| 2026 | ACL | JurisBench: A Deep Benchmark for Assessing Large Language Models in Professional Legal Practice. | Ziang Chen, Guannan Li, Fanlin Ji, Yipeng Kang, Jiaqi Li, Muhan Zhang, Yangtao Zhang, Li Tianjiao, Jiannan Wang, Xin Guo, Song-Chun Zhu, Bin Ling |
| 2026 | ACL | SubTokenTest: A Practical Benchmark for Real-World Sub-token Understanding. | Shuyang Hou, Yi Hu, Muhan Zhang |
| 2026 | ACL | Towards a Mechanistic Understanding of Large Reasoning Models: A Survey of Training, Inference, and Failures. | Yi Hu, Jiaqi Gu, Ruxin Wang, Zijun Yao, Hao Peng, Xiaobao Wu, Jianhui Chen, Muhan Zhang, Liangming Pan |
| 2026 | ACL | Knowledge is Not Enough: Injecting RL Skills for Continual Adaptation. | Pingzhi Tang, Yiding Wang, Muhan Zhang |
| 2026 | ACL | Law in Silico: Simulating Legal Society with LLM-Based Agents. | Yiding Wang, Yuxuan Chen, Fanxu Meng, Xifan Chen, Xiaolei Yang, Muhan Zhang |
| 2026 | ASPLOS | TPLA: Tensor Parallel Latent Attention for Efficient Disaggregated Prefill & Decode Inference. | Xiaojuan Tang, Fanxu Meng, Pingzhi Tang, Yuxuan Wang, Di Yin, Xing Sun, Muhan Zhang |
| 2025 | CIKM | Reconsidering the Performance of GAE in Link Prediction. | Weishuo Ma, Yanbo Wang, Xiyuan Wang, Muhan Zhang |
| 2025 | DAC | 3D-SubG: A 3D Stacked Hybrid Processing Near/In-Memory Accelerator for Subgraph GNNs. | Guoxiang Li, Runnan Xu, Ruohang Xu, Yikan Qiu, Renati Tuerhong, Muhan Zhang, Le Ye, Yufei Ma |
| 2025 | EMNLP | HD-PiSSA: High-Rank Distributed Orthogonal Adaptation. | Yiding Wang, Fanxu Meng, Xuefeng Zhang, Fan Jiang, Pingzhi Tang, Muhan Zhang |
| 2025 | ICLR | 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 |
| 2025 | ICLR | On the Completeness of Invariant Geometric Deep Learning Models. | Zian Li, Xiyuan Wang, Shijia Kang, Muhan Zhang |
| 2025 | ICLR | Number Cookbook: Number Understanding of Language Models and How to Improve It. | Haotong Yang, Yi Hu, Shijia Kang, Zhouchen Lin, Muhan Zhang |
| 2025 | ICML | Geometric Representation Condition Improves Equivariant Molecule Generation. | Zian Li, Cai Zhou, Xiyuan Wang, Xingang Peng, Muhan Zhang |
| 2025 | ICML | CLOVER: Cross-Layer Orthogonal Vectors Pruning. | Fanxu Meng, Pingzhi Tang, Fan Jiang, Muhan Zhang |
| 2025 | ICML | Griffin: Towards a Graph-Centric Relational Database Foundation Model. | Yanbo Wang, Xiyuan Wang, Quan Gan, Minjie Wang, Qibin Yang, David Wipf, Muhan Zhang |
| 2024 | ACL | LooGLE: Can Long-Context Language Models Understand Long Contexts? | Jiaqi Li, Mengmeng Wang, Zilong Zheng, Muhan Zhang |
| 2024 | ACL | RulE: Knowledge Graph Reasoning with Rule Embedding. | Xiaojuan Tang, Song-Chun Zhu, Yitao Liang, Muhan Zhang |
| 2024 | CogSci | Optimal mental representation of social networks explains biases in social learning and perception. | Yulin Dong, Xiyuan Wang, Yaomin Jiang, Muhan Zhang, Lusha Zhu |
| 2024 | ICLR | 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 |
| 2024 | ICLR | 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 |
| 2024 | ICLR | Rethinking the Power of Graph Canonization in Graph Representation Learning with Stability. | Zehao Dong, Muhan Zhang, Philip R. O. Payne, Michael A. Province, Carlos Cruchaga, Tianyu Zhao, Fuhai Li, Yixin Chen |
| 2024 | ICLR | On the Stability of Expressive Positional Encodings for Graphs. | Yinan Huang, William Lu, Joshua Robinson, Yu Yang, Muhan Zhang, Stefanie Jegelka, Pan Li |
| 2024 | ICLR | Neural Common Neighbor with Completion for Link Prediction. | Xiyuan Wang, Haotong Yang, Muhan Zhang |
| 2024 | ICML | Case-Based or Rule-Based: How Do Transformers Do the Math? | Yi Hu, Xiaojuan Tang, Haotong Yang, Muhan Zhang |
| 2024 | ICML | Graph As Point Set. | Xiyuan Wang, Pan Li, Muhan Zhang |
| 2024 | ICML | An Empirical Study of Realized GNN Expressiveness. | Yanbo Wang, Muhan Zhang |
| 2024 | KDD | An Efficient Subgraph GNN with Provable Substructure Counting Power. | Zuoyu Yan, Junru Zhou, Liangcai Gao, Zhi Tang, Muhan Zhang |
| 2024 | WWW | Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method for Few-shot Node Tasks. | Hao Liu, Jiarui Feng, Lecheng Kong, Dacheng Tao, Yixin Chen, Muhan Zhang |
| 2024 | VLDB | 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 |
| 2023 | ASPDAC | MacroRank: Ranking Macro Placement Solutions Leveraging Translation Equivariancy. | Yifan Chen, Jing Mai, Xiaohan Gao, Muhan Zhang, Yibo Lin |
| 2023 | ICLR | CktGNN: Circuit Graph Neural Network for Electronic Design Automation. | Zehao Dong, Weidong Cao, Muhan Zhang, Dacheng Tao, Yixin Chen, Xuan Zhang |
| 2023 | ICLR | Boosting the Cycle Counting Power of Graph Neural Networks with I$^2$-GNNs. | Yinan Huang, Xingang Peng, Jianzhu Ma, Muhan Zhang |
| 2023 | ICML | From Relational Pooling to Subgraph GNNs: A Universal Framework for More Expressive Graph Neural Networks. | Cai Zhou, Xiyuan Wang, Muhan Zhang |
| 2022 | ICLR | Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks. | Haorui Wang, Haoteng Yin, Muhan Zhang, Pan Li |
| 2022 | ICLR | GLASS: GNN with Labeling Tricks for Subgraph Representation Learning. | Xiyuan Wang, Muhan Zhang |
| 2022 | ICML | PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs. | Zehao Dong, Muhan Zhang, Fuhai Li, Yixin Chen |
| 2022 | ICML | 3DLinker: An E(3) Equivariant Variational Autoencoder for Molecular Linker Design. | Yinan Huang, Xingang Peng, Jianzhu Ma, Muhan Zhang |
| 2022 | ICML | How Powerful are Spectral Graph Neural Networks. | Xiyuan Wang, Muhan Zhang |
| 2020 | ICLR | Inductive Matrix Completion Based on Graph Neural Networks. | Muhan Zhang, Yixin Chen |
| 2020 | KDD | Hierarchical Attention Propagation for Healthcare Representation Learning. | Muhan Zhang, Christopher Ryan King, Michael Avidan, Yixin Chen |
| 2020 | MICCAI | Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis. | Xiaoxiao Li, Yuan Zhou, Nicha C. Dvornek, Muhan Zhang, Juntang Zhuang, Pamela Ventola, James S. Duncan |
| 2018 | AAAI | Beyond Link Prediction: Predicting Hyperlinks in Adjacency Space. | Muhan Zhang, Zhicheng Cui, Shali Jiang, Yixin Chen |
| 2018 | AAAI | An End-to-End Deep Learning Architecture for Graph Classification. | Muhan Zhang, Zhicheng Cui, Marion Neumann, Yixin Chen |
| 2017 | KDD | Weisfeiler-Lehman Neural Machine for Link Prediction. | Muhan Zhang, Yixin Chen |
| 2015 | HCI | Towards a Google Glass Based Head Control Communication System for People with Disabilities. | James Gips, Muhan Zhang, Deirdre Anderson |