I am a second year Computer Science Ph.D. student at University of Illinois, Urbana-Champaign (UIUC).
I work as a research assistant in Secure Learning Lab
supervised by Prof. Bo Li.
My research interests are machine learning (ML) and natural language processing (NLP),
especially understanding existing machine learning models via adversarial approaches and designing robust
ML models to reason over real-world semantic correlations.
[2020/9] One paper got accepted to EMNLP 2020.
[2020/8] I am invited to serve as a PC member for AAAI-21.
[2020/5] I am excited to join Microsoft Research in summer as a research intern. Look forward to seeing you in Seattle!
T3: Tree-Autoencoder Regularized Adversarial Text Generation for Targeted Attack
Boxin Wang, Hengzhi Pei, Boyuan Pan, Qian Chen, Shuohang Wang and Bo Li
Reinforcement-Learning based Portfolio Management with Augmented Asset Movement Prediction States
Yunan Ye, Hengzhi Pei, Boxin Wang, Pin-Yu Chen, Yada Zhu, Jun Xiao, Bo Li
Efficient task-specific data valuation for nearest neighbor algorithms
Ruoxi Jia*, David Dao*, Boxin Wang, Frances Ann Hubis, Nick Hynes, Nezihe Merve Gürel, Bo Li, Ce Zhang, Costas J. Spanos, Dawn Song
Towards efficient data valuation based on the shapley value
Ruoxi Jia*, David Dao*, Boxin Wang, Frances Ann Hubis, Nick Hynes, Nezihe Merve Gürel, Bo Li, Ce Zhang, Dawn Song, Costas J. Spanos