Xiaodan Liang
Visiting Associate Professor of Computer Vision
Research interests
Professor Liang’s research is focused on developing interpretable and explainable neural-symbolic reasoning techniques for boosting vision and cross-modal understanding tasks (open-world detection/segmentation, robotic interaction and digital human) which will provide trustworthy and robust systems for real-world applications. Email
Prior to joining MBZUAI, Professor Liang was a project scientist at Carnegie Mellon University. Professor Liang is an associate professor at the School of Intelligent Systems Engineering, Sun Yat-sen University.
Professor Liang served as area chair of ICCV 2019, CVPR 2020, NeurIPS 2021-2022, WACV 2021, Tutorial Chair (Organization committee) of CVPR 2021, and Ombud Committee of CVPR 2023. She has been awarded the ACM China and CCF Best Doctoral Dissertation Award, the Alibaba DAMO Academy Young Fellow (Top 10 under 35 in China), and the ACL 2019 Best Demo paper nomination.
Professor Liang is named one of the young innovators 30 under 30 by Forbes (China). She and her collaborators have also published the largest human parsing dataset to advance the research on human understanding, and successfully organized four workshops and challenges on CVPR 2017, CVPR 2018, CVPR 2019, CVPR 2020. She also organized ICML 2019 and ICLR 2021 workshops respectively.
- Ph.D. in computer science and technology from the Carnegie Mellon University, USA
- Bachelor in electronics and science and technology from Sun Yat-sen University, China
- Forbes 30 Under 30 Scientists in China, 2020
- Shiqingyun Woman Young Fellow 2019
- Wuwenjun AI Outstanding Young Fellow 2019
- Alibaba DAMO Academy Young Fellow (Top 10 under 35) 2019
- UK’s Innovation Foundation Top 20 Women AI scientist, 2019
- ACM China Best Doctoral Dissertation Award (selected two in china), 2017
- CCF Best Doctoral Dissertation Award (selected 10 in china)，2017
- NVIDIA Pioneering Research Award on NIPS 2017
- Excellent Doctoral Dissertation Award, 2016
- National Scholarship, China, 2014-2015
- Postgraduate Studentship, Sun Yat-sen University, 2011-2014
- Academic Excellence Award, Sun Yat-sen University, 2007-2011
Liang has published more than 80 cutting-edge papers which have appeared in the most prestigious journals and conferences in the field - Google Citation 15,000+.
- Xiaodan Liang, Si Liu, Xiaohui Shen, Jianchao Yang, Luoqi Liu, Jian Dong, Liang Lin, Shuicheng Yan. Deep Human Parsing with Active Template Regression. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), Volume 37, Issue 12, 2015.
- Xiaodan Liang, Yunchao Wei, Xiaohui Shen, Jianchao Yang, Liang Lin, Shuicheng Yan. Proposal-free Network for Instance-level Object Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), Accepted 2017
- Xiaodan Liang, Yunchao Wei, YunPeng Chen, Jianchao Yang, Liang Lin, Shuicheng Yan. Learning to Segment Human by Watching YouTube. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 39(7): 1462-1468, 2017.
- Xiaodan Liang, Chunyan Xu, Xiaohui Shen, Jianchao Yang, Jinhui Tang, Liang Lin, Shuicheng Yan. Human Parsing with Contextualized Convolutional Neural Network. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 39(1): 115-127, 2017.
- Xiaodan Liang, Liang Lin, Qingxing Cao, Rui Huang, and Yongtian Wang. Recognizing Focal Liver Lesions in CEUS with Dynamically Trained Latent Structured Models. IEEE Transactions on Medical Imaging (T-MI), 35(3): 713-727, 2016.
- Xiaodan Liang, Liang Lin, Wei Yang, Ping Luo, Junshi Huang, and Shuicheng Yan. Clothes Co-Parsing via Joint Image Segmentation and Labeling with Application to Clothing Retrieval. IEEE Transactions on Multimedia (T-MM), 18(6): 1175-1186, 2016.
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