Zihao He

Zihao is a fourth-year PhD candidate in computer science at Department of Computer Science and Information Sciences Insitute of University of Southern California (USC). He is advised by Prof. Kristina Lerman. He is generally interested in natural language processing, computational social science, and graph representational learning. Specifically, he works on discovering polarization from text using natural language processing.

Contact: zihaoh@usc.edu, zihaohe@isi.edu

Currículum Vitae    /    GitHub    /    Google Scholar   /    Linkedin   /    Twitter

Infusing Knowledge from Wikipedia to Enhance Stance Detection [Paper][Code]
Zihao He, Negar Mokhberian, Kristina Lerman
12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis (WASSA) @ ACL2022
Detecting Polarized Topics Using Partisanship-aware Contextualized Topic Embeddings [Paper][Code][Media Coverage]
Zihao He, Negar Mokhberian, António Câmara, Andres Abeliuk, Kristina Lerman
Findings of the Association for Computational Linguistics: EMNLP 2021
Speaker Turn Modeling for Dialogue Act Classification [Paper][Code]
Zihao He, Leili Tavabi, Kristina Lerman, Mohammad Soleymani
Findings of the Association for Computational Linguistics: EMNLP 2021
The emergence of heterogeneous scaling in research institutions [Paper]
Keith Burghardt, Zihao He, Allon Percus, Kristina Lerman
Communications Physics 4.1 (2021): 1-6
Training interpretable convolutional neural networks by differentiating class-specific filters [Paper][Code]
Haoyu Liang, Zhihao Ouyang, Yuyuan Zeng, Hang Su, Zihao He, Shu-Tao Xia, Jun Zhu, Bo Zhang
European Conference on Computer Vision (ECCV), 2020.
Graph Embedding with Personalized Context Distribution [Paper][Code]
Di Huang*, Zihao He*, Yuzhong Huang*, Kexuan Sun*, Sami Abu-El-Haija, Bryan Perozzi, Kristina Lerman, Fred Morstatter, Aram Galstyan
Companion Proceedings of the Web Conference, 2020
Automatic Grassland Degradation Estimation Using Deep Learning [Paper]
Xiyu Yan, Yong Jiang, Shuai Chen, Zihao He, Chunmei Li, Shu-Tao Xia, Tao Dai, Shuo Dong, Feng Zheng
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence (IJCAI), 2019
Attentiondrop for Convolutional Neural Networks [Paper]
Zhihao Ouyang, Yan Feng, Zihao He, Tianbo Hao, Tao Dai, Shu-Tao Xia
IEEE International Conference on Multimedia and Expo (ICME), 2019
Neural Style Transfer with Content Discrimination [Paper]
Xiyu Yan, Yeli Xing, Zihao He, Tao Dai, Yong Jiang, Shu-Tao Xia
IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 2019
Academic Services
Reviewer/PC Member CCS 2021
WWW 2021
WSDM 2021
KDD 2021
Teaching Experience
Spring 2022 Teaching Assistant, DSCI 531: Fairness in Artificial Intelligence, USC
08/2019-Present Doctor of Philosophy, Computer Science
University of Southern California, Los Angeles, CA, USA
09/2018-06/2019 Master of Science, Computer Technology (Transferred)
Tsinghua University, Beijing, China
09/2014-06/2018 Bachelor of Engineering, Communication Engineering
Beijing University of Posts and Telecommunications, Beijing, China
05/2022-08/2022 Research Intern
Tiktok, Mountain View, CA, USA
05/2021-08/2021 Applied Scientist Intern
Amazon, Seattle, WA, USA
05/2020-08/2020 Applied Scientist Intern
Amazon, Seattle, WA, USA
05/2020-08/2020 Algorithm Development Intern
Didi Chuxing, Beijing, China
Honors and Awards
2019 Annenberg Fellowship, University of Southern California