Minkai Xu - RankMe

83 papers A* 31A 3B 1Journal 47Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems. Found. Trends Mach. Learn. 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
2025	J	`jnl`	CHORDS: Diffusion Sampling Accelerator with Multi-core Hierarchical ODE Solvers. CoRR Jiaqi Han, Haotian Ye, Puheng Li, Minkai Xu, James Zou, Stefano Ermon
2025	J	`jnl`	Discrete Diffusion Trajectory Alignment via Stepwise Decomposition. CoRR Jiaqi Han, Austin Wang, Minkai Xu, Wenda Chu, Meihua Dang, Yisong Yue, Stefano Ermon
2025	J	`jnl`	Divergence Minimization Preference Optimization for Diffusion Model Alignment. CoRR Binxu Li, Minkai Xu, Meihua Dang, Stefano Ermon
2025	A*	`conf`	Energy-Based Diffusion Language Models for Text Generation. ICLR Minkai Xu, Tomas Geffner, Karsten Kreis, Weili Nie, Yilun Xu, Jure Leskovec, Stefano Ermon, Arash Vahdat
2025	J	`jnl`	Generative Modeling Enables Molecular Structure Retrieval from Coulomb Explosion Imaging. CoRR Xiang Li, Till Jahnke, Rebecca Boll, Jiaqi Han, Minkai Xu, Michael Meyer, Maria Novella Piancastelli, Daniel Rolles, Artem Rudenko, Florian Trinter, Thomas J. A. Wolf, Jana B. Thayer, James P. Cryan, Stefano Ermon, Phay J. Ho
2025	J	`jnl`	Inference-Time Scaling of Diffusion Language Models with Particle Gibbs Sampling. CoRR Meihua Dang, Jiaqi Han, Minkai Xu, Kai Xu, Akash Srivastava, Stefano Ermon
2025	B	`conf`	Offline Model-based Optimization with Fisher Divergence Regularization. IJCNN Mingcheng Chen, Minkai Xu, Yichen Zhu, Haoran Zhao, Weinan Zhang, Yong Yu
2025	J	`jnl`	Principled RL for Diffusion LLMs Emerges from a Sequence-Level Perspective. CoRR Jingyang Ou, Jiaqi Han, Minkai Xu, Shaoxuan Xu, Jianwen Xie, Stefano Ermon, Yi Wu, Chongxuan Li
2025	J	`jnl`	RFG: Test-Time Scaling for Diffusion Large Language Model Reasoning with Reward-Free Guidance. CoRR Tianlang Chen, Minkai Xu, Jure Leskovec, Stefano Ermon
2025	J	`jnl`	RelDiff: Relational Data Generative Modeling with Graph-Based Diffusion Models. CoRR Valter Hudovernik, Minkai Xu, Juntong Shi, Lovro Subelj, Stefano Ermon, Erik Strumbelj, Jure Leskovec
2025	A	`conf`	RetroDiff: Retrosynthesis as Multi-stage Distribution Interpolation. AISTATS Yiming Wang, Yuxuan Song, Yiqun Wang, Minkai Xu, Rui Wang, Hao Zhou, Wei-Ying Ma
2025	A*	`conf`	Smooth Interpolation for Improved Discrete Graph Generative Models. ICML Yuxuan Song, Juntong Shi, Jingjing Gong, Minkai Xu, Stefano Ermon, Hao Zhou, Wei-Ying Ma
2025	J	`jnl`	Spatio-Temporal Energy-Guided Diffusion Model for Zero-Shot Video Synthesis and Editing. IEEE Trans. Circuits Syst. Video Technol. Ling Yang, Yikai Zhao, Zhaochen Yu, Bohan Zeng, Minkai Xu, Shenda Hong, Bin Cui
2025	A*	`conf`	SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction. ICLR Ling Yang, Zhaochen Yu, Tianjun Zhang, Minkai Xu, Joseph E. Gonzalez, Bin Cui, Shuicheng Yan
2025	A*	`conf`	TabDiff: a Mixed-type Diffusion Model for Tabular Data Generation. ICLR Juntong Shi, Minkai Xu, Harper Hua, Hengrui Zhang, Stefano Ermon, Jure Leskovec
2025	A	`conf`	f-PO: Generalizing Preference Optimization with f-divergence Minimization. AISTATS Jiaqi Han, Mingjian Jiang, Yuxuan Song, Stefano Ermon, Minkai Xu
2024	J	`jnl`	3D Interaction Geometric Pre-training for Molecular Relational Learning. CoRR Namkyeong Lee, Yunhak Oh, Heewoong Noh, Gyoung S. Na, Minkai Xu, Hanchen Wang, Tianfan Fu, Chanyoung Park
2024	A*	`conf`	Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization. NeurIPS Siyi Gu, Minkai Xu, Alexander S. Powers, Weili Nie, Tomas Geffner, Karsten Kreis, Jure Leskovec, Arash Vahdat, Stefano Ermon
2024	J	`jnl`	Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization. CoRR Siyi Gu, Minkai Xu, Alexander S. Powers, Weili Nie, Tomas Geffner, Karsten Kreis, Jure Leskovec, Arash Vahdat, Stefano Ermon
2024	A*	`conf`	Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models. NeurIPS Ling Yang, Zhaochen Yu, Tianjun Zhang, Shiyi Cao, Minkai Xu, Wentao Zhang, Joseph E. Gonzalez, Bin Cui
2024	J	`jnl`	Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models. CoRR Ling Yang, Zhaochen Yu, Tianjun Zhang, Shiyi Cao, Minkai Xu, Wentao Zhang, Joseph E. Gonzalez, Bin Cui
2024	J	`jnl`	Consistency Flow Matching: Defining Straight Flows with Velocity Consistency. CoRR Ling Yang, Zixiang Zhang, Zhilong Zhang, Xingchao Liu, Minkai Xu, Wentao Zhang, Chenlin Meng, Stefano Ermon, Bin Cui
2024	A*	`conf`	Cross-Modal Contextualized Diffusion Models for Text-Guided Visual Generation and Editing. ICLR Ling Yang, Zhilong Zhang, Zhaochen Yu, Jingwei Liu, Minkai Xu, Stefano Ermon, Bin Cui
2024	J	`jnl`	Cross-Modal Contextualized Diffusion Models for Text-Guided Visual Generation and Editing. CoRR Ling Yang, Zhilong Zhang, Zhaochen Yu, Jingwei Liu, Minkai Xu, Stefano Ermon, Bin Cui
2024	J	`jnl`	Energy-Based Diffusion Language Models for Text Generation. CoRR Minkai Xu, Tomas Geffner, Karsten Kreis, Weili Nie, Yilun Xu, Jure Leskovec, Stefano Ermon, Arash Vahdat
2024	A*	`conf`	Equivariant Graph Neural Operator for Modeling 3D Dynamics. ICML Minkai Xu, Jiaqi Han, Aaron Lou, Jean Kossaifi, Arvind Ramanathan, Kamyar Azizzadenesheli, Jure Leskovec, Stefano Ermon, Anima Anandkumar
2024	J	`jnl`	Equivariant Graph Neural Operator for Modeling 3D Dynamics. CoRR Minkai Xu, Jiaqi Han, Aaron Lou, Jean Kossaifi, Arvind Ramanathan, Kamyar Azizzadenesheli, Jure Leskovec, Stefano Ermon, Anima Anandkumar
2024	A*	`conf`	Geometric Trajectory Diffusion Models. NeurIPS Jiaqi Han, Minkai Xu, Aaron Lou, Haotian Ye, Stefano Ermon
2024	J	`jnl`	Geometric Trajectory Diffusion Models. CoRR Jiaqi Han, Minkai Xu, Aaron Lou, Haotian Ye, Stefano Ermon
2024	A*	`conf`	MADiff: Offline Multi-agent Learning with Diffusion Models. NeurIPS Zhengbang Zhu, Minghuan Liu, Liyuan Mao, Bingyi Kang, Minkai Xu, Yong Yu, Stefano Ermon, Weinan Zhang
2024	A*	`conf`	Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs. ICML Ling Yang, Zhaochen Yu, Chenlin Meng, Minkai Xu, Stefano Ermon, Bin Cui
2024	J	`jnl`	Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs. CoRR Ling Yang, Zhaochen Yu, Chenlin Meng, Minkai Xu, Stefano Ermon, Bin Cui
2024	A*	`conf`	RealCompo: Balancing Realism and Compositionality Improves Text-to-Image Diffusion Models. NeurIPS Xinchen Zhang, Ling Yang, Yaqi Cai, Zhaochen Yu, Kai-Ni Wang, Jiake Xie, Ye Tian, Minkai Xu, Yong Tang, Yujiu Yang, Bin Cui
2024	J	`jnl`	RealCompo: Dynamic Equilibrium between Realism and Compositionality Improves Text-to-Image Diffusion Models. CoRR Xinchen Zhang, Ling Yang, Yaqi Cai, Zhaochen Yu, Jiake Xie, Ye Tian, Minkai Xu, Yong Tang, Yujiu Yang, Bin Cui
2024	J	`jnl`	SuperCorrect: Supervising and Correcting Language Models with Error-Driven Insights. CoRR Ling Yang, Zhaochen Yu, Tianjun Zhang, Minkai Xu, Joseph E. Gonzalez, Bin Cui, Shuicheng Yan
2024	A*	`conf`	TFG: Unified Training-Free Guidance for Diffusion Models. NeurIPS Haotian Ye, Haowei Lin, Jiaqi Han, Minkai Xu, Sheng Liu, Yitao Liang, Jianzhu Ma, James Y. Zou, Stefano Ermon
2024	J	`jnl`	TFG: Unified Training-Free Guidance for Diffusion Models. CoRR Haotian Ye, Haowei Lin, Jiaqi Han, Minkai Xu, Sheng Liu, Yitao Liang, Jianzhu Ma, James Zou, Stefano Ermon
2024	J	`jnl`	TabDiff: a Multi-Modal Diffusion Model for Tabular Data Generation. CoRR Juntong Shi, Minkai Xu, Harper Hua, Hengrui Zhang, Stefano Ermon, Jure Leskovec
2024	J	`jnl`	The Heterophilic Graph Learning Handbook: Benchmarks, Models, Theoretical Analysis, Applications and Challenges. CoRR Sitao Luan, Chenqing Hua, Qincheng Lu, Liheng Ma, Lirong Wu, Xinyu Wang, Minkai Xu, Xiao-Wen Chang, Doina Precup, Rex Ying, Stan Z. Li, Jian Tang, Guy Wolf, Stefanie Jegelka
2024	J	`jnl`	Trans4D: Realistic Geometry-Aware Transition for Compositional Text-to-4D Synthesis. CoRR Bohan Zeng, Ling Yang, Siyu Li, Jiaming Liu, Zixiang Zhang, Juanxi Tian, Kaixin Zhu, Yongzhen Guo, Fu-Yun Wang, Minkai Xu, Stefano Ermon, Wentao 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	J	`jnl`	Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems. CoRR 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, Haiyang Yu, Yuqing Xie, Xiang Fu, Alex Strasser, 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
2023	A*	`conf`	Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation in 3D. ICML Bo Qiang, Yuxuan Song, Minkai Xu, Jingjing Gong, Bowen Gao, Hao Zhou, Wei-Ying Ma, Yanyan Lan
2023	J	`jnl`	Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation in 3D. CoRR Bo Qiang, Yuxuan Song, Minkai Xu, Jingjing Gong, Bowen Gao, Hao Zhou, Wei-Ying Ma, Yanyan Lan
2023	A*	`conf`	Equivariant Flow Matching with Hybrid Probability Transport for 3D Molecule Generation. NeurIPS Yuxuan Song, Jingjing Gong, Minkai Xu, Ziyao Cao, Yanyan Lan, Stefano Ermon, Hao Zhou, Wei-Ying Ma
2023	J	`jnl`	Equivariant Flow Matching with Hybrid Probability Transport. CoRR Yuxuan Song, Jingjing Gong, Minkai Xu, Ziyao Cao, Yanyan Lan, Stefano Ermon, Hao Zhou, Wei-Ying Ma
2023	A*	`conf`	FusionRetro: Molecule Representation Fusion via In-Context Learning for Retrosynthetic Planning. ICML Songtao Liu, Zhengkai Tu, Minkai Xu, Zuobai Zhang, Lu Lin, Rex Ying, Jian Tang, Peilin Zhao, Dinghao Wu
2023	A*	`conf`	Geometric Latent Diffusion Models for 3D Molecule Generation. ICML Minkai Xu, Alexander S. Powers, Ron O. Dror, Stefano Ermon, Jure Leskovec
2023	J	`jnl`	Geometric Latent Diffusion Models for 3D Molecule Generation. CoRR Minkai Xu, Alexander S. Powers, Ron O. Dror, Stefano Ermon, Jure Leskovec
2023	A*	`conf`	Graph and Geometry Generative Modeling for Drug Discovery. KDD Minkai Xu, Meng Liu, Wengong Jin, Shuiwang Ji, Jure Leskovec, Stefano Ermon
2023	J	`jnl`	MADiff: Offline Multi-agent Learning with Diffusion Models. CoRR Zhengbang Zhu, Minghuan Liu, Liyuan Mao, Bingyi Kang, Minkai Xu, Yong Yu, Stefano Ermon, Weinan Zhang
2023	—	`conf`	MUDiff: Unified Diffusion for Complete Molecule Generation. LoG Chenqing Hua, Sitao Luan, Minkai Xu, Zhitao Ying, Jie Fu, Stefano Ermon, Doina Precup
2023	J	`jnl`	MUDiff: Unified Diffusion for Complete Molecule Generation. CoRR Chenqing Hua, Sitao Luan, Minkai Xu, Rex Ying, Jie Fu, Stefano Ermon, Doina Precup
2023	J	`jnl`	RetroDiff: Retrosynthesis as Multi-stage Distribution Interpolation. CoRR Yiming Wang, Yuxuan Song, Minkai Xu, Rui Wang, Hao Zhou, Weiying Ma
2023	A*	`conf`	Scaling Riemannian Diffusion Models. NeurIPS Aaron Lou, Minkai Xu, Adam Farris, Stefano Ermon
2023	J	`jnl`	Scaling Riemannian Diffusion Models. CoRR Aaron Lou, Minkai Xu, Stefano Ermon
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
2023	J	`jnl`	When Do Graph Neural Networks Help with Node Classification: Investigating the Homophily Principle on Node Distinguishability. CoRR Sitao Luan, Chenqing Hua, Minkai Xu, Qincheng Lu, Jiaqi Zhu, Xiao-Wen Chang, Jie Fu, Jure Leskovec, Doina Precup
2023	A*	`conf`	When Do Graph Neural Networks Help with Node Classification? Investigating the Homophily Principle on Node Distinguishability. NeurIPS Sitao Luan, Chenqing Hua, Minkai Xu, Qincheng Lu, Jiaqi Zhu, Xiao-Wen Chang, Jie Fu, Jure Leskovec, Doina Precup
2022	A*	`conf`	Generative Coarse-Graining of Molecular Conformations. ICML Wujie Wang, Minkai Xu, Chen Cai, Benjamin Kurt Miller, Tess E. Smidt, Yusu Wang, Jian Tang, Rafael Gómez-Bombarelli
2022	J	`jnl`	Generative Coarse-Graining of Molecular Conformations. CoRR Wujie Wang, Minkai Xu, Chen Cai, Benjamin Kurt Miller, Tess E. Smidt, Yusu Wang, Jian Tang, Rafael Gómez-Bombarelli
2022	A*	`conf`	GeoDiff: A Geometric Diffusion Model for Molecular Conformation Generation. ICLR Minkai Xu, Lantao Yu, Yang Song, Chence Shi, Stefano Ermon, Jian Tang
2022	J	`jnl`	GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation. CoRR Minkai Xu, Lantao Yu, Yang Song, Chence Shi, Stefano Ermon, Jian Tang
2021	A*	`conf`	An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming. ICML Minkai Xu, Wujie Wang, Shitong Luo, Chence Shi, Yoshua Bengio, Rafael Gómez-Bombarelli, Jian Tang
2021	J	`jnl`	An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming. CoRR Minkai Xu, Wujie Wang, Shitong Luo, Chence Shi, Yoshua Bengio, Rafael Gómez-Bombarelli, Jian Tang
2021	A	`conf`	Energy-Based Imitation Learning. AAMAS Minghuan Liu, Tairan He, Minkai Xu, Weinan Zhang
2021	A*	`conf`	Learning Gradient Fields for Molecular Conformation Generation. ICML Chence Shi, Shitong Luo, Minkai Xu, Jian Tang
2021	J	`jnl`	Learning Gradient Fields for Molecular Conformation Generation. CoRR Chence Shi, Shitong Luo, Minkai Xu, Jian Tang
2021	A*	`conf`	Learning Neural Generative Dynamics for Molecular Conformation Generation. ICLR Minkai Xu, Shitong Luo, Yoshua Bengio, Jian Peng, Jian Tang
2021	J	`jnl`	Learning Neural Generative Dynamics for Molecular Conformation Generation. CoRR Minkai Xu, Shitong Luo, Yoshua Bengio, Jian Peng, Jian Tang
2021	A*	`conf`	Predicting Molecular Conformation via Dynamic Graph Score Matching. NeurIPS Shitong Luo, Chence Shi, Minkai Xu, Jian Tang
2021	A*	`conf`	Towards Generalized Implementation of Wasserstein Distance in GANs. AAAI Minkai Xu
2020	A*	`conf`	A Graph to Graphs Framework for Retrosynthesis Prediction. ICML Chence Shi, Minkai Xu, Hongyu Guo, Ming Zhang, Jian Tang
2020	J	`jnl`	A Graph to Graphs Framework for Retrosynthesis Prediction. CoRR Chence Shi, Minkai Xu, Hongyu Guo, Ming Zhang, Jian Tang
2020	J	`jnl`	Discriminator Contrastive Divergence: Semi-Amortized Generative Modeling by Exploring Energy of the Discriminator. CoRR Yuxuan Song, Qiwei Ye, Minkai Xu, Tie-Yan Liu
2020	J	`jnl`	Energy-Based Imitation Learning. CoRR Minghuan Liu, Tairan He, Minkai Xu, Weinan Zhang
2020	A*	`conf`	GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation. ICLR Chence Shi, Minkai Xu, Zhaocheng Zhu, Weinan Zhang, Ming Zhang, Jian Tang
2020	J	`jnl`	GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation. CoRR Chence Shi, Minkai Xu, Zhaocheng Zhu, Weinan Zhang, Ming Zhang, Jian Tang
2020	A*	`conf`	Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip. AAAI Yuxuan Song, Minkai Xu, Lantao Yu, Hao Zhou, Shuo Shao, Yong Yu
2020	J	`jnl`	Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip. CoRR Yuxuan Song, Minkai Xu, Lantao Yu, Hao Zhou, Shuo Shao, Yong Yu
2020	J	`jnl`	Reciprocal Supervised Learning Improves Neural Machine Translation. CoRR Minkai Xu, Mingxuan Wang, Zhouhan Lin, Hao Zhou, Weinan Zhang, Lei Li
2020	J	`jnl`	Sobolev Wasserstein GAN. CoRR Minkai Xu, Zhiming Zhou, Guansong Lu, Jian Tang, Weinan Zhang, Yong Yu