Zhewei Wei

206 papers A* 44A 10B 3Misc 1Journal 127Unranked 21
YearRankTypeTitle / Venue / Authors
2026 J jnl
AbFlow : End-to-end Paratope-Centric Antibody Design by Interaction Enhanced Flow Matching.
CoRR
Wenda Wang, Yang Zhang, Zhewei Wei, Wenbing Huang
2026 — conf
AbFlow: End-to-end Paratope-Centric Antibody Design by Interaction Enhanced Flow Matching.
KDD (1)
Wenda Wang, Yang Zhang, Zhewei Wei, Wenbing Huang
2026 J jnl
AeroSketch: Near-Optimal Time Matrix Sketch Framework for Persistent, Sliding Window, and Distributed Streams.
CoRR
Hanyan Yin, Dongxie Wen, Jiajun Li, Zhewei Wei, Xiao Zhang, Peng Zhao, Zhi-Hua Zhou
2026 J jnl
FuseDiff: Symmetry-Preserving Joint Diffusion for Dual-Target Structure-Based Drug Design.
CoRR
Jianliang Wu, Anjie Qiao, Zhen Wang, Zhewei Wei, Sheng Chen
2026 J jnl
Lamba: A pretrained model for latency prediction over distributed databases.
VLDB J.
Yingli Zhou, Tianjing Zeng, Rong Zhu, Yingze Li, Junwei Lan, Zhewei Wei, Yixiang Fang, Bolin Ding, Jingren Zhou
2026 J jnl
Large Language Model-Enhanced Relational Operators: Taxonomy, Benchmark, and Analysis.
CoRR
Yunxiang Su, Tianjing Zeng, Zhongjun Ding, Yin Lin, Rong Zhu, Zhewei Wei, Bolin Ding, Jingren Zhou
2026 A conf
On Solving Asymmetric Diagonally Dominant Linear Systems in Sublinear Time.
ITCS
Tsz Chiu Kwok, Zhewei Wei, Mingji Yang
2026 A* conf
PageRank Centrality in Directed Graphs with Bounded In-Degree.
SODA
Mikkel Thorup, Hanzhi Wang, Zhewei Wei, Mingji Yang
2026 J jnl
Restricted Black-Box Attack on Graphs Beyond Homophily.
IEEE Trans. Knowl. Data Eng.
Runlin Lei, Haipeng Ding, Zhewei Wei
2025 — conf
A Novel Historical-Meteorology-Informed Approach for One-Week Air Quality Forecasting.
ADMA (1)
Xiang Li, Huihui Zheng, Zhewei Wei
2025 J jnl
A survey of dynamic graph neural networks.
Frontiers Comput. Sci.
Yanping Zheng, Lu Yi, Zhewei Wei
2025 J jnl
A survey of estimating number of distinct values.
Frontiers Comput. Sci.
Jiajun Li, Runlin Lei, Zhewei Wei
2025 J jnl
A survey of geometric graph neural networks: data structures, models and applications.
Frontiers Comput. Sci.
Jiaqi Han, Jiacheng Cen, Liming Wu, Zongzhao Li, Xiangzhe Kong, Rui Jiao, Ziyang Yu, Tingyang Xu, Fandi Wu, Zihe Wang, Hongteng Xu, Zhewei Wei, Deli Zhao, Yang Liu, Yu Rong, Wenbing Huang
2025 A* conf
Advancing Retrosynthesis with Retrieval-Augmented Graph Generation.
AAAI
Anjie Qiao, Zhen Wang, Jiahua Rao, Yuedong Yang, Zhewei Wei
2025 J jnl
Beyond Leakage and Complexity: Towards Realistic and Efficient Information Cascade Prediction.
CoRR
Jie Peng, Rui Wang, Qiang Wang, Zhewei Wei, Bin Tong, Guan Wang
2025 A* conf
Dimension-Free Adaptive Subgradient Methods with Frequent Directions.
ICML
Sifan Yang, Yuanyu Wan, Peijia Li, Yibo Wang, Xiao Zhang, Zhewei Wei, Lijun Zhang
2025 A* conf
Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative Decoding.
SIGIR
Yunjia Xi, Hangyu Wang, Bo Chen, Jianghao Lin, Menghui Zhu, Weiwen Liu, Ruiming Tang, Zhewei Wei, Weinan Zhang, Yong Yu
2025 J jnl
Exploring the Potential of Large Language Models as Predictors in Dynamic Text-Attributed Graphs.
CoRR
Runlin Lei, Jiarui Ji, Haipeng Ding, Lu Yi, Zhewei Wei, Yongchao Liu, Chuntao Hong
2025 A* conf
Fast Second-Order Online Kernel Learning Through Incremental Matrix Sketching and Decomposition.
IJCAI
Dongxie Wen, Xiao Zhang, Zhewei Wei, Chenping Hou, Shuai Li, Weinan Zhang
2025 J jnl
Fused Gromov-Wasserstein Contrastive Learning for Effective Enzyme-Reaction Screening.
CoRR
Gengmo Zhou, Feng Yu, Wenda Wang, Zhifeng Gao, Guolin Ke, Zhewei Wei, Zhen Wang
2025 J jnl
Future Link Prediction Without Memory or Aggregation.
CoRR
Lu Yi, Runlin Lei, Fengran Mo, Yanping Zheng, Zhewei Wei, Yuhang Ye
2025 J jnl
GDGB: A Benchmark for Generative Dynamic Text-Attributed Graph Learning.
CoRR
Jie Peng, Jiarui Ji, Runlin Lei, Zhewei Wei, Yongchao Liu, Chuntao Hong
2025 J jnl
GRAPHIA: Harnessing Social Graph Data to Enhance LLM-Based Social Simulation.
CoRR
Jiarui Ji, Zehua Zhang, Zhewei Wei, Bin Tong, Guan Wang, Bo Zheng
2025 — conf
LLM-Based Multi-Agent Systems are Scalable Graph Generative Models.
ACL (Findings)
Jiarui Ji, Runlin Lei, Jialing Bi, Zhewei Wei, Xu Chen, Yankai Lin, Xuchen Pan, Yaliang Li, Bolin Ding
2025 — conf
Large-Scale Spectral Graph Neural Networks via Laplacian Sparsification.
KDD (1)
Haipeng Ding, Zhewei Wei, Yuhang Ye
2025 J jnl
Large-Scale Spectral Graph Neural Networks via Laplacian Sparsification: Technical Report.
CoRR
Haipeng Ding, Zhewei Wei, Yuhang Ye
2025 J jnl
Leveraging LLM-based agents for social science research: insights from citation network simulations.
CoRR
Jiarui Ji, Runlin Lei, Xuchen Pan, Zhewei Wei, Hao Sun, Yankai Lin, Xu Chen, Yongzheng Yang, Yaliang Li, Bolin Ding, Ji-Rong Wen
2025 J jnl
Lighter-X: An Efficient and Plug-and-play Strategy for Graph-based Recommendation through Decoupled Propagation.
CoRR
Yanping Zheng, Zhewei Wei, Frank De Hoo, Xu Chen, Hongteng Xu, Yuhang Ye, Jiadeng Huang
2025 J jnl
Lighter-X: An Efficient and Plug-and-play Strategy for Graph-based Recommendation through Decoupled Propagation.
Proc. VLDB Endow.
Yanping Zheng, Zhewei Wei, Frank De Hoo, Xu Chen, Hongteng Xu, Yuhang Ye, Jiadeng Huang
2025 B conf
Long-term Spatio-Temporal Forecasting using Spectral Graph Neural Networks.
IJCNN
Xiang Li, Yanping Zheng, Zhewei Wei, Ye Yuan
2025 — conf
Mixing Time Matters: Accelerating Effective Resistance Estimation via Bidirectional Method.
KDD (1)
Guanyu Cui, Hanzhi Wang, Zhewei Wei
2025 J jnl
Mixing Time Matters: Accelerating Effective Resistance Estimation via Bidirectional Method.
CoRR
Guanyu Cui, Hanzhi Wang, Zhewei Wei
2025 J jnl
NeutronTask: Scalable and Efficient Multi-GPU GNN Training with Task Parallelism.
Proc. VLDB Endow.
Zhenbo Fu, Xin Ai, Qiange Wang, Yanfeng Zhang, Shizhan Lu, Chaoyi Chen, Chunyu Cao, Hao Yuan, Zhewei Wei, Yu Gu, Yingyou Wen, Ge Yu
2025 J jnl
On Solving Asymmetric Diagonally Dominant Linear Systems in Sublinear Time.
CoRR
Tsz Chiu Kwok, Zhewei Wei, Mingji Yang
2025 J jnl
PageRank Centrality in Directed Graphs with Bounded In-Degree.
CoRR
Mikkel Thorup, Hanzhi Wang, Zhewei Wei, Mingji Yang
2025 — conf
Position: Spectral GNNs Rely Less on Graph Fourier Basis than Conceived.
ICML (Position Papers)
Yuhe Guo, Huayi Tang, Jiahong Ma, Hongteng Xu, Zhewei Wei
2025 J jnl
ReDiSC: A Reparameterized Masked Diffusion Model for Scalable Node Classification with Structured Predictions.
CoRR
Yule Li, Yifeng Lu, Zhen Wang, Zhewei Wei, Yaliang Li, Bolin Ding
2025 J jnl
Rethinking Link Prediction for Directed Graphs.
CoRR
Mingguo He, Yuhe Guo, Yanping Zheng, Zhewei Wei, Stephan Günnemann, Xiaokui Xiao
2025 J jnl
Rethinking and Benchmarking Large Language Models for Graph Reasoning.
CoRR
Yuwei Hu, Xinyi Huang, Zhewei Wei, Yongchao Liu, Chuntao Hong
2025 J jnl
Robustness in Text-Attributed Graph Learning: Insights, Trade-offs, and New Defenses.
CoRR
Runlin Lei, Lu Yi, Mingguo He, Pengyu Qiu, Zhewei Wei, Yongchao Liu, Chuntao Hong
2025 B conf
SAMAG: Structure-Aware Multi-Agent Graph Generation with Large Language Models.
IEEE Big Data
Jingcheng Cen, Jiarui Ji, Zhen Wang, Zhewei Wei, Yaliang Li, Bolin Ding
2025 A* conf
Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier.
ICLR
Lu Yi, Zhewei Wei
2025 J jnl
Scalable and Effective Graph Neural Networks via Trainable Random Walk Sampling.
IEEE Trans. Knowl. Data Eng.
Haipeng Ding, Zhewei Wei, Yuhang Ye
2025 A* conf
Simple and Optimal Algorithms for Heavy Hitters and Frequency Moments in Distributed Models.
STOC
Zengfeng Huang, Zhongzheng Xiong, Xiaoyi Zhu, Zhewei Wei
2025 J jnl
Simple and Optimal Algorithms for Heavy Hitters and Frequency Moments in Distributed Models.
CoRR
Zengfeng Huang, Zhongzheng Xiong, Xiaoyi Zhu, Zhewei Wei
2025 A* conf
TGB-Seq Benchmark: Challenging Temporal GNNs with Complex Sequential Dynamics.
ICLR
Lu Yi, Jie Peng, Yanping Zheng, Fengran Mo, Zhewei Wei, Yuhang Ye, Yue Zixuan, Zengfeng Huang
2025 J jnl
TGB-Seq Benchmark: Challenging Temporal GNNs with Complex Sequential Dynamics.
CoRR
Lu Yi, Jie Peng, Yanping Zheng, Fengran Mo, Zhewei Wei, Yuhang Ye, Yue Zixuan, Zengfeng Huang
2025 — conf
TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer.
KDD (2)
Jie Peng, Zhewei Wei, Yuhang Ye
2025 J jnl
TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer.
CoRR
Jie Peng, Zhewei Wei, Yuhang Ye
2025 — conf
Towards Effective and Efficient Continual Pre-training of Large Language Models.
ACL (1)
Jie Chen, Zhipeng Chen, Jiapeng Wang, Kun Zhou, Yutao Zhu, Jinhao Jiang, Yingqian Min, 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
2024 J jnl
A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications.
CoRR
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
2024 J jnl
A survey of dynamic graph neural networks.
CoRR
Yanping Zheng, Lu Yi, Zhewei Wei
2024 J jnl
A survey on large language model based autonomous agents.
Frontiers Comput. Sci.
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
2024 A conf
Approximating Single-Source Personalized PageRank with Absolute Error Guarantees.
ICDT
Zhewei Wei, Ji-Rong Wen, Mingji Yang
2024 J jnl
Approximating Single-Source Personalized PageRank with Absolute Error Guarantees.
CoRR
Zhewei Wei, Ji-Rong Wen, Mingji Yang
2024 A conf
Beyond Over-smoothing: Uncovering the Trainability Challenges in Deep Graph Neural Networks.
CIKM
Jie Peng, Runlin Lei, Zhewei Wei
2024 J jnl
Beyond Over-smoothing: Uncovering the Trainability Challenges in Deep Graph Neural Networks.
CoRR
Jie Peng, Runlin Lei, Zhewei Wei
2024 J jnl
Dynamic and Textual Graph Generation Via Large-Scale LLM-based Agent Simulation.
CoRR
Jiarui Ji, Runlin Lei, Jialing Bi, Zhewei Wei, Yankai Lin, Xuchen Pan, Yaliang Li, Bolin Ding
2024 J jnl
Efficient Algorithms for Personalized PageRank Computation: A Survey.
CoRR
Mingji Yang, Hanzhi Wang, Zhewei Wei, Sibo Wang, Ji-Rong Wen
2024 J jnl
Efficient Algorithms for Personalized PageRank Computation: A Survey.
IEEE Trans. Knowl. Data Eng.
Mingji Yang, Hanzhi Wang, Zhewei Wei, Sibo Wang, Ji-Rong Wen
2024 A* conf
EquiPocket: an E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction.
ICML
Yang Zhang, Zhewei Wei, Ye Yuan, Chongxuan Li, Wenbing Huang
2024 A* conf
Exploring Neural Scaling Law and Data Pruning Methods For Node Classification on Large-scale Graphs.
WWW
Zhen Wang, Yaliang Li, Bolin Ding, Yule Li, Zhewei Wei
2024 J jnl
Fast Second-Order Online Kernel Learning through Incremental Matrix Sketching and Decomposition.
CoRR
Dongxie Wen, Xiao Zhang, Zhewei Wei
2024 A conf
Federated Heterogeneous Contrastive Distillation for Molecular Representation Learning.
CIKM
Jinjia Feng, Zhen Wang, Zhewei Wei, Yaliang Li, Bolin Ding, Hongteng Xu
2024 A conf
GTP-ViT: Efficient Vision Transformers via Graph-based Token Propagation.
WACV
Xuwei Xu, Sen Wang, Yudong Chen, Yanping Zheng, Zhewei Wei, Jiajun Liu
2024 — conf
HierAffinity: Predicting Protein-Ligand Binding Affinity With Hierarchical Modeling.
DASFAA (7)
Yang Zhang, Zhewei Wei, Wenbing Huang, Chongxuan Li
2024 J jnl
Index-free triangle-based graph local clustering.
Frontiers Comput. Sci.
Zhe Yuan, Zhewei Wei, Fangrui Lv, Ji-Rong Wen
2024 A* conf
Intruding with Words: Towards Understanding Graph Injection Attacks at the Text Level.
NeurIPS
Runlin Lei, Yuwei Hu, Yuchen Ren, Zhewei Wei
2024 J jnl
Intruding with Words: Towards Understanding Graph Injection Attacks at the Text Level.
CoRR
Runlin Lei, Yuwei Hu, Yuchen Ren, Zhewei Wei
2024 J jnl
Learning-based Property Estimation with Polynomials.
Proc. ACM Manag. Data
Jiajun Li, Runlin Lei, Sibo Wang, Zhewei Wei, Bolin Ding
2024 J jnl
Matrix Sketching in Bandits: Current Pitfalls and New Framework.
CoRR
Dongxie Wen, Hanyan Yin, Xiao Zhang, Zhewei Wei
2024 J jnl
Optimal Matrix Sketching over Sliding Windows.
CoRR
Hanyan Yin, Dongxie Wen, Jiajun Li, Zhewei Wei, Xiao Zhang, Zengfeng Huang, Feifei Li
2024 J jnl
Optimal Matrix Sketching over Sliding Windows.
Proc. VLDB Endow.
Hanyan Yin, Dongxie Wen, Jiajun Li, Zhewei Wei, Xiao Zhang, Zengfeng Huang, Feifei Li
2024 J jnl
PRICE: A Pretrained Model for Cross-Database Cardinality Estimation.
CoRR
Tianjing Zeng, Junwei Lan, Jiahong Ma, Wenqing Wei, Rong Zhu, Pengfei Li, Bolin Ding, Defu Lian, Zhewei Wei, Jingren Zhou
2024 J jnl
PRICE: A Pretrained Model for Cross-Database Cardinality Estimation.
Proc. VLDB Endow.
Tianjing Zeng, Junwei Lan, Jiahong Ma, Wenqing Wei, Rong Zhu, Pengfei Li, Bolin Ding, Defu Lian, Zhewei Wei, Jingren Zhou
2024 A* conf
PolyFormer: Scalable Node-wise Filters via Polynomial Graph Transformer.
KDD
Jiahong Ma, Mingguo He, Zhewei Wei
2024 J jnl
PolyFormer: Scalable Node-wise Filters via Polynomial Graph Transformer.
CoRR
Jiahong Ma, Mingguo He, Zhewei Wei
2024 A* conf
PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable Spectral Polynomial Filters.
ICLR
Jingyu Chen, Runlin Lei, Zhewei Wei
2024 J jnl
Rethinking the Expressiveness of GNNs: A Computational Model Perspective.
CoRR
Guanyu Cui, Zhewei Wei, Hsin-Hao Su
2024 A* conf
Revisiting Local Computation of PageRank: Simple and Optimal.
STOC
Hanzhi Wang, Zhewei Wei, Ji-Rong Wen, Mingji Yang
2024 J jnl
Revisiting Local Computation of PageRank: Simple and Optimal.
CoRR
Hanzhi Wang, Zhewei Wei, Ji-Rong Wen, Mingji Yang
2024 A* conf
S-MolSearch: 3D Semi-supervised Contrastive Learning for Bioactive Molecule Search.
NeurIPS
Gengmo Zhou, Zhen Wang, Feng Yu, Guolin Ke, Zhewei Wei, Zhifeng Gao
2024 J jnl
S-MolSearch: 3D Semi-supervised Contrastive Learning for Bioactive Molecule Search.
CoRR
Gengmo Zhou, Zhen Wang, Feng Yu, Guolin Ke, Zhewei Wei, Zhifeng Gao
2024 — conf
SRAP-Agent: Simulating and Optimizing Scarce Resource Allocation Policy with LLM-based Agent.
EMNLP (Findings)
Jiarui Ji, Yang Li, Hongtao Liu, Zhicheng Du, Zhewei Wei, Qi Qi, Weiran Shen, Yankai Lin
2024 J jnl
SRAP-Agent: Simulating and Optimizing Scarce Resource Allocation Policy with LLM-based Agent.
CoRR
Jiarui Ji, Yang Li, Hongtao Liu, Zhicheng Du, Zhewei Wei, Weiran Shen, Qi Qi, Yankai Lin
2024 J jnl
Scalable and Accurate Graph Reasoning with LLM-based Multi-Agents.
CoRR
Yuwei Hu, Runlin Lei, Xinyi Huang, Zhewei Wei, Yongchao Liu
2024 J jnl
Scalable and Certifiable Graph Unlearning via Lazy Local Propagation.
CoRR
Lu Yi, Zhewei Wei
2024 A* conf
Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials.
WWW
Mingguo He, Zhewei Wei, Shikun Feng, Zhengjie Huang, Weibin Li, Yu Sun, Dianhai Yu
2024 J jnl
Towards Effective and Efficient Continual Pre-training of Large Language Models.
CoRR
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
2024 — conf
TransPocket: Structural and Geometric Transformer for Ligand Binding Site Detection.
DASFAA (7)
Yang Zhang, Zhewei Wei, Wenbing Huang, Chongxuan Li
2024 J jnl
Very Large-Scale Multi-Agent Simulation in AgentScope.
CoRR
Xuchen Pan, Dawei Gao, Yuexiang Xie, Zhewei Wei, Yaliang Li, Bolin Ding, Ji-Rong Wen, Jingren Zhou
2024 J jnl
When Transformer Meets Large Graphs: An Expressive and Efficient Two-View Architecture.
IEEE Trans. Knowl. Data Eng.
Weirui Kuang, Zhen Wang, Zhewei Wei, Yaliang Li, Bolin Ding
2024 J jnl
YuLan: An Open-source Large Language Model.
CoRR
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
2023 J jnl
A Survey on Large Language Model based Autonomous Agents.
CoRR
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
2023 A* conf
Clenshaw Graph Neural Networks.
KDD
Yuhe Guo, Zhewei Wei
2023 J jnl
Decoupled Graph Neural Networks for Large Dynamic Graphs.
CoRR
Yanping Zheng, Zhewei Wei, Jiajun Liu
2023 J jnl
Decoupled Graph Neural Networks for Large Dynamic Graphs.
Proc. VLDB Endow.
Yanping Zheng, Zhewei Wei, Jiajun Liu
2023 J jnl
Do Deep Learning Methods Really Perform Better in Molecular Conformation Generation?
CoRR
Gengmo Zhou, Zhifeng Gao, Zhewei Wei, Hang Zheng, Guolin Ke
2023 J jnl
Enabling Efficient Random Access to Hierarchically Compressed Text Data on Diverse GPU Platforms.
IEEE Trans. Parallel Distributed Syst.
Yihua Hu, Feng Zhang, Yifei Xia, Zhiming Yao, Letian Zeng, Haipeng Ding, Zhewei Wei, Xiao Zhang, Jidong Zhai, Xiaoyong Du, Siqi Ma
2023 J jnl
EquiPocket: an E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction.
CoRR
Yang Zhang, Wenbing Huang, Zhewei Wei, Ye Yuan, Zhaohan Ding
2023 J jnl
Estimating Single-Node PageRank in Õ(min{d
CoRR
Hanzhi Wang, Zhewei Wei
2023 J jnl
GTP-ViT: Efficient Vision Transformers via Graph-based Token Propagation.
CoRR
Xuwei Xu, Sen Wang, Yudong Chen, Yanping Zheng, Zhewei Wei, Jiajun Liu
2023 A* conf
Graph Neural Networks with Learnable and Optimal Polynomial Bases.
ICML
Yuhe Guo, Zhewei Wei
2023 J jnl
Graph Neural Networks with Learnable and Optimal Polynomial Bases.
CoRR
Yuhe Guo, Zhewei Wei
2023 J jnl
LON-GNN: Spectral GNNs with Learnable Orthonormal Basis.
CoRR
Qian Tao, Zhen Wang, Wenyuan Yu, Yaliang Li, Zhewei Wei
2023 A* conf
MGNN: Graph Neural Networks Inspired by Distance Geometry Problem.
KDD
Guanyu Cui, Zhewei Wei
2023 A* conf
On Range Summary Queries.
ICALP
Peyman Afshani, Pingan Cheng, Aniket Basu Roy, Zhewei Wei
2023 J jnl
On Range Summary Queries.
CoRR
Peyman Afshani, Pingan Cheng, Aniket Basu Roy, Zhewei Wei
2023 A* conf
Optimal Dynamic Subset Sampling: Theory and Applications.
KDD
Lu Yi, Hanzhi Wang, Zhewei Wei
2023 J jnl
Optimal Dynamic Subset Sampling: Theory and Applications.
CoRR
Lu Yi, Hanzhi Wang, Zhewei Wei
2023 J jnl
Personalized PageRank on Evolving Graphs with an Incremental Index-Update Scheme.
Proc. ACM Manag. Data
Guanhao Hou, Qintian Guo, Fangyuan Zhang, Sibo Wang, Zhewei Wei
2023 Misc conf
Preformer: Predictive Transformer with Multi-Scale Segment-Wise Correlations for Long-Term Time Series Forecasting.
ICASSP
Dazhao Du, Bing Su, Zhewei Wei
2023 J jnl
Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials.
CoRR
Mingguo He, Zhewei Wei, Shikun Feng, Zhengjie Huang, Weibin Li, Yu Sun, Dianhai Yu
2023 A* conf
Uni-Mol: A Universal 3D Molecular Representation Learning Framework.
ICLR
Gengmo Zhou, Zhifeng Gao, Qiankun Ding, Hang Zheng, Hongteng Xu, Zhewei Wei, Linfeng Zhang, Guolin Ke
2022 J jnl
Approximating Probabilistic Group Steiner Trees in Graphs.
Proc. VLDB Endow.
Shuang Yang, Yahui Sun, Jiesong Liu, Xiaokui Xiao, Rong-Hua Li, Zhewei Wei
2022 A* conf
Building Graphs at Scale via Sequence of Edges: Model and Generation Algorithms (Extended Abstract).
ICDE
Yu Liu, Lei Zou, Zhewei Wei
2022 J jnl
Building Graphs at Scale via Sequence of Edges: Model and Generation Algorithms.
IEEE Trans. Knowl. Data Eng.
Yu Liu, Lei Zou, Zhewei Wei
2022 J jnl
Clenshaw Graph Neural Networks.
CoRR
Yuhe Guo, Zhewei Wei
2022 A* conf
Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited.
NeurIPS
Mingguo He, Zhewei Wei, Ji-Rong Wen
2022 J jnl
Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited.
CoRR
Mingguo He, Zhewei Wei, Ji-Rong Wen
2022 J jnl
Edge-based Local Push for Personalized PageRank.
CoRR
Hanzhi Wang, Zhewei Wei, Junhao Gan, Ye Yuan, Xiaoyong Du, Ji-Rong Wen
2022 J jnl
Edge-based Local Push for Personalized PageRank.
Proc. VLDB Endow.
Hanzhi Wang, Zhewei Wei, Junhao Gan, Ye Yuan, Xiaoyong Du, Ji-Rong Wen
2022 A* conf
EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks.
NeurIPS
Runlin Lei, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei
2022 J jnl
EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks.
CoRR
Runlin Lei, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei
2022 J jnl
GSN: A Universal Graph Neural Network Inspired by Spring Network.
CoRR
Guanyu Cui, Zhewei Wei
2022 A* conf
Graph Neural Networks with Node-wise Architecture.
KDD
Zhen Wang, Zhewei Wei, Yaliang Li, Weirui Kuang, Bolin Ding
2022 J jnl
Influence Maximization Revisited: Efficient Sampling with Bound Tightened.
ACM Trans. Database Syst.
Qintian Guo, Sibo Wang, Zhewei Wei, Wenqing Lin, Jing Tang
2022 A* conf
Instant Graph Neural Networks for Dynamic Graphs.
KDD
Yanping Zheng, Hanzhi Wang, Zhewei Wei, Jiajun Liu, Sibo Wang
2022 J jnl
Instant Graph Neural Networks for Dynamic Graphs.
CoRR
Yanping Zheng, Hanzhi Wang, Zhewei Wei, Jiajun Liu, Sibo Wang
2022 J jnl
Learning to be a Statistician: Learned Estimator for Number of Distinct Values.
CoRR
Renzhi Wu, Bolin Ding, Xu Chu, Zhewei Wei, Xiening Dai, Tao Guan, Jingren Zhou
2022 A conf
MGMAE: Molecular Representation Learning by Reconstructing Heterogeneous Graphs with A High Mask Ratio.
CIKM
Jinjia Feng, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei, Hongteng Xu
2022 A conf
Optimizing Random Access to Hierarchically-Compressed Data on GPU.
SC
Feng Zhang, Yihua Hu, Haipeng Ding, Zhiming Yao, Zhewei Wei, Xiao Zhang, Xiaoyong Du
2022 J jnl
Persistent Summaries.
ACM Trans. Database Syst.
Tianjing Zeng, Zhewei Wei, Ge Luo, Ke Yi, Xiaoyong Du, Ji-Rong Wen
2022 J jnl
Personalized PageRank on Evolving Graphs with an Incremental Index-Update Scheme.
CoRR
Guanhao Hou, Qintian Guo, Fangyuan Zhang, Sibo Wang, Zhewei Wei
2022 A* conf
Predicting Protein-Ligand Binding Affinity via Joint Global-Local Interaction Modeling.
ICDM
Yang Zhang, Gengmo Zhou, Zhewei Wei, Hongteng Xu
2022 J jnl
Predicting Protein-Ligand Binding Affinity via Joint Global-Local Interaction Modeling.
CoRR
Yang Zhang, Gengmo Zhou, Zhewei Wei, Hongteng Xu
2022 J jnl
Preformer: Predictive Transformer with Multi-Scale Segment-wise Correlations for Long-Term Time Series Forecasting.
CoRR
Dazhao Du, Bing Su, Zhewei Wei
2022 A* conf
Sampling-based Estimation of the Number of Distinct Values in Distributed Environment.
KDD
Jiajun Li, Zhewei Wei, Bolin Ding, Xiening Dai, Lu Lu, Jingren Zhou
2022 J jnl
Sampling-based Estimation of the Number of Distinct Values in Distributed Environment.
CoRR
Jiajun Li, Zhewei Wei, Bolin Ding, Xiening Dai, Lu Lu, Jingren Zhou
2021 A ed.
24th International Conference on Database Theory, ICDT 2021, Nicosia, Cyprus, March 23-26, 2021
ICDT
Ke Yi, Zhewei Wei
2021 A* conf
Approximate Graph Propagation.
KDD
Hanzhi Wang, Mingguo He, Zhewei Wei, Sibo Wang, Ye Yuan, Xiaoyong Du, Ji-Rong Wen
2021 J jnl
Approximate Graph Propagation.
CoRR
Hanzhi Wang, Mingguo He, Zhewei Wei, Sibo Wang, Ye Yuan, Xiaoyong Du, Ji-Rong Wen
2021 A* conf
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation.
NeurIPS
Mingguo He, Zhewei Wei, Zengfeng Huang, Hongteng Xu
2021 J jnl
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation.
CoRR
Mingguo He, Zhewei Wei, Zengfeng Huang, Hongteng Xu
2021 J jnl
ExactSim: benchmarking single-source SimRank algorithms with high-precision ground truths.
VLDB J.
Hanzhi Wang, Zhewei Wei, Yu Liu, Ye Yuan, Xiaoyong Du, Ji-Rong Wen
2021 J jnl
FlashP: An Analytical Pipeline for Real-time Forecasting of Time-Series Relational Data.
CoRR
Shuyuan Yan, Bolin Ding, Wei Guo, Jingren Zhou, Zhewei Wei, Xiaowei Jiang, Sheng Xu
2021 J jnl
FlashP: An Analytical Pipeline for Real-time Forecasting of Time-Series Relational Data.
Proc. VLDB Endow.
Shuyuan Yan, Bolin Ding, Wei Guo, Jingren Zhou, Zhewei Wei, Xiaowei Jiang, Sheng Xu
2021 A* conf
Graph Neural Networks Inspired by Classical Iterative Algorithms.
ICML
Yongyi Yang, Tang Liu, Yangkun Wang, Jinjing Zhou, Quan Gan, Zhewei Wei, Zheng Zhang, Zengfeng Huang, David Wipf
2021 J jnl
Graph Neural Networks Inspired by Classical Iterative Algorithms.
CoRR
Yongyi Yang, Tang Liu, Yangkun Wang, Jinjing Zhou, Quan Gan, Zhewei Wei, Zheng Zhang, Zengfeng Huang, David Wipf
2021 J jnl
Learning to be a Statistician: Learned Estimator for Number of Distinct Values.
Proc. VLDB Endow.
Renzhi Wu, Bolin Ding, Xu Chu, Zhewei Wei, Xiening Dai, Tao Guan, Jingren Zhou
2021 J jnl
Massively Parallel Algorithms for Personalized PageRank.
Proc. VLDB Endow.
Guanhao Hou, Xingguang Chen, Sibo Wang, Zhewei Wei
2021 — conf
Unifying the Global and Local Approaches: An Efficient Power Iteration with Forward Push.
SIGMOD Conference
Hao Wu, Junhao Gan, Zhewei Wei, Rui Zhang
2021 J jnl
Unifying the Global and Local Approaches: An Efficient Power Iteration with Forward Push.
CoRR
Hao Wu, Junhao Gan, Zhewei Wei, Rui Zhang
2020 J jnl
A game-based framework for crowdsourced data labeling.
VLDB J.
Jingru Yang, Ju Fan, Zhewei Wei, Guoliang Li, Tongyu Liu, Xiaoyong Du
2020 — conf
Exact Single-Source SimRank Computation on Large Graphs.
SIGMOD Conference
Hanzhi Wang, Zhewei Wei, Ye Yuan, Xiaoyong Du, Ji-Rong Wen
2020 J jnl
Exact Single-Source SimRank Computation on Large Graphs.
CoRR
Hanzhi Wang, Zhewei Wei, Ye Yuan, Xiaoyong Du, Ji-Rong Wen
2020 — conf
Influence Maximization Revisited: Efficient Reverse Reachable Set Generation with Bound Tightened.
SIGMOD Conference
Qintian Guo, Sibo Wang, Zhewei Wei, Ming Chen
2020 A* conf
Personalized PageRank to a Target Node, Revisited.
KDD
Hanzhi Wang, Zhewei Wei, Junhao Gan, Sibo Wang, Zengfeng Huang
2020 J jnl
Personalized PageRank to a Target Node, Revisited.
CoRR
Hanzhi Wang, Zhewei Wei, Junhao Gan, Sibo Wang, Zengfeng Huang
2020 A* ed.
Proceedings of the 39th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems, PODS 2020, Portland, OR, USA, June 14-19, 2020.
PODS
Dan Suciu, Yufei Tao, Zhewei Wei
2020 A* conf
Scalable Graph Neural Networks via Bidirectional Propagation.
NeurIPS
Ming Chen, Zhewei Wei, Bolin Ding, Yaliang Li, Ye Yuan, Xiaoyong Du, Ji-Rong Wen
2020 J jnl
Scalable Graph Neural Networks via Bidirectional Propagation.
CoRR
Ming Chen, Zhewei Wei, Bolin Ding, Yaliang Li, Ye Yuan, Xiaoyong Du, Ji-Rong Wen
2020 J jnl
SimTab: Accuracy-Guaranteed SimRank Queries through Tighter Confidence Bounds and Multi-Armed Bandits.
Proc. VLDB Endow.
Yu Liu, Lei Zou, Qian Ge, Zhewei Wei
2020 A* conf
Simple and Deep Graph Convolutional Networks.
ICML
Ming Chen, Zhewei Wei, Zengfeng Huang, Bolin Ding, Yaliang Li
2020 J jnl
Simple and Deep Graph Convolutional Networks.
CoRR
Ming Chen, Zhewei Wei, Zengfeng Huang, Bolin Ding, Yaliang Li
2019 — conf
CrowdGame: A Game-Based Crowdsourcing System for Cost-Effective Data Labeling.
SIGMOD Conference
Tongyu Liu, Jingru Yang, Ju Fan, Zhewei Wei, Guoliang Li, Xiaoyong Du
2019 J jnl
Distribution-Aware Crowdsourced Entity Collection.
IEEE Trans. Knowl. Data Eng.
Ju Fan, Zhewei Wei, Dongxiang Zhang, Jingru Yang, Xiaoyong Du
2019 J jnl
Efficient Algorithms for Approximate Single-Source Personalized PageRank Queries.
CoRR
Sibo Wang, Renchi Yang, Runhui Wang, Xiaokui Xiao, Zhewei Wei, Wenqing Lin, Yin Yang, Nan Tang
2019 J jnl
Efficient Algorithms for Approximate Single-Source Personalized PageRank Queries.
ACM Trans. Database Syst.
Sibo Wang, Renchi Yang, Runhui Wang, Xiaokui Xiao, Zhewei Wei, Wenqing Lin, Yin Yang, Nan Tang
2019 — conf
Efficient Estimation of Heat Kernel PageRank for Local Clustering.
SIGMOD Conference
Renchi Yang, Xiaokui Xiao, Zhewei Wei, Sourav S. Bhowmick, Jun Zhao, Rong-Hua Li
2019 J jnl
Efficient Estimation of Heat Kernel PageRank for Local Clustering.
CoRR
Renchi Yang, Xiaokui Xiao, Zhewei Wei, Sourav S. Bhowmick, Jun Zhao, Rong-Hua Li
2019 — conf
PRSim: Sublinear Time SimRank Computation on Large Power-Law Graphs.
SIGMOD Conference
Zhewei Wei, Xiaodong He, Xiaokui Xiao, Sibo Wang, Yu Liu, Xiaoyong Du, Ji-Rong Wen
2019 J jnl
PRSim: Sublinear Time SimRank Computation on Large Power-Law Graphs.
CoRR
Zhewei Wei, Xiaodong He, Xiaokui Xiao, Sibo Wang, Yu Liu, Xiaoyong Du, Ji-Rong Wen
2019 J jnl
Parallel Trajectory-to-Location Join.
IEEE Trans. Knowl. Data Eng.
Shuo Shang, Lisi Chen, Kai Zheng, Christian S. Jensen, Zhewei Wei, Panos Kalnis
2019 A* conf
Scalable Graph Embeddings via Sparse Transpose Proximities.
KDD
Yuan Yin, Zhewei Wei
2019 J jnl
Scalable Graph Embeddings via Sparse Transpose Proximities.
CoRR
Yuan Yin, Zhewei Wei
2018 J jnl
Cost-Effective Data Annotation using Game-Based Crowdsourcing.
Proc. VLDB Endow.
Jingru Yang, Ju Fan, Zhewei Wei, Guoliang Li, Tongyu Liu, Xiaoyong Du
2018 J jnl
Optimal algorithms for selecting top-k combinations of attributes: theory and applications.
VLDB J.
Chunbin Lin, Jiaheng Lu, Zhewei Wei, Jianguo Wang, Xiaokui Xiao
2018 J jnl
Parallel trajectory similarity joins in spatial networks.
VLDB J.
Shuo Shang, Lisi Chen, Zhewei Wei, Christian S. Jensen, Kai Zheng, Panos Kalnis
2018 J jnl
Tight Space Bounds for Two-Dimensional Approximate Range Counting.
ACM Trans. Algorithms
Zhewei Wei, Ke Yi
2018 — conf
TopPPR: Top-k Personalized PageRank Queries with Precision Guarantees on Large Graphs.
SIGMOD Conference
Zhewei Wei, Xiaodong He, Xiaokui Xiao, Sibo Wang, Shuo Shang, Ji-Rong Wen
2017 A* conf
Collective Travel Planning in Spatial Networks.
ICDE
Shuo Shang, Lisi Chen, Zhewei Wei, Christian S. Jensen, Ji-Rong Wen, Panos Kalnis
2017 A* conf
FORA: Simple and Effective Approximate Single-Source Personalized PageRank.
KDD
Sibo Wang, Renchi Yang, Xiaokui Xiao, Zhewei Wei, Yin Yang
2017 A conf
Independent Range Sampling, Revisited.
ESA
Peyman Afshani, Zhewei Wei
2017 J jnl
ProbeSim: Scalable Single-Source and Top-k SimRank Computations on Dynamic Graphs.
CoRR
Yu Liu, Bolong Zheng, Xiaodong He, Zhewei Wei, Xiaokui Xiao, Kai Zheng, Jiaheng Lu
2017 J jnl
ProbeSim: Scalable Single-Source and Top-k SimRank Computations on Dynamic Graphs.
Proc. VLDB Endow.
Yu Liu, Bolong Zheng, Xiaodong He, Zhewei Wei, Xiaokui Xiao, Kai Zheng, Jiaheng Lu
2017 A* conf
Tracking Matrix Approximation over Distributed Sliding Windows.
ICDE
Haida Zhang, Zengfeng Huang, Zhewei Wei, Wenjie Zhang, Xuemin Lin
2017 J jnl
Trajectory Similarity Join in Spatial Networks.
Proc. VLDB Endow.
Shuo Shang, Lisi Chen, Zhewei Wei, Christian S. Jensen, Kai Zheng, Panos Kalnis
2016 J jnl
Collective Travel Planning in Spatial Networks.
IEEE Trans. Knowl. Data Eng.
Shuo Shang, Lisi Chen, Zhewei Wei, Christian S. Jensen, Ji-Rong Wen, Panos Kalnis
2016 J jnl
Dynamic Shortest Path Monitoring in Spatial Networks.
J. Comput. Sci. Technol.
Shuo Shang, Lisi Chen, Zhewei Wei, Danhuai Guo, Ji-Rong Wen
2016 — conf
Matrix Sketching Over Sliding Windows.
SIGMOD Conference
Zhewei Wei, Xuancheng Liu, Feifei Li, Shuo Shang, Xiaoyong Du, Ji-Rong Wen
2016 — conf
Probabilistic Nearest Neighbor Query in Traffic-Aware Spatial Networks.
APWeb (1)
Shuo Shang, Zhewei Wei, Ji-Rong Wen, Shunzhi Zhu
2015 — conf
Persistent Data Sketching.
SIGMOD Conference
Zhewei Wei, Ge Luo, Ke Yi, Xiaoyong Du, Ji-Rong Wen
2015 J jnl
Towards Maximum Independent Sets on Massive Graphs.
Proc. VLDB Endow.
Yu Liu, Jiaheng Lu, Hua Yang, Xiaokui Xiao, Zhewei Wei
2014 J jnl
Cache-Oblivious Hashing.
Algorithmica
Rasmus Pagh, Zhewei Wei, Ke Yi, Qin Zhang
2014 A conf
Equivalence between Priority Queues and Sorting in External Memory.
ESA
Zhewei Wei, Ke Yi
2014 J jnl
Indexing for summary queries: Theory and practice.
ACM Trans. Database Syst.
Ke Yi, Lu Wang, Zhewei Wei
2013 J jnl
Mergeable summaries.
ACM Trans. Database Syst.
Pankaj K. Agarwal, Graham Cormode, Zengfeng Huang, Jeff M. Phillips, Zhewei Wei, Ke Yi
2013 A* conf
The Space Complexity of 2-Dimensional Approximate Range Counting.
SODA
Zhewei Wei, Ke Yi
2012 J jnl
Equivalence between Priority Queues and Sorting in External Memory
CoRR
Zhewei Wei, Ke Yi
2012 A* conf
Mergeable summaries.
PODS
Pankaj K. Agarwal, Graham Cormode, Zengfeng Huang, Jeff M. Phillips, Zhewei Wei, Ke Yi
2012 J jnl
The Space Complexity of 2-Dimensional Approximate Range Counting
CoRR
Zhewei Wei, Ke Yi
2011 A* conf
Beyond simple aggregates: indexing for summary queries.
PODS
Zhewei Wei, Ke Yi
2010 A* conf
Cache-oblivious hashing.
PODS
Rasmus Pagh, Zhewei Wei, Ke Yi, Qin Zhang
2009 B conf
Dynamic external hashing: the limit of buffering.
SPAA
Zhewei Wei, Ke Yi, Qin Zhang
2008 J jnl
Dynamic External Hashing: The Limit of Buffering
CoRR
Zhewei Wei, Ke Yi, Qin Zhang