Minkai Xu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
25
Venues
7
Active years
2020–2025
Best venue rank
A*
Where they publish
Papers
25 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AISTATS | f-PO: Generalizing Preference Optimization with f-divergence Minimization. | Jiaqi Han, Mingjian Jiang, Yuxuan Song, Stefano Ermon, Minkai Xu |
| 2025 | AISTATS | RetroDiff: Retrosynthesis as Multi-stage Distribution Interpolation. | Yiming Wang, Yuxuan Song, Yiqun Wang, Minkai Xu, Rui Wang, Hao Zhou, Wei-Ying Ma |
| 2025 | ICCV | CHORDS: Diffusion Sampling Accelerator with Multi-Core Hierarchical ODE Solvers. | Jiaqi Han, Haotian Ye, Puheng Li, Minkai Xu, James Zou, Stefano Ermon |
| 2025 | ICLR | SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction. | Ling Yang, Zhaochen Yu, Tianjun Zhang, Minkai Xu, Joseph E. Gonzalez, Bin Cui, Shuicheng Yan |
| 2025 | ICLR | TabDiff: a Mixed-type Diffusion Model for Tabular Data Generation. | Juntong Shi, Minkai Xu, Harper Hua, Hengrui Zhang, Stefano Ermon, Jure Leskovec |
| 2025 | ICLR | Energy-Based Diffusion Language Models for Text Generation. | Minkai Xu, Tomas Geffner, Karsten Kreis, Weili Nie, Yilun Xu, Jure Leskovec, Stefano Ermon, Arash Vahdat |
| 2025 | ICML | Smooth Interpolation for Improved Discrete Graph Generative Models. | Yuxuan Song, Juntong Shi, Jingjing Gong, Minkai Xu, Stefano Ermon, Hao Zhou, Wei-Ying Ma |
| 2025 | IJCNN | Offline Model-based Optimization with Fisher Divergence Regularization. | Mingcheng Chen, Minkai Xu, Yichen Zhu, Haoran Zhao, Weinan Zhang, Yong Yu |
| 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 | Cross-Modal Contextualized Diffusion Models for Text-Guided Visual Generation and Editing. | Ling Yang, Zhilong Zhang, Zhaochen Yu, Jingwei Liu, Minkai Xu, Stefano Ermon, Bin Cui |
| 2024 | ICML | Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs. | Ling Yang, Zhaochen Yu, Chenlin Meng, Minkai Xu, Stefano Ermon, Bin Cui |
| 2024 | ICML | Equivariant Graph Neural Operator for Modeling 3D Dynamics. | Minkai Xu, Jiaqi Han, Aaron Lou, Jean Kossaifi, Arvind Ramanathan, Kamyar Azizzadenesheli, Jure Leskovec, Stefano Ermon, Anima Anandkumar |
| 2023 | ICML | FusionRetro: Molecule Representation Fusion via In-Context Learning for Retrosynthetic Planning. | Songtao Liu, Zhengkai Tu, Minkai Xu, Zuobai Zhang, Lu Lin, Rex Ying, Jian Tang, Peilin Zhao, Dinghao Wu |
| 2023 | ICML | Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation in 3D. | Bo Qiang, Yuxuan Song, Minkai Xu, Jingjing Gong, Bowen Gao, Hao Zhou, Wei-Ying Ma, Yanyan Lan |
| 2023 | ICML | Geometric Latent Diffusion Models for 3D Molecule Generation. | Minkai Xu, Alexander S. Powers, Ron O. Dror, Stefano Ermon, Jure Leskovec |
| 2023 | KDD | Graph and Geometry Generative Modeling for Drug Discovery. | Minkai Xu, Meng Liu, Wengong Jin, Shuiwang Ji, Jure Leskovec, Stefano Ermon |
| 2022 | ICLR | GeoDiff: A Geometric Diffusion Model for Molecular Conformation Generation. | Minkai Xu, Lantao Yu, Yang Song, Chence Shi, Stefano Ermon, Jian Tang |
| 2022 | ICML | Generative Coarse-Graining of Molecular Conformations. | Wujie Wang, Minkai Xu, Chen Cai, Benjamin Kurt Miller, Tess E. Smidt, Yusu Wang, Jian Tang, Rafael Gmez-Bombarelli |
| 2021 | AAAI | Towards Generalized Implementation of Wasserstein Distance in GANs. | Minkai Xu |
| 2021 | ICLR | Learning Neural Generative Dynamics for Molecular Conformation Generation. | Minkai Xu, Shitong Luo, Yoshua Bengio, Jian Peng, Jian Tang |
| 2021 | ICML | Learning Gradient Fields for Molecular Conformation Generation. | Chence Shi, Shitong Luo, Minkai Xu, Jian Tang |
| 2021 | ICML | An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming. | Minkai Xu, Wujie Wang, Shitong Luo, Chence Shi, Yoshua Bengio, Rafael Gmez-Bombarelli, Jian Tang |
| 2020 | AAAI | Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip. | Yuxuan Song, Minkai Xu, Lantao Yu, Hao Zhou, Shuo Shao, Yong Yu |
| 2020 | ICLR | GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation. | Chence Shi, Minkai Xu, Zhaocheng Zhu, Weinan Zhang, Ming Zhang, Jian Tang |
| 2020 | ICML | A Graph to Graphs Framework for Retrosynthesis Prediction. | Chence Shi, Minkai Xu, Hongyu Guo, Ming Zhang, Jian Tang |