Linqi Zhou

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 26

Top Topics

Unsupervised Clustering

Predictive Power

Diffusion Models

Top Venues

Publications

Linqi Zhou, Aaron Lou, Samar Khanna, Stefano Ermon
Denoising Diffusion Bridge Models. ICLR (2024)
Samar Khanna, Patrick Liu, Linqi Zhou, Chenlin Meng, Robin Rombach, Marshall Burke, David B. Lobell, Stefano Ermon
DiffusionSat: A Generative Foundation Model for Satellite Imagery. ICLR (2024)
Aaditya Prasad, Kevin Lin, Jimmy Wu, Linqi Zhou, Jeannette Bohg
Consistency Policy: Accelerated Visuomotor Policies via Consistency Distillation. CoRR (2024)
Linqi Zhou, Andy Shih, Chenlin Meng, Stefano Ermon
DreamPropeller: Supercharge Text-to-3D Generation with Parallel Sampling. CoRR (2023)
Linqi Zhou, Aaron Lou, Samar Khanna, Stefano Ermon
Denoising Diffusion Bridge Models. CoRR (2023)
Samar Khanna, Patrick Liu, Linqi Zhou, Chenlin Meng, Robin Rombach, Marshall Burke, David B. Lobell, Stefano Ermon
DiffusionSat: A Generative Foundation Model for Satellite Imagery. CoRR (2023)
Isaac Kauvar, Chris Doyle, Linqi Zhou, Nick Haber
Curious Replay for Model-based Adaptation. CoRR (2023)
Bram Wallace, Meihua Dang, Rafael Rafailov, Linqi Zhou, Aaron Lou, Senthil Purushwalkam, Stefano Ermon, Caiming Xiong, Shafiq Joty, Nikhil Naik
Diffusion Model Alignment Using Direct Preference Optimization. CoRR (2023)
Carlota Parés-Morlans, Claire Chen, Yijia Weng, Michelle Yi, Yuying Huang, Nick Heppert, Linqi Zhou, Leonidas J. Guibas, Jeannette Bohg
AO-Grasp: Articulated Object Grasp Generation. CoRR (2023)
Linqi Zhou, Michael Poli, Winnie Xu, Stefano Massaroli, Stefano Ermon
Deep Latent State Space Models for Time-Series Generation. ICML (2023)
Isaac Kauvar, Chris Doyle, Linqi Zhou, Nick Haber
Curious Replay for Model-based Adaptation. ICML (2023)
Chenlin Meng, Linqi Zhou, Kristy Choi, Tri Dao, Stefano Ermon
ButterflyFlow: Building Invertible Layers with Butterfly Matrices. ICML (2022)
Gimin Nam, Mariem Khlifi, Andrew Rodriguez, Alberto Tono, Linqi Zhou, Paul Guerrero
3D-LDM: Neural Implicit 3D Shape Generation with Latent Diffusion Models. CoRR (2022)
Linqi Zhou, Michael Poli, Winnie Xu, Stefano Massaroli, Stefano Ermon
Deep Latent State Space Models for Time-Series Generation. CoRR (2022)
Chenlin Meng, Linqi Zhou, Kristy Choi, Tri Dao, Stefano Ermon
ButterflyFlow: Building Invertible Layers with Butterfly Matrices. CoRR (2022)
Linqi Zhou, Yilun Du, Jiajun Wu
3D Shape Generation and Completion through Point-Voxel Diffusion. CoRR (2021)
Luyao Yuan, Zipeng Fu, Linqi Zhou, Kexin Yang, Song-Chun Zhu
Emergence of Theory of Mind Collaboration in Multiagent Systems. CoRR (2021)
Linqi Zhou, Yilun Du, Jiajun Wu
3D Shape Generation and Completion through Point-Voxel Diffusion. ICCV (2021)
Tian Han, Erik Nijkamp, Linqi Zhou, Bo Pang, Song-Chun Zhu, Ying Nian Wu
Joint Training of Variational Auto-Encoder and Latent Energy-Based Model. CoRR (2020)
Tian Han, Erik Nijkamp, Linqi Zhou, Bo Pang, Song-Chun Zhu, Ying Nian Wu
Joint Training of Variational Auto-Encoder and Latent Energy-Based Model. CVPR (2020)
Erik Nijkamp, Bo Pang, Tian Han, Linqi Zhou, Song-Chun Zhu, Ying Nian Wu
Learning Multi-layer Latent Variable Model via Variational Optimization of Short Run MCMC for Approximate Inference. ECCV (6) (2020)
Bo Pang, Erik Nijkamp, Wenjuan Han, Linqi Zhou, Yixian Liu, Kewei Tu
Towards Holistic and Automatic Evaluation of Open-Domain Dialogue Generation. ACL (2020)
Dandan Zhu, Tian Han, Linqi Zhou, Xiaokang Yang, Ying Nian Wu
Deep Unsupervised Clustering with Clustered Generator Model. CoRR (2019)
Erik Nijkamp, Bo Pang, Tian Han, Linqi Zhou, Song-Chun Zhu, Ying Nian Wu
Learning Deep Generative Models with Short Run Inference Dynamics. CoRR (2019)
Zijun Zhang, Linqi Zhou, Liangke Gou, Ying Nian Wu
Neural Architecture Search for Joint Optimization of Predictive Power and Biological Knowledge. CoRR (2019)
Yingjin Qian, Yonggang Li, Yi Wang, Linqi Zhou
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). 计算机科学 42 (9) (2015)
Qiuqi Ding, Linqi Zhou, Min Tao, Renlong Li
Research on Random Noise Attenuation in Transform Domain. ICDMA (2011)
Linqi Zhou, Xiaotu Ma, Fengzhu Sun
The effects of protein interactions, gene essentiality and regulatory regions on expression variation. BMC Syst. Biol. 2 (2008)