ML Anthology

Yang, Jing

60 publications

AISTATS 2025 A Shared Low-Rank Adaptation Approach to Personalized RLHF Renpu Liu, Peng Wang, Donghao Li, Cong Shen, Jing Yang
UAI 2025 Augmenting Online RL with Offline Data Is All You Need: A Unified Hybrid RL Algorithm Design and Analysis Ruiquan Huang, Donghao Li, Chengshuai Shi, Cong Shen, Jing Yang
ICLR 2025 Data-Adaptive Differentially Private Prompt Synthesis for In-Context Learning Fengyu Gao, Ruida Zhou, Tianhao Wang, Cong Shen, Jing Yang
CVPR 2025 Exploiting Temporal State Space Sharing for Video Semantic Segmentation Syed Ariff Syed Hesham, Yun Liu, Guolei Sun, Henghui Ding, Jing Yang, Ender Konukoglu, Xue Geng, Xudong Jiang
ICML 2025 Fixing the Double Penalty in Data-Driven Weather Forecasting Through a Modified Spherical Harmonic Loss Function Christopher Subich, Syed Zahid Husain, Leo Separovic, Jing Yang
ICLR 2025 Gaussian Head & Shoulders: High Fidelity Neural Upper Body Avatars with Anchor Gaussian Guided Texture Warping Tianhao Walter Wu, Jing Yang, Zhilin Guo, Jingyi Wan, Fangcheng Zhong, Cengiz Oztireli
NeurIPS 2025 Greedy Sampling Is Provably Efficient for RLHF Di Wu, Chengshuai Shi, Jing Yang, Cong Shen
ICCV 2025 HUST: High-Fidelity Unbiased Skin Tone Estimation via Texture Quantization Zimin Ran, Xingyu Ren, Xiang An, Kaicheng Yang, Ziyong Feng, Jing Yang, Rolandos Alexandros Potamias, Linchao Zhu, Jiankang Deng
ICML 2025 How Transformers Learn Regular Language Recognition: A Theoretical Study on Training Dynamics and Implicit Bias Ruiquan Huang, Yingbin Liang, Jing Yang
WACV 2025 Localized Gaussian Splatting Editing with Contextual Awareness Hanyuan Xiao, Yingshu Chen, Huajian Huang, Haolin Xiong, Jing Yang, Pratusha Prasad, Yajie Zhao
ICLR 2025 MGMapNet: Multi-Granularity Representation Learning for End-to-End Vectorized HD mAP Construction Jing Yang, Minyue Jiang, Sen Yang, Xiao Tan, Yingying Li, Errui Ding, Jingdong Wang, Hanli Wang
ICLR 2025 On the Learn-to-Optimize Capabilities of Transformers in In-Context Sparse Recovery Renpu Liu, Ruida Zhou, Cong Shen, Jing Yang
ICML 2025 On the Training Convergence of Transformers for In-Context Classification of Gaussian Mixtures Wei Shen, Ruida Zhou, Jing Yang, Cong Shen
ICML 2025 Position: The Artificial Intelligence and Machine Learning Community Should Adopt a More Transparent and Regulated Peer Review Process Jing Yang
ICCV 2025 Pretrained Reversible Generation as Unsupervised Visual Representation Learning Rongkun Xue, Jinouwen Zhang, Yazhe Niu, Dazhong Shen, Bingqi Ma, Yu Liu, Jing Yang
ICCV 2025 Uncover Treasures in DCT: Advancing JPEG Quality Enhancement by Exploiting Latent Correlations Jing Yang, Qunliang Xing, Mai Xu, Minglang Qiao
NeurIPS 2025 Unlabeled Data Can Provably Enhance In-Context Learning of Transformers Renpu Liu, Jing Yang
CVPR 2024 DiffPortrait3D: Controllable Diffusion for Zero-Shot Portrait View Synthesis Yuming Gu, Hongyi Xu, You Xie, Guoxian Song, Yichun Shi, Di Chang, Jing Yang, Linjie Luo
NeurIPS 2024 Efficient Prompt Optimization Through the Lens of Best Arm Identification Chengshuai Shi, Kun Yang, Zihan Chen, Jundong Li, Jing Yang, Cong Shen
NeurIPS 2024 Federated Online Prediction from Experts with Differential Privacy: Separations and Regret Speed-Ups Fengyu Gao, Ruiquan Huang, Jing Yang
ICLR 2024 Federated Q-Learning: Linear Regret Speedup with Low Communication Cost Zhong Zheng, Fengyu Gao, Lingzhou Xue, Jing Yang
ICML 2024 Federated Representation Learning in the Under-Parameterized Regime Renpu Liu, Cong Shen, Jing Yang
ICML 2024 Improving Sample Efficiency of Model-Free Algorithms for Zero-Sum Markov Games Songtao Feng, Ming Yin, Yu-Xiang Wang, Jing Yang, Yingbin Liang
NeurIPS 2024 Non-Asymptotic Convergence of Training Transformers for Next-Token Prediction Ruiquan Huang, Yingbin Liang, Jing Yang
AAAI 2024 PMET: Precise Model Editing in a Transformer Xiaopeng Li, Shasha Li, Shezheng Song, Jing Yang, Jun Ma, Jie Yu
ICLR 2024 Provable Benefits of Multi-Task RL Under Non-Markovian Decision Making Processes Ruiquan Huang, Yuan Cheng, Jing Yang, Vincent Tan, Yingbin Liang
ICLR 2024 Provably Efficient UCB-Type Algorithms for Learning Predictive State Representations Ruiquan Huang, Yingbin Liang, Jing Yang
ECCVW 2024 Talk to Parallel LiDARs: A Human-LiDAR Interaction Method Based on 3D Visual Grounding Yuhang Liu, Boyi Sun, Yishuo Wang, Jing Yang, Xingxia Wang, Fei-Yue Wang
NeurIPS 2024 Transformers as Game Players: Provable In-Context Game-Playing Capabilities of Pre-Trained Models Chengshuai Shi, Kun Yang, Jing Yang, Cong Shen
ICCV 2023 ALIP: Adaptive Language-Image Pre-Training with Synthetic Caption Kaicheng Yang, Jiankang Deng, Xiang An, Jiawei Li, Ziyong Feng, Jia Guo, Jing Yang, Tongliang Liu
WACV 2023 FAN-Trans: Online Knowledge Distillation for Facial Action Unit Detection Jing Yang, Jie Shen, Yiming Lin, Yordan Hristov, Maja Pantic
ICML 2023 Federated Linear Contextual Bandits with User-Level Differential Privacy Ruiquan Huang, Huanyu Zhang, Luca Melis, Milan Shen, Meisam Hejazinia, Jing Yang
ICLR 2023 Improved Sample Complexity for Reward-Free Reinforcement Learning Under Low-Rank MDPs Yuan Cheng, Ruiquan Huang, Yingbin Liang, Jing Yang
ICLR 2023 Light Sampling Field and BRDF Representation for Physically-Based Neural Rendering Jing Yang, Hanyuan Xiao, Wenbin Teng, Yunxuan Cai, Yajie Zhao
ICML 2023 Near-Optimal Conservative Exploration in Reinforcement Learning Under Episode-Wise Constraints Donghao Li, Ruiquan Huang, Cong Shen, Jing Yang
ICML 2023 Non-Stationary Reinforcement Learning Under General Function Approximation Songtao Feng, Ming Yin, Ruiquan Huang, Yu-Xiang Wang, Jing Yang, Yingbin Liang
NeurIPS 2023 Provably Efficient Algorithm for Nonstationary Low-Rank MDPs Yuan Cheng, Jing Yang, Yingbin Liang
ICML 2023 Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources Chengshuai Shi, Wei Xiong, Cong Shen, Jing Yang
ICLR 2023 Safe Exploration Incurs Nearly No Additional Sample Complexity for Reward-Free RL Ruiquan Huang, Jing Yang, Yingbin Liang
ICLR 2023 Unicom: Universal and Compact Representation Learning for Image Retrieval Xiang An, Jiankang Deng, Kaicheng Yang, Jaiwei Li, Ziyong Feng, Jia Guo, Jing Yang, Tongliang Liu
AAAI 2022 Feature Generation and Hypothesis Verification for Reliable Face Anti-Spoofing Shice Liu, Shitao Lu, Hongyi Xu, Jing Yang, Shouhong Ding, Lizhuang Ma
CVPR 2022 Killing Two Birds with One Stone: Efficient and Robust Training of Face Recognition CNNs by Partial FC Xiang An, Jiankang Deng, Jia Guo, Ziyong Feng, XuHan Zhu, Jing Yang, Tongliang Liu
ECCV 2022 Pre-Training Strategies and Datasets for Facial Representation Learning Adrian Bulat, Shiyang Cheng, Jing Yang, Andrew Garbett, Enrique Sanchez, Georgios Tzimiropoulos
NeurIPS 2022 Provable Benefit of Multitask Representation Learning in Reinforcement Learning Yuan Cheng, Songtao Feng, Jing Yang, Hong Zhang, Yingbin Liang
AISTATS 2021 Federated Multi-Armed Bandits with Personalization Chengshuai Shi, Cong Shen, Jing Yang
NeurIPS 2021 Federated Linear Contextual Bandits Ruiquan Huang, Weiqiang Wu, Jing Yang, Cong Shen
NeurIPS 2021 Heterogeneous Multi-Player Multi-Armed Bandits: Closing the Gap and Generalization Chengshuai Shi, Wei Xiong, Cong Shen, Jing Yang
ICLR 2021 Knowledge Distillation via SoftMax Regression Representation Learning Jing Yang, Brais Martinez, Adrian Bulat, Georgios Tzimiropoulos
AAAI 2021 Looking Wider for Better Adaptive Representation in Few-Shot Learning Jiabao Zhao, Yifan Yang, Xin Lin, Jing Yang, Liang He
CVPR 2021 Variational Prototype Learning for Deep Face Recognition Jiankang Deng, Jia Guo, Jing Yang, Alexandros Lattas, Stefanos Zafeiriou
AAAI 2020 CF-LSTM: Cascaded Feature-Based Long Short-Term Networks for Predicting Pedestrian Trajectory Yi Xu, Jing Yang, Shaoyi Du
AISTATS 2020 Decentralized Multi-Player Multi-Armed Bandits with No Collision Information Chengshuai Shi, Wei Xiong, Cong Shen, Jing Yang
AAAI 2020 FAN-Face: A Simple Orthogonal Improvement to Deep Face Recognition Jing Yang, Adrian Bulat, Georgios Tzimiropoulos
AISTATS 2020 Stochastic Linear Contextual Bandits with Diverse Contexts Weiqiang Wu, Jing Yang, Cong Shen
ICLR 2020 Training Binary Neural Networks with Real-to-Binary Convolutions Brais Martinez, Jing Yang, Adrian Bulat, Georgios Tzimiropoulos
IJCAI 2018 Cost-Aware Cascading Bandits Ruida Zhou, Chao Gan, Jing Yang, Cong Shen
ECCV 2018 To Learn Image Super-Resolution, Use a GAN to Learn How to Do Image Degradation First Adrian Bulat, Jing Yang, Georgios Tzimiropoulos
CVPRW 2017 Stacked Hourglass Network for Robust Facial Landmark Localisation Jing Yang, Qingshan Liu, Kaihua Zhang
ICCVW 2015 Facial Shape Tracking via Spatio-Temporal Cascade Shape Regression Jing Yang, Jiankang Deng, Kaihua Zhang, Qingshan Liu
CVPR 2004 Joint Prior Models of Neighboring Objects for 3D Image Segmentation Jing Yang, James S. Duncan