Bohang Zhang - RankMe

35 papers A* 16B 1Journal 18

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Beyond Atoms: Enhancing Molecular Pretrained Representations with 3D Space Modeling. ICML Shuqi Lu, Xiaohong Ji, Bohang Zhang, Lin Yao, Siyuan Liu, Zhifeng Gao, Linfeng Zhang, Guolin Ke
2025	J	`jnl`	Beyond Atoms: Enhancing Molecular Pretrained Representations with 3D Space Modeling. CoRR Shuqi Lu, Xiaohong Ji, Bohang Zhang, Lin Yao, Siyuan Liu, Zhifeng Gao, Linfeng Zhang, Guolin Ke
2025	J	`jnl`	From Sequence to Structure: Uncovering Substructure Reasoning in Transformers. CoRR Xinnan Dai, Kai Yang, Jay Revolinsky, Kai Guo, Aoran Wang, Bohang Zhang, Jiliang Tang
2025	A*	`conf`	Homomorphism Expressivity of Spectral Invariant Graph Neural Networks. ICLR Jingchu Gai, Yiheng Du, Bohang Zhang, Haggai Maron, Liwei Wang
2025	J	`jnl`	Homomorphism Expressivity of Spectral Invariant Graph Neural Networks. CoRR Jingchu Gai, Yiheng Du, Bohang Zhang, Haggai Maron, Liwei Wang
2025	A*	`conf`	How Do Large Language Models Understand Graph Patterns? A Benchmark for Graph Pattern Comprehension. ICLR Xinnan Dai, Haohao Qu, Yifei Shen, Bohang Zhang, Qihao Wen, Wenqi Fan, Dongsheng Li, Jiliang Tang, Caihua Shan
2024	A*	`conf`	Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness. ICLR Bohang Zhang, Jingchu Gai, Yiheng Du, Qiwei Ye, Di He, Liwei Wang
2024	J	`jnl`	Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness. CoRR Bohang Zhang, Jingchu Gai, Yiheng Du, Qiwei Ye, Di He, Liwei Wang
2024	A*	`conf`	Can Graph Learning Improve Planning in LLM-based Agents? NeurIPS Xixi Wu, Yifei Shen, Caihua Shan, Kaitao Song, Siwei Wang, Bohang Zhang, Jiarui Feng, Hong Cheng, Wei Chen, Yun Xiong, Dongsheng Li
2024	J	`jnl`	Can Graph Learning Improve Task Planning? CoRR Xixi Wu, Yifei Shen, Caihua Shan, Kaitao Song, Siwei Wang, Bohang Zhang, Jiarui Feng, Hong Cheng, Wei Chen, Yun Xiong, Dongsheng Li
2024	A*	`conf`	Do Efficient Transformers Really Save Computation? ICML Kai Yang, Jan Ackermann, Zhenyu He, Guhao Feng, Bohang Zhang, Yunzhen Feng, Qiwei Ye, Di He, Liwei Wang
2024	J	`jnl`	Do Efficient Transformers Really Save Computation? CoRR Kai Yang, Jan Ackermann, Zhenyu He, Guhao Feng, Bohang Zhang, Yunzhen Feng, Qiwei Ye, Di He, Liwei Wang
2024	J	`jnl`	How Do Large Language Models Understand Graph Patterns? A Benchmark for Graph Pattern Comprehension. CoRR Xinnan Dai, Haohao Qu, Yifen Shen, Bohang Zhang, Qihao Wen, Wenqi Fan, Dongsheng Li, Jiliang Tang, Caihua Shan
2024	A*	`conf`	On the Expressive Power of Spectral Invariant Graph Neural Networks. ICML Bohang Zhang, Lingxiao Zhao, Haggai Maron
2024	J	`jnl`	On the Expressive Power of Spectral Invariant Graph Neural Networks. CoRR Bohang Zhang, Lingxiao Zhao, Haggai Maron
2024	J	`jnl`	Ultimate axial strength prediction of concrete-filled double-skin steel tube columns using soft computing methods. Eng. Appl. Artif. Intell. Bohang Zhang, Xinhua Xue
2023	A*	`conf`	A Complete Expressiveness Hierarchy for Subgraph GNNs via Subgraph Weisfeiler-Lehman Tests. ICML Bohang Zhang, Guhao Feng, Yiheng Du, Di He, Liwei Wang
2023	J	`jnl`	A Complete Expressiveness Hierarchy for Subgraph GNNs via Subgraph Weisfeiler-Lehman Tests. CoRR Bohang Zhang, Guhao Feng, Yiheng Du, Di He, Liwei Wang
2023	B	`conf`	Enhanced Sliding Window Superposition Coding for Industrial Automation. IWCMC Bohang Zhang, Zhaojun Nan, Sheng Zhou, Zhisheng Niu
2023	J	`jnl`	Enhanced Sliding Window Superposition Coding for Industrial Automation. CoRR Bohang Zhang, Zhaojun Nan, Sheng Zhou, Zhisheng Niu
2023	A*	`conf`	Finding Generalization Measures by Contrasting Signal and Noise. ICML Jiaye Teng, Bohang Zhang, Ruichen Li, Haowei He, Yequan Wang, Yan Tian, Yang Yuan
2023	A*	`conf`	Rethinking the Expressive Power of GNNs via Graph Biconnectivity. ICLR Bohang Zhang, Shengjie Luo, Liwei Wang, Di He
2023	J	`jnl`	Rethinking the Expressive Power of GNNs via Graph Biconnectivity. CoRR Bohang Zhang, Shengjie Luo, Liwei Wang, Di He
2023	A*	`conf`	Towards Revealing the Mystery behind Chain of Thought: A Theoretical Perspective. NeurIPS Guhao Feng, Bohang Zhang, Yuntian Gu, Haotian Ye, Di He, Liwei Wang
2023	J	`jnl`	Towards Revealing the Mystery behind Chain of Thought: a Theoretical Perspective. CoRR Guhao Feng, Bohang Zhang, Yuntian Gu, Haotian Ye, Di He, Liwei Wang
2022	A*	`conf`	Boosting the Certified Robustness of L-infinity Distance Nets. ICLR Bohang Zhang, Du Jiang, Di He, Liwei Wang
2022	A*	`conf`	Rethinking Lipschitz Neural Networks and Certified Robustness: A Boolean Function Perspective. NeurIPS Bohang Zhang, Du Jiang, Di He, Liwei Wang
2022	J	`jnl`	Rethinking Lipschitz Neural Networks and Certified Robustness: A Boolean Function Perspective. CoRR Bohang Zhang, Du Jiang, Di He, Liwei Wang
2021	J	`jnl`	Boosting the Certified Robustness of L-infinity Distance Nets. CoRR Bohang Zhang, Du Jiang, Di He, Liwei Wang
2021	A*	`conf`	Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis. NeurIPS Jikai Jin, Bohang Zhang, Haiyang Wang, Liwei Wang
2021	J	`jnl`	Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis. CoRR Jikai Jin, Bohang Zhang, Haiyang Wang, Liwei Wang
2021	A*	`conf`	Towards Certifying L-infinity Robustness using Neural Networks with L-inf-dist Neurons. ICML Bohang Zhang, Tianle Cai, Zhou Lu, Di He, Liwei Wang
2021	J	`jnl`	Towards Certifying 𝓁 CoRR Bohang Zhang, Tianle Cai, Zhou Lu, Di He, Liwei Wang
2020	A*	`conf`	Improved Analysis of Clipping Algorithms for Non-convex Optimization. NeurIPS Bohang Zhang, Jikai Jin, Cong Fang, Liwei Wang
2020	J	`jnl`	Improved Analysis of Clipping Algorithms for Non-convex Optimization. CoRR Bohang Zhang, Jikai Jin, Cong Fang, Liwei Wang