Pengtao Xie

Xie is an assistant professor at UC San Diego. He served as an associate vice-president at Petuum Inc. He serves as area chair for ICML, CVPR, ICCV, NAACL, etc. His Ph.D. thesis was selected as a top-5 finalist for the AMIA Doctoral Dissertation Award.

He is the recipient of the Amazon AWS Faculty Award, Tencent AI-Lab Faculty Award, Tencent WeChat Faculty Award, the Innovator Award presented by the Pittsburgh Business Times, the Siebel Scholars award. He has two granted patents and another seven under review.

• Ph.D. in computer science from Carnegie Mellon University, USA.
• Master’s in computer science from Tsinghua University, China.

• Finalist (top 5) for AMIA Doctoral Dissertation Award.
• Amazon AWS Research Award.
• Tencent AI-Lab Faculty Award.
• Tencent Faculty Award.
• Google Cloud Research Credits.
• Top Reviewer for ICML 2020.
• Innovator Award, 2018 (presented by the Pittsburgh Business Times).
• 1st Place (out of 400-plus participating teams) in both Defenses and Targeted Attacks, 3rd Place in Untargeted Attacks, in NIPS Adversarial Vision Challenge, 2018.
• Siebel Scholarship, 2014 (85 graduate students from around the world).

Xie has authored or co-authored more than 130 research papers with more than 3500 citations.

• Xuefeng Du and Pengtao Xie. Performance-Aware Mutual Knowledge Distillation for Improving Neural Architecture Search. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
• Youwei Liang, Chongjian Ge, Zhan Tong, Yibing Song, Jue Wang, and Pengtao Xie. EViT: Expediting Vision Transformers via Token Reorganizations. International Conference on Learning Representations (ICLR), 2022. (Spotlight Presentation).
• Sai Somayajula and Pengtao Xie. A Multi-Level Optimization Framework for End-to-End Text Augmentation. Transactions of the Association for Computational Linguistics (TACL), 2021.
• Jiayuan Huang, Yangkai Du, Shuting Tao, Kun Xu, and Pengtao Xie. Structured Pretraining for Commonsense Generation. Transactions of the Association for Computational Linguistics (TACL), 2021.
• Meng Zhou, Zechen Li and Pengtao Xie. Self-supervised Regularization for Text Classification. Transactions of the Association for Computational Linguistics (TACL), 2021.
• Pengtao Xie, Wei Wu, Yichen Zhu, and Eric P. Xing. Orthogonality-Promoting Distance Metric Learning: Convex Relaxation and Theoretical Analysis. The 35th International Conference on Machine Learning (ICML), 2018. (Long Oral Presentation).