Jiaqi Xu

I am a Ph.D. student at The Chinese University of Hong Kong (CUHK). I am currently working on low-level vision. I am extremely fortunate to be advised by Prof. Pheng-Ann Heng and Prof. Qi Dou.
Previously, I received my M.Sc. in Information Engineering from CUHK in 2019 and B.Eng. in Biomedical Engineering from Beihang Univerisity in 2018.

Rm 1024, Ho Sin-Hang Engineering Building, Dept. of CSE, CUHK, Shatin, Hong Kong
Email: jqxu [at] cse [dot] cuhk [dot] edu

Publications

Unveiling the Generalization Power of Fine-Tuned Large Language Models
Haoran Yang, Yumeng Zhang, Jiaqi Xu, Hongyuan Lu, Pheng-Ann Heng, Wai Lam
Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2024.
[arXiv] [code]

Video Dehazing via a Multi-Range Temporal Alignment Network with Physical Prior
Jiaqi Xu, Xiaowei Hu, Lei Zhu, Qi Dou, Jifeng Dai, Yu Qiao, Pheng-Ann Heng
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
[arXiv] [paper] [code] [dataset]

A Survey of Reasoning with Foundation Models: Concepts, Methodologies, and Outlook
Jiankai Sun, Chuanyang Zheng, Enze Xie, Zhengying Liu, Ruihang Chu, Jianing Qiu, Jiaqi Xu, Mingyu Ding,
Hongyang Li, Mengzhe Geng, Yue Wu, Wenhai Wang, Junsong Chen, Zhangyue Yin, Xiaozhe Ren, Jie Fu,
Junxian He, Wu Yuan, Qi Liu, Xihui Liu, Yu Li, Hao Dong, Yu Cheng, Ming Zhang, Pheng Ann Heng, Jifeng
Dai, Ping Luo, Jingdong Wang, Ji-Rong Wen, Xipeng Qiu, Yike Guo, Hui Xiong, Qun Liu, and Zhenguo Li
arXiv preprint, 2023.
[arXiv] [github]

Deep learning for detecting midline shift on brain CT: a retrospective validation study using multinational data and quantitative measurements
Jiaqi Xu, Richard Du, Calvin Mak, Jill Abrigo, Efstratios Tsougenis, Joyce Chan, Qi Dou, Pheng-Ann Heng
European Congress of Radiology (ECR), 2022. (Poster)
[link]

3D Perception based Imitation Learning under Limited Demonstration for Laparoscope Control in Robotic Surgery
Bin Li, Ruofeng Wei, Jiaqi Xu, Bo Lu, Chi Hang Yee, Chi Fai Ng, Pheng-Ann Heng, Qi Dou, Yun-Hui Liu
IEEE International Conference on Robotics and Automation (ICRA), 2022.
[arXiv] [paper]

SurRoL: An Open-source Reinforcement Learning Centered and dVRK Compatible Platform for Surgical Robot Learning
Jiaqi Xu*, Bin Li*, Bo Lu, Yun-Hui Liu, Qi Dou, Pheng-Ann Heng
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021.
[arXiv] [paper] [code] [project]

Deep Mining External Imperfect Data for Chest X-ray Disease Screening
Luyang Luo*, Lequan Yu*, Hao Chen, Quande Liu, Xi Wang, Jiaqi Xu, Pheng-Ann Heng
IEEE Transactions on Medical Imaging (TMI), 2020.
[arXiv] [paper]

IRNet: Instance Relation Network for Overlapping Cervical Cell Segmentation
Yanning Zhou, Hao Chen, Jiaqi Xu, Qi Dou, Pheng-Ann Heng
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019.
[arXiv] [paper]

Experience

Shanghai AI Laboratory
Jan 2022 - Mar 2023 | Shanghai, China
Research Intern, Advisor: Dr. Xiaowei Hu

Hospital Authority, AI Lab
May 2021 - Aug 2021 | Hong Kong SAR
Research Assistant, Advisor: Dr. Efstratios Tsougenis

Imsight Medical Technology, AI Research Lab
Jul 2018 - Sep 2018 | Shenzhen, China
R&D Intern, Advisor: Dr. Hao Chen

Tsinghua Univerisity, Department of Biomedical Engineering
Oct 2017 - Jun 2018 | Beijing, China
Research Intern, Advisor: Prof. Sen Song

Hornors & Awards

Dean's List, Faculty of Engineering, CUHK, 2019
Information Engineering Scholarship, CUHK, 2018-2019
Outstanding Graduate, Beihang University, 2018
Academic Scholarship, Beihang University, 2016-2017
National Scholarship in China, 2016
First Prize in National Olympiad of Informatics, Shandong Province, 2013

Teaching

I served as teaching assistant for the following courses.

FTEC5510 Advanced Financial Infrastructure, Spring & Fall 2023.
CSCI3260 Principles of Computer Graphics, Fall 2019-2022.
CSCI1520 Computer Principles and C++ Programming, Spring 2020.

Professional Activities

Miscellaneous

I like running, hiking.