Bohang Zhang

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 25

Top Topics

Expressive Power

Convex Optimization

Monotone Boolean Functions

Top Venues

Publications

Bohang Zhang, Jingchu Gai, Yiheng Du, Qiwei Ye, Di He, Liwei Wang
Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness. CoRR (2024)
Bohang Zhang, Xinhua Xue
Ultimate axial strength prediction of concrete-filled double-skin steel tube columns using soft computing methods. Eng. Appl. Artif. Intell. 129 (2024)
Xixi Wu, Yifei Shen, Caihua Shan, Kaitao Song, Siwei Wang, Bohang Zhang, Jiarui Feng, Hong Cheng, Wei Chen, Yun Xiong, Dongsheng Li
Can Graph Learning Improve Task Planning? CoRR (2024)
Kai Yang, Jan Ackermann, Zhenyu He, Guhao Feng, Bohang Zhang, Yunzhen Feng, Qiwei Ye, Di He, Liwei Wang
Do Efficient Transformers Really Save Computation? CoRR (2024)
Bohang Zhang, Lingxiao Zhao, Haggai Maron
On the Expressive Power of Spectral Invariant Graph Neural Networks. CoRR (2024)
Bohang Zhang, Jingchu Gai, Yiheng Du, Qiwei Ye, Di He, Liwei Wang
Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness. ICLR (2024)
Bohang Zhang, Zhaoujun Nan, Sheng Zhou, Zhisheng Niu
Enhanced Sliding Window Superposition Coding for Industrial Automation. CoRR (2023)
Bohang Zhang, Shengjie Luo, Liwei Wang, Di He
Rethinking the Expressive Power of GNNs via Graph Biconnectivity. CoRR (2023)
Bohang Zhang, Zhaojun Nan, Sheng Zhou, Zhisheng Niu
Enhanced Sliding Window Superposition Coding for Industrial Automation. IWCMC (2023)
Guhao Feng, Bohang Zhang, Yuntian Gu, Haotian Ye, Di He, Liwei Wang
Towards Revealing the Mystery behind Chain of Thought: A Theoretical Perspective. NeurIPS (2023)
Jiaye Teng, Bohang Zhang, Ruichen Li, Haowei He, Yequan Wang, Yan Tian, Yang Yuan
Finding Generalization Measures by Contrasting Signal and Noise. ICML (2023)
Guhao Feng, Bohang Zhang, Yuntian Gu, Haotian Ye, Di He, Liwei Wang
Towards Revealing the Mystery behind Chain of Thought: a Theoretical Perspective. CoRR (2023)
Bohang Zhang, Shengjie Luo, Liwei Wang, Di He
Rethinking the Expressive Power of GNNs via Graph Biconnectivity. ICLR (2023)
Bohang Zhang, Guhao Feng, Yiheng Du, Di He, Liwei Wang
A Complete Expressiveness Hierarchy for Subgraph GNNs via Subgraph Weisfeiler-Lehman Tests. CoRR (2023)
Bohang Zhang, Guhao Feng, Yiheng Du, Di He, Liwei Wang
A Complete Expressiveness Hierarchy for Subgraph GNNs via Subgraph Weisfeiler-Lehman Tests. ICML (2023)
Bohang Zhang, Du Jiang, Di He, Liwei Wang
Boosting the Certified Robustness of L-infinity Distance Nets. ICLR (2022)
Bohang Zhang, Du Jiang, Di He, Liwei Wang
Rethinking Lipschitz Neural Networks and Certified Robustness: A Boolean Function Perspective. NeurIPS (2022)
Bohang Zhang, Du Jiang, Di He, Liwei Wang
Rethinking Lipschitz Neural Networks and Certified Robustness: A Boolean Function Perspective. CoRR (2022)
Jikai Jin, Bohang Zhang, Haiyang Wang, Liwei Wang
Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis. CoRR (2021)
Bohang Zhang, Du Jiang, Di He, Liwei Wang
Boosting the Certified Robustness of L-infinity Distance Nets. CoRR (2021)
Jikai Jin, Bohang Zhang, Haiyang Wang, Liwei Wang
Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis. NeurIPS (2021)
Bohang Zhang, Tianle Cai, Zhou Lu, Di He, Liwei Wang
-dist Neurons. CoRR (2021)
Bohang Zhang, Tianle Cai, Zhou Lu, Di He, Liwei Wang
Towards Certifying L-infinity Robustness using Neural Networks with L-inf-dist Neurons. ICML (2021)
Bohang Zhang, Jikai Jin, Cong Fang, Liwei Wang
Improved Analysis of Clipping Algorithms for Non-convex Optimization. CoRR (2020)
Bohang Zhang, Jikai Jin, Cong Fang, Liwei Wang
Improved Analysis of Clipping Algorithms for Non-convex Optimization. NeurIPS (2020)