Muhan Zhang - RankMe

187 papers A* 48A 1B 1Journal 127Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Breaking the Blocks: Continuous Low-Rank Decomposed Scaling for Unified LLM Quantization and Adaptation. CoRR Pingzhi Tang, Ruijie Zhou, Fanxu Meng, Wenjie Pei, Muhan Zhang
2026	J	`jnl`	Exact acceleration of subgraph graph neural networks by eliminating computation redundancy. Frontiers Comput. Sci. Qian Tao, Xiyuan Wang, Muhan Zhang, Shuxian Hu, Wenyuan Yu, Jingren Zhou
2026	J	`jnl`	GREPO: A Benchmark for Graph Neural Networks on Repository-Level Bug Localization. CoRR Juntong Wang, Libin Chen, Xiyuan Wang, Shijia Kang, Haotong Yang, Da Zheng, Muhan Zhang
2026	J	`jnl`	HISA: Efficient Hierarchical Indexing for Fine-Grained Sparse Attention. CoRR Yufei Xu, Fanxu Meng, Fan Jiang, Yuxuan Wang, Ruijie Zhou, Zhaohui Wang, Jiexi Wu, Zhixin Pan, Xiaojuan Tang, Wenjie Pei, Tongxuan Liu, Di Yin, Xing Sun, Muhan Zhang
2026	J	`jnl`	Knowledge is Not Enough: Injecting RL Skills for Continual Adaptation. CoRR Pingzhi Tang, Yiding Wang, Muhan Zhang
2026	J	`jnl`	LiteToken: Removing Intermediate Merge Residues From BPE Tokenizers. CoRR Yike Sun, Haotong Yang, Zhouchen Lin, Muhan Zhang
2026	J	`jnl`	Proof-RM: A Scalable and Generalizable Reward Model for Math Proof. CoRR Haotong Yang, Zitong Wang, Shijia Kang, Siqi Yang, Wenkai Yu, Xu Niu, Yike Sun, Yi Hu, Zhouchen Lin, Muhan Zhang
2026	J	`jnl`	Relational In-Context Learning via Synthetic Pre-training with Structural Prior. CoRR Yanbo Wang, Jiaxuan You, Chuan Shi, Muhan Zhang
2026	J	`jnl`	Rethinking Diffusion Models with Symmetries through Canonicalization with Applications to Molecular Graph Generation. CoRR Cai Zhou, Zijie Chen, Zian Li, Jike Wang, Kaiyi Jiang, Pan Li, Rose Yu, Muhan Zhang, Stephen Bates, Tommi S. Jaakkola
2026	J	`jnl`	SHINE: A Scalable In-Context Hypernetwork for Mapping Context to LoRA in a Single Pass. CoRR Yewei Liu, Xiyuan Wang, Yansheng Mao, Yoav Gelbery, Haggai Maron, Muhan Zhang
2026	J	`jnl`	SubTokenTest: A Practical Benchmark for Real-World Sub-token Understanding. CoRR Shuyang Hou, Yi Hu, Muhan Zhang
2026	—	`conf`	TPLA: Tensor Parallel Latent Attention for Efficient Disaggregated Prefill & Decode Inference. ASPLOS (2) Xiaojuan Tang, Fanxu Meng, Pingzhi Tang, Yuxuan Wang, Di Yin, Xing Sun, Muhan Zhang
2026	J	`jnl`	TabDLM: Free-Form Tabular Data Generation via Joint Numerical-Language Diffusion. CoRR Donghong Cai, Jiarui Feng, Yanbo Wang, Da Zheng, Yixin Chen, Muhan Zhang
2026	J	`jnl`	Towards a Mechanistic Understanding of Large Reasoning Models: A Survey of Training, Inference, and Failures. CoRR Yi Hu, Jiaqi Gu, Ruxin Wang, Zijun Yao, Hao Peng, Xiaobao Wu, Jianhui Chen, Muhan Zhang, Liangming Pan
2026	J	`jnl`	VecMol: Vector-Field Representations for 3D Molecule Generation. CoRR Yuchen Hua, Xingang Peng, Jianzhu Ma, Muhan Zhang
2025	A*	`conf`	3D-SubG: A 3D Stacked Hybrid Processing Near/In-Memory Accelerator for Subgraph GNNs. DAC Guoxiang Li, Runnan Xu, Ruohang Xu, Yikan Qiu, Renati Tuerhong, Muhan Zhang, Le Ye, Yufei Ma
2025	J	`jnl`	Adaptive graph diffusion networks: compact and expressive GNNs with large receptive fields. Artif. Intell. Rev. Chuxiong Sun, Muhan Zhang, Jie Hu, Hongming Gu, Jinpeng Chen, Mingchuan Yang
2025	A*	`conf`	CLOVER: Cross-Layer Orthogonal Vectors Pruning. ICML Fanxu Meng, Pingzhi Tang, Fan Jiang, Muhan Zhang
2025	J	`jnl`	CanvasMAR: Improving Masked Autoregressive Video Generation With Canvas. CoRR Zian Li, Muhan Zhang
2025	J	`jnl`	Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner. CoRR Cai Zhou, Chenxiao Yang, Yi Hu, Chenyu Wang, Chubin Zhang, Muhan Zhang, Lester Mackey, Tommi S. Jaakkola, Stephen Bates, Dinghuai Zhang
2025	J	`jnl`	Diffusion As Self-Distillation: End-to-End Latent Diffusion In One Model. CoRR Xiyuan Wang, Muhan Zhang
2025	J	`jnl`	Do Graph Diffusion Models Accurately Capture and Generate Substructure Distributions? CoRR Xiyuan Wang, Yewei Liu, Lexi Pang, Siwei Chen, Muhan Zhang
2025	J	`jnl`	GILT: An LLM-Free, Tuning-Free Graph Foundational Model for In-Context Learning. CoRR Weishuo Ma, Yanbo Wang, Xiyuan Wang, Lei Zou, Muhan Zhang
2025	J	`jnl`	GNNs as Predictors of Agentic Workflow Performances. CoRR Yuanshuo Zhang, Yuchen Hou, Bohan Tang, Shuo Chen, Muhan Zhang, Xiaowen Dong, Siheng Chen
2025	A*	`conf`	GOFA: A Generative One-For-All Model for Joint Graph Language Modeling. ICLR Lecheng Kong, Jiarui Feng, Hao Liu, Chengsong Huang, Jiaxin Huang, Yixin Chen, Muhan Zhang
2025	J	`jnl`	GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models. CoRR Jiarui Feng, Donghong Cai, Yixin Chen, Muhan Zhang
2025	J	`jnl`	GeoRecon: Graph-Level Representation Learning for 3D Molecules via Reconstruction-Based Pretraining. CoRR Shaoheng Yan, Zian Li, Muhan Zhang
2025	A*	`conf`	Geometric Representation Condition Improves Equivariant Molecule Generation. ICML Zian Li, Cai Zhou, Xiyuan Wang, Xingang Peng, Muhan Zhang
2025	A*	`conf`	Griffin: Towards a Graph-Centric Relational Database Foundation Model. ICML Yanbo Wang, Xiyuan Wang, Quan Gan, Minjie Wang, Qibin Yang, David Wipf, Muhan Zhang
2025	J	`jnl`	Griffin: Towards a Graph-Centric Relational Database Foundation Model. CoRR Yanbo Wang, Xiyuan Wang, Quan Gan, Minjie Wang, Qibin Yang, David Wipf, Muhan Zhang
2025	A*	`conf`	HD-PiSSA: High-Rank Distributed Orthogonal Adaptation. EMNLP Yiding Wang, Fanxu Meng, Xuefeng Zhang, Fan Jiang, Pingzhi Tang, Muhan Zhang
2025	J	`jnl`	HD-PiSSA: High-Rank Distributed Orthogonal Adaptation. CoRR Yiding Wang, Fauxu Meng, Xuefeng Zhang, Fan Jiang, Pingzhi Tang, Muhan Zhang
2025	J	`jnl`	Improving Graph Neural Networks on Multi-node Tasks with the Labeling Trick. J. Mach. Learn. Res. Xiyuan Wang, Pan Li, Muhan Zhang
2025	J	`jnl`	LIFT: Improving Long Context Understanding of Large Language Models through Long Input Fine-Tuning. CoRR Yansheng Mao, Yufei Xu, Jiaqi Li, Fanxu Meng, Haotong Yang, Zilong Zheng, Xiyuan Wang, Muhan Zhang
2025	J	`jnl`	Law in Silico: Simulating Legal Society with LLM-Based Agents. CoRR Yiding Wang, Yuxuan Chen, Fanxu Meng, Xifan Chen, Xiaolei Yang, Muhan Zhang
2025	J	`jnl`	LoRASuite: Efficient LoRA Adaptation Across Large Language Model Upgrades. CoRR Yanan Li, Fanxu Meng, Muhan Zhang, Shiai Zhu, Shangguang Wang, Mengwei Xu
2025	J	`jnl`	LooGLE v2: Are LLMs Ready for Real World Long Dependency Challenges? CoRR Ziyuan He, Yuxuan Wang, Jiaqi Li, Kexin Liang, Muhan Zhang
2025	J	`jnl`	Masked Language Models are Good Heterogeneous Graph Generalizers. CoRR Jinyu Yang, Cheng Yang, Shanyuan Cui, Zeyuan Guo, Liangwei Yang, Muhan Zhang, Chuan Shi
2025	J	`jnl`	Meta Pruning via Graph Metanetworks : A Meta Learning Framework for Network Pruning. CoRR Yewei Liu, Xiyuan Wang, Muhan Zhang
2025	J	`jnl`	Multi-Agent Evolve: LLM Self-Improve through Co-evolution. CoRR Yixing Chen, Yiding Wang, Siqi Zhu, Haofei Yu, Tao Feng, Muhan Zhang, Mostofa Patwary, Jiaxuan You
2025	A*	`conf`	Number Cookbook: Number Understanding of Language Models and How to Improve It. ICLR Haotong Yang, Yi Hu, Shijia Kang, Zhouchen Lin, Muhan Zhang
2025	J	`jnl`	OCN: Effectively Utilizing Higher-Order Common Neighbors for Better Link Prediction. CoRR Juntong Wang, Xiyuan Wang, Muhan Zhang
2025	A*	`conf`	On the Completeness of Invariant Geometric Deep Learning Models. ICLR Zian Li, Xiyuan Wang, Shijia Kang, Muhan Zhang
2025	J	`jnl`	PHYBench: Holistic Evaluation of Physical Perception and Reasoning in Large Language Models. CoRR Shi Qiu, Shaoyang Guo, Zhuo-Yang Song, Yunbo Sun, Zeyu Cai, Jiashen Wei, Tianyu Luo, Yixuan Yin, Haoxu Zhang, 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, 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, Ziyang Ni, Bohan Zhang, Fan Cui, Changkun Shao, Qing-Hong Cao, Ming-xing Luo, Muhan Zhang, Hua Xing Zhu
2025	A	`conf`	Reconsidering the Performance of GAE in Link Prediction. CIKM Weishuo Ma, Yanbo Wang, Xiyuan Wang, Muhan Zhang
2025	J	`jnl`	RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? CoRR Haotian Xu, Xing Wu, Weinong Wang, Zhongzhi Li, Da Zheng, Boyuan Chen, Yi Hu, Shijia Kang, Jiaming Ji, Yingying Zhang, Zhijiang Guo, Yaodong Yang, Muhan Zhang, Debing Zhang
2025	J	`jnl`	Round-trip Reinforcement Learning: Self-Consistent Training for Better Chemical LLMs. CoRR Lecheng Kong, Xiyuan Wang, Yixin Chen, Muhan Zhang
2025	J	`jnl`	TPLA: Tensor Parallel Latent Attention for Efficient Disaggregated Prefill and Decode Inference. CoRR Xiaojuan Tang, Fanxu Meng, Pingzhi Tang, Yuxuan Wang, Di Yin, Xing Sun, Muhan Zhang
2025	J	`jnl`	The Road Less Traveled: Enhancing Exploration in LLMs via Sequential Sampling. CoRR Shijia Kang, Muhan Zhang
2025	J	`jnl`	ThemeViz: Understanding the Effect of Human-AI Collaboration in Theme Development with an LLM-enhanced Interactive Visual System. Proc. ACM Hum. Comput. Interact. Daye Kang, Zhuolun Han, Jiahe Tian, Muhan Zhang, Jeffrey M. Rzeszotarski
2025	J	`jnl`	Training Large Language Models to be Better Rule Followers. CoRR Yi Hu, Shijia Kang, Haotong Yang, Haotian Xu, Muhan Zhang
2025	J	`jnl`	TransMLA: Multi-Head Latent Attention Is All You Need. CoRR Fanxu Meng, Zengwei Yao, Muhan Zhang
2025	J	`jnl`	Using Random Noise Equivariantly to Boost Graph Neural Networks Universally. CoRR Xiyuan Wang, Muhan Zhang
2025	J	`jnl`	VACT: A Video Automatic Causal Testing System and a Benchmark. CoRR Haotong Yang, Qingyuan Zheng, Yunjian Gao, Yongkun Yang, Yangbo He, Zhouchen Lin, Muhan Zhang
2025	J	`jnl`	What Affects the Effective Depth of Large Language Models? CoRR Yi Hu, Cai Zhou, Muhan Zhang
2024	A*	`conf`	4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs. NeurIPS Minjie Wang, Quan Gan, David Wipf, Zheng Zhang, Christos Faloutsos, Weinan Zhang, Muhan Zhang, Zhenkun Cai, Jiahang Li, Zunyao Mao, Yakun Song, Jianheng Tang, Yanlin Zhang, Guang Yang, Chuan Lei, Xiao Qin, Ning Li, Han Zhang, Yanbo Wang, Zizhao Zhang
2024	—	`conf`	4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs. VLDB Workshops 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
2024	J	`jnl`	4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs. CoRR 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
2024	J	`jnl`	Ambiguities in neural-network-based hyperedge prediction. J. Appl. Comput. Topol. Changlin Wan, Muhan Zhang, Pengtao Dang, Wei Hao, Sha Cao, Pan Li, Chi Zhang
2024	A*	`conf`	An Efficient Subgraph GNN with Provable Substructure Counting Power. KDD Zuoyu Yan, Junru Zhou, Liangcai Gao, Zhi Tang, Muhan Zhang
2024	A*	`conf`	An Empirical Study of Realized GNN Expressiveness. ICML Yanbo Wang, Muhan Zhang
2024	J	`jnl`	CLOVER: Constrained Learning with Orthonormal Vectors for Eliminating Redundancy. CoRR Fanxu Meng, Muhan Zhang
2024	A*	`conf`	Case-Based or Rule-Based: How Do Transformers Do the Math? ICML Yi Hu, Xiaojuan Tang, Haotong Yang, Muhan Zhang
2024	J	`jnl`	Case-Based or Rule-Based: How Do Transformers Do the Math? CoRR Yi Hu, Xiaojuan Tang, Haotong Yang, Muhan Zhang
2024	J	`jnl`	Efficient Neural Common Neighbor for Temporal Graph Link Prediction. CoRR Xiaohui Zhang, Yanbo Wang, Xiyuan Wang, Muhan Zhang
2024	J	`jnl`	Exact Acceleration of Subgraph Graph Neural Networks by Eliminating Computation Redundancy. CoRR Qian Tao, Xiyuan Wang, Muhan Zhang, Shuxian Hu, Wenyuan Yu, Jingren Zhou
2024	J	`jnl`	Fine-Grained Expressive Power of Weisfeiler-Leman: A Homomorphism Counting Perspective. CoRR Junru Zhou, Muhan Zhang
2024	J	`jnl`	Foundations and Frontiers of Graph Learning Theory. CoRR Yu Huang, Min Zhou, Menglin Yang, Zhen Wang, Muhan Zhang, Jie Wang, Hong Xie, Hao Wang, Defu Lian, Enhong Chen
2024	J	`jnl`	GL-Fusion: Rethinking the Combination of Graph Neural Network and Large Language model. CoRR Haotong Yang, Xiyuan Wang, Qian Tao, Shuxian Hu, Zhouchen Lin, Muhan Zhang
2024	J	`jnl`	GOFA: A Generative One-For-All Model for Joint Graph Language Modeling. CoRR Lecheng Kong, Jiarui Feng, Hao Liu, Chengsong Huang, Jiaxin Huang, Yixin Chen, Muhan Zhang
2024	J	`jnl`	Geometric Representation Condition Improves Equivariant Molecule Generation. CoRR Zian Li, Cai Zhou, Xiyuan Wang, Xingang Peng, Muhan Zhang
2024	A*	`conf`	Graph As Point Set. ICML Xiyuan Wang, Pan Li, Muhan Zhang
2024	A*	`conf`	Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method for Few-shot Node Tasks. WWW Hao Liu, Jiarui Feng, Lecheng Kong, Dacheng Tao, Yixin Chen, Muhan Zhang
2024	J	`jnl`	Graph as Point Set. CoRR Xiyuan Wang, Pan Li, Muhan Zhang
2024	J	`jnl`	Highly Accurate Disease Diagnosis and Highly Reproducible Biomarker Identification with PathFormer. CoRR Zehao Dong, Qihang Zhao, Philip R. O. Payne, Michael A. Province, Carlos Cruchaga, Muhan Zhang, Tianyu Zhao, Yixin Chen, Fuhai Li
2024	J	`jnl`	LIFT: Improving Long Context Understanding Through Long Input Fine-Tuning. CoRR Yansheng Mao, Jiaqi Li, Fanxu Meng, Jing Xiong, Zilong Zheng, Muhan Zhang
2024	J	`jnl`	Latent Graph Diffusion: A Unified Framework for Generation and Prediction on Graphs. CoRR Cai Zhou, Xiyuan Wang, Muhan Zhang
2024	—	`conf`	LooGLE: Can Long-Context Language Models Understand Long Contexts? ACL (1) Jiaqi Li, Mengmeng Wang, Zilong Zheng, Muhan Zhang
2024	A*	`conf`	Mars: Situated Inductive Reasoning in an Open-World Environment. NeurIPS Xiaojuan Tang, Jiaqi Li, Yitao Liang, Song-Chun Zhu, Muhan Zhang, Zilong Zheng
2024	J	`jnl`	Mars: Situated Inductive Reasoning in an Open-World Environment. CoRR Xiaojuan Tang, Jiaqi Li, Yitao Liang, Song-Chun Zhu, Muhan Zhang, Zilong Zheng
2024	A*	`conf`	Neural Common Neighbor with Completion for Link Prediction. ICLR Xiyuan Wang, Haotong Yang, Muhan Zhang
2024	J	`jnl`	Number Cookbook: Number Understanding of Language Models and How to Improve It. CoRR Haotong Yang, Yi Hu, Shijia Kang, Zhouchen Lin, Muhan Zhang
2024	J	`jnl`	On Lexical Invariance on Multisets and Graphs. CoRR Muhan Zhang
2024	J	`jnl`	On the Completeness of Invariant Geometric Deep Learning Models. CoRR Zian Li, Xiyuan Wang, Shijia Kang, Muhan Zhang
2024	A*	`conf`	On the Stability of Expressive Positional Encodings for Graphs. ICLR Yinan Huang, William Lu, Joshua Robinson, Yu Yang, Muhan Zhang, Stefanie Jegelka, Pan Li
2024	A*	`conf`	One For All: Towards Training One Graph Model For All Classification Tasks. ICLR Hao Liu, Jiarui Feng, Lecheng Kong, Ningyue Liang, Dacheng Tao, Yixin Chen, Muhan Zhang
2024	B	`conf`	Optimal mental representation of social networks explains biases in social learning and perception. CogSci Yulin Dong, Xiyuan Wang, Yaomin Jiang, Muhan Zhang, Lusha Zhu
2024	A*	`conf`	PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models. NeurIPS Fanxu Meng, Zhaohui Wang, Muhan Zhang
2024	J	`jnl`	PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models. CoRR Fanxu Meng, Zhaohui Wang, Muhan Zhang
2024	J	`jnl`	Reconsidering the Performance of GAE in Link Prediction. CoRR Weishuo Ma, Yanbo Wang, Xiyuan Wang, Muhan Zhang
2024	J	`jnl`	Refining Euclidean Obfuscatory Nodes Helps: A Joint-Space Graph Learning Method for Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Zhaogeng Liu, Feng Ji, Jielong Yang, Xiaofeng Cao, Muhan Zhang, Hechang Chen, Yi Chang
2024	A*	`conf`	Rethinking the Power of Graph Canonization in Graph Representation Learning with Stability. ICLR Zehao Dong, Muhan Zhang, Philip R. O. Payne, Michael A. Province, Carlos Cruchaga, Tianyu Zhao, Fuhai Li, Yixin Chen
2024	—	`conf`	RulE: Knowledge Graph Reasoning with Rule Embedding. ACL (Findings) Xiaojuan Tang, Song-Chun Zhu, Yitao Liang, Muhan Zhang
2024	J	`jnl`	SPGNN: Recognizing Salient Subgraph Patterns via Enhanced Graph Convolution and Pooling. CoRR Zehao Dong, Muhan Zhang, Yixin Chen
2024	J	`jnl`	TAGLAS: An atlas of text-attributed graph datasets in the era of large graph and language models. CoRR Jiarui Feng, Hao Liu, Lecheng Kong, Yixin Chen, Muhan Zhang
2024	J	`jnl`	Towards Stable, Globally Expressive Graph Representations with Laplacian Eigenvectors. CoRR Junru Zhou, Cai Zhou, Xiyuan Wang, Pan Li, Muhan Zhang
2024	A*	`conf`	Unifying Generation and Prediction on Graphs with Latent Graph Diffusion. NeurIPS Cai Zhou, Xiyuan Wang, Muhan Zhang
2024	A*	`conf`	VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs. ICLR Ling Yang, Ye Tian, Minkai Xu, Zhongyi Liu, Shenda Hong, Wei Qu, Wentao Zhang, Bin Cui, Muhan Zhang, Jure Leskovec
2023	A*	`conf`	Boosting the Cycle Counting Power of Graph Neural Networks with I$^2$-GNNs. ICLR Yinan Huang, Xingang Peng, Jianzhu Ma, Muhan Zhang
2023	J	`jnl`	Chain of Images for Intuitively Reasoning. CoRR Fanxu Meng, Haotong Yang, Yiding Wang, Muhan Zhang
2023	A*	`conf`	CktGNN: Circuit Graph Neural Network for Electronic Design Automation. ICLR Zehao Dong, Weidong Cao, Muhan Zhang, Dacheng Tao, Yixin Chen, Xuan Zhang
2023	J	`jnl`	CktGNN: Circuit Graph Neural Network for Electronic Design Automation. CoRR Zehao Dong, Weidong Cao, Muhan Zhang, Dacheng Tao, Yixin Chen, Xuan Zhang
2023	J	`jnl`	Code Prompting: a Neural Symbolic Method for Complex Reasoning in Large Language Models. CoRR Yi Hu, Haotong Yang, Zhouchen Lin, Muhan Zhang
2023	A*	`conf`	Distance-Restricted Folklore Weisfeiler-Leman GNNs with Provable Cycle Counting Power. NeurIPS Junru Zhou, Jiarui Feng, Xiyuan Wang, Muhan Zhang
2023	J	`jnl`	Distance-Restricted Folklore Weisfeiler-Leman GNNs with Provable Cycle Counting Power. CoRR Junru Zhou, Jiarui Feng, Xiyuan Wang, Muhan Zhang
2023	J	`jnl`	Efficiently Counting Substructures by Subgraph GNNs without Running GNN on Subgraphs. CoRR Zuoyu Yan, Junru Zhou, Liangcai Gao, Zhi Tang, Muhan Zhang
2023	J	`jnl`	Explaining the Complex Task Reasoning of Large Language Models with Template-Content Structure. CoRR Haotong Yang, Fanxu Meng, Zhouchen Lin, Muhan Zhang
2023	A*	`conf`	Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman. NeurIPS Jiarui Feng, Lecheng Kong, Hao Liu, Dacheng Tao, Fuhai Li, Muhan Zhang, Yixin Chen
2023	A*	`conf`	Facilitating Graph Neural Networks with Random Walk on Simplicial Complexes. NeurIPS Cai Zhou, Xiyuan Wang, Muhan Zhang
2023	J	`jnl`	Facilitating Graph Neural Networks with Random Walk on Simplicial Complexes. CoRR Cai Zhou, Xiyuan Wang, Muhan Zhang
2023	A*	`conf`	From Relational Pooling to Subgraph GNNs: A Universal Framework for More Expressive Graph Neural Networks. ICML Cai Zhou, Xiyuan Wang, Muhan Zhang
2023	J	`jnl`	From Relational Pooling to Subgraph GNNs: A Universal Framework for More Expressive Graph Neural Networks. CoRR Cai Zhou, Xiyuan Wang, Muhan Zhang
2023	J	`jnl`	Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method for Few-shot Node Tasks. CoRR Hao Liu, Jiarui Feng, Lecheng Kong, Dacheng Tao, Yixin Chen, Muhan Zhang
2023	J	`jnl`	Improving Graph Neural Networks on Multi-node Tasks with Labeling Tricks. CoRR Xiyuan Wang, Pan Li, Muhan Zhang
2023	A*	`conf`	Is Distance Matrix Enough for Geometric Deep Learning? NeurIPS Zian Li, Xiyuan Wang, Yinan Huang, Muhan Zhang
2023	J	`jnl`	Is Distance Matrix Enough for Geometric Deep Learning? CoRR Zian Li, Xiyuan Wang, Yinan Huang, Muhan Zhang
2023	J	`jnl`	Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners. CoRR Xiaojuan Tang, Zilong Zheng, Jiaqi Li, Fanxu Meng, Song-Chun Zhu, Yitao Liang, Muhan Zhang
2023	J	`jnl`	LooGLE: Can Long-Context Language Models Understand Long Contexts? CoRR Jiaqi Li, Mengmeng Wang, Zilong Zheng, Muhan Zhang
2023	A*	`conf`	MAG-GNN: Reinforcement Learning Boosted Graph Neural Network. NeurIPS Lecheng Kong, Jiarui Feng, Hao Liu, Dacheng Tao, Yixin Chen, Muhan Zhang
2023	J	`jnl`	MAG-GNN: Reinforcement Learning Boosted Graph Neural Network. CoRR Lecheng Kong, Jiarui Feng, Hao Liu, Dacheng Tao, Yixin Chen, Muhan Zhang
2023	—	`conf`	MacroRank: Ranking Macro Placement Solutions Leveraging Translation Equivariancy. ASP-DAC Yifan Chen, Jing Mai, Xiaohan Gao, Muhan Zhang, Yibo Lin
2023	J	`jnl`	Neural Attention: Enhancing QKV Calculation in Self-Attention Mechanism with Neural Networks. CoRR Muhan Zhang
2023	J	`jnl`	Neural Common Neighbor with Completion for Link Prediction. CoRR Xiyuan Wang, Haotong Yang, Muhan Zhang
2023	J	`jnl`	On the Stability of Expressive Positional Encodings for Graph Neural Networks. CoRR Yinan Huang, William Lu, Joshua Robinson, Yu Yang, Muhan Zhang, Stefanie Jegelka, Pan Li
2023	J	`jnl`	One for All: Towards Training One Graph Model for All Classification Tasks. CoRR Hao Liu, Jiarui Feng, Lecheng Kong, Ningyue Liang, Dacheng Tao, Yixin Chen, Muhan Zhang
2023	J	`jnl`	PyTorch Geometric High Order: A Unified Library for High Order Graph Neural Network. CoRR Xiyuan Wang, Muhan Zhang
2023	J	`jnl`	SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation Learning. CoRR Haoteng Yin, Muhan Zhang, Jianguo Wang, Pan Li
2023	J	`jnl`	SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation Learning. Proc. VLDB Endow. Haoteng Yin, Muhan Zhang, Jianguo Wang, Pan Li
2023	J	`jnl`	Time Associated Meta Learning for Clinical Prediction. CoRR Hao Liu, Muhan Zhang, Zehao Dong, Lecheng Kong, Yixin Chen, Bradley A. Fritz, Dacheng Tao, Christopher Ryan King
2023	J	`jnl`	Towards Arbitrarily Expressive GNNs in O(n CoRR Jiarui Feng, Lecheng Kong, Hao Liu, Dacheng Tao, Fuhai Li, Muhan Zhang, Yixin Chen
2023	J	`jnl`	Towards Better Evaluation of GNN Expressiveness with BREC Dataset. CoRR Yanbo Wang, Muhan Zhang
2023	J	`jnl`	Universal Normalization Enhanced Graph Representation Learning for Gene Network Prediction. CoRR Zehao Dong, Muhan Zhang, Qihang Zhao, Philip R. O. Payne, Michael A. Province, Carlos Cruchaga, Tianyu Zhao, Yixin Chen, Fuhai Li
2023	J	`jnl`	VQGraph: Graph Vector-Quantization for Bridging GNNs and MLPs. CoRR Ling Yang, Ye Tian, Minkai Xu, Zhongyi Liu, Shenda Hong, Wei Qu, Wentao Zhang, Bin Cui, Muhan Zhang, Jure Leskovec
2022	J	`jnl`	1st ICLR International Workshop on Privacy, Accountability, Interpretability, Robustness, Reasoning on Structured Data (PAIR^2Struct). CoRR Hao Wang, Wanyu Lin, Hao He, Di Wang, Chengzhi Mao, Muhan Zhang
2022	A*	`conf`	3DLinker: An E(3) Equivariant Variational Autoencoder for Molecular Linker Design. ICML Yinan Huang, Xingang Peng, Jianzhu Ma, Muhan Zhang
2022	J	`jnl`	3DLinker: An E(3) Equivariant Variational Autoencoder for Molecular Linker Design. CoRR Yinan Huang, Xingang Peng, Jianzhu Ma, Muhan Zhang
2022	J	`jnl`	Algorithm and System Co-design for Efficient Subgraph-based Graph Representation Learning. CoRR Haoteng Yin, Muhan Zhang, Yanbang Wang, Jianguo Wang, Pan Li
2022	J	`jnl`	Algorithm and System Co-design for Efficient Subgraph-based Graph Representation Learning. Proc. VLDB Endow. Haoteng Yin, Muhan Zhang, Yanbang Wang, Jianguo Wang, Pan Li
2022	J	`jnl`	Boosting the Cycle Counting Power of Graph Neural Networks with I CoRR Yinan Huang, Xingang Peng, Jianzhu Ma, Muhan Zhang
2022	J	`jnl`	Decoupling the Depth and Scope of Graph Neural Networks. CoRR Hanqing Zeng, Muhan Zhang, Yinglong Xia, Ajitesh Srivastava, Andrey Malevich, Rajgopal Kannan, Viktor K. Prasanna, Long Jin, Ren Chen
2022	A*	`conf`	Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks. ICLR Haorui Wang, Haoteng Yin, Muhan Zhang, Pan Li
2022	J	`jnl`	Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks. CoRR Haorui Wang, Haoteng Yin, Muhan Zhang, Pan Li
2022	A*	`conf`	GLASS: GNN with Labeling Tricks for Subgraph Representation Learning. ICLR Xiyuan Wang, Muhan Zhang
2022	A*	`conf`	Geodesic Graph Neural Network for Efficient Graph Representation Learning. NeurIPS Lecheng Kong, Yixin Chen, Muhan Zhang
2022	J	`jnl`	Geodesic Graph Neural Network for Efficient Graph Representation Learning. CoRR Lecheng Kong, Yixin Chen, Muhan Zhang
2022	—	`conf`	Graph Neural Network With Local Frame for Molecular Potential Energy Surface. LoG Xiyuan Wang, Muhan Zhang
2022	J	`jnl`	Graph Neural Network with Local Frame for Molecular Potential Energy Surface. CoRR Xiyuan Wang, Muhan Zhang
2022	A*	`conf`	How Powerful are K-hop Message Passing Graph Neural Networks. NeurIPS Jiarui Feng, Yixin Chen, Fuhai Li, Anindya Sarkar, Muhan Zhang
2022	J	`jnl`	How Powerful are K-hop Message Passing Graph Neural Networks. CoRR Jiarui Feng, Yixin Chen, Fuhai Li, Anindya Sarkar, Muhan Zhang
2022	A*	`conf`	How Powerful are Spectral Graph Neural Networks. ICML Xiyuan Wang, Muhan Zhang
2022	J	`jnl`	How Powerful are Spectral Graph Neural Networks. CoRR Xiyuan Wang, Muhan Zhang
2022	A*	`conf`	PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs. ICML Zehao Dong, Muhan Zhang, Fuhai Li, Yixin Chen
2022	J	`jnl`	PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs. CoRR Zehao Dong, Muhan Zhang, Fuhai Li, Yixin Chen
2022	A*	`conf`	Rethinking Knowledge Graph Evaluation Under the Open-World Assumption. NeurIPS Haotong Yang, Zhouchen Lin, Muhan Zhang
2022	J	`jnl`	Rethinking Knowledge Graph Evaluation Under the Open-World Assumption. CoRR Haotong Yang, Zhouchen Lin, Muhan Zhang
2022	J	`jnl`	RulE: Neural-Symbolic Knowledge Graph Reasoning with Rule Embedding. CoRR Xiaojuan Tang, Song-Chun Zhu, Yitao Liang, Muhan Zhang
2022	—	`conf`	Towards Efficient and Expressive GNNs for Graph Classification via Subgraph-Aware Weisfeiler-Lehman. LoG Zhaohui Wang, Qi Cao, Huawei Shen, Bingbing Xu, Muhan Zhang, Xueqi Cheng
2022	J	`jnl`	Two-Dimensional Weisfeiler-Lehman Graph Neural Networks for Link Prediction. CoRR Yang Hu, Xiyuan Wang, Zhouchen Lin, Pan Li, Muhan Zhang
2021	J	`jnl`	BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis. Medical Image Anal. Xiaoxiao Li, Yuan Zhou, Nicha C. Dvornek, Muhan Zhang, Siyuan Gao, Juntang Zhuang, Dustin Scheinost, Lawrence H. Staib, Pamela Ventola, James S. Duncan
2021	A*	`conf`	Decoupling the Depth and Scope of Graph Neural Networks. NeurIPS Hanqing Zeng, Muhan Zhang, Yinglong Xia, Ajitesh Srivastava, Andrey Malevich, Rajgopal Kannan, Viktor K. Prasanna, Long Jin, Ren Chen
2021	J	`jnl`	Efficient Dynamic Graph Representation Learning at Scale. CoRR Xinshi Chen, Yan Zhu, Haowen Xu, Mengyang Liu, Liang Xiong, Muhan Zhang, Le Song
2021	A*	`conf`	Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning. NeurIPS Muhan Zhang, Pan Li, Yinglong Xia, Kai Wang, Long Jin
2021	A*	`conf`	Nested Graph Neural Networks. NeurIPS Muhan Zhang, Pan Li
2021	J	`jnl`	Nested Graph Neural Networks. CoRR Muhan Zhang, Pan Li
2021	J	`jnl`	Network In Graph Neural Network. CoRR Xiang Song, Runjie Ma, Jiahang Li, Muhan Zhang, David Paul Wipf
2021	J	`jnl`	Principled Hyperedge Prediction with Structural Spectral Features and Neural Networks. CoRR Changlin Wan, Muhan Zhang, Wei Hao, Sha Cao, Pan Li, Chi Zhang
2020	A*	`conf`	Hierarchical Attention Propagation for Healthcare Representation Learning. KDD Muhan Zhang, Christopher Ryan King, Michael Avidan, Yixin Chen
2020	A*	`conf`	Inductive Matrix Completion Based on Graph Neural Networks. ICLR Muhan Zhang, Yixin Chen
2020	—	`conf`	Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis. MICCAI (7) Xiaoxiao Li, Yuan Zhou, Nicha C. Dvornek, Muhan Zhang, Juntang Zhuang, Pamela Ventola, James S. Duncan
2020	J	`jnl`	Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis. CoRR Xiaoxiao Li, Yuan Zhou, Nicha C. Dvornek, Muhan Zhang, Juntang Zhuang, Pamela Ventola, James S. Duncan
2020	J	`jnl`	Revisiting Graph Neural Networks for Link Prediction. CoRR Muhan Zhang, Pan Li, Yinglong Xia, Kai Wang, Long Jin
2019	A*	`conf`	D-VAE: A Variational Autoencoder for Directed Acyclic Graphs. NeurIPS Muhan Zhang, Shali Jiang, Zhicheng Cui, Roman Garnett, Yixin Chen
2019	J	`jnl`	D-VAE: A Variational Autoencoder for Directed Acyclic Graphs. CoRR Muhan Zhang, Shali Jiang, Zhicheng Cui, Roman Garnett, Yixin Chen
2019	J	`jnl`	Inductive Graph Pattern Learning for Recommender Systems Based on a Graph Neural Network. CoRR Muhan Zhang, Yixin Chen
2018	A*	`conf`	An End-to-End Deep Learning Architecture for Graph Classification. AAAI Muhan Zhang, Zhicheng Cui, Marion Neumann, Yixin Chen
2018	A*	`conf`	Beyond Link Prediction: Predicting Hyperlinks in Adjacency Space. AAAI Muhan Zhang, Zhicheng Cui, Shali Jiang, Yixin Chen
2018	—	`conf`	Deep Embedding Logistic Regression. ICBK Zhicheng Cui, Muhan Zhang, Yixin Chen
2018	A*	`conf`	Link Prediction Based on Graph Neural Networks. NeurIPS Muhan Zhang, Yixin Chen
2018	J	`jnl`	Link Prediction Based on Graph Neural Networks. CoRR Muhan Zhang, Yixin Chen
2017	J	`jnl`	Batch Mode Active Learning for Regression With Expected Model Change. IEEE Trans. Neural Networks Learn. Syst. Wenbin Cai, Muhan Zhang, Ya Zhang
2017	J	`jnl`	BoostGAPFILL: improving the fidelity of metabolic network reconstructions through integrated constraint and pattern-based methods. Bioinform. Tolutola Oyetunde, Muhan Zhang, Yixin Chen, Yinjie J. Tang, Cynthia Lo
2017	A*	`conf`	Weisfeiler-Lehman Neural Machine for Link Prediction. KDD Muhan Zhang, Yixin Chen
2016	J	`jnl`	Recovering Metabolic Networks using A Novel Hyperlink Prediction Method. CoRR Muhan Zhang, Zhicheng Cui, Tolutola Oyetunde, Yinjie J. Tang, Yixin Chen
2016	J	`jnl`	WUFlux: an open-source platform for 13C metabolic flux analysis of bacterial metabolism. BMC Bioinform. Lian He, Stephen Gang Wu, Muhan Zhang, Yixin Chen, Yinjie J. Tang
2015	J	`jnl`	Active Learning for Web Search Ranking via Noise Injection. ACM Trans. Web Wenbin Cai, Muhan Zhang, Ya Zhang
2015	J	`jnl`	Active learning for ranking with sample density. Inf. Retr. J. Wenbin Cai, Muhan Zhang, Ya Zhang
2015	—	`conf`	Towards a Google Glass Based Head Control Communication System for People with Disabilities. HCI (28) James Gips, Muhan Zhang, Deirdre Anderson