News
22 August 2024
I serve as the invited reviewer for Information Processing & Management (IPM).
28 July 2024
I'm honored to receive the China Scholarship Council (CSC) Joint Doctoral Scholarship.
25 March 2024
One first-author paper is accepted by SIGIR, on medication recommendation. Thanks for all co-authors!
29 June 2024
I serve as the invited reviewer for IEEE Transactions on Knowledge and Data Engineering (TKDE).
01 October 2023
One first-author paper is accepted by TKDE on Recommendation Debias. Thanks for all co-authors!
16 September 2023
I serve as the invited reviewer for ACM International Conference on Information and Knowledge Management (CIKM).
18 November 2022
I serve as the invited reviewer for ACM Transactions on Information Systems (TOIS).
|
Zihao Zhao
PhD Student
Department of Electronic Engineering and Information Science • GitHub • Google Scholar • CV • Blog
|
I'm currently pursuing my PhD at University of Science and Technology of China (USTC) under the guidance of Prof. Xiangnan He and Prof. Fuli Feng. Prior to this, I obtained my Bachelor's degree in Electronic Information from USTC under the supervision of Prof. Xiangnan He. Now, my research interest lies in AI4Healthcare and Large Language Models.
Especially, I want to explore AI models such as LLMs with the ability to effectively analyze and interpret complex medical data, assist in diagnostics, and enhance patient communication.
I have two publications that appeared in the top conference SIGIR (ACM Special Interest Group on Information Retrieval) and journal TKDE (IEEE Transactions on Knowledge and Data Engineering).
Moreover, I have served as invited reviewer for ACM TOIS, ACM CIKM, ACM TKDE, IPM, etc.
Publications
|
Leave no patient behind: Enhancing medication recommendation for rare disease patients
Zihao Zhao, Yi Jing, Fuli Feng, Jiancan Wu, Chongming Gao & Xiangnan He ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024, Full) pdf Codes Blog |
|
Popularity Bias is not Always Evil: Disentangling Benign and Harmful Bias for Recommendation
Zihao Zhao*, Jiawei Chen, Sheng Zhou, Xiangnan He, Xuezhi Cao, Fuzheng Zhang & Wei Wu
IEEE Transactions on Knowledge and Data Engineering (TKDE 2023, Full) pdf Code |
Experiences
|
Visiting PHD Program, LIACS, Leiden University, Netherlands, October 2024 - Now Advisor: Prof. Suzan Verberne, Prof. Zhaochun Ren |
|
Summer Research Intern, University of Technology Sydney, Sydney, Australia, July 2019 - September 2019 Advisor: Prof. Min Xu |
Projects & Research
|
Project: AI4Healthcare: Enhancing Medication Recommendation for Rare Disease Patients Period : Oct. 2022 - Aug. 2023 Advisor: Prof. Xiangnan He (USTC), Prof. Fuli Feng (USTC) - Propose a novel medication recommendation framework for rare disease patients, which can effectively alleviate the data sparsity issue. - Design a novel attention mechanism to capture the importance of different medical records for medication recommendation. - Conduct extensive experiments on a real-world dataset from a top-tier hospital, demonstrating the effectiveness of the proposed framework. |
|
Project: Disentangling Benign and Harmful Bias for Recommendation Period : Mar. 2021 - Mar. 2022 Advisor: Prof. Xiangnan He (USTC), Prof. Jiawei Chen (ZJU) - Investigate the popularity bias in recommendation systems, aiming to disentangle the benign and harmful bias for recommendation. - Propose a novel framework to model the popularity bias, which can effectively alleviate the overexposure issue in recommendation. - Conduct extensive experiments on two real-world datasets, demonstrating the effectiveness of the proposed framework. |
Education
|
University of Sicence and Technology of China (USTC) PHD in Electronic and Information Engineering, School of Information Science and Technology Sep 2022 - Present, Hefei, China Advisor: Prof. Xiangnan He & Prof. Fuli Feng |
|
University of Sicence and Technology of China (USTC) Master in Electronic and Information Engineering, School of Information Science and Technology Sep 2020 - Jul 2022, Hefei, China Advisor: Prof. Xiangnan He & Prof. Fuli Feng |
|
University of Sicence and Technology of China (USTC) Bachelor in Electronic Information, School of Information Science and Technology Sep 2016 - Jul 2020, Hefei, China Advisor: Prof. Xiangnan He |
|
Henan Tongxu county senior high school Sep 2013 - Jun 2016, Kaifeng, China |
Services & Awards & Patents
|
Invited Reviewer for ACM Transactions on Information Systems (TOIS), ACM International Conference on Information and Knowledge Management (CIKM), IEEE Transactions on Knowledge and Data Engineering (TKDE), and Information Processing & Management (IPM). |
|
China Scholarship Council (CSC) Joint Doctoral Scholarship, 2024
- Chinese Scholarship Council, China. |
|
National Encouragement Scholarship, 2019
- University of Science and Technology of China, China. |
|
First Class Academic Scholarship, 2020 & 2021 & 2022 & 2023
- University of Science and Technology of China, China |
|
Outstanding Student Scholarship, 2017 & 2018 & 2019
- University of Science and Technology of China, China |
|
Patent
- Zihao Zhao, Xuezhi Cao, Wei Wu. Developed methods, devices, electronic equipment, and storage media for recommending model training. CN. Patent Application CN202210446818.0, filed in August 2022, and issued in May 2023. |
|
Patent
- Xiangnan He, Zihao Zhao, Fuli Feng. Proposing an intelligent drug recommendation method, device, and medium for rare diseases. CN. Patent Application CN202311481544.X, filed in November 2023, and issued in May 2024. |
Teaching Assistants
| Foundations of Data Science, under the guidance of Prof. Xiangnan He 2021 Semester 1 |
Useful Links
| USTC Lab for Data Science |
| Prof. Fuli Feng |
| Prof. Xiangnan He |
Webpage template borrowed from Prof. Xiangnan He.