| 2026 | ACL | MotifAgent: Learning Molecular Assembly through Multi-Agent Collaboration for Chemical Language Understanding. | Jinjia Feng, Wenda Wang, Zhewei Wei |
| 2026 | ACL | GRAPHIA: Harnessing Social Graph Data to Enhance LLM-Based Social Simulation. | Jiarui Ji, Zehua Zhang, Zhewei Wei, Bin Tong, Guan Wang, Bo Zheng |
| 2026 | KDD | AbFlow: End-to-end Paratope-Centric Antibody Design by Interaction Enhanced Flow Matching. | Wenda Wang, Yang Zhang, Zhewei Wei, Wenbing Huang |
| 2026 | SODA | PageRank Centrality in Directed Graphs with Bounded In-Degree. | Mikkel Thorup, Hanzhi Wang, Zhewei Wei, Mingji Yang |
| 2025 | AAAI | Advancing Retrosynthesis with Retrieval-Augmented Graph Generation. | Anjie Qiao, Zhen Wang, Jiahua Rao, Yuedong Yang, Zhewei Wei |
| 2025 | ACL | Towards Effective and Efficient Continual Pre-training of Large Language Models. | 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 |
| 2025 | ACL | LLM-Based Multi-Agent Systems are Scalable Graph Generative Models. | Jiarui Ji, Runlin Lei, Jialing Bi, Zhewei Wei, Xu Chen, Yankai Lin, Xuchen Pan, Yaliang Li, Bolin Ding |
| 2025 | ADMA | A Novel Historical-Meteorology-Informed Approach for One-Week Air Quality Forecasting. | Xiang Li, Huihui Zheng, Zhewei Wei |
| 2025 | ICLR | TGB-Seq Benchmark: Challenging Temporal GNNs with Complex Sequential Dynamics. | Lu Yi, Jie Peng, Yanping Zheng, Fengran Mo, Zhewei Wei, Yuhang Ye, Yue Zixuan, Zengfeng Huang |
| 2025 | ICLR | Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier. | Lu Yi, Zhewei Wei |
| 2025 | ICML | Position: Spectral GNNs Rely Less on Graph Fourier Basis than Conceived. | Yuhe Guo, Huayi Tang, Jiahong Ma, Hongteng Xu, Zhewei Wei |
| 2025 | ICML | Dimension-Free Adaptive Subgradient Methods with Frequent Directions. | Sifan Yang, Yuanyu Wan, Peijia Li, Yibo Wang, Xiao Zhang, Zhewei Wei, Lijun Zhang |
| 2025 | IJCAI | Fast Second-Order Online Kernel Learning Through Incremental Matrix Sketching and Decomposition. | Dongxie Wen, Xiao Zhang, Zhewei Wei, Chenping Hou, Shuai Li, Weinan Zhang |
| 2025 | IJCNN | Long-term Spatio-Temporal Forecasting using Spectral Graph Neural Networks. | Xiang Li, Yanping Zheng, Zhewei Wei, Ye Yuan |
| 2025 | KDD | Large-Scale Spectral Graph Neural Networks via Laplacian Sparsification. | Haipeng Ding, Zhewei Wei, Yuhang Ye |
| 2025 | KDD | TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer. | Jie Peng, Zhewei Wei, Yuhang Ye |
| 2025 | KDD | Mixing Time Matters: Accelerating Effective Resistance Estimation via Bidirectional Method. | Guanyu Cui, Hanzhi Wang, Zhewei Wei |
| 2025 | SIGIR | Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative Decoding. | Yunjia Xi, Hangyu Wang, Bo Chen, Jianghao Lin, Menghui Zhu, Weiwen Liu, Ruiming Tang, Zhewei Wei, Weinan Zhang, Yong Yu |
| 2025 | STOC | Simple and Optimal Algorithms for Heavy Hitters and Frequency Moments in Distributed Models. | Zengfeng Huang, Zhongzheng Xiong, Xiaoyi Zhu, Zhewei Wei |
| 2024 | CIKM | Federated Heterogeneous Contrastive Distillation for Molecular Representation Learning. | Jinjia Feng, Zhen Wang, Zhewei Wei, Yaliang Li, Bolin Ding, Hongteng Xu |
| 2024 | CIKM | Beyond Over-smoothing: Uncovering the Trainability Challenges in Deep Graph Neural Networks. | Jie Peng, Runlin Lei, Zhewei Wei |
| 2024 | DASFAA | HierAffinity: Predicting Protein-Ligand Binding Affinity With Hierarchical Modeling. | Yang Zhang, Zhewei Wei, Wenbing Huang, Chongxuan Li |
| 2024 | DASFAA | TransPocket: Structural and Geometric Transformer for Ligand Binding Site Detection. | Yang Zhang, Zhewei Wei, Wenbing Huang, Chongxuan Li |
| 2024 | EMNLP | 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 |
| 2024 | ICDT | Approximating Single-Source Personalized PageRank with Absolute Error Guarantees. | Zhewei Wei, Ji-Rong Wen, Mingji Yang |
| 2024 | ICLR | PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable Spectral Polynomial Filters. | Jingyu Chen, Runlin Lei, Zhewei Wei |
| 2024 | ICML | EquiPocket: an E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction. | Yang Zhang, Zhewei Wei, Ye Yuan, Chongxuan Li, Wenbing Huang |
| 2024 | KDD | PolyFormer: Scalable Node-wise Filters via Polynomial Graph Transformer. | Jiahong Ma, Mingguo He, Zhewei Wei |
| 2024 | WWW | Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials. | Mingguo He, Zhewei Wei, Shikun Feng, Zhengjie Huang, Weibin Li, Yu Sun, Dianhai Yu |
| 2024 | WWW | Exploring Neural Scaling Law and Data Pruning Methods For Node Classification on Large-scale Graphs. | Zhen Wang, Yaliang Li, Bolin Ding, Yule Li, Zhewei Wei |
| 2024 | WACV | GTP-ViT: Efficient Vision Transformers via Graph-based Token Propagation. | Xuwei Xu, Sen Wang, Yudong Chen, Yanping Zheng, Zhewei Wei, Jiajun Liu |
| 2024 | STOC | Revisiting Local Computation of PageRank: Simple and Optimal. | Hanzhi Wang, Zhewei Wei, Ji-Rong Wen, Mingji Yang |
| 2023 | ICALP | On Range Summary Queries. | Peyman Afshani, Pingan Cheng, Aniket Basu Roy, Zhewei Wei |
| 2023 | ICASSP | Preformer: Predictive Transformer with Multi-Scale Segment-Wise Correlations for Long-Term Time Series Forecasting. | Dazhao Du, Bing Su, Zhewei Wei |
| 2023 | ICLR | Uni-Mol: A Universal 3D Molecular Representation Learning Framework. | Gengmo Zhou, Zhifeng Gao, Qiankun Ding, Hang Zheng, Hongteng Xu, Zhewei Wei, Linfeng Zhang, Guolin Ke |
| 2023 | ICML | Graph Neural Networks with Learnable and Optimal Polynomial Bases. | Yuhe Guo, Zhewei Wei |
| 2023 | KDD | MGNN: Graph Neural Networks Inspired by Distance Geometry Problem. | Guanyu Cui, Zhewei Wei |
| 2023 | KDD | Clenshaw Graph Neural Networks. | Yuhe Guo, Zhewei Wei |
| 2023 | KDD | Optimal Dynamic Subset Sampling: Theory and Applications. | Lu Yi, Hanzhi Wang, Zhewei Wei |
| 2022 | CIKM | MGMAE: Molecular Representation Learning by Reconstructing Heterogeneous Graphs with A High Mask Ratio. | Jinjia Feng, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei, Hongteng Xu |
| 2022 | ICDE | Building Graphs at Scale via Sequence of Edges: Model and Generation Algorithms (Extended Abstract). | Yu Liu, Lei Zou, Zhewei Wei |
| 2022 | ICDM | Predicting Protein-Ligand Binding Affinity via Joint Global-Local Interaction Modeling. | Yang Zhang, Gengmo Zhou, Zhewei Wei, Hongteng Xu |
| 2022 | KDD | Sampling-based Estimation of the Number of Distinct Values in Distributed Environment. | Jiajun Li, Zhewei Wei, Bolin Ding, Xiening Dai, Lu Lu, Jingren Zhou |
| 2022 | KDD | Graph Neural Networks with Node-wise Architecture. | Zhen Wang, Zhewei Wei, Yaliang Li, Weirui Kuang, Bolin Ding |
| 2022 | KDD | Instant Graph Neural Networks for Dynamic Graphs. | Yanping Zheng, Hanzhi Wang, Zhewei Wei, Jiajun Liu, Sibo Wang |
| 2022 | SC | Optimizing Random Access to Hierarchically-Compressed Data on GPU. | Feng Zhang, Yihua Hu, Haipeng Ding, Zhiming Yao, Zhewei Wei, Xiao Zhang, Xiaoyong Du |
| 2021 | ICML | 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 |
| 2021 | KDD | Approximate Graph Propagation. | Hanzhi Wang, Mingguo He, Zhewei Wei, Sibo Wang, Ye Yuan, Xiaoyong Du, Ji-Rong Wen |
| 2021 | SIGMOD | Unifying the Global and Local Approaches: An Efficient Power Iteration with Forward Push. | Hao Wu, Junhao Gan, Zhewei Wei, Rui Zhang |
| 2020 | ICML | Simple and Deep Graph Convolutional Networks. | Ming Chen, Zhewei Wei, Zengfeng Huang, Bolin Ding, Yaliang Li |
| 2020 | KDD | Personalized PageRank to a Target Node, Revisited. | Hanzhi Wang, Zhewei Wei, Junhao Gan, Sibo Wang, Zengfeng Huang |
| 2020 | SIGMOD | Influence Maximization Revisited: Efficient Reverse Reachable Set Generation with Bound Tightened. | Qintian Guo, Sibo Wang, Zhewei Wei, Ming Chen |
| 2020 | SIGMOD | Exact Single-Source SimRank Computation on Large Graphs. | Hanzhi Wang, Zhewei Wei, Ye Yuan, Xiaoyong Du, Ji-Rong Wen |
| 2019 | KDD | Scalable Graph Embeddings via Sparse Transpose Proximities. | Yuan Yin, Zhewei Wei |
| 2019 | SIGMOD | CrowdGame: A Game-Based Crowdsourcing System for Cost-Effective Data Labeling. | Tongyu Liu, Jingru Yang, Ju Fan, Zhewei Wei, Guoliang Li, Xiaoyong Du |
| 2019 | SIGMOD | PRSim: Sublinear Time SimRank Computation on Large Power-Law Graphs. | Zhewei Wei, Xiaodong He, Xiaokui Xiao, Sibo Wang, Yu Liu, Xiaoyong Du, Ji-Rong Wen |
| 2019 | SIGMOD | Efficient Estimation of Heat Kernel PageRank for Local Clustering. | Renchi Yang, Xiaokui Xiao, Zhewei Wei, Sourav S. Bhowmick, Jun Zhao, Rong-Hua Li |
| 2018 | SIGMOD | TopPPR: Top-k Personalized PageRank Queries with Precision Guarantees on Large Graphs. | Zhewei Wei, Xiaodong He, Xiaokui Xiao, Sibo Wang, Shuo Shang, Ji-Rong Wen |
| 2017 | ESA | Independent Range Sampling, Revisited. | Peyman Afshani, Zhewei Wei |
| 2017 | ICDE | Collective Travel Planning in Spatial Networks. | Shuo Shang, Lisi Chen, Zhewei Wei, Christian S. Jensen, Ji-Rong Wen, Panos Kalnis |
| 2017 | ICDE | Tracking Matrix Approximation over Distributed Sliding Windows. | Haida Zhang, Zengfeng Huang, Zhewei Wei, Wenjie Zhang, Xuemin Lin |
| 2017 | KDD | FORA: Simple and Effective Approximate Single-Source Personalized PageRank. | Sibo Wang, Renchi Yang, Xiaokui Xiao, Zhewei Wei, Yin Yang |
| 2016 | APWEB | Probabilistic Nearest Neighbor Query in Traffic-Aware Spatial Networks. | Shuo Shang, Zhewei Wei, Ji-Rong Wen, Shunzhi Zhu |
| 2016 | SIGMOD | Matrix Sketching Over Sliding Windows. | Zhewei Wei, Xuancheng Liu, Feifei Li, Shuo Shang, Xiaoyong Du, Ji-Rong Wen |
| 2015 | SIGMOD | Persistent Data Sketching. | Zhewei Wei, Ge Luo, Ke Yi, Xiaoyong Du, Ji-Rong Wen |
| 2014 | ESA | Equivalence between Priority Queues and Sorting in External Memory. | Zhewei Wei, Ke Yi |
| 2013 | SODA | The Space Complexity of 2-Dimensional Approximate Range Counting. | Zhewei Wei, Ke Yi |
| 2012 | PODS | Mergeable summaries. | Pankaj K. Agarwal, Graham Cormode, Zengfeng Huang, Jeff M. Phillips, Zhewei Wei, Ke Yi |
| 2011 | PODS | Beyond simple aggregates: indexing for summary queries. | Zhewei Wei, Ke Yi |
| 2010 | PODS | Cache-oblivious hashing. | Rasmus Pagh, Zhewei Wei, Ke Yi, Qin Zhang |
| 2009 | SPAA | Dynamic external hashing: the limit of buffering. | Zhewei Wei, Ke Yi, Qin Zhang |