Wang, Yue

156 publications

ICML 2025 A Reduction Framework for Distributionally Robust Reinforcement Learning Under Average Reward Zachary Andrew Roch, George K. Atia, Yue Wang

ICML 2025 A Selective Learning Method for Temporal Graph Continual Learning Hanmo Liu, Shimin Di, Haoyang Li, Xun Jian, Yue Wang, Lei Chen

IJCAI 2025 AKBR: Learning Adaptive Kernel-Based Representations for Graph Classification Lu Bai, Feifei Qian, Lixin Cui, Ming Li, Hangyuan Du, Yue Wang, Edwin R. Hancock

AAAI 2025 Adaptive Wavelet-Positional Encoding for High-Frequency Information Learning in Implicit Neural Representation Hongxu Zhao, Zelin Gao, Yue Wang, Rong Xiong, Yu Zhang

IJCAI 2025 An End-to-End Simple Clustering Hierarchical Pooling Operation for Graph Learning Based on Top-K Node Selection Zhehan Zhao, Lu Bai, Ming Li, Lixin Cui, Hangyuan Du, Yue Wang, Edwin R. Hancock

ICLRW 2025 Aria-UI: Visual Grounding for GUI Instructions Yuhao Yang, Yue Wang, Dongxu Li, Ziyang Luo, Bei Chen, Chao Huang, Junnan Li

ICLRW 2025 AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions Ziming Li, Qianbo Zang, David Ma, Jiawei Guo, Tianyu Zheng, Minghao Liu, Xinyao Niu, Yue Wang, Jian Yang, Jiaheng Liu, Wanjun Zhong, Wangchunshu Zhou, Stephen Huang, Ge Zhang

ICCV 2025 COME: Dual Structure-Semantic Learning with Collaborative MoE for Universal Lesion Detection Across Heterogeneous Ultrasound Datasets Lingyu Chen, Yawen Zeng, Yue Wang, Peng Wan, Guochen Ning, Hongen Liao, Daoqiang Zhang, Fang Chen

CVPR 2025 CarPlanner: Consistent Auto-Regressive Trajectory Planning for Large-Scale Reinforcement Learning in Autonomous Driving Dongkun Zhang, Jiaming Liang, Ke Guo, Sha Lu, Qi Wang, Rong Xiong, Zhenwei Miao, Yue Wang

ICLRW 2025 CodeEditorBench: Evaluating Code Editing Capability of LLMs Jiawei Guo, Ziming Li, Xueling Liu, Kaijing Ma, Tianyu Zheng, Zhouliang Yu, Ding Pan, Yizhi Li, Ruibo Liu, Yue Wang, Shuyue Guo, Xingwei Qu, Xiang Yue, Ge Zhang, Wenhu Chen, Jie Fu

AAAI 2025 Contradicted in Reliable, Replicated in Unreliable: Dual-Source Reference for Fake News Early Detection Yifan Feng, Weimin Li, Yue Wang, Jingchao Wang, Fangfang Liu, Zhongming Han

ICML 2025 ENAHPool: The Edge-Node Attention-Based Hierarchical Pooling for Graph Neural Networks Zhehan Zhao, Lu Bai, Lixin Cui, Ming Li, Ziyu Lyu, Lixiang Xu, Yue Wang, Edwin Hancock

CVPR 2025 EVolSplat: Efficient Volume-Based Gaussian Splatting for Urban View Synthesis Sheng Miao, Jiaxin Huang, Dongfeng Bai, Xu Yan, Hongyu Zhou, Yue Wang, Bingbing Liu, Andreas Geiger, Yiyi Liao

IJCAI 2025 Exploring the Over-Smoothing Problem of Graph Neural Networks for Graph Classification: An Entropy-Based Viewpoint Feifei Qian, Lu Bai, Lixin Cui, Ming Li, Hangyuan Du, Yue Wang, Edwin R. Hancock

ICCV 2025 Extrapolated Urban View Synthesis Benchmark Xiangyu Han, Zhen Jia, Boyi Li, Yan Wang, Boris Ivanovic, Yurong You, Lingjie Liu, Yue Wang, Marco Pavone, Chen Feng, Yiming Li

ICLR 2025 Fantastic Copyrighted Beasts and How (Not) to Generate Them Luxi He, Yangsibo Huang, Weijia Shi, Tinghao Xie, Haotian Liu, Yue Wang, Luke Zettlemoyer, Chiyuan Zhang, Danqi Chen, Peter Henderson

NeurIPS 2025 First SFT, Second RL, Third UPT: Continual Improving Multi-Modal LLM Reasoning via Unsupervised Post-Training Lai Wei, Yuting Li, Chen Wang, Yue Wang, Linghe Kong, Weiran Huang, Lichao Sun

ICML 2025 From Uncertain to Safe: Conformal Adaptation of Diffusion Models for Safe PDE Control Peiyan Hu, Xiaowei Qian, Wenhao Deng, Rui Wang, Haodong Feng, Ruiqi Feng, Tao Zhang, Long Wei, Yue Wang, Zhi-Ming Ma, Tailin Wu

ICML 2025 GRU: Mitigating the Trade-Off Between Unlearning and Retention for LLMs Yue Wang, Qizhou Wang, Feng Liu, Wei Huang, Yali Du, Xiaojiang Du, Bo Han

CVPR 2025 Grounding 3D Object Affordance with Language Instructions, Visual Observations and Interactions He Zhu, Quyu Kong, Kechun Xu, Xunlong Xia, Bing Deng, Jieping Ye, Rong Xiong, Yue Wang

IJCAI 2025 HA-SCN: Learning Hierarchical Aligned Subtree Convolutional Networks for Graph Classification Xinya Qin, Lu Bai, Lixin Cui, Ming Li, Hangyuan Du, Yue Wang, Edwin R. Hancock

ICLR 2025 HR-Extreme: A High-Resolution Dataset for Extreme Weather Forecasting Nian Ran, Peng Xiao, Yue Wang, Wesley Shi, Jianxin Lin, Qi Meng, Richard Allmendinger

AAAI 2025 How to Re-Enable PDE Loss for Physical Systems Modeling Under Partial Observation Haodong Feng, Yue Wang, Dixia Fan

ICCV 2025 InfiniCube: Unbounded and Controllable Dynamic 3D Driving Scene Generation with World-Guided Video Models Yifan Lu, Xuanchi Ren, Jiawei Yang, Tianchang Shen, Zhangjie Wu, Jun Gao, Yue Wang, Siheng Chen, Mike Chen, Sanja Fidler, Jiahui Huang

ICLR 2025 Language-Image Models with 3D Understanding Jang Hyun Cho, Boris Ivanovic, Yulong Cao, Edward Schmerling, Yue Wang, Xinshuo Weng, Boyi Li, Yurong You, Philipp Kraehenbuehl, Yan Wang, Marco Pavone

CVPR 2025 Learning Temporally Consistent Video Depth from Video Diffusion Priors Jiahao Shao, Yuanbo Yang, Hongyu Zhou, Youmin Zhang, Yujun Shen, Vitor Guizilini, Yue Wang, Matteo Poggi, Yiyi Liao

ICCV 2025 Learning an Implicit Physics Model for Image-Based Fluid Simulation Emily Yue-Ting Jia, Jiageng Mao, Zhiyuan Gao, Yajie Zhao, Yue Wang

ICLR 2025 LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation Models Ziqi Lu, Heng Yang, Danfei Xu, Boyi Li, Boris Ivanovic, Marco Pavone, Yue Wang

IJCAI 2025 MSCI: Addressing CLIP's Inherent Limitations for Compositional Zero-Shot Learning Yue Wang, Shuai Xu, Xuelin Zhu, Yicong Li

CoRL 2025 ManipBench: Benchmarking Vision-Language Models for Low-Level Robot Manipulation Enyu Zhao, Vedant Raval, Hejia Zhang, Jiageng Mao, Zeyu Shangguan, Stefanos Nikolaidis, Yue Wang, Daniel Seita

NeurIPS 2025 Martian World Model: Controllable Video Synthesis with Physically Accurate 3D Reconstructions Longfei Li, Zhiwen Fan, Wenyan Cong, Xinhang Liu, Yuyang Yin, Matt Foutter, Panwang Pan, Chenyu You, Yue Wang, Zhangyang Wang, Yao Zhao, Marco Pavone, Yunchao Wei

IJCAI 2025 Model-Based Closed-Loop Control Algorithm for Stochastic Partial Differential Equation Control Peiyan Hu, Haodong Feng, Yue Wang, Zhiming Ma

ICLR 2025 Model-Free Offline Reinforcement Learning with Enhanced Robustness Chi Zhang, Zain Ulabedeen Farhat, George K. Atia, Yue Wang

ICLR 2025 Multiview Equivariance Improves 3D Correspondence Understanding with Minimal Feature Finetuning Yang You, Yixin Li, Congyue Deng, Yue Wang, Leonidas Guibas

ICLR 2025 N-ForGOT: Towards Not-Forgetting and Generalization of Open Temporal Graph Learning Liping Wang, Xujia Li, Jingshu Peng, Yue Wang, Chen Zhang, Yan Zhou, Lei Chen

ICLR 2025 Neural Eulerian Scene Flow Fields Kyle Vedder, Neehar Peri, Ishan Khatri, Siyi Li, Eric Eaton, Mehmet Kemal Kocamaz, Yue Wang, Zhiding Yu, Deva Ramanan, Joachim Pehserl

ICLR 2025 OmniRe: Omni Urban Scene Reconstruction Ziyu Chen, Jiawei Yang, Jiahui Huang, Riccardo de Lutio, Janick Martinez Esturo, Boris Ivanovic, Or Litany, Zan Gojcic, Sanja Fidler, Marco Pavone, Li Song, Yue Wang

AAAI 2025 Out-of-Distribution Detection with Prototypical Outlier Proxy Mingrong Gong, Chaoqi Chen, Qingqiang Sun, Yue Wang, Hui Huang

ICML 2025 Pessimism Principle Can Be Effective: Towards a Framework for Zero-Shot Transfer Reinforcement Learning Chi Zhang, Ziying Jia, George K. Atia, Sihong He, Yue Wang

ICLR 2025 PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding Wei Chow, Jiageng Mao, Boyi Li, Daniel Seita, Vitor Campagnolo Guizilini, Yue Wang

ICLRW 2025 PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding Wei Chow, Jiageng Mao, Boyi Li, Daniel Seita, Vitor Campagnolo Guizilini, Yue Wang

MLJ 2025 Prompt-Based Contrastive Learning to Combat the COVID-19 Infodemic Zifan Peng, Mingchen Li, Yue Wang, Daniel Y. Mo

ICLRW 2025 RecFlow Policy: Fast and Accurate Visuomotor Policy Learning via Rectified Action Flow Rong Xue, Jiageng Mao, Mingtong Zhang, Yue Wang

ICLRW 2025 Reveal the Mystery of DPO: The Connection Between DPO and RL Algorithms Xuerui Su, Yue Wang, Jinhua Zhu, Mingyang Yi, Feng Xu, Zhi-Ming Ma, Yuting Liu

CoRL 2025 Robot Learning from Any Images Siheng Zhao, Jiageng Mao, Wei Chow, Zeyu Shangguan, Tianheng Shi, Rong Xue, Yuxi Zheng, Yijia Weng, Yang You, Daniel Seita, Leonidas Guibas, Sergey Zakharov, Vitor Campagnolo Guizilini, Yue Wang

TMLR 2025 SIRE: SE(3) Intrinsic Rigidity Embeddings Cameron Omid Smith, Basile Van Hoorick, Chonghyuk Song, Vincent Sitzmann, Vitor Campagnolo Guizilini, Yue Wang

ICML 2025 SNS-Bench: Defining, Building, and Assessing Capabilities of Large Language Models in Social Networking Services Hongcheng Guo, Yue Wang, Shaosheng Cao, Fei Zhao, Boyang Wang, Lei Li, Liang Chen, Xinze Lyu, Zhe Xu, Yao Hu, Zhoujun Li

ICLR 2025 STORM: Spatio-TempOral Reconstruction Model for Large-Scale Outdoor Scenes Jiawei Yang, Jiahui Huang, Boris Ivanovic, Yuxiao Chen, Yan Wang, Boyi Li, Yurong You, Apoorva Sharma, Maximilian Igl, Peter Karkus, Danfei Xu, Yue Wang, Marco Pavone

NeurIPS 2025 Seeing the Wind from a Falling Leaf Zhiyuan Gao, Jiageng Mao, Hong-Xing Yu, Haozhe Lou, Emily Yue-ting Jia, Jernej Barbic, Jiajun Wu, Yue Wang

CVPR 2025 Spatiotemporal Decoupling for Efficient Vision-Based Occupancy Forecasting Jingyi Xu, Xieyuanli Chen, Junyi Ma, Jiawei Huang, Jintao Xu, Yue Wang, Ling Pei

CVPR 2025 Symbolic Representation for Any-to-Any Generative Tasks Jiaqi Chen, Xiaoye Zhu, Yue Wang, Tianyang Liu, Xinhui Chen, Ying Chen, Chak Tou Leong, Yifei Ke, Joseph Liu, Yiwen Yuan, Julian McAuley, Li-jia Li

NeurIPS 2025 Thoughts Are All over the Place: On the Underthinking of Long Reasoning Models Yue Wang, Qiuzhi Liu, Jiahao Xu, Tian Liang, Xingyu Chen, Zhiwei He, Linfeng Song, Dian Yu, Juntao Li, Zhuosheng Zhang, Rui Wang, Zhaopeng Tu, Haitao Mi, Dong Yu

NeurIPS 2025 Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional Training Mengru Wang, Xingyu Chen, Yue Wang, Zhiwei He, Jiahao Xu, Tian Liang, Qiuzhi Liu, Yunzhi Yao, Wenxuan Wang, Ruotian Ma, Haitao Mi, Ningyu Zhang, Zhaopeng Tu, Xiaolong Li, Dong Yu

ICLR 2025 Wavelet Diffusion Neural Operator Peiyan Hu, Rui Wang, Xiang Zheng, Tao Zhang, Haodong Feng, Ruiqi Feng, Long Wei, Yue Wang, Zhi-Ming Ma, Tailin Wu

NeurIPSW 2024 A Probabilistic Generative Method for Safe Physical System Control Problems Peiyan Hu, Xiaowei Qian, Wenhao Deng, Rui Wang, Haodong Feng, Ruiqi Feng, Tao Zhang, Long Wei, Yue Wang, Zhi-Ming Ma, Tailin Wu

NeurIPS 2024 A Unified Principle of Pessimism for Offline Reinforcement Learning Under Model Mismatch Yue Wang, Zhongchang Sun, Shaofeng Zou

TMLR 2024 Achieving the Asymptotically Minimax Optimal Sample Complexity of Offline Reinforcement Learning: A DRO-Based Approach Yue Wang, Jinjun Xiong, Shaofeng Zou

ICLR 2024 Better Neural PDE Solvers Through Data-Free Mesh Movers Peiyan Hu, Yue Wang, Zhi-Ming Ma

ECCV 2024 Denoising Vision Transformers Jiawei Yang, Katie Z Luo, Jiefeng Li, Congyue Deng, Leonidas Guibas, Dilip Krishnan, Kilian Weinberger, Yonglong Tian, Yue Wang

NeurIPS 2024 DiffPhyCon: A Generative Approach to Control Complex Physical Systems Long Wei, Peiyan Hu, Ruiqi Feng, Haodong Feng, Yixuan Du, Tao Zhang, Rui Wang, Yue Wang, Zhi-Ming Ma, Tailin Wu

NeurIPS 2024 DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features Letian Wang, Seung Wook Kim, Jiawei Yang, Cunjun Yu, Boris Ivanovic, Steven Waslander, Yue Wang, Sanja Fidler, Marco Pavone, Peter Karkus

CVPR 2024 Driving Everywhere with Large Language Model Policy Adaptation Boyi Li, Yue Wang, Jiageng Mao, Boris Ivanovic, Sushant Veer, Karen Leung, Marco Pavone

ECCV 2024 Dropout Mixture Low-Rank Adaptation for Visual Parameters-Efficient Fine-Tuning Zhengyi Fang, Yue Wang, Ran Yi, Lizhuang Ma

AAAI 2024 EDA: Evolving and Distinct Anchors for Multimodal Motion Prediction Longzhong Lin, Xuewu Lin, Tianwei Lin, Lichao Huang, Rong Xiong, Yue Wang

ICLR 2024 EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision Jiawei Yang, Boris Ivanovic, Or Litany, Xinshuo Weng, Seung Wook Kim, Boyi Li, Tong Che, Danfei Xu, Sanja Fidler, Marco Pavone, Yue Wang

ICLRW 2024 Estimating Multi-Cause Average Treatment Effects via Partial Cause Intervention Hong Gao, Quanrun Chen, Yue Wang, Wei Chen, Huazhen Lin

MLJ 2024 Finite-Time Error Bounds for Greedy-GQ Yue Wang, Yi Zhou, Shaofeng Zou

ICMLW 2024 Gene Regulatory Network Inference from Pre-Trained Single-Cell Transcriptomics Transformer with Joint Graph Learning Sindhura Kommu, Yizhi Wang, Yue Wang, Xuan Wang

ICLRW 2024 Generative PDE Control Long Wei, Peiyan Hu, Ruiqi Feng, Yixuan Du, Tao Zhang, Rui Wang, Yue Wang, Zhi-Ming Ma, Tailin Wu

NeurIPS 2024 HC-GAE: The Hierarchical Cluster-Based Graph Auto-Encoder for Graph Representation Learning Lu Bai, Zhuo Xu, Lixin Cui, Ming Li, Yue Wang, Edwin R. Hancock

CVPR 2024 HUGS: Holistic Urban 3D Scene Understanding via Gaussian Splatting Hongyu Zhou, Jiahao Shao, Lu Xu, Dongfeng Bai, Weichao Qiu, Bingbing Liu, Yue Wang, Andreas Geiger, Yiyi Liao

NeurIPS 2024 Large Spatial Model: End-to-End Unposed Images to Semantic 3D Zhiwen Fan, Jian Zhang, Wenyan Cong, Peihao Wang, Renjie Li, Kairun Wen, Shijie Zhou, Achuta Kadambi, Zhangyang Wang, Danfei Xu, Boris Ivanovic, Marco Pavone, Yue Wang

ECCV 2024 Learning 3D-Aware GANs from Unposed Images with Template Feature Field Xinya Chen, Hanlei Guo, Yanrui Bin, Shangzhan Zhang, Yuanbo Yang, Yujun Shen, Yue Wang, Yiyi Liao

CoRL 2024 Let Occ Flow: Self-Supervised 3D Occupancy Flow Prediction Yili Liu, Linzhan Mou, Xuan Yu, Chenrui Han, Sitong Mao, Rong Xiong, Yue Wang

ICLRW 2024 MathChat: Converse to Tackle Challenging Math Problems with LLM Agents Yiran Wu, Feiran Jia, Shaokun Zhang, Hangyu Li, Erkang Zhu, Yue Wang, Yin Tat Lee, Richard Peng, Qingyun Wu, Chi Wang

NeurIPS 2024 Memorize What Matters: Emergent Scene Decomposition from Multitraverse Yiming Li, Zehong Wang, Yue Wang, Zhiding Yu, Zan Gojcic, Marco Pavone, Chen Feng, Jose M. Alvarez

UAI 2024 Model-Free Robust Reinforcement Learning with Sample Complexity Analysis Yudan Wang, Shaofeng Zou, Yue Wang

ICML 2024 Non-Asymptotic Analysis for Single-Loop (Natural) Actor-Critic with Compatible Function Approximation Yudan Wang, Yue Wang, Yi Zhou, Shaofeng Zou

CVPR 2024 PARA-Drive: Parallelized Architecture for Real-Time Autonomous Driving Xinshuo Weng, Boris Ivanovic, Yan Wang, Yue Wang, Marco Pavone

ICML 2024 Parallelized Spatiotemporal Slot Binding for Videos Gautam Singh, Yue Wang, Jiawei Yang, Boris Ivanovic, Sungjin Ahn, Marco Pavone, Tong Che

ECCV 2024 PreSight: Enhancing Autonomous Vehicle Perception with City-Scale NeRF Priors Tianyuan Yuan, Yucheng Mao, Jiawei Yang, Yicheng Liu, Yue Wang, Hang Zhao

CoRL 2024 Q-SLAM: Quadric Representations for Monocular SLAM Chensheng Peng, Chenfeng Xu, Yue Wang, Mingyu Ding, Heng Yang, Masayoshi Tomizuka, Kurt Keutzer, Marco Pavone, Wei Zhan

ICML 2024 QBMK: Quantum-Based Matching Kernels for Un-Attributed Graphs Lu Bai, Lixin Cui, Ming Li, Yue Wang, Edwin Hancock

CoRL 2024 RAM: Retrieval-Based Affordance Transfer for Generalizable Zero-Shot Robotic Manipulation Yuxuan Kuang, Junjie Ye, Haoran Geng, Jiageng Mao, Congyue Deng, Leonidas Guibas, He Wang, Yue Wang

WACV 2024 Removing the Quality Tax in Controllable Face Generation Yiwen Huang, Zhiqiu Yu, Xinjie Yi, Yue Wang, James Tompkin

JAIR 2024 Robust Average-Reward Reinforcement Learning Yue Wang, Alvaro Velasquez, George K. Atia, Ashley Prater-Bennette, Shaofeng Zou

CVPR 2024 Semantics-Aware Motion Retargeting with Vision-Language Models Haodong Zhang, Zhike Chen, Haocheng Xu, Lei Hao, Xiaofei Wu, Songcen Xu, Zhensong Zhang, Yue Wang, Rong Xiong

AAAI 2024 Social Physics Informed Diffusion Model for Crowd Simulation Hongyi Chen, Jingtao Ding, Yong Li, Yue Wang, Xiao-Ping Zhang

WACV 2024 StreamMapNet: Streaming Mapping Network for Vectorized Online HD mAP Construction Tianyuan Yuan, Yicheng Liu, Yue Wang, Yilun Wang, Hang Zhao

CoRL 2024 Tokenize the World into Object-Level Knowledge to Address Long-Tail Events in Autonomous Driving Thomas Tian, Boyi Li, Xinshuo Weng, Yuxiao Chen, Edward Schmerling, Yue Wang, Boris Ivanovic, Marco Pavone

CVPR 2024 Towards Realistic Scene Generation with LiDAR Diffusion Models Haoxi Ran, Vitor Guizilini, Yue Wang

CoRL 2023 Cross-Dataset Sensor Alignment: Making Visual 3D Object Detector Generalizable Liangtao Zheng, Yicheng Liu, Yue Wang, Hang Zhao

AAAI 2023 Deep Latent Regularity Network for Modeling Stochastic Partial Differential Equations Shiqi Gong, Peiyan Hu, Qi Meng, Yue Wang, Rongchan Zhu, Bingguang Chen, Zhiming Ma, Hao Ni, Tie-Yan Liu

CVPRW 2023 FUTR3D: A Unified Sensor Fusion Framework for 3D Detection Xuanyao Chen, Tianyuan Zhang, Yue Wang, Yilun Wang, Hang Zhao

CVPR 2023 FreeNeRF: Improving Few-Shot Neural Rendering with Free Frequency Regularization Jiawei Yang, Marco Pavone, Yue Wang

NeurIPSW 2023 GPT-Driver: Learning to Drive with GPT Jiageng Mao, Yuxi Qian, Junjie Ye, Hang Zhao, Yue Wang

CVPR 2023 GeoMAE: Masked Geometric Target Prediction for Self-Supervised Point Cloud Pre-Training Xiaoyu Tian, Haoxi Ran, Yue Wang, Hang Zhao

NeurIPS 2023 H-Nobs: Achieving Certified Fairness and Robustness in Distributed Learning on Heterogeneous Datasets Guanqiang Zhou, Ping Xu, Yue Wang, Zhi Tian

ICLR 2023 Making Better Decision by Directly Planning in Continuous Control Jinhua Zhu, Yue Wang, Lijun Wu, Tao Qin, Wengang Zhou, Tie-Yan Liu, Houqiang Li

ICML 2023 Model-Free Robust Average-Reward Reinforcement Learning Yue Wang, Alvaro Velasquez, George K. Atia, Ashley Prater-Bennette, Shaofeng Zou

CVPR 2023 Multimodal Industrial Anomaly Detection via Hybrid Fusion Yue Wang, Jinlong Peng, Jiangning Zhang, Ran Yi, Yabiao Wang, Chengjie Wang

CVPR 2023 Neural mAP Prior for Autonomous Driving Xuan Xiong, Yicheng Liu, Tianyuan Yuan, Yue Wang, Yilun Wang, Hang Zhao

ICML 2023 NeuralStagger: Accelerating Physics-Constrained Neural PDE Solver with Spatial-Temporal Decomposition Xinquan Huang, Wenlei Shi, Qi Meng, Yue Wang, Xiaotian Gao, Jia Zhang, Tie-Yan Liu

NeurIPS 2023 Occ3D: A Large-Scale 3D Occupancy Prediction Benchmark for Autonomous Driving Xiaoyu Tian, Tao Jiang, Longfei Yun, Yucheng Mao, Huitong Yang, Yue Wang, Yilun Wang, Hang Zhao

ICML 2023 On Uni-Modal Feature Learning in Supervised Multi-Modal Learning Chenzhuang Du, Jiaye Teng, Tingle Li, Yichen Liu, Tianyuan Yuan, Yue Wang, Yang Yuan, Hang Zhao

CVPR 2023 PyramidFlow: High-Resolution Defect Contrastive Localization Using Pyramid Normalizing Flow Jiarui Lei, Xiaobo Hu, Yue Wang, Dong Liu

AAAI 2023 Robust Average-Reward Markov Decision Processes Yue Wang, Alvaro Velasquez, George K. Atia, Ashley Prater-Bennette, Shaofeng Zou

CVPR 2023 SteerNeRF: Accelerating NeRF Rendering via Smooth Viewpoint Trajectory Sicheng Li, Hao Li, Yue Wang, Yiyi Liao, Lu Yu

ICCV 2023 UrbanGIRAFFE: Representing Urban Scenes as Compositional Generative Neural Feature Fields Yuanbo Yang, Yifei Yang, Hanlei Guo, Rong Xiong, Yue Wang, Yiyi Liao

ICML 2023 VectorMapNet: End-to-End Vectorized HD mAP Learning Yicheng Liu, Tianyuan Yuan, Yue Wang, Yilun Wang, Hang Zhao

CVPR 2023 ViP3D: End-to-End Visual Trajectory Prediction via 3D Agent Queries Junru Gu, Chenxu Hu, Tianyuan Zhang, Xuanyao Chen, Yilun Wang, Yue Wang, Hang Zhao

ECCV 2022 A Visual Navigation Perspective for Category-Level Object Pose Estimation Jiaxin Guo, Fangxun Zhong, Rong Xiong, Yun-Hui Liu, Yue Wang, Yiyi Liao

NeurIPS 2022 CodeRL: Mastering Code Generation Through Pretrained Models and Deep Reinforcement Learning Hung Le, Yue Wang, Akhilesh Deepak Gotmare, Silvio Savarese, Steven Chu Hong Hoi

ICLRW 2022 Decoupled Graph Neural Networks Based on Label Agreement Message Propagation Zhicheng An, Zhengwei Wu, Binbin Hu, Zhiqiang Zhang, Jun Zhou, Yue Wang, Shao-Lun Huang

CoRL 2022 Fusing Priori and Posteriori Metrics for Automatic Dataset Annotation of Planar Grasping Hao Sha, Lai Qianen, Hongxiang Yu, Rong Xiong, Yue Wang

ICLR 2022 Gradient Information Matters in Policy Optimization by Back-Propagating Through Model Chongchong Li, Yue Wang, Wei Chen, Yuting Liu, Zhi-Ming Ma, Tie-Yan Liu

CoRL 2022 Learning Interpretable BEV Based VIO Without Deep Neural Networks Zexi Chen, Haozhe Du, Xuecheng Xu, Rong Xiong, Yiyi Liao, Yue Wang

CVPRW 2022 MUTR3D: A Multi-Camera Tracking Framework via 3D-to-2D Queries Tianyuan Zhang, Xuanyao Chen, Yue Wang, Yilun Wang, Hang Zhao

ICLRW 2022 Meta-FAVAE: Toward Fast and Diverse Few-Shot Image Generation via Meta-Learning and Feedback Augmented Adversarial VAE Fangli Ying, Aniwat Phaphuangwittayakul, Yi Guo, Xiaoyue Huang, Yue Wang

CoRL 2022 Multi-Robot Scene Completion: Towards Task-Agnostic Collaborative Perception Yiming Li, Juexiao Zhang, Dekun Ma, Yue Wang, Chen Feng

ICML 2022 Policy Gradient Method for Robust Reinforcement Learning Yue Wang, Shaofeng Zou

CoRL 2022 Representation Learning for Object Detection from Unlabeled Point Cloud Sequences Xiangru Huang, Yue Wang, Vitor Campagnolo Guizilini, Rares Andrei Ambrus, Adrien Gaidon, Justin Solomon

JMLR 2021 COKE: Communication-Censored Decentralized Kernel Learning Ping Xu, Yue Wang, Xiang Chen, Zhi Tian

CoRL 2021 DETR3D: 3D Object Detection from Multi-View Images via 3D-to-2D Queries Yue Wang, Vitor Campagnolo Guizilini, Tianyuan Zhang, Yilun Wang, Hang Zhao, Justin Solomon

ICCVW 2021 Few-Shot Learning with Online Self-Distillation Sihan Liu, Yue Wang

ICLR 2021 HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark Chaojian Li, Zhongzhi Yu, Yonggan Fu, Yongan Zhang, Yang Zhao, Haoran You, Qixuan Yu, Yue Wang, Cong Hao, Yingyan Lin

NeurIPS 2021 Non-Asymptotic Analysis for Two Time-Scale TDC with General Smooth Function Approximation Yue Wang, Shaofeng Zou, Yi Zhou

NeurIPS 2021 Object DGCNN: 3D Object Detection Using Dynamic Graphs Yue Wang, Justin M Solomon

ICCV 2021 On Feature Decorrelation in Self-Supervised Learning Tianyu Hua, Wenxiao Wang, Zihui Xue, Sucheng Ren, Yue Wang, Hang Zhao

NeurIPS 2021 Online Robust Reinforcement Learning with Model Uncertainty Yue Wang, Shaofeng Zou

NeurIPS 2021 R-Drop: Regularized Dropout for Neural Networks Xiaobo Liang, Lijun Wu, Juntao Li, Yue Wang, Qi Meng, Tao Qin, Wei Chen, Min Zhang, Tie-Yan Liu

ICCV 2021 SACoD: Sensor Algorithm Co-Design Towards Efficient CNN-Powered Intelligent PhlatCam Yonggan Fu, Yang Zhang, Yue Wang, Zhihan Lu, Vivek Boominathan, Ashok Veeraraghavan, Yingyan Lin

IJCAI 2020 A Quantum-Inspired Entropic Kernel for Multiple Financial Time Series Analysis Lu Bai, Lixin Cui, Yue Wang, Yuhang Jiao, Edwin R. Hancock

AISTATS 2020 Causal Inference in Degenerate Systems: An Impossibility Result Yue Wang, Linbo Wang

AAAI 2020 Consistent Video Style Transfer via Compound Regularization Wenjing Wang, Jizheng Xu, Li Zhang, Yue Wang, Jiaying Liu

CoRL 2020 Deep Phase Correlation for End-to-End Heterogeneous Sensor Measurements Matching Zexi Chen, Xuecheng Xu, Yue Wang, Rong Xiong

ICLR 2020 Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks Haoran You, Chaojian Li, Pengfei Xu, Yonggan Fu, Yue Wang, Xiaohan Chen, Richard G. Baraniuk, Zhangyang Wang, Yingyan Lin

UAI 2020 Finite-Sample Analysis of Greedy-GQ with Linear Function Approximation Under Markovian Noise Yue Wang, Shaofeng Zou

NeurIPS 2020 FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training Yonggan Fu, Haoran You, Yang Zhao, Yue Wang, Chaojian Li, Kailash Gopalakrishnan, Zhangyang Wang, Yingyan Lin

AAAI 2020 Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference Jianghao Shen, Yue Wang, Pengfei Xu, Yonggan Fu, Zhangyang Wang, Yingyan Lin

ECCV 2020 Pillar-Based Object Detection for Autonomous Driving Yue Wang, Alireza Fathi, Abhijit Kundu, David A. Ross, Caroline Pantofaru, Tom Funkhouser, Justin Solomon

WACV 2020 PointGrow: Autoregressively Learned Point Cloud Generation with Self-Attention Yongbin Sun, Yue Wang, Ziwei Liu, Joshua Siegel, Sanjay Sarma

ECCV 2020 Rethinking Few-Shot Image Classification: A Good Embedding Is All You Need? Yonglong Tian, Yue Wang, Dilip Krishnan, Joshua B. Tenenbaum, Phillip Isola

NeurIPS 2019 E2-Train: Training State-of-the-Art CNNs with over 80% Energy Savings Yue Wang, Ziyu Jiang, Xiaohan Chen, Pengfei Xu, Yang Zhao, Yingyan Lin, Zhangyang Wang

NeurIPS 2019 PRNet: Self-Supervised Learning for Partial-to-Partial Registration Yue Wang, Justin M Solomon

IJCAI 2018 Code Completion with Neural Attention and Pointer Networks Jian Li, Yue Wang, Michael R. Lyu, Irwin King

ICML 2018 Deep K-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions Junru Wu, Yue Wang, Zhenyu Wu, Zhangyang Wang, Ashok Veeraraghavan, Yingyan Lin

NeurIPS 2017 Finite Sample Analysis of the GTD Policy Evaluation Algorithms in Markov Setting Yue Wang, Wei Chen, Yuting Liu, Zhi-Ming Ma, Tie-Yan Liu

AAAI 2017 Generalization Error Bounds for Optimization Algorithms via Stability Qi Meng, Yue Wang, Wei Chen, Taifeng Wang, Zhiming Ma, Tie-Yan Liu

AAAI 2016 Differential Privacy Preservation for Deep Auto-Encoders: An Application of Human Behavior Prediction NhatHai Phan, Yue Wang, Xintao Wu, Dejing Dou

NeurIPS 2016 Graphical Time Warping for Joint Alignment of Multiple Curves Yizhi Wang, David J. Miller, Kira Poskanzer, Yue Wang, Lin Tian, Guoqiang Yu

IJCAI 2015 Regression Model Fitting Under Differential Privacy and Model Inversion Attack Yue Wang, Cheng Si, Xintao Wu

ICLR 2014 Image Representation Learning Using Graph Regularized Auto-Encoders Yiyi Liao, Yue Wang, Yong Liu

MLOSS 2013 The CAM Software for Nonnegative Blind Source Separation in R-Java Niya Wang, Fan Meng, Li Chen, Subha Madhavan, Robert Clarke, Eric P. Hoffman, Jianhua Xuan, Yue Wang

CVPRW 2012 Object Localization in Medical Images Based on Graphical Model with Contrast and Interest-Region Terms Yang Song, Weidong Cai, Heng Huang, Yue Wang, David Dagan Feng

JMLR 2010 Matched Gene Selection and Committee Classifier for Molecular Classification of Heterogeneous Diseases Guoqiang Yu, Yuanjian Feng, David J. Miller, Jianhua Xuan, Eric P. Hoffman, Robert Clarke, Ben Davidson, Ie-Ming Shih, Yue Wang