Linqi Zhou
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
14
Venues
7
Active years
2020–2025
Best venue rank
A*
Where they publish
Papers
14 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | Personalized Preference Fine-tuning of Diffusion Models. | Meihua Dang, Anikait Singh, Linqi Zhou, Stefano Ermon, Jiaming Song |
| 2025 | ICML | Inductive Moment Matching. | Linqi Zhou, Stefano Ermon, Jiaming Song |
| 2024 | CVPR | 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 |
| 2024 | CVPR | DreamPropeller: Supercharge Text-to-3D Generation with Parallel Sampling. | Linqi Zhou, Andy Shih, Chenlin Meng, Stefano Ermon |
| 2024 | ICLR | 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 |
| 2024 | ICLR | Denoising Diffusion Bridge Models. | Linqi Zhou, Aaron Lou, Samar Khanna, Stefano Ermon |
| 2024 | IROS | AO-Grasp: Articulated Object Grasp Generation. | Carlota Pars-Morlans, Claire Chen, Yijia Weng, Michelle Yi, Yuying Huang, Nick Heppert, Linqi Zhou, Leonidas J. Guibas, Jeannette Bohg |
| 2023 | ICML | Curious Replay for Model-based Adaptation. | Isaac Kauvar, Chris Doyle, Linqi Zhou, Nick Haber |
| 2023 | ICML | Deep Latent State Space Models for Time-Series Generation. | Linqi Zhou, Michael Poli, Winnie Xu, Stefano Massaroli, Stefano Ermon |
| 2022 | ICML | ButterflyFlow: Building Invertible Layers with Butterfly Matrices. | Chenlin Meng, Linqi Zhou, Kristy Choi, Tri Dao, Stefano Ermon |
| 2021 | ICCV | 3D Shape Generation and Completion through Point-Voxel Diffusion. | Linqi Zhou, Yilun Du, Jiajun Wu |
| 2020 | ACL | Towards Holistic and Automatic Evaluation of Open-Domain Dialogue Generation. | Bo Pang, Erik Nijkamp, Wenjuan Han, Linqi Zhou, Yixian Liu, Kewei Tu |
| 2020 | CVPR | 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 |
| 2020 | ECCV | 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 |