Linqi Zhou

According to our database, Linqi Zhou authored at least 20 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

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

CoRR, 2023

DreamPropeller: Supercharge Text-to-3D Generation with Parallel Sampling.

Linqi Zhou, Andy Shih, Chenlin Meng, Stefano Ermon

CoRR, 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

CoRR, 2023

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

CoRR, 2023

Denoising Diffusion Bridge Models.

Linqi Zhou, Aaron Lou, Samar Khanna, Stefano Ermon

CoRR, 2023

Deep Latent State Space Models for Time-Series Generation.

Linqi Zhou, Michael Poli, Winnie Xu, Stefano Massaroli, Stefano Ermon

Proceedings of the International Conference on Machine Learning, 2023

Curious Replay for Model-based Adaptation.

Isaac Kauvar, Chris Doyle, Linqi Zhou, Nick Haber

Proceedings of the International Conference on Machine Learning, 2023

2022

3D-LDM: Neural Implicit 3D Shape Generation with Latent Diffusion Models.

Gimin Nam, Mariem Khlifi, Andrew Rodriguez, Alberto Tono, Linqi Zhou, Paul Guerrero

CoRR, 2022

ButterflyFlow: Building Invertible Layers with Butterfly Matrices.

Chenlin Meng, Linqi Zhou, Kristy Choi, Tri Dao, Stefano Ermon

Proceedings of the International Conference on Machine Learning, 2022

2021

Emergence of Theory of Mind Collaboration in Multiagent Systems.

Luyao Yuan, Zipeng Fu, Linqi Zhou, Kexin Yang, Song-Chun Zhu

CoRR, 2021

3D Shape Generation and Completion through Point-Voxel Diffusion.

Linqi Zhou, Yilun Du, Jiajun Wu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Learning Multi-layer Latent Variable Model via Variational Optimization of Short Run MCMC for Approximate Inference.

Erik Nijkamp, Bo Pang, Tian Han, Linqi Zhou, Song-Chun Zhu, Ying Nian Wu

Proceedings of the Computer Vision - ECCV 2020, 2020

Joint Training of Variational Auto-Encoder and Latent Energy-Based Model.

Tian Han, Erik Nijkamp, Linqi Zhou, Bo Pang, Song-Chun Zhu, Ying Nian Wu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Towards Holistic and Automatic Evaluation of Open-Domain Dialogue Generation.

Bo Pang, Erik Nijkamp, Wenjuan Han, Linqi Zhou, Yixian Liu, Kewei Tu

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Learning Deep Generative Models with Short Run Inference Dynamics.

Erik Nijkamp, Bo Pang, Tian Han, Linqi Zhou, Song-Chun Zhu, Ying Nian Wu

CoRR, 2019

Deep Unsupervised Clustering with Clustered Generator Model.

Dandan Zhu, Tian Han, Linqi Zhou, Xiaokang Yang, Ying Nian Wu

CoRR, 2019

Neural Architecture Search for Joint Optimization of Predictive Power and Biological Knowledge.

Zijun Zhang, Linqi Zhou, Liangke Gou, Ying Nian Wu

CoRR, 2019

2015

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

2011

Research on Random Noise Attenuation in Transform Domain.

Qiuqi Ding, Linqi Zhou, Min Tao, Renlong Li

Proceedings of the Second International Conference on Digital Manufacturing and Automation, 2011

2008

The effects of protein interactions, gene essentiality and regulatory regions on expression variation.

Linqi Zhou, Xiaotu Ma, Fengzhu Sun

BMC Syst. Biol., 2008