Chuang Zhao (赵闯)

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
Collaborators: Prof. Yong Ge (Arizona), Prof. Hui Xiong (HKUST-GZ)

Email: czhaobo [AT] connect [dot] ust [dot] hk

Actively seeking collaborators in Healthcare and Recommender Systems — feel free to reach out!

GitHub Google Scholar ResearchGate DBLP CSDN Column

News

05/2025
One paper accepted by KDD! Congratulations.
12/2024
Passed the PQE! Thrilling achievement.
07/2024
One paper accepted by TKDE! Congratulations.
05/2024
One paper accepted by TSMC! Congratulations.
10/2023
One paper accepted by TKDE! Congratulations.
01/2023
One paper accepted by WWW2023! Congratulations.
11/2022
Decided to join HKUST to pursue PhD under Prof. Xiaomeng Li.

Full List →

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 and are not listed here.

[TNNLS 2025]

Enhancing Domain Generalization in Medical Image Segmentation With Global and Local Prompts

Chuang Zhao, Xiaomeng Li

IEEE Transactions on Neural Networks and Learning Systems, Accepted. (CCF B类期刊)

[TWeb 2025]

Cross-domain Transfer of Valence Preferences via a Meta-optimization Approach

Chuang Zhao, Hongke Zhao, Ming He, Xiaomeng Li, Jianping Fan

ACM Transactions on the Web, Accepted. (CCF B类期刊)

[TKDE 2025]

Collaborative Knowledge Fusion: A Novel Method for Multi-task Recommender Systems via LLMs

Chuang Zhao, Xing Su, Hongke Zhao, Ming He, Jianping Fan, Xiaomeng Li

IEEE Transactions on Knowledge and Data Engineering, Accepted. (CCF A类期刊)

[KDD 2025]

Diffmv: A Unified Diffusion Framework for Healthcare Predictions with Random Missing Views and View Laziness

Chuang Zhao, Hui Tang, Hongke Zhao, Xiaomeng Li

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD’25), Accepted. (CCF A类会议, Acceptance Rate：18.4%)

[TOIS 2025]

Beyond Sequential Patterns: Rethinking Healthcare Predictions with Contextual Insights

Chuang Zhao, Hui Tang, Hongke Zhao, Xiaomeng Li

ACM Transactions on Information Systems (TOIS’25), Accepted. (CCF A类期刊)

[NAACL 2025]

Instruct-of-Reflection: Enhancing Large Language Models Iterative Reflection Capabilities via Dynamic-Meta Instruction

Liping Liu, Chunhong Zhang, Likang Wu, Chuang Zhao, Zheng Hu, Ming He, Jianping Fan

The 2025 Annual Conference of the Nations of the Americas Chapter of the ACL (NAACL’25), Accepted. (CCF B类会议, Acceptance Rate：22%)

[WWW 2025]

Unveiling Discrete Clues: Superior Healthcare Predictions for Rare Diseases

Chuang Zhao, Hui Tang, Jiheng Zhang, Xiaomeng Li

ACM Web Conference 2025 (WWW’25), Accepted. (CCF A类会议, Oral rate: 5.42%)

[TKDE 2024]

Enhancing Precision Drug Recommendations via In-depth Exploration of Motif Relationships

Chuang Zhao, Hongke Zhao, Xiaofang Zhou, Xiaomeng Li

IEEE Transactions on Knowledge and Data Engineering, Accepted. (CCF A类期刊)

[SIGKDD 2024]

Performative Debias with Fair-exposure Optimization Driven by Strategic Agents in Recommender Systems

Zhicheng Xiang, Hongke Zhao, Chuang Zhao, Ming He, Jianping Fan

ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2024 (SIGKDD'24). (CCF A类会议, Acceptance Rate：20%)

[TSMC 2024]

Bi-discriminator Domain Adversarial Neural Networks with Class-Level Gradient Alignment

Chuang Zhao, Hongke Zhao, Hengshu Zhu, Zhenya Huang, Nan Feng, Enhong Chen, Hui Xiong

IEEE Transactions on Systems, Man, and Cybernetics: Systems, Accepted. (CCF B类期刊)

[TKDE 2023]

Cross-Domain Recommendation via Progressive Structural Alignment

Chuang Zhao, Hongke Zhao, Xiaomeng Li, Ming He, JiahuiWang, Jianping Fan

IEEE Transactions on Knowledge and Data Engineering, Accepted. (CCF A类期刊)

[CIKM 2023]

Sequential recommendation via an adaptive cross-domain knowledge decomposition

Chuang Zhao, Xinyu Li, Hongke Zhao, Ming He, Jianping Fan

Conference on Information and Knowledge Management 2023 (CIKM’23), Accepted. (CCF B类会议, Acceptance Rate: 24%)

[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%)

[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)

[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%)

[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]

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%)

[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)

[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%)

[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)

Research Knowledge Graph

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

Internship

Beijing
Research Intern (Mentor: Ming He)
Lenovo AI Lab, Beijing, China, 5/2022 – 8/2023
Hangzhou
Research Intern (Mentor: Runze Wu)
NetEase Games, Hangzhou, China, 12/2020 – 05/2022

Academic Services

Conference Reviewer
WSDM 2022
SIGKDD 2024
SIGKDD 2025, ICLR 2025, WWW 2025, SIGIR 2025, NIPS 2025, ACL 2025
SIGKDD 2026, WSDM 2026, AAAI 2026, WWW 2026, ICML 2026
Journal Reviewer
PeerJ Computer Science
Information Science
Neural Networks
Information Processing and Management
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Systems, Man, and Cybernetics: Systems
IEEE Transactions on Learning Technologies
Journal of Computer Science and Technology
Expert Systems With Applications
Knowledge-based Systems
Electronic Commerce Research and Applications
Multimedia Systems
IEEE Transactions on Big Data
Scientific Reports
ACM Transactions on Information Systems

Recent Honors and Awards

2025: Outstanding Reviewer for KDD
2024: Excellent Reviewer for KDD
2023: Outstanding thesis award of TJU
2022 & 2021: First-class Scholarship of TJU (Top 1%)
2021: National Graduate Student Mathematical Modeling (Third Prize)
2021: Merit Student of TJU
2020: National Encouragement Scholarship (Top 1%)
2020: Outstanding Student Leaders
2019: Liaoning Province Contemporary Undergraduate Mathematical Contest in Modeling (First Prize)
2019: Liaoning Province Internet plus entrepreneurship competition (First Prize)
2019: National Social Practice Activities (First Prize)