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Bohang Zhang
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2020 – today
- 2024
- [j1]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: 107676 (2024) - [c13]Bohang Zhang, Jingchu Gai, Yiheng Du, Qiwei Ye, Di He, Liwei Wang:
Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness. ICLR 2024 - [c12]Kai Yang, Jan Ackermann, Zhenyu He, Guhao Feng, Bohang Zhang, Yunzhen Feng, Qiwei Ye, Di He, Liwei Wang:
Do Efficient Transformers Really Save Computation? ICML 2024 - [c11]Bohang Zhang, Lingxiao Zhao, Haggai Maron:
On the Expressive Power of Spectral Invariant Graph Neural Networks. ICML 2024 - [i13]Bohang Zhang, Jingchu Gai, Yiheng Du, Qiwei Ye, Di He, Liwei Wang:
Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness. CoRR abs/2401.08514 (2024) - [i12]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 abs/2402.13934 (2024) - [i11]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 abs/2405.19119 (2024) - [i10]Bohang Zhang, Lingxiao Zhao, Haggai Maron:
On the Expressive Power of Spectral Invariant Graph Neural Networks. CoRR abs/2406.04336 (2024) - 2023
- [c10]Bohang Zhang, Shengjie Luo, Liwei Wang, Di He:
Rethinking the Expressive Power of GNNs via Graph Biconnectivity. ICLR 2023 - [c9]Jiaye Teng, Bohang Zhang, Ruichen Li, Haowei He, Yequan Wang, Yan Tian, Yang Yuan:
Finding Generalization Measures by Contrasting Signal and Noise. ICML 2023: 33983-34010 - [c8]Bohang Zhang, Guhao Feng, Yiheng Du, Di He, Liwei Wang:
A Complete Expressiveness Hierarchy for Subgraph GNNs via Subgraph Weisfeiler-Lehman Tests. ICML 2023: 41019-41077 - [c7]Bohang Zhang, Zhaojun Nan
, Sheng Zhou, Zhisheng Niu:
Enhanced Sliding Window Superposition Coding for Industrial Automation. IWCMC 2023: 31-36 - [c6]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 - [i9]Bohang Zhang, Shengjie Luo, Liwei Wang, Di He:
Rethinking the Expressive Power of GNNs via Graph Biconnectivity. CoRR abs/2301.09505 (2023) - [i8]Bohang Zhang, Guhao Feng, Yiheng Du, Di He, Liwei Wang:
A Complete Expressiveness Hierarchy for Subgraph GNNs via Subgraph Weisfeiler-Lehman Tests. CoRR abs/2302.07090 (2023) - [i7]Bohang Zhang, Zhaoujun Nan, Sheng Zhou, Zhisheng Niu:
Enhanced Sliding Window Superposition Coding for Industrial Automation. CoRR abs/2303.04406 (2023) - [i6]Guhao Feng, Bohang Zhang, Yuntian Gu, Haotian Ye, Di He, Liwei Wang:
Towards Revealing the Mystery behind Chain of Thought: a Theoretical Perspective. CoRR abs/2305.15408 (2023) - 2022
- [c5]Bohang Zhang, Du Jiang, Di He, Liwei Wang:
Boosting the Certified Robustness of L-infinity Distance Nets. ICLR 2022 - [c4]Bohang Zhang, Du Jiang, Di He, Liwei Wang:
Rethinking Lipschitz Neural Networks and Certified Robustness: A Boolean Function Perspective. NeurIPS 2022 - [i5]Bohang Zhang, Du Jiang, Di He, Liwei Wang:
Rethinking Lipschitz Neural Networks and Certified Robustness: A Boolean Function Perspective. CoRR abs/2210.01787 (2022) - 2021
- [c3]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: 12368-12379 - [c2]Jikai Jin, Bohang Zhang, Haiyang Wang, Liwei Wang:
Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis. NeurIPS 2021: 2771-2782 - [i4]Bohang Zhang, Tianle Cai, Zhou Lu, Di He, Liwei Wang:
Towards Certifying 𝓁∞ Robustness using Neural Networks with 𝓁∞-dist Neurons. CoRR abs/2102.05363 (2021) - [i3]Bohang Zhang, Du Jiang, Di He, Liwei Wang:
Boosting the Certified Robustness of L-infinity Distance Nets. CoRR abs/2110.06850 (2021) - [i2]Jikai Jin, Bohang Zhang, Haiyang Wang, Liwei Wang:
Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis. CoRR abs/2110.12459 (2021) - 2020
- [c1]Bohang Zhang, Jikai Jin, Cong Fang, Liwei Wang:
Improved Analysis of Clipping Algorithms for Non-convex Optimization. NeurIPS 2020 - [i1]Bohang Zhang, Jikai Jin, Cong Fang, Liwei Wang:
Improved Analysis of Clipping Algorithms for Non-convex Optimization. CoRR abs/2010.02519 (2020)
Coauthor Index
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last updated on 2024-10-07 22:19 CEST by the dblp team
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