About Me

I am currently a third-year Ph.D. student in the Department of Computer Science at The University of Hong Kong (HKU), honored to be supervised by Prof. Kwan-Yee K. Wong. Previously, I received a Research Master’s degree at Sun Yat-sen University (SYSU), fortunately advised by Prof. Liang Lin and Prof. Xiaodan Liang. I completed my Bachelor’s degree at Xidian University. My research interests lie in multimodal reasoning, embodied AI, and the application of LLMs. Please feel free to contact me via jqchen(at)cs.hku.hk!

Publications

Affordances-Oriented Planning using Foundation Models for Continuous Vision-Language Navigation
Jiaqi Chen, Bingqian Lin, Xinmin Liu, Lin Ma, Xiaodan Liang, Kwan-Yee K. Wong
Annual AAAI Conference on Artificial Intelligence (AAAI 2025)
[Paper] [Project] [Code]

MapGPT: Map-Guided Prompting with Adaptive Path Planning for Vision-and-Language Navigation
Jiaqi Chen, Bingqian Lin, Ran Xu, Zhenhua Chai, Xiaodan Liang, Kwan-Yee K. Wong
Annual Meeting of the Association for Computational Linguistics (ACL 2024)
[Paper] [Project] [Code]

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
[arXiv] [Code]

Template-based Contrastive Distillation Pre-training for Math Word Problem Solving
Jinghui Qin, Zhicheng Yang, Jiaqi Chen, Xiaodan Liang and Liang Lin
IEEE Transactions on Neural Networks and Learning Systems (TNNLS 2023)
[Paper]

UniGeo: Unifying Geometry Logical Reasoning via Reformulating Mathematical Expression
Jiaqi Chen, Tong Li, Jinghui Qin, Pan Lu, Liang Lin, Chongyu Chen, Xiaodan Liang
The Conference on Empirical Methods in Natural Language Processing (EMNLP 2022)
[Paper] [Code]

LogicSolver: Towards Interpretable Math Word Problem Solving with Logical Prompt-enhanced Learning
Zhicheng Yang, Jinghui Qin, Jiaqi Chen, Liang Lin, Xiaodan Liang
The Conference on Empirical Methods in Natural Language Processing (EMNLP 2022 Findings)
[Paper] [Code]

Unbiased Math Word Problems Benchmark for Mitigating Solving Bias
Zhicheng Yang, Jinghui Qin, Jiaqi Chen, Xiaodan Liang
Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2022 Findings)
[Paper] [Code]

GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning
Jiaqi Chen*, Jianheng Tang*, Jinghui Qin, Xiaodan Liang, Lingbo Liu, Eric Xing, Liang Lin
Annual Meeting of the Association for Computational Linguistics (ACL 2021 Findings)
[Paper] [Code]

IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning
Pan Lu, Liang Qiu, Jiaqi Chen, Tony Xia, Yizhou Zhao, Wei Zhang, Zhou Yu, Xiaodan Liang, Song-Chun Zhu
Conference on Neural Information Processing Systems (NeurIPS 2021)
[Paper] [Code]

UltraPose: Synthesizing Dense Pose with 1 Billion Points by Human-Body Decoupling 3D Model
Haonan Yan*, Jiaqi Chen*, Xujie Zhang, Shengkai Zhang, Nianhong Jiao, Xiaodan Liang, Tianxiang Zheng
International Conference on Computer Vision (ICCV 2021)
[Paper] [Code]

Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd Counting
Lingbo Liu*, Jiaqi Chen*, Hefeng Wu, Guanbin Li, Chenglong Li, Liang Lin
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021)
[Paper] [Code]

Efficient Crowd Counting via Structured Knowledge Transfer
Lingbo Liu*, Jiaqi Chen*, Hefeng Wu, Tianshui Chen, Guanbin Li, Liang Lin
ACM International Conference on Multimedia (MM 2020)
[Paper] [Code]

(* denotes co-first authors)