Bingqian Lin

According to our database, Bingqian Lin authored at least 18 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

NavCoT: Boosting LLM-Based Vision-and-Language Navigation via Learning Disentangled Reasoning.

Bingqian Lin, Yunshuang Nie, Ziming Wei, Jiaqi Chen, Shikui Ma, Jianhua Han, Hang Xu, Xiaojun Chang, Xiaodan Liang

CoRR, 2024

MapGPT: Map-Guided Prompting for Unified Vision-and-Language Navigation.

Jiaqi Chen, Bingqian Lin, Ran Xu, Zhenhua Chai, Xiaodan Liang, Kwan-Yee K. Wong

CoRR, 2024

2023

Towards Deviation-Robust Agent Navigation via Perturbation-Aware Contrastive Learning.

Bingqian Lin, Yanxin Long, Yi Zhu, Fengda Zhu, Xiaodan Liang, Qixiang Ye, Liang Lin

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

Towards Medical Artificial General Intelligence via Knowledge-Enhanced Multimodal Pretraining.

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

CoRR, 2023

Dynamic Graph Enhanced Contrastive Learning for Chest X-Ray Report Generation.

Mingjie Li, Bingqian Lin, Zicong Chen, Haokun Lin, Xiaodan Liang, Xiaojun Chang

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

Actional Atomic-Concept Learning for Demystifying Vision-Language Navigation.

Bingqian Lin, Yi Zhu, Xiaodan Liang, Liang Lin, Jianzhuang Liu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Configurable Graph Reasoning for Visual Relationship Detection.

Yi Zhu, Xiwen Liang, Bingqian Lin, Qixiang Ye, Jianbin Jiao, Liang Lin, Xiaodan Liang

IEEE Trans. Neural Networks Learn. Syst., 2022

Atom correlation based graph propagation for scene graph generation.

Bingqian Lin, Yi Zhu, Xiaodan Liang

Pattern Recognit., 2022

Adversarial Reinforced Instruction Attacker for Robust Vision-Language Navigation.

Bingqian Lin, Yi Zhu, Yanxin Long, Xiaodan Liang, Qixiang Ye, Liang Lin

IEEE Trans. Pattern Anal. Mach. Intell., 2022

RelCLIP: Adapting Language-Image Pretraining for Visual Relationship Detection via Relational Contrastive Learning.

Yi Zhu, Zhaoqing Zhu, Bingqian Lin, Xiaodan Liang, Feng Zhao, Jianzhuang Liu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

ADAPT: Vision-Language Navigation with Modality-Aligned Action Prompts.

Bingqian Lin, Yi Zhu, Zicong Chen, Xiwen Liang, Jianzhuang Liu, Xiaodan Liang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Contrastive Instruction-Trajectory Learning for Vision-Language Navigation.

Xiwen Liang, Fengda Zhu, Yi Zhu, Bingqian Lin, Bing Wang, Xiaodan Liang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Joint Deep Multi-View Learning for Image Clustering.

Yuan Xie, Bingqian Lin, Yanyun Qu, Cuihua Li, Wensheng Zhang, Lizhuang Ma, Yonggang Wen, Dacheng Tao

IEEE Trans. Knowl. Data Eng., 2021

Heterogeneous Excitation-and-Squeeze Network for visual dialog.

Bingqian Lin, Yi Zhu, Xiaodan Liang

Neurocomputing, 2021

2020

Vision-Dialog Navigation by Exploring Cross-Modal Memory.

Yi Zhu, Fengda Zhu, Zhaohuan Zhan, Bingqian Lin, Jianbin Jiao, Xiaojun Chang, Xiaodan Liang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Patch Proposal Network for Fast Semantic Segmentation of High-Resolution Images.

Tong Wu, Zhenzhen Lei, Bingqian Lin, Cuihua Li, Yanyun Qu, Yuan Xie

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018

Deep Multi-View Clustering via Multiple Embedding.

Bingqian Lin, Yuan Xie, Yanyun Qu, Cuihua Li

CoRR, 2018

Deeptongue: Tongue Segmentation Via Resnet.

Bingqian Lin, Junwei Xle, Cuihua Li, Yanyun Qu

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018