I am currently a postdoctoral fellow at the Shanghai Jiao Tong University, working with Prof. Cewu Lu. I received my Ph.D. degree in Electronics Information Engineering at Sun Yat-sen University, advised by Prof. Xiaodan Liang and Prof. Liang Lin at the Human Cyber Physical Intelligence Integration Lab (HCP-I2 Lab). I was a research intern at Huawei Noah’s Ark Laboratory, advised by Prof. Jianzhuang Liu.
I received my BS and MS degrees from the University of Electronic Science and Technology of China (UESTC) and the Xiamen University (XMU).
My research interest lies in Multi-modal understanding, Embodied AI, and Computer vision. Currently, I am focusing on building generalist embodied agents driven by foundation models and the world model theory.
Recent Activities
- [12/2024] One paper on Affordance-Oriented Planning for the VLN task is accepted by AAAI 2025.
- [09/2024] One paper on Waypoint-Aware World Model for Robotic Manipulation is accepted by Neurips 2024.
- [06/2024] Excited to receive Honors Graduate from Sun Yat-sen University!
- [05/2024] One paper on Correctable Landmark Discovery for the VLN task is accepted by IEEE TPAMI.
- [05/2024] One paper on Map-oriented Prompting for the VLN task is accepted by ACL 2024.
- [05/2024] I successfully defended my Ph.D. dissertation!
- [03/2024] One paper on Navigational Chain-of-Thought for the VLN task is available at Preprint.
- [04/2023] One paper on Knowledge-Enhanced Medical Multimodal Pretraining is available at Preprint.
- [04/2023] One paper on Training Deviation-robust Agents for the VLN task is available at TPAMI 2023.
- [03/2023] One paper on Dynamic Graph Enhanced Contrastive Learning for the MRG task is available at CVPR 2023.
- [02/2023] One paper on Actional Atomic-Concept Learning for the VLN task is available at AAAI 2023.
- [03/2022] One paper on Modality-Aligned Action Prompts for the VLN task is available at CVPR 2022.
Selected Publications/Preprints
Bingqian Lin*, Yunshuang Nie*, Ziming Wei, Yi Zhu, Hang Xu, Shikui Ma, Jianzhuang Liu, Xiaodan Liang
TPAMI, 2024
arXiv / code / bibtex
Bingqian Lin*, Yunshuang Nie*, Ziming Wei, Jiaqi Chen, Shikui Ma, Jianhua Han, Hang Xu, Xiaojun Chang, Xiaodan Liang
arXiv, 2024
arXiv / code / bibtex
Jiaqi Chen, Bingqian Lin, Ran Xu, Zhenhua Chai, Xiaodan Liang, Kwan-Yee K. Wong
ACL, 2024
arXiv / code / bibtex
Bingqian Lin*, Yanxin Long*, Yi Zhu, Fengda Zhu, Xiaodan Liang, Qixiang Ye, Liang Lin
TPAMI, 2023
arXiv / bibtex
Bingqian Lin*, Zicong Chen*, Mingjie Li*, Haokun Lin, Hang Xu, Yi Zhu, Jianzhuang Liu, Wenjia Cai, Lei Yang, Shen Zhao, Chenfei Wu, Ling Chen, Xiaojun Chang, Yi Yang, Lei Xing, Xiaodan Liang
arXiv, 2023
arXiv / code / bibtex
Mingjie Li, Bingqian Lin, Zicong Chen, Haokun Lin, Xiaodan Liang, Xiaojun Chang
CVPR, 2023
arXiv / code / bibtex
Bingqian Lin, Yi Zhu, Xiaodan Liang, Liang Lin, Jianzhuang Liu
AAAI Oral, 2023
arXiv / bibtex
Yi Zhu*, Zhaoqing Zhu*, Bingqian Lin, Xiaodan Liang, Feng Zhao, Jianzhuang Liu
EMNLP, 2022
paper / bibtex
Bingqian Lin, Yi Zhu, Zicong Chen, Xiwen Liang, Jianzhuang Liu, Xiaodan Liang
CVPR, 2022
arXiv / code / bibtex
Xiwen Liang, Fengda Zhu, Yi Zhu, Bingqian Lin, Bing Wang, Xiaodan Liang
AAAI, 2022
arXiv / code / bibtex
Bingqian Lin, Yi Zhu, Yanxin Long, Xiaodan Liang, Qixiang Ye, Liang Lin
TPAMI, 2021
arXiv / code / bibtex
Yi Zhu, Fengda Zhu, Zhaohuan Zhan, Bingqian Lin, Jianbin Jiao, Xiaojun Chang, Xiaodan Liang
CVPR, 2020
arXiv / code / bibtex
Academic Services
Reviewer for Journal- IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
- IEEE Transactions on Multimedia (TMM)
- IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
- IEEE Transactions on Medical Imaging (TMI)
- Neural Networks
- The International Conference on Learning Representations (ICLR)
- Annual Conference on Neural Information Processing Systems (Neurips)
- IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
- Annual Meeting of the Association for Computational Linguistics (ACL)
- Empirical Methods in Natural Language Processing (EMNLP)