About Me
I am a third-year undergraduate student in the Fuxi Class of Computer Science and Technology at the School of Computer Science and Technology, Guangdong University of Technology, advised by Prof. Yiqun Zhang. My research focuses on data mining, time series analysis, and unsupervised representation learning, with a particular interest in learning robust and interpretable representations from noisy, redundant, and dynamic multivariate time series data.
I have published 11 papers, with nearly 100 citations on Google Scholar. My work has appeared in venues including SIGKDD, AAAI, BIBM, PRICAI, IEEE Internet of Things Journal, TNNLS, and Neurocomputing, and spans applications such as time series clustering, early medical prediction, streaming data mining, and robust outlier detection. I also serve as the rank-1 host of a national-level undergraduate innovation project and have received honors including the National Scholarship and the National First Prize in the Chinese Collegiate Computing Competition.
Education
Research Interests
- Time Series Representation Learning
- Unsupervised Learning and Data Mining
News
- 2026: Our team won the Grand Prize in the Huashang Smart Performance: Global AI Scenario-Based Practical Innovation Competition. (The Highest Prize)
- 2026: One paper was accepted by SIGKDD 2026.
- 2026: One paper was accepted by AAAI 2026.
- 2025: One paper was accepted by IEEE Internet of Things Journal.
- 2025: One paper was accepted by IEEE BIBM 2025.
- 2025: One paper was accepted by PRICAI 2025.
- 2025: Our team won the Third Prize in the National “Challenge Cup” Competition.
- 2025: Our team won the First Prize in the National Finals of the China Collegiate Computing Competition. (The Highest Prize)
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Selected Publications
Conference Papers
Journal Papers
Projects
Complex Time Series Representation Learning
I serve as the host and rank-1 member of a national-level undergraduate innovation training project on complex time series representation learning, selected with a top 1% selection rate and completed with an outstanding evaluation. This project targets a central challenge in real-world temporal data: how to learn compact, discriminative, and semantically reliable representations from noisy, redundant, and heterogeneous multivariate time series signals.
My work develops a series of representation learning frameworks around multi-view enhancement, adaptive masking, redundancy suppression, and structure-preserving contrastive learning. Rather than treating time series as ordinary sequential inputs, this line of research focuses on identifying the sparse but decisive temporal patterns behind complex signals, with applications in unsupervised time series clustering, early medical time series prediction, and scalable temporal data mining.
This project has led to multiple first-author research outcomes, including papers accepted by AAAI 2026, BIBM 2025, and PRICAI 2025, as well as ongoing submissions to top-tier venues such as ICDE, SIGMOD, and TPAMI. The team also won the National First Prize in the Chinese Collegiate Computing Competition, where I served as the host and rank-1 member.
Robust Unsupervised Learning and Pattern Discovery
I also lead a Guangdong Provincial Tech Innovation Project on robust unsupervised learning for high-dimensional and dynamic data. The project was selected as one of only 13 projects university-wide and one of only two undergraduate projects, reflecting its competitiveness and research potential.
This research line studies how unsupervised models can remain reliable when data distributions are imbalanced, drifting, sparse, or contaminated by mixed outlier structures. My work focuses on unbiased subspace clustering, adaptive streaming data clustering, cluster imbalance, concept drift, and the joint detection of scattered and clustered outliers in complex IoT and dynamic data environments.
Representative outcomes include publications in IEEE Internet of Things Journal, IEEE Transactions on Neural Networks and Learning Systems, and Neurocomputing, covering robust outlier detection, imbalanced streaming data clustering, and subspace density-based clustering. The project also supported award-winning research recognized in the Challenge Cup competition, including a provincial grand prize and a national third prize.
Honors and Awards
Competitions and Research Awards
International Grand Prize, Huashang Smart Performance: Global AI Scenario-Based Practical Innovation Competition, 2026 Rank-2 member; The highest prize.
National First Prize, Chinese Collegiate Computing Competition, Big Data Track, 2025 Rank-1 member and project host; The highest prize; officially recommended by Prof. Xiaoyong Du.
National Third Prize, “Challenge Cup” National Undergraduate Academic Competition, Natural Science Academic Paper Track, 2025 Rank-3 member; advanced from the provincial grand prize team.
Provincial Grand Prize, Guangdong “Challenge Cup” Undergraduate Academic Competition, Natural Science Academic Paper Track, 2025 Top-ranked provincial award; The highest prize; officially recommended by Prof. Weiming Shen and Prof. Hongming Cai.
National Third Prize, “Challenge Cup” Technological Innovation Track, 2024 Core member.
Bronze Award / Provincial Third Prize, China International College Students’ Innovation Competition, Guangdong Division, 2024 Technological innovation track; core member.
Provincial Third Prize, Guangdong Contemporary Undergraduate Mathematical Contest in Modeling, 2024 Responsible for algorithm implementation and code development.
Provincial Third Prize, Lanqiao Cup C/C++ Programming Competition, Guangdong Region, 2024 Individual programming competition.
Scholarships and Academic Honors
National Scholarship, 2024–2025 One of the highest national-level scholarships for undergraduates in China.
PRICAI+IVCNZ Student Scholarship, 2025 International scholarship; recommended by Prof. Yiu-ming Cheung.
First Prize, NSFOCUS Public Welfare Foundation Education Scholarship, 2025 The only recipient in Guangdong University of Technology.
Lianji Outstanding Student Scholarship, 2025
Lianji Outstanding Team Scholarship, 2025 Received twice.
Ting Hsin Scholarship, 2025
37 Interactive Entertainment University Student Empowerment Scholarship, 2024
First-Class University Scholarship, Guangdong University of Technology, 2024
Third-Class University Scholarship, Guangdong University of Technology, 2025
Outstanding Student Leader Scholarship, Guangdong University of Technology, 2024
Academic Services
- Reviewer, IEEE Transactions on Emerging Topics in Computational Intelligence
- Reviewer, The Journal of Supercomputing
- Reviewer, IEEE International Conference on Bioinformatics and Biomedicine, 2024 & 2025
- Reviewer, Pacific Rim International Conference on Artificial Intelligence, 2025