Wei, Zhewei

25 publications

ICLR 2026 GDGB: A Benchmark for Generative Dynamic Text-Attributed Graph Learning Jie Peng, Jiarui Ji, Runlin Lei, Zhewei Wei, Yongchao Liu, Chuntao Hong

ICLR 2026 Revisiting Matrix Sketching in Linear Bandits: Achieving Sublinear Regret via Dyadic Block Sketching Dongxie Wen, Hanyan Yin, Xiao Zhang, Peng Zhao, Lijun Zhang, Zhewei Wei

ICLR 2026 Robustness in Text-Attributed Graph Learning: Insights, Trade-Offs, and New Defenses Runlin Lei, Lu Yi, Mingguo He, Pengyu Qiu, Zhewei Wei, Yongchao Liu, Chuntao Hong

ICLR 2026 TetraGT: Tetrahedral Geometry-Driven Explicit Token Interactions with Graph Transformer for Molecular Representation Learning Jinjia Feng, Zhewei Wei, Taifeng Wang, Zongyang Qiu

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

ICML 2025 Dimension-Free Adaptive Subgradient Methods with Frequent Directions Sifan Yang, Yuanyu Wan, Peijia Li, Yibo Wang, Xiao Zhang, Zhewei Wei, Lijun Zhang

IJCAI 2025 Fast Second-Order Online Kernel Learning Through Incremental Matrix Sketching and Decomposition Dongxie Wen, Xiao Zhang, Zhewei Wei, Chenping Hou, Shuai Li, Weinan Zhang

NeurIPS 2025 Future Link Prediction Without Memory or Aggregation Lu Yi, Runlin Lei, Fengran Mo, Yanping Zheng, Zhewei Wei, Yuhang Ye

ICML 2025 Position: Spectral GNNs Rely Less on Graph Fourier Basis than Conceived Yuhe Guo, Huayi Tang, Jiahong Ma, Hongteng Xu, Zhewei Wei

ICLR 2025 Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier Lu Yi, Zhewei Wei

ICLR 2025 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

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

WACV 2024 GTP-ViT: Efficient Vision Transformers via Graph-Based Token Propagation Xuwei Xu, Sen Wang, Yudong Chen, Yanping Zheng, Zhewei Wei, Jiajun Liu

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

ICLR 2024 PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable Spectral Polynomial Filters Jingyu Chen, Runlin Lei, 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

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

ICML 2023 Graph Neural Networks with Learnable and Optimal Polynomial Bases Yuhe Guo, Zhewei Wei

ICLR 2023 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

NeurIPS 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, Yaliang Li, Bolin Ding, Zhewei Wei

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

ICML 2021 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

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

ICML 2020 Simple and Deep Graph Convolutional Networks Ming Chen, Zhewei Wei, Zengfeng Huang, Bolin Ding, Yaliang Li