Yunbo Long
Scholar

Yunbo Long

Google Scholar ID: OL_fj-YAAAAJ
PhD Student, University of Cambridge
Deep LearningGenerative ModelsSynthetic Data
Citations & Impact
All-time
Citations
20
 
H-index
2
 
i10-index
1
 
Publications
11
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Several papers under review or published, including 'EvoEmo: Towards Evolved Emotional Policies for LLM Agents in Multi-Turn Negotiation', 'EQ-Negotiator: Emotion Policing Personas for Anti-Manipulation in Credit Collection Dialogues', 'ExpoTab: One-Step Mixed-Type Tabular Data Generation using Manifold Learning'. Additionally, published 'Efficient and privacy-preserved link prediction via condensed graphs' in Expert Systems with Applications and 'Haplo-caller: A deep learning method for haplotype identification from mixed clonal samples' in VeriXiv.
Research Experience
  • Currently a PhD student at the University of Cambridge working on data understanding and generation. Previous research experience includes developing a DP-based personalized clustering federated learning method while pursuing his MPhil at the University of Cambridge.
Education
  • PhD candidate at the University of Cambridge, Department of Engineering, focusing on data understanding and generation; MPhil in Engineering from the University of Cambridge, where his research focused on a DP-based personalized clustering federated learning method; First-Class Honours degree in Engineering from the University of Birmingham, with an undergraduate thesis exploring the application of deep reinforcement learning algorithms for autonomous robotic dismantling tasks.
Background
  • Research interests include unifying data understanding and data generation through latent-space modeling with Diffusion-based Generative Models; focusing on building principled frameworks that bridge representation learning and controllable generation across heterogeneous data regimes such as natural language, mixed-type tabular, structured relational/graph data, and emerging multimodal combinations.
Miscellany
  • Recipient of Conference Scholarship from the Department of Engineering, Cambridge University, and Queens College PhD Scholarship, Cambridge University. Served as a reviewer for multiple IEEE journals and conferences.
Co-authors
0 total
Co-authors: 0 (list not available)