Yizhou Zhang

Ph.D Candidate in Computer Science

University of Southern California

About Me

I am a Ph.D. student advised by Prof. Yan Liu at the Department of Computer Science, Viterbi School of Engineering, University of Southern California. Before that, I received my Bachelor of Science degree from Peking University. During my undergraduate time, I researched with Prof. Guojie Song on Graph Representation Learning. I also spent a summer in MILA for short research advised by Prof. Jian Tang.

My research interests mainly focus on machine learning and its application to social networks and social media. I developed machine learning models and algorithms to help people understand social networks and social media from different aspects, such as how to transfer the knowledge across different social networks, how to identify coordinated accounts and how to estimate the causal effect of misinformation (e.g. rumors and fake news) on user behaviours.

I have been reviewers/meta-reviewers for the following academic venues:

SPC(meta-reviewer): AAAI 2023
PC/Reviewer: IJCAI 2021, NeurIPS 2021, ICML 2022, NeurIPS 2022, SDM 2023

I am on the job market this year (2023 and 2024) and actively looking for academic positions

Download my resumé.

Interests

Machine Learning
Graph Representation Learning
Time Series Analysis
Social Media Analysis

Education

PhD in Computer Science, 2019 - present
University of Southern California
BSc in Computer Science (Summa Cum Laude), 2015 - 2019
Peking University

Experience

Research Intern

NEC Laboratories America

May 2022 – Aug 2022 Princeton, New Jersey

Recent Publications

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Yizhou Zhang, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Liang Tong, Hiafeng Chen, Yan Liu (2023). Hierarchical Gaussian Mixture based Task Generative Model for Robust Meta-Learning. In NeurIPS 2023.

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Yizhou Zhang, Karishma Sharma, Yan Liu (2023). Capturing Cross-Platform Interaction for Identifying Coordinated Accounts of Misinformation Campaigns. In ECIR 2023.

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Yizhou Zhang, Zhaoheng Zheng, Ram Nevatia, Yan Liu (2022). Improving Weakly Supervised Scene Graph Parsing through Object Grounding. In ICPR 2022 (Submitted to ICLR 2021, which is earlier than ICCV 2021).

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Yizhou Zhang, Defu Cao, Yan Liu (2022). Counterfactual Neural Temporal Point Process for Estimating Causal Influence of Misinformation on Social Media. In NeurIPS 2022.

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Karishma Sharma, Yizhou Zhang, Yan Liu (2022). COVID-19 Vaccine Misinformation Campaigns and Social Media Narratives. In ICWSM 2022.

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Yizhou Zhang, Karishma Sharma, Yan Liu (2021). VigDet: Knowledge Informed Neural Temporal Point Process for Coordination Detection on Social Media. In NeurIPS 2021.

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Nitin Kamra, Yizhou Zhang, Sirisha Rambhatla, Chuizheng Meng, Yan Liu (2021). PolSIRD: Modeling Epidemic spread under intervention policies. In JHIR.

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Karishma Sharma, Yizhou Zhang, Emilio Ferrara, Yan Liu (2021). Identifying Coordinated Accounts on Social Media through Hidden Influence and Group Behaviours. In KDD 2021.

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Guojie Song, Yizhou Zhang, Lingjun Xu, Haibing Lu (2020). Domain Adaptive Network Embedding. In TBD.

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Lichen Jin, Yizhou Zhang, Guojie Song, Yilun Jin (2020). Active Domain Transfer on Network Embedding. In TheWebConf 2020.

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Yizhou Zhang, Guojie Song, Lun Du, Shuwen Yang, Yilun Jin (2019). DANE: Domain Adaptive Network Embedding. In IJCAI 2019.

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Yizhou Zhang, Xiaojun Ma, Guojie Song (2018). Chinese Medical Concept Normalization by Using Text and Comorbidity Network Embedding. In ICDM 2018.

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