Bo Liu

Bo Liu

Jilin University, School of Mathematics

I graduated from Jilin University, School of Mathematics with a B.S. in Statistics. I will be pursuing an MPhil at The Chinese University of Hong Kong, Shenzhen (CUHK-SZ) this fall, advised by Prof. David Zhang, IEEE Life Fellow.

My research interests include:

  • Machine Learning / Deep Learning
  • Reinforcement Learning
  • Recommendation Systems
  • AI for Science (AI4Sci)
  • Multi-Armed Bandits
  • Data Augmentation

🎓 Education

🔬 Research Experience

  • Dec 2025 - Present, Research Assistant, AdBRC, CUHK-SZ
  • Jun 2025 - Dec 2025, Research Assistant, AIMS Lab, HKUST(GZ)
  • Dec 2023 - May 2025, Research Assistant, TML Group, Jilin University

Academic Service: Reviewer for KDD 2026

📝 Publications

  • “PreMAB: A Multi-Module Short Video Recommendation System with Foundation Models and MAB to save cold-start”
    Accepted by ICASSP 2026
    [Paper]

  • “DiBS: Diffusion-Informed Branch Selection”
    arXiv preprint, 2026
    [Paper]

  • “Task Offloading and Resource Allocation in Hybrid-Powered WPT MEC System: An Enhanced Deep Reinforcement Learning Method”
    Computer Networks
    [Paper]

  • “Optimal Survey Line Design Based on Genetic Algorithm and Spatial Resolution”
    Artificial Intelligence for Future Society, Springer Nature
    [Paper]

💻 Projects

AI4Sci: AI-Driven Infrared Spectrum Analysis (Jul 2025 - Present)
Research Assistant | Advisor: Prof. Jun Xia, HKUST(GZ)

  • Proposed a molecular structure elucidation method that takes IR spectra as input and generates various possible molecular structures as output
  • Introduced a reward-guided tree search framework to harness test-time computation for boosting sequence quality and diversity
  • Designed an infrared spectroscopy pre-trained large model with downstream tasks: functional group detection, molecular property prediction, compound analysis, and fingerprint prediction

Foundation Models-Driven Recommendation System with MAB (Jul 2024 - Aug 2025)
Research Assistant | Advisor: Prof. Osman Yagan, School of CS, Carnegie Mellon University

  • Proposed a novel recommendation system combining pre-trained Foundation Models with contextual MAB techniques
  • Leveraged classic models like UCB to balance exploration and exploitation in cold-start settings on the MicroLens-100k dataset
  • Used pre-trained VideoMAE to extract video features as MAB context, combined with IDRec outputs via a warm-up framework

Data Augmentation for Label-Proportional Learning (May 2024 - Jun 2025)
Research Assistant | Advisor: Prof. Ximing Li, College of CS, Jilin University

  • Proposed an efficient Bag Mixup augmentation method for bag-level supervision learning
  • Evaluated across multiple datasets (CIFAR10, EMNIST, SVHN) with various bag scales, outperforming SOTA baselines (LLPFC, LLP-VAT)

Deep RL for Hybrid Power Allocation in WPT-MEC Systems (Dec 2024)
Research Assistant | Advisor: Dr. Ziqi Liu, College of CS, Jilin University

  • Combined Mobile Edge Computing (MEC) and Wireless Power Transfer (WPT) to enhance sustainability and efficiency of mobile networks
  • Formulated a long-term average grid energy minimization problem and introduced a green-prioritized hybrid energy supply system

Optimal Planning of Multibeam Surveys Using Genetic Algorithm (Feb 2024 - May 2024)

  • Reconstructed grid-based seabed depth data into a planar-segmented seabed model
  • Derived optimal survey routes using genetic algorithm operations with integrated optimization objectives

🏛️ Leadership and Service

  • Aug 2022 - Aug 2024, New Media Center, School of Mathematics | Vice President
    Managed official media platform operations and content review; developed quarterly work plans and drove a 30% increase in platform followers

🏅 Honors and Awards

  • 2025-2026 — University Excellent Student Leader
  • 2025-2026 — Academic Scholarship
  • 2024-2025 — Third-Class University Scholarship
  • 2023-2024 — University Excellent Student Leader (Top 5/247)
  • 2022-2023 — College Excellent Student Leader (Top 10/247)
  • 2023 — Excellent Student Volunteer of the Year
  • China Undergraduate Mathematical Contest in Modeling — Second Prize, Jilin Province

🛠 Skills

  • Languages: TOEFL: 98, GRE: 320
  • Programming: C, Matlab, R, Python (PyTorch)