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Junliang Xing

68 papers · 2013–2026 · 9 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (12) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (9) 🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer πŸ† Grand Slam πŸ‘‘ Triple Crown 🀝 Dynamic Duo (19) 🧬 Topic Evolution πŸ”₯ Unstoppable (13) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter ⚑ Prolific Year (14) πŸ—ƒοΈ Keyword Collector (248) πŸ’Ž Century Club (65)

Conferences

AAAI (16) CVPR (13) ICCV (10) ICLR (8) IJCAI (8) ICML (6) NIPS (4) ECCV (2) ACML (1)

Top co-authors

Kai Li (20) Haobo Fu (15) Qiang Fu (15) Jian Cheng (11) Weiming Hu (11) Jian Zhao (7) Yifan Zang (7) Shuicheng Yan (7) Jianshu Li (6) Qiang Wang (5)

Keywords

feature representation (5) object tracking (5) convolutional neural network (5) object detection (5) deep learning (4) visual tracking (4) human pose estimation (3) face recognition (3) neural network (3) reinforcement learning (3) counterfactual regret minimization (3) dictionary learning (3) opponent modeling (3) policy learning (3) multi-agent reinforcement learning (2) sample efficiency (2) pedestrian detection (2) policy optimization (2) attention mechanism (2) domain adaptation (2)

Papers

Multivariate Diffusion Transformer with Decoupled Attention for High-Fidelity Mask-Text Collaborative Facial Generation AAAI 2026
MARPO: A Reflective Policy Optimization for Multi-Agent Reinforcement Learning AAAI 2026
Deep (Predictive) Discounted Counterfactual Regret Minimization AAAI 2026
Entropy-Adaptive Diffusion Policy Optimization with Dynamic Step Alignment ICCV 2025
GTR: Guided Thought Reinforcement Prevents Thought Collapse in RL-based VLM Agent Training ICCV 2025
Dynamic Dictionary Learning for Remote Sensing Image Segmentation ICCV 2025
Habitizing Diffusion Planning for Efficient and Effective Decision Making ICML 2025
Multi-View 3D Human Pose Estimation with Weakly Synchronized Images AAAI 2025
Position-Aware Guided Point Cloud Completion with CLIP Model AAAI 2025
An Open-Ended Learning Framework for Opponent Modeling AAAI 2025
Offline Opponent Modeling with Truncated Q-driven Instant Policy Refinement ICML 2025
Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning ICML 2025
Minimal Impact ControlNet: Advancing Multi-ControlNet Integration ICLR 2025
BodyGen: Advancing Towards Efficient Embodiment Co-Design ICLR 2025
Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning ICLR 2025
StickMotion: Generating 3D Human Motions by Drawing a Stickman CVPR 2025
PAE: Reinforcement Learning from External Knowledge for Efficient Exploration ICLR 2024
Inner Classifier-Free Guidance and Its Taylor Expansion for Diffusion Models ICLR 2024
Dynamic Discounted Counterfactual Regret Minimization 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
Efficient Multi-task Reinforcement Learning with Cross-Task Policy Guidance NIPS 2024
Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent IJCAI 2024
Unified Single-Stage Transformer Network for Efficient RGB-T Tracking IJCAI 2024
DriveWorld: 4D Pre-trained Scene Understanding via World Models for Autonomous Driving CVPR 2024
Opponent Modeling with In-context Search NIPS 2024
Dual Critic Reinforcement Learning under Partial Observability NIPS 2024
Advancing Video Synchronization with Fractional Frame Analysis: Introducing a Novel Dataset and Model AAAI 2024
Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing AAAI 2024
SDDM: Score-Decomposed Diffusion Models on Manifolds for Unpaired Image-to-Image Translation ICML 2023
Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement Learning NIPS 2023
Greedy when Sure and Conservative when Uncertain about the Opponents ICML 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
Actor-Critic Policy Optimization in a Large-Scale Imperfect-Information Game ICLR 2022
Exploration via State influence Modeling AAAI 2021
RDSNet: A New Deep Architecture forReciprocal Object Detection and Instance Segmentation AAAI 2020
Hybrid Learning for Multi-agent Cooperation with Sub-optimal Demonstrations IJCAI 2020
PedHunter: Occlusion Robust Pedestrian Detector in Crowded Scenes AAAI 2020
Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition CVPR 2020
Relational Learning for Joint Head and Human Detection AAAI 2020
Domain Adaptive Attention Learning for Unsupervised Person Re-Identification AAAI 2020
Potential Driven Reinforcement Learning for Hard Exploration Tasks IJCAI 2020
Selective Refinement Network for High Performance Face Detection AAAI 2019
SiamRPN++: Evolution of Siamese Visual Tracking With Very Deep Networks CVPR 2019
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
Learning Attentions: Residual Attentional Siamese Network for High Performance Online Visual Tracking CVPR 2018
Deep Cost-Sensitive and Order-Preserving Feature Learning for Cross-Population Age Estimation CVPR 2018
Visual Tracking via Spatially Aligned Correlation Filters Network ECCV 2018
Pose Partition Networks for Multi-Person Pose Estimation ECCV 2018
ZoomNet: Deep Aggregation Learning for High-Performance Small Pedestrian Detection ACML 2018
3D-Aided Deep Pose-Invariant Face Recognition IJCAI 2018
Do not Lose the Details: Reinforced Representation Learning for High Performance Visual Tracking IJCAI 2018
Towards Pose Invariant Face Recognition in the Wild CVPR 2018
A Deep Regression Architecture With Two-Stage Re-Initialization for High Performance Facial Landmark Detection CVPR 2017
View Adaptive Recurrent Neural Networks for High Performance Human Action Recognition From Skeleton Data ICCV 2017
Pose-Driven Deep Convolutional Model for Person Re-Identification ICCV 2017
Human Pose Estimation Using Global and Local Normalization ICCV 2017
Robust Object Tracking Based on Temporal and Spatial Deep Networks 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
Towards Multi-view and Partially-Occluded Face Alignment CVPR 2014
Multi-target Tracking with Motion Context in Tensor Power Iteration CVPR 2014
Robust Object Tracking with Online Multi-lifespan Dictionary Learning ICCV 2013
Discriminant Tracking Using Tensor Representation with Semi-supervised Improvement ICCV 2013