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Publication date Communities Collections Article title Author(s) Journal/Conference
1 Mar 2026 SERC Institute of High Performance Computing  Single-Domain Generalization via Path Flatness-Aware Optimization of Loss Landscapes Zizhou Wang, Yan Wang, Yangqin Feng, Jiawei Du, Joey Tianyi Zhou, Rick Siow Mong Goh, Yong Liu, Liangli Zhen IEEE Transactions on Neural Networks and Learning Systems
22 Oct 2025 SERC Institute of High Performance Computing  History-Aware and Dynamic Client Contribution in Federated Learning (Pending publish) Bishwamittra Ghosh, Debabrota Basu, Huazhu Fu, Yuan Wang, Renuga Kanagavelu, Jin Peng Jiang, Yong Liu, Rick Siow Mong Goh, Qingsong Wei The 28th European Conference on Artificial Intelligence(ECAI 2025)
7 Aug 2025 SERC Institute of High Performance Computing  Improving Learning of New Diseases Through Knowledge-Enhanced Initialization for Federated Adapter Tuning (Pending publish) Danni Peng, Yuan Wang, Kangning Cai, Peiyan Ning, Jiming Xu, Yong Liu, Rick Siow Mong Goh, Qingsong Wei, Huazhu Fu IEEE Transactions on Medical Imaging
30 May 2025 SERC Institute of High Performance Computing  Is quantum optimization ready? An effort towards neural network compression using adiabatic quantum computing Zhehui Wang, Benjamin Chen Ming Choong, Tian Huang, Daniel Gerlinghoff, Rick Siow Mong Goh, Cheng Liu, Tao Luo Future Generation Computer Systems
20 May 2025 SERC Institute of High Performance Computing  Vision transformer-based stratification of pre/diabetic and pre/hypertensive patients from retinal photographs for 3PM applications Krithi Pushpanathan, Yang Bai, Xiaofeng Lei, Jocelyn Hui Lin Goh, Can Can Xue, Samantha Min Er Yew, Miaoli Chee, Ten Cheer Quek, Qingsheng Peng, Zhi Da Soh, Marco Chak Yan Yu, Jun Zhou, Yaxing Wang, Jost B. Jonas, Xiaofei Wang, Xueling Sim, E. Shyong Tai, Charumathi Sabanayagam, Rick Siow Mong Goh, Yong Liu, Ching-Yu Cheng, Yih-Chung Tham EPMA Journal
24 Oct 2023 SERC Institute of High Performance Computing  Uncertainty-inspired open set learning for retinal anomaly identification Meng Wang, Tian Lin, Lianyu Wang, Aidi Lin, Ke Zou, Xinxing Xu, Yi Zhou, Yuanyuan Peng, Qingquan Meng, Yiming Qian, Guoyao Deng, Zhiqun Wu, Junhong Chen, Jianhong Lin, Mingzhi Zhang, Weifang Zhu, Changqing Zhang, Daoqiang Zhang, Rick Siow Mong Goh, Yong Liu, Chi Pui Pang, Xinjian Chen, Haoyu Chen, Huazhu Fu Nature Communications
30 Sep 2023 SERC Institute of High Performance Computing  Minimal-Supervised Medical Image Segmentation via Vector Quantization Memory Yanyu Xu, Menghan Zhou, Yangqin Feng, Xinxing Xu, Huazhu Fu, Rick Siow Mong Goh, Yong Liu Lecture Notes in Computer Science
30 Sep 2023 SERC Institute of High Performance Computing  Category-Independent Visual Explanation for Medical Deep Network Understanding Yiming Qian, Liangzhi Li, Huazhu Fu, Meng Wang, Qingsheng Peng, Yih Chung Tham, Chingyu Cheng, Yong Liu, Rick Siow Mong Goh, Xinxing Xu Lecture Notes in Computer Science
17 Jul 2023 SERC Institute of High Performance Computing  Federated benchmarking of medical artificial intelligence with MedPerf Alexandros Karargyris, Renato Umeton, Micah J. Sheller, Alejandro Aristizabal, Johnu George, Anna Wuest, Sarthak Pati, Hasan Kassem, Maximilian Zenk, Ujjwal Baid, Prakash Narayana Moorthy, Alexander Chowdhury, Junyi Guo, Sahil Nalawade, Jacob Rosenthal, David Kanter, Maria Xenochristou, Daniel J. Beutel, Verena Chung, Timothy Bergquist, James Eddy, Abubakar Abid, Lewis Tunstall, Omar Sanseviero, Dimitrios Dimitriadis, Yiming Qian, Xinxing Xu, Yong Liu, Rick Siow Mong Goh, Srini Bala, Victor Bittorf, Sreekar Reddy Puchala, Biagio Ricciuti, Soujanya Samineni, Eshna Sengupta, Akshay Chaudhari, Cody Coleman, Bala Desinghu, Gregory Diamos, Debo Dutta, Diane Feddema, Grigori Fursin, Xinyuan Huang, Satyananda Kashyap, Nicholas Lane, Indranil Mallick, Pietro Mascagni, Virendra Mehta, Cassiano Ferro Moraes, Vivek Natarajan, Nikola Nikolov, Nicolas Padoy, Gennady Pekhimenko, Vijay Janapa Reddi, G. Anthony Reina, Pablo Ribalta, Abhishek Singh, Jayaraman J. Thiagarajan, Jacob Albrecht, Thomas Wolf, Geralyn Miller, Huazhu Fu, Prashant Shah, Daguang Xu, Poonam Yadav, David Talby, Mark M. Awad, Jeremy P. Howard, Michael Rosenthal, Luigi Marchionni, Massimo Loda, Jason M. Johnson, Spyridon Bakas, Peter Mattson Nature Machine Intelligence
22 Jun 2023 SERC Institute of High Performance Computing  Achieving Green AI with Energy-Efficient Deep Learning Using Neuromorphic Computing Tao Luo, Weng-Fai Wong, Rick Siow Mong Goh, Anh Tuan Do, Zhixian Chen, Haizhou Li, Wenyu Jiang, Neuromorphic Programme Communications of the ACM