Liu, Meng

34 publications

FnTML 2025 Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems Xuan Zhang, Limei Wang, Jacob Helwig, Youzhi Luo, Cong Fu, Yaochen Xie, Meng Liu, Yuchao Lin, Zhao Xu, Keqiang Yan, Keir Adams, Maurice Weiler, Xiner Li, Tianfan Fu, Yucheng Wang, Alex Strasser, Haiyang Yu, Yuqing Xie, Xiang Fu, Shenglong Xu, Yi Liu, Yuanqi Du, Alexandra Saxton, Hongyi Ling, Hannah Lawrence, Hannes Stärk, Shurui Gui, Carl Edwards, Nicholas Gao, Adriana Ladera, Tailin Wu, Elyssa F. Hofgard, Aria Mansouri Tehrani, Rui Wang, Ameya Daigavane, Montgomery Bohde, Jerry Kurtin, Qian Huang, Tuong Phung, Minkai Xu, Chaitanya K. Joshi, Simon V. Mathis, Kamyar Azizzadenesheli, Ada Fang, Alán Aspuru-Guzik, Erik J. Bekkers, Michael M. Bronstein, Marinka Zitnik, Anima Anandkumar, Stefano Ermon, Pietro Liò, Rose Yu, Stephan Günnemann, Jure Leskovec, Heng Ji, Jimeng Sun, Regina Barzilay, Tommi S. Jaakkola, Connor W. Coley, Xiaoning Qian, Xiaofeng Qian, Tess E. Smidt, Shuiwang Ji

CVPR 2025 Enhanced Then Progressive Fusion with View Graph for Multi-View Clustering Zhibin Dong, Meng Liu, Siwei Wang, Ke Liang, Yi Zhang, Suyuan Liu, Jiaqi Jin, Xinwang Liu, En Zhu

ICML 2025 GenMol: A Drug Discovery Generalist with Discrete Diffusion Seul Lee, Karsten Kreis, Srimukh Prasad Veccham, Meng Liu, Danny Reidenbach, Yuxing Peng, Saee Gopal Paliwal, Weili Nie, Arash Vahdat

CVPR 2025 Object-Shot Enhanced Grounding Network for Egocentric Video Yisen Feng, Haoyu Zhang, Meng Liu, Weili Guan, Liqiang Nie

ICML 2025 On the Adversarial Robustness of Multi-Kernel Clustering Hao Yu, Weixuan Liang, Ke Liang, Suyuan Liu, Meng Liu, Xinwang Liu

NeurIPS 2025 SAINT: Sequence-Aware Integration for Spatial Transcriptomics Multi-View Clustering Zeyu Zhu, Ke Liang, Lingyuan Meng, Meng Liu, Suyuan Liu, Renxiang Guan, Miaomiao Li, Wanwei Liu, Xinwang Liu

NeurIPS 2025 Spatial Understanding from Videos: Structured Prompts Meet Simulation Data Haoyu Zhang, Meng Liu, Zaijing Li, Haokun Wen, Weili Guan, Yaowei Wang, Liqiang Nie

ICLR 2024 Deep Temporal Graph Clustering Meng Liu, Yue Liu, Ke Liang, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu

ICMLW 2024 DualBind: A Dual-Loss Framework for Protein-Ligand Binding Affinity Prediction Meng Liu, Saee Gopal Paliwal

TMLR 2024 Empowering GNNs via Edge-Aware Weisfeiler-Leman Algorithm Meng Liu, Haiyang Yu, Shuiwang Ji

AAAI 2024 Hawkes-Enhanced Spatial-Temporal Hypergraph Contrastive Learning Based on Criminal Correlations Ke Liang, Sihang Zhou, Meng Liu, Yue Liu, Wenxuan Tu, Yi Zhang, Liming Fang, Zhe Liu, Xinwang Liu

AAAI 2024 MINES: Message Intercommunication for Inductive Relation Reasoning over Neighbor-Enhanced Subgraphs Ke Liang, Lingyuan Meng, Sihang Zhou, Wenxuan Tu, Siwei Wang, Yue Liu, Meng Liu, Long Zhao, Xiangjun Dong, Xinwang Liu

NeurIPS 2024 Molecule Generation with Fragment Retrieval Augmentation Seul Lee, Karsten Kreis, Srimukh Prasad Veccham, Meng Liu, Danny Reidenbach, Saee Paliwal, Arash Vahdat, Weili Nie

ICML 2024 Multi-Factor Adaptive Vision Selection for Egocentric Video Question Answering Haoyu Zhang, Meng Liu, Zixin Liu, Xuemeng Song, Yaowei Wang, Liqiang Nie

ICLR 2024 On the Markov Property of Neural Algorithmic Reasoning: Analyses and Methods Montgomery Bohde, Meng Liu, Alexandra Saxton, Shuiwang Ji

ICLR 2023 Gradient-Guided Importance Sampling for Learning Binary Energy-Based Models Meng Liu, Haoran Liu, Shuiwang Ji

ICML 2023 Graph Mixup with Soft Alignments Hongyi Ling, Zhimeng Jiang, Meng Liu, Shuiwang Ji, Na Zou

NeurIPS 2023 Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization Shurui Gui, Meng Liu, Xiner Li, Youzhi Luo, Shuiwang Ji

NeurIPS 2023 QH9: A Quantum Hamiltonian Prediction Benchmark for QM9 Molecules Haiyang Yu, Meng Liu, Youzhi Luo, Alex Strasser, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji

NeurIPS 2023 Video Timeline Modeling for News Story Understanding Meng Liu, Mingda Zhang, Jialu Liu, Hanjun Dai, Ming-Hsuan Yang, Shuiwang Ji, Zheyun Feng, Boqing Gong

ICML 2022 Generating 3D Molecules for Target Protein Binding Meng Liu, Youzhi Luo, Kanji Uchino, Koji Maruhashi, Shuiwang Ji

ICML 2022 GraphFM: Improving Large-Scale GNN Training via Feature Momentum Haiyang Yu, Limei Wang, Bokun Wang, Meng Liu, Tianbao Yang, Shuiwang Ji

ICLR 2022 Spherical Message Passing for 3D Molecular Graphs Yi Liu, Limei Wang, Meng Liu, Yuchao Lin, Xuan Zhang, Bora Oztekin, Shuiwang Ji

MLOSS 2021 DIG: A Turnkey Library for Diving into Graph Deep Learning Research Meng Liu, Youzhi Luo, Limei Wang, Yaochen Xie, Hao Yuan, Shurui Gui, Haiyang Yu, Zhao Xu, Jingtun Zhang, Yi Liu, Keqiang Yan, Haoran Liu, Cong Fu, Bora M Oztekin, Xuan Zhang, Shuiwang Ji

NeurIPSW 2021 Fast Quantum Property Prediction via Deeper 2D and 3D Graph Networks Meng Liu, Cong Fu, Xuan Zhang, Limei Wang, Yaochen Xie, Hao Yuan, Youzhi Luo, Zhao Xu, Shenglong Xu, Shuiwang Ji

ICLRW 2021 GraphEBM: Molecular Graph Generation with Energy-Based Models Meng Liu, Keqiang Yan, Bora Oztekin, Shuiwang Ji

CVPR 2021 Multi-Modal Relational Graph for Cross-Modal Video Moment Retrieval Yawen Zeng, Da Cao, Xiaochi Wei, Meng Liu, Zhou Zhao, Zheng Qin

CVPRW 2020 NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results Abdelrahman Abdelhamed, Mahmoud Afifi, Radu Timofte, Michael S. Brown, Yue Cao, Zhilu Zhang, Wangmeng Zuo, Xiaoling Zhang, Jiye Liu, Wendong Chen, Changyuan Wen, Meng Liu, Shuailin Lv, Yunchao Zhang, Zhihong Pan, Baopu Li, Teng Xi, Yanwen Fan, Xiyu Yu, Gang Zhang, Jingtuo Liu, Junyu Han, Errui Ding, Songhyun Yu, Bumjun Park, Jechang Jeong, Shuai Liu, Ziyao Zong, Nan Nan, Chenghua Li, Zengli Yang, Long Bao, Shuangquan Wang, Dongwoon Bai, Jungwon Lee, Youngjung Kim, Kyeongha Rho, Changyeop Shin, Sungho Kim, Pengliang Tang, Yiyun Zhao, Yuqian Zhou, Yuchen Fan, Thomas S. Huang, Zhihao Li, Nisarg A. Shah, Wei Liu, Qiong Yan, Yuzhi Zhao, Marcin Mozejko, Tomasz Latkowski, Lukasz Treszczotko, Michal Szafraniuk, Krzysztof Trojanowski, Yanhong Wu, Pablo Navarrete Michelini, Fengshuo Hu, Yunhua Lu, Sujin Kim, Wonjin Kim, Jaayeon Lee, Jang-Hwan Choi, Magauiya Zhussip, Azamat Khassenov, Jong Hyun Kim, Hwechul Cho, Priya Kansal, Sabari Nathan, Zhangyu Ye, Xiwen Lu, Yaqi Wu, Jiangxin Yang, Yanlong Cao, Siliang Tang, Yanpeng Cao, Matteo Maggioni, Ioannis Marras, Thomas Tanay, Gregory G. Slabaugh, Youliang Yan, Myungjoo Kang, Han-Soo Choi, Kyungmin Song, Shusong Xu, Xiaomu Lu, Tingniao Wang, Chunxia Lei, Bin Liu, Rajat Gupta, Vineet Kumar

ACML 2020 Network Representation Learning Algorithm Based on Neighborhood Influence Sequence Meng Liu, Ziwei Quan, Yong Liu

NeurIPS 2020 Strongly Local P-Norm-Cut Algorithms for Semi-Supervised Learning and Local Graph Clustering Meng Liu, David F Gleich

NeurIPS 2020 The Diversified Ensemble Neural Network Shaofeng Zhang, Meng Liu, Junchi Yan

AAAI 2017 Cost-Sensitive Feature Selection via F-Measure Optimization Reduction Meng Liu, Chang Xu, Yong Luo, Chao Xu, Yonggang Wen, Dacheng Tao

IJCAI 2017 Fast SVM Trained by Divide-and-Conquer Anchors Meng Liu, Chang Xu, Chao Xu, Dacheng Tao

AAAI 2015 Low-Rank Multi-View Learning in Matrix Completion for Multi-Label Image Classification Meng Liu, Yong Luo, Dacheng Tao, Chao Xu, Yonggang Wen