Zihao He

Zihao is a fifth-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

Preprints
How Susceptible are Large Language Models to Ideological Manipulation? [Paper]
Kai Chen, Zihao He, Jun Yan, Taiwei Shi, Kristina Lerman
Whose Emotions and Moral Sentiments Do Language Models Reflect? [Paper]
Zihao He, Siyi Guo, Ashwin Rao, Kristina Lerman
Characterizing Online Eating Disorder Communities with Large Language Models [Paper]
Minh Duc Chu, Aryan Karnati, Zihao He, Kristina Lerman
IsamasRed: A Public Dataset Tracking Reddit Discussions on Israel-Hamas Conflict [Paper][Code]
Kai Chen, Zihao He, Keith Burghardt, Jingxin Zhang, Kristina Lerman
Affective Polarization and Dynamics of Information Spread in Online Networks [Paper]
Kristina Lerman, Dan Feldman, Zihao He, Ashwin Rao
The Pulse of Mood Online: Unveiling Emotional Reactions in a Dynamic Social Media Landscape [Paper]
Siyi Guo, Zihao He, Ashwin Rao, Fred Morstatter, Jeffrey Brantingham, Kristina Lerman
Selected Publications
Reading Between the Tweets: Deciphering Ideological Stances of Interconnected Mixed-Ideology Communities [Paper][Code]
Zihao He, Ashwin Rao, Siyi Guo, Negar Mokhberian, Kristina Lerman
Findings of EACL 2024
CPL-NoViD: Context-Aware Prompt-based Learning for Norm Violation Detection in Online Communities [Paper]
Zihao He, Jonathan May, Kristina Lerman
ICWSM 2024
Anger breeds controversy: Analyzing controversy and emotions on reddit [Paper]
Kai Chen, Zihao He, Rong-Ching Chang, Jonathan May, Kristina Lerman
SBP-BRiMS 2023
Measuring Online Emotional Reactions to Offline Events [Paper]
Siyi Guo, Zihao He, Ashwin Rao, Eugene Jang, Yuanfeixue Nan, Fred Morstatter, Jeffrey Brantingham, Kristina Lerman
ASONAM 2023
ALCAP: Alignment-Augmented Music Captioner [Paper][Code]
Zihao He, Weituo Hao, Wei-Tsung Lu, Changyou Chen, Kristina Lerman, Xuchen Song
EMNLP 2023
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 EMNLP 2021
Speaker Turn Modeling for Dialogue Act Classification [Paper][Code]
Zihao He, Leili Tavabi, Kristina Lerman, Mohammad Soleymani
Findings EMNLP 2021
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
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 WWW 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
IJCAI 2019
Attentiondrop for Convolutional Neural Networks [Paper]
Zhihao Ouyang, Yan Feng, Zihao He, Tianbo Hao, Tao Dai, Shu-Tao Xia
ICME 2019
Neural Style Transfer with Content Discrimination [Paper]
Xiyu Yan, Yeli Xing, Zihao He, Tao Dai, Yong Jiang, Shu-Tao Xia
ICME Workshops 2019
Academic Services
Reviewer/PC Member ACL, EMNLP, NAACL, EACL, ACL Rolling Review, KDD, WWW, ICWSM
Teaching Experience
Spring 2022 Teaching Assistant, DSCI 531: Fairness in Artificial Intelligence, USC
Spring 2024 Teaching Assistant, CSCI 566: Deep Learning and its Applications, USC
Education
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
Experience
05/2023-08/2023 Research Intern
Tiktok, Mountain View, CA, USA
05/2021-08/2021 Applied Scientist Intern
Amazon, Seattle, WA, USA
05/2020-08/2020 Algorithm Development Intern
Didi Chuxing, Beijing, China