Xun Zhao (čµµē£ļ¼‰

I am a Research Scientist at Shanghai AI Laboratory (shlab) working with Prof. Dahua Lin. I hold a Ph.D. degree in Computer Science from Hong Kong University of Science and Technology under the supervision of Prof. Huamin Qu.

My research interest lies in the broad field of Responsible AI, an interdisciplinary topic, which combines machine learning, human-computer interaction, computational social science and data visualization. Currently, I am particularly interested in enhancing the interpretability, safety, robustness, fairness and privacy of large language models.

NOTE: We are actively hiring motivated interns and joint-training PhD students. If you are enthusiastic about Responsible AI and wish to join us, contact me directly! [details]

profile photo

Selected Publications
Not All Models Are Equal: Predicting Model Transferability in a Self-challenging Fisher Space
Wenqi Shao, Xun Zhao, Y Ge, Z Zhang, L Yang, Xiaogang Wang, Y Shan, Ping Luo.
European Conference on Computer Vision (ECCV), 2022
paper / code

Active Learning for Open-Set Annotation
Kun-Peng Ning, Xun Zhao, Yu Li, Sheng-Jun Huang.
Computer Vision and Pattern Recognition (CVPR), 2022
paper

Temporally Efficient Vision Transformer for Video Instance Segmentation
Shusheng Yang, Xinggang Wang, Yu Li, Y Fang, J Fang, W Liu, Xun Zhao, Y Shan.
Computer Vision and Pattern Recognition (CVPR), 2022
Oral Presentation
paper / code

Towards Vivid and Diverse Image Colorization with Generative Color Prior
Yanze Wu, Xintao Wang, Yu Li, Honglun Zhang, Xun Zhao, Y Shan.
International Conference on Computer Vision (ICCV), 2021
paper / code

Oui! Outlier Interpretation on Multiā€dimensional Data via Visual Analytics
Xun Zhao, W Cui, Y Wu, H Zhang, Huamin Qu, Dongmei Zhang.
Computer Graphics Forum, 2019
paper

iForest: Interpreting Random Forests via Visual Analytics
Xun Zhao, Y Wu, DL Lee, W Cui.
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2018
paper

SkyLens: Visual Analysis of Skyline on Multi-dimensional Data
Xun Zhao, Y Wu, W Cui, X Du, Y Chen, Y Wang, DL Lee, H Qu.
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2017
paper / slides

Services

  • Conference Reviewer: CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, AAAI, etc.
  • Journal Reviewer:TVCG, CGF, etc.

Design and source code from Jon Barron's website.