Junfan Lin

According to our database, Junfan Lin authored at least 22 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Learning Task-Invariant Properties via Dreamer: Enabling Efficient Policy Transfer for Quadruped Robots.

Junyang Liang, Yuxuan Liu, Yabin Chang, Junfan Lin, Junkai Ji, Hui Li, Changxin Huang, Jianqiang Li

CoRR, April, 2026

CIREC: Causal Intervention-Inspired Policy Learning to Mitigate Exposure Bias for Interactive Recommendation.

Yongsen Zheng, Guohua Wang, Jinghui Qin, Ziliang Chen, Junfan Lin, Pengxu Wei, Liang Lin, Kwok-Yan Lam

IEEE Trans. Knowl. Data Eng., January, 2026

High-Fidelity and Lip-Synced Talking Face Synthesis via Landmark-Based Diffusion Model.

Weizhi Zhong, Junfan Lin, Peixin Chen, Feng Gao, Liang Lin, Guanbin Li

IEEE Trans. Image Process., 2026

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, August, 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., May, 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., January, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Efficient Language-instructed Skill Acquisition via Reward-Policy Co-Evolution.

Changxin Huang, Yanbin Chang, Junfan Lin, Junyang Liang, Runhao Zeng, Jianqiang Li

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Visual Tuning.

Bruce X. B. Yu, Jianlong Chang, Haixin Wang, Lingbo Liu, Shijie Wang, Zhiyu Wang, Junfan Lin, Lingxi Xie, Haojie Li, Zhouchen Lin, Qi Tian, Chang Wen Chen

ACM Comput. Surv., December, 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

PIVOT-R: Primitive-Driven Waypoint-Aware World Model for Robotic Manipulation.

Kaidong Zhang, Pengzhen Ren, Bingqian Lin, Junfan Lin, Shikui Ma, Hang Xu, Xiaodan Liang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

VidMan: Exploiting Implicit Dynamics from Video Diffusion Model for Effective Robot Manipulation.

Youpeng Wen, Junfan Lin, Yi Zhu, Jianhua Han, Hang Xu, Shen Zhao, Xiaodan Liang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Towards Causality-Aware Inferring: A Sequential Discriminative Approach for Medical Diagnosis.

Junfan Lin, Keze Wang, Ziliang Chen, Xiaodan Liang, Liang Lin

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Learning image blind denoisers without explicit noise modeling.

Lin Nie, Junfan Lin, Wenxiong Kang, Yukai Shi, Liang Lin

Multim. Tools Appl., July, 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

Proceedings of the 2023 Fifth International Conference on Transdisciplinary AI (TransAI), 2023

Toward Human Perception-Centric Video Thumbnail Generation.

Tao Yang, Fan Wang, Junfan Lin, Zhongang Qi, Yang Wu, Jing Xu, Ying Shan, Changwen Chen

Proceedings of the 31st ACM International Conference on Multimedia, 2023

DenseLight: Efficient Control for Large-scale Traffic Signals with Dense Feedback.

Junfan Lin, Yuying Zhu, Lingbo Liu, Yang Liu, Guanbin Li, Liang Lin

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

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, Chang Wen Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

OhMG: Zero-shot Open-vocabulary Human Motion Generation.

Junfan Lin, Jianlong Chang, Lingbo Liu, Guanbin Li, Liang Lin, Qi Tian, Chang Wen Chen

CoRR, 2022

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

Continuous Transition: Improving Sample Efficiency for Continuous Control Problems via MixUp.

Junfan Lin, Zhongzhan Huang, Keze Wang, Xiaodan Liang, Weiwei Chen, Liang Lin

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

Learning Reinforced Agents with Counterfactual Simulation for Medical Automatic Diagnosis.

Junfan Lin, Ziliang Chen, Xiaodan Liang, Keze Wang, Liang Lin

CoRR, 2020