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. Prior to joining shlab, I worked at Tencent, and interned at Uber SF, MSRA and TuSimple.

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.