Jian Jiang

Jian Jiang (姜键)

Postdoctoral Researcher

Shanghai Jiao Tong University

I am a Postdoctoral Researcher at Shanghai Jiao Tong University, working with Prof. Yutong Ban. I obtained my Ph.D. from King's College London (KCL) in 2024, supervised by Prof. Oya Celiktutan.

Research Interests

Large Language/Vision Models, Surgical AI, Parameter-Efficient Transfer Learning, Model Compression, Incremental/Continual Learning, Multimodal Learning, Computer Vision, Affective Computing, Model Fairness, Medical Image Analysis.

Education

  • Ph.D. in Deep Learning / Computer Vision, King's College London, 2019 – 2024
  • M.Sc. in Artificial Intelligence (Distinction), King's College London, 2018 – 2019
  • B.Sc. in Software Engineering, Wuhan University of Science and Technology, 2014 – 2018

News

Mar 2026 SurgΣ is released — a large-scale multimodal data and foundation model spectrum for surgical intelligence, covering 6 clinical specialties and over 5.98M conversations across 18 surgical tasks.
Mar 2026 Surg-R1 is released — a hierarchical reasoning surgical VLM achieving 57.7% Arena Score, outperforming GPT-5.1 (28.5%) and Gemini 3.0 Pro (29.8%) on surgical benchmarks.
Dec 2025 Systematic Evaluation and Guidelines for Segment Anything Model in Surgical Video Analysis is accepted by NPJ Digital Surgery.
2024 Joined Shanghai Jiao Tong University as a Postdoctoral Researcher.
2024 Paper on incremental bias mitigation accepted by IEEE Transactions on Affective Computing (IF: 9.6).

Selected Publications

* denotes co-first authorship / equal contribution.

2026
SurgΣ: A Spectrum of Large-Scale Multimodal Data and Foundation Models for Surgical Intelligence
Zhitao Zeng*, Mengya Xu*, Jian Jiang*, Pengfei Guo*, Yunqiu Xu, Zhu Zhuo, Chang Han Low, Yufan He, Dong Yang, Chenxi Lin, Yiming Gu, Jiaxin Guo, Yutong Ban, Daguang Xu, Qi Dou, Yueming Jin
arXiv preprint arXiv:2603.16822, 2026
Paper
Surg-R1: A Hierarchical Reasoning Foundation Model for Scalable and Interpretable Surgical Decision Support with Multi-Center Clinical Validation
Jian Jiang*, Chenxi Lin*, Yiming Gu, Zengyi Qin, Zhitao Zeng, Kun Yuan, Yonghao Long, Xiang Xia, Cheng Yuan, Yuqi Wang, Zijie Yue, Kunyi Yang, Yuting Zhang, Zhu Zhuo, Dian Qin, Xin Wang, NG Chi Fai, Brian Anthony, Daguang Xu, Guy Rosman, Ozanan Meireles, Zizhen Zhang, Nicolas Padoy, Hesheng Wang, Qi Dou, Yueming Jin, and Yutong Ban
arXiv preprint arXiv:2603.12430, 2026
Paper Project Page
2025
Systematic Evaluation and Guidelines for Segment Anything Model in Surgical Video Analysis
Cheng Yuan*, Jian Jiang*, Kunyi Yang, et al.
NPJ Digital Surgery, 2025
Paper
2024
Towards Generalised and Incremental Bias Mitigation in Personality Computing
Jian Jiang, V. Manoranjan, H. Salam, Oya Celiktutan
IEEE Transactions on Affective Computing, 2024
Paper
2023
Neural Weight Search for Scalable Task Incremental Learning
Jian Jiang, Oya Celiktutan
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023
Paper
Generalised Bias Mitigation for Personality Computing
Jian Jiang, V. Manoranjan, H. Salam, Oya Celiktutan
Proceedings of the 1st International Workshop on Multimodal and Responsible Affective Computing (MRAC), 2023
Paper
2022
Learning Personalised Models for Automatic Self-Reported Personality Recognition
H. Salam, V. Manoranjan*, Jian Jiang*, Oya Celiktutan
Proceedings of Machine Learning Research (PMLR), 2022
Paper
2021
IB-DRR: Incremental Learning with Information-Back Discrete Representation Replay
Jian Jiang, Edoardo Centin, Oya Celiktutan
CVPR Workshop on Continual Learning, 2021
Paper
2017
Action Prediction based on Dense Trajectory and Dynamic Image
Jian Jiang, Chunhua Deng, Xiangming Cheng
Chinese Automation Congress (CAC), 2017
Paper

Experience

2024 – Present
Postdoctoral Researcher
Shanghai Jiao Tong University
Collaborator: Prof. Yutong Ban (National Young Talent)
2024
AIGC Researcher
LiblibAI & Lovart
Mentor: Zhibo Chen (Chief AI Scientist, LiblibAI; CTO, Lovart)
2023 – 2024
Research Assistant
King's College London & Tongji University
Collaborator: Prof. Miaojing Shi (Tongji University, National Young Talent)
2019 – 2022
Teaching Assistant
King's College London
Courses: Computer Vision, Pattern Recognition, Bio-Inspired Methods, Random Variables & Stochastic Processes

Awards & Honors

Grants & Funding

  • Shanghai Super Postdoctoral Fellowship
  • Shanghai Postdoctoral Recruitment Program
  • Shanghai Magnolia Talent Program – Pujiang Project
  • NVIDIA Academic Hardware Grant, 2022
  • EPSRC (Engineering and Physical Sciences Research Council, UK) Funding

Competitions

  • International Champion, Autonomous Navigation, International Humanoid Robot Olympics, 2017
  • International Runner-up × 2, Simulated Robot Soccer (Large & Medium Groups), FIRA Robot World Cup, 2017
  • First Prize, Humanoid Robot Obstacle Course, International Humanoid Robot Olympics, 2017

Academic

  • Outstanding Graduation Thesis, WUST, 2018
  • First-Class Scholarship & Outstanding Student, WUST, 2015 – 2018

Professional Certification

  • System Analyst (Senior Level), certified by Ministry of Human Resources and Social Security & MIIT, PRC