Y. Hao, V. Bellotti. OOTOMS: Outcome-Oriented Techniques for User’s Optimized Model Selections using Visualization Tools. Submitted to CHI Late-Breaking Work (LBW) 2022. 

Y. Hao, Mark Vaysiberg. Dynamic Strategies and Opponent Hands Estimations for Reinforcement Learning in Gin Rummy Game. Published in Advances in Intelligent Systems and Computing, Sep 2021. [pdf]  

Y. Hao. Models for Predicting Global Plastic Waste. Accepted in Rutgers University Research Journal (RURJ), Fall 2020. 

R. Cai, Z. Liang, B.Xu, Z. Li, Y. Hao, Y. Chen. TAG: Type Auxiliary Guiding for Comment Generation. Published in 58th Association for Computational Linguistics (ACL), 2020. [pdf]

R. Cai, W. Di, X. Chen, Y. Hao. Dual-Dropout Graph Convolutional Network for Predicting Synthetic Lethality in Human Cancers. Published in Bioinformatics, btaa211,2020. https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2019.0716

M. Wang, Y. Liang, L. Chen, Y. Hao, H. He, C. Li. Single Image Rain Removal with Reusing Original Input Squeeze-and-Excitation Network. Published in IET Image Processing, 2020.