CV

Education

• Ph.D. in Data Science, City University of Hong Kong, Expected Start Jan. 2026
• M.Sc. in Data Science, City University of Hong Kong, 2024 - 2025 (Expected)
• B.Sc. in Mathematical Statistics & Chemistry, Xiamen University, 2019 - 2023

Technical Skills

• Programming Languages:
  • Python (including PyTorch, Recbole, Transformers, Scikit-learn, Pandas)
  • R, SQL, C/C++
• Machine Learning Domains:
  • Recommender Systems: Sequential Rec, Multi-Modal Rec, KG-aware Rec, Temporal Point Processes
  • Natural Language Processing: Foundational Models (BERT, GPT), RAG, Fine-tuning (LoRA)
  • Graph Learning: GNNs (GCN, GAT, GraphSAGE), Deep Graph Library (DGL)
• Core ML Techniques:
  • Contrastive Learning, Multi-modal Fusion, GNNs
• Languages:
  • English (IELTS 6.5)

Publications

SPARK: Adaptive Low-Rank Knowledge Graph Modeling in Hybrid Geometric Spaces for Recommendation

Binhao Wang, Yutian Xiao, Maolin Wang, et al. (2025). "SPARK: Adaptive Low-Rank Knowledge Graph Modeling in Hybrid Geometric Spaces for Recommendation." CIKM '25.

FindRec: Stein-Guided Entropic Flow for Multi-Modal Sequential Recommendation

Maolin Wang*, Yutian Xiao*, Binhao Wang*, Sheng Zhang, et al. (2025). "FindRec: Stein-Guided Entropic Flow for Multi-Modal Sequential Recommendation." KDD '25.

Professional Service

• Conference Reviewer
  • ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ‘26), Datasets and Benchmarks Track
  • ACM International Conference on Information and Knowledge Management (CIKM ‘25), Short Papers Track