About Me
Yunbo is a PhD candidate at the University of Cambridge focusing on unifying data understanding and generation through latent-space modeling with Diffusion-based Generative Models. His research develops principled frameworks that bridge representation learning and controllable generation across heterogeneous data regimes, including discrete (natural language), mixed-type tabular, structured relational/graph data, and emerging multimodal combinations. A central theme involves designing architectures and training objectives that faithfully capture semantics, uncertainty, structure, and cross-domain correspondences while maintaining computational and statistical efficiency.
Previously, Yunbo completed an MPhil in Engineering at the University of Cambridge, where his research focused on differentially private personalized clustering methods for federated learning. He earned a First-Class Honours degree in Engineering from the University of Birmingham, with his undergraduate thesis exploring deep reinforcement learning applications for autonomous robotic dismantling tasks.
📢News
- November 2025: Topological Federated Clustering via Gravitational Potential Fields under Local Differential Privacy accepted at AAAI Main Track 2026 🎉🎉🎉
- November 2025: EQ-Negotiator: Dynamic Emotional Personas Empower Small Language Models for Edge-Deployable Credit Negotiation accepted at Neurips@PersonaLLM 2025 🎉🎉🎉
- October 2025: EvoEmo: Towards Evolved Emotional Policies for LLM Agents in Multi-Turn Negotiation submitted for review 🚀
- October 2025: EmoDebt: Bayesian-Optimized Emotional Intelligence for Strategic Agent-to-Agent Debt Recovery submitted for review 🚀
- September 2025: ExpoTab: One-Step Mixed-Type Tabular Data Generation using Manifold Learning submitted for review 🚀
- July 2025: LLM-TabLogic: Preserving Inter-Column Logical Relationships in Synthetic Tabular Data via Prompt-Guided Latent Diffusion submitted for review 📄
- June 2025: Efficient and privacy-preserved link prediction via condensed graphs published in Expert Systems with Applications 🎉
- May 2025: Random Walk Guided Hyperbolic Graph Distillation (Y Long, L Xu, S Schoepf, A Brintrup) posted on arXiv 📄
- May 2025: Haplo-caller: A deep learning method for haplotype identification from mixed clonal samples published in VeriXiv 🎉
- April 2025: PA-CFL: Privacy-Adaptive Clustered Federated Learning for Transformer-Based Sales Forecasting on Heterogeneous Retail Data under review 📄
- March 2025: Evaluating inter-column logical relationships in synthetic tabular data generation accepted as ICLR 2025 Tiny Paper 🎉
- January 2025: Leveraging synthetic data to tackle machine learning challenges in supply chains accepted in IJPR 🎉
- October 2024: Leveraging unsupervised learning for cost-effective visual anomaly detection accepted 🎉
💰 Funding & Awards
- Conference Scholarship, Department of Engineering, University of Cambridge
- Queens’ College PhD Scholarship, University of Cambridge
👨💻 Academic Service
Journal Reviewer (2025)
- 🏷️ IEEE Transactions on Neural Networks and Learning Systems (TNNLS) ×3
- 🏷️ IEEE Transactions on Knowledge and Data Engineering (TKDE) ×4
- 🏷️ IEEE Transactions on Information Forensics & Security (TIFS) ×2
- 🏷️ IEEE Transactions on Dependable and Secure Computing (TDSC) ×2
- 🏷️ IEEE Transactions on Mobile Computing (TMC) ×2
- 🏷️ IEEE Transactions on Systems, Man and Cybernetics (TSMC) ×1
- 🏷️ IEEE Transactions on Fuzzy Systems (TFS) ×1
- 🏷️ ACM Transactions on Knowledge Discovery from Data (TKDD) ×1
Conference Reviewer (2025)
- 🎯 NeurIPS
- 🎯 AAAI
- 🎯 ICLR