Bohang Zhang
Bohang Zhang
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Rethinking the expressive power of gnns via graph biconnectivity
B Zhang*, S Luo*, L Wang, D He
ICLR 2023, Outstanding Paper, 2023
Towards certifying l-infinity robustness using neural networks with l-inf-dist neurons
B Zhang, T Cai, Z Lu, D He, L Wang
ICML 2021, 12368-12379, 2021
Improved Analysis of Clipping Algorithms for Non-convex Optimization
B Zhang*, J Jin*, C Fang, L Wang
NeurIPS 2020, 15511--15521, 2020
Towards Revealing the Mystery behind Chain of Thought: a Theoretical Perspective
G Feng*, B Zhang*, Y Gu*, H Ye*, D He, L Wang
NeurIPS 2023, Oral Presentation, 2023
Rethinking Lipschitz Neural Networks and Certified Robustness: A Boolean Function Perspective
B Zhang, D Jiang, D He, L Wang
NeurIPS 2022, Oral Presentation, 2022
Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis
J Jin*, B Zhang*, H Wang, L Wang
NeurIPS 2021, 2021
A Complete Expressiveness Hierarchy for Subgraph GNNs via Subgraph Weisfeiler-Lehman Tests
B Zhang, G Feng, Y Du, D He, L Wang
ICML 2023, 2023
Boosting the certified robustness of l-infinity distance nets
B Zhang, D Jiang, D He, L Wang
ICLR 2022, 2022
Do Efficient Transformers Really Save Computation?
K Yang, J Ackermann, Z He, G Feng, B Zhang, Y Feng, Q Ye, D He, ...
arXiv preprint arXiv:2402.13934, 2024
Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness
B Zhang*, J Gai*, Y Du, Q Ye, D He, L Wang
ICLR 2024, Outstanding Paper Honorable Mention, 2024
On the Expressive Power of Spectral Invariant Graph Neural Networks
B Zhang, L Zhao, H Maron
arXiv preprint arXiv:2406.04336, 2024
Finding Generalization Measures by Contrasting Signal and Noise
J Teng, B Zhang, R Li, H He, Y Wang, Y Tian, Y Yuan
ICML 2023, 2023
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