Chuang Zhao's Homepage

Chuang Zhao 赵闯

I am a Phd student of Electronic and Computer Engineering at HKUST(香港科技大学) since 09/2023.
I focus on AI for Science, Transfer Learning, and Recommendation System.
My current advisor is Prof. Xiaomeng Li, co-supervised by Prof.Xiaofang Zhou. My master advisor is Prof. Hongke Zhao.
I also work closely with Prof. Yong Ge from Arizona and Prof. Hui Xiong from HKUST(Guang Zhou).

Contact: zhaochuang [AT] tju [dot] edu [dot] cn

GitHub / Google Scholar / ResearchGate / DBLP / CSDN Column

News

05/2024	One paper Accepted by TSMC! Congratulations.
10/2023	One paper Accepted by TKDE! Congratulations.
08/2023	One paper Accepted by CIKM2023! Congratulations.
03/2023	Submit One paper to TPAMI! Good luck!
01/2023	One paper Accepted by WWW2023! Congratulations.
11/2022	I have decided to join HKUST to pursue my Phd, supervised by Prof Xiaomeng Li.
Full List

Publications

2024

[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)
Paper / Code

[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)
Paper / Code

2023

[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)
Paper / Code

[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)
Paper / Code

[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)
Paper / Code

2022

[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)
Paper / Code

[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)
Paper / Code

[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：1349/9251=14.6%)
Paper / Appendix / Code

[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：1349/9251=14.6%)
Paper / Code

[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)
Paper / Code

2020

[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%)
Paper / Code

[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)
Paper / Code

Internship

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

Academic Services

Conference Reviewer	WSDM 2022 SIGKDD 2024
Journal Reviewer	Journal of Computer Science and Technology Electronic Commerce Research and Applications Multimedia Systems

Recent Honors and Awards

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).