Xi Xiao 肖熙
Logo Ph.D. Student @ UAB
Logo Research Intern @ ORNL

Hi, everyone! I am Xi Xiao, a second-year Ph.D. student in the Department of Computer Science at the University of Alabama at Birmingham, advised by Dr. Tianyang Wang, and co-advised by Dr. Min Xu from Carnegie Mellon University.

I am currently conducting a long-term research internship at the Computational Sciences and Engineering Division of Oak Ridge National Laboratory, supervised by Dr. Xiao Wang.

I am a finalist for the ACM Gordon Bell Prize in 2025.

My research interests include:

  • Efficient Domain Adaptation for Large Foundation Models (SC’25, ACM MM’25, COLM’25, EMNLP’25, CVPRW’25)
  • Image / Video Generation / Understanding (ICCV’25, NeurIPS’25, ICMLW’25, WACV’26)

I'm always open to collaboration and discussion, if you're interested in my research or have any awesome ideas, please do not hesitate to contact me :)


Education
  • University of Alabama at Birmingham
    Ph.D. in Computer Science
    Jan. 2024 - present
  • Sichuan University Jincheng College
    B.S. in Artificial Intelligence
    Sep. 2019 - Jun. 2023
Experience
  • Oak Ridge National Laboratory
    Research Intern
    May. 2025 - present
Honors & Awards
  • 2025 ACM Gordon Bell Prize Finalist
    2025
  • SC 2025 Best Paper Finalist
    2025
News
2025
One paper accepted by NeurIPS 2025! See you in San Diego!
Sep 18
One paper accepted by WACV 2026! Round 1 Acceptance (85/1329 ≈ 6.4%)
Sep 05
One paper accepted by EMNLP 2025
Aug 21
Our work selected as a finalist for the ACM Gordon Bell Prize🏆 in 2025!
Jul 25
One paper accepted by COLM 2025
Jul 09
One paper accepted by ACM MM 2025
Jul 05
One paper accepted by SC 2025 — Best Paper Finalist 🏆! I'm deeply honored to be the only student author on this remarkable team.
Jun 26
One paper accepted by ICCV 2025!
Jun 26
One paper accepted by ECML-PKDD 2025!
May 19
One paper accepted by ICML Workshop on FM4LS 2025!
May 17
One paper accepted by ACL Workshop on MAGMaR 2025 — Oral!
May 17
One paper accepted by CVPR Workshop on FGVC 2025!
May 07
Joined the Computational Sciences and Engineering Division at Oak Ridge National Laboratory for a long-term research internship!
May 01
2024
One paper accepted by ICASSP 2025!
Dec 19
Serve a Reviewer for IEEE Transactions on Circuits and Systems for Video Technology!
Mar 01
Started Ph.D. in Computer Science at the University of Alabama at Birmingham!
Jan 10
Selected Publications (view all )
Visual Instance-aware Prompt Tuning
Visual Instance-aware Prompt Tuning

Xi Xiao, Yunbei Zhang, Xingjian Li, Tianyang Wang, Xiao Wang, Yuxiang Wei, Jihun Hamm, Min Xu

ACM International Conference on Multimedia (ACM MM) 2025

Visual Instance-aware Prompt Tuning

Xi Xiao, Yunbei Zhang, Xingjian Li, Tianyang Wang, Xiao Wang, Yuxiang Wei, Jihun Hamm, Min Xu

ACM International Conference on Multimedia (ACM MM) 2025

MagicID: Hybrid Preference Optimization for ID-Consistent and Dynamic-Preserved Video Customization
MagicID: Hybrid Preference Optimization for ID-Consistent and Dynamic-Preserved Video Customization

Hengjia Li*, Lifan Jiang*, Xi Xiao*, Tianyang Wang, Hongwei Yi, Boxi Wu, Deng Cai (* equal contribution)

International Conference on Computer Vision (ICCV) 2025

MagicID: Hybrid Preference Optimization for ID-Consistent and Dynamic-Preserved Video Customization

Hengjia Li*, Lifan Jiang*, Xi Xiao*, Tianyang Wang, Hongwei Yi, Boxi Wu, Deng Cai (* equal contribution)

International Conference on Computer Vision (ICCV) 2025

MoRE-Brain: Routed Mixture of Experts for Interpretable and Generalizable Cross-Subject fMRI Visual Decoding
MoRE-Brain: Routed Mixture of Experts for Interpretable and Generalizable Cross-Subject fMRI Visual Decoding

Yuxiang Wei, Yanteng Zhang, Xi Xiao, Tianyang Wang, Xiao Wang, Vince D. Calhoun

Annual Conference on Neural Information Processing Systems (NeurIPS) 2025

MoRE-Brain: Routed Mixture of Experts for Interpretable and Generalizable Cross-Subject fMRI Visual Decoding

Yuxiang Wei, Yanteng Zhang, Xi Xiao, Tianyang Wang, Xiao Wang, Vince D. Calhoun

Annual Conference on Neural Information Processing Systems (NeurIPS) 2025

ORBIT-2: Scaling Exascale Vision Foundation Models for Weather and Climate Downscaling
ORBIT-2: Scaling Exascale Vision Foundation Models for Weather and Climate Downscaling

Xiao Wang, Jong-Youl Choi, Takuya Kurihaya, Isaac Lyngaas, Hong-Jun Yoon, Xi Xiao, Ming Fan, Nasik Muhammad Nafi, Aristeidis Tsaris, Ashwin M. Aji, Maliha Hossain, Mohamed Wahib, Dali Wang, Peter Thornton, Prasanna Balaprakash, Moetasim Ashfaq, Dan Lu

International Conference for High Performance Computing, Networking, Storage, and Analysis (SC) 2025 Best Paper Finalist🏆 ACM Gordon Bell Prize Finalist🏆

ORBIT-2: Scaling Exascale Vision Foundation Models for Weather and Climate Downscaling

Xiao Wang, Jong-Youl Choi, Takuya Kurihaya, Isaac Lyngaas, Hong-Jun Yoon, Xi Xiao, Ming Fan, Nasik Muhammad Nafi, Aristeidis Tsaris, Ashwin M. Aji, Maliha Hossain, Mohamed Wahib, Dali Wang, Peter Thornton, Prasanna Balaprakash, Moetasim Ashfaq, Dan Lu

International Conference for High Performance Computing, Networking, Storage, and Analysis (SC) 2025 Best Paper Finalist🏆 ACM Gordon Bell Prize Finalist🏆

RoadBench: A Vision-Language Foundation Model and Benchmark for Road Damage Understanding
RoadBench: A Vision-Language Foundation Model and Benchmark for Road Damage Understanding

Xi Xiao, Yunbei Zhang, Janet Wang, Lin Zhao, Yuxiang Wei, Hengjia Li, Yanshu Li, Xiao Wang, Swalpa Kumar Roy, Hao Xu, Tianyang Wang

The IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2026 Round 1 Acceptance (85/1329 ≈ 6.4%)

RoadBench: A Vision-Language Foundation Model and Benchmark for Road Damage Understanding

Xi Xiao, Yunbei Zhang, Janet Wang, Lin Zhao, Yuxiang Wei, Hengjia Li, Yanshu Li, Xiao Wang, Swalpa Kumar Roy, Hao Xu, Tianyang Wang

The IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2026 Round 1 Acceptance (85/1329 ≈ 6.4%)

Describe Anything in Medical Images
Describe Anything in Medical Images

Xi Xiao, Yunbei Zhang, Thanh-Huy Nguyen, Ba-Thinh Lam, Janet Wang, Lin Zhao, Jihun Hamm, Tianyang Wang, Xingjian Li, Xiao Wang, Hao Xu, Tianming Liu, Min Xu

ICML 2025 Workshop on Multi-modal Foundation Models and Large Language Models for Life Sciences 2025

Describe Anything in Medical Images

Xi Xiao, Yunbei Zhang, Thanh-Huy Nguyen, Ba-Thinh Lam, Janet Wang, Lin Zhao, Jihun Hamm, Tianyang Wang, Xingjian Li, Xiao Wang, Hao Xu, Tianming Liu, Min Xu

ICML 2025 Workshop on Multi-modal Foundation Models and Large Language Models for Life Sciences 2025

All publications
Academic Services
  • Conference Reviewer: AAAI 2026, NeurIPS 2025, ICML 2025, ACM MM 2025, ICANN 2025, IJCNN 2025, ECCV 2024, ICONIP 2024/2025
  • Journal Reviewer: IEEE TCSVT(IF:11.1), npj Digital Medicine(IF:12.4)
  • Area Chair: IEEE PRAI 2022
  • IEEE Student Member
  • APNNS Member