Liangli Zhen

Welcome to my homepage! I am a group leader and senior scientist at the Institute of High Performance Computing, Agency for Science, Technology and Research (A*STAR), Singapore, and a Senior Member of the IEEE. I lead the AI Safety Research Group focused on enhancing AI safety and robustness for real-world deployment and application. Prior to joining A*STAR, I received my PhD in Computer Science from Sichuan University, China, supervised by Professor Dezhong Peng. I was a joint PhD student at The University of Birmingham in the UK, supervised by Professor Xin Yao.

My research is mainly on machine learning and optimisation. Related research topics include adversarial attacks, domain generalisation, jailbreak attacks, hallucination mitigation, multimodal learning, multi-objective optimisation, and more.

News

• [Jan 2026] We currently have openings for AI Safety research scientists.
• [Jan 2026] I will be serving as an Associate Editor for IEEE Transactions on Neural Networks and Learning Systems.
• [Dec 2025] We have openings for visiting PhD students (including CSC Scholarship) and ARAP scholarship applicants.
• [Sept 2025] Our paper on Single-Domain Generalisation via Path Flatness-Aware Optimisation of Loss Landscapes has been accepted for publication by IEEE Transactions on Neural Networks and Learning Systems.
• [Aug 2025] Our paper on GAPNet: A Lightweight Framework for Image and Video Salient Object Detection via Granularity-Aware Paradigm has been accepted for publication by Machine Intelligence Research.
• [Jun 2025] Our paper on Low-Resolution Self-Attention for Semantic Segmentation has been accepted for publication by IEEE Transactions on Pattern Analysis and Machine Intelligence.
• [May 2025] 🏆 Our team ranked the 3rd Place in the Global Challenge for Safe and Secure LLMs (Track 2: Defence).
• [May 2025] Our project on Development of Stable, Robust and Secure Intelligent Systems for Autonomous Vehicles (Stage 1b) has been awarded the AI Singapore Robust AI Grand Challenge grant funding.
• [Apr 2025] Our project on Advanced Optical Metrology for Asian Skin Health and Diseases (OPTIMAS) has been awarded the RIE2025 Industry Alignment Fund Pre-positioning (IAF-PP) grant funding.
• [Apr 2025] Our paper on A Survey and Evaluation of Adversarial Attacks in Object Detection has been accepted for publication by IEEE Transactions on Neural Networks and Learning Systems.
• [Dec 2024] Our paper on Deep Evidential Hashing for Trustworthy Cross-Modal Retrieval has been accepted for publication by the AAAI Conference on Artificial Intelligence 2025.
• [Aug 2024] Our project on Cyber Sentinel: A Unified Framework for Safeguarding Foundation Models has been awarded the CyberSG Research and Development Programme Office (CRPO) Grand Challenge grant funding.
• [Aug 2024] Our paper on Continuous Disentangled Joint Space Learning for Domain Generalisation has been accepted for publication by IEEE Transactions on Neural Networks and Learning Systems.
• [May 2024] 🏆 Our team won the 1st Place in the IJCAI Vision-based Remote Physiological Signal Sensing Challenge.
• [Mar 2024] Our paper on Generative Image Reconstruction from Gradients has been accepted for publication by IEEE Transactions on Neural Networks and Learning Systems.
• [Jan 2024] Our paper on Geometric Correspondence-Based Multimodal Learning for Ophthalmic Image Analysis has been accepted for publication by IEEE Transactions on Medical Imaging.
• [Jan 2024] Our paper on MedNAS: Multiscale Training-Free Neural Architecture Search for Medical Image Analysis has been accepted for publication by IEEE Transactions on Evolutionary Computation.
• [Nov 2023] Our paper on Deep Supervised Multi-View Learning with Graph Priors has been accepted for publication by IEEE Transactions on Image Processing.
• [Jul 2023] Our project on Development of Stable, Robust and Secure Intelligent Systems for Autonomous Vehicles (Stage 1a) has been awarded the AI Singapore Robust AI Grand Challenge grant funding.