Chuang Zhao (赵闯)

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.

Publications

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

[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)

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
• INFORMS Journal on Computing
  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)