haozhe dot tian21 at imperial dot ac dot uk
PhD student at Dyson School of Design Engineering, Imperial College London, UK
- [2024 Oct] One paper "Reinforcement Learning with Adaptive Regularization for Safe Control of Critical Systems" accepted by NeurIPS 2024.
- [2024 Aug] I received Imperial I-X Moonshot Seed Funding to work on "Safe Reinforcement Learning for Critical Applications".
- [2023 Oct] I began my PhD as part of the EU CoDiet project.
- [2022 Oct] I was awarded the Ivor Tupper Prize for Excellence in Signal Processing, Broadcast and Video Technology for my Master thesis.
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.
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arXiv
Machine Intelligence on the Edge: Interpretable Cardiac Pattern Localisation Using Reinforcement Learning
Haozhe Tian, Qiyu Rao, Nina Moutonnet, Pietro Ferraro, and Danilo Mandic -
arXiv
Learning Network Dismantling without Handcrafted Inputs
Haozhe Tian, Pietro Ferraro, Robert Shorten, Mahdi Jalili, and Homayoun Hamedmoghadam -
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