Chuang Zhao
Claw Status

(Eric) C. Zhao

PhD Candidate of Electronic and Computer Engineering
Hong Kong University of Science and Technology (HKUST) (Since 12/2024)
Research Interests: AI for Science, Agentic Modeling, Information Retrieval

Advisors: Prof. Xiaomeng Li (Primary), Prof. Xiaofang Zhou (Co-supervised)
Master Advisor: Prof. Hongke Zhao

Email: czhaobo [AT] connect [dot] ust [dot] hk
Actively seeking collaborators in Healthcare and Recommender Systems — feel free to reach out!
GitHub Google Scholar CSDN Column

News

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Current Research Keywords

My research focuses on developing novel machine learning algorithms for real-world applications, with a particular emphasis on:

AI for Healthcare Generative Recommendation AI for Marketing Heterogeneous Graph LLM Reasoning Agent Evolving Reinforced Learning Retrieval-augmented Generation

Publications

Several papers are currently under review / published and are not listed here. Please refer to my Google Scholar for the latest publications.

[WWW 2023]
Cross-domain recommendation via user interest alignment
Chuang Zhao, Hongke Zhao, Ming He, Jian Zhang, Jianping Fan
ACM Web Conference 2023 (WWW’23), Accepted. (CCF A类会议, Acceptance Rate：22%)
WWW 2023 Framework
[JOC 2022]
An Ensemble Learning Approach with Gradient Resampling for Class-imbalanced problems
Hongke Zhao, Chuang Zhao, Xi Zhang*, Nanlin Liu, Hengshu Zhu, Qi Liu, Hui Xiong
INFORMS journal on Computing (JOC), Accepted. (UTD24期刊，CCF B类期刊)
JOC 2022 Framework
[WWW 2022]
Winning Tracker: A New Model for Real-time Winning Prediction in MOBA Games
Chuang Zhao, Hongke Zhao, Yong Ge, Runze Wu, Xudong Shen
ACM Web Conference 2022 (WWW’22), Accepted. (CCF A类会议, Acceptance Rate：22%)
WWW 2022 Framework
[AAAI 2022]
Multi-dimensional Prediction of Guild Health in Online Games: A Stability-Aware Multi-task Learning Approach
Chuang Zhao, Hongke Zhao, Runze Wu, Qilin Deng, Yu Ding, JianRong Tao, Changjie Fan
36th AAAI Conference on Artificial Intelligence (AAAI'22), Accepted. (CCF A类会议，Acceptance Rate：14.6%)
AAAI 2022 Framework 1
[AAAI 2022]
Co-Promotion Predictions of Financing Market and Sales Market: A Cooperative-Competitive Attention Approach
Lei Zhang, Xiang Wang, Chuang Zhao, Hongke Zhao, Rui Li, Runze Wu
36th AAAI Conference on Artificial Intelligence (AAAI'22), Accepted. (CCF A类会议，Acceptance Rate：14.6%)
AAAI 2022 Framework 2
[TEVC 2022]
CoEA: A Cooperative–Competitive Evolutionary Algorithm for Bidirectional Recommendations
Hongke Zhao, Xinpeng Wu, Chuang Zhao, Lei Zhang, Haiping Ma, Fan Cheng
IEEE Transactions on Evolutionary Computation (IEEE TEVC), 26(1), 28-42, 2022. (IF:11.169, ABS 4, CCF B类期刊)
TEVC 2022 Framework
[ICIS'20]
A Machine Learning Method for Measuring Information Disclosure in Sharing Economy Platforms
Xin Wei, Wei He, Xi Zhang, Chuang Zhao, Hongke Zhao
Forty-First International Conference on Information Systems (ICIS’20), India 2020, Accepted. (Acceptance Rate：28%)
ICIS 2020 Framework
[JSSMS 2020]
Fresh Food Logistics Risk Assessment Based on Bayesian Network
Chuang Zhao, Lang Kun
Journal of Systems Science and Mathematical Sciences (JSSMS), 2020, 40(11), 2108. (CSCD, 北大核心)
JSSMS 2020 Framework

Research Knowledge Graph

Interactive visualization of my research publications, journals, and key research topics (drag to move, scroll to zoom).

Internship

Academic Services

Recent Honors and Awards