Wu, Yue

111 publications

ICLR 2025 A Common Pitfall of Margin-Based Language Model Alignment: Gradient Entanglement Hui Yuan, Yifan Zeng, Yue Wu, Huazheng Wang, Mengdi Wang, Liu Leqi

AAAI 2025 AdvDisplay: Adversarial Display Assembled by Thermoelectric Cooler for Fooling Thermal Infrared Detectors Hao Li, Fanggao Wan, Yue Su, Yue Wu, Mingyang Zhang, Maoguo Gong

ICML 2025 Beyond Bradley-Terry Models: A General Preference Model for Language Model Alignment Yifan Zhang, Ge Zhang, Yue Wu, Kangping Xu, Quanquan Gu

ICLRW 2025 Beyond Bradley-Terry Models: A General Preference Model for Language Model Alignment Yifan Zhang, Ge Zhang, Yue Wu, Kangping Xu, Quanquan Gu

AAAI 2025 Both Supply and Precision: Sample Debias and Ranking Consistency Joint Learning for Large Scale Pre-Ranking System Feng Gao, Xin Zhou, Yinning Shao, Yue Wu, Jiahua Gao, Yujian Ren, Fengyang Qi, Ruochen Deng, Jie Liu

NeurIPS 2025 DISC: Dynamic Decomposition Improves LLM Inference Scaling Jonathan Light, Wei Cheng, Benjamin Riviere, Yue Wu, Masafumi Oyamada, Mengdi Wang, Yisong Yue, Santiago Paternain, Haifeng Chen

ICLRW 2025 DISC: Dynamic Decomposition Improves LLM Inference Scaling Jonathan Light, Wei Cheng, Yue Wu, Masafumi Oyamada, Mengdi Wang, Santiago Paternain, Haifeng Chen

CVPR 2025 Disentangled Pose and Appearance Guidance for Multi-Pose Generation Tengfei Xiao, Yue Wu, Yuelong Li, Can Qin, Maoguo Gong, Qiguang Miao, Wenping Ma

NeurIPS 2025 Dynamic Masking and Auxiliary Hash Learning for Enhanced Cross-Modal Retrieval Shuang Zhang, Yue Wu, Lei Shi, Yingxue Zhang, Feifei Kou, Huilong Jin, Pengfei Zhang, Meiyu Liang, Mingying Xu

NeurIPS 2025 FedQS: Optimizing Gradient and Model Aggregation for Semi-Asynchronous Federated Learning Yunbo Li, Jiaping Gui, Zhihang Deng, Fanchao Meng, Yue Wu

CoRL 2025 Granular Loco-Manipulation: Repositioning Rocks Through Strategic Sand Avalanche Haodi Hu, Yue Wu, Daniel Seita, Feifei Qian

LoG 2025 Hyperbolic Kernel Convolution: A Generic Framework Eric Qu, Lige Zhang, Habib Debaya, Yue Wu, Dongmian Zou

AAAI 2025 Infer Human's Intentions Before Following Natural Language Instructions Yanming Wan, Yue Wu, Yiping Wang, Jiayuan Mao, Natasha Jaques

COLT 2025 Instance-Dependent Regret Bounds for Learning Two-Player Zero-Sum Games with Bandit Feedback Shinji Ito, Haipeng Luo, Taira Tsuchiya, Yue Wu

NeurIPS 2025 Knowledge-Based Visual Question Answer with Multimodal Processing, Retrieval and Filtering Yuyang Hong, Jiaqi Gu, Qi Yang, Lubin Fan, Yue Wu, Ying Wang, Kun Ding, Shiming Xiang, Jieping Ye

ICLR 2025 Learning Fine-Grained Representations Through Textual Token Disentanglement in Composed Video Retrieval Yue Wu, Zhaobo Qi, Yiling Wu, Junshu Sun, Yaowei Wang, Shuhui Wang

ICLRW 2025 MATH-Perturb: Benchmarking LLMs' Math Reasoning Abilities Against Hard Perturbations Kaixuan Huang, Jiacheng Guo, Zihao Li, Xiang Ji, Jiawei Ge, Wenzhe Li, Yingqing Guo, Tianle Cai, Hui Yuan, Runzhe Wang, Yue Wu, Ming Yin, Shange Tang, Yangsibo Huang, Chi Jin, Xinyun Chen, Chiyuan Zhang, Mengdi Wang

ICML 2025 MATH-Perturb: Benchmarking LLMs’ Math Reasoning Abilities Against Hard Perturbations Kaixuan Huang, Jiacheng Guo, Zihao Li, Xiang Ji, Jiawei Ge, Wenzhe Li, Yingqing Guo, Tianle Cai, Hui Yuan, Runzhe Wang, Yue Wu, Ming Yin, Shange Tang, Yangsibo Huang, Chi Jin, Xinyun Chen, Chiyuan Zhang, Mengdi Wang

AAAI 2025 MUCD: Unsupervised Point Cloud Change Detection via Masked Consistency Yue Wu, Zhipeng Wang, Yongzhe Yuan, Maoguo Gong, Hao Li, Mingyang Zhang, Wenping Ma, Qiguang Miao

AAAI 2025 Partial Point Cloud Registration with Multi-View 2D Image Learning Yue Zhang, Yue Wu, Wenping Ma, Maoguo Gong, Hao Li, Biao Hou

NeurIPS 2025 PointTruss: K-Truss for Point Cloud Registration Yue Wu, Jun Jiang, Yongzhe Yuan, Maoguo Gong, Qiguang Miao, Hao Li, Mingyang Zhang, Wenping Ma

ICML 2025 ROPO: Robust Preference Optimization for Large Language Models Xize Liang, Chao Chen, Shuang Qiu, Jie Wang, Yue Wu, Zhihang Fu, Hanzhu Chen, Feng Wu, Jieping Ye

ICML 2025 Ranking with Multiple Oracles: From Weak to Strong Stochastic Transitivity Tao Jin, Yue Wu, Quanquan Gu, Farzad Farnoud

NeurIPS 2025 SD-VLM: Spatial Measuring and Understanding with Depth-Encoded Vision-Language Models Pingyi Chen, Yujing Lou, Shen Cao, Jinhui Guo, Lubin Fan, Yue Wu, Lin Yang, Lizhuang Ma, Jieping Ye

ICLR 2025 SFS: Smarter Code Space Search Improves LLM Inference Scaling Jonathan Light, Yue Wu, Yiyou Sun, Wenchao Yu, Yanchi Liu, Xujiang Zhao, Ziniu Hu, Haifeng Chen, Wei Cheng

ICLR 2025 Self-Play Preference Optimization for Language Model Alignment Yue Wu, Zhiqing Sun, Huizhuo Yuan, Kaixuan Ji, Yiming Yang, Quanquan Gu

CVPR 2025 T2V-CompBench: A Comprehensive Benchmark for Compositional Text-to-Video Generation Kaiyue Sun, Kaiyi Huang, Xian Liu, Yue Wu, Zihan Xu, Zhenguo Li, Xihui Liu

ICLRW 2025 Temporal Consistency for LLM Reasoning Process Error Identification Jiacheng Guo, Yue Wu, Jiahao Qiu, Kaixuan Huang, Xinzhe Juan, Ling Yang, Mengdi Wang

ICCV 2025 VRBench: A Benchmark for Multi-Step Reasoning in Long Narrative Videos Jiashuo Yu, Yue Wu, Meng Chu, Zhifei Ren, Zizheng Huang, Pei Chu, Ruijie Zhang, Yinan He, Qirui Li, Songze Li, Zhenxiang Li, Zhongying Tu, Conghui He, Yu Qiao, Yali Wang, Yi Wang, Limin Wang

CVPR 2025 Video Language Model Pretraining with Spatio-Temporal Masking Yue Wu, Zhaobo Qi, Junshu Sun, Yaowei Wang, Qingming Huang, Shuhui Wang

AAAI 2025 Where Precision Meets Efficiency: Transformation Diffusion Model for Point Cloud Registration Yongzhe Yuan, Yue Wu, Xiaolong Fan, Maoguo Gong, Qiguang Miao, Wenping Ma

NeurIPSW 2024 A Common Pitfall of Margin-Based Language Model Alignment: Gradient Entanglement Hui Yuan, Yifan Zeng, Yue Wu, Huazheng Wang, Mengdi Wang, Liu Leqi

CVPR 2024 Automatic Controllable Colorization via Imagination Xiaoyan Cong, Yue Wu, Qifeng Chen, Chenyang Lei

ICLR 2024 Boosting Vanilla Lightweight Vision Transformers via Re-Parameterization Zhentao Tan, Xiaodan Li, Yue Wu, Qi Chu, Le Lu, Nenghai Yu, Jieping Ye

ICML 2024 Borda Regret Minimization for Generalized Linear Dueling Bandits Yue Wu, Tao Jin, Qiwei Di, Hao Lou, Farzad Farnoud, Quanquan Gu

ICLR 2024 DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text Xianjun Yang, Wei Cheng, Yue Wu, Linda Ruth Petzold, William Yang Wang, Haifeng Chen

NeurIPS 2024 Delving into the Reversal Curse: How Far Can Large Language Models Generalize? Zhengkai Lin, Zhihang Fu, Kai Liu, Liang Xie, Binbin Lin, Wenxiao Wang, Deng Cai, Yue Wu, Jieping Ye

WACV 2024 Describe Images in a Boring Way: Towards Cross-Modal Sarcasm Generation Jie Ruan, Yue Wu, Xiaojun Wan, Yuesheng Zhu

NeurIPS 2024 Enhancing LLM’s Cognition via Structurization Kai Liu, Zhihang Fu, Chao Chen, Wei Zhang, Rongxin Jiang, Fan Zhou, Yaowu Chen, Yue Wu, Jieping Ye

ECCV 2024 Fast Training of Diffusion Transformer with Extreme Masking for 3D Point Clouds Generation Shentong Mo, Enze Xie, Yue Wu, Junsong Chen, Matthias Niessner, Zhenguo Li

ECCV 2024 HVCLIP: High-Dimensional Vector in CLIP for Unsupervised Domain Adaptation Noranart Vesdapunt, Kah Kuen Fu, Yue Wu, Xu Zhang, Pradeep Natarajan

ICLR 2024 INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection Chao Chen, Kai Liu, Ze Chen, Yi Gu, Yue Wu, Mingyuan Tao, Zhihang Fu, Jieping Ye

NeurIPSW 2024 Infer Human’s Intentions Before Following Natural Language Instructions Yanming Wan, Yue Wu, Yiping Wang, Jiayuan Mao, Natasha Jaques

CVPR 2024 Inlier Confidence Calibration for Point Cloud Registration Yongzhe Yuan, Yue Wu, Xiaolong Fan, Maoguo Gong, Qiguang Miao, Wenping Ma

AAAI 2024 M3SOT: Multi-Frame, Multi-Field, Multi-Space 3D Single Object Tracking Jiaming Liu, Yue Wu, Maoguo Gong, Qiguang Miao, Wenping Ma, Cai Xu, Can Qin

TMLR 2024 MoMA: Model-Based Mirror Ascent for Offline Reinforcement Learning Mao Hong, Zhiyue Zhang, Yue Wu, Yanxun Xu

AAAI 2024 Neural Gaussian Similarity Modeling for Differential Graph Structure Learning Xiaolong Fan, Maoguo Gong, Yue Wu, Zedong Tang, Jieyi Liu

ECCV 2024 PixArt-Sigma: Weak-to-Strong Training of Diffusion Transformer for 4k Text-to-Image Generation Junsong Chen, Chongjian Ge, Enze Xie, Yue Wu, Lewei Yao, Xiaozhe Ren, Zhongdao Wang, Ping Luo, Huchuan Lu, Zhenguo Li

ICML 2024 PointMC: Multi-Instance Point Cloud Registration Based on Maximal Cliques Yue Wu, Xidao Hu, Yongzhe Yuan, Xiaolong Fan, Maoguo Gong, Hao Li, Mingyang Zhang, Qiguang Miao, Wenping Ma

ICML 2024 Protein Conformation Generation via Force-Guided SE(3) Diffusion Models Yan Wang, Lihao Wang, Yuning Shen, Yiqun Wang, Huizhuo Yuan, Yue Wu, Quanquan Gu

AAAI 2024 Reliable Conflictive Multi-View Learning Cai Xu, Jiajun Si, Ziyu Guan, Wei Zhao, Yue Wu, Xiyue Gao

ICMLW 2024 Self-Play Preference Optimization for Language Model Alignment Yue Wu, Zhiqing Sun, Huizhuo Yuan, Kaixuan Ji, Yiming Yang, Quanquan Gu

NeurIPSW 2024 Self-Play Preference Optimization for Language Model Alignment Yue Wu, Zhiqing Sun, Huizhuo Yuan, Kaixuan Ji, Yiming Yang, Quanquan Gu

CVPR 2024 SimAC: A Simple Anti-Customization Method for Protecting Face Privacy Against Text-to-Image Synthesis of Diffusion Models Feifei Wang, Zhentao Tan, Tianyi Wei, Yue Wu, Qidong Huang

ICLR 2024 SmartPlay : A Benchmark for LLMs as Intelligent Agents Yue Wu, Xuan Tang, Tom Mitchell, Yuanzhi Li

AAAI 2024 TCI-Former: Thermal Conduction-Inspired Transformer for Infrared Small Target Detection Tianxiang Chen, Zhentao Tan, Qi Chu, Yue Wu, Bin Liu, Nenghai Yu

ICLR 2024 Variance-Aware Regret Bounds for Stochastic Contextual Dueling Bandits Qiwei Di, Tao Jin, Yue Wu, Heyang Zhao, Farzad Farnoud, Quanquan Gu

ICLR 2023 Avoiding Spurious Correlations via Logit Correction Sheng Liu, Xu Zhang, Nitesh Sekhar, Yue Wu, Prateek Singhal, Carlos Fernandez-Granda

ICMLW 2023 Borda Regret Minimization for Generalized Linear Dueling Bandits Yue Wu, Tao Jin, Qiwei Di, Hao Lou, Farzad Farnoud, Quanquan Gu

ICCV 2023 FashionNTM: Multi-Turn Fashion Image Retrieval via Cascaded Memory Anwesan Pal, Sahil Wadhwa, Ayush Jaiswal, Xu Zhang, Yue Wu, Rakesh Chada, Pradeep Natarajan, Henrik I. Christensen

ICML 2023 Graph Generative Model for Benchmarking Graph Neural Networks Minji Yoon, Yue Wu, John Palowitch, Bryan Perozzi, Russ Salakhutdinov

ICML 2023 Personalized Federated Learning Under Mixture of Distributions Yue Wu, Shuaicheng Zhang, Wenchao Yu, Yanchi Liu, Quanquan Gu, Dawei Zhou, Haifeng Chen, Wei Cheng

ICCV 2023 Prompt-Aligned Gradient for Prompt Tuning Beier Zhu, Yulei Niu, Yucheng Han, Yue Wu, Hanwang Zhang

NeurIPS 2023 Read and Reap the Rewards: Learning to Play Atari with the Help of Instruction Manuals Yue Wu, Yewen Fan, Paul Pu Liang, Amos Azaria, Yuanzhi Li, Tom M. Mitchell

ICLRW 2023 Read and Reap the Rewards: Learning to Play Atari with the Help of Instruction Manuals Yue Wu, Yewen Fan, Paul Pu Liang, Amos Azaria, Yuanzhi Li, Tom Mitchell

NeurIPS 2023 SPRING: Studying Papers and Reasoning to Play Games Yue Wu, So Yeon Min, Shrimai Prabhumoye, Yonatan Bisk, Ruslan Salakhutdinov, Amos Azaria, Tom M. Mitchell, Yuanzhi Li

NeurIPSW 2023 SmartPlay : A Benchmark for LLMs as Intelligent Agents Yue Wu, Xuan Tang, Tom Mitchell, Yuanzhi Li

UAI 2023 Uniform-PAC Guarantees for Model-Based RL with Bounded Eluder Dimension Yue Wu, Jiafan He, Quanquan Gu

AAAI 2023 User-Controllable Arbitrary Style Transfer via Entropy Regularization Jiaxin Cheng, Yue Wu, Ayush Jaiswal, Xu Zhang, Pradeep Natarajan, Prem Natarajan

AISTATS 2022 Adaptive Sampling for Heterogeneous Rank Aggregation from Noisy Pairwise Comparisons Yue Wu, Tao Jin, Hao Lou, Pan Xu, Farzad Farnoud, Quanquan Gu

AISTATS 2022 Nearly Minimax Optimal Regret for Learning Infinite-Horizon Average-Reward MDPs with Linear Function Approximation Yue Wu, Dongruo Zhou, Quanquan Gu

NeurIPS 2022 Active Ranking Without Strong Stochastic Transitivity Hao Lou, Tao Jin, Yue Wu, Pan Xu, Quanquan Gu, Farzad Farnoud

NeurIPS 2022 AniFaceGAN: Animatable 3D-Aware Face Image Generation for Video Avatars Yue Wu, Yu Deng, Jiaolong Yang, Fangyun Wei, Qifeng Chen, Xin Tong

CVPRW 2022 Communication-Efficient Federated Data Augmentation on Non-IID Data Hui Wen, Yue Wu, Jingjing Li, Hancong Duan

CVPR 2022 FashionVLP: Vision Language Transformer for Fashion Retrieval with Feedback Sonam Goenka, Zhaoheng Zheng, Ayush Jaiswal, Rakesh Chada, Yue Wu, Varsha Hedau, Pradeep Natarajan

CVPRW 2022 One-Stage Object Referring with Gaze Estimation Jianhang Chen, Xu Zhang, Yue Wu, Shalini Ghosh, Pradeep Natarajan, Shih-Fu Chang, Jan P. Allebach

CVPR 2022 Optimizing Video Prediction via Video Frame Interpolation Yue Wu, Qiang Wen, Qifeng Chen

NeurIPSW 2022 Tackling AlfWorld with Action Attention and Common Sense from Language Models Yue Wu, So Yeon Min, Yonatan Bisk, Ruslan Salakhutdinov, Shrimai Prabhumoye

NeurIPS 2022 Towards Understanding the Mixture-of-Experts Layer in Deep Learning Zixiang Chen, Yihe Deng, Yue Wu, Quanquan Gu, Yuanzhi Li

WACV 2021 Class-Agnostic Object Detection Ayush Jaiswal, Yue Wu, Pradeep Natarajan, Premkumar Natarajan

CoRL 2021 Demonstration-Guided Reinforcement Learning with Learned Skills Karl Pertsch, Youngwoon Lee, Yue Wu, Joseph J Lim

ICCV 2021 Embedding Novel Views in a Single JPEG Image Yue Wu, Guotao Meng, Qifeng Chen

CVPR 2021 SKFAC: Training Neural Networks with Faster Kronecker-Factored Approximate Curvature Zedong Tang, Fenlong Jiang, Maoguo Gong, Hao Li, Yue Wu, Fan Yu, Zidong Wang, Min Wang

ICLR 2021 Self-Supervised Learning from a Multi-View Perspective Yao-Hung Hubert Tsai, Yue Wu, Ruslan Salakhutdinov, Louis-Philippe Morency

CVPR 2021 Style-Aware Normalized Loss for Improving Arbitrary Style Transfer Jiaxin Cheng, Ayush Jaiswal, Yue Wu, Pradeep Natarajan, Prem Natarajan

IJCAI 2021 Towards Understanding the Spectral Bias of Deep Learning Yuan Cao, Zhiying Fang, Yue Wu, Ding-Xuan Zhou, Quanquan Gu

ICML 2021 Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning Yue Wu, Shuangfei Zhai, Nitish Srivastava, Joshua M Susskind, Jian Zhang, Ruslan Salakhutdinov, Hanlin Goh

CVPRW 2020 Color-Constrained Dehazing Model Shengdong Zhang, Yue Wu, Yuanjie Zhao, Zuomin Cheng, Wenqi Ren

NeurIPS 2020 Improving GAN Training with Probability Ratio Clipping and Sample Reweighting Yue Wu, Pan Zhou, Andrew G Wilson, Eric P. Xing, Zhiting Hu

WACV 2019 VelocityGAN: Subsurface Velocity Image Estimation Using Conditional Adversarial Networks Zhongping Zhang, Yue Wu, Zheng Zhou, Youzuo Lin

ECCV 2018 BusterNet: Detecting Copy-Move Image Forgery with Source/Target Localization Yue Wu, Wael Abd-Almageed, Prem Natarajan

ECCVW 2018 CapsuleGAN: Generative Adversarial Capsule Network Ayush Jaiswal, Wael AbdAlmageed, Yue Wu, Premkumar Natarajan

IJCAI 2018 Feature Hashing for Network Representation Learning Qixiang Wang, Shanfeng Wang, Maoguo Gong, Yue Wu

WACV 2018 Image Copy-Move Forgery Detection via an End-to-End Deep Neural Network Yue Wu, Wael Abd-Almageed, Prem Natarajan

NeurIPS 2018 Towards Understanding Learning Representations: To What Extent Do Different Neural Networks Learn the Same Representation Liwei Wang, Lunjia Hu, Jiayuan Gu, Zhiqiang Hu, Yue Wu, Kun He, John Hopcroft

ICCVW 2017 Low-Shot Face Recognition with Hybrid Classifiers Yue Wu, Hongfu Liu, Yun Fu

ICCV 2017 Self-Organized Text Detection with Minimal Post-Processing via Border Learning Yue Wu, Prem Natarajan

CVPR 2017 Simultaneous Facial Landmark Detection, Pose and Deformation Estimation Under Facial Occlusion Yue Wu, Chao Gou, Qiang Ji

CVPR 2016 Constrained Deep Transfer Feature Learning and Its Applications Yue Wu, Qiang Ji

CVPR 2016 Constrained Joint Cascade Regression Framework for Simultaneous Facial Action Unit Recognition and Facial Landmark Detection Yue Wu, Qiang Ji

WACV 2016 Face Recognition Using Deep Multi-Pose Representations Wael Abd-Almageed, Yue Wu, Stephen Rawls, Shai Harel, Tal Hassner, Iacopo Masi, Jongmoo Choi, Jatuporn Toy Leksut, Jungyeon Kim, Prem Natarajan, Ram Nevatia, Gérard G. Medioni

CVPR 2016 Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis Zheng Zhang, Jeff M. Girard, Yue Wu, Xing Zhang, Peng Liu, Umur Ciftci, Shaun Canavan, Michael Reale, Andy Horowitz, Huiyuan Yang, Jeffrey F. Cohn, Qiang Ji, Lijun Yin

ECCV 2016 Shape Augmented Regression for 3D Face Alignment Chao Gou, Yue Wu, Fei-Yue Wang, Qiang Ji

ECCVW 2016 Shape Augmented Regression for 3D Face Alignment Chao Gou, Yue Wu, Fei-Yue Wang, Qiang Ji

ICCV 2015 Relaxing from Vocabulary: Robust Weakly-Supervised Deep Learning for Vocabulary-Free Image Tagging Jianlong Fu, Yue Wu, Tao Mei, Jinqiao Wang, Hanqing Lu, Yong Rui

ICCV 2015 Robust Facial Landmark Detection Under Significant Head Poses and Occlusion Yue Wu, Qiang Ji

ICCVW 2015 Shape Augmented Regression Method for Face Alignment Yue Wu, Qiang Ji

CVPR 2014 A Hierarchical Probabilistic Model for Facial Feature Detection Yue Wu, Ziheng Wang, Qiang Ji

NeurIPS 2014 Gaussian Process Volatility Model Yue Wu, José Miguel Hernández-Lobato, Zoubin Ghahramani

ICML 2013 Dynamic Covariance Models for Multivariate Financial Time Series Yue Wu, Jose Miguel Hernandez-Lobato, Ghahramani Zoubin

CVPR 2013 Facial Feature Tracking Under Varying Facial Expressions and Face Poses Based on Restricted Boltzmann Machines Yue Wu, Zuoguan Wang, Qiang Ji