Liangli Zhen

Senior Scientist at A*STAR

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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. I am also a Senior Member of the IEEE. I lead the AI safety Research Group focused on enhancing the AI safety and robustness for real-world deployment and application. Prior to joining IHPC, I received my PhD in Computer Science from Sichuan University, China, in 2018, supervised by Professor Dezhong Peng. From 2016 to 2018, I was a joint PhD student at The University of Birmingham in the UK, supervised by Professor Xin Yao (IEEE Frank Rosenblatt Award Recipient).

My research is mainly on machine learning and optimisation. Related research topics include AI safety, multimodal learning, domain generalisation, foundation models, evolutionary multi-objective optimisation, and more.

News

  • [Apr 2025] Our paper on A Survey and Evaluation of Adversarial Attacks in Object Detection has been accepted for publication by the IEEE Transactions on Neural Networks and Learning Systems.
  • [Feb 2025] Call for candidates: The University of Manchester-A*STAR PhD Programme. Application deadline: 21 March.
  • [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 team ranked the 3rd place out of 100+ participating teams in the Global Challenge for Safe and Secure LLMs Track 1A, organised by AI Singapore and the CyberSG Research and Development Programme Office (CRPO).
  • [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 Funding.
  • [Aug 2024] Our paper on Continuous Disentangled Joint Space Learning for Domain Generalization has been accepted for publication by the IEEE Transactions on Neural Networks and Learning Systems.
  • [May 2024] Our team won the 1st Prize in the IJCAI Vision-based Remote Physiological Signal Sensing Challenge.
  • [Mar 2024] Our paper on Generative Image Reconstruction from Gradients has been accepted by the 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 the IEEE Transactions on Medical Imaging.
  • [Jan 2024] Our paper on MedNAS: Multi-scale Training-free Neural Architecture Search for Medical Image Analysis has been accepted for publication by the IEEE Transactions on Evolutionary Computation.
  • [Nov 2023] Our paper on Deep Supervised Multi-View Learning with Graph Priors has been accepted for publication by the IEEE Transactions on Image Processing.
  • [Jul 2023] Our project on Development of Stable, Robust and Secure Intelligent Systems for Autonomous Vehicles has been awarded the AI Singapore Robust AI Grand Challenge Funding.