Shiyan Liu

Shiyan Liu

Dare Dream Do. COYS🤍

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Last update: 2026-04-24

Hi! I’m Shiyan Liu, a senior at Huazhong University and Science and Technology (HUST) majoring in Data Science & Big Data Technology. I’m also a prospective MSc Computing(AI&ML) student at Imperial starting 2026 Fall. Now I’m studying at UC Berkeley as a visiting student during 2026 Spring.

My research interests include machine learning, deep learning, reinforcement learning, and data science. My prior reseach experiences focused on deep reinforcement learning and agentic AI systems. I look forward to collaborating with fellow researchers and contributing to the frontiers of AI.

Recently I’m actively seeking Research Assistant/Machine Learning Engineer Intern opportunities!

📖 Educations

  • 2026.09 - 2027.09 (prospective), MSc Computing(AI&ML), Imperial College London.
  • 2026.01 - 2026.05 (expected), Visiting Student, UC Berkeley.
  • 2022.09 - 2026.06 (expected), BEng Data Science & Big Data Technology, HUST.

📝 Publications & Preprints

  • [2026.04] Liu, S., Li, Y. Test-Time Training for Zero-Resource Dense Retrieval Reranking. 🎉 Accepted at KnowFM @ ACL 2026. [paper]
  • [2026.04] Liu, S., Xia, Q., Xia, Q., Liu, Y., Yu, X. & Qu, R. Reflection in the Dark: Exposing and Escaping the Black Box in Reflective Prompt Optimization. 🎉 Accepted at ACL 2026 (SRW). [paper]
  • [2026] Liu, S., Tan, B., Zhang, L., & Jin, Y. Omni-TSP: Multi-view Geometric Grounding via Alternating Attention for Traveling Salesman Problem. Under Review. [paper]
  • [2025.11] Liu, S., Ma, J., & Qu, R. DICE: Discrete Interpretable Comparative Evaluation with Probabilistic Scoring for Retrieval-Augmented Generation. 🎉 Accepted at ResponsibleFM @ NeurIPS 2025. [paper] [code]
  • [2025] Liu, S., Tan, B., Cao, Z., & Jin, Y. VAGPO: Vision-augmented Asymmetric Group Preference Optimization for Graph Routing Problems. Under Review. [paper]
  • [2025] Liu, S., Qu, R., & Jin, Y. FluentLip: A Phonemes-Based Two-stage Approach for Audio-Driven Lip Synthesis with Optical Flow Consistency. arXiv preprint arXiv:2504.04427. [paper]

💻 Internships

  • 2024.06 - now, Research Assistant @ Reinforcement Learning & Intelligent Computing Group (HUST, fortunately advised by Prof. Yan Jin), Wuhan, China.
  • 2025.03 - 2025.08, Software Development Engineer @ JD.com, Beijing, China.

🎖 Honors and Awards

  • 2026.04 Outstanding Graduate (HUST).
  • 2025.09 National Scholarship.
  • 2025.09 Outstanding Student Scholarship (HUST).
  • 2025.05 Tencent Scholarship.
  • 2024.09 Academic Excellence Scholarship (HUST).