Hi, I’m Haozhe Tian, a PhD student at the Dyson School of Design Engineering, Imperial College London, UK. My research focuses on Reinforcement Learning (RL), with applications in:

• Safety-critical systems, such as the management of non-communicable diseases including diabetes and cardiovascular conditions,
• NP-hard combinatorial optimization, such as identifying structurally significant nodes in large-scale complex networks with millions of nodes.

Before starting my doctorate, I completed an MSc (Distinction) in Communications and Signal Processing at Imperial and a BEng in Pattern Recognition and Control at Beihang University, China. I also spent time as a research assistant at the ASTAPLE Lab at Hong Kong Polytechnic University.

Publications

The blocks: Conference Journal Preprints are links to the full text. For the most up-to-date list of publications, see Google Scholar.

• AAAI 2026 Oral poster Learning Network Dismantling without Handcrafted Inputs
  Haozhe Tian, Pietro Ferraro, Robert Shorten, Mahdi Jalili, and Homayoun Hamedmoghadam
• arXiv Machine Intelligence on the Edge: Interpretable Cardiac Pattern Localisation Using Reinforcement Learning
  Haozhe Tian, Qiyu Rao, Nina Moutonnet, Pietro Ferraro, and Danilo Mandic
• NeurIPS 2024 poster Reinforcement Learning with Adaptive Regularization for Safe Control of Critical Systems
  Haozhe Tian, Homayoun Hamedmoghadam, Robert Shorten, and Pietro Ferraro
• IEEE BigData 2023 CGP: Centroid-guided Graph Poisoning for Link Inference Attacks in Graph Neural Networks
  Haozhe Tian, Haibo Hu, and Qingqing Ye
• EMBC 2023 Hearables: Heart Rate Variability from Ear Electrocardiogram and Ear Photoplethysmogram (Ear-ECG and Ear-PPG)
  Haozhe Tian, Edoardo Occhipinti, Amir Nassibi, and Danilo Mandic
• arXiv Mission-Aligned Learning-Informed Control of Autonomous Systems: Formulation and Foundations
  Vyacheslav Kungurtsev, Gustav Sir, Akhil Anand, Sebastien Gros, Haozhe Tian, and Homayoun Hamedmoghadam
• IEEE TIM Instrumentation of surface plasmon microscopy: complete scheme of signal extractions
  Bei Zhang, Haozhe Tian, Tianyu Xiao, and Jing Zhang

Photos

Talks

• [2025 Nov] I delivered a short Reinforcement Learning tutorial to Marie Skłodowska-Curie fellows participating in the EU iCircular project.