About Me

My name is Huixin Zhan. I am currently a Postdoctoral Scientist in the Division of Artificial Intelligence in Medicine at Cedars-Sinai Medical Center. Previously, I obtained my Ph.D. in Computer Science in the Department of Computer Science at Texas Tech University, where I am fortunately advised by Prof. Victor Sheng. I earned my MS at the University of Texas at San Antonio, and I earned my BEng at Nanjing University of Science and Technology.

In general, I am interested in machine learning, knowledge graph, graph neural networks, text summarization, and security & privacy in text mining.

Recent News

• [Jan, 2024]. Invited to serve as a TPC reviewer for IJCNN-2024, and a reviewer for ACM Transactions on Human-Robot Interaction!
• [Oct, 2023]. Invited to serve as a PC member for AAAI-2024, SDM-2024, and ICKG-2023!
• [Aug, 2023]. "Simplex2vec Backward: From Vectors Back to Simplicial Complex" is accepted by CIKM-2023!
• [Jul, 2023]. Invited to serve as a PC member for IEEE-SMC 2023 and HICSS-2024, as well as a subreviewer for CIKM-2023!
• [Jul, 2023]. Start a new job as a Postdoctoral Scientist at Cedars-Sinai!
• [Apr, 2023]. Invited to serve as a PC member for IJCAI-2023!
• [Dec, 2022]. Received the AAAI-23 Student Scholarship!
• [Dec, 2022]. Invited to serve as a Program Committee (PC) member for KDD-2023 Research Track!
• [Dec, 2022]. "Measuring the Privacy Leakage via Graph Reconstruction Attacks on Simplicial Neural Networks" has been selected as one of the finalists!
• [Nov, 2022]. "Measuring the Privacy Leakage via Graph Reconstruction Attacks on Simplicial Neural Networks" is accepted by AAAI-2023 Student Abstract and Poster Program!
• [Nov, 2022]. "Privacy-Preserving Representation Learning for Text-Attributed Networks with Simplicial Complexes" is accepted by AAAI-2023 Doctoral Consortium!
• [Nov, 2022]. "Towards Fair and Selectively Privacy-Preserving Models Using Negative Multi-Task Learning" is accepted by AAAI-2023 Student Abstract and Poster Program!