Rick Siow Mong Goh

250 papers A* 14A 11B 18C 7Misc 2Journal 144Unranked 54

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	$AiRacleX$: Automated Detection of Price Oracle Manipulations via LLM-Driven Knowledge Mining and Prompt Generation. IEEE Trans. Serv. Comput. Bo Gao, Yuan Wang, Qingsong Wei, Yong Liu, Rick Siow Mong Goh, David Lo
2026	J	`jnl`	Addressing Client Drift in Federated Learning via Class-Prototype Similarity Distillation and Adaptive Mask. IEEE Trans. Cybern. Yunlu Yan, Chun-Mei Feng, Mang Ye, Wangmeng Zuo, Ping Li, Rick Siow Mong Goh, Lei Zhu, C. L. Philip Chen
2026	J	`jnl`	Aligning Medical Conversational AI through Online Reinforcement Learning with Information-Theoretic Rewards. CoRR Tanvi Verma, Yang Zhou, Rick Siow Mong Goh, Yong Liu
2026	J	`jnl`	DPxFin: Adaptive Differential Privacy for Anti-Money Laundering Detection via Reputation-Weighted Federated Learning. CoRR Renuga Kanagavelu, Manjil Nepal, Peiyan Ning, Kangning Cai, Jiming Xu, Fei Gao, Yong Liu, Rick Siow Mong Goh, Qingsong Wei
2026	J	`jnl`	Improving Learning of New Diseases Through Knowledge-Enhanced Initialization for Federated Adapter Tuning. IEEE Trans. Medical Imaging Danni Peng, Yuan Wang, Kangning Cai, Peiyan Ning, Jiming Xu, Yong Liu, Rick Siow Mong Goh, Qingsong Wei, Huazhu Fu
2026	J	`jnl`	Is quantum optimization ready? An effort towards neural network compression using adiabatic quantum computing. Future Gener. Comput. Syst. Zhehui Wang, Benjamin Chen Ming Choong, Tian Huang, Daniel Gerlinghoff, Rick Siow Mong Goh, Cheng Liu, Tao Luo
2026	J	`jnl`	N-BEATS-GAN: A risk-aware financial time series forecasting with generative adversarial networks. Appl. Soft Comput. Manna Dai, Mao Yu Seow, Ricardo Shirota Filho, Alex Sclip, Kavilash Chawla, Rick Siow Mong Goh, Joyjit Chattoraj
2026	J	`jnl`	Single-Domain Generalization via Path Flatness-Aware Optimization of Loss Landscapes. IEEE Trans. Neural Networks Learn. Syst. Zizhou Wang, Yan Wang, Yangqin Feng, Jiawei Du, Joey Tianyi Zhou, Rick Siow Mong Goh, Yong Liu, Liangli Zhen
2026	J	`jnl`	Structured Semantic Cloaking for Jailbreak Attacks on Large Language Models. CoRR Xiaobing Sun, Perry Lam, Shaohua Li, Zizhou Wang, Rick Siow Mong Goh, Yong Liu, Liangli Zhen
2025	A	`conf`	Ad WACV Lei Zhu, Yanyu Xu, Yong Liu, Rick Siow Mong Goh, Xinxing Xu
2025	J	`jnl`	AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation. CoRR Lei Zhu, Jun Zhou, Rick Siow Mong Goh, Yong Liu
2025	—	`conf`	AdvMIM: Adversarial Masked Image Modeling for Semi-supervised Medical Image Segmentation. MICCAI (16) Lei Zhu, Jun Zhou, Rick Siow Mong Goh, Yong Liu
2025	J	`jnl`	AiRacleX: Automated Detection of Price Oracle Manipulations via LLM-Driven Knowledge Mining and Prompt Generation. CoRR Bo Gao, Yuan Wang, Qingsong Wei, Yong Liu, Rick Siow Mong Goh, David Lo
2025	J	`jnl`	An integrated language-vision foundation model for conversational diagnostics and triaging in primary eye care. CoRR Zhi Da Soh, Yang Bai, Kai Yu, Yang Zhou, Xiaofeng Lei, Sahil Thakur, Zann Lee, Lee Ching Linette Phang, Qingsheng Peng, Cancan Xue, Rachel Chong, Quan V. Hoang, Lavanya Raghavan, Yih Chung Tham, Charumathi Sabanayagam, Wei-Chi Wu, Ming-Chih Ho, Jiangnan He, Preeti Gupta, Ecosse Lamoureux, Seang Mei Saw, Vinay Nangia, Songhomitra Panda-Jonas, Jie Xu, Ya Xing Wang, Xinxing Xu, Jost B. Jonas, Tien Yin Wong, Rick Siow Mong Goh, Yong Liu, Ching-Yu Cheng
2025	J	`jnl`	Are Traditional Deep Learning Model Approaches as Effective as a Retinal-Specific Foundation Model for Ocular and Systemic Disease Detection? CoRR Samantha Min Er Yew, Xiaofeng Lei, Jocelyn Hui Lin Goh, Yibing Chen, Sahana Srinivasan, Miao-li Chee, Krithi Pushpanathan, Ke Zou, Qingshan Hou, Zhi Da Soh, Cancan Xue, Marco Chak Yan Yu, Charumathi Sabanayagam, E. Shyong Tai, Xueling Sim, Yaxing Wang, Jost B. Jonas, Vinay Nangia, Gabriel Dawei Yang, Emma Anran Ran, Carol Yim-lui Cheung, Yangqin Feng, Jun Zhou, Rick Siow Mong Goh, Yukun Zhou, Pearse A. Keane, Yong Liu, Ching-Yu Cheng, Yih-Chung Tham
2025	J	`jnl`	Atomic Smart Contract Interoperability With High Efficiency via Cross-Chain Integrated Execution. IEEE Trans. Parallel Distributed Syst. Chaoyue Yin, Mingzhe Li, Jin Zhang, You Lin, Qingsong Wei, Rick Siow Mong Goh
2025	J	`jnl`	Atomic Smart Contract Interoperability with High Efficiency via Cross-Chain Integrated Execution. CoRR Chaoyue Yin, Mingzhe Li, Jin Zhang, You Lin, Qingsong Wei, Rick Siow Mong Goh
2025	—	`conf`	BForTFin: A Financial Domain-Aware Multiscale Evaluation Method for Time-Series Foundation Models. ICAIF Nigel Cheong, Ling Wei Hsuen, Ranjan Satapathy, Erik Cambria, Rick Siow Mong Goh, Joyjit Chattoraj
2025	J	`jnl`	Continuous Disentangled Joint Space Learning for Domain Generalization. IEEE Trans. Neural Networks Learn. Syst. Zizhou Wang, Yan Wang, Yangqin Feng, Jiawei Du, Yong Liu, Rick Siow Mong Goh, Liangli Zhen
2025	J	`jnl`	Diffusion-Enhanced Test-Time Adaptation with Text and Image Augmentation. Int. J. Comput. Vis. Chun-Mei Feng, Yuanyang He, Jian Zou, Salman H. Khan, Huan Xiong, Zhen Li, Wangmeng Zuo, Rick Siow Mong Goh, Yong Liu
2025	J	`jnl`	EVLF-FM: Explainable Vision Language Foundation Model for Medicine. CoRR Yang Bai, Haoran Cheng, Yang Zhou, Jun Zhou, Arun Thirunavukarasu, Yuhe Ke, Jie Yao, Kanae Fukutsu, Chrystie Wan Ning Quek, Ashley Hong, Laura Gutierrez, Zhen Ling Teo, Darren Shu Jeng Ting, Brian T. Soetikno, Christopher S. Nielsen, Tobias Elze, Zengxiang Li, Linh Le Dinh, Hiok Hong Chan, Victor Koh, Marcus Tan, Kelvin Z. Li, Leonard Yip, Ching Yu Cheng, Yih Chung Tham, Gavin Siew Wei Tan, Leopold Schmetterer, Marcus Ang, Rahat Hussain, Jod Mehta, Tin Aung, Lionel Tim-Ee Cheng, Tran Nguyen Tuan Anh, Chee Leong Cheng, Tien Yin Wong, Nan Liu, Iain Bee Huat Tan, Soon Thye Lim, Eyal Klang, Tony Kiat Hon Lim, Rick Siow Mong Goh, Yong Liu, Daniel Shu Wei Ting
2025	J	`jnl`	Enabling Energy-Efficient Deployment of Large Language Models on Memristor Crossbar: A Synergy of Large and Small. IEEE Trans. Pattern Anal. Mach. Intell. Zhehui Wang, Tao Luo, Cheng Liu, Weichen Liu, Rick Siow Mong Goh, Weng-Fai Wong
2025	J	`jnl`	Federated Pseudo Modality Generation for Incomplete Multi-Modal MRI Reconstruction. IEEE J. Biomed. Health Informatics Yunlu Yan, Chun-Mei Feng, Yuexiang Li, Ping Li, Rick Siow Mong Goh, Baiying Lei, Weiming Wang, David Dagan Feng, Lei Zhu
2025	A*	`conf`	Federated Residual Low-Rank Adaptation of Large Language Models. ICLR Yunlu Yan, Chun-Mei Feng, Wangmeng Zuo, Rick Siow Mong Goh, Yong Liu, Lei Zhu
2025	J	`jnl`	Generative Image Reconstruction From Gradients. IEEE Trans. Neural Networks Learn. Syst. Ekanut Sotthiwat, Liangli Zhen, Chi Zhang, Zengxiang Li, Rick Siow Mong Goh
2025	A	`conf`	History-Aware and Dynamic Client Contribution in Federated Learning. ECAI Bishwamittra Ghosh, Debabrota Basu, Huazhu Fu, Yuan Wang, Renuga Kanagavelu, Jinpeng Jiang, Yong Liu, Rick Siow Mong Goh, Qingsong Wei
2025	J	`jnl`	Improving Learning of New Diseases through Knowledge-Enhanced Initialization for Federated Adapter Tuning. CoRR Danni Peng, Yuan Wang, Kangning Cai, Peiyan Ning, Jiming Xu, Yong Liu, Rick Siow Mong Goh, Qingsong Wei, Huazhu Fu
2025	J	`jnl`	Is Quantum Optimization Ready? An Effort Towards Neural Network Compression using Adiabatic Quantum Computing. CoRR Zhehui Wang, Benjamin Chen Ming Choong, Tian Huang, Daniel Gerlinghoff, Rick Siow Mong Goh, Cheng Liu, Tao Luo
2025	A*	`conf`	Look Back for More: Harnessing Historical Sequential Updates for Personalized Federated Adapter Tuning. AAAI Danni Peng, Yuan Wang, Huazhu Fu, Jinpeng Jiang, Yong Liu, Rick Siow Mong Goh, Qingsong Wei
2025	J	`jnl`	Look Back for More: Harnessing Historical Sequential Updates for Personalized Federated Adapter Tuning. CoRR Danni Peng, Yuan Wang, Huazhu Fu, Jinpeng Jiang, Yong Liu, Rick Siow Mong Goh, Qingsong Wei
2025	J	`jnl`	MaskedCLIP: Bridging the Masked and CLIP Space for Semi-Supervised Medical Vision-Language Pre-training. CoRR Lei Zhu, Jun Zhou, Rick Siow Mong Goh, Yong Liu
2025	—	`conf`	MaskedCLIP: Bridging the Masked and CLIP Space for Semi-supervised Medical Vision-Language Pre-training. MedAGI Lei Zhu, Jun Zhou, Rick Siow Mong Goh, Yong Liu
2025	J	`jnl`	Multimodal, Multi-Disease Medical Imaging Foundation Model (MerMED-FM). CoRR Yang Zhou, Chrystie Wan Ning Quek, Jun Zhou, Yan Wang, Yang Bai, Yuhe Ke, Jie Yao, Laura Gutierrez, Zhen Ling Teo, Darren Shu Jeng Ting, Brian T. Soetikno, Christopher S. Nielsen, Tobias Elze, Zengxiang Li, Linh Le Dinh, Lionel Tim-Ee Cheng, Tran Nguyen Tuan Anh, Chee Leong Cheng, Tien Yin Wong, Nan Liu, Iain Bee Huat Tan, Tony Kiat Hon Lim, Rick Siow Mong Goh, Yong Liu, Daniel Shu Wei Ting
2025	A	`conf`	Optimizing Neural Networks with Learnable Non-Linear Activation Functions via Lookup-Based FPGA Acceleration. ICCAD Mengyuan Yin, Benjamin Chen Ming Choong, Chuping Qu, Rick Siow Mong Goh, Weng-Fai Wong, Tao Luo
2025	J	`jnl`	Optimizing Neural Networks with Learnable Non-Linear Activation Functions via Lookup-Based FPGA Acceleration. CoRR Mengyuan Yin, Benjamin Chen Ming Choong, Chuping Qu, Rick Siow Mong Goh, Weng-Fai Wong, Tao Luo
2025	J	`jnl`	Partially Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation. CoRR Lei Zhu, Yanyu Xu, Huazhu Fu, Xinxing Xu, Rick Siow Mong Goh, Yong Liu
2025	J	`jnl`	Reliable Federated Disentangling Network for Non-IID Domain Feature. IEEE Trans. Big Data Meng Wang, Kai Yu, Chun-Mei Feng, Yiming Qian, Ke Zou, Lianyu Wang, Rick Siow Mong Goh, Xinxing Xu, Yong Liu, Huazhu Fu
2025	J	`jnl`	Secure and Explainable Fraud Detection in Finance via Hierarchical Multi-source Dataset Distillation. CoRR Yiming Qian, Thorsten Neumann, Xueyining Huang, David Hardoon, Fei Gao, Yong Liu, Rick Siow Mong Goh
2025	J	`jnl`	Self-distillation with model averaging. Inf. Sci. Xiaozhe Gu, Zixun Zhang, Ran Jin, Rick Siow Mong Goh, Tao Luo
2025	J	`jnl`	Semi-rPPG: Semi-Supervised Remote Physiological Measurement With Curriculum Pseudo-Labeling. IEEE Trans. Instrum. Meas. Bingjie Wu, Zitong Yu, Yiping Xie, Wei Liu, Chaoqi Luo, Yong Liu, Rick Siow Mong Goh
2025	J	`jnl`	Semi-rPPG: Semi-Supervised Remote Physiological Measurement with Curriculum Pseudo-Labeling. CoRR Bingjie Wu, Zitong Yu, Yiping Xie, Wei Liu, Chaoqi Luo, Yong Liu, Rick Siow Mong Goh
2025	J	`jnl`	Text to Image for Multi-Label Image Recognition With Joint Prompt-Adapter Learning. IEEE Trans. Pattern Anal. Mach. Intell. Chun-Mei Feng, Kai Yu, Xinxing Xu, Salman Khan, Rick Siow Mong Goh, Wangmeng Zuo, Yong Liu
2025	J	`jnl`	Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning. CoRR Chun-Mei Feng, Kai Yu, Xinxing Xu, Salman Khan, Rick Siow Mong Goh, Wangmeng Zuo, Yong Liu
2025	J	`jnl`	Toward Reliable Medical Image Segmentation by Modeling Evidential Calibrated Uncertainty. IEEE Trans. Cybern. Ke Zou, Yidi Chen, Ling Huang, Nan Zhou, Xuedong Yuan, Xiaojing Shen, Meng Wang, Rick Siow Mong Goh, Yong Liu, Yih Chung Tham, Huazhu Fu
2025	J	`jnl`	Training-Free Image Style Alignment for Domain Shift on Handheld Ultrasound Devices. IEEE Trans. Medical Imaging Hongye Zeng, Ke Zou, Zhihao Chen, Yuchong Gao, Hongbo Chen, Haibin Zhang, Kang Zhou, Meng Wang, Chang Jiang, Rick Siow Mong Goh, Yong Liu, Chengcheng Zhu, Rui Zheng, Huazhu Fu
2025	A*	`conf`	VQA4CIR: Boosting Composed Image Retrieval with Visual Question Answering. AAAI Chun-Mei Feng, Yang Bai, Tao Luo, Zhen Li, Salman H. Khan, Wangmeng Zuo, Rick Siow Mong Goh, Yong Liu
2024	—	`conf`	A New Perspective to Boost Performance Fairness For Medical Federated Learning. MICCAI (10) Yunlu Yan, Lei Zhu, Yuexiang Li, Xinxing Xu, Rick Siow Mong Goh, Yong Liu, Salman H. Khan, Chun-Mei Feng
2024	J	`jnl`	A New Perspective to Boost Performance Fairness for Medical Federated Learning. CoRR Yunlu Yan, Lei Zhu, Yuexiang Li, Xinxing Xu, Rick Siow Mong Goh, Yong Liu, Salman Khan, Chun-Mei Feng
2024	A*	`conf`	An Aggregation-Free Federated Learning for Tackling Data Heterogeneity. CVPR Yuan Wang, Huazhu Fu, Renuga Kanagavelu, Qingsong Wei, Yong Liu, Rick Siow Mong Goh
2024	J	`jnl`	An Aggregation-Free Federated Learning for Tackling Data Heterogeneity. CoRR Yuan Wang, Huazhu Fu, Renuga Kanagavelu, Qingsong Wei, Yong Liu, Rick Siow Mong Goh
2024	A*	`conf`	BenchX: A Unified Benchmark Framework for Medical Vision-Language Pretraining on Chest X-Rays. NeurIPS Yang Zhou, Tan Li Hui Faith, Yanyu Xu, Sicong Leng, Xinxing Xu, Yong Liu, Rick Siow Mong Goh
2024	J	`jnl`	BenchX: A Unified Benchmark Framework for Medical Vision-Language Pretraining on Chest X-Rays. CoRR Yang Zhou, Tan Li Hui Faith, Yanyu Xu, Sicong Leng, Xinxing Xu, Yong Liu, Rick Siow Mong Goh
2024	J	`jnl`	CPT: Consistent Proxy Tuning for Black-box Optimization. CoRR Yuanyang He, Zitong Huang, Xinxing Xu, Rick Siow Mong Goh, Salman Khan, Wangmeng Zuo, Yong Liu, Chun-Mei Feng
2024	—	`conf`	Category-Aware Test-Time Training Domain Adaptation. CAI Yangqin Feng, Xinxing Xu, Huazhu Fu, Yan Wang, Zizhou Wang, Liangli Zhen, Rick Siow Mong Goh, Yong Liu
2024	A*	`conf`	Class Balance Matters to Active Class-Incremental Learning. ACM Multimedia Zitong Huang, Ze Chen, Yuanze Li, Bowen Dong, Erjin Zhou, Yong Liu, Rick Siow Mong Goh, Chun-Mei Feng, Wangmeng Zuo
2024	J	`jnl`	Class Balance Matters to Active Class-Incremental Learning. CoRR Zitong Huang, Ze Chen, Yuanze Li, Bowen Dong, Erjin Zhou, Yong Liu, Rick Siow Mong Goh, Chun-Mei Feng, Wangmeng Zuo
2024	—	`conf`	Cost-Sensitive Distribution Alignment for Improving Automated Medical Diagnosis Using Retinal Fundus Photography. CAI Yangqin Feng, Xinxing Xu, Zizhou Wang, Yan Wang, Huazhu Fu, Shaohua Li, Liangli Zhen, Tien-En Tan, Mukharram M. Bikbov, Jost B. Jonas, Chee Wai Wong, Ching-Yu Cheng, Daniel Shu Wei Ting, Rick Siow Mong Goh, Yong Liu
2024	J	`jnl`	DL-Chain: Scalable and Stable Blockchain Sharding with High Concurrency via Dual-Layer Consensus. CoRR You Lin, Mingzhe Li, Qingsong Wei, Yong Liu, Rick Siow Mong Goh, Jin Zhang
2024	J	`jnl`	Diffusion-Enhanced Test-time Adaptation with Text and Image Augmentation. CoRR Chun-Mei Feng, Yuanyang He, Jian Zou, Salman Khan, Huan Xiong, Zhen Li, Wangmeng Zuo, Rick Siow Mong Goh, Yong Liu
2024	J	`jnl`	Don't Forget What I did?: Assessing Client Contributions in Federated Learning. CoRR Bishwamittra Ghosh, Debabrota Basu, Huazhu Fu, Yuan Wang, Renuga Kanagavelu, Jinpeng Jiang, Yong Liu, Rick Siow Mong Goh, Qingsong Wei
2024	J	`jnl`	EDCompress: Energy-Aware Model Compression for Dataflows. IEEE Trans. Neural Networks Learn. Syst. Zhehui Wang, Tao Luo, Rick Siow Mong Goh, Joey Tianyi Zhou
2024	J	`jnl`	Efficient Spiking Neural Networks With Radix Encoding. IEEE Trans. Neural Networks Learn. Syst. Zhehui Wang, Xiaozhe Gu, Rick Siow Mong Goh, Joey Tianyi Zhou, Tao Luo
2024	J	`jnl`	Enabling Energy-Efficient Deployment of Large Language Models on Memristor Crossbar: A Synergy of Large and Small. CoRR Zhehui Wang, Tao Luo, Cheng Liu, Weichen Liu, Rick Siow Mong Goh, Weng-Fai Wong
2024	J	`jnl`	Enhancing Community Vision Screening - AI Driven Retinal Photography for Early Disease Detection and Patient Trust. CoRR Xiaofeng Lei, Yih Chung Tham, Jocelyn Hui Lin Goh, Yangqin Feng, Yang Bai, Zhi Da Soh, Rick Siow Mong Goh, Xinxing Xu, Yong Liu, Ching-Yu Cheng
2024	—	`conf`	Enhancing Community Vision Screening: AI-Driven Retinal Photography for Early Disease Detection and Patient Trust. OMIA@MICCAI Xiaofeng Lei, Yih Chung Tham, Jocelyn Hui Lin Goh, Yangqin Feng, Yang Bai, Zhi Da Soh, Rick Siow Mong Goh, Xinxing Xu, Yong Liu, Ching-Yu Cheng
2024	—	`conf`	Fed-SHARC: Resilient Decentralized Federated Learning based on Reward driven Clustering. CAI Renuga Kanagavelu, Chris George Anil, Yuan Wang, Huazhu Fu, Qingsong Wei, Yong Liu, Rick Siow Mong Goh
2024	J	`jnl`	From Generalist to Specialist: Adapting Vision Language Models via Task-Specific Visual Instruction Tuning. CoRR Yang Bai, Yang Zhou, Jun Zhou, Rick Siow Mong Goh, Daniel Shu Wei Ting, Yong Liu
2024	J	`jnl`	Geometric Correspondence-Based Multimodal Learning for Ophthalmic Image Analysis. IEEE Trans. Medical Imaging Yan Wang, Liangli Zhen, Tien-En Tan, Huazhu Fu, Yangqin Feng, Zizhou Wang, Xinxing Xu, Rick Siow Mong Goh, Yipin Ng, Claire Calhoun, Gavin Siew Wei Tan, Jennifer K. Sun, Yong Liu, Daniel Shu Wei Ting
2024	J	`jnl`	Global Challenge for Safe and Secure LLMs Track 1. CoRR Xiaojun Jia, Yihao Huang, Yang Liu, Peng Yan Tan, Weng Kuan Yau, Mun-Thye Mak, Xin Ming Sim, Wee Siong Ng, See-Kiong Ng, Hanqing Liu, Lifeng Zhou, Huanqian Yan, Xiaobing Sun, Wei Liu, Long Wang, Yiming Qian, Yong Liu, Junxiao Yang, Zhexin Zhang, Leqi Lei, Renmiao Chen, Yida Lu, Shiyao Cui, Zizhou Wang, Shaohua Li, Yan Wang, Rick Siow Mong Goh, Liangli Zhen, Yingjie Zhang, Zhe Zhao
2024	J	`jnl`	How Interpretable are Reasoning Explanations from Prompting Large Language Models? CoRR Wei Jie Yeo, Ranjan Satapathy, Rick Siow Mong Goh, Erik Cambria
2024	—	`conf`	Information Extraction: Unstructured to Structured for ESG Reports. ICDM (Workshops) Zounachuan Sun, Ranjan Satapathy, Daixue Guo, Bo Li, Xinyuan Liu, Yangchen Zhang, Cheng-Ann Tan, Ricardo Shirota Filho, Rick Siow Mong Goh
2024	J	`jnl`	Learning Prompt with Distribution-Based Feature Replay for Few-Shot Class-Incremental Learning. CoRR Zitong Huang, Ze Chen, Zhixing Chen, Erjin Zhou, Xinxing Xu, Rick Siow Mong Goh, Yong Liu, Chun-Mei Feng, Wangmeng Zuo
2024	—	`conf`	Learning Task-Specific Initialization for Effective Federated Continual Fine-Tuning of Foundation Model Adapters. CAI Danni Peng, Yuan Wang, Huazhu Fu, Qingsong Wei, Yong Liu, Rick Siow Mong Goh
2024	—	`conf`	Llama-TCR: Generate De Novo TCR with Large Language Model. CAI Jun Zhou, Zhenzhou Wu, Mengren Man, Yonghui Wu, Linh Le Dinh, Manna Dai, Yong Liu, Rick Siow Mong Goh
2024	—	`conf`	Machine Learning-Based Radiomic Features for Glioblastoma Overall Survival Prediction. CAI Ankit Das, Kee Yen Cheng, Yong Liu, Rick Siow Mong Goh, Feng Yang
2024	—	`conf`	MedMLP: An Efficient MLP-Like Network for Zero-Shot Retinal Image Classification. MICCAI (3) Menghan Zhou, Yanyu Xu, Zhi Da Soh, Huazhu Fu, Rick Siow Mong Goh, Ching-Yu Cheng, Yong Liu, Liangli Zhen
2024	—	`conf`	MedSynth: Leveraging Generative Model for Healthcare Data Sharing. MICCAI (12) Renuga Kanagavelu, Madhav Walia, Yuan Wang, Huazhu Fu, Qingsong Wei, Yong Liu, Rick Siow Mong Goh
2024	—	`conf`	Multi-Scale Region-Aware Implicit Neural Network for Medical Images Matting. MICCAI (9) Yanyu Xu, Yingzhi Xia, Huazhu Fu, Rick Siow Mong Goh, Yong Liu, Xinxing Xu
2024	—	`conf`	Neurosymbolic AI for Mining Key Aspects of Socially Responsible Investing. ICDM (Workshops) Wihan van der Heever, Ranjan Satapathy, Erik Cambria, Rick Siow Mong Goh
2024	J	`jnl`	Optimizing for In-Memory Deep Learning With Emerging Memory Technology. IEEE Trans. Neural Networks Learn. Syst. Zhehui Wang, Tao Luo, Rick Siow Mong Goh, Wei Zhang, Weng-Fai Wong
2024	—	`conf`	Partially Supervised Unpaired Multi-modal Learning for Label-Efficient Medical Image Segmentation. MLMI@MICCAI (2) Lei Zhu, Yanyu Xu, Huazhu Fu, Xinxing Xu, Rick Siow Mong Goh, Yong Liu
2024	J	`jnl`	Privacy-Preserving Federated Foundation Model for Generalist Ultrasound Artificial Intelligence. CoRR Yuncheng Jiang, Chun-Mei Feng, Jinke Ren, Jun Wei, Zixun Zhang, Yiwen Hu, Yunbi Liu, Rui Sun, Xuemei Tang, Juan Du, Xiang Wan, Yong Xu, Bo Du, Xin Gao, Guangyu Wang, Shaohua Zhou, Shuguang Cui, Rick Siow Mong Goh, Yong Liu, Zhen Li
2024	J	`jnl`	RCT: Resource Constrained Training for Edge AI. IEEE Trans. Neural Networks Learn. Syst. Tian Huang, Tao Luo, Ming Yan, Joey Tianyi Zhou, Rick Siow Mong Goh
2024	—	`conf`	SegMAE-Net: A Hybrid Method Using Masked Autoencoders for Consistent 3D Medical Image Segmentation. CAI Zheng Kai Liaw, Ankit Das, Shaista Hussain, Feng Yang, Yong Liu, Rick Siow Mong Goh
2024	A*	`conf`	Sentence-level Prompts Benefit Composed Image Retrieval. ICLR Yang Bai, Xinxing Xu, Yong Liu, Salman Khan, Fahad Khan, Wangmeng Zuo, Rick Siow Mong Goh, Chun-Mei Feng
2024	—	`conf`	Split Learning of Multi-Modal Medical Image Classification. CAI Bishwamittra Ghosh, Yuan Wang, Huazhu Fu, Qingsong Wei, Yong Liu, Rick Siow Mong Goh
2024	—	`conf`	TTCR: Accurate TCR-Epitope Binding Affinity Prediction Using Transformers. CAI Manna Dai, Yonghui Wu, Jun Zhou, Zhenzhou Wu, Mengren Man, Linh Le Dinh, Joyjit Chattoraj, Feng Yang, My Ha Dao, Yong Liu, Rick Siow Mong Goh
2024	A	`conf`	Table-Lookup MAC: Scalable Processing of Quantised Neural Networks in FPGA Soft Logic. FPGA Daniel Gerlinghoff, Benjamin Chen Ming Choong, Rick Siow Mong Goh, Weng-Fai Wong, Tao Luo
2024	J	`jnl`	Table-Lookup MAC: Scalable Processing of Quantised Neural Networks in FPGA Soft Logic. CoRR Daniel Gerlinghoff, Benjamin Chen Ming Choong, Rick Siow Mong Goh, Weng-Fai Wong, Tao Luo
2024	J	`jnl`	Training-free image style alignment for self-adapting domain shift on handheld ultrasound devices. CoRR Hongye Zeng, Ke Zou, Zhihao Chen, Yuchong Gao, Hongbo Chen, Haibin Zhang, Kang Zhou, Meng Wang, Rick Siow Mong Goh, Yong Liu, Chang Jiang, Rui Zheng, Huazhu Fu
2024	—	`conf`	Unveiling the Potential of ChatGPT in Detecting Machine Unauditable Bugs in Smart Contracts: A Preliminary Evaluation and Categorization. CAI Bo Gao, Qingsong Wei, Yong Liu, Rick Siow Mong Goh
2024	—	`conf`	UrFound: Towards Universal Retinal Foundation Models via Knowledge-Guided Masked Modeling. MICCAI (12) Kai Yu, Yang Zhou, Yang Bai, Zhi Da Soh, Xinxing Xu, Rick Siow Mong Goh, Ching-Yu Cheng, Yong Liu
2024	J	`jnl`	UrFound: Towards Universal Retinal Foundation Models via Knowledge-Guided Masked Modeling. CoRR Kai Yu, Yang Zhou, Yang Bai, Zhi Da Soh, Xinxing Xu, Rick Siow Mong Goh, Ching-Yu Cheng, Yong Liu
2023	J	`jnl`	Achieving Green AI with Energy-Efficient Deep Learning Using Neuromorphic Computing. Commun. ACM Tao Luo, Weng-Fai Wong, Rick Siow Mong Goh, Anh Tuan Do, Zhixian Chen, Haizhou Li, Wenyu Jiang, Weiyun Yau
2023	J	`jnl`	Benchmarking Quantum(-Inspired) Annealing Hardware on Practical Use Cases. IEEE Trans. Computers Tian Huang, Jun Xu, Tao Luo, Xiaozhe Gu, Rick Siow Mong Goh, Weng-Fai Wong
2023	—	`conf`	Category-Independent Visual Explanation for Medical Deep Network Understanding. MICCAI (2) Yiming Qian, Liangzhi Li, Huazhu Fu, Meng Wang, Qingsheng Peng, Yih Chung Tham, Ching Yu Cheng, Yong Liu, Rick Siow Mong Goh, Xinxing Xu
2023	J	`jnl`	Contrastive domain adaptation with consistency match for automated pneumonia diagnosis. Medical Image Anal. Yangqin Feng, Zizhou Wang, Xinxing Xu, Yan Wang, Huazhu Fu, Shaohua Li, Liangli Zhen, Xiaofeng Lei, Yingnan Cui, Jordan Zheng Ting Sim, Yonghan Ting, Joey Tianyi Zhou, Yong Liu, Rick Siow Mong Goh, Cher Heng Tan
2023	J	`jnl`	DeepFire2: A Convolutional Spiking Neural Network Accelerator on FPGAs. CoRR Myat Thu Linn Aung, Daniel Gerlinghoff, Chuping Qu, Liwei Yang, Tian Huang, Rick Siow Mong Goh, Tao Luo, Weng-Fai Wong
2023	J	`jnl`	DeepFire2: A Convolutional Spiking Neural Network Accelerator on FPGAs. IEEE Trans. Computers Myat Thu Linn Aung, Daniel Gerlinghoff, Chuping Qu, Liwei Yang, Tian Huang, Rick Siow Mong Goh, Tao Luo, Weng-Fai Wong
2023	J	`jnl`	Desire backpropagation: A lightweight training algorithm for multi-layer spiking neural networks based on spike-timing-dependent plasticity. Neurocomputing Daniel Gerlinghoff, Tao Luo, Rick Siow Mong Goh, Weng-Fai Wong
2023	J	`jnl`	EvidenceCap: Towards trustworthy medical image segmentation via evidential identity cap. CoRR Ke Zou, Xuedong Yuan, Xiaojing Shen, Yidi Chen, Meng Wang, Rick Siow Mong Goh, Yong Liu, Huazhu Fu
2023	J	`jnl`	Federated Pseudo Modality Generation for Incomplete Multi-Modal MRI Reconstruction. CoRR Yunlu Yan, Chun-Mei Feng, Yuexiang Li, Rick Siow Mong Goh, Lei Zhu
2023	—	`conf`	Federated Uncertainty-Aware Aggregation for Fundus Diabetic Retinopathy Staging. MICCAI (2) Meng Wang, Lianyu Wang, Xinxing Xu, Ke Zou, Yiming Qian, Rick Siow Mong Goh, Yong Liu, Huazhu Fu
2023	J	`jnl`	Federated Uncertainty-Aware Aggregation for Fundus Diabetic Retinopathy Staging. CoRR Meng Wang, Lianyu Wang, Xinxing Xu, Ke Zou, Yiming Qian, Rick Siow Mong Goh, Yong Liu, Huazhu Fu
2023	J	`jnl`	Federated benchmarking of medical artificial intelligence with MedPerf. Nat. Mac. Intell. 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 S. Nalawade, Jacob Rosenthal, David Kanter, Maria Xenochristou, Daniel J. Beutel, Verena Chung, Timothy Bergquist, James A. 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 F. Diamos, Debo Dutta, Diane Feddema, Grigori Fursin, Xinyuan Huang, Satyananda Kashyap, Nicholas D. 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
2023	A*	`conf`	MA-BERT: Towards Matrix Arithmetic-only BERT Inference by Eliminating Complex Non-Linear Functions. ICLR Neo Wei Ming, Zhehui Wang, Cheng Liu, Rick Siow Mong Goh, Tao Luo
2023	—	`conf`	Minimal-Supervised Medical Image Segmentation via Vector Quantization Memory. MICCAI (3) Yanyu Xu, Menghan Zhou, Yangqin Feng, Xinxing Xu, Huazhu Fu, Rick Siow Mong Goh, Yong Liu
2023	J	`jnl`	Rethinking Client Drift in Federated Learning: A Logit Perspective. CoRR Yunlu Yan, Chun-Mei Feng, Mang Ye, Wangmeng Zuo, Ping Li, Rick Siow Mong Goh, Lei Zhu, C. L. Philip Chen
2023	J	`jnl`	Sentence-level Prompts Benefit Composed Image Retrieval. CoRR Yang Bai, Xinxing Xu, Yong Liu, Salman Khan, Fahad Shahbaz Khan, Wangmeng Zuo, Rick Siow Mong Goh, Chun-Mei Feng
2023	J	`jnl`	Simeuro: A Hybrid CPU-GPU Parallel Simulator for Neuromorphic Computing Chips. IEEE Trans. Parallel Distributed Syst. Huaipeng Zhang, Nhut-Minh Ho, Dogukan Yigit Polat, Peng Chen, Mohamed Wahib, Truong Thao Nguyen, Jintao Meng, Rick Siow Mong Goh, Satoshi Matsuoka, Tao Luo, Weng-Fai Wong
2023	J	`jnl`	TrFedDis: Trusted Federated Disentangling Network for Non-IID Domain Feature. CoRR Meng Wang, Kai Yu, Chun-Mei Feng, Yiming Qian, Ke Zou, Lianyu Wang, Rick Siow Mong Goh, Xinxing Xu, Yong Liu, Huazhu Fu
2023	J	`jnl`	Uncertainty-inspired Open Set Learning for Retinal Anomaly Identification. CoRR 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, Xinjian Chen, Daoqiang Zhang, Rick Siow Mong Goh, Yong Liu, Chi Pui Pang, Haoyu Chen, Huazhu Fu
2023	J	`jnl`	VQA4CIR: Boosting Composed Image Retrieval with Visual Question Answering. CoRR Chun-Mei Feng, Yang Bai, Tao Luo, Zhen Li, Salman Khan, Wangmeng Zuo, Xinxing Xu, Rick Siow Mong Goh, Yong Liu
2023	J	`jnl`	When quantum annealing meets multitasking: Potentials, challenges and opportunities. Array Tian Huang, Yongxin Zhu, Rick Siow Mong Goh, Tao Luo
2022	A	`conf`	A Resource-efficient Spiking Neural Network Accelerator Supporting Emerging Neural Encoding. DATE Daniel Gerlinghoff, Zhehui Wang, Xiaozhe Gu, Rick Siow Mong Goh, Tao Luo
2022	J	`jnl`	A Resource-efficient Spiking Neural Network Accelerator Supporting Emerging Neural Encoding. CoRR Daniel Gerlinghoff, Zhehui Wang, Xiaozhe Gu, Rick Siow Mong Goh, Tao Luo
2022	A	`conf`	Adversarial Semantic Hallucination for Domain Generalized Semantic Segmentation. WACV Gabriel Tjio, Ping Liu, Joey Tianyi Zhou, Rick Siow Mong Goh
2022	J	`jnl`	Adversarial multimodal fusion with attention mechanism for skin lesion classification using clinical and dermoscopic images. Medical Image Anal. Yan Wang, Yangqin Feng, Lei Zhang, Joey Tianyi Zhou, Yong Liu, Rick Siow Mong Goh, Liangli Zhen
2022	—	`conf`	An Efficient Defending Mechanism Against Image Attacking on Medical Image Segmentation Models. REMIA@MICCAI Linh D. Le, Huazhu Fu, Xinxing Xu, Yong Liu, Yanyu Xu, Jiawei Du, Joey Tianyi Zhou, Rick Siow Mong Goh
2022	J	`jnl`	Benchmarking Quantum(-inspired) Annealing Hardware on Practical Use Cases. CoRR Tian Huang, Jun Xu, Tao Luo, Xiaozhe Gu, Rick Siow Mong Goh, Weng-Fai Wong
2022	J	`jnl`	Big Data Driven Vessel Trajectory and Navigating State Prediction With Adaptive Learning, Motion Modeling and Particle Filtering Techniques. IEEE Trans. Intell. Transp. Syst. Zhe Xiao, Xiuju Fu, Liye Zhang, Wanbing Zhang, Ryan Wen Liu, Zhao Liu, Rick Siow Mong Goh
2022	J	`jnl`	CE-Fed: Communication efficient multi-party computation enabled federated learning. Array Renuga Kanagavelu, Qingsong Wei, Zengxiang Li, Haibin Zhang, Juniarto Samsudin, Yechao Yang, Rick Siow Mong Goh, Shangguang Wang
2022	A*	`conf`	CRAFT: Cross-Attentional Flow Transformer for Robust Optical Flow. CVPR Xiuchao Sui, Shaohua Li, Xue Geng, Yan Wu, Xinxing Xu, Yong Liu, Rick Siow Mong Goh, Hongyuan Zhu
2022	J	`jnl`	CRAFT: Cross-Attentional Flow Transformer for Robust Optical Flow. CoRR Xiuchao Sui, Shaohua Li, Xue Geng, Yan Wu, Xinxing Xu, Yong Liu, Rick Siow Mong Goh, Hongyuan Zhu
2022	J	`jnl`	Coreset: Hierarchical neuromorphic computing supporting large-scale neural networks with improved resource efficiency. Neurocomputing Liwei Yang, Huaipeng Zhang, Tao Luo, Chuping Qu, Myat Thu Linn Aung, Yingnan Cui, Jun Zhou, Ming Ming Wong, Junran Pu, Anh Tuan Do, Rick Siow Mong Goh, Weng-Fai Wong
2022	J	`jnl`	Corrigendum to "Coreset: Hierarchical neuromorphic computing supporting large-scale neural networks with improved resource efficiency" [Neurocomputing (2022) 128-140]. Neurocomputing Liwei Yang, Huaipeng Zhang, Tao Luo, Chuping Qu, Myat Thu Linn Aung, Yingnan Cui, Jun Zhou, Ming Ming Wong, Junran Pu, Anh Tuan Do, Rick Siow Mong Goh, Weng-Fai Wong
2022	J	`jnl`	Deep Multimodal Transfer Learning for Cross-Modal Retrieval. IEEE Trans. Neural Networks Learn. Syst. Liangli Zhen, Peng Hu, Xi Peng, Rick Siow Mong Goh, Joey Tianyi Zhou
2022	J	`jnl`	Desire Backpropagation: A Lightweight Training Algorithm for Multi-Layer Spiking Neural Networks based on Spike-Timing-Dependent Plasticity. CoRR Daniel Gerlinghoff, Tao Luo, Rick Siow Mong Goh, Weng-Fai Wong
2022	J	`jnl`	E3NE: An End-to-End Framework for Accelerating Spiking Neural Networks With Emerging Neural Encoding on FPGAs. IEEE Trans. Parallel Distributed Syst. Daniel Gerlinghoff, Zhehui Wang, Xiaozhe Gu, Rick Siow Mong Goh, Tao Luo
2022	A*	`conf`	Efficient Sharpness-aware Minimization for Improved Training of Neural Networks. ICLR Jiawei Du, Hanshu Yan, Jiashi Feng, Joey Tianyi Zhou, Liangli Zhen, Rick Siow Mong Goh, Vincent Y. F. Tan
2022	—	`conf`	Facing Annotation Redundancy: OCT Layer Segmentation with only 10 Annotated Pixels per Layer. REMIA@MICCAI Yanyu Xu, Xinxing Xu, Huazhu Fu, Meng Wang, Rick Siow Mong Goh, Yong Liu
2022	J	`jnl`	FedUKD: Federated UNet Model with Knowledge Distillation for Land Use Classification from Satellite and Street Views. CoRR Renuga Kanagavelu, Kinshuk Dua, Pratik Garai, Susan Elias, Neha Thomas, Simon Elias, Qingsong Wei, Rick Siow Mong Goh, Yong Liu
2022	—	`conf`	Localizing Anatomical Landmarks in Ocular Images Using Zoom-In Attentive Networks. OMIA@MICCAI Xiaofeng Lei, Shaohua Li, Xinxing Xu, Huazhu Fu, Yong Liu, Yih Chung Tham, Yangqin Feng, Mingrui Tan, Yanyu Xu, Jocelyn Hui Lin Goh, Rick Siow Mong Goh, Ching-Yu Cheng
2022	J	`jnl`	Localizing Anatomical Landmarks in Ocular Images using Zoom-In Attentive Networks. CoRR Xiaofeng Lei, Shaohua Li, Xinxing Xu, Huazhu Fu, Yong Liu, Yih Chung Tham, Yangqin Feng, Mingrui Tan, Yanyu Xu, Jocelyn Hui Lin Goh, Rick Siow Mong Goh, Ching-Yu Cheng
2022	J	`jnl`	NC-Net: Efficient Neuromorphic Computing Using Aggregated Subnets on a Crossbar-Based Architecture With Nonvolatile Memory. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Tao Luo, Liwei Yang, Huaipeng Zhang, Chuping Qu, Xuan Wang, Yingnan Cui, Weng-Fai Wong, Rick Siow Mong Goh
2022	J	`jnl`	Natural Language Video Localization: A Revisit in Span-Based Question Answering Framework. IEEE Trans. Pattern Anal. Mach. Intell. Hao Zhang, Aixin Sun, Wei Jing, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh
2022	—	`conf`	Tiny-Lesion Segmentation in OCT via Multi-scale Wavelet Enhanced Transformer. OMIA@MICCAI Meng Wang, Kai Yu, Xinxing Xu, Yi Zhou, Yuanyuan Peng, Yanyu Xu, Rick Siow Mong Goh, Yong Liu, Huazhu Fu
2021	J	`jnl`	Adversarial Semantic Hallucination for Domain Generalized Semantic Segmentation. CoRR Gabriel Tjio, Ping Liu, Joey Tianyi Zhou, Rick Siow Mong Goh
2021	J	`jnl`	Concurrent Processing Cluster Design to Empower Simultaneous Prediction for Hundreds of Vessels' Trajectories in Near Real-Time. IEEE Trans. Syst. Man Cybern. Syst. Zhe Xiao, Liye Zhang, Xiuju Fu, Wanbing Zhang, Joey Tianyi Zhou, Rick Siow Mong Goh
2021	J	`jnl`	DTNN: Energy-efficient Inference with Dendrite Tree Inspired Neural Networks for Edge Vision Applications. CoRR Tao Luo, Wai Teng Tang, Matthew Kay Fei Lee, Chuping Qu, Weng-Fai Wong, Rick Siow Mong Goh
2021	B	`conf`	DeepFire: Acceleration of Convolutional Spiking Neural Network on Modern Field Programmable Gate Arrays. FPL Myat Thu Linn Aung, Chuping Qu, Liwei Yang, Tao Luo, Rick Siow Mong Goh, Weng-Fai Wong
2021	J	`jnl`	E3NE: An End-to-End Framework for Accelerating Spiking Neural Networks with Emerging Neural Encoding on FPGAs. CoRR Daniel Gerlinghoff, Zhehui Wang, Xiaozhe Gu, Rick Siow Mong Goh, Tao Luo
2021	J	`jnl`	Efficient Sharpness-aware Minimization for Improved Training of Neural Networks. CoRR Jiawei Du, Hanshu Yan, Jiashi Feng, Joey Tianyi Zhou, Liangli Zhen, Rick Siow Mong Goh, Vincent Y. F. Tan
2021	J	`jnl`	Efficient Spiking Neural Networks with Radix Encoding. CoRR Zhehui Wang, Xiaozhe Gu, Rick Siow Mong Goh, Joey Tianyi Zhou, Tao Luo
2021	J	`jnl`	Evolutionary Multi-Objective Model Compression for Deep Neural Networks. IEEE Comput. Intell. Mag. Zhehui Wang, Tao Luo, Miqing Li, Joey Tianyi Zhou, Rick Siow Mong Goh, Liangli Zhen
2021	—	`conf`	Few-Shot Domain Adaptation with Polymorphic Transformers. MICCAI (2) Shaohua Li, Xiuchao Sui, Jie Fu, Huazhu Fu, Xiangde Luo, Yangqin Feng, Xinxing Xu, Yong Liu, Daniel Shu Wei Ting, Rick Siow Mong Goh
2021	J	`jnl`	Few-Shot Domain Adaptation with Polymorphic Transformers. CoRR Shaohua Li, Xiuchao Sui, Jie Fu, Huazhu Fu, Xiangde Luo, Yangqin Feng, Xinxing Xu, Yong Liu, Daniel Shu Wei Ting, Rick Siow Mong Goh
2021	J	`jnl`	Low Latency Big Data Processing without Prior Information. IEEE Trans. Cloud Comput. Zhiming Hu, Baochun Li, Zheng Qin, Rick Siow Mong Goh
2021	A*	`conf`	Medical Image Segmentation using Squeeze-and-Expansion Transformers. IJCAI Shaohua Li, Xiuchao Sui, Xiangde Luo, Xinxing Xu, Yong Liu, Rick Siow Mong Goh
2021	J	`jnl`	Medical Image Segmentation using Squeeze-and-Expansion Transformers. CoRR Shaohua Li, Xiuchao Sui, Xiangde Luo, Xinxing Xu, Yong Liu, Rick Siow Mong Goh
2021	J	`jnl`	Natural Language Video Localization: A Revisit in Span-based Question Answering Framework. CoRR Hao Zhang, Aixin Sun, Wei Jing, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh
2021	J	`jnl`	Optimizing for In-memory Deep Learning with Emerging Memory Technology. CoRR Zhehui Wang, Tao Luo, Rick Siow Mong Goh, Wei Zhang, Weng-Fai Wong
2021	—	`conf`	Parallel Attention Network with Sequence Matching for Video Grounding. ACL/IJCNLP (Findings) Hao Zhang, Aixin Sun, Wei Jing, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh
2021	J	`jnl`	Parallel Attention Network with Sequence Matching for Video Grounding. CoRR Hao Zhang, Aixin Sun, Wei Jing, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh
2021	—	`conf`	Partially-Supervised Learning for Vessel Segmentation in Ocular Images. MICCAI (1) Yanyu Xu, Xinxing Xu, Lei Jin, Shenghua Gao, Rick Siow Mong Goh, Daniel Shu Wei Ting, Yong Liu
2021	J	`jnl`	RCT: Resource Constrained Training for Edge AI. CoRR Tian Huang, Tao Luo, Ming Yan, Joey Tianyi Zhou, Rick Siow Mong Goh
2021	A*	`conf`	Video Corpus Moment Retrieval with Contrastive Learning. SIGIR Hao Zhang, Aixin Sun, Wei Jing, Guoshun Nan, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh
2021	J	`jnl`	Video Corpus Moment Retrieval with Contrastive Learning. CoRR Hao Zhang, Aixin Sun, Wei Jing, Guoshun Nan, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh
2020	J	`jnl`	An FPGA-Based Hardware Emulator for Neuromorphic Chip With RRAM. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Tao Luo, Xuan Wang, Chuping Qu, Matthew Kay Fei Lee, Wai Teng Tang, Weng-Fai Wong, Rick Siow Mong Goh
2020	J	`jnl`	Blockchain and IoT for Insurance: A Case Study and Cyberinfrastructure Solution on Fine-Grained Transportation Insurance. IEEE Trans. Comput. Soc. Syst. Zhe Xiao, Zengxiang Li, Yechao Yang, Piao Chen, Ryan Wen Liu, Wei Jing, Yauheni Pyrloh, Ekanut Sotthiwat, Rick Siow Mong Goh
2020	J	`jnl`	Deep N-ary Error Correcting Output Codes. CoRR Hao Zhang, Joey Tianyi Zhou, Tianying Wang, Ivor W. Tsang, Rick Siow Mong Goh
2020	J	`jnl`	EDCompress: Energy-Aware Model Compression with Dataflow. CoRR Zhehui Wang, Tao Luo, Joey Tianyi Zhou, Rick Siow Mong Goh
2020	J	`jnl`	Fast Recovery MapReduce (FAR-MR) to accelerate failure recovery in big data applications. J. Supercomput. Yongqing Zhu, Juniarto Samsudin, Renuga Kanagavelu, Weiwen Zhang, Long Wang, Theint Theint Aye, Rick Siow Mong Goh
2020	J	`jnl`	Feature Lenses: Plug-and-play Neural Modules for Transformation-Invariant Visual Representations. CoRR Shaohua Li, Xiuchao Sui, Jie Fu, Yong Liu, Rick Siow Mong Goh
2020	—	`conf`	NCPower: Power Modelling for NVM-based Neuromorphic Chip. ICONS Zhehui Wang, Huaipeng Zhang, Tao Luo, Weng-Fai Wong, Anh-Tuan Do, Paramasivam Vishnu, Wei Zhang, Rick Siow Mong Goh
2020	J	`jnl`	Privacy-Preserving Weighted Federated Learning Within the Secret Sharing Framework. IEEE Access Huafei Zhu, Rick Siow Mong Goh, Wee Keong Ng
2020	J	`jnl`	Privacy-preserving Weighted Federated Learning within Oracle-Aided MPC Framework. CoRR Huafei Zhu, Zengxiang Li, Merivyn Cheah, Rick Siow Mong Goh
2020	J	`jnl`	RAIN: Robust and Accurate Classification Networks with Randomization and Enhancement. CoRR Jiawei Du, Hanshu Yan, Joey Tianyi Zhou, Rick Siow Mong Goh, Jiashi Feng
2020	J	`jnl`	Traffic Pattern Mining and Forecasting Technologies in Maritime Traffic Service Networks: A Comprehensive Survey. IEEE Trans. Intell. Transp. Syst. Zhe Xiao, Xiuju Fu, Liye Zhang, Rick Siow Mong Goh
2020	B	`conf`	Two-Phase Multi-Party Computation Enabled Privacy-Preserving Federated Learning. CCGRID Renuga Kanagavelu, Zengxiang Li, Juniarto Samsudin, Yechao Yang, Feng Yang, Rick Siow Mong Goh, Mervyn Cheah, Praewpiraya Wiwatphonthana, Khajonpong Akkarajitsakul, Shangguang Wang
2020	J	`jnl`	Two-Phase Multi-Party Computation Enabled Privacy-Preserving Federated Learning. CoRR Renuga Kanagavelu, Zengxiang Li, Juniarto Samsudin, Yechao Yang, Feng Yang, Rick Siow Mong Goh, Mervyn Cheah, Praewpiraya Wiwatphonthana, Khajonpong Akkarajitsakul, Shangguang Wang
2019	J	`jnl`	A System-Level Simulator for RRAM-Based Neuromorphic Computing Chips. ACM Trans. Archit. Code Optim. Matthew Kay Fei Lee, Yingnan Cui, Thannirmalai Somu, Tao Luo, Jun Zhou, Wai Teng Tang, Weng-Fai Wong, Rick Siow Mong Goh
2019	J	`jnl`	AnomalyNet: An Anomaly Detection Network for Video Surveillance. IEEE Trans. Inf. Forensics Secur. Joey Tianyi Zhou, Jiawei Du, Hongyuan Zhu, Xi Peng, Yong Liu, Rick Siow Mong Goh
2019	—	`conf`	Dual Adversarial Neural Transfer for Low-Resource Named Entity Recognition. ACL (1) Joey Tianyi Zhou, Hao Zhang, Di Jin, Hongyuan Zhu, Meng Fang, Rick Siow Mong Goh, Kenneth Kwok
2019	—	`conf`	Efficient Compression and Preprocessing for Facilitating Large Scale Spatiotemporal Data Mining - A Case Study based on Automatic Identification System Data. IEEM Haiyan Xu, Vasundhara Jayaraman, Xiuju Fu, Nasri Bin Othman, Wanbing Zhang, Xiaofeng Yin, Deqing Zhai, Rick Siow Mong Goh
2019	B	`conf`	Efficient Multi-party Computation Algorithm Design for Real-World Applications. ICPADS Zengxiang Li, Chutima Kitcharoenpaisan, Phond Phunchongharn, Yechao Yang, Rick Siow Mong Goh, Yusen Li
2019	J	`jnl`	Learning With Annotation of Various Degrees. IEEE Trans. Neural Networks Learn. Syst. Joey Tianyi Zhou, Meng Fang, Hao Zhang, Chen Gong, Xi Peng, Zhiguo Cao, Rick Siow Mong Goh
2019	—	`conf`	Multi-Instance Multi-Scale CNN for Medical Image Classification. MICCAI (4) Shaohua Li, Yong Liu, Xiuchao Sui, Cheng Chen, Gabriel Tjio, Daniel Shu Wei Ting, Rick Siow Mong Goh
2019	J	`jnl`	Multi-Instance Multi-Scale CNN for Medical Image Classification. CoRR Shaohua Li, Yong Liu, Xiuchao Sui, Cheng Chen, Gabriel Tjio, Daniel Shu Wei Ting, Rick Siow Mong Goh
2019	—	`conf`	Multi-discriminator Generative Adversarial Networks for Improved Thin Retinal Vessel Segmentation. OMIA@MICCAI Gabriel Tjio, Shaohua Li, Xinxing Xu, Daniel Shu Wei Ting, Yong Liu, Rick Siow Mong Goh
2019	—	`conf`	Optimization and Simulation on Tanker Vessels Scheduling for Efficient Terminal Operations. IEEM Deqing Zhai, Xiuju Fu, Haiyan Xu, Xiaofeng Yin, Jayaraman Vasundhara, Wanbing Zhang, Rick Siow Mong Goh
2018	J	`jnl`	A Network-Based Impact Measure for Propagated Losses in a Supply Chain Network Consisting of Resilient Components. Complex. Jesus Felix Bayta Valenzuela, Xiuju Fu, Gaoxi Xiao, Rick Siow Mong Goh
2018	B	`conf`	Blockchain and IoT Data Analytics for Fine-Grained Transportation Insurance. ICPADS Zengxiang Li, Zhe Xiao, Quanqing Xu, Ekanut Sotthiwat, Rick Siow Mong Goh, Xueping Liang
2018	B	`conf`	Building an Ethereum and IPFS-Based Decentralized Social Network System. ICPADS Quanqing Xu, Zhiwen Song, Rick Siow Mong Goh, Yongjun Li
2018	B	`conf`	Concurrent Hybrid Breadth-First-Search on Distributed PowerGraph for Skewed Graphs. ICPADS Zengxiang Li, Shen Ren, Sifei Lu, Jiachun Guo, Wentong Cai, Qin Zheng, Rick Siow Mong Goh
2018	B	`conf`	Cost-Efficient and Latency-Aware Workflow Scheduling Policy for Container-Based Systems. ICPADS Weiwen Zhang, Yong Liu, Long Wang, Zengxiang Li, Rick Siow Mong Goh
2018	J	`jnl`	Data Privacy-Preserving Automation Architecture for Industrial Data Exchange in Smart Cities. IEEE Trans. Ind. Informatics Zhe Xiao, Xiuju Fu, Rick Siow Mong Goh
2018	B	`conf`	EMRShare: A Cross-Organizational Medical Data Sharing and Management Framework Using Permissioned Blockchain. ICPADS Zhe Xiao, Zengxiang Li, Yong Liu, Ling Feng, Weiwen Zhang, Thanarit Lertwuthikarn, Rick Siow Mong Goh
2018	J	`jnl`	Exploiting Sparsity to Accelerate Fully Connected Layers of CNN-Based Applications on Mobile SoCs. ACM Trans. Embed. Comput. Syst. Xinfeng Xie, Dayou Du, Qian Li, Yun Liang, Wai Teng Tang, Zhongliang Ong, Mian Lu, Huynh Phung Huynh, Rick Siow Mong Goh
2018	B	`conf`	Optimal Fee Structure for Efficient Lightning Networks. ICPADS Alvin Heng Jun Ren, Ling Feng, Siew Ann Cheong, Rick Siow Mong Goh
2018	J	`jnl`	QLDS: A Novel Design Scheme for Trajectory Privacy Protection with Utility Guarantee in Participatory Sensing. IEEE Trans. Mob. Comput. Zhe Xiao, Jingjing Yang, Ming Huang, Loganathan Ponnambalam, Xiuju Fu, Rick Siow Mong Goh
2018	A*	`conf`	SC2Net: Sparse LSTMs for Sparse Coding. AAAI Joey Tianyi Zhou, Kai Di, Jiawei Du, Xi Peng, Hao Yang, Sinno Jialin Pan, Ivor W. Tsang, Yong Liu, Zheng Qin, Rick Siow Mong Goh
2018	J	`jnl`	Transfer Hashing: From Shallow to Deep. IEEE Trans. Neural Networks Learn. Syst. Joey Tianyi Zhou, Heng Zhao, Xi Peng, Meng Fang, Zheng Qin, Rick Siow Mong Goh
2017	—	`conf`	Data-driven multi-agent system for maritime traffic safety management. ITSC Zhe Xiao, Xiuju Fu, Liye Zhang, Loganathan Ponnambalam, Rick Siow Mong Goh
2017	A	`conf`	Job Scheduling without Prior Information in Big Data Processing Systems. ICDCS Zhiming Hu, Baochun Li, Zheng Qin, Rick Siow Mong Goh
2017	B	`conf`	Performance Modelling and Cost Effective Execution for Distributed Graph Processing on Configurable VMs. CCGrid Zengxiang Li, Bowen Zhang, Shen Ren, Yong Liu, Zheng Qin, Rick Siow Mong Goh, Mohan Gurusamy
2017	J	`jnl`	Scale-Free Sparse Matrix-Vector Multiplication on Many-Core Architectures. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Yun Liang, Wai Teng Tang, Ruizhe Zhao, Mian Lu, Huynh Phung Huynh, Rick Siow Mong Goh
2016	—	`conf`	Efficient Query Processing on Many-core Architectures: A Case Study with Intel Xeon Phi Processor. SIGMOD Conference Xuntao Cheng, Bingsheng He, Mian Lu, Chiew Tong Lau, Huynh Phung Huynh, Rick Siow Mong Goh
2016	C	`conf`	Market fluctuation risk evaluation model for planning in manufacturing. ICARCV Xiaofeng Yin, Xiuju Fu, Loganathan Ponnambalam, Haiyan Xu, Rick Siow Mong Goh
2016	J	`jnl`	Multi-Modal Hybrid Deep Neural Network for Speech Enhancement. CoRR Zhenzhou Wu, Sunil Sivadas, Yong Kiam Tan, Bin Ma, Rick Siow Mong Goh
2016	—	`conf`	Performance and Monetary Cost of Large-Scale Distributed Graph Processing on Amazon Cloud. ICCCRI Zengxiang Li, Thai Nguyen Hung, Sifei Lu, Rick Siow Mong Goh
2016	J	`jnl`	Simple and Efficient Learning using Privileged Information. CoRR Xinxing Xu, Joey Tianyi Zhou, Ivor W. Tsang, Zheng Qin, Rick Siow Mong Goh, Yong Liu
2016	A*	`conf`	Transfer Hashing with Privileged Information. IJCAI Joey Tianyi Zhou, Xinxing Xu, Sinno Jialin Pan, Ivor W. Tsang, Zheng Qin, Rick Siow Mong Goh
2016	J	`jnl`	Transfer Hashing with Privileged Information. CoRR Joey Tianyi Zhou, Xinxing Xu, Sinno Jialin Pan, Ivor W. Tsang, Zheng Qin, Rick Siow Mong Goh
2016	J	`jnl`	Transparent three-phase Byzantine fault tolerance for parallel and distributed simulations. Simul. Model. Pract. Theory Zengxiang Li, Wentong Cai, Stephen John Turner, Zheng Qin, Rick Siow Mong Goh
2015	J	`jnl`	A Code Generation Framework for Targeting Optimized Library Calls for Multiple Platforms. IEEE Trans. Parallel Distributed Syst. Wen Jun Tan, Wai Teng Tang, Rick Siow Mong Goh, Stephen John Turner, Weng-Fai Wong
2015	J	`jnl`	A Family of Bit-Representation-Optimized Formats for Fast Sparse Matrix-Vector Multiplication on the GPU. IEEE Trans. Parallel Distributed Syst. Wai Teng Tang, Wen Jun Tan, Rick Siow Mong Goh, Stephen John Turner, Weng-Fai Wong
2015	—	`conf`	A model to evaluate risk propagation considering effect of dynamic risk information sharing and multi-sourcing in supply chain networks. IEEM Haiyan Xu, Xiuju Fu, Loganathan Ponnambalam, Akira Namatame, Xiaofeng Yin, Rick Siow Mong Goh
2015	J	`jnl`	Adaptive Resource Provisioning Mechanism in VEEs for Improving Performance of HLA-Based Simulations. ACM Trans. Model. Comput. Simul. Zengxiang Li, Wentong Cai, Stephen John Turner, Xiaorong Li, Ta Nguyen Binh Duong, Rick Siow Mong Goh
2015	J	`jnl`	Efficient GPU Spatial-Temporal Multitasking. IEEE Trans. Parallel Distributed Syst. Yun Liang, Huynh Phung Huynh, Kyle Rupnow, Rick Siow Mong Goh, Deming Chen
2015	C	`conf`	Integrated QoS-aware Resource Provisioning for Parallel and Distributed Applications. DS-RT Zengxiang Li, Long Wang, Yu Zhang, Tram Truong Huu, En Sheng Lim, Purnima Murali Mohan, Shibin Cheng, Shu Qin Ren, Mohan Gurusamy, Zheng Qin, Rick Siow Mong Goh
2015	J	`jnl`	MrPhi: An Optimized MapReduce Framework on Intel Xeon Phi Coprocessors. IEEE Trans. Parallel Distributed Syst. Mian Lu, Yun Liang, Huynh Phung Huynh, Zhongliang Ong, Bingsheng He, Rick Siow Mong Goh
2015	—	`conf`	Neural Modeling of Buying Behaviour for E-Commerce from Clicking Patterns. RecSys Challenge Zhenzhou Wu, Bao Hong Tan, Rubing Duan, Yong Liu, Rick Siow Mong Goh
2015	J	`jnl`	On centripetal flows of entities in scale-free networks with nodes of finite capability. Complex. Jesus F. B. Valenzuela, Christopher P. Monterola, Erika Fille T. Legara, Xiuju Fu, Rick Siow Mong Goh
2015	A	`conf`	Optimizing and auto-tuning scale-free sparse matrix-vector multiplication on Intel Xeon Phi. CGO Wai Teng Tang, Ruizhe Zhao, Mian Lu, Yun Liang, Huynh Phung Huyng, Xibai Li, Rick Siow Mong Goh
2015	—	`conf`	Risk Analysis and Quantification of Vulnerability in Maritime Transportation Network Using AIS Data. ICCL Kiyotaka Ide, Loganathan Ponnambalam, Akira Namatame, Xiuju Fu, Rick Siow Mong Goh
2014	C	`conf`	An Efficient Co-processing Framework for Large-Scale Scientific Applications. CloudCom Rubing Duan, Rick Siow Mong Goh, Lily Rachmawati, Long Wang, Henry Novianus Palit, Xiaorong Li, Chi Keong Goh, Partha Sarathi Dutta, Leigh Lapworth, David Knott
2014	B	`conf`	An intelligent analysis and prediction model for on-demand cloud computing systems. IJCNN Xiuju Fu, Xiaorong Li, Yongqing Zhu, Lipo Wang, Rick Siow Mong Goh
2014	C	`conf`	Hierarchical Parallelization and Runtime Scheduling for Pregel-Like Graph Processing Systems. CloudCom Zengxiang Li, Rubing Duan, Long Wang, Sifei Lu, Zheng Qin, Rick Siow Mong Goh
2014	J	`jnl`	Mapping Streaming Applications onto GPU Systems. IEEE Trans. Parallel Distributed Syst. Huynh Phung Huynh, Andrei Hagiescu, Zhong-Liang Ong, Weng-Fai Wong, Rick Siow Mong Goh
2014	J	`jnl`	Special Issue: Recent Advances in Parallel and Distributed Systems, ICPADS 2012 Selected Papers. Future Gener. Comput. Syst. Xueyan Tang, Wentong Cai, Rick Siow Mong Goh
2014	—	`conf`	Towards building and evaluating a personalized location-based recommender system. IEEE BigData Rubing Duan, Rick Siow Mong Goh, Feng Yang, Yong Kiam Tan, Jesus F. B. Valenzuela
2013	A	`conf`	Accelerating sparse matrix-vector multiplication on GPUs using bit-representation-optimized schemes. SC Wai Teng Tang, Wen Jun Tan, Rajarshi Ray, Yi Wen Wong, Weiguang Chen, Shyh-Hao Kuo, Rick Siow Mong Goh, Stephen John Turner, Weng-Fai Wong
2013	—	`conf`	Disclosing Climate Change Patterns Using an Adaptive Markov Chain Pattern Detection Method. SOCIETY Zhaoxia Wang, Gary Lee, Hoong-Maeng Chan, Reuben Mingguang Li, Xiuju Fu, Rick Siow Mong Goh, Pauline Aw, Martin Hibberd, Hoong Chor Chin
2013	—	`conf`	Hierarchical Parallel Algorithm for Modularity-Based Community Detection Using GPUs. Euro-Par Chun Yew Cheong, Huynh Phung Huynh, David Lo, Rick Siow Mong Goh
2013	A	`conf`	Optimizing and Auto-Tuning Iterative Stencil Loops for GPUs with the In-Plane Method. IPDPS Wai Teng Tang, Wen Jun Tan, Ratna Krishnamoorthy, Yi Wen Wong, Shyh-Hao Kuo, Rick Siow Mong Goh, Stephen John Turner, Weng-Fai Wong
2013	J	`jnl`	Optimizing the MapReduce Framework on Intel Xeon Phi Coprocessor. CoRR Mian Lu, Lei Zhang, Huynh Phung Huynh, Zhongliang Ong, Yun Liang, Bingsheng He, Rick Siow Mong Goh, Richard Huynh
2013	—	`conf`	Optimizing the MapReduce framework on Intel Xeon Phi coprocessor. IEEE BigData Mian Lu, Lei Zhang, Huynh Phung Huynh, Zhongliang Ong, Yun Liang, Bingsheng He, Rick Siow Mong Goh, Richard Huynh
2013	—	`conf`	RiskVis: Supply chain visualization with risk management and real-time monitoring. CASE Rick Siow Mong Goh, Zhaoxia Wang, Xiaofeng Yin, Xiuju Fu, Loganathan Ponnambalam, Sifei Lu, Xiaorong Li
2012	Misc	`conf`	A contact-network-based simulation model for evaluating interventions under "what-if" scenarios in epidemic. WSC Tianyou Zhang, Michael Lees, Chee Keong Kwoh, Xiuju Fu, Gary Kee Khoon Lee, Rick Siow Mong Goh
2012	—	`conf`	Abstract: Mapping Streaming Applications onto GPU Systems. SC Companion Huynh Phung Huynh, Andrei Hagiescu, Weng-Fai Wong, Rick Siow Mong Goh, Abhishek Ray
2012	B	`conf`	Automatic Refactoring of Legacy Fortran Code to the Array Slicing Notation. ICPADS Chandrasehar Rajaseharan, Wen Jun Tan, Wai Teng Tang, Stephen John Turner, Shyh-Hao Kuo, Rick Siow Mong Goh, Weng-Fai Wong
2012	B	`conf`	GPGPU for Real-Time Data Analytics. ICPADS Bingsheng He, Huynh Phung Huynh, Rick Siow Mong Goh
2012	—	`conf`	Poster: Automated Mapping Streaming Applications onto GPUs. SC Companion Huynh Phung Huynh, Andrei Hagiescu, Weng-Fai Wong, Rick Siow Mong Goh, Abhishek Ray
2012	C	`conf`	QoS-Aware Revenue-Cost Optimization for Latency-Sensitive Services in IaaS Clouds. DS-RT Ta Nguyen Binh Duong, Xiaorong Li, Rick Siow Mong Goh, Xueyan Tang, Wentong Cai
2012	B	`conf`	Scalable framework for mapping streaming applications onto multi-GPU systems. PPoPP Huynh Phung Huynh, Andrei Hagiescu, Weng-Fai Wong, Rick Siow Mong Goh
2012	—	`conf`	Tulipse: A Visualization Framework for User-Guided Parallelization. Euro-Par Yi Wen Wong, Tomasz Dubrownik, Wai Teng Tang, Wen Jun Tan, Rubing Duan, Rick Siow Mong Goh, Shyh-Hao Kuo, Stephen John Turner, Weng-Fai Wong
2012	B	`conf`	Visualization for Anomaly Detection and Data Management by Leveraging Network, Sensor and GIS Techniques. ICPADS Zhaoxia Wang, Chee Seng Chong, Rick Siow Mong Goh, Wanqing Zhou, Dan Peng, Hoong Chor Chin
2011	C	`conf`	A Framework for Dynamic Resource Provisioning and Adaptation in IaaS Clouds. CloudCom Ta Nguyen Binh Duong, Xiaorong Li, Rick Siow Mong Goh
2011	A	`conf`	Automated Architecture-Aware Mapping of Streaming Applications Onto GPUs. IPDPS Andrei Hagiescu, Huynh Phung Huynh, Weng-Fai Wong, Rick Siow Mong Goh
2010	Misc	`conf`	Component-based design for adaptive large-scale infectious disease simulation. ICCS Thorsten Matthias Riechers, Shyh-Hao Kuo, Rick Siow Mong Goh, Terence Hung
2010	B	`conf`	Multi-objective optimization of large scale berth allocation and quay crane assignment problems. SMC Chun Yew Cheong, Mohamed Salahuddin Habibullah, Rick Siow Mong Goh, Xiuju Fu
2010	—	`conf`	Performance modeling for runtime kernel adaptation: A case study on infectious disease simulation. GRID Jiangming Jin, Stephen John Turner, Bu-Sung Lee, Shyh-Hao Kuo, Rick Siow Mong Goh, Terence Hung
2009	—	`conf`	A Case Study of Speeding up Performance Tuning Process using Data Mining Approach. CSC Tuan Zea Tan, Rick Siow Mong Goh, Verdi March, Simon See
2009	B	`conf`	A GA-SVM Feature Selection Model Based on High Performance Computing Techniques. SMC Tianyou Zhang, Xiuju Fu, Rick Siow Mong Goh, Chee Keong Kwoh, Gary Kee Khoon Lee
2009	B	`conf`	A Tabu Search for the Heterogeneous DAG Scheduling Problem. ICPADS Yi Wen Wong, Rick Siow Mong Goh, Shyh-Hao Kuo, Malcolm Yoke Hean Low
2009	C	`conf`	Data mining analysis to validate performance tuning practices for HPL. CLUSTER Tuan Zea Tan, Rick Siow Mong Goh, Verdi March, Simon See
2005	J	`jnl`	Ladder queue: An ACM Trans. Model. Comput. Simul. Wai Teng Tang, Rick Siow Mong Goh, Ian Li-Jin Thng
2004	J	`jnl`	The Demarcate Construction: A New Form of Tree-based Priority Queues. Informatica (Slovenia) Rick Siow Mong Goh, Wai Teng Tang, Ian Li-Jin Thng, Marie Therese Robles Quieta
2004	J	`jnl`	Twol-amalgamated priority queues. ACM J. Exp. Algorithmics Rick Siow Mong Goh, Ian Li-Jin Thng