Bohang Zhang

According to our database, Bohang Zhang authored at least 18 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Ultimate axial strength prediction of concrete-filled double-skin steel tube columns using soft computing methods.

Bohang Zhang, Xinhua Xue

Eng. Appl. Artif. Intell., 2024

How Do Large Language Models Understand Graph Patterns? A Benchmark for Graph Pattern Comprehension.

Xinnan Dai, Haohao Qu, Yifen Shen, Bohang Zhang, Qihao Wen, Wenqi Fan, Dongsheng Li, Jiliang Tang, Caihua Shan

CoRR, 2024

Can Graph Learning Improve Task Planning?

Xixi Wu, Yifei Shen, Caihua Shan, Kaitao Song, Siwei Wang, Bohang Zhang, Jiarui Feng, Hong Cheng, Wei Chen, Yun Xiong, Dongsheng Li

CoRR, 2024

On the Expressive Power of Spectral Invariant Graph Neural Networks.

Bohang Zhang, Lingxiao Zhao, Haggai Maron

Proceedings of the Forty-first International Conference on Machine Learning, 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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness.

Bohang Zhang, Jingchu Gai, Yiheng Du, Qiwei Ye, Di He, Liwei Wang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Enhanced Sliding Window Superposition Coding for Industrial Automation.

Bohang Zhang, Zhaoujun Nan, Sheng Zhou, Zhisheng Niu

CoRR, 2023

Towards Revealing the Mystery behind Chain of Thought: A Theoretical Perspective.

Guhao Feng, Bohang Zhang, Yuntian Gu, Haotian Ye, Di He, Liwei Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Enhanced Sliding Window Superposition Coding for Industrial Automation.

Bohang Zhang, Zhaojun Nan, Sheng Zhou, Zhisheng Niu

Proceedings of the International Wireless Communications and Mobile Computing, 2023

A Complete Expressiveness Hierarchy for Subgraph GNNs via Subgraph Weisfeiler-Lehman Tests.

Bohang Zhang, Guhao Feng, Yiheng Du, Di He, Liwei Wang

Proceedings of the International Conference on Machine Learning, 2023

Finding Generalization Measures by Contrasting Signal and Noise.

Jiaye Teng, Bohang Zhang, Ruichen Li, Haowei He, Yequan Wang, Yan Tian, Yang Yuan

Proceedings of the International Conference on Machine Learning, 2023

Rethinking the Expressive Power of GNNs via Graph Biconnectivity.

Bohang Zhang, Shengjie Luo, Liwei Wang, Di He

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Rethinking Lipschitz Neural Networks and Certified Robustness: A Boolean Function Perspective.

Bohang Zhang, Du Jiang, Di He, Liwei Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Boosting the Certified Robustness of L-infinity Distance Nets.

Bohang Zhang, Du Jiang, Di He, Liwei Wang

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Towards Certifying 𝓁_∞ Robustness using Neural Networks with 𝓁_∞-dist Neurons.

Bohang Zhang, Tianle Cai, Zhou Lu, Di He, Liwei Wang

CoRR, 2021

Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis.

Jikai Jin, Bohang Zhang, Haiyang Wang, Liwei Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Towards Certifying L-infinity Robustness using Neural Networks with L-inf-dist Neurons.

Bohang Zhang, Tianle Cai, Zhou Lu, Di He, Liwei Wang

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Improved Analysis of Clipping Algorithms for Non-convex Optimization.

Bohang Zhang, Jikai Jin, Cong Fang, Liwei Wang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020