Ruiqi Gao
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
26
Venues
8
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
26 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | Simpler Diffusion: 1.5 FID on ImageNet512 with Pixel-space Diffusion. | Emiel Hoogeboom, Thomas Mensink, Jonathan Heek, Kay Lamerigts, Ruiqi Gao, Tim Salimans |
| 2025 | CVPR | SimVS: Simulating World Inconsistencies for Robust View Synthesis. | Alex Trevithick, Roni Paiss, Philipp Henzler, Dor Verbin, Rundi Wu, Hadi Alzayer, Ruiqi Gao, Ben Poole, Jonathan T. Barron, Aleksander Holynski, Ravi Ramamoorthi, Pratul P. Srinivasan |
| 2025 | CVPR | CAT4D: Create Anything in 4D with Multi-View Video Diffusion Models. | Rundi Wu, Ruiqi Gao, Ben Poole, Alex Trevithick, Changxi Zheng, Jonathan T. Barron, Aleksander Holynski |
| 2025 | CVPR | SceneCrafter: Controllable Multi-View Driving Scene Editing. | Zehao Zhu, Yuliang Zou, Chiyu Max Jiang, Bo Sun, Vincent Casser, Xiukun Huang, Jiahao Wang, Zhenpei Yang, Ruiqi Gao, Leonidas J. Guibas, Mingxing Tan, Dragomir Anguelov |
| 2025 | ICCV | Bolt3D: Generating 3D Scenes in Seconds. | Stanislaw Szymanowicz, Jason Y. Zhang, Pratul P. Srinivasan, Ruiqi Gao, Arthur Brussee, Aleksander Holynski, Ricardo Martin-Brualla, Jonathan T. Barron, Philipp Henzler |
| 2025 | ICLR | On Conformal Isometry of Grid Cells: Learning Distance-Preserving Position Embedding. | Dehong Xu, Ruiqi Gao, Wenhao Zhang, Xue-Xin Wei, Ying Nian Wu |
| 2024 | CVPR | ReconFusion: 3D Reconstruction with Diffusion Priors. | Rundi Wu, Ben Mildenhall, Philipp Henzler, Keunhong Park, Ruiqi Gao, Daniel Watson, Pratul P. Srinivasan, Dor Verbin, Jonathan T. Barron, Ben Poole, Aleksander Holynski |
| 2024 | ECCV | MagicMirror: Fast and High-Quality Avatar Generation with a Constrained Search Space. | Armand Comas Massague, Di Qiu, Menglei Chai, Marcel C. Bhler, Amit Raj, Ruiqi Gao, Qiangeng Xu, Mark Matthews, Paulo F. U. Gotardo, Sergio Orts-Escolano, Thabo Beeler |
| 2024 | EMNLP | Large Language Models are Limited in Out-of-Context Knowledge Reasoning. | Peng Hu, Changjiang Gao, Ruiqi Gao, Jiajun Chen, Shujian Huang |
| 2024 | ICLR | Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood. | Yaxuan Zhu, Jianwen Xie, Ying Nian Wu, Ruiqi Gao |
| 2023 | CVPR | On Distillation of Guided Diffusion Models. | Chenlin Meng, Robin Rombach, Ruiqi Gao, Diederik P. Kingma, Stefano Ermon, Jonathan Ho, Tim Salimans |
| 2023 | ICSE | Compiling Parallel Symbolic Execution with Continuations. | Guannan Wei, Songlin Jia, Ruiqi Gao, Haotian Deng, Shangyin Tan, Oliver Bracevac, Tiark Rompf |
| 2022 | AAAI | Learning V1 Simple Cells with Vector Representation of Local Content and Matrix Representation of Local Motion. | Ruiqi Gao, Jianwen Xie, Siyuan Huang, Yufan Ren, Song-Chun Zhu, Ying Nian Wu |
| 2022 | ICLR | MCMC Should Mix: Learning Energy-Based Model with Neural Transport Latent Space MCMC. | Erik Nijkamp, Ruiqi Gao, Pavel Sountsov, Srinivas Vasudevan, Bo Pang, Song-Chun Zhu, Ying Nian Wu |
| 2022 | ICML | Latent Diffusion Energy-Based Model for Interpretable Text Modelling. | Peiyu Yu, Sirui Xie, Xiaojian Ma, Baoxiong Jia, Bo Pang, Ruiqi Gao, Yixin Zhu, Song-Chun Zhu, Ying Nian Wu |
| 2021 | CVPR | Learning Neural Representation of Camera Pose with Matrix Representation of Pose Shift via View Synthesis. | Yaxuan Zhu, Ruiqi Gao, Siyuan Huang, Song-Chun Zhu, Ying Nian Wu |
| 2021 | ICLR | Learning Energy-Based Models by Diffusion Recovery Likelihood. | Ruiqi Gao, Yang Song, Ben Poole, Ying Nian Wu, Diederik P. Kingma |
| 2021 | ICML | A Theory of Label Propagation for Subpopulation Shift. | Tianle Cai, Ruiqi Gao, Jason D. Lee, Qi Lei |
| 2020 | AAAI | Motion-Based Generator Model: Unsupervised Disentanglement of Appearance, Trackable and Intrackable Motions in Dynamic Patterns. | Jianwen Xie, Ruiqi Gao, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu |
| 2020 | CVPR | Flow Contrastive Estimation of Energy-Based Models. | Ruiqi Gao, Erik Nijkamp, Diederik P. Kingma, Zhen Xu, Andrew M. Dai, Ying Nian Wu |
| 2019 | AAAI | Learning Dynamic Generator Model by Alternating Back-Propagation through Time. | Jianwen Xie, Ruiqi Gao, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu |
| 2019 | CVPR | Unsupervised Disentangling of Appearance and Geometry by Deformable Generator Network. | Xianglei Xing, Tian Han, Ruiqi Gao, Song-Chun Zhu, Ying Nian Wu |
| 2019 | ICLR | Learning Grid Cells as Vector Representation of Self-Position Coupled with Matrix Representation of Self-Motion. | Ruiqi Gao, Jianwen Xie, Song-Chun Zhu, Ying Nian Wu |
| 2018 | AAAI | Cooperative Learning of Energy-Based Model and Latent Variable Model via MCMC Teaching. | Jianwen Xie, Yang Lu, Ruiqi Gao, Ying Nian Wu |
| 2018 | CVPR | Learning Generative ConvNets via Multi-Grid Modeling and Sampling. | Ruiqi Gao, Yang Lu, Junpei Zhou, Song-Chun Zhu, Ying Nian Wu |
| 2018 | CVPR | Learning Descriptor Networks for 3D Shape Synthesis and Analysis. | Jianwen Xie, Zilong Zheng, Ruiqi Gao, Wenguan Wang, Song-Chun Zhu, Ying Nian Wu |