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ORCIDLinqi Zhou
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2020 – today
- 2024
[c12]Linqi Zhou, Andy Shih, Chenlin Meng, Stefano Ermon:
DreamPropeller: Supercharge Text-to-3D Generation with Parallel Sampling. CVPR 2024: 4610-4619- [c11]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. CVPR 2024: 8228-8238 - [c10]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 - [c9]Linqi Zhou, Aaron Lou, Samar Khanna, Stefano Ermon:
Denoising Diffusion Bridge Models. ICLR 2024 - [i16]Aaditya Prasad, Kevin Lin, Jimmy Wu, Linqi Zhou, Jeannette Bohg:
Consistency Policy: Accelerated Visuomotor Policies via Consistency Distillation. CoRR abs/2405.07503 (2024) - 2023
- [c8]Isaac Kauvar, Chris Doyle, Linqi Zhou, Nick Haber:
Curious Replay for Model-based Adaptation. ICML 2023: 16018-16048 - [c7]Linqi Zhou, Michael Poli, Winnie Xu, Stefano Massaroli, Stefano Ermon:
Deep Latent State Space Models for Time-Series Generation. ICML 2023: 42625-42643 - [i15]Isaac Kauvar, Chris Doyle, Linqi Zhou, Nick Haber:
Curious Replay for Model-based Adaptation. CoRR abs/2306.15934 (2023) - [i14]Linqi Zhou, Aaron Lou, Samar Khanna, Stefano Ermon:
Denoising Diffusion Bridge Models. CoRR abs/2309.16948 (2023) - [i13]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 abs/2310.15928 (2023) - [i12]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 abs/2311.12908 (2023) - [i11]Linqi Zhou, Andy Shih, Chenlin Meng, Stefano Ermon:
DreamPropeller: Supercharge Text-to-3D Generation with Parallel Sampling. CoRR abs/2311.17082 (2023) - [i10]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 abs/2312.03606 (2023) - 2022
- [c6]Chenlin Meng, Linqi Zhou, Kristy Choi, Tri Dao, Stefano Ermon:
ButterflyFlow: Building Invertible Layers with Butterfly Matrices. ICML 2022: 15360-15375 - [i9]Chenlin Meng, Linqi Zhou, Kristy Choi, Tri Dao, Stefano Ermon:
ButterflyFlow: Building Invertible Layers with Butterfly Matrices. CoRR abs/2209.13774 (2022) - [i8]Gimin Nam, Mariem Khlifi, Andrew Rodriguez, Alberto Tono, Linqi Zhou, Paul Guerrero:
3D-LDM: Neural Implicit 3D Shape Generation with Latent Diffusion Models. CoRR abs/2212.00842 (2022) - [i7]Linqi Zhou, Michael Poli, Winnie Xu, Stefano Massaroli, Stefano Ermon:
Deep Latent State Space Models for Time-Series Generation. CoRR abs/2212.12749 (2022) - 2021
- [c5]Linqi Zhou, Yilun Du, Jiajun Wu:
3D Shape Generation and Completion through Point-Voxel Diffusion. ICCV 2021: 5806-5815 - [i6]Linqi Zhou, Yilun Du, Jiajun Wu:
3D Shape Generation and Completion through Point-Voxel Diffusion. CoRR abs/2104.03670 (2021) - [i5]Luyao Yuan, Zipeng Fu, Linqi Zhou, Kexin Yang, Song-Chun Zhu:
Emergence of Theory of Mind Collaboration in Multiagent Systems. CoRR abs/2110.00121 (2021) - 2020
- [c4]Bo Pang, Erik Nijkamp, Wenjuan Han, Linqi Zhou, Yixian Liu, Kewei Tu:
Towards Holistic and Automatic Evaluation of Open-Domain Dialogue Generation. ACL 2020: 3619-3629 - [c3]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: 7975-7984 - [c2]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: 361-378 - [i4]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 abs/2006.06059 (2020)
2010 – 2019
- 2019
- [i3]Zijun Zhang, Linqi Zhou, Liangke Gou, Ying Nian Wu:
Neural Architecture Search for Joint Optimization of Predictive Power and Biological Knowledge. CoRR abs/1909.00337 (2019) - [i2]Dandan Zhu, Tian Han, Linqi Zhou, Xiaokang Yang, Ying Nian Wu:
Deep Unsupervised Clustering with Clustered Generator Model. CoRR abs/1911.08459 (2019) - [i1]Erik Nijkamp, Bo Pang, Tian Han, Linqi Zhou, Song-Chun Zhu, Ying Nian Wu:
Learning Deep Generative Models with Short Run Inference Dynamics. CoRR abs/1912.01909 (2019) - 2015
- [j2]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): 177-182 (2015) - 2011
- [c1]Qiuqi Ding, Linqi Zhou, Min Tao, Renlong Li:
Research on Random Noise Attenuation in Transform Domain. ICDMA 2011: 999-1002
2000 – 2009
- 2008
- [j1]Linqi Zhou, Xiaotu Ma, Fengzhu Sun:
The effects of protein interactions, gene essentiality and regulatory regions on expression variation. BMC Syst. Biol. 2: 54 (2008)
Coauthor Index
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last updated on 2024-10-04 20:03 CEST by the dblp team
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