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, co-advised by Dr. Tianyang Wang and Dr. Min Xu.

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

I am broadly interested in designing efficient and intelligent machine learning systems that can deploy effectively under constrained settings of computation, data, and storage. My research primarily focuses on the post-training stage of large-scale models (LLMs, MLLMs, and LVMs), including (1) Efficient Domain Adaptation and (2) Model Quantization.

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
🎉 Big News: Our Work Was Featured by AMD! Read the story
Nov 12
Two papers accepted by WACV 2026!
Nov 09
One paper accepted by AAAI 2026!
Nov 07
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 Findgs of 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
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 )
Prompt-based Adaptation in Large-scale Vision Models: A Survey
Prompt-based Adaptation in Large-scale Vision Models: A Survey

Xi Xiao, Yunbei Zhang, Lin Zhao, Yiyang Liu, Xiaoying Liao, Zheda Mai, Xingjian Li, Xiao Wang, Hao Xu, Jihun Hamm, Xue Lin, Min Xu, Qifan Wang, Tianyang Wang, Cheng Han

arXiv 2025

Prompt-based Adaptation in Large-scale Vision Models: A Survey

Xi Xiao, Yunbei Zhang, Lin Zhao, Yiyang Liu, Xiaoying Liao, Zheda Mai, Xingjian Li, Xiao Wang, Hao Xu, Jihun Hamm, Xue Lin, Min Xu, Qifan Wang, Tianyang Wang, Cheng Han

arXiv 2025

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

CAD-VAE: Leveraging Correlation-Aware Latents for Comprehensive Fair Disentanglement
CAD-VAE: Leveraging Correlation-Aware Latents for Comprehensive Fair Disentanglement

Chenrui Ma, Xi Xiao, Tianyang Wang, Xiao Wang, Yanning Shen

Association for the Advancement of Artificial Intelligence (AAAI) 2026

CAD-VAE: Leveraging Correlation-Aware Latents for Comprehensive Fair Disentanglement

Chenrui Ma, Xi Xiao, Tianyang Wang, Xiao Wang, Yanning Shen

Association for the Advancement of Artificial Intelligence (AAAI) 2026

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🏆

All publications
Academic Services
  • Conference Reviewer: CVPR 2026, AAAI 2026, NeurIPS 2025, ICML 2025, ACM MM 2025, ICANN 2025, IJCNN 2025, ECCV 2024, ICONIP 2024/2025
  • Journal Reviewer: IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Transactions on Machine Learning Research (TMLR), npj Digital Medicine
  • Area Chair: IEEE PRAI 2022
  • IEEE Student Member
  • APNNS Member