My name is Haoyu Zhang (åž įåŪ). I am currently pursuing a Ph.D. in the Department of Computer Science at the College of Computing, City University of Hong Kong (September 2025 - present). I completed my undergraduate studies in Financial Mathematics at Zhongnan University of Economics and Law (September 2021 - June 2025). Since July 2026, I have been interning at Tencent, Shenzhen, focusing on AI Infra, including CUDA kernel development and optimization for large-scale model training and inference. My research interests include spatiotemporal data mining, graph neural networks, AI for science, and large language models.
ðĨ News
- 2026.08: Â ðð A paper is accepted by IEEE TPAMI.
- 2026.07: Â ðž Started internship at Tencent, Shenzhen.
- 2025.09: Â ðð A paper is accepted by NeurIPS 2025.
ð Publications Google Scholar Citations: â
Journal Papers
- CCF A, Q1 Top, IF 20.8 Pattern in Motion: Retrieval-Augmented Learning for Dynamic Spatio-Temporal Graphs. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2026.
- CCF A, Q1 Top, IF 9.9 SCING: Towards More Efficient and Robust Person Re-Identification through Selective Cross-Modal Prompt Tuning. IEEE Transactions on Multimedia, 2026.
- CCF B, Q1 Top, IF 7.9 IMCSN: An improved neighborhood aggregation interaction strategy for multi-scale contrastive Siamese networks. Pattern Recognition, 2025.
- CCF C, Q1 Top, IF 7.6 ConUMIP: Continuous-time dynamic graph learning via uncertainty masked mix-up on representation space. Knowledge-Based Systems, 2024.
- CCF B, Q1 Top, IF 9.5 Contrastive Learning-Based Deep Embedded Clustering and the TCN-DMAttention Model for Traffic Congestion Prediction. IEEE Transactions on Intelligent Transportation Systems, 2026.
Conference Papers
- CCF A STRAP: Spatio-Temporal Pattern Retrieval for Out-of-Distribution Generalization. NeurIPS, 2025.
- CCF B Rethinking Graph Domain Adaptation: A Spectral Contrastive Perspective. ECML-PKDD, 2025. Oral
- CCF A One World, Dual Timeline: Decoupled Spatio-Temporal Gaussian Scene Graph for 4D Cooperative Driving Reconstruction. NeurIPS, 2026.
- CCF A TC-RAG: Turing-Complete RAG's case study on medical llm systems. ACL, 2025. Oral
- CCF A Time series supplier allocation via deep black-litterman model. AAAI, 2025. Oral
- CCF A Task-Aware Retrieval Augmentation for Dynamic Recommendation. AAAI, 2026.
â Co-first authorship. Â Â * Corresponding Author.
ð Honors and Awards
- 2026.05: Â ð ICML 2026 Gold Reviewer.
ð Educations
- 2025.09 - present, Ph.D., Computer Science, City University of Hong Kong, Hong Kong, China.
- 2021.09 - 2025.06, B.Econ, Financial Mathematics, Zhongnan University of Economics and Law, Wuhan, China.
ðž Internships
2026.07 - present, Algorithm Engineer Intern, Tencent, Shenzhen, China.