Junliang Xing

Deep (Predictive) Discounted Counterfactual Regret Minimization AAAI 2026 Do Less, Achieve More: Do We Need Every-Step Optimization for RL Fine-tuning of Diffusion Models? CVPR 2026 GTR-Turbo: Merged Checkpoint is Secretly a Free Teacher for Agentic VLM Training CVPR 2026 MARPO: A Reflective Policy Optimization for Multi-Agent Reinforcement Learning AAAI 2026 Multivariate Diffusion Transformer with Decoupled Attention for High-Fidelity Mask-Text Collaborative Facial Generation AAAI 2026 An Open-Ended Learning Framework for Opponent Modeling AAAI 2025 BodyGen: Advancing Towards Efficient Embodiment Co-Design ICLR 2025 Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning ICLR 2025 Dynamic Dictionary Learning for Remote Sensing Image Segmentation ICCV 2025 Entropy-Adaptive Diffusion Policy Optimization with Dynamic Step Alignment ICCV 2025 Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning ICML 2025 GTR: Guided Thought Reinforcement Prevents Thought Collapse in RL-based VLM Agent Training ICCV 2025 Habitizing Diffusion Planning for Efficient and Effective Decision Making ICML 2025 Minimal Impact ControlNet: Advancing Multi-ControlNet Integration ICLR 2025 Multi-View 3D Human Pose Estimation with Weakly Synchronized Images AAAI 2025 Offline Opponent Modeling with Truncated Q-driven Instant Policy Refinement ICML 2025 Position-Aware Guided Point Cloud Completion with CLIP Model AAAI 2025 StickMotion: Generating 3D Human Motions by Drawing a Stickman CVPR 2025 Advancing Video Synchronization with Fractional Frame Analysis: Introducing a Novel Dataset and Model AAAI 2024 DriveWorld: 4D Pre-trained Scene Understanding via World Models for Autonomous Driving CVPR 2024 Dual Critic Reinforcement Learning under Partial Observability NeurIPS 2024 Dynamic Discounted Counterfactual Regret Minimization ICLR 2024 Efficient Multi-task Reinforcement Learning with Cross-Task Policy Guidance NeurIPS 2024 Inner Classifier-Free Guidance and Its Taylor Expansion for Diffusion Models ICLR 2024 Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent IJCAI 2024 Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing AAAI 2024 Opponent Modeling with In-context Search NeurIPS 2024 PAE: Reinforcement Learning from External Knowledge for Efficient Exploration ICLR 2024 Reflective Policy Optimization ICML 2024 SynSP: Synergy of Smoothness and Precision in Pose Sequences Refinement CVPR 2024 Towards Offline Opponent Modeling with In-context Learning ICLR 2024 Unified Single-Stage Transformer Network for Efficient RGB-T Tracking IJCAI 2024 Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement Learning NeurIPS 2023 SDDM: Score-Decomposed Diffusion Models on Manifolds for Unpaired Image-to-Image Translation ICML 2023 Actor-Critic Policy Optimization in a Large-Scale Imperfect-Information Game ICLR 2022 AlphaHoldem: High-Performance Artificial Intelligence for Heads-Up No-Limit Poker via End-to-End Reinforcement Learning AAAI 2022 AutoCFR: Learning to Design Counterfactual Regret Minimization Algorithms AAAI 2022 Greedy when Sure and Conservative when Uncertain about the Opponents ICML 2022 Exploration via State influence Modeling AAAI 2021 Domain Adaptive Attention Learning for Unsupervised Person Re-Identification AAAI 2020 Hybrid Learning for Multi-agent Cooperation with Sub-optimal Demonstrations IJCAI 2020 PedHunter: Occlusion Robust Pedestrian Detector in Crowded Scenes AAAI 2020 Potential Driven Reinforcement Learning for Hard Exploration Tasks IJCAI 2020 RDSNet: A New Deep Architecture forReciprocal Object Detection and Instance Segmentation AAAI 2020 Relational Learning for Joint Head and Human Detection AAAI 2020 Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition CVPR 2020 Learning Deep Decentralized Policy Network by Collective Rewards for Real-Time Combat Game IJCAI 2019 Multi-Prototype Networks for Unconstrained Set-based Face Recognition IJCAI 2019 Selective Refinement Network for High Performance Face Detection AAAI 2019 SiamRPN++: Evolution of Siamese Visual Tracking With Very Deep Networks CVPR 2019 3D-Aided Deep Pose-Invariant Face Recognition IJCAI 2018 Deep Cost-Sensitive and Order-Preserving Feature Learning for Cross-Population Age Estimation CVPR 2018 Do not Lose the Details: Reinforced Representation Learning for High Performance Visual Tracking IJCAI 2018 Learning Attentions: Residual Attentional Siamese Network for High Performance Online Visual Tracking CVPR 2018 Pose Partition Networks for Multi-Person Pose Estimation ECCV 2018 Towards Pose Invariant Face Recognition in the Wild CVPR 2018 Visual Tracking via Spatially Aligned Correlation Filters Network ECCV 2018 ZoomNet: Deep Aggregation Learning for High-Performance Small Pedestrian Detection ACML 2018 A Deep Regression Architecture With Two-Stage Re-Initialization for High Performance Facial Landmark Detection CVPR 2017 Human Pose Estimation Using Global and Local Normalization ICCV 2017 Pose-Driven Deep Convolutional Model for Person Re-Identification ICCV 2017 Robust Object Tracking Based on Temporal and Spatial Deep Networks ICCV 2017 View Adaptive Recurrent Neural Networks for High Performance Human Action Recognition From Skeleton Data ICCV 2017 Tensor Power Iteration for Multi-Graph Matching CVPR 2016 Local Subspace Collaborative Tracking ICCV 2015 Shape Driven Kernel Adaptation in Convolutional Neural Network for Robust Facial Traits Recognition CVPR 2015 Multi-target Tracking with Motion Context in Tensor Power Iteration CVPR 2014 Towards Multi-view and Partially-Occluded Face Alignment CVPR 2014 Discriminant Tracking Using Tensor Representation with Semi-supervised Improvement ICCV 2013 Robust Object Tracking with Online Multi-lifespan Dictionary Learning ICCV 2013