The effects of protein interactions, gene essentiality and regulatory regions on expression variation. - Linqi Zhou; Xiaotu Ma; Fengzhu Sun (BMC Syst. Biol., 2008)

Research on Random Noise Attenuation in Transform Domain. - Qiuqi Ding; Linqi Zhou; Min Tao; Renlong Li (ICDMA, 2011)

Lustre文件系统元数据服务恢复机制的改进 (Improvement of Recovery Mechanism for Lustre Metadata Service). - Yingjin Qian; Yonggang Li; Yi Wang; Linqi Zhou (计算机科学, 2015)

Neural Architecture Search for Joint Optimization of Predictive Power and Biological Knowledge. - Zijun Zhang; Linqi Zhou; Liangke Gou; Ying Nian Wu (CoRR, 2019)

Deep Unsupervised Clustering with Clustered Generator Model. - Dandan Zhu 001; Tian Han 001; Linqi Zhou; Xiaokang Yang 001; Ying Nian Wu (CoRR, 2019)

Learning Deep Generative Models with Short Run Inference Dynamics. - Erik Nijkamp; Bo Pang 004; Tian Han 001; Linqi Zhou; Song-Chun Zhu; Ying Nian Wu (CoRR, 2019)

Towards Holistic and Automatic Evaluation of Open-Domain Dialogue Generation. - Bo Pang 004; Erik Nijkamp; Wenjuan Han; Linqi Zhou; Yixian Liu; Kewei Tu (ACL, 2020)

Joint Training of Variational Auto-Encoder and Latent Energy-Based Model. - Tian Han 001; Erik Nijkamp; Linqi Zhou; Bo Pang 004; Song-Chun Zhu; Ying Nian Wu (CVPR, 2020)

Learning Multi-layer Latent Variable Model via Variational Optimization of Short Run MCMC for Approximate Inference. - Erik Nijkamp; Bo Pang 004; Tian Han 001; Linqi Zhou; Song-Chun Zhu; Ying Nian Wu (ECCV (6), 2020)

3D Shape Generation and Completion through Point-Voxel Diffusion. - Linqi Zhou; Yilun Du; Jiajun Wu 001 (ICCV, 2021)

Emergence of Theory of Mind Collaboration in Multiagent Systems. - Luyao Yuan; Zipeng Fu; Linqi Zhou; Kexin Yang; Song-Chun Zhu (CoRR, 2021)

ButterflyFlow: Building Invertible Layers with Butterfly Matrices. - Chenlin Meng; Linqi Zhou; Kristy Choi; Tri Dao; Stefano Ermon (ICML, 2022)

3D-LDM: Neural Implicit 3D Shape Generation with Latent Diffusion Models. - Gimin Nam; Mariem Khlifi; Andrew Rodriguez; Alberto Tono; Linqi Zhou; Paul Guerrero 001 (CoRR, 2022)

Curious Replay for Model-based Adaptation. - Isaac Kauvar; Chris Doyle; Linqi Zhou; Nick Haber (ICML, 2023)

Deep Latent State Space Models for Time-Series Generation. - Linqi Zhou; Michael Poli; Winnie Xu; Stefano Massaroli; Stefano Ermon (ICML, 2023)

Diffusion Model Alignment Using Direct Preference Optimization. - Bram Wallace; Meihua Dang; Rafael Rafailov; Linqi Zhou; Aaron Lou; Senthil Purushwalkam; Stefano Ermon; Caiming Xiong; Shafiq Joty; Nikhil Naik (CVPR, 2024)

DreamPropeller: Supercharge Text-to-3D Generation with Parallel Sampling. - Linqi Zhou; Andy Shih; Chenlin Meng; Stefano Ermon (CVPR, 2024)

DiffusionSat: A Generative Foundation Model for Satellite Imagery. - Samar Khanna; Patrick Liu; Linqi Zhou; Chenlin Meng; Robin Rombach; Marshall Burke; David B. Lobell; Stefano Ermon (ICLR, 2024)

Denoising Diffusion Bridge Models. - Linqi Zhou; Aaron Lou; Samar Khanna; Stefano Ermon (ICLR, 2024)

AO-Grasp: Articulated Object Grasp Generation. - Carlota Parés-Morlans; Claire Chen; Yijia Weng; Michelle Yi; Yuying Huang; Nick Heppert; Linqi Zhou; Leonidas J. Guibas; Jeannette Bohg (IROS, 2024)

Consistency Policy: Accelerated Visuomotor Policies via Consistency Distillation. - Aaditya Prasad; Kevin Lin; Jimmy Wu; Linqi Zhou; Jeannette Bohg (Robotics: Science and Systems, 2024)

3D-Adapter: Geometry-Consistent Multi-View Diffusion for High-Quality 3D Generation. - Hansheng Chen 001; Bokui Shen; Yulin Liu; Ruoxi Shi; Linqi Zhou; Connor Z. Lin; Jiayuan Gu; Hao Su 001; Gordon Wetzstein; Leonidas J. Guibas (CoRR, 2024)

Personalized Preference Fine-tuning of Diffusion Models. - Meihua Dang; Anikait Singh; Linqi Zhou; Stefano Ermon; Jiaming Song (CVPR, 2025)

Ideas in Inference-time Scaling can Benefit Generative Pre-training Algorithms. - Jiaming Song; Linqi Zhou (CoRR, 2025)

Inductive Moment Matching. - Linqi Zhou; Stefano Ermon; Jiaming Song (CoRR, 2025)