Dai, Bo

207 publications

TMLR 2026 Beyond Expectations: Learning with Stochastic Dominance Made Practical Shicong Cen, Jincheng Mei, Hanjun Dai, Dale Schuurmans, Yuejie Chi, Bo Dai

NeurIPS 2025 AmorLIP: Efficient Language-Image Pretraining via Amortization Haotian Sun, Yitong Li, Yuchen Zhuang, Niao He, Hanjun Dai, Bo Dai

NeurIPS 2025 An Analysis of Causal Effect Estimation Using Outcome Invariant Data Augmentation Uzair Akbar, Niki Kilbertus, Hao Shen, Krikamol Muandet, Bo Dai

ICLR 2025 CameraCtrl: Enabling Camera Control for Video Diffusion Models Hao He, Yinghao Xu, Yuwei Guo, Gordon Wetzstein, Bo Dai, Hongsheng Li, Ceyuan Yang

UAI 2025 DF$^2$: Distribution-Free Decision-Focused Learning Lingkai Kong, Wenhao Mu, Jiaming Cui, Yuchen Zhuang, B. Aditya Prakash, Bo Dai, Chao Zhang

CVPR 2025 DRiVE: Diffusion-Based Rigging Empowers Generation of Versatile and Expressive Characters Mingze Sun, Junhao Chen, Junting Dong, Yurun Chen, Xinyu Jiang, Shiwei Mao, Puhua Jiang, Jingbo Wang, Bo Dai, Ruqi Huang

NeurIPS 2025 Direct Numerical Layout Generation for 3D Indoor Scene Synthesis via Spatial Reasoning Xingjian Ran, Yixuan Li, Linning Xu, Mulin Yu, Bo Dai

ICLR 2025 EC-DIT: Scaling Diffusion Transformers with Adaptive Expert-Choice Routing Haotian Sun, Tao Lei, Bowen Zhang, Yanghao Li, Haoshuo Huang, Ruoming Pang, Bo Dai, Nan Du

CVPR 2025 EdgeTAM: On-Device Track Anything Model Chong Zhou, Chenchen Zhu, Yunyang Xiong, Saksham Suri, Fanyi Xiao, Lemeng Wu, Raghuraman Krishnamoorthi, Bo Dai, Chen Change Loy, Vikas Chandra, Bilge Soran

L4DC 2025 Efficient Duple Perturbation Robustness in Low-Rank MDPs Yang Hu, Haitong Ma, Na Li, Bo Dai

ICML 2025 Efficient Online Reinforcement Learning for Diffusion Policy Haitong Ma, Tianyi Chen, Kai Wang, Na Li, Bo Dai

NeurIPS 2025 Exploration from a Primal-Dual Lens: Value-Incentivized Actor-Critic Methods for Sample-Efficient Online RL Tong Yang, Bo Dai, Lin Xiao, Yuejie Chi

AISTATS 2025 Faster WIND: Accelerating Iterative Best-of-$n$ Distillation for LLM Alignment Tong Yang, Jincheng Mei, Hanjun Dai, Zixin Wen, Shicong Cen, Dale Schuurmans, Yuejie Chi, Bo Dai

CVPR 2025 FlashGS: Efficient 3D Gaussian Splatting for Large-Scale and High-Resolution Rendering Guofeng Feng, Siyan Chen, Rong Fu, Zimu Liao, Yi Wang, Tao Liu, Boni Hu, Linning Xu, Zhilin Pei, Hengjie Li, Xiuhong Li, Ninghui Sun, Xingcheng Zhang, Bo Dai

ICCV 2025 GAS: Generative Avatar Synthesis from a Single Image Yixing Lu, Junting Dong, Youngjoong Kwon, Qin Zhao, Bo Dai, Fernando De la Torre

ICCV 2025 GausSim: Foreseeing Reality by Gaussian Simulator for Elastic Objects Yidi Shao, Mu Huang, Chen Change Loy, Bo Dai

ICLR 2025 GaussianAnything: Interactive Point Cloud Flow Matching for 3D Generation Yushi Lan, Shangchen Zhou, Zhaoyang Lyu, Fangzhou Hong, Shuai Yang, Bo Dai, Xingang Pan, Chen Change Loy

CVPR 2025 Horizon-GS: Unified 3D Gaussian Splatting for Large-Scale Aerial-to-Ground Scenes Lihan Jiang, Kerui Ren, Mulin Yu, Linning Xu, Junting Dong, Tao Lu, Feng Zhao, Dahua Lin, Bo Dai

ICML 2025 Incentivize Without Bonus: Provably Efficient Model-Based Online Multi-Agent RL for Markov Games Tong Yang, Bo Dai, Lin Xiao, Yuejie Chi

ICLR 2025 Inference-Aware Fine-Tuning for Best-of-N Sampling in Large Language Models Yinlam Chow, Guy Tennenholtz, Izzeddin Gur, Vincent Zhuang, Bo Dai, Aviral Kumar, Rishabh Agarwal, Sridhar Thiagarajan, Craig Boutilier, Aleksandra Faust

NeurIPS 2025 InternScenes: A Large-Scale Simulatable Indoor Scene Dataset with Realistic Layouts Weipeng Zhong, Peizhou Cao, Yichen Jin, Luo Li, Wenzhe Cai, Jingli Lin, Hanqing Wang, Zhaoyang Lyu, Tai Wang, Xudong Xu, Bo Dai, Jiangmiao Pang

CVPR 2025 Keyframe-Guided Creative Video Inpainting Yuwei Guo, Ceyuan Yang, Anyi Rao, Chenlin Meng, Omer Bar-Tal, Shuangrui Ding, Maneesh Agrawala, Dahua Lin, Bo Dai

NeurIPS 2025 MLE-Dojo: Interactive Environments for Empowering LLM Agents in Machine Learning Engineering Rushi Qiang, Yuchen Zhuang, Yinghao Li, V K Dingu Sagar, Rongzhi Zhang, ChangHao Li, Ian Shu-Hei Wong, Sherry Yang, Percy Liang, Chao Zhang, Bo Dai

NeurIPS 2025 MV-CoLight: Efficient Object Compositing with Consistent Lighting and Shadow Generation Kerui Ren, Jiayang Bai, Linning Xu, Lihan Jiang, Jiangmiao Pang, Mulin Yu, Bo Dai

NeurIPS 2025 Matryoshka Pilot: Learning to Drive Black-Box LLMs with LLMs ChangHao Li, Yuchen Zhuang, Rushi Qiang, Haotian Sun, Hanjun Dai, Chao Zhang, Bo Dai

NeurIPS 2025 MeshCoder: LLM-Powered Structured Mesh Code Generation from Point Clouds BingQuan Dai, Luo Li, Qihong Tang, Jie Wang, Xinyu Lian, Hao Xu, Minghan Qin, Xudong Xu, Bo Dai, Haoqian Wang, Zhaoyang Lyu, Jiangmiao Pang

ICCV 2025 Multi-Identity Human Image Animation with Structural Video Diffusion Zhenzhi Wang, Yixuan Li, Yanhong Zeng, Yuwei Guo, Dahua Lin, Tianfan Xue, Bo Dai

ICCV 2025 ObjectGS: Object-Aware Scene Reconstruction and Scene Understanding via Gaussian Splatting Ruijie Zhu, Mulin Yu, Linning Xu, Lihan Jiang, Yixuan Li, Tianzhu Zhang, Jiangmiao Pang, Bo Dai

AISTATS 2025 Primal-Dual Spectral Representation for Off-Policy Evaluation Yang Hu, Tianyi Chen, Na Li, Kai Wang, Bo Dai

CVPRW 2025 Proc-GS: Procedural Building Generation for City Assembly with 3D Gaussians Yixuan Li, Xingjian Ran, Linning Xu, Tao Lu, Mulin Yu, Zhenzhi Wang, Yuanbo Xiangli, Dahua Lin, Bo Dai

NeurIPS 2025 REINFORCE Converges to Optimal Policies with Any Learning Rate Samuel McLaughlin Robertson, Thang D. Chu, Bo Dai, Dale Schuurmans, Csaba Szepesvari, Jincheng Mei

CVPR 2025 ScaMo: Exploring the Scaling Law in Autoregressive Motion Generation Model Shunlin Lu, Jingbo Wang, Zeyu Lu, Ling-Hao Chen, Wenxun Dai, Junting Dong, Zhiyang Dou, Bo Dai, Ruimao Zhang

AISTATS 2025 Scalable Spectral Representations for Multiagent Reinforcement Learning in Network MDPs Zhaolin Ren, Runyu Zhang, Bo Dai, Na Li

AISTATS 2025 Spectral Representation for Causal Estimation with Hidden Confounders Haotian Sun, Antoine Moulin, Tongzheng Ren, Arthur Gretton, Bo Dai

CVPR 2025 TokenHSI: Unified Synthesis of Physical Human-Scene Interactions Through Task Tokenization Liang Pan, Zeshi Yang, Zhiyang Dou, Wenjia Wang, Buzhen Huang, Bo Dai, Taku Komura, Jingbo Wang

ICLR 2025 Value-Incentivized Preference Optimization: A Unified Approach to Online and Offline RLHF Shicong Cen, Jincheng Mei, Katayoon Goshvadi, Hanjun Dai, Tong Yang, Sherry Yang, Dale Schuurmans, Yuejie Chi, Bo Dai

NeurIPS 2025 Vision Transformers with Self-Distilled Registers Zipeng Yan, Yinjie Chen, Chong Zhou, Bo Dai, Andrew Luo

ICLR 2024 AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models Without Specific Tuning Yuwei Guo, Ceyuan Yang, Anyi Rao, Zhengyang Liang, Yaohui Wang, Yu Qiao, Maneesh Agrawala, Dahua Lin, Bo Dai

ICML 2024 BBox-Adapter: Lightweight Adapting for Black-Box Large Language Models Haotian Sun, Yuchen Zhuang, Wei Wei, Chao Zhang, Bo Dai

CVPR 2024 BerfScene: Bev-Conditioned Equivariant Radiance Fields for Infinite 3D Scene Generation Qihang Zhang, Yinghao Xu, Yujun Shen, Bo Dai, Bolei Zhou, Ceyuan Yang

CVPR 2024 Cinematic Behavior Transfer via NeRF-Based Differentiable Filming Xuekun Jiang, Anyi Rao, Jingbo Wang, Dahua Lin, Bo Dai

ECCV 2024 DiffBIR: Toward Blind Image Restoration with Generative Diffusion Prior Xinqi Lin, Jingwen He, Ziyan Chen, Zhaoyang Lyu, Bo Dai, Fanghua Yu, Yu Qiao, Wanli Ouyang, Chao Dong

CVPR 2024 DiffMorpher: Unleashing the Capability of Diffusion Models for Image Morphing Kaiwen Zhang, Yifan Zhou, Xudong Xu, Bo Dai, Xingang Pan

NeurIPS 2024 Diffusion Spectral Representation for Reinforcement Learning Dmitry Shribak, Chen-Xiao Gao, Yitong Li, Chenjun Xiao, Bo Dai

NeurIPS 2024 Director3D: Real-World Camera Trajectory and 3D Scene Generation from Text Xinyang Li, Zhangyu Lai, Linning Xu, Yansong Qu, Liujuan Cao, Shengchuan Zhang, Bo Dai, Rongrong Ji

CVPR 2024 EpiDiff: Enhancing Multi-View Synthesis via Localized Epipolar-Constrained Diffusion Zehuan Huang, Hao Wen, Junting Dong, Yaohui Wang, Yangguang Li, Xinyuan Chen, Yan-Pei Cao, Ding Liang, Yu Qiao, Bo Dai, Lu Sheng

NeurIPS 2024 GSDF: 3DGS Meets SDF for Improved Neural Rendering and Reconstruction Mulin Yu, Tao Lu, Linning Xu, Lihan Jiang, Yuanbo Xiangli, Bo Dai

CVPR 2024 Generalized Predictive Model for Autonomous Driving Jiazhi Yang, Shenyuan Gao, Yihang Qiu, Li Chen, Tianyu Li, Bo Dai, Kashyap Chitta, Penghao Wu, Jia Zeng, Ping Luo, Jun Zhang, Andreas Geiger, Yu Qiao, Hongyang Li

NeurIPS 2024 HYDRA: Model Factorization Framework for Black-Box LLM Personalization Yuchen Zhuang, Haotian Sun, Yue Yu, Rushi Qiang, Qifan Wang, Chao Zhang, Bo Dai

NeurIPS 2024 HumanVid: Demystifying Training Data for Camera-Controllable Human Image Animation Zhenzhi Wang, Yixuan Li, Yanhong Zeng, Youqing Fang, Yuwei Guo, Wenran Liu, Jing Tan, Kai Chen, Tianfan Xue, Bo Dai, Dahua Lin

NeurIPS 2024 InterControl: Zero-Shot Human Interaction Generation by Controlling Every Joint Zhenzhi Wang, Jingbo Wang, Yixuan Li, Dahua Lin, Bo Dai

ECCV 2024 LN3Diff: Scalable Latent Neural Fields Diffusion for Speedy 3D Generation Yushi Lan, Fangzhou Hong, Shuai Yang, Shangchen Zhou, Xuyi Meng, Bo Dai, Xingang Pan, Chen Change Loy

NeurIPS 2024 Learning 3D Garment Animation from Trajectories of a Piece of Cloth Yidi Shao, Chen Change Loy, Bo Dai

CVPR 2024 Make-It-Vivid: Dressing Your Animatable Biped Cartoon Characters from Text Junshu Tang, Yanhong Zeng, Ke Fan, Xuheng Wang, Bo Dai, Kai Chen, Lizhuang Ma

ECCV 2024 MotionLCM: Real-Time Controllable Motion Generation via Latent Consistency Model Wenxun Dai, Ling-Hao Chen, Jingbo Wang, Jinpeng Liu, Bo Dai, Yansong Tang

CVPR 2024 PACER+: On-Demand Pedestrian Animation Controller in Driving Scenarios Jingbo Wang, Zhengyi Luo, Ye Yuan, Yixuan Li, Bo Dai

NeurIPS 2024 PhyRecon: Physically Plausible Neural Scene Reconstruction Junfeng Ni, Yixin Chen, Bohan Jing, Nan Jiang, Bin Wang, Bo Dai, Puhao Li, Yixin Zhu, Song-Chun Zhu, Siyuan Huang

CVPR 2024 Point Cloud Pre-Training with Diffusion Models Xiao Zheng, Xiaoshui Huang, Guofeng Mei, Yuenan Hou, Zhaoyang Lyu, Bo Dai, Wanli Ouyang, Yongshun Gong

ICLR 2024 Probabilistic Adaptation of Black-Box Text-to-Video Models Sherry Yang, Yilun Du, Bo Dai, Dale Schuurmans, Joshua B. Tenenbaum, Pieter Abbeel

ICML 2024 Provable Representation with Efficient Planning for Partially Observable Reinforcement Learning Hongming Zhang, Tongzheng Ren, Chenjun Xiao, Dale Schuurmans, Bo Dai

ECCV 2024 RoomTex: Texturing Compositional Indoor Scenes via Iterative Inpainting Qi Wang, Ruijie Lu, Xudong Xu, Jingbo Wang, Michael Yu Wang, Bo Dai, Gang Zeng, Dan Xu

CVPR 2024 Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering Tao Lu, Mulin Yu, Linning Xu, Yuanbo Xiangli, Limin Wang, Dahua Lin, Bo Dai

ECCV 2024 SemGrasp: Semantic Grasp Generation via Language Aligned Discretization Kailin Li, Jingbo Wang, Lixin Yang, Cewu Lu, Bo Dai

NeurIPS 2024 Small Steps No More: Global Convergence of Stochastic Gradient Bandits for Arbitrary Learning Rates Jincheng Mei, Bo Dai, Alekh Agarwal, Sharan Vaswani, Anant Raj, Csaba Szepesvári, Dale Schuurmans

ECCV 2024 SparseCtrl: Adding Sparse Controls to Text-to-Video Diffusion Models Yuwei Guo, Ceyuan Yang, Anyi Rao, Maneesh Agrawala, Dahua Lin, Bo Dai

NeurIPSW 2024 Spectral Representation for Causal Estimation with Hidden Confounders Tongzheng Ren, Haotian Sun, Antoine Moulin, Arthur Gretton, Bo Dai

ICML 2024 Target Networks and Over-Parameterization Stabilize Off-Policy Bootstrapping with Function Approximation Fengdi Che, Chenjun Xiao, Jincheng Mei, Bo Dai, Ramki Gummadi, Oscar A Ramirez, Christopher K Harris, A. Rupam Mahmood, Dale Schuurmans

WACV 2024 Task-Oriented Human-Object Interactions Generation with Implicit Neural Representations Quanzhou Li, Jingbo Wang, Chen Change Loy, Bo Dai

ECCV 2024 Text to Layer-Wise 3D Clothed Human Generation Junting Dong, Qi Fang, Zehuan Huang, Xudong Xu, Jingbo Wang, Sida Peng, Bo Dai

NeurIPS 2024 UQE: A Query Engine for Unstructured Databases Hanjun Dai, Bethany Yixin Wang, Xingchen Wan, Bo Dai, Sherry Yang, Azade Nova, Pengcheng Yin, Phitchaya Mangpo Phothilimthana, Charles Sutton, Dale Schuurmans

ICLR 2024 Unified Human-Scene Interaction via Prompted Chain-of-Contacts Zeqi Xiao, Tai Wang, Jingbo Wang, Jinkun Cao, Wenwei Zhang, Bo Dai, Dahua Lin, Jiangmiao Pang

ICCV 2023 3DHumanGAN: 3D-Aware Human Image Generation with 3D Pose Mapping Zhuoqian Yang, Shikai Li, Wayne Wu, Bo Dai

NeurIPS 2023 AdaPlanner: Adaptive Planning from Feedback with Language Models Haotian Sun, Yuchen Zhuang, Lingkai Kong, Bo Dai, Chao Zhang

NeurIPSW 2023 AdaPlanner: Adaptive Planning from Feedback with Language Models Haotian Sun, Yuchen Zhuang, Lingkai Kong, Bo Dai, Chao Zhang

ICLR 2023 Any-Scale Balanced Samplers for Discrete Space Haoran Sun, Bo Dai, Charles Sutton, Dale Schuurmans, Hanjun Dai

ICCV 2023 AssetField: Assets Mining and Reconfiguration in Ground Feature Plane Representation Yuanbo Xiangli, Linning Xu, Xingang Pan, Nanxuan Zhao, Bo Dai, Dahua Lin

CVPR 2023 Controllable Mesh Generation Through Sparse Latent Point Diffusion Models Zhaoyang Lyu, Jinyi Wang, Yuwei An, Ya Zhang, Dahua Lin, Bo Dai

ICCV 2023 DNA-Rendering: A Diverse Neural Actor Repository for High-Fidelity Human-Centric Rendering Wei Cheng, Ruixiang Chen, Siming Fan, Wanqi Yin, Keyu Chen, Zhongang Cai, Jingbo Wang, Yang Gao, Zhengming Yu, Zhengyu Lin, Daxuan Ren, Lei Yang, Ziwei Liu, Chen Change Loy, Chen Qian, Wayne Wu, Dahua Lin, Bo Dai, Kwan-Yee Lin

AISTATS 2023 Discrete Langevin Samplers via Wasserstein Gradient Flow Haoran Sun, Hanjun Dai, Bo Dai, Haomin Zhou, Dale Schuurmans

UAI 2023 Energy-Based Predictive Representations for Partially Observed Reinforcement Learning Tianjun Zhang, Tongzheng Ren, Chenjun Xiao, Wenli Xiao, Joseph E. Gonzalez, Dale Schuurmans, Bo Dai

CVPR 2023 Generative Diffusion Prior for Unified Image Restoration and Enhancement Ben Fei, Zhaoyang Lyu, Liang Pan, Junzhe Zhang, Weidong Yang, Tianyue Luo, Bo Zhang, Bo Dai

CVPR 2023 Grid-Guided Neural Radiance Fields for Large Urban Scenes Linning Xu, Yuanbo Xiangli, Sida Peng, Xingang Pan, Nanxuan Zhao, Christian Theobalt, Bo Dai, Dahua Lin

IJCAI 2023 HireVAE: An Online and Adaptive Factor Model Based on Hierarchical and Regime-Switch VAE Zikai Wei, Anyi Rao, Bo Dai, Dahua Lin

ICLR 2023 Latent Variable Representation for Reinforcement Learning Tongzheng Ren, Chenjun Xiao, Tianjun Zhang, Na Li, Zhaoran Wang, Sujay Sanghavi, Dale Schuurmans, Bo Dai

NeurIPS 2023 Learning Modulated Transformation in GANs Ceyuan Yang, Qihang Zhang, Yinghao Xu, Jiapeng Zhu, Yujun Shen, Bo Dai

NeurIPS 2023 Learning Universal Policies via Text-Guided Video Generation Yilun Du, Sherry Yang, Bo Dai, Hanjun Dai, Ofir Nachum, Josh Tenenbaum, Dale Schuurmans, Pieter Abbeel

AISTATS 2023 Learning to Optimize with Stochastic Dominance Constraints Hanjun Dai, Yuan Xue, Niao He, Yixin Wang, Na Li, Dale Schuurmans, Bo Dai

ICCV 2023 LinkGAN: Linking GAN Latents to Pixels for Controllable Image Synthesis Jiapeng Zhu, Ceyuan Yang, Yujun Shen, Zifan Shi, Bo Dai, Deli Zhao, Qifeng Chen

ICCV 2023 MatrixCity: A Large-Scale City Dataset for City-Scale Neural Rendering and Beyond Yixuan Li, Lihan Jiang, Linning Xu, Yuanbo Xiangli, Zhenzhi Wang, Dahua Lin, Bo Dai

NeurIPS 2023 Ordering-Based Conditions for Global Convergence of Policy Gradient Methods Jincheng Mei, Bo Dai, Alekh Agarwal, Mohammad Ghavamzadeh, Csaba Szepesvari, Dale Schuurmans

ICCV 2023 OrthoPlanes: A Novel Representation for Better 3D-Awareness of GANs Honglin He, Zhuoqian Yang, Shikai Li, Bo Dai, Wayne Wu

CVPR 2023 Prototype-Based Embedding Network for Scene Graph Generation Chaofan Zheng, Xinyu Lyu, Lianli Gao, Bo Dai, Jingkuan Song

NeurIPS 2023 RenderMe-360: A Large Digital Asset Library and Benchmarks Towards High-Fidelity Head Avatars Dongwei Pan, Long Zhuo, Jingtan Piao, Huiwen Luo, Wei Cheng, Yuxin Wang, Siming Fan, Shengqi Liu, Lei Yang, Bo Dai, Ziwei Liu, Chen Change Loy, Chen Qian, Wayne Wu, Dahua Lin, Kwan-Yee Lin

NeurIPS 2023 Revisiting the Evaluation of Image Synthesis with GANs Mengping Yang, Ceyuan Yang, Yichi Zhang, Qingyan Bai, Yujun Shen, Bo Dai

ICLR 2023 Score-Based Continuous-Time Discrete Diffusion Models Haoran Sun, Lijun Yu, Bo Dai, Dale Schuurmans, Hanjun Dai

CVPR 2023 Self-Supervised Geometry-Aware Encoder for Style-Based 3D GAN Inversion Yushi Lan, Xuyi Meng, Shuai Yang, Chen Change Loy, Bo Dai

ICLR 2023 Spectral Decomposition Representation for Reinforcement Learning Tongzheng Ren, Tianjun Zhang, Lisa Lee, Joseph E. Gonzalez, Dale Schuurmans, Bo Dai

ICML 2023 Stochastic Gradient Succeeds for Bandits Jincheng Mei, Zixin Zhong, Bo Dai, Alekh Agarwal, Csaba Szepesvari, Dale Schuurmans

ICCV 2023 SynBody: Synthetic Dataset with Layered Human Models for 3D Human Perception and Modeling Zhitao Yang, Zhongang Cai, Haiyi Mei, Shuai Liu, Zhaoxi Chen, Weiye Xiao, Yukun Wei, Zhongfei Qing, Chen Wei, Bo Dai, Wayne Wu, Chen Qian, Dahua Lin, Ziwei Liu, Lei Yang

ICCV 2023 Towards Multi-Layered 3D Garments Animation Yidi Shao, Chen Change Loy, Bo Dai

ICCV 2023 X-VoE: Measuring eXplanatory Violation of Expectation in Physical Events Bo Dai, Linge Wang, Baoxiong Jia, Zeyu Zhang, Song-Chun Zhu, Chi Zhang, Yixin Zhu

AISTATS 2022 Offline Policy Selection Under Uncertainty Mengjiao Yang, Bo Dai, Ofir Nachum, George Tucker, Dale Schuurmans

AISTATS 2022 The Curse of Passive Data Collection in Batch Reinforcement Learning Chenjun Xiao, Ilbin Lee, Bo Dai, Dale Schuurmans, Csaba Szepesvari

UAI 2022 A Free Lunch from the Noise: Provable and Practical Exploration for Representation Learning Tongzheng Ren, Tianjun Zhang, Csaba Szepesvári, Bo Dai

ECCV 2022 BRACE: The Breakdancing Competition Dataset for Dance Motion Synthesis Davide Moltisanti, Jinyi Wu, Bo Dai, Chen Change Loy

ECCV 2022 BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-Scale Scene Rendering Yuanbo Xiangli, Linning Xu, Xingang Pan, Nanxuan Zhao, Anyi Rao, Christian Theobalt, Bo Dai, Dahua Lin

NeurIPSW 2022 Constrained MDPs Can Be Solved by Eearly-Termination with Recurrent Models Hao Sun, Ziping Xu, Zhenghao Peng, Meng Fang, Taiyi Wang, Bo Dai, Bolei Zhou

CVPR 2022 Cross-Model Pseudo-Labeling for Semi-Supervised Action Recognition Yinghao Xu, Fangyun Wei, Xiao Sun, Ceyuan Yang, Yujun Shen, Bo Dai, Bolei Zhou, Stephen Lin

ECCV 2022 DeciWatch: A Simple Baseline for 10× Efficient 2D and 3D Pose Estimation Ailing Zeng, Xuan Ju, Lei Yang, Ruiyuan Gao, Xizhou Zhu, Bo Dai, Qiang Xu

ECCV 2022 Extract Free Dense Labels from CLIP Chong Zhou, Chen Change Loy, Bo Dai

NeurIPS 2022 Improving GANs with a Dynamic Discriminator Ceyuan Yang, Yujun Shen, Yinghao Xu, Deli Zhao, Bo Dai, Bolei Zhou

CVPR 2022 Learning Hierarchical Cross-Modal Association for Co-Speech Gesture Generation Xian Liu, Qianyi Wu, Hang Zhou, Yinghao Xu, Rui Qian, Xinyi Lin, Xiaowei Zhou, Wayne Wu, Bo Dai, Bolei Zhou

NeurIPSW 2022 MOPA: A Minimalist Off-Policy Approach to Safe-RL Hao Sun, Ziping Xu, Zhenghao Peng, Meng Fang, Bo Dai, Bolei Zhou

ICML 2022 Making Linear MDPs Practical via Contrastive Representation Learning Tianjun Zhang, Tongzheng Ren, Mengjiao Yang, Joseph Gonzalez, Dale Schuurmans, Bo Dai

ICML 2022 Marginal Distribution Adaptation for Discrete Sets via Module-Oriented Divergence Minimization Hanjun Dai, Mengjiao Yang, Yuan Xue, Dale Schuurmans, Bo Dai

ICML 2022 Model Selection in Batch Policy Optimization Jonathan Lee, George Tucker, Ofir Nachum, Bo Dai

ECCV 2022 Monocular 3D Object Reconstruction with GAN Inversion Junzhe Zhang, Daxuan Ren, Zhongang Cai, Chai Kiat Yeo, Bo Dai, Chen Change Loy

ICLR 2022 Neural Stochastic Dual Dynamic Programming Hanjun Dai, Yuan Xue, Zia Syed, Dale Schuurmans, Bo Dai

NeurIPSW 2022 Novel Policy Seeking with Constrained Optimization Hao Sun, Zhenghao Peng, Bo Dai, Dahua Lin, Bolei Zhou

NeurIPS 2022 On the Global Convergence Rates of Decentralized SoftMax Gradient Play in Markov Potential Games Runyu Zhang, Jincheng Mei, Bo Dai, Dale Schuurmans, Na Li

NeurIPS 2022 Oracle Inequalities for Model Selection in Offline Reinforcement Learning Jonathan N Lee, George Tucker, Ofir Nachum, Bo Dai, Emma Brunskill

CVPR 2022 Revisiting Skeleton-Based Action Recognition Haodong Duan, Yue Zhao, Kai Chen, Dahua Lin, Bo Dai

ICMLW 2022 SAFER: Data-Efficient and Safe Reinforcement Learning via Skill Acquisition Dylan Z Slack, Yinlam Chow, Bo Dai, Nevan Wichers

AAAI 2022 Self-Adaptive Imitation Learning: Learning Tasks with Delayed Rewards from Sub-Optimal Demonstrations Zhuangdi Zhu, Kaixiang Lin, Bo Dai, Jiayu Zhou

NeurIPS 2022 The Role of Baselines in Policy Gradient Optimization Jincheng Mei, Wesley Chung, Valentin Thomas, Bo Dai, Csaba Szepesvari, Dale Schuurmans

CVPR 2022 Towards Diverse and Natural Scene-Aware 3D Human Motion Synthesis Jingbo Wang, Yu Rong, Jingyuan Liu, Sijie Yan, Dahua Lin, Bo Dai

CVPR 2022 TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing Yanbo Xu, Yueqin Yin, Liming Jiang, Qianyi Wu, Chengyao Zheng, Chen Change Loy, Bo Dai, Wayne Wu

ECCV 2022 Transformer with Implicit Edges for Particle-Based Physics Simulation Yidi Shao, Chen Change Loy, Bo Dai

ICLR 2022 Understanding and Leveraging Overparameterization in Recursive Value Estimation Chenjun Xiao, Bo Dai, Jincheng Mei, Oscar A Ramirez, Ramki Gummadi, Chris Harris, Dale Schuurmans

AISTATS 2021 Learning to Defend by Learning to Attack Haoming Jiang, Zhehui Chen, Yuyang Shi, Bo Dai, Tuo Zhao

NeurIPS 2021 A Shading-Guided Generative Implicit Model for Shape-Accurate 3D-Aware Image Synthesis Xingang Pan, Xudong Xu, Chen Change Loy, Christian Theobalt, Bo Dai

ICCV 2021 BlockPlanner: City Block Generation with Vectorized Graph Representation Linning Xu, Yuanbo Xiangli, Anyi Rao, Nanxuan Zhao, Bo Dai, Ziwei Liu, Dahua Lin

NeurIPS 2021 Combiner: Full Attention Transformer with Sparse Computation Cost Hongyu Ren, Hanjun Dai, Zihang Dai, Mengjiao Yang, Jure Leskovec, Dale Schuurmans, Bo Dai

NeurIPS 2021 Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data Liming Jiang, Bo Dai, Wayne Wu, Chen Change Loy

ICLR 2021 Do 2D GANs Know 3D Shape? Unsupervised 3D Shape Reconstruction from 2D Image GANs Xingang Pan, Bo Dai, Ziwei Liu, Chen Change Loy, Ping Luo

ICCV 2021 Focal Frequency Loss for Image Reconstruction and Synthesis Liming Jiang, Bo Dai, Wayne Wu, Chen Change Loy

NeurIPS 2021 Generative Occupancy Fields for 3D Surface-Aware Image Synthesis Xudong Xu, Xingang Pan, Dahua Lin, Bo Dai

ICML 2021 LEGO: Latent Execution-Guided Reasoning for Multi-Hop Question Answering on Knowledge Graphs Hongyu Ren, Hanjun Dai, Bo Dai, Xinyun Chen, Michihiro Yasunaga, Haitian Sun, Dale Schuurmans, Jure Leskovec, Denny Zhou

ICML 2021 Leveraging Non-Uniformity in First-Order Non-Convex Optimization Jincheng Mei, Yue Gao, Bo Dai, Csaba Szepesvari, Dale Schuurmans

NeurIPS 2021 Nearly Horizon-Free Offline Reinforcement Learning Tongzheng Ren, Jialian Li, Bo Dai, Simon S Du, Sujay Sanghavi

NeurIPSW 2021 Offline Policy Selection Under Uncertainty Mengjiao Yang, Bo Dai, Ofir Nachum, George Tucker, Dale Schuurmans

ICML 2021 On the Optimality of Batch Policy Optimization Algorithms Chenjun Xiao, Yifan Wu, Jincheng Mei, Bo Dai, Tor Lattimore, Lihong Li, Csaba Szepesvari, Dale Schuurmans

ICML 2021 Overcoming Catastrophic Forgetting by Bayesian Generative Regularization Pei-Hung Chen, Wei Wei, Cho-Jui Hsieh, Bo Dai

CVPR 2021 Scene-Aware Generative Network for Human Motion Synthesis Jingbo Wang, Sijie Yan, Bo Dai, Dahua Lin

NeurIPS 2021 Towards Understanding Retrosynthesis by Energy-Based Models Ruoxi Sun, Hanjun Dai, Li Li, Steven Kearnes, Bo Dai

NeurIPS 2021 Understanding the Effect of Stochasticity in Policy Optimization Jincheng Mei, Bo Dai, Chenjun Xiao, Csaba Szepesvari, Dale Schuurmans

CVPR 2021 Unsupervised 3D Shape Completion Through GAN Inversion Junzhe Zhang, Xinyi Chen, Zhongang Cai, Liang Pan, Haiyu Zhao, Shuai Yi, Chai Kiat Yeo, Bo Dai, Chen Change Loy

CVPR 2021 Visually Informed Binaural Audio Generation Without Binaural Audios Xudong Xu, Hang Zhou, Ziwei Liu, Bo Dai, Xiaogang Wang, Dahua Lin

ICML 2020 Batch Stationary Distribution Estimation Junfeng Wen, Bo Dai, Lihong Li, Dale Schuurmans

NeurIPS 2020 CoinDICE: Off-Policy Confidence Interval Estimation Bo Dai, Ofir Nachum, Yinlam Chow, Lihong Li, Csaba Szepesvari, Dale Schuurmans

NeurIPSW 2020 Differentiable Top-$k$ with Optimal Transport Yujia Xie, Hanjun Dai, Minshuo Chen, Bo Dai, Tuo Zhao, Hongyuan Zha, Wei Wei, Tomas Pfister

NeurIPS 2020 Differentiable Top-K with Optimal Transport Yujia Xie, Hanjun Dai, Minshuo Chen, Bo Dai, Tuo Zhao, Hongyuan Zha, Wei Wei, Tomas Pfister

ICML 2020 Energy-Based Processes for Exchangeable Data Mengjiao Yang, Bo Dai, Hanjun Dai, Dale Schuurmans

NeurIPS 2020 Escaping the Gravitational Pull of SoftMax Jincheng Mei, Chenjun Xiao, Bo Dai, Lihong Li, Csaba Szepesvari, Dale Schuurmans

ECCV 2020 Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation Xingang Pan, Xiaohang Zhan, Bo Dai, Dahua Lin, Chen Change Loy, Ping Luo

ICLR 2020 GenDICE: Generalized Offline Estimation of Stationary Values Ruiyi Zhang, Bo Dai, Lihong Li, Dale Schuurmans

NeurIPS 2020 Learning Discrete Energy-Based Models via Auxiliary-Variable Local Exploration Hanjun Dai, Rishabh Singh, Bo Dai, Charles A. Sutton, Dale Schuurmans

ICLR 2020 Learning to Plan in High Dimensions via Neural Exploration-Exploitation Trees Binghong Chen, Bo Dai, Qinjie Lin, Guo Ye, Han Liu, Le Song

NeurIPS 2020 Off-Policy Evaluation via the Regularized Lagrangian Mengjiao Yang, Ofir Nachum, Bo Dai, Lihong Li, Dale Schuurmans

NeurIPS 2020 Off-Policy Imitation Learning from Observations Zhuangdi Zhu, Kaixiang Lin, Bo Dai, Jiayu Zhou

NeurIPS 2020 Provably Efficient Neural Estimation of Structural Equation Models: An Adversarial Approach Luofeng Liao, You-Lin Chen, Zhuoran Yang, Bo Dai, Mladen Kolar, Zhaoran Wang

ICLR 2020 Real or Not Real, That Is the Question Yuanbo Xiangli, Yubin Deng, Bo Dai, Chen Change Loy, Dahua Lin

ICML 2020 Scalable Deep Generative Modeling for Sparse Graphs Hanjun Dai, Azade Nazi, Yujia Li, Bo Dai, Dale Schuurmans

NeurIPS 2019 DualDICE: Behavior-Agnostic Estimation of Discounted Stationary Distribution Corrections Ofir Nachum, Yinlam Chow, Bo Dai, Lihong Li

ICMLW 2019 DualDICE: Efficient Estimation of Off-Policy Stationary Distribution Corrections Ofir Nachum, Yinlam Chow, Bo Dai, Lihong Li

NeurIPS 2019 Energy-Inspired Models: Learning with Sampler-Induced Distributions John Lawson, George Tucker, Bo Dai, Rajesh Ranganath

NeurIPS 2019 Exponential Family Estimation via Adversarial Dynamics Embedding Bo Dai, Zhen Liu, Hanjun Dai, Niao He, Arthur Gretton, Le Song, Dale Schuurmans

ICLR 2019 Feature Intertwiner for Object Detection Hongyang Li, Bo Dai, Shaoshuai Shi, Wanli Ouyang, Xiaogang Wang

AISTATS 2019 Kernel Exponential Family Estimation via Doubly Dual Embedding Bo Dai, Hanjun Dai, Arthur Gretton, Le Song, Dale Schuurmans, Niao He

ICLRW 2019 Learning to Defense by Learning to Attack Zhehui Chen, Haoming Jiang, Yuyang Shi, Bo Dai, Tuo Zhao

NeurIPS 2019 Meta Architecture Search Albert Shaw, Wei Wei, Weiyang Liu, Le Song, Bo Dai

NeurIPS 2019 Retrosynthesis Prediction with Conditional Graph Logic Network Hanjun Dai, Chengtao Li, Connor Coley, Bo Dai, Le Song

ICLRW 2019 Revisiting Auxiliary Latent Variables in Generative Models Dieterich Lawson, George Tucker, Bo Dai, Rajesh Ranganath

NeurIPS 2018 A Neural Compositional Paradigm for Image Captioning Bo Dai, Sanja Fidler, Dahua Lin

ICLR 2018 Boosting the Actor with Dual Critic Bo Dai, Albert Shaw, Niao He, Lihong Li, Le Song

NeurIPS 2018 Cooperative Neural Networks (CoNN): Exploiting Prior Independence Structure for Improved Classification Harsh Shrivastava, Eugene Bart, Bob Price, Hanjun Dai, Bo Dai, Srinivas Aluru

NeurIPS 2018 Coupled Variational Bayes via Optimization Embedding Bo Dai, Hanjun Dai, Niao He, Weiyang Liu, Zhen Liu, Jianshu Chen, Lin Xiao, Le Song

UAI 2018 Learning Deep Hidden Nonlinear Dynamics from Aggregate Data Yisen Wang, Bo Dai, Lingkai Kong, Sarah Monazam Erfani, James Bailey, Hongyuan Zha

ICML 2018 Learning Steady-States of Iterative Algorithms over Graphs Hanjun Dai, Zornitsa Kozareva, Bo Dai, Alex Smola, Le Song

NeurIPS 2018 Learning Towards Minimum Hyperspherical Energy Weiyang Liu, Rongmei Lin, Zhen Liu, Lixin Liu, Zhiding Yu, Bo Dai, Le Song

ECCV 2018 Move Forward and Tell: A Progressive Generator of Video Descriptions Yilei Xiong, Bo Dai, Dahua Lin

AISTATS 2018 Multi-Scale Nystrom Method Woosang Lim, Rundong Du, Bo Dai, Kyomin Jung, Le Song, Haesun Park

NeurIPS 2018 Predictive Approximate Bayesian Computation via Saddle Points Yingxiang Yang, Bo Dai, Negar Kiyavash, Niao He

ECCV 2018 Rethinking the Form of Latent States in Image Captioning Bo Dai, Deming Ye, Dahua Lin

ICML 2018 SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation Bo Dai, Albert Shaw, Lihong Li, Lin Xiao, Niao He, Zhen Liu, Jianshu Chen, Le Song

IJCAI 2018 Structured Inference for Recurrent Hidden Semi-Markov Model Hao Liu, Lirong He, Haoli Bai, Bo Dai, Kun Bai, Zenglin Xu

ICLR 2018 Syntax-Directed Variational Autoencoder for Structured Data Hanjun Dai, Yingtao Tian, Bo Dai, Steven Skiena, Le Song

ICML 2018 Towards Black-Box Iterative Machine Teaching Weiyang Liu, Bo Dai, Xingguo Li, Zhen Liu, James Rehg, Le Song

NeurIPS 2017 Contrastive Learning for Image Captioning Bo Dai, Dahua Lin

NeurIPS 2017 Deep Hyperspherical Learning Weiyang Liu, Yan-Ming Zhang, Xingguo Li, Zhiding Yu, Bo Dai, Tuo Zhao, Le Song

CVPR 2017 Detecting Visual Relationships with Deep Relational Networks Bo Dai, Yuqi Zhang, Dahua Lin

ICML 2017 Iterative Machine Teaching Weiyang Liu, Bo Dai, Ahmad Humayun, Charlene Tay, Chen Yu, Linda B. Smith, James M. Rehg, Le Song

AISTATS 2017 Learning from Conditional Distributions via Dual Embeddings Bo Dai, Niao He, Yunpeng Pan, Byron Boots, Le Song

ICLR 2017 Recurrent Hidden Semi-Markov Model Hanjun Dai, Bo Dai, Yan-Ming Zhang, Shuang Li, Le Song

ICML 2017 Stochastic Generative Hashing Bo Dai, Ruiqi Guo, Sanjiv Kumar, Niao He, Le Song

ICCV 2017 Towards Diverse and Natural Image Descriptions via a Conditional GAN Bo Dai, Sanja Fidler, Raquel Urtasun, Dahua Lin

ICML 2016 Discriminative Embeddings of Latent Variable Models for Structured Data Hanjun Dai, Bo Dai, Le Song

AISTATS 2016 Provable Bayesian Inference via Particle Mirror Descent Bo Dai, Niao He, Hanjun Dai, Le Song

ICML 2014 Nonparametric Estimation of Multi-View Latent Variable Models Le Song, Animashree Anandkumar, Bo Dai, Bo Xie

NeurIPS 2014 Scalable Kernel Methods via Doubly Stochastic Gradients Bo Dai, Bo Xie, Niao He, Yingyu Liang, Anant Raj, Maria-Florina F Balcan, Le Song

ICML 2014 Transductive Learning with Multi-Class Volume Approximation Gang Niu, Bo Dai, Christoffel Plessis, Masashi Sugiyama

JMLR 2013 Maximum Volume Clustering: A New Discriminative Clustering Approach Gang Niu, Bo Dai, Lin Shang, Masashi Sugiyama

NeurIPS 2013 Robust Low Rank Kernel Embeddings of Multivariate Distributions Le Song, Bo Dai

ICML 2013 Squared-Loss Mutual Information Regularization: A Novel Information-Theoretic Approach to Semi-Supervised Learning Gang Niu, Wittawat Jitkrittum, Bo Dai, Hirotaka Hachiya, Masashi Sugiyama

ICML 2012 Information-Theoretic Semi-Supervised Metric Learning via Entropy Regularization Gang Niu, Bo Dai, Makoto Yamada, Masashi Sugiyama

AISTATS 2011 Maximum Volume Clustering Gang Niu, Bo Dai, Lin Shang, Masashi Sugiyama

ACML 2010 Minimum Conditional Entropy Clustering: A Discriminative Framework for Clustering Bo Dai, Baogang Hu