Learning Reinforced Agents with Counterfactual Simulation for Medical Automatic Diagnosis. - Junfan Lin; Ziliang Chen 001; Xiaodan Liang; Keze Wang; Liang Lin (CoRR, 2020)

Continuous Transition: Improving Sample Efficiency for Continuous Control Problems via MixUp. - Junfan Lin; Zhongzhan Huang; Keze Wang; Xiaodan Liang; Weiwei Chen; Liang Lin (ICRA, 2021)

Deductive Reinforcement Learning for Visual Autonomous Urban Driving Navigation. - Changxin Huang; Ronghui Zhang; Meizi Ouyang; Pengxu Wei; Junfan Lin; Jiang Su; Liang Lin (IEEE Trans. Neural Networks Learn. Syst., 2021)

OhMG: Zero-shot Open-vocabulary Human Motion Generation. - Junfan Lin; Jianlong Chang; Lingbo Liu; Guanbin Li; Liang Lin; Qi Tian 001; Chang Wen Chen (CoRR, 2022)

Being Comes from Not-Being: Open-Vocabulary Text-to-Motion Generation with Wordless Training. - Junfan Lin; Jianlong Chang; Lingbo Liu; Guanbin Li; Liang Lin; Qi Tian 001; Chang Wen Chen (CVPR, 2023)

DenseLight: Efficient Control for Large-scale Traffic Signals with Dense Feedback. - Junfan Lin; Yuying Zhu 007; Lingbo Liu; Yang Liu 267; Guanbin Li; Liang Lin (IJCAI, 2023)

Toward Human Perception-Centric Video Thumbnail Generation. - Tao Yang; Fan Wang; Junfan Lin; Zhongang Qi; Yang Wu 001; Jing Xu; Ying Shan; Changwen Chen (ACM Multimedia, 2023)

Deep Learning-Based Spatial Detection of Drainage Structures using Advanced Object Detection Methods. - Shayan Jalalipour; Sriharshitha Ayyalasomayjula; Hashem Damrah; Junfan Lin; Banafsheh Rekabdar; Ruopu Li (TransAI, 2023)

Learning image blind denoisers without explicit noise modeling. - Lin Nie; Junfan Lin; Wenxiong Kang; Yukai Shi; Liang Lin (Multim. Tools Appl., 2023)

Towards Causality-Aware Inferring: A Sequential Discriminative Approach for Medical Diagnosis. - Junfan Lin; Keze Wang; Ziliang Chen 001; Xiaodan Liang; Liang Lin (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

VidMan: Exploiting Implicit Dynamics from Video Diffusion Model for Effective Robot Manipulation. - Youpeng Wen; Junfan Lin; Yi Zhu 004; Jianhua Han; Hang Xu 004; Shen Zhao; Xiaodan Liang (NeurIPS, 2024)

PIVOT-R: Primitive-Driven Waypoint-Aware World Model for Robotic Manipulation. - Kaidong Zhang; Pengzhen Ren; Bingqian Lin; Junfan Lin; Shikui Ma; Hang Xu 004; Xiaodan Liang (NeurIPS, 2024)

High-fidelity and Lip-synced Talking Face Synthesis via Landmark-based Diffusion Model. - Weizhi Zhong; Junfan Lin; Peixin Chen; Liang Lin; Guanbin Li (CoRR, 2024)

Efficient Language-instructed Skill Acquisition via Reward-Policy Co-Evolution. - Changxin Huang; Yanbin Chang; Junfan Lin; Junyang Liang; Runhao Zeng; Jianqiang Li 001 (CoRR, 2024)

Visual Tuning. - Bruce X. B. Yu; Jianlong Chang; Haixin Wang 003; Lingbo Liu; Shijie Wang 003; Zhiyu Wang; Junfan Lin; Lingxi Xie; Haojie Li; Zhouchen Lin; Qi Tian 001; Chang Wen Chen (ACM Comput. Surv., 2024)

Efficient Language-instructed Skill Acquisition via Reward-Policy Co-Evolution. - Changxin Huang; Yanbin Chang; Junfan Lin; Junyang Liang; Runhao Zeng; Jianqiang Li (AAAI, 2025)

Road Network-Guided Fine-Grained Urban Traffic Flow Inference. - Lingbo Liu; Mengmeng Liu; Guanbin Li; Ziyi Wu; Junfan Lin; Liang Lin (IEEE Trans. Neural Networks Learn. Syst., 2025)

RoBridge: A Hierarchical Architecture Bridging Cognition and Execution for General Robotic Manipulation. - Kaidong Zhang; Rongtao Xu; Pengzhen Ren; Junfan Lin; Hefeng Wu; Liang Lin; Xiaodan Liang (CoRR, 2025)

Continuous Value Assignment: A Doubly Robust Data Augmentation for Off-Policy Learning. - Junfan Lin; Zhongzhan Huang; Keze Wang; Lingbo Liu; Liang Lin (IEEE Trans. Neural Networks Learn. Syst., 2025)

ActionSink: Toward Precise Robot Manipulation with Dynamic Integration of Action Flow. - Shanshan Guo; Xiwen Liang; Junfan Lin; Yuzheng Zhuang; Liang Lin; Xiaodan Liang (CoRR, 2025)