Ruiqi Gao - RankMe

86 papers A* 30Journal 48Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ZipMap: Linear-Time Stateful 3D Reconstruction via Test-Time Training. CoRR Haian Jin, Rundi Wu, Tianyuan Zhang, Ruiqi Gao, Jonathan T. Barron, Noah Snavely, Aleksander Holynski
2025	J	`jnl`	Bolt3D: Generating 3D Scenes in Seconds. CoRR Stanislaw Szymanowicz, Jason Y. Zhang, Pratul P. Srinivasan, Ruiqi Gao, Arthur Brussee, Aleksander Holynski, Ricardo Martin-Brualla, Jonathan T. Barron, Philipp Henzler
2025	A*	`conf`	CAT4D: Create Anything in 4D with Multi-View Video Diffusion Models. CVPR Rundi Wu, Ruiqi Gao, Ben Poole, Alex Trevithick, Changxi Zheng, Jonathan T. Barron, Aleksander Holynski
2025	—	`conf`	EEG Channel Selection Algorithm Based on Attention Mechanism for Emotion Recognition. BIBM Yifan Bai, Liying Yang, Ruiqi Gao, Qiang Wang, Jiayun Song, Kai Yao
2025	A*	`conf`	On Conformal Isometry of Grid Cells: Learning Distance-Preserving Position Embedding. ICLR Dehong Xu, Ruiqi Gao, Wenhao Zhang, Xue-Xin Wei, Ying Nian Wu
2025	A*	`conf`	SceneCrafter: Controllable Multi-View Driving Scene Editing. CVPR 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	J	`jnl`	SceneCrafter: Controllable Multi-View Driving Scene Editing. CoRR 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	A*	`conf`	SimVS: Simulating World Inconsistencies for Robust View Synthesis. CVPR 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	A*	`conf`	Simpler Diffusion: 1.5 FID on ImageNet512 with Pixel-space Diffusion. CVPR Emiel Hoogeboom, Thomas Mensink, Jonathan Heek, Kay Lamerigts, Ruiqi Gao, Tim Salimans
2025	J	`jnl`	VLIC: Vision-Language Models As Perceptual Judges for Human-Aligned Image Compression. CoRR Kyle Sargent, Ruiqi Gao, Philipp Henzler, Charles Herrmann, Aleksander Holynski, Li Fei-Fei, Jiajun Wu, Jason Y. Zhang
2024	J	`jnl`	An Investigation of Conformal Isometry Hypothesis for Grid Cells. CoRR Dehong Xu, Ruiqi Gao, Wenhao Zhang, Xue-Xin Wei, Ying Nian Wu
2024	A*	`conf`	CAT3D: Create Anything in 3D with Multi-View Diffusion Models. NeurIPS Ruiqi Gao, Aleksander Holynski, Philipp Henzler, Arthur Brussee, Ricardo Martin-Brualla, Pratul P. Srinivasan, Jonathan T. Barron, Ben Poole
2024	J	`jnl`	CAT3D: Create Anything in 3D with Multi-View Diffusion Models. CoRR Ruiqi Gao, Aleksander Holynski, Philipp Henzler, Arthur Brussee, Ricardo Martin-Brualla, Pratul P. Srinivasan, Jonathan T. Barron, Ben Poole
2024	J	`jnl`	CAT4D: Create Anything in 4D with Multi-View Video Diffusion Models. CoRR Rundi Wu, Ruiqi Gao, Ben Poole, Alex Trevithick, Changxi Zheng, Jonathan T. Barron, Aleksander Holynski
2024	J	`jnl`	CoLay: Controllable Layout Generation through Multi-conditional Latent Diffusion. CoRR Chin-Yi Cheng, Ruiqi Gao, Forrest Huang, Yang Li
2024	A*	`conf`	EM Distillation for One-step Diffusion Models. NeurIPS Sirui Xie, Zhisheng Xiao, Diederik P. Kingma, Tingbo Hou, Ying Nian Wu, Kevin P. Murphy, Tim Salimans, Ben Poole, Ruiqi Gao
2024	J	`jnl`	EM Distillation for One-step Diffusion Models. CoRR Sirui Xie, Zhisheng Xiao, Diederik P. Kingma, Tingbo Hou, Ying Nian Wu, Kevin Patrick Murphy, Tim Salimans, Ben Poole, Ruiqi Gao
2024	A*	`conf`	Generative Hierarchical Materials Search. NeurIPS Sherry Yang, Simon L. Batzner, Ruiqi Gao, Muratahan Aykol, Alexander L. Gaunt, Brendan McMorrow, Danilo Jimenez Rezende, Dale Schuurmans, Igor Mordatch, Ekin Dogus Cubuk
2024	J	`jnl`	Generative Hierarchical Materials Search. CoRR Sherry Yang, Simon L. Batzner, Ruiqi Gao, Muratahan Aykol, Alexander L. Gaunt, Brendan McMorrow, Danilo J. Rezende, Dale Schuurmans, Igor Mordatch, Ekin D. Cubuk
2024	—	`conf`	Large Language Models are Limited in Out-of-Context Knowledge Reasoning. EMNLP (Findings) Peng Hu, Changjiang Gao, Ruiqi Gao, Jiajun Chen, Shujian Huang
2024	J	`jnl`	Latent Energy-Based Odyssey: Black-Box Optimization via Expanded Exploration in the Energy-Based Latent Space. CoRR Peiyu Yu, Dinghuai Zhang, Hengzhi He, Xiaojian Ma, Ruiyao Miao, Yifan Lu, Yasi Zhang, Deqian Kong, Ruiqi Gao, Jianwen Xie, Guang Cheng, Ying Nian Wu
2024	A*	`conf`	Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood. ICLR Yaxuan Zhu, Jianwen Xie, Ying Nian Wu, Ruiqi Gao
2024	J	`jnl`	Limited Out-of-Context Knowledge Reasoning in Large Language Models. CoRR Peng Hu, Changjiang Gao, Ruiqi Gao, Jiajun Chen, Shujian Huang
2024	—	`conf`	MagicMirror: Fast and High-Quality Avatar Generation with a Constrained Search Space. ECCV (66) Armand Comas Massague, Di Qiu, Menglei Chai, Marcel C. Bühler, Amit Raj, Ruiqi Gao, Qiangeng Xu, Mark Matthews, Paulo F. U. Gotardo, Sergio Orts-Escolano, Thabo Beeler
2024	J	`jnl`	MagicMirror: Fast and High-Quality Avatar Generation with a Constrained Search Space. CoRR Armand Comas Massague, Di Qiu, Menglei Chai, Marcel C. Bühler, Amit Raj, Ruiqi Gao, Qiangeng Xu, Mark Matthews, Paulo F. U. Gotardo, Octavia I. Camps, Sergio Orts-Escolano, Thabo Beeler
2024	A*	`conf`	ReconFusion: 3D Reconstruction with Diffusion Priors. CVPR 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	J	`jnl`	SimVS: Simulating World Inconsistencies for Robust View Synthesis. CoRR 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
2024	J	`jnl`	Simpler Diffusion (SiD2): 1.5 FID on ImageNet512 with pixel-space diffusion. CoRR Emiel Hoogeboom, Thomas Mensink, Jonathan Heek, Kay Lamerigts, Ruiqi Gao, Tim Salimans
2024	J	`jnl`	Think Twice Before You Act: Improving Inverse Problem Solving With MCMC. CoRR Yaxuan Zhu, Zehao Dou, Haoxin Zheng, Yasi Zhang, Ying Nian Wu, Ruiqi Gao
2023	A*	`conf`	Compiling Parallel Symbolic Execution with Continuations. ICSE Guannan Wei, Songlin Jia, Ruiqi Gao, Haotian Deng, Shangyin Tan, Oliver Bracevac, Tiark Rompf
2023	J	`jnl`	Conformal Normalization in Recurrent Neural Network of Grid Cells. CoRR Dehong Xu, Ruiqi Gao, Wenhao Zhang, Xue-Xin Wei, Ying Nian Wu
2023	J	`jnl`	Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood. CoRR Yaxuan Zhu, Jianwen Xie, Yingnian Wu, Ruiqi Gao
2023	A*	`conf`	Learning Energy-Based Prior Model with Diffusion-Amortized MCMC. NeurIPS Peiyu Yu, Yaxuan Zhu, Sirui Xie, Xiaojian Ma, Ruiqi Gao, Song-Chun Zhu, Ying Nian Wu
2023	J	`jnl`	Learning Energy-Based Prior Model with Diffusion-Amortized MCMC. CoRR Peiyu Yu, Yaxuan Zhu, Sirui Xie, Xiaojian Ma, Ruiqi Gao, Song-Chun Zhu, Ying Nian Wu
2023	A*	`conf`	On Distillation of Guided Diffusion Models. CVPR Chenlin Meng, Robin Rombach, Ruiqi Gao, Diederik P. Kingma, Stefano Ermon, Jonathan Ho, Tim Salimans
2023	J	`jnl`	ReconFusion: 3D Reconstruction with Diffusion Priors. CoRR Rundi Wu, Ben Mildenhall, Philipp Henzler, Keunhong Park, Ruiqi Gao, Daniel Watson, Pratul P. Srinivasan, Dor Verbin, Jonathan T. Barron, Ben Poole, Aleksander Holynski
2023	A*	`conf`	Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation. NeurIPS Diederik P. Kingma, Ruiqi Gao
2023	J	`jnl`	Understanding the Diffusion Objective as a Weighted Integral of ELBOs. CoRR Diederik P. Kingma, Ruiqi Gao
2023	—	`conf`	Weightings in Incremental ADCs: A Tutorial Review. CICC Ruiqi Gao, Mingqiang Guo, Sai-Weng Sin, Liang Qi, Biao Wang, Guoxing Wang, Rui Paulo Martins
2022	—	`conf`	Conformal Isometry of Lie Group Representation in Recurrent Network of Grid Cells. NeurReps Dehong Xu, Ruiqi Gao, Wenhao Zhang, Xue-Xin Wei, Ying Nian Wu
2022	J	`jnl`	Conformal Isometry of Lie Group Representation in Recurrent Network of Grid Cells. CoRR Dehong Xu, Ruiqi Gao, Wenhao Zhang, Xue-Xin Wei, Ying Nian Wu
2022	J	`jnl`	Deformable Generator Networks: Unsupervised Disentanglement of Appearance and Geometry. IEEE Trans. Pattern Anal. Mach. Intell. Xianglei Xing, Ruiqi Gao, Tian Han, Song-Chun Zhu, Ying Nian Wu
2022	J	`jnl`	Generative VoxelNet: Learning Energy-Based Models for 3D Shape Synthesis and Analysis. IEEE Trans. Pattern Anal. Mach. Intell. Jianwen Xie, Zilong Zheng, Ruiqi Gao, Wenguan Wang, Song-Chun Zhu, Ying Nian Wu
2022	J	`jnl`	Imagen Video: High Definition Video Generation with Diffusion Models. CoRR Jonathan Ho, William Chan, Chitwan Saharia, Jay Whang, Ruiqi Gao, Alexey A. Gritsenko, Diederik P. Kingma, Ben Poole, Mohammad Norouzi, David J. Fleet, Tim Salimans
2022	J	`jnl`	Latent Diffusion Energy-Based Model for Interpretable Text Modeling. CoRR Peiyu Yu, Sirui Xie, Xiaojian Ma, Baoxiong Jia, Bo Pang, Ruiqi Gao, Yixin Zhu, Song-Chun Zhu, Ying Nian Wu
2022	A*	`conf`	Latent Diffusion Energy-Based Model for Interpretable Text Modelling. ICML Peiyu Yu, Sirui Xie, Xiaojian Ma, Baoxiong Jia, Bo Pang, Ruiqi Gao, Yixin Zhu, Song-Chun Zhu, Ying Nian Wu
2022	A*	`conf`	Learning V1 Simple Cells with Vector Representation of Local Content and Matrix Representation of Local Motion. AAAI Ruiqi Gao, Jianwen Xie, Siyuan Huang, Yufan Ren, Song-Chun Zhu, Ying Nian Wu
2022	A*	`conf`	MCMC Should Mix: Learning Energy-Based Model with Neural Transport Latent Space MCMC. ICLR Erik Nijkamp, Ruiqi Gao, Pavel Sountsov, Srinivas Vasudevan, Bo Pang, Song-Chun Zhu, Ying Nian Wu
2022	J	`jnl`	On Distillation of Guided Diffusion Models. CoRR Chenlin Meng, Ruiqi Gao, Diederik P. Kingma, Stefano Ermon, Jonathan Ho, Tim Salimans
2021	A*	`conf`	A Theory of Label Propagation for Subpopulation Shift. ICML Tianle Cai, Ruiqi Gao, Jason D. Lee, Qi Lei
2021	J	`jnl`	A Theory of Label Propagation for Subpopulation Shift. CoRR Tianle Cai, Ruiqi Gao, Jason D. Lee, Qi Lei
2021	—	`—`	Effective Learning of Descriptive and Generator Models and Learning Representations for Grid Cells and V1 Cells. Ruiqi Gao
2021	A*	`conf`	Learning Energy-Based Models by Diffusion Recovery Likelihood. ICLR Ruiqi Gao, Yang Song, Ben Poole, Ying Nian Wu, Diederik P. Kingma
2021	A*	`conf`	Learning Neural Representation of Camera Pose with Matrix Representation of Pose Shift via View Synthesis. CVPR Yaxuan Zhu, Ruiqi Gao, Siyuan Huang, Song-Chun Zhu, Ying Nian Wu
2021	J	`jnl`	Learning Neural Representation of Camera Pose with Matrix Representation of Pose Shift via View Synthesis. CoRR Yaxuan Zhu, Ruiqi Gao, Siyuan Huang, Song-Chun Zhu, Yingnian Wu
2021	A*	`conf`	On Path Integration of Grid Cells: Group Representation and Isotropic Scaling. NeurIPS Ruiqi Gao, Jianwen Xie, Xue-Xin Wei, Song-Chun Zhu, Ying Nian Wu
2020	J	`jnl`	A Representational Model of Grid Cells Based on Matrix Lie Algebras. CoRR Ruiqi Gao, Jianwen Xie, Song-Chun Zhu, Ying Nian Wu
2020	J	`jnl`	Cooperative Training of Descriptor and Generator Networks. IEEE Trans. Pattern Anal. Mach. Intell. Jianwen Xie, Yang Lu, Ruiqi Gao, Song-Chun Zhu, Ying Nian Wu
2020	A*	`conf`	Flow Contrastive Estimation of Energy-Based Models. CVPR Ruiqi Gao, Erik Nijkamp, Diederik P. Kingma, Zhen Xu, Andrew M. Dai, Ying Nian Wu
2020	J	`jnl`	Generative VoxelNet: Learning Energy-Based Models for 3D Shape Synthesis and Analysis. CoRR Jianwen Xie, Zilong Zheng, Ruiqi Gao, Wenguan Wang, Song-Chun Zhu, Ying Nian Wu
2020	J	`jnl`	Learning Energy-Based Models by Diffusion Recovery Likelihood. CoRR Ruiqi Gao, Yang Song, Ben Poole, Ying Nian Wu, Diederik P. Kingma
2020	J	`jnl`	Learning Energy-based Model with Flow-based Backbone by Neural Transport MCMC. CoRR Erik Nijkamp, Ruiqi Gao, Pavel Sountsov, Srinivas Vasudevan, Bo Pang, Song-Chun Zhu, Ying Nian Wu
2020	A*	`conf`	Motion-Based Generator Model: Unsupervised Disentanglement of Appearance, Trackable and Intrackable Motions in Dynamic Patterns. AAAI Jianwen Xie, Ruiqi Gao, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu
2020	A*	`conf`	Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot. NeurIPS Jingtong Su, Yihang Chen, Tianle Cai, Tianhao Wu, Ruiqi Gao, Liwei Wang, Jason D. Lee
2020	J	`jnl`	Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot. CoRR Jingtong Su, Yihang Chen, Tianle Cai, Tianhao Wu, Ruiqi Gao, Liwei Wang, Jason D. Lee
2019	J	`jnl`	A Gram-Gauss-Newton Method Learning Overparameterized Deep Neural Networks for Regression Problems. CoRR Tianle Cai, Ruiqi Gao, Jikai Hou, Siyu Chen, Dong Wang, Di He, Zhihua Zhang, Liwei Wang
2019	J	`jnl`	Convergence of Adversarial Training in Overparametrized Networks. CoRR Ruiqi Gao, Tianle Cai, Haochuan Li, Liwei Wang, Cho-Jui Hsieh, Jason D. Lee
2019	A*	`conf`	Convergence of Adversarial Training in Overparametrized Neural Networks. NeurIPS Ruiqi Gao, Tianle Cai, Haochuan Li, Cho-Jui Hsieh, Liwei Wang, Jason D. Lee
2019	J	`jnl`	Flow Contrastive Estimation of Energy-Based Models. CoRR Ruiqi Gao, Erik Nijkamp, Diederik P. Kingma, Zhen Xu, Andrew M. Dai, Ying Nian Wu
2019	A*	`conf`	Learning Dynamic Generator Model by Alternating Back-Propagation through Time. AAAI Jianwen Xie, Ruiqi Gao, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu
2019	—	`conf`	Learning Grid Cells as Vector Representation of Self-Position Coupled with Matrix Representation of Self-Motion. ICLR (Poster) Ruiqi Gao, Jianwen Xie, Song-Chun Zhu, Ying Nian Wu
2019	J	`jnl`	Learning Vector Representation of Content and Matrix Representation of Change: Towards a Representational Model of V1. CoRR Ruiqi Gao, Jianwen Xie, Song-Chun Zhu, Ying Nian Wu
2019	J	`jnl`	Motion-Based Generator Model: Unsupervised Disentanglement of Appearance, Trackable and Intrackable Motions in Dynamic Patterns. CoRR Jianwen Xie, Ruiqi Gao, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu
2019	—	`conf`	Multimodal 3D Convolutional Neural Networks for Classification of Brain Disease Using Structural MR and FDG-PET Images. ICPCSEE (1) Kun Han, Haiwei Pan, Ruiqi Gao, Jieyao Yu, Bin Yang
2019	J	`jnl`	Representation Learning: A Statistical Perspective. CoRR Jianwen Xie, Ruiqi Gao, Erik Nijkamp, Song-Chun Zhu, Ying Nian Wu
2019	A*	`conf`	Unsupervised Disentangling of Appearance and Geometry by Deformable Generator Network. CVPR Xianglei Xing, Tian Han, Ruiqi Gao, Song-Chun Zhu, Ying Nian Wu
2018	J	`jnl`	A Tale of Three Probabilistic Families: Discriminative, Descriptive and Generative Models. CoRR Ying Nian Wu, Ruiqi Gao, Tian Han, Song-Chun Zhu
2018	A*	`conf`	Cooperative Learning of Energy-Based Model and Latent Variable Model via MCMC Teaching. AAAI Jianwen Xie, Yang Lu, Ruiqi Gao, Ying Nian Wu
2018	J	`jnl`	Deformable Generator Network: Unsupervised Disentanglement of Appearance and Geometry. CoRR Xianglei Xing, Ruiqi Gao, Tian Han, Song-Chun Zhu, Ying Nian Wu
2018	A*	`conf`	Learning Descriptor Networks for 3D Shape Synthesis and Analysis. CVPR Jianwen Xie, Zilong Zheng, Ruiqi Gao, Wenguan Wang, Song-Chun Zhu, Ying Nian Wu
2018	J	`jnl`	Learning Descriptor Networks for 3D Shape Synthesis and Analysis. CoRR Jianwen Xie, Zilong Zheng, Ruiqi Gao, Wenguan Wang, Song-Chun Zhu, Ying Nian Wu
2018	J	`jnl`	Learning Dynamic Generator Model by Alternating Back-Propagation Through Time. CoRR Jianwen Xie, Ruiqi Gao, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu
2018	A*	`conf`	Learning Generative ConvNets via Multi-Grid Modeling and Sampling. CVPR Ruiqi Gao, Yang Lu, Junpei Zhou, Song-Chun Zhu, Ying Nian Wu
2018	J	`jnl`	Learning Grid-like Units with Vector Representation of Self-Position and Matrix Representation of Self-Motion. CoRR Ruiqi Gao, Jianwen Xie, Song-Chun Zhu, Ying Nian Wu
2017	J	`jnl`	Automatic schizophrenic discrimination on fNIRS by using complex brain network analysis and SVM. BMC Medical Informatics Decis. Mak. Hong Song, Lei Chen, Ruiqi Gao, Iordachescu Ilie Mihaita Bogdan, Jian Yang, Shuliang Wang, Wentian Dong, Wenxiang Quan, Weimin Dang, Xin Yu
2017	J	`jnl`	Learning Multi-grid Generative ConvNets by Minimal Contrastive Divergence. CoRR Ruiqi Gao, Yang Lu, Junpei Zhou, Song-Chun Zhu, Ying Nian Wu