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Estimating Single-Node PageRank in O(min{d_t, sqrt{m}}) Time Hanzhi Wang, Zhewei Wei* VLDB2023 (CCF A)
MGNN: Graph Neural Networks Inspired by Distance Geometry Problem Guanyu Cui, Zhewei Wei* KDD2023 (CCF A)
Optimal Dynamic Subset Sampling: Theory and Applications Lu Yi, Hanzhi Wang, Zhewei Wei* KDD2023 (CCF A)
Clenshaw Graph Neural Networks Yuhe Guo, Zhewei Wei* KDD2023 (CCF A)
Graph Neural Networks with Learnable and Optimal Polynomial Bases Yuhe Guo, Zhewei Wei* ICML2023 (CCF A)
On Range Summary Queries Peyman Afshani, Pingan Cheng, Aniket Basu Roy, Zhewei Wei ICALP 2023 (CCF B)
Decoupled Graph Neural Networks for Large Dynamic Graphs Yanping Zheng, Zhewei Wei*, Jiajun Liu VLDB2023 (CCF A)
A Universal 3D Molecular Representation Learning Framework Gengmo Zhou, Zhifeng Gao, Qiankun Ding, Hang Zheng, Hongteng Xu, Zhewei Wei, Linfeng Zhang, Guolin Ke ICLR2023
Approximating Probabilistic Group Steiner Trees in Graphs Shuang Yang, Jiesong Liu, Yahui Sun, Xiaokui Xiao, Ronghua Li, Zhewei Wei VLDB2023 (CCF A)
Personalized PageRank on Evolving Graphs with an Incremental Index-Update Scheme Guanhao Hou, Qintian Guo, Fangyuan ZHANG, Sibo Wang, Zhewei Wei SIGMOD2023 (CCF A)
2022
EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks Runlin Lei, Zhen WANG, Yaliang Li, Bolin Ding, Zhewei Wei* NeurIPS2022 (CCF A)
Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited Mingguo He, Zhewei Wei*, Ji-Rong Wen NeurIPS2022 (Oral, CCF A)
Predicting Protein-Ligand Binding Affinity via Joint Global-Local Interaction Modeling Yang Zhang, Gengmo Zhou, Zhewei Wei*, Hongteng Xu, and Ji-Rong wen, ICDM22 (CCF B)
MGMAE: Molecular Representation Learning by Reconstructing Heterogeneous Graphs with A High Mask Ratio Jinjia Feng, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei* and Hongteng Xu CIKM2022 (CCF B)
Optimizing Random Access to Hierarchically-Compressed Data on GPU Feng Zhang, Yihua Hu, Haipeng Ding, Zhiming Yao, Zhewei Wei, Xiao Zhang, Xiaoyong Du
Sampling-based estimation of the number of distinct values in distributed environment Jiajun Li, Zhewei Wei*, Bolin Ding, Xiening Dai, Lu Lu, Jingren Zhou SIGKDD2022 (CCF A)
Graph Neural Networks with Node-wise Architecture Zhen Wang, Yaliang Li, Zhewei Wei, Weirui Kuang, Bolin Ding SIGKDD2022 (CCF A)
Instant Graph Neural Networks for Dynamic Graphs Yanping Zheng, Hanzhi Wang, Zhewei Wei*, Jiajun Liu, Sibo Wang SIGKDD2022 (CCF A)
Influence Maximization Revisited: Efficient Sampling with Bound Tightened Qintian Guo, Sibo Wang, Zhewei Wei, Wenqing Lin, Jing Tang. ACM Transactions on Database Systems (TODS) (CCF A)
Persistent Summaries Tianjing Zeng, Zhewe Wei*, Ge Luo, Ke Yi, Xiaoyong Du, Ji-Rong Wen ACM Transactions on Database Systems (TODS) (CCF A)
Edge-based Local Push for Personalized PageRank Hanzhi Wang, Zhewei Wei*, Junhao Gan, Ye Yuan, Xiaoyong Du, Ji-Rong Wen VLDB2022 (CCF A)
Learning to be a Statistician: Learned Estimator for Number of Distinct Values Renzhi Wu, Bolin Ding, Xu Chu, Zhewei Wei, Xiening Dai, Tao Guan, Jingren Zhou VLDB2022 (CCF A)
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation Mingguo He, Zhewei Wei*, Zengfeng Huang, Hongteng Xu* NeurIPS2021 (CCF A)
Approximate Graph Propagation Hanzhi Wang, Mingguo He, Zhewei Wei*, Sibo Wang, Ye Yuan, Xiaoyong Du, Ji-Rong Wen KDD2021 (CCF A)
Graph Neural Networks Inspired by Classical Iterative Algorithms Yongyi Yang, Tang Liu, Yangkun Wang, Jinjing Zhou, Quan Gan, Zhewei Wei, Zheng Zhang, Zengfeng Huang, David Wipf ICML2021 (CCF A)
Building Graphs at Scale via Sequence of Edges: Model and Generation Algorithms Yu Liu, Lei Zou, Zhewei Wei TKDE 2021 (CCF A)
Massively Parallel Algorithms for Personalized PageRank Guanhao Hou, Xingguang Chen, Sibo Wang*, Zhewei Wei* Proc. VLDB Endow. 14, 2021 (CCF A)
ExactSim: Benchmarking Single-Source SimRank Algorithmswith High-Precision Ground Truths Hanzhi Wang, Zhewei Wei*, Yu Liu, Ye Yuan, Xiaoyong Du, Ji-Rong Wen VLDB Journal, 2021 (CCF A)
Unifying the Global and Local Approaches: An Efficient Power Iteration with Forward Push Hao Wu, Junhao Gan, Zhewei Wei*, Rui Zhang SIGMOD2021 (CCF A)
FlashP: An Analytical Pipeline for Real-time Forecasting of Time-Series Relational Data Shuyuan Yan, Bolin Ding, Wei Guo, Jingren Zhou, Zhewei Wei, Xiaowei Jiang, Sheng Xu Proc. VLDB Endow. 14(5): 721-729 (2021) (CCF A)
A Game-based Framework for Crowdsourced Data Labeling Jingru Yang, Ju Fan, Zhewei Wei, Guoliang Li, Tongyu Liu, Xiaoyong Du VLDB J. 29(6): 1311-1336 (2020) (CCF A)
Scalable Graph Neural Networks via Bidirectional Propagation Ming Chen, Zhewei Wei*, Bolin Ding, Yaliang Li, Ye Yuan, Xiaoyong Du, Ji-Rong Wen NeurIPS 2020 (CCF A)
SimTab: Accuracy-Guaranteed SimRank Queries through Tighter Confidence Bounds and Multi-Armed Bandits Yu Liu, Lei Zou, Qian Ge, Zhewei Wei* Proc. VLDB Endow. 13(11): 2202-2214 (2020) (CCF A)
Simple and Deep Graph Convolutional Networks Ming Chen, Zhewei Wei*, Zengfeng Huang, Bolin Ding, Yaliang Li ICML 2020: 1725-1735 (CCF A)
Personalized PageRank to a Target Node, Revisited Hanzhi Wang, Zhewei Wei*, Junhao Gan, Sibo Wang, Zengfeng Huang KDD 2020: 657-667 (CCF A)
Influence Maximization Revisited: Efficient Reverse Reachable Set Generation with Bound Tightened Qintian Guo, Sibo Wang, Zhewei Wei*, Ming Chen SIGMOD Conference 2020 (CCF A): 2167-2181
Exact Single-Source SimRank Computation on Large Graphs Hanzhi Wang, Zhewei Wei*, Ye Yuan, Xiaoyong Du, Ji-Rong Wen SIGMOD Conference 2020 (CCF A): 653-66
CrowdGame: A Game-Based Crowdsourcing System for Cost-Effective Data Labeling Tongyu Liu, Jingru Yang, Ju Fan, Zhewei Wei, Guoliang Li, Xiaoyong Du SIGMOD Conference 2019: 1957-1960 (CCF A)
Efficient Algorithms for Approximate Single-Source Personalized PageRank Queries Sibo Wang, Renchi Yang, Runhui Wang, Xiaokui Xiao, Zhewei Wei*, Wenqin Lin, Yin Yang and Nan Tang ACM TODS, 44(4): 18:1-18:37 (2019) (CCF A)
Scalable Graph Embeddings via Sparse Transpose Proximities Yuan Yin and Zhewei Wei* SIGKDD 2019: 1429-1437, ORAL. (CCF A)
Efficient Estimation of Heat Kernel PageRank for Local Clustering Renchi Yang, Xiaokui Xiao, Zhewei Wei, Sourav S. Bhowmick, Jun Zhao, Rong-Hua Li SIGMOD Conference 2019: 1339-1356 (CCF A)
PRSim: Sublinear Time SimRank Computation on Large Power-Law Graphs Zhewei Wei, Xiaodong He, Sibo Wang, Yu Liu, Xiaoyong Du, Ji-Rong Wen. SIGMOD Conference 2019: 1042-1059 (CCF A)
Parallel Trajectory-to-Location Join Shuo Shang, Lisi Chen, Kai Zheng, Christian S. Jensen, Zhewei Wei, Panos Kalnis IEEE Trans. Knowl. Data Eng. 31(6): 1194-1207 (2019) (CCF A)
Distribution-Aware Crowdsourced Entity Collection Ju Fan, Zhewei Wei, Dongxiang Zhang, Jingru Yang and Xiaoyong Du IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019. (CCF A)
Tight Space Bounds for Two-Dimensional Approximate Range Counting Zhewei Wei; Ke Yi ACM TALG, 2018, 14(2): 1-17. (CCF B)
Optimal Algorithms for Selecting Top-k Combinations of Attributes: Theory and Applications Chunbin Lin, Jiaheng Lu, Zhewei Wei, Jianguo Wang, Xiaokui Xiao VLDB J. 27(1): 27-52 (2018) (CCF A)
Parallel Trajectory Similarity Joins in Spatial Networks Shuo Shang, Lisi Chen, Zhewei Wei, Christian S. Jensen, Kai Zheng, Panos Kalnis VLDB J. 27(3): 395-420 (2018) (CCF A)
Cost-Effective Data Annotation using Game-Based Crowdsourcing Jingru Yang, Ju Fan, Zhewei Wei, Guoliang Li, Tongyu Liu, Xiaoyong Du PVLDB 12(1): 57-70 (2018) (CCF A)
Top-k Personalized PageRank Queries with Precision Guarantees on Large Graphs Zhewei Wei, Xiaodong He, Xiaokui Xiao, Sibo Wang, Shuo Shang, Ji-Rong Wen SIGMOD Conference 2018: 441-45 (CCF A)
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