Zhang, Bohang

17 publications

ICML 2025 Beyond Atoms: Enhancing Molecular Pretrained Representations with 3D Space Modeling Shuqi Lu, Xiaohong Ji, Bohang Zhang, Lin Yao, Siyuan Liu, Zhifeng Gao, Linfeng Zhang, Guolin Ke

NeurIPS 2025 From Sequence to Structure: Uncovering Substructure Reasoning in Transformers Xinnan Dai, Kai Yang, Jay Revolinsky, Kai Guo, Aoran Wang, Bohang Zhang, Jiliang Tang

ICLR 2025 Homomorphism Expressivity of Spectral Invariant Graph Neural Networks Jingchu Gai, Yiheng Du, Bohang Zhang, Haggai Maron, Liwei Wang

ICLR 2025 How Do Large Language Models Understand Graph Patterns? a Benchmark for Graph Pattern Comprehension Xinnan Dai, Haohao Qu, Yifei Shen, Bohang Zhang, Qihao Wen, Wenqi Fan, Dongsheng Li, Jiliang Tang, Caihua Shan

ICLR 2024 Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness Bohang Zhang, Jingchu Gai, Yiheng Du, Qiwei Ye, Di He, Liwei Wang

NeurIPS 2024 Can Graph Learning Improve Planning in LLM-Based Agents? Xixi Wu, Yifei Shen, Caihua Shan, Kaitao Song, Siwei Wang, Bohang Zhang, Jiarui Feng, Hong Cheng, Wei Chen, Yun Xiong, Dongsheng Li

ICML 2024 Do Efficient Transformers Really Save Computation? Kai Yang, Jan Ackermann, Zhenyu He, Guhao Feng, Bohang Zhang, Yunzhen Feng, Qiwei Ye, Di He, Liwei Wang

ICML 2024 On the Expressive Power of Spectral Invariant Graph Neural Networks Bohang Zhang, Lingxiao Zhao, Haggai Maron

ICML 2023 A Complete Expressiveness Hierarchy for Subgraph GNNs via Subgraph Weisfeiler-Lehman Tests Bohang Zhang, Guhao Feng, Yiheng Du, Di He, Liwei Wang

ICML 2023 Finding Generalization Measures by Contrasting Signal and Noise Jiaye Teng, Bohang Zhang, Ruichen Li, Haowei He, Yequan Wang, Yan Tian, Yang Yuan

ICLR 2023 Rethinking the Expressive Power of GNNs via Graph Biconnectivity Bohang Zhang, Shengjie Luo, Liwei Wang, Di He

NeurIPS 2023 Towards Revealing the Mystery Behind Chain of Thought: A Theoretical Perspective Guhao Feng, Bohang Zhang, Yuntian Gu, Haotian Ye, Di He, Liwei Wang

ICLR 2022 Boosting the Certified Robustness of L-Infinity Distance Nets Bohang Zhang, Du Jiang, Di He, Liwei Wang

NeurIPS 2022 Rethinking Lipschitz Neural Networks and Certified Robustness: A Boolean Function Perspective Bohang Zhang, Du Jiang, Di He, Liwei Wang

NeurIPS 2021 Non-Convex Distributionally Robust Optimization: Non-Asymptotic Analysis Jikai Jin, Bohang Zhang, Haiyang Wang, Liwei Wang

ICML 2021 Towards Certifying L-Infinity Robustness Using Neural Networks with L-Inf-Dist Neurons Bohang Zhang, Tianle Cai, Zhou Lu, Di He, Liwei Wang

NeurIPS 2020 Improved Analysis of Clipping Algorithms for Non-Convex Optimization Bohang Zhang, Jikai Jin, Cong Fang, Liwei Wang