Principal Scientist Institute of High Performance Computing (IHPC)
Agency for Science, Technology and Research (A*STAR), Singapore.
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I am a principal scientist at IHPC, A*STAR.
I received my Ph.D. from Tianjin University in 2013.
Previously, I were a Research Fellow (2013-2015) at Nanyang Technological University (NTU), Singapore, a Research Scientist (2015-2018) at Institute for Infocomm Research (I2R), A*STAR, Singapore, and a Senior Scientist (2018-2021) at Inception Institute of Artificial Intelligence (IIAI), UAE.
Major focuses on:
AI for Healthcare:
Medical Image Analysis, Medical Efficient Learning, ⚡Medical Vision-language Model, ⚡Medical Foundation Model.
Visiting PhD Student:A*STAR Research Attachment Programme (ARAP) supports PhD students from overseas universities to spend a minimum of one to a maximum of two years at A*STAR Research Institutes under the joint supervision.
Chinese PhD Student: (Only available for Year 2024)
We are also looking for visiting PhD students from China to spend a minimum of one year at IHPC, under Chinese CSC Scholarship.
[12/2023] Our iChallenge datasets receive the Achievement Award of 2023 TOP 100 Benchmarks & Evaluation by International Open Benchmark Council.
[11/2023] 1 paper accepted by IEEE TMI: "Enhancing and Adapting in the Clinic: Source-free Unsupervised Domain Adaptation for Medical Image Enhancement".
[11/2023] 1 paper accepted by IEEE TNNLS: "Federated Noisy Client Learning".
[11/2023] 1 paper accepted by IEEE TMI: "MG-Trans: Multi-scale Graph Transformer with Information Bottleneck for Whole Slide Image Classification".
[10/2023] Happy to receive the Best Paper Award of Distributed, Collaborative and Federated Learning (DeCAF) Workshop in MICCAI 2023: "Federated Model Aggregation via Self-Supervised Priors for Highly Imbalanced Medical Image Classification".
[10/2023] 1 paper accepted by Nature Communications: "Uncertainty-inspired Open Set Learning for Retinal Anomaly Identification".
[09/2023] 1 paper accepted by NeurIPS 2023: "Fairness-guided Few-shot Prompting for Large Language Models".
[09/2023] 1 paper accepted by IEEE TMI: "Edge-guided Contrastive Adaptation Network for Arteriovenous Nicking Classification Using Synthetic Data".
[08/2023] 1 paper accepted by MedIA: "A Generic Fundus Image Enhancement Network Boosted by Frequency Self-supervised Representation Learning".
[08/2023] 1 GAMMA Challenge summary paper accepted by MedIA: "GAMMA Challenge: Glaucoma grAding from Multi-Modality imAges".
[06/2023] 1 papers accepted by ICCV 2023.
[06/2023] 16 papers accepted by MICCAI 2023.
[04/2023] 3 papers accepted by ICML 2023.
[04/2023] 1 paper accepted by Nature Machine Intelligence: "Federated Benchmarking of Medical Artificial Intelligence with MedPerf".
[03/2023] 1 survey paper accepted by MedIA: "Transformers in Medical Imaging: A Survey".
"Deep Partial Multi-View Learning",
C. Zhang, Y. Cui, Z. Han, J. T. Zhou, H. Fu, and Q. Hu, IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2022.[Code]
(ESI Highly Cited Paper)