Zhang, Muhan

52 publications

NeurIPS 2025 Beyond Single-Task: Robust Multi-Task Length Generalization for LLMs Yi Hu, Shijia Kang, Haotong Yang, Haotian Xu, Muhan Zhang

ICML 2025 CLOVER: Cross-Layer Orthogonal Vectors Pruning Fanxu Meng, Pingzhi Tang, Fan Jiang, Muhan Zhang

ICLR 2025 GOFA: A Generative One-for-All Model for Joint Graph Language Modeling Lecheng Kong, Jiarui Feng, Hao Liu, Chengsong Huang, Jiaxin Huang, Yixin Chen, Muhan Zhang

ICML 2025 Geometric Representation Condition Improves Equivariant Molecule Generation Zian Li, Cai Zhou, Xiyuan Wang, Xingang Peng, Muhan Zhang

ICML 2025 Griffin: Towards a Graph-Centric Relational Database Foundation Model Yanbo Wang, Xiyuan Wang, Quan Gan, Minjie Wang, Qibin Yang, David Wipf, Muhan Zhang

JMLR 2025 Improving Graph Neural Networks on Multi-Node Tasks with the Labeling Trick Xiyuan Wang, Pan Li, Muhan Zhang

NeurIPS 2025 LoRASuite: Efficient LoRA Adaptation Across Large Language Model Upgrades Yanan Li, Fanxu Meng, Muhan Zhang, Shiai Zhu, Shangguang Wang, Mengwei Xu

NeurIPS 2025 LooGLE V2: Are LLMs Ready for Real World Long Dependency Challenges? ZiyuanHe, Yuxuan Wang, Jiaqi Li, Kexin Liang, Muhan Zhang

ICLR 2025 Number Cookbook: Number Understanding of Language Models and How to Improve It Haotong Yang, Yi Hu, Shijia Kang, Zhouchen Lin, Muhan Zhang

NeurIPS 2025 OCN: Effectively Utilizing Higher-Order Common Neighbors for Better Link Prediction Juntong Wang, Xiyuan Wang, Muhan Zhang

ICLR 2025 On the Completeness of Invariant Geometric Deep Learning Models Zian Li, Xiyuan Wang, Shijia Kang, Muhan Zhang

NeurIPS 2025 PHYBench: Holistic Evaluation of Physical Perception and Reasoning in Large Language Models Shi Qiu, Shaoyang Guo, Zhuo-Yang Song, Yunbo Sun, Zeyu Cai, Jiashen Wei, Tianyu Luo, Yixuan Yin, Zhang Haoxu, Yi Hu, Chenyang Wang, Chencheng Tang, Haoling Chang, Qi Liu, Ziheng Zhou, Tianyu Zhang, Jingtian Zhang, Zhangyi Liu, Minghao Li, Yuku Zhang, Boxuan Jing, Xianqi Yin, Yutong Ren, Zizhuo Fu, Jiaming Ji, Weike Wang, Xudong Tian, Anqi Lv, Laifu Man, Jianxiang Li, Feiyu Tao, Qihua Sun, Zhou Liang, Yushu Mu, Zhongxuan Li, Jing-Jun Zhang, Shutao Zhang, Xiaotian Li, Xingqi Xia, Jiawei Lin, Zheyu Shen, Jiahang Chen, Qiuhao Xiong, Binran Wang, Fengyuan Wang, Niziyang, Bohan Zhang, Fan Cui, Shaochangkun, Qing-Hong Cao, Ming-xing Luo, Muhan Zhang, Hua Xing Zhu

NeurIPS 2025 TransMLA: Migrating GQA Models to MLA with Full DeepSeek Compatibility and Speedup Fanxu Meng, Pingzhi Tang, Zengwei Yao, Xing Sun, Muhan Zhang

ICLRW 2025 VACT: A Video Automatic Causal Testing System and a Benchmark Haotong Yang, Qingyuan Zheng, Yunjian Gao, Yongkun Yang, Yangbo He, Zhouchen Lin, Muhan Zhang

NeurIPS 2024 4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs Minjie Wang, Quan Gan, David Wipf, Zhenkun Cai, Ning Li, Jianheng Tang, Yanlin Zhang, Zizhao Zhang, Zunyao Mao, Yakun Song, Yanbo Wang, Jiahang Li, Han Zhang, Guang Yang, Xiao Qin, Chuan Lei, Muhan Zhang, Weinan Zhang, Christos Faloutsos, Zheng Zhang

ICML 2024 An Empirical Study of Realized GNN Expressiveness Yanbo Wang, Muhan Zhang

ICML 2024 Case-Based or Rule-Based: How Do Transformers Do the Math? Yi Hu, Xiaojuan Tang, Haotong Yang, Muhan Zhang

ICML 2024 Graph as Point Set Xiyuan Wang, Pan Li, Muhan Zhang

NeurIPS 2024 Mars: Situated Inductive Reasoning in an Open-World Environment Xiaojuan Tang, Jiaqi Li, Yitao Liang, Song-chun Zhu, Muhan Zhang, Zilong Zheng

ICLR 2024 Neural Common Neighbor with Completion for Link Prediction Xiyuan Wang, Haotong Yang, Muhan Zhang

ICLR 2024 On the Stability of Expressive Positional Encodings for Graphs Yinan Huang, William Lu, Joshua Robinson, Yu Yang, Muhan Zhang, Stefanie Jegelka, Pan Li

ICLR 2024 One for All: Towards Training One Graph Model for All Classification Tasks Hao Liu, Jiarui Feng, Lecheng Kong, Ningyue Liang, Dacheng Tao, Yixin Chen, Muhan Zhang

NeurIPS 2024 PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models Fanxu Meng, Zhaohui Wang, Muhan Zhang

ICLR 2024 Rethinking the Power of Graph Canonization in Graph Representation Learning with Stability Zehao Dong, Muhan Zhang, Philip Payne, Michael A Province, Carlos Cruchaga, Tianyu Zhao, Fuhai Li, Yixin Chen

NeurIPS 2024 Unifying Generation and Prediction on Graphs with Latent Graph Diffusion Cai Zhou, Xiyuan Wang, Muhan Zhang

ICLR 2024 VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs Ling Yang, Ye Tian, Minkai Xu, Zhongyi Liu, Shenda Hong, Wei Qu, Wentao Zhang, Bin Cui, Muhan Zhang, Jure Leskovec

ICLR 2023 Boosting the Cycle Counting Power of Graph Neural Networks with I$^2$-GNNs Yinan Huang, Xingang Peng, Jianzhu Ma, Muhan Zhang

ICLR 2023 CktGNN: Circuit Graph Neural Network for Electronic Design Automation Zehao Dong, Weidong Cao, Muhan Zhang, Dacheng Tao, Yixin Chen, Xuan Zhang

NeurIPS 2023 Distance-Restricted Folklore Weisfeiler-Leman GNNs with Provable Cycle Counting Power Junru Zhou, Jiarui Feng, Xiyuan Wang, Muhan Zhang

NeurIPS 2023 Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman Jiarui Feng, Lecheng Kong, Hao Liu, Dacheng Tao, Fuhai Li, Muhan Zhang, Yixin Chen

NeurIPS 2023 Facilitating Graph Neural Networks with Random Walk on Simplicial Complexes Cai Zhou, Xiyuan Wang, Muhan Zhang

ICML 2023 From Relational Pooling to Subgraph GNNs: A Universal Framework for More Expressive Graph Neural Networks Cai Zhou, Xiyuan Wang, Muhan Zhang

NeurIPS 2023 Is Distance Matrix Enough for Geometric Deep Learning? Zian Li, Xiyuan Wang, Yinan Huang, Muhan Zhang

NeurIPS 2023 MAG-GNN: Reinforcement Learning Boosted Graph Neural Network Lecheng Kong, Jiarui Feng, Hao Liu, Dacheng Tao, Yixin Chen, Muhan Zhang

ICML 2022 3DLinker: An E(3) Equivariant Variational Autoencoder for Molecular Linker Design Yinan Huang, Xingang Peng, Jianzhu Ma, Muhan Zhang

ICLR 2022 Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks Haorui Wang, Haoteng Yin, Muhan Zhang, Pan Li

ICLR 2022 GLASS: GNN with Labeling Tricks for Subgraph Representation Learning Xiyuan Wang, Muhan Zhang

NeurIPS 2022 Geodesic Graph Neural Network for Efficient Graph Representation Learning Lecheng Kong, Yixin Chen, Muhan Zhang

LoG 2022 Graph Neural Network with Local Frame for Molecular Potential Energy Surface Xiyuan Wang, Muhan Zhang

NeurIPS 2022 How Powerful Are K-Hop Message Passing Graph Neural Networks Jiarui Feng, Yixin Chen, Fuhai Li, Anindya Sarkar, Muhan Zhang

ICML 2022 How Powerful Are Spectral Graph Neural Networks Xiyuan Wang, Muhan Zhang

ICML 2022 PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs Zehao Dong, Muhan Zhang, Fuhai Li, Yixin Chen

NeurIPS 2022 Rethinking Knowledge Graph Evaluation Under the Open-World Assumption Haotong Yang, Zhouchen Lin, Muhan Zhang

LoG 2022 Towards Efficient and Expressive GNNs for Graph Classification via Subgraph-Aware Weisfeiler-Lehman Zhaohui Wang, Qi Cao, Huawei Shen, Xu Bingbing, Muhan Zhang, Xueqi Cheng

NeurIPS 2021 Decoupling the Depth and Scope of Graph Neural Networks Hanqing Zeng, Muhan Zhang, Yinglong Xia, Ajitesh Srivastava, Andrey Malevich, Rajgopal Kannan, Viktor Prasanna, Long Jin, Ren Chen

NeurIPS 2021 Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning Muhan Zhang, Pan Li, Yinglong Xia, Kai Wang, Long Jin

NeurIPS 2021 Nested Graph Neural Networks Muhan Zhang, Pan Li

ICLR 2020 Inductive Matrix Completion Based on Graph Neural Networks Muhan Zhang, Yixin Chen

NeurIPS 2019 D-VAE: A Variational Autoencoder for Directed Acyclic Graphs Muhan Zhang, Shali Jiang, Zhicheng Cui, Roman Garnett, Yixin Chen

AAAI 2018 An End-to-End Deep Learning Architecture for Graph Classification Muhan Zhang, Zhicheng Cui, Marion Neumann, Yixin Chen

AAAI 2018 Beyond Link Prediction: Predicting Hyperlinks in Adjacency Space Muhan Zhang, Zhicheng Cui, Shali Jiang, Yixin Chen

NeurIPS 2018 Link Prediction Based on Graph Neural Networks Muhan Zhang, Yixin Chen