with high-precision ground truths. VLDB J. 30(6): 989-1015 (2021) - [c27]Yongyi Yang, Tang Liu, Yangkun Wang, Jinjing Zhou, Quan Gan, Zhewei Wei, Zheng Zhang, Zengfeng Huang, David Wipf:
Graph Neural Networks Inspired by Classical Iterative Algorithms. ICML 2021: 11773-11783 - [c26]Hanzhi Wang, Mingguo He, Zhewei Wei, Sibo Wang, Ye Yuan, Xiaoyong Du, Ji-Rong Wen:
Approximate Graph Propagation. KDD 2021: 1686-1696 - [c25]Mingguo He, Zhewei Wei, Zengfeng Huang, Hongteng Xu:
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation. NeurIPS 2021: 14239-14251 - [c24]Hao Wu, Junhao Gan, Zhewei Wei, Rui Zhang:
Unifying the Global and Local Approaches: An Efficient Power Iteration with Forward Push. SIGMOD Conference 2021: 1996-2008 - [e2]Ke Yi, Zhewei Wei:
24th International Conference on Database Theory, ICDT 2021, March 23-26, 2021, Nicosia, Cyprus. LIPIcs 186, Schloss Dagstuhl - Leibniz-Zentrum für Informatik 2021, ISBN 978-3-95977-179-5 [contents] - [i17]Shuyuan Yan, Bolin Ding, Wei Guo, Jingren Zhou, Zhewei Wei, Xiaowei Jiang, Sheng Xu:
FlashP: An Analytical Pipeline for Real-time Forecasting of Time-Series Relational Data. CoRR abs/2101.03298 (2021) - [i16]Hao Wu, Junhao Gan, Zhewei Wei, Rui Zhang:
Unifying the Global and Local Approaches: An Efficient Power Iteration with Forward Push. CoRR abs/2101.03652 (2021) - [i15]Yongyi Yang, Tang Liu, Yangkun Wang, Jinjing Zhou, Quan Gan, Zhewei Wei, Zheng Zhang, Zengfeng Huang, David Wipf:
Graph Neural Networks Inspired by Classical Iterative Algorithms. CoRR abs/2103.06064 (2021) - [i14]Hanzhi Wang, Mingguo He, Zhewei Wei, Sibo Wang, Ye Yuan, Xiaoyong Du, Ji-Rong Wen:
Approximate Graph Propagation. CoRR abs/2106.03058 (2021) - [i13]Mingguo He, Zhewei Wei, Zengfeng Huang, Hongteng Xu:
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation. CoRR abs/2106.10994 (2021) - 2020
- [j17]Yu Liu, Lei Zou, Qian Ge, Zhewei Wei:
SimTab: Accuracy-Guaranteed SimRank Queries through Tighter Confidence Bounds and Multi-Armed Bandits. Proc. VLDB Endow. 13(11): 2202-2214 (2020) - [j16]Jingru Yang, Ju Fan, Zhewei Wei, Guoliang Li, Tongyu Liu, Xiaoyong Du:
A game-based framework for crowdsourced data labeling. VLDB J. 29(6): 1311-1336 (2020) - [c23]Ming Chen, Zhewei Wei, Zengfeng Huang, Bolin Ding, Yaliang Li:
Simple and Deep Graph Convolutional Networks. ICML 2020: 1725-1735 - [c22]Hanzhi Wang, Zhewei Wei, Junhao Gan, Sibo Wang, Zengfeng Huang:
Personalized PageRank to a Target Node, Revisited. KDD 2020: 657-667 - [c21]Ming Chen, Zhewei Wei, Bolin Ding, Yaliang Li, Ye Yuan, Xiaoyong Du, Ji-Rong Wen:
Scalable Graph Neural Networks via Bidirectional Propagation. NeurIPS 2020 - [c20]Hanzhi Wang, Zhewei Wei, Ye Yuan, Xiaoyong Du, Ji-Rong Wen:
Exact Single-Source SimRank Computation on Large Graphs. SIGMOD Conference 2020: 653-663 - [c19]Qintian Guo, Sibo Wang, Zhewei Wei, Ming Chen:
Influence Maximization Revisited: Efficient Reverse Reachable Set Generation with Bound Tightened. SIGMOD Conference 2020: 2167-2181 - [e1]Dan Suciu, Yufei Tao, Zhewei Wei:
Proceedings of the 39th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems, PODS 2020, Portland, OR, USA, June 14-19, 2020. ACM 2020, ISBN 978-1-4503-7108-7 [contents] - [i12]Hanzhi Wang, Zhewei Wei, Ye Yuan, Xiaoyong Du, Ji-Rong Wen:
Exact Single-Source SimRank Computation on Large Graphs. CoRR abs/2004.03493 (2020) - [i11]Hanzhi Wang, Zhewei Wei, Junhao Gan, Sibo Wang, Zengfeng Huang:
Personalized PageRank to a Target Node, Revisited. CoRR abs/2006.11876 (2020) - [i10]Ming Chen, Zhewei Wei, Zengfeng Huang, Bolin Ding, Yaliang Li:
Simple and Deep Graph Convolutional Networks. CoRR abs/2007.02133 (2020) - [i9]Ming Chen, Zhewei Wei, Bolin Ding, Yaliang Li, Ye Yuan, Xiaoyong Du, Ji-Rong Wen:
Scalable Graph Neural Networks via Bidirectional Propagation. CoRR abs/2010.15421 (2020)
2010 – 2019
- 2019
- [j15]Shuo Shang, Lisi Chen, Kai Zheng, Christian S. Jensen, Zhewei Wei, Panos Kalnis:
Parallel Trajectory-to-Location Join. IEEE Trans. Knowl. Data Eng. 31(6): 1194-1207 (2019) - [j14]Ju Fan, Zhewei Wei, Dongxiang Zhang, Jingru Yang, Xiaoyong Du:
Distribution-Aware Crowdsourced Entity Collection. IEEE Trans. Knowl. Data Eng. 31(7): 1312-1326 (2019) - [j13]Sibo Wang, Renchi Yang, Runhui Wang, Xiaokui Xiao, Zhewei Wei, Wenqing Lin, Yin Yang, Nan Tang:
Efficient Algorithms for Approximate Single-Source Personalized PageRank Queries. ACM Trans. Database Syst. 44(4): 18:1-18:37 (2019) - [c18]Yuan Yin, Zhewei Wei:
Scalable Graph Embeddings via Sparse Transpose Proximities. KDD 2019: 1429-1437 - [c17]Zhewei Wei, Xiaodong He, Xiaokui Xiao, Sibo Wang, Yu Liu, Xiaoyong Du, Ji-Rong Wen:
PRSim: Sublinear Time SimRank Computation on Large Power-Law Graphs. SIGMOD Conference 2019: 1042-1059 - [c16]Renchi Yang, Xiaokui Xiao, Zhewei Wei, Sourav S. Bhowmick, Jun Zhao, Rong-Hua Li:
Efficient Estimation of Heat Kernel PageRank for Local Clustering. SIGMOD Conference 2019: 1339-1356 - [c15]Tongyu Liu, Jingru Yang, Ju Fan, Zhewei Wei, Guoliang Li, Xiaoyong Du:
CrowdGame: A Game-Based Crowdsourcing System for Cost-Effective Data Labeling. SIGMOD Conference 2019: 1957-1960 - [i8]Renchi Yang, Xiaokui Xiao, Zhewei Wei, Sourav S. Bhowmick, Jun Zhao, Rong-Hua Li:
Efficient Estimation of Heat Kernel PageRank for Local Clustering. CoRR abs/1904.02707 (2019) - [i7]Zhewei Wei, Xiaodong He, Xiaokui Xiao, Sibo Wang, Yu Liu, Xiaoyong Du, Ji-Rong Wen:
PRSim: Sublinear Time SimRank Computation on Large Power-Law Graphs. CoRR abs/1905.02354 (2019) - [i6]Yuan Yin, Zhewei Wei:
Scalable Graph Embeddings via Sparse Transpose Proximities. CoRR abs/1905.07245 (2019) - [i5]Sibo Wang, Renchi Yang, Runhui Wang, Xiaokui Xiao, Zhewei Wei, Wenqing Lin, Yin Yang, Nan Tang:
Efficient Algorithms for Approximate Single-Source Personalized PageRank Queries. CoRR abs/1908.10583 (2019) - 2018
- [j12]Jingru Yang, Ju Fan, Zhewei Wei, Guoliang Li, Tongyu Liu, Xiaoyong Du:
Cost-Effective Data Annotation using Game-Based Crowdsourcing. Proc. VLDB Endow. 12(1): 57-70 (2018) - [j11]Zhewei Wei, Ke Yi:
Tight Space Bounds for Two-Dimensional Approximate Range Counting. ACM Trans. Algorithms 14(2): 23:1-23:17 (2018) - [j10]Chunbin Lin, Jiaheng Lu, Zhewei Wei, Jianguo Wang, Xiaokui Xiao:
Optimal algorithms for selecting top-k combinations of attributes: theory and applications. VLDB J. 27(1): 27-52 (2018) - [j9]Shuo Shang, Lisi Chen, Zhewei Wei, Christian S. Jensen, Kai Zheng, Panos Kalnis:
Parallel trajectory similarity joins in spatial networks. VLDB J. 27(3): 395-420 (2018) - [c14]Zhewei Wei, Xiaodong He, Xiaokui Xiao, Sibo Wang, Shuo Shang, Ji-Rong Wen:
TopPPR: Top-k Personalized PageRank Queries with Precision Guarantees on Large Graphs. SIGMOD Conference 2018: 441-456 - 2017
- [j8]Shuo Shang, Lisi Chen, Zhewei Wei, Christian S. Jensen, Kai Zheng, Panos Kalnis:
Trajectory Similarity Join in Spatial Networks. Proc. VLDB Endow. 10(11): 1178-1189 (2017) - [j7]Yu Liu, Bolong Zheng, Xiaodong He, Zhewei Wei, Xiaokui Xiao, Kai Zheng, Jiaheng Lu:
ProbeSim: Scalable Single-Source and Top-k SimRank Computations on Dynamic Graphs. Proc. VLDB Endow. 11(1): 14-26 (2017) - [c13]Peyman Afshani, Zhewei Wei:
Independent Range Sampling, Revisited. ESA 2017: 3:1-3:14 - [c12]Shuo Shang, Lisi Chen, Zhewei Wei, Christian S. Jensen, Ji-Rong Wen, Panos Kalnis:
Collective Travel Planning in Spatial Networks. ICDE 2017: 59-60 - [c11]Haida Zhang, Zengfeng Huang, Zhewei Wei, Wenjie Zhang, Xuemin Lin:
Tracking Matrix Approximation over Distributed Sliding Windows. ICDE 2017: 833-844 - [c10]Sibo Wang, Renchi Yang, Xiaokui Xiao, Zhewei Wei, Yin Yang:
FORA: Simple and Effective Approximate Single-Source Personalized PageRank. KDD 2017: 505-514 - [i4]Yu Liu, Bolong Zheng, Xiaodong He, Zhewei Wei, Xiaokui Xiao, Kai Zheng, Jiaheng Lu:
ProbeSim: Scalable Single-Source and Top-k SimRank Computations on Dynamic Graphs. CoRR abs/1709.06955 (2017) - 2016
- [j6]Shuo Shang, Lisi Chen, Zhewei Wei, Danhuai Guo, Ji-Rong Wen:
Dynamic Shortest Path Monitoring in Spatial Networks. J. Comput. Sci. Technol. 31(4): 637-648 (2016) - [j5]Shuo Shang, Lisi Chen, Zhewei Wei, Christian S. Jensen, Ji-Rong Wen, Panos Kalnis:
Collective Travel Planning in Spatial Networks. IEEE Trans. Knowl. Data Eng. 28(5): 1132-1146 (2016) - [c9]Shuo Shang, Zhewei Wei, Ji-Rong Wen, Shunzhi Zhu:
Probabilistic Nearest Neighbor Query in Traffic-Aware Spatial Networks. APWeb (1) 2016: 3-14 - [c8]Zhewei Wei, Xuancheng Liu, Feifei Li, Shuo Shang, Xiaoyong Du, Ji-Rong Wen:
Matrix Sketching Over Sliding Windows. SIGMOD Conference 2016: 1465-1480 - 2015
- [j4]Yu Liu, Jiaheng Lu, Hua Yang, Xiaokui Xiao, Zhewei Wei:
Towards Maximum Independent Sets on Massive Graphs. Proc. VLDB Endow. 8(13): 2122-2133 (2015) - [c7]Zhewei Wei, Ge Luo, Ke Yi, Xiaoyong Du, Ji-Rong Wen:
Persistent Data Sketching. SIGMOD Conference 2015: 795-810 - 2014
- [j3]Rasmus Pagh, Zhewei Wei, Ke Yi, Qin Zhang:
Cache-Oblivious Hashing. Algorithmica 69(4): 864-883 (2014) - [j2]Ke Yi, Lu Wang, Zhewei Wei:
Indexing for summary queries: Theory and practice. ACM Trans. Database Syst. 39(1): 2:1-2:39 (2014) - [c6]Zhewei Wei, Ke Yi:
Equivalence between Priority Queues and Sorting in External Memory. ESA 2014: 830-841 - 2013
- [j1]Pankaj K. Agarwal, Graham Cormode, Zengfeng Huang, Jeff M. Phillips, Zhewei Wei, Ke Yi:
Mergeable summaries. ACM Trans. Database Syst. 38(4): 26 (2013) - [c5]Zhewei Wei, Ke Yi:
The Space Complexity of 2-Dimensional Approximate Range Counting. SODA 2013: 252-264 - 2012
- [c4]Pankaj K. Agarwal, Graham Cormode, Zengfeng Huang, Jeff M. Phillips, Zhewei Wei, Ke Yi:
Mergeable summaries. PODS 2012: 23-34 - [i3]Zhewei Wei, Ke Yi:
The Space Complexity of 2-Dimensional Approximate Range Counting. CoRR abs/1207.4382 (2012) - [i2]Zhewei Wei, Ke Yi:
Equivalence between Priority Queues and Sorting in External Memory. CoRR abs/1207.4383 (2012) - 2011
- [c3]Zhewei Wei, Ke Yi:
Beyond simple aggregates: indexing for summary queries. PODS 2011: 117-128 - 2010
- [c2]Rasmus Pagh, Zhewei Wei, Ke Yi, Qin Zhang:
Cache-oblivious hashing. PODS 2010: 297-304
2000 – 2009
Coauthor Index
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