Dynamic external hashing: the limit of buffering. - Zhewei Wei; Ke Yi 001; Qin Zhang 001 (SPAA, 2009)

Beyond simple aggregates: indexing for summary queries. - Zhewei Wei; Ke Yi 001 (PODS, 2011)

The Space Complexity of 2-Dimensional Approximate Range Counting. - Zhewei Wei; Ke Yi 001 (SODA, 2013)

Mergeable summaries. - Pankaj K. Agarwal; Graham Cormode; Zengfeng Huang; Jeff M. Phillips; Zhewei Wei; Ke Yi 001 (ACM Trans. Database Syst., 2013)

Equivalence between Priority Queues and Sorting in External Memory. - Zhewei Wei; Ke Yi 001 (ESA, 2014)

Cache-Oblivious Hashing. - Rasmus Pagh; Zhewei Wei; Ke Yi 001; Qin Zhang 001 (Algorithmica, 2014)

Indexing for summary queries: Theory and practice. - Ke Yi 001; Lu Wang 002; Zhewei Wei (ACM Trans. Database Syst., 2014)

Persistent Data Sketching. - Zhewei Wei; Ge Luo 001; Ke Yi 001; Xiaoyong Du 001; Ji-Rong Wen (SIGMOD Conference, 2015)

Towards Maximum Independent Sets on Massive Graphs. - Yu Liu 070; Jiaheng Lu; Hua Yang; Xiaokui Xiao; Zhewei Wei (Proc. VLDB Endow., 2015)

Probabilistic Nearest Neighbor Query in Traffic-Aware Spatial Networks. - Shuo Shang; Zhewei Wei; Ji-Rong Wen; Shunzhi Zhu (APWeb (1), 2016)

Matrix Sketching Over Sliding Windows. - Zhewei Wei; Xuancheng Liu; Feifei Li 001; Shuo Shang; Xiaoyong Du 001; Ji-Rong Wen (SIGMOD Conference, 2016)

Dynamic Shortest Path Monitoring in Spatial Networks. - Shuo Shang; Lisi Chen 001; Zhewei Wei; Danhuai Guo; Ji-Rong Wen (J. Comput. Sci. Technol., 2016)

Collective Travel Planning in Spatial Networks. - Shuo Shang; Lisi Chen 001; Zhewei Wei; Christian S. Jensen; Ji-Rong Wen; Panos Kalnis (IEEE Trans. Knowl. Data Eng., 2016)

Independent Range Sampling, Revisited. - Peyman Afshani; Zhewei Wei (ESA, 2017)

Tracking Matrix Approximation over Distributed Sliding Windows. - Haida Zhang; Zengfeng Huang; Zhewei Wei; Wenjie Zhang 001; Xuemin Lin 001 (ICDE, 2017)

FORA: Simple and Effective Approximate Single-Source Personalized PageRank. - Sibo Wang 001; Renchi Yang; Xiaokui Xiao; Zhewei Wei; Yin Yang 001 (KDD, 2017)

ProbeSim: Scalable Single-Source and Top-k SimRank Computations on Dynamic Graphs. - Yu Liu 070; Bolong Zheng; Xiaodong He; Zhewei Wei; Xiaokui Xiao; Kai Zheng 001; Jiaheng Lu (Proc. VLDB Endow., 2017)

Trajectory Similarity Join in Spatial Networks. - Shuo Shang; Lisi Chen 001; Zhewei Wei; Christian S. Jensen; Kai Zheng 001; Panos Kalnis (Proc. VLDB Endow., 2017)

TopPPR: Top-k Personalized PageRank Queries with Precision Guarantees on Large Graphs. - Zhewei Wei; Xiaodong He; Xiaokui Xiao; Sibo Wang 001; Shuo Shang; Ji-Rong Wen (SIGMOD Conference, 2018)

Cost-Effective Data Annotation using Game-Based Crowdsourcing. - Jingru Yang; Ju Fan; Zhewei Wei; Guoliang Li 001; Tongyu Liu; Xiaoyong Du 001 (Proc. VLDB Endow., 2018)

Tight Space Bounds for Two-Dimensional Approximate Range Counting. - Zhewei Wei; Ke Yi 001 (ACM Trans. Algorithms, 2018)

Optimal algorithms for selecting top-k combinations of attributes: theory and applications. - Chunbin Lin; Jiaheng Lu; Zhewei Wei; Jianguo Wang 001; Xiaokui Xiao (VLDB J., 2018)

Parallel trajectory similarity joins in spatial networks. - Shuo Shang; Lisi Chen 001; Zhewei Wei; Christian S. Jensen; Kai Zheng 001; Panos Kalnis (VLDB J., 2018)

Scalable Graph Embeddings via Sparse Transpose Proximities. - Yuan Yin; Zhewei Wei (KDD, 2019)

CrowdGame: A Game-Based Crowdsourcing System for Cost-Effective Data Labeling. - Tongyu Liu; Jingru Yang; Ju Fan; Zhewei Wei; Guoliang Li 001; Xiaoyong Du 001 (SIGMOD Conference, 2019)

PRSim: Sublinear Time SimRank Computation on Large Power-Law Graphs. - Zhewei Wei; Xiaodong He; Xiaokui Xiao; Sibo Wang 001; Yu Liu 070; Xiaoyong Du 001; Ji-Rong Wen (SIGMOD Conference, 2019)

Efficient Estimation of Heat Kernel PageRank for Local Clustering. - Renchi Yang; Xiaokui Xiao; Zhewei Wei; Sourav S. Bhowmick; Jun Zhao 007; Rong-Hua Li (SIGMOD Conference, 2019)

Distribution-Aware Crowdsourced Entity Collection. - Ju Fan; Zhewei Wei; Dongxiang Zhang; Jingru Yang; Xiaoyong Du 001 (IEEE Trans. Knowl. Data Eng., 2019)

Parallel Trajectory-to-Location Join. - Shuo Shang; Lisi Chen 001; Kai Zheng 001; Christian S. Jensen; Zhewei Wei; Panos Kalnis (IEEE Trans. Knowl. Data Eng., 2019)

Efficient Algorithms for Approximate Single-Source Personalized PageRank Queries. - Sibo Wang 001; Renchi Yang; Runhui Wang; Xiaokui Xiao; Zhewei Wei; Wenqing Lin; Yin Yang 001; Nan Tang 001 (ACM Trans. Database Syst., 2019)

Simple and Deep Graph Convolutional Networks. - Ming Chen; Zhewei Wei; Zengfeng Huang; Bolin Ding; Yaliang Li (ICML, 2020)

Personalized PageRank to a Target Node, Revisited. - Hanzhi Wang 001; Zhewei Wei; Junhao Gan; Sibo Wang 001; Zengfeng Huang (KDD, 2020)

Scalable Graph Neural Networks via Bidirectional Propagation. - Ming Chen; Zhewei Wei; Bolin Ding; Yaliang Li; Ye Yuan 001; Xiaoyong Du 001; Ji-Rong Wen (NeurIPS, 2020)

Influence Maximization Revisited: Efficient Reverse Reachable Set Generation with Bound Tightened. - Qintian Guo; Sibo Wang 001; Zhewei Wei; Ming Chen (SIGMOD Conference, 2020)

Exact Single-Source SimRank Computation on Large Graphs. - Hanzhi Wang 001; Zhewei Wei; Ye Yuan 001; Xiaoyong Du 001; Ji-Rong Wen (SIGMOD Conference, 2020)

SimTab: Accuracy-Guaranteed SimRank Queries through Tighter Confidence Bounds and Multi-Armed Bandits. - Yu Liu 070; Lei Zou 001; Qian Ge; Zhewei Wei (Proc. VLDB Endow., 2020)

A game-based framework for crowdsourced data labeling. - Jingru Yang; Ju Fan; Zhewei Wei; Guoliang Li 001; Tongyu Liu; Xiaoyong Du 001 (VLDB J., 2020)

Graph Neural Networks Inspired by Classical Iterative Algorithms. - Yongyi Yang; Tang Liu; Yangkun Wang; Jinjing Zhou; Quan Gan; Zhewei Wei; Zheng Zhang 001; Zengfeng Huang; David Wipf (ICML, 2021)

Approximate Graph Propagation. - Hanzhi Wang 001; Mingguo He; Zhewei Wei; Sibo Wang 001; Ye Yuan 001; Xiaoyong Du 001; Ji-Rong Wen (KDD, 2021)

BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation. - Mingguo He; Zhewei Wei; Zengfeng Huang; Hongteng Xu (NeurIPS, 2021)

Unifying the Global and Local Approaches: An Efficient Power Iteration with Forward Push. - Hao Wu 057; Junhao Gan; Zhewei Wei; Rui Zhang 003 (SIGMOD Conference, 2021)

Massively Parallel Algorithms for Personalized PageRank. - Guanhao Hou; Xingguang Chen; Sibo Wang 001; Zhewei Wei (Proc. VLDB Endow., 2021)

Learning to be a Statistician: Learned Estimator for Number of Distinct Values. - Renzhi Wu; Bolin Ding; Xu Chu 002; Zhewei Wei; Xiening Dai; Tao Guan; Jingren Zhou 001 (Proc. VLDB Endow., 2021)

FlashP: An Analytical Pipeline for Real-time Forecasting of Time-Series Relational Data. - Shuyuan Yan; Bolin Ding; Wei Guo; Jingren Zhou 001; Zhewei Wei; Xiaowei Jiang; Sheng Xu (Proc. VLDB Endow., 2021)

ExactSim: benchmarking single-source SimRank algorithms with high-precision ground truths. - Hanzhi Wang 001; Zhewei Wei; Yu Liu 070; Ye Yuan 001; Xiaoyong Du 001; Ji-Rong Wen (VLDB J., 2021)

MGMAE: Molecular Representation Learning by Reconstructing Heterogeneous Graphs with A High Mask Ratio. - Jinjia Feng; Zhen Wang 036; Yaliang Li; Bolin Ding; Zhewei Wei; Hongteng Xu (CIKM, 2022)

Building Graphs at Scale via Sequence of Edges: Model and Generation Algorithms (Extended Abstract). - Yu Liu 070; Lei Zou 001; Zhewei Wei (ICDE, 2022)

Predicting Protein-Ligand Binding Affinity via Joint Global-Local Interaction Modeling. - Yang Zhang 094; Gengmo Zhou; Zhewei Wei; Hongteng Xu (ICDM, 2022)

Sampling-based Estimation of the Number of Distinct Values in Distributed Environment. - Jiajun Li; Zhewei Wei; Bolin Ding; Xiening Dai; Lu Lu; Jingren Zhou 001 (KDD, 2022)

Graph Neural Networks with Node-wise Architecture. - Zhen Wang 036; Zhewei Wei; Yaliang Li; Weirui Kuang; Bolin Ding (KDD, 2022)

Instant Graph Neural Networks for Dynamic Graphs. - Yanping Zheng; Hanzhi Wang 001; Zhewei Wei; Jiajun Liu; Sibo Wang 001 (KDD, 2022)

Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited. - Mingguo He; Zhewei Wei; Ji-Rong Wen (NeurIPS, 2022)

EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks. - Runlin Lei; Zhen Wang 036; Yaliang Li; Bolin Ding; Zhewei Wei (NeurIPS, 2022)

Optimizing Random Access to Hierarchically-Compressed Data on GPU. - Feng Zhang 007; Yihua Hu 003; Haipeng Ding 002; Zhiming Yao; Zhewei Wei; Xiao Zhang 001; Xiaoyong Du 001 (SC, 2022)

GSN: A Universal Graph Neural Network Inspired by Spring Network. - Guanyu Cui; Zhewei Wei (CoRR, 2022)

Edge-based Local Push for Personalized PageRank. - Hanzhi Wang 001; Zhewei Wei; Junhao Gan; Ye Yuan 001; Xiaoyong Du 001; Ji-Rong Wen (Proc. VLDB Endow., 2022)

Approximating Probabilistic Group Steiner Trees in Graphs. - Shuang Yang; Yahui Sun 001; Jiesong Liu; Xiaokui Xiao; Rong-Hua Li; Zhewei Wei (Proc. VLDB Endow., 2022)

Building Graphs at Scale via Sequence of Edges: Model and Generation Algorithms. - Yu Liu 070; Lei Zou 001; Zhewei Wei (IEEE Trans. Knowl. Data Eng., 2022)

Influence Maximization Revisited: Efficient Sampling with Bound Tightened. - Qintian Guo; Sibo Wang 001; Zhewei Wei; Wenqing Lin; Jing Tang 004 (ACM Trans. Database Syst., 2022)

Persistent Summaries. - Tianjing Zeng; Zhewei Wei; Ge Luo 001; Ke Yi 001; Xiaoyong Du 001; Ji-Rong Wen (ACM Trans. Database Syst., 2022)

On Range Summary Queries. - Peyman Afshani; Pingan Cheng; Aniket Basu Roy; Zhewei Wei (ICALP, 2023)

Preformer: Predictive Transformer with Multi-Scale Segment-Wise Correlations for Long-Term Time Series Forecasting. - Dazhao Du; Bing Su 001; Zhewei Wei (ICASSP, 2023)

Uni-Mol: A Universal 3D Molecular Representation Learning Framework. - Gengmo Zhou; Zhifeng Gao; Qiankun Ding; Hang Zheng; Hongteng Xu; Zhewei Wei; Linfeng Zhang 002; Guolin Ke (ICLR, 2023)

Graph Neural Networks with Learnable and Optimal Polynomial Bases. - Yuhe Guo; Zhewei Wei (ICML, 2023)

MGNN: Graph Neural Networks Inspired by Distance Geometry Problem. - Guanyu Cui; Zhewei Wei (KDD, 2023)

Clenshaw Graph Neural Networks. - Yuhe Guo; Zhewei Wei (KDD, 2023)

Optimal Dynamic Subset Sampling: Theory and Applications. - Lu Yi 002; Hanzhi Wang 001; Zhewei Wei (KDD, 2023)

Do Deep Learning Methods Really Perform Better in Molecular Conformation Generation? - Gengmo Zhou; Zhifeng Gao; Zhewei Wei; Hang Zheng; Guolin Ke (CoRR, 2023)

EquiPocket: an E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction. - Yang Zhang 094; Wenbing Huang 001; Zhewei Wei; Ye Yuan 001; Zhaohan Ding (CoRR, 2023)

LON-GNN: Spectral GNNs with Learnable Orthonormal Basis. - Qian Tao; Zhen Wang 036; Wenyuan Yu; Yaliang Li; Zhewei Wei (CoRR, 2023)

Estimating Single-Node PageRank in Õ(min{dt, √m}) Time. - Hanzhi Wang 001; Zhewei Wei (CoRR, 2023)

Personalized PageRank on Evolving Graphs with an Incremental Index-Update Scheme. - Guanhao Hou; Qintian Guo; Fangyuan Zhang; Sibo Wang 001; Zhewei Wei (Proc. ACM Manag. Data, 2023)

Decoupled Graph Neural Networks for Large Dynamic Graphs. - Yanping Zheng; Zhewei Wei; Jiajun Liu (Proc. VLDB Endow., 2023)

Enabling Efficient Random Access to Hierarchically Compressed Text Data on Diverse GPU Platforms. - Yihua Hu 003; Feng Zhang 007; Yifei Xia; Zhiming Yao; Letian Zeng; Haipeng Ding 002; Zhewei Wei; Xiao Zhang 001; Jidong Zhai; Xiaoyong Du 001; Siqi Ma (IEEE Trans. Parallel Distributed Syst., 2023)

Federated Heterogeneous Contrastive Distillation for Molecular Representation Learning. - Jinjia Feng; Zhen Wang 036; Zhewei Wei; Yaliang Li; Bolin Ding; Hongteng Xu (CIKM, 2024)

Beyond Over-smoothing: Uncovering the Trainability Challenges in Deep Graph Neural Networks. - Jie Peng 005; Runlin Lei; Zhewei Wei (CIKM, 2024)

HierAffinity: Predicting Protein-Ligand Binding Affinity With Hierarchical Modeling. - Yang Zhang 094; Zhewei Wei; Wenbing Huang 001; Chongxuan Li (DASFAA (7), 2024)

TransPocket: Structural and Geometric Transformer for Ligand Binding Site Detection. - Yang Zhang 094; Zhewei Wei; Wenbing Huang 001; Chongxuan Li (DASFAA (7), 2024)

SRAP-Agent: Simulating and Optimizing Scarce Resource Allocation Policy with LLM-based Agent. - Jiarui Ji; Yang Li; Hongtao Liu; Zhicheng Du; Zhewei Wei; Qi Qi; Weiran Shen; Yankai Lin (EMNLP (Findings), 2024)

Approximating Single-Source Personalized PageRank with Absolute Error Guarantees. - Zhewei Wei; Ji-Rong Wen; Mingji Yang 001 (ICDT, 2024)

PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable Spectral Polynomial Filters. - Jingyu Chen; Runlin Lei; Zhewei Wei (ICLR, 2024)

EquiPocket: an E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction. - Yang Zhang 094; Zhewei Wei; Ye Yuan 001; Chongxuan Li; Wenbing Huang 001 (ICML, 2024)

PolyFormer: Scalable Node-wise Filters via Polynomial Graph Transformer. - Jiahong Ma; Mingguo He; Zhewei Wei (KDD, 2024)

Intruding with Words: Towards Understanding Graph Injection Attacks at the Text Level. - Runlin Lei; Yuwei Hu; Yuchen Ren 005; Zhewei Wei (NeurIPS, 2024)

S-MolSearch: 3D Semi-supervised Contrastive Learning for Bioactive Molecule Search. - Gengmo Zhou; Zhen Wang; Feng Yu; Guolin Ke; Zhewei Wei; Zhifeng Gao (NeurIPS, 2024)

Revisiting Local Computation of PageRank: Simple and Optimal. - Hanzhi Wang 001; Zhewei Wei; Ji-Rong Wen; Mingji Yang 001 (STOC, 2024)

GTP-ViT: Efficient Vision Transformers via Graph-based Token Propagation. - Xuwei Xu; Sen Wang 001; Yudong Chen 002; Yanping Zheng; Zhewei Wei; Jiajun Liu (WACV, 2024)

Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials. - Mingguo He; Zhewei Wei; Shikun Feng; Zhengjie Huang; Weibin Li; Yu Sun 029; Dianhai Yu (WWW, 2024)

Exploring Neural Scaling Law and Data Pruning Methods For Node Classification on Large-scale Graphs. - Zhen Wang 036; Yaliang Li; Bolin Ding; Yule Li; Zhewei Wei (WWW, 2024)

A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications. - Jiaqi Han; Jiacheng Cen; Liming Wu; Zongzhao Li; Xiangzhe Kong; Rui Jiao; Ziyang Yu 002; Tingyang Xu; Fandi Wu; Zihe Wang; Hongteng Xu; Zhewei Wei; et al. (CoRR, 2024)

YuLan: An Open-source Large Language Model. - Yutao Zhu 001; Kun Zhou 002; Kelong Mao; Wentong Chen; Yiding Sun; Zhipeng Chen 001; Qian Cao 001; Yihan Wu; Yushuo Chen; Feng Wang; Lei Zhang; Junyi Li; et al. (CoRR, 2024)

Very Large-Scale Multi-Agent Simulation in AgentScope. - Xuchen Pan; Dawei Gao; Yuexiang Xie; Zhewei Wei; Yaliang Li; Bolin Ding; Ji-Rong Wen; Jingren Zhou 001 (CoRR, 2024)

Scalable and Certifiable Graph Unlearning via Lazy Local Propagation. - Lu Yi 002; Zhewei Wei (CoRR, 2024)

Rethinking the Expressiveness of GNNs: A Computational Model Perspective. - Guanyu Cui; Zhewei Wei; Hsin-Hao Su (CoRR, 2024)

Scalable and Accurate Graph Reasoning with LLM-based Multi-Agents. - Yuwei Hu; Runlin Lei; Xinyi Huang; Zhewei Wei; Yongchao Liu (CoRR, 2024)

Dynamic and Textual Graph Generation Via Large-Scale LLM-based Agent Simulation. - Jiarui Ji; Runlin Lei; Jialing Bi; Zhewei Wei; Yankai Lin; Xuchen Pan; Yaliang Li; Bolin Ding (CoRR, 2024)

Matrix Sketching in Bandits: Current Pitfalls and New Framework. - Dongxie Wen; Hanyan Yin; Xiao Zhang; Zhewei Wei (CoRR, 2024)

Fast Second-Order Online Kernel Learning through Incremental Matrix Sketching and Decomposition. - Dongxie Wen; Xiao Zhang 001; Zhewei Wei (CoRR, 2024)

Learning-based Property Estimation with Polynomials. - Jiajun Li; Runlin Lei; Sibo Wang 001; Zhewei Wei; Bolin Ding (Proc. ACM Manag. Data, 2024)

Optimal Matrix Sketching over Sliding Windows. - Hanyan Yin; Dongxie Wen; Jiajun Li; Zhewei Wei; Xiao Zhang 001; Zengfeng Huang; Feifei Li 001 (Proc. VLDB Endow., 2024)

Index-free triangle-based graph local clustering. - Zhe Yuan; Zhewei Wei; Fangrui Lv; Ji-Rong Wen (Frontiers Comput. Sci., 2024)

Efficient Algorithms for Personalized PageRank Computation: A Survey. - Mingji Yang 001; Hanzhi Wang 001; Zhewei Wei; Sibo Wang 001; Ji-Rong Wen (IEEE Trans. Knowl. Data Eng., 2024)

When Transformer Meets Large Graphs: An Expressive and Efficient Two-View Architecture. - Weirui Kuang; Zhen Wang 036; Zhewei Wei; Yaliang Li; Bolin Ding (IEEE Trans. Knowl. Data Eng., 2024)

PRICE: A Pretrained Model for Cross-Database Cardinality Estimation. - Tianjing Zeng; Junwei Lan; Jiahong Ma; Wenqing Wei; Rong Zhu; Pengfei Li 005; Bolin Ding; Defu Lian; Zhewei Wei; Jingren Zhou 001 (Proc. VLDB Endow., 2024)

A survey on large language model based autonomous agents. - Lei Wang 198; Chen Ma 001; Xueyang Feng; Zeyu Zhang 007; Hao Yang; Jingsen Zhang; Zhiyuan Chen; Jiakai Tang; Xu Chen 017; Yankai Lin; Wayne Xin Zhao; Zhewei Wei; et al. (Frontiers Comput. Sci., 2024)

Advancing Retrosynthesis with Retrieval-Augmented Graph Generation. - Anjie Qiao; Zhen Wang 036; Jiahua Rao; Yuedong Yang; Zhewei Wei (AAAI, 2025)

Towards Effective and Efficient Continual Pre-training of Large Language Models. - Jie Chen 007; Zhipeng Chen 001; Jiapeng Wang; Kun Zhou 002; Yutao Zhu 001; Jinhao Jiang; Yingqian Min; Xin Zhao 018; Zhicheng Dou; Jiaxin Mao; Yankai Lin; Ruihua Song; et al. (ACL (1), 2025)

LLM-Based Multi-Agent Systems are Scalable Graph Generative Models. - Jiarui Ji; Runlin Lei; Jialing Bi; Zhewei Wei; Xu Chen 017; Yankai Lin; Xuchen Pan; Yaliang Li; Bolin Ding (ACL (Findings), 2025)

TGB-Seq Benchmark: Challenging Temporal GNNs with Complex Sequential Dynamics. - Lu Yi 002; Jie Peng 005; Yanping Zheng; Fengran Mo; Zhewei Wei; Yuhang Ye 002; Yue Zixuan; Zengfeng Huang (ICLR, 2025)

Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier. - Lu Yi 002; Zhewei Wei (ICLR, 2025)

Large-Scale Spectral Graph Neural Networks via Laplacian Sparsification. - Haipeng Ding 002; Zhewei Wei; Yuhang Ye 002 (KDD (1), 2025)

Mixing Time Matters: Accelerating Effective Resistance Estimation via Bidirectional Method. - Guanyu Cui; Hanzhi Wang 001; Zhewei Wei (KDD (1), 2025)

Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative Decoding. - Yunjia Xi; Hangyu Wang; Bo Chen 023; Jianghao Lin; Menghui Zhu; Weiwen Liu; Ruiming Tang; Zhewei Wei; Weinan Zhang 001; Yong Yu 001 (SIGIR, 2025)

Simple and Optimal Algorithms for Heavy Hitters and Frequency Moments in Distributed Models. - Zengfeng Huang; Zhongzheng Xiong; Xiaoyi Zhu; Zhewei Wei (STOC, 2025)

Large-Scale Spectral Graph Neural Networks via Laplacian Sparsification: Technical Report. - Haipeng Ding 002; Zhewei Wei; Yuhang Ye 002 (CoRR, 2025)

Rethinking Link Prediction for Directed Graphs. - Mingguo He; Yuhe Guo; Yanping Zheng; Zhewei Wei; Stephan Günnemann; Xiaokui Xiao (CoRR, 2025)

NeutronTask: Scalable and Efficient Multi-GPU GNN Training with Task Parallelism. - Zhenbo Fu; Xin Ai 006; Qiange Wang; Yanfeng Zhang; Shizhan Lu; Chaoyi Chen; Chunyu Cao; Hao Yuan; Zhewei Wei; Yu Gu 002; Yingyou Wen; Ge Yu 001 (Proc. VLDB Endow., 2025)

Scalable and Effective Graph Neural Networks via Trainable Random Walk Sampling. - Haipeng Ding 002; Zhewei Wei; Yuhang Ye 002 (IEEE Trans. Knowl. Data Eng., 2025)

Exploring the Potential of Large Language Models as Predictors in Dynamic Text-Attributed Graphs. - Runlin Lei; Jiarui Ji; Haipeng Ding 002; Lu Yi 002; Zhewei Wei; Yongchao Liu; Chuntao Hong (CoRR, 2025)

Future Link Prediction Without Memory or Aggregation. - Lu Yi 002; Runlin Lei; Fengran Mo; Yanping Zheng; Zhewei Wei; Yuhang Ye 002 (CoRR, 2025)

TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer. - Jie Peng 005; Zhewei Wei; Yuhang Ye 002 (CoRR, 2025)

A survey of dynamic graph neural networks. - Yanping Zheng; Lu Yi 002; Zhewei Wei (Frontiers Comput. Sci., 2025)

GDGB: A Benchmark for Generative Dynamic Text-Attributed Graph Learning. - Jie Peng 005; Jiarui Ji; Runlin Lei; Zhewei Wei; Yongchao Liu; Chuntao Hong (CoRR, 2025)

ReDiSC: A Reparameterized Masked Diffusion Model for Scalable Node Classification with Structured Predictions. - Yule Li; Yifeng Lu; Zhen Wang 036; Zhewei Wei; Yaliang Li; Bolin Ding (CoRR, 2025)

PageRank Centrality in Directed Graphs with Bounded In-Degree. - Mikkel Thorup; Hanzhi Wang 001; Zhewei Wei; Mingji Yang 001 (CoRR, 2025)

A survey of estimating number of distinct values. - Jiajun Li; Runlin Lei; Zhewei Wei (Frontiers Comput. Sci., 2025)

A survey of geometric graph neural networks: data structures, models and applications. - Jiaqi Han; Jiacheng Cen; Liming Wu; Zongzhao Li; Xiangzhe Kong; Rui Jiao; Ziyang Yu 002; Tingyang Xu; Fandi Wu; Zihe Wang; Hongteng Xu; Zhewei Wei; et al. (Frontiers Comput. Sci., 2025)