Rick Siow Mong Goh

According to our database, Rick Siow Mong Goh authored at least 162 papers between 2004 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Self-distillation with model averaging.

Xiaozhe Gu, Zixun Zhang, Ran Jin, Rick Siow Mong Goh, Tao Luo

Inf. Sci., 2025

2024

Optimizing for In-Memory Deep Learning With Emerging Memory Technology.

Zhehui Wang, Tao Luo, Rick Siow Mong Goh, Wei Zhang, Weng-Fai Wong

IEEE Trans. Neural Networks Learn. Syst., November, 2024

MedNAS: Multiscale Training-Free Neural Architecture Search for Medical Image Analysis.

Yan Wang, Liangli Zhen, Jianwei Zhang, Miqing Li, Lei Zhang, Zizhou Wang, Yangqin Feng, Yu Xue, Xiao Wang, Zheng Chen, Tao Luo, Rich Siow Mong Goh, Yong Liu

IEEE Trans. Evol. Comput., June, 2024

Geometric Correspondence-Based Multimodal Learning for Ophthalmic Image Analysis.

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

IEEE Trans. Medical Imaging, May, 2024

Efficient Spiking Neural Networks With Radix Encoding.

Zhehui Wang, Xiaozhe Gu, Rick Siow Mong Goh, Joey Tianyi Zhou, Tao Luo

IEEE Trans. Neural Networks Learn. Syst., March, 2024

RCT: Resource Constrained Training for Edge AI.

Tian Huang, Tao Luo, Ming Yan, Joey Tianyi Zhou, Rick Siow Mong Goh

IEEE Trans. Neural Networks Learn. Syst., February, 2024

EDCompress: Energy-Aware Model Compression for Dataflows.

Zhehui Wang, Tao Luo, Rick Siow Mong Goh, Joey Tianyi Zhou

IEEE Trans. Neural Networks Learn. Syst., January, 2024

MStableChain: Towards Multi-Native Stablecoins in EVM-Compatible Blockchain for Stable Fee and Mass Adoption.

Mingzhe Li, Bo Gao, Kentaroh Toyoda, Yechao Yang, Juniarto Samsudin, Haibin Zhang, Qingsong Wei, Yong Liu, Rich Siow Mong Goh

CoRR, 2024

BenchX: A Unified Benchmark Framework for Medical Vision-Language Pretraining on Chest X-Rays.

Yang Zhou, Tan Li Hui Faith, Yanyu Xu, Sicong Leng, Xinxing Xu, Yong Liu, Rick Siow Mong Goh

CoRR, 2024

Enabling Energy-Efficient Deployment of Large Language Models on Memristor Crossbar: A Synergy of Large and Small.

Zhehui Wang, Tao Luo, Cheng Liu, Weichen Liu, Rick Siow Mong Goh, Weng-Fai Wong

CoRR, 2024

From Generalist to Specialist: Adapting Vision Language Models via Task-Specific Visual Instruction Tuning.

Yang Bai, Yang Zhou, Jun Zhou, Rick Siow Mong Goh, Daniel Shu Wei Ting, Yong Liu

CoRR, 2024

BriDe Arbitrager: Enhancing Arbitrage in Ethereum 2.0 via Bribery-enabled Delayed Block Production.

Hulin Yang, Mingzhe Li, Jin Zhang, Alia Asheralieva, Qingsong Wei, Rich Siow Mong Goh

CoRR, 2024

CPT: Consistent Proxy Tuning for Black-box Optimization.

Yuanyang He, Zitong Huang, Xinxing Xu, Rick Siow Mong Goh, Salman Khan, Wangmeng Zuo, Yong Liu, Chun-Mei Feng

CoRR, 2024

Don't Forget What I did?: Assessing Client Contributions in Federated Learning.

Bishwamittra Ghosh, Debabrota Basu, Huazhu Fu, Yuan Wang, Renuga Kanagavelu, Jiang Jin Peng, Yong Liu, Rick Siow Mong Goh, Qingsong Wei

CoRR, 2024

Training-free image style alignment for self-adapting domain shift on handheld ultrasound devices.

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

CoRR, 2024

Learning Prompt with Distribution-Based Feature Replay for Few-Shot Class-Incremental Learning.

Zitong Huang, Ze Chen, Zhixing Chen, Erjin Zhou, Xinxing Xu, Rick Siow Mong Goh, Yong Liu, Chun-Mei Feng, Wangmeng Zuo

CoRR, 2024

How Interpretable are Reasoning Explanations from Prompting Large Language Models?

Wei Jie Yeo, Ranjan Satapathy, Rich Siow Mong Goh, Erik Cambria

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Class Balance Matters to Active Class-Incremental Learning.

Zitong Huang, Ze Chen, Yuanze Li, Bowen Dong, Erjin Zhou, Yong Liu, Rick Siow Mong Goh, Chun-Mei Feng, Wangmeng Zuo

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Partially Supervised Unpaired Multi-modal Learning for Label-Efficient Medical Image Segmentation.

Lei Zhu, Yanyu Xu, Huazhu Fu, Xinxing Xu, Rick Siow Mong Goh, Yong Liu

Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

MedMLP: An Efficient MLP-Like Network for Zero-Shot Retinal Image Classification.

Menghan Zhou, Yanyu Xu, Zhi Da Soh, Huazhu Fu, Rick Siow Mong Goh, Ching-Yu Cheng, Yong Liu, Liangli Zhen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

UrFound: Towards Universal Retinal Foundation Models via Knowledge-Guided Masked Modeling.

Kai Yu, Yang Zhou, Yang Bai, Zhi Da Soh, Xinxing Xu, Rick Siow Mong Goh, Ching-Yu Cheng, Yong Liu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

A New Perspective to Boost Performance Fairness For Medical Federated Learning.

Yunlu Yan, Lei Zhu, Yuexiang Li, Xinxing Xu, Rick Siow Mong Goh, Yong Liu, Salman H. Khan, Chun-Mei Feng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Multi-Scale Region-Aware Implicit Neural Network for Medical Images Matting.

Yanyu Xu, Yingzhi Xia, Huazhu Fu, Rick Siow Mong Goh, Yong Liu, Xinxing Xu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Enhancing Community Vision Screening: AI-Driven Retinal Photography for Early Disease Detection and Patient Trust.

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

Proceedings of the Ophthalmic Medical Image Analysis - 11th International Workshop, 2024

MedSynth: Leveraging Generative Model for Healthcare Data Sharing.

Renuga Kanagavelu, Madhav Walia, Yuan Wang, Huazhu Fu, Qingsong Wei, Yong Liu, Rick Siow Mong Goh

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Sentence-level Prompts Benefit Composed Image Retrieval.

Yang Bai, Xinxing Xu, Yong Liu, Salman Khan, Fahad Shahbaz Khan, Wangmeng Zuo, Rick Siow Mong Goh, Chun-Mei Feng

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Table-Lookup MAC: Scalable Processing of Quantised Neural Networks in FPGA Soft Logic.

Daniel Gerlinghoff, Benjamin Chen Ming Choong, Rick Siow Mong Goh, Weng-Fai Wong, Tao Luo

Proceedings of the 2024 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2024

An Aggregation-Free Federated Learning for Tackling Data Heterogeneity.

Yuan Wang, Huazhu Fu, Renuga Kanagavelu, Qingsong Wei, Yong Liu, Rick Siow Mong Goh

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Desire backpropagation: A lightweight training algorithm for multi-layer spiking neural networks based on spike-timing-dependent plasticity.

Daniel Gerlinghoff, Tao Luo, Rick Siow Mong Goh, Weng-Fai Wong

Neurocomputing, December, 2023

Simeuro: A Hybrid CPU-GPU Parallel Simulator for Neuromorphic Computing Chips.

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

IEEE Trans. Parallel Distributed Syst., October, 2023

DeepFire2: A Convolutional Spiking Neural Network Accelerator on FPGAs.

Myat Thu Linn Aung, Daniel Gerlinghoff, Chuping Qu, Liwei Yang, Tian Huang, Rick Siow Mong Goh, Tao Luo, Weng-Fai Wong

IEEE Trans. Computers, October, 2023

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 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

Nat. Mac. Intell., July, 2023

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, Weiyun Yau

Commun. ACM, July, 2023

Benchmarking Quantum(-Inspired) Annealing Hardware on Practical Use Cases.

Tian Huang, Jun Xu, Tao Luo, Xiaozhe Gu, Rick Siow Mong Goh, Weng-Fai Wong

IEEE Trans. Computers, June, 2023

When quantum annealing meets multitasking: Potentials, challenges and opportunities.

Tian Huang, Yongxin Zhu, Rick Siow Mong Goh, Tao Luo

Array, March, 2023

Contrastive domain adaptation with consistency match for automated pneumonia diagnosis.

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

Medical Image Anal., 2023

VQA4CIR: Boosting Composed Image Retrieval with Visual Question Answering.

Chun-Mei Feng, Yang Bai, Tao Luo, Zhen Li, Salman Khan, Wangmeng Zuo, Xinxing Xu, Rick Siow Mong Goh, Yong Liu

CoRR, 2023

Federated Pseudo Modality Generation for Incomplete Multi-Modal MRI Reconstruction.

Yunlu Yan, Chun-Mei Feng, Yuexiang Li, Rick Siow Mong Goh, Lei Zhu

CoRR, 2023

Rethinking Client Drift in Federated Learning: A Logit Perspective.

Yunlu Yan, Chun-Mei Feng, Mang Ye, Wangmeng Zuo, Ping Li, Rick Siow Mong Goh, Lei Zhu, C. L. Philip Chen

CoRR, 2023

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, Xinjian Chen, Daoqiang Zhang, Rick Siow Mong Goh, Yong Liu, Chi Pui Pang, Haoyu Chen, Huazhu Fu

CoRR, 2023

TrFedDis: Trusted Federated Disentangling Network for Non-IID Domain Feature.

Meng Wang, Kai Yu, Chun-Mei Feng, Yiming Qian, Ke Zou, Lianyu Wang, Rick Siow Mong Goh, Xinxing Xu, Yong Liu, Huazhu Fu

CoRR, 2023

EvidenceCap: Towards trustworthy medical image segmentation via evidential identity cap.

Ke Zou, Xuedong Yuan, Xiaojing Shen, Yidi Chen, Meng Wang, Rick Siow Mong Goh, Yong Liu, Huazhu Fu

CoRR, 2023

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Federated Uncertainty-Aware Aggregation for Fundus Diabetic Retinopathy Staging.

Meng Wang, Lianyu Wang, Xinxing Xu, Ke Zou, Yiming Qian, Rick Siow Mong Goh, Yong Liu, Huazhu Fu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Category-Independent Visual Explanation for Medical Deep Network Understanding.

Yiming Qian, Liangzhi Li, Huazhu Fu, Meng Wang, Qingsheng Peng, Yih Chung Tham, Ching Yu Cheng, Yong Liu, Rick Siow Mong Goh, Xinxing Xu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

MA-BERT: Towards Matrix Arithmetic-only BERT Inference by Eliminating Complex Non-Linear Functions.

Neo Wei Ming, Zhehui Wang, Cheng Liu, Rick Siow Mong Goh, Tao Luo

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

E3NE: An End-to-End Framework for Accelerating Spiking Neural Networks With Emerging Neural Encoding on FPGAs.

Daniel Gerlinghoff, Zhehui Wang, Xiaozhe Gu, Rick Siow Mong Goh, Tao Luo

IEEE Trans. Parallel Distributed Syst., 2022

Deep Multimodal Transfer Learning for Cross-Modal Retrieval.

Liangli Zhen, Peng Hu, Xi Peng, Rick Siow Mong Goh, Joey Tianyi Zhou

IEEE Trans. Neural Networks Learn. Syst., 2022

Big Data Driven Vessel Trajectory and Navigating State Prediction With Adaptive Learning, Motion Modeling and Particle Filtering Techniques.

Zhe Xiao, Xiuju Fu, Liye Zhang, Wanbing Zhang, Ryan Wen Liu, Zhao Liu, Rick Siow Mong Goh

IEEE Trans. Intell. Transp. Syst., 2022

NC-Net: Efficient Neuromorphic Computing Using Aggregated Subnets on a Crossbar-Based Architecture With Nonvolatile Memory.

Tao Luo, Liwei Yang, Huaipeng Zhang, Chuping Qu, Xuan Wang, Yingnan Cui, Weng-Fai Wong, Rick Siow Mong Goh

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Natural Language Video Localization: A Revisit in Span-Based Question Answering Framework.

Hao Zhang, Aixin Sun, Wei Jing, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Adversarial multimodal fusion with attention mechanism for skin lesion classification using clinical and dermoscopic images.

Yan Wang, Yangqin Feng, Lei Zhang, Joey Tianyi Zhou, Yong Liu, Rick Siow Mong Goh, Liangli Zhen

Medical Image Anal., 2022

Corrigendum to "Coreset: Hierarchical neuromorphic computing supporting large-scale neural networks with improved resource efficiency" [Neurocomputing (2022) 128-140].

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

Neurocomputing, 2022

Coreset: Hierarchical neuromorphic computing supporting large-scale neural networks with improved resource efficiency.

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

Neurocomputing, 2022

FedUKD: Federated UNet Model with Knowledge Distillation for Land Use Classification from Satellite and Street Views.

Renuga Kanagavelu, Kinshuk Dua, Pratik Garai, Susan Elias, Neha Thomas, Simon Elias, Qingsong Wei, Rick Siow Mong Goh, Yong Liu

CoRR, 2022

CE-Fed: Communication efficient multi-party computation enabled federated learning.

Renuga Kanagavelu, Qingsong Wei, Zengxiang Li, Haibin Zhang, Juniarto Samsudin, Yechao Yang, Rick Siow Mong Goh, Shangguang Wang

Array, 2022

Adversarial Semantic Hallucination for Domain Generalized Semantic Segmentation.

Gabriel Tjio, Ping Liu, Joey Tianyi Zhou, Rick Siow Mong Goh

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Facing Annotation Redundancy: OCT Layer Segmentation with only 10 Annotated Pixels per Layer.

Yanyu Xu, Xinxing Xu, Huazhu Fu, Meng Wang, Rick Siow Mong Goh, Yong Liu

Proceedings of the Resource-Efficient Medical Image Analysis - First MICCAI Workshop, 2022

Tiny-Lesion Segmentation in OCT via Multi-scale Wavelet Enhanced Transformer.

Meng Wang, Kai Yu, Xinxing Xu, Yi Zhou, Yuanyuan Peng, Yanyu Xu, Rick Siow Mong Goh, Yong Liu, Huazhu Fu

Proceedings of the Ophthalmic Medical Image Analysis - 9th International Workshop, 2022

Localizing Anatomical Landmarks in Ocular Images Using Zoom-In Attentive Networks.

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

Proceedings of the Ophthalmic Medical Image Analysis - 9th International Workshop, 2022

An Efficient Defending Mechanism Against Image Attacking on Medical Image Segmentation Models.

Linh D. Le, Huazhu Fu, Xinxing Xu, Yong Liu, Yanyu Xu, Jiawei Du, Joey Tianyi Zhou, Rick Siow Mong Goh

Proceedings of the Resource-Efficient Medical Image Analysis - First MICCAI Workshop, 2022

Efficient Sharpness-aware Minimization for Improved Training of Neural Networks.

Jiawei Du, Hanshu Yan, Jiashi Feng, Joey Tianyi Zhou, Liangli Zhen, Rick Siow Mong Goh, Vincent Y. F. Tan

Proceedings of the Tenth International Conference on Learning Representations, 2022

A Resource-efficient Spiking Neural Network Accelerator Supporting Emerging Neural Encoding.

Daniel Gerlinghoff, Zhehui Wang, Xiaozhe Gu, Rick Siow Mong Goh, Tao Luo

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

CRAFT: Cross-Attentional Flow Transformer for Robust Optical Flow.

Xiuchao Sui, Shaohua Li, Xue Geng, Yan Wu, Xinxing Xu, Yong Liu, Rick Siow Mong Goh, Hongyuan Zhu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Concurrent Processing Cluster Design to Empower Simultaneous Prediction for Hundreds of Vessels' Trajectories in Near Real-Time.

Zhe Xiao, Liye Zhang, Xiuju Fu, Wanbing Zhang, Joey Tianyi Zhou, Rick Siow Mong Goh

IEEE Trans. Syst. Man Cybern. Syst., 2021

Low Latency Big Data Processing without Prior Information.

Zhiming Hu, Baochun Li, Zheng Qin, Rick Siow Mong Goh

IEEE Trans. Cloud Comput., 2021

DTNN: Energy-efficient Inference with Dendrite Tree Inspired Neural Networks for Edge Vision Applications.

Tao Luo, Wai Teng Tang, Matthew Kay Fei Lee, Chuping Qu, Weng-Fai Wong, Rick Siow Mong Goh

CoRR, 2021

Evolutionary Multi-Objective Model Compression for Deep Neural Networks.

Zhehui Wang, Tao Luo, Miqing Li, Joey Tianyi Zhou, Rick Siow Mong Goh, Liangli Zhen

IEEE Comput. Intell. Mag., 2021

Video Corpus Moment Retrieval with Contrastive Learning.

Hao Zhang, Aixin Sun, Wei Jing, Guoshun Nan, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Partially-Supervised Learning for Vessel Segmentation in Ocular Images.

Yanyu Xu, Xinxing Xu, Lei Jin, Shenghua Gao, Rick Siow Mong Goh, Daniel Shu Wei Ting, Yong Liu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Few-Shot Domain Adaptation with Polymorphic Transformers.

Shaohua Li, Xiuchao Sui, Jie Fu, Huazhu Fu, Xiangde Luo, Yangqin Feng, Xinxing Xu, Yong Liu, Daniel Shu Wei Ting, Rick Siow Mong Goh

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Medical Image Segmentation using Squeeze-and-Expansion Transformers.

Shaohua Li, Xiuchao Sui, Xiangde Luo, Xinxing Xu, Yong Liu, Rick Siow Mong Goh

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

DeepFire: Acceleration of Convolutional Spiking Neural Network on Modern Field Programmable Gate Arrays.

Myat Thu Linn Aung, Chuping Qu, Liwei Yang, Tao Luo, Rick Siow Mong Goh, Weng-Fai Wong

Proceedings of the 31st International Conference on Field-Programmable Logic and Applications, 2021

Parallel Attention Network with Sequence Matching for Video Grounding.

Hao Zhang, Aixin Sun, Wei Jing, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Fast Recovery MapReduce (FAR-MR) to accelerate failure recovery in big data applications.

Yongqing Zhu, Juniarto Samsudin, Renuga Kanagavelu, Weiwen Zhang, Long Wang, Theint Theint Aye, Rick Siow Mong Goh

J. Supercomput., 2020

Traffic Pattern Mining and Forecasting Technologies in Maritime Traffic Service Networks: A Comprehensive Survey.

Zhe Xiao, Xiuju Fu, Liye Zhang, Rick Siow Mong Goh

IEEE Trans. Intell. Transp. Syst., 2020

Blockchain and IoT for Insurance: A Case Study and Cyberinfrastructure Solution on Fine-Grained Transportation Insurance.

Zhe Xiao, Zengxiang Li, Yechao Yang, Piao Chen, Ryan Wen Liu, Wei Jing, Yauheni Pyrloh, Ekanut Sotthiwat, Rick Siow Mong Goh

IEEE Trans. Comput. Soc. Syst., 2020

An FPGA-Based Hardware Emulator for Neuromorphic Chip With RRAM.

Tao Luo, Xuan Wang, Chuping Qu, Matthew Kay Fei Lee, Wai Teng Tang, Weng-Fai Wong, Rick Siow Mong Goh

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

Deep N-ary Error Correcting Output Codes.

Hao Zhang, Joey Tianyi Zhou, Tianying Wang, Ivor W. Tsang, Rick Siow Mong Goh

CoRR, 2020

EDCompress: Energy-Aware Model Compression with Dataflow.

Zhehui Wang, Tao Luo, Joey Tianyi Zhou, Rick Siow Mong Goh

CoRR, 2020

RAIN: Robust and Accurate Classification Networks with Randomization and Enhancement.

Jiawei Du, Hanshu Yan, Joey Tianyi Zhou, Rick Siow Mong Goh, Jiashi Feng

CoRR, 2020

Feature Lenses: Plug-and-play Neural Modules for Transformation-Invariant Visual Representations.

Shaohua Li, Xiuchao Sui, Jie Fu, Yong Liu, Rick Siow Mong Goh

CoRR, 2020

Privacy-preserving Weighted Federated Learning within Oracle-Aided MPC Framework.

Huafei Zhu, Zengxiang Li, Merivyn Cheah, Rick Siow Mong Goh

CoRR, 2020

Privacy-Preserving Weighted Federated Learning Within the Secret Sharing Framework.

Huafei Zhu, Rick Siow Mong Goh, Wee Keong Ng

IEEE Access, 2020

NCPower: Power Modelling for NVM-based Neuromorphic Chip.

Zhehui Wang, Huaipeng Zhang, Tao Luo, Weng-Fai Wong, Anh-Tuan Do, Paramasivam Vishnu, Wei Zhang, Rick Siow Mong Goh

Proceedings of the International Conference on Neuromorphic Systems, 2020

Two-Phase Multi-Party Computation Enabled Privacy-Preserving Federated Learning.

Renuga Kanagavelu, Zengxiang Li, Juniarto Samsudin, Yechao Yang, Feng Yang, Rick Siow Mong Goh, Mervyn Cheah, Praewpiraya Wiwatphonthana, Khajonpong Akkarajitsakul, Shangguang Wang

Proceedings of the 20th IEEE/ACM International Symposium on Cluster, 2020

2019

Learning With Annotation of Various Degrees.

Joey Tianyi Zhou, Meng Fang, Hao Zhang, Chen Gong, Xi Peng, Zhiguo Cao, Rick Siow Mong Goh

IEEE Trans. Neural Networks Learn. Syst., 2019

AnomalyNet: An Anomaly Detection Network for Video Surveillance.

Joey Tianyi Zhou, Jiawei Du, Hongyuan Zhu, Xi Peng, Yong Liu, Rick Siow Mong Goh

IEEE Trans. Inf. Forensics Secur., 2019

A System-Level Simulator for RRAM-Based Neuromorphic Computing Chips.

Matthew Kay Fei Lee, Yingnan Cui, Thannirmalai Somu, Tao Luo, Jun Zhou, Wai Teng Tang, Weng-Fai Wong, Rick Siow Mong Goh

ACM Trans. Archit. Code Optim., 2019

Multi-discriminator Generative Adversarial Networks for Improved Thin Retinal Vessel Segmentation.

Gabriel Tjio, Shaohua Li, Xinxing Xu, Daniel Shu Wei Ting, Yong Liu, Rick Siow Mong Goh

Proceedings of the Ophthalmic Medical Image Analysis - 6th International Workshop, 2019

Multi-Instance Multi-Scale CNN for Medical Image Classification.

Shaohua Li, Yong Liu, Xiuchao Sui, Cheng Chen, Gabriel Tjio, Daniel Shu Wei Ting, Rick Siow Mong Goh

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Optimization and Simulation on Tanker Vessels Scheduling for Efficient Terminal Operations.

Deqing Zhai, Xiuju Fu, Haiyan Xu, Xiaofeng Yin, Jayaraman Vasundhara, Wanbing Zhang, Rick Siow Mong Goh

Proceedings of the 2019 IEEE International Conference on Industrial Engineering and Engineering Management, 2019

Efficient Compression and Preprocessing for Facilitating Large Scale Spatiotemporal Data Mining - A Case Study based on Automatic Identification System Data.

Haiyan Xu, Vasundhara Jayaraman, Xiuju Fu, Nasri Bin Othman, Wanbing Zhang, Xiaofeng Yin, Deqing Zhai, Rick Siow Mong Goh

Proceedings of the 2019 IEEE International Conference on Industrial Engineering and Engineering Management, 2019

Efficient Multi-party Computation Algorithm Design for Real-World Applications.

Zengxiang Li, Chutima Kitcharoenpaisan, Phond Phunchongharn, Yechao Yang, Rick Siow Mong Goh, Yusen Li

Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019

Dual Adversarial Neural Transfer for Low-Resource Named Entity Recognition.

Joey Tianyi Zhou, Hao Zhang, Di Jin, Hongyuan Zhu, Meng Fang, Rick Siow Mong Goh, Kenneth Kwok

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Transfer Hashing: From Shallow to Deep.

Joey Tianyi Zhou, Heng Zhao, Xi Peng, Meng Fang, Zheng Qin, Rick Siow Mong Goh

IEEE Trans. Neural Networks Learn. Syst., 2018

QLDS: A Novel Design Scheme for Trajectory Privacy Protection with Utility Guarantee in Participatory Sensing.

Zhe Xiao, Jingjing Yang, Ming Huang, Loganathan Ponnambalam, Xiuju Fu, Rick Siow Mong Goh

IEEE Trans. Mob. Comput., 2018

Data Privacy-Preserving Automation Architecture for Industrial Data Exchange in Smart Cities.

Zhe Xiao, Xiuju Fu, Rick Siow Mong Goh

IEEE Trans. Ind. Informatics, 2018

Exploiting Sparsity to Accelerate Fully Connected Layers of CNN-Based Applications on Mobile SoCs.

Xinfeng Xie, Dayou Du, Qian Li, Yun Liang, Wai Teng Tang, Zhongliang Ong, Mian Lu, Huynh Phung Huynh, Rick Siow Mong Goh

ACM Trans. Embed. Comput. Syst., 2018

A Network-Based Impact Measure for Propagated Losses in a Supply Chain Network Consisting of Resilient Components.

Jesus Felix Bayta Valenzuela, Xiuju Fu, Gaoxi Xiao, Rick Siow Mong Goh

Complex., 2018

Cost-Efficient and Latency-Aware Workflow Scheduling Policy for Container-Based Systems.

Weiwen Zhang, Yong Liu, Long Wang, Zengxiang Li, Rick Siow Mong Goh

Proceedings of the 24th IEEE International Conference on Parallel and Distributed Systems, 2018

Building an Ethereum and IPFS-Based Decentralized Social Network System.

Quanqing Xu, Zhiwen Song, Rick Siow Mong Goh, Yongjun Li

Proceedings of the 24th IEEE International Conference on Parallel and Distributed Systems, 2018

EMRShare: A Cross-Organizational Medical Data Sharing and Management Framework Using Permissioned Blockchain.

Zhe Xiao, Zengxiang Li, Yong Liu, Ling Feng, Weiwen Zhang, Thanarit Lertwuthikarn, Rick Siow Mong Goh

Proceedings of the 24th IEEE International Conference on Parallel and Distributed Systems, 2018

Optimal Fee Structure for Efficient Lightning Networks.

Alvin Heng Jun Ren, Ling Feng, Siew Ann Cheong, Rick Siow Mong Goh

Proceedings of the 24th IEEE International Conference on Parallel and Distributed Systems, 2018

Blockchain and IoT Data Analytics for Fine-Grained Transportation Insurance.

Zengxiang Li, Zhe Xiao, Quanqing Xu, Ekanut Sotthiwat, Rick Siow Mong Goh, Xueping Liang

Proceedings of the 24th IEEE International Conference on Parallel and Distributed Systems, 2018

Concurrent Hybrid Breadth-First-Search on Distributed PowerGraph for Skewed Graphs.

Zengxiang Li, Shen Ren, Sifei Lu, Jiachun Guo, Wentong Cai, Qin Zheng, Rick Siow Mong Goh

Proceedings of the 24th IEEE International Conference on Parallel and Distributed Systems, 2018

SC2Net: Sparse LSTMs for Sparse Coding.

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

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Scale-Free Sparse Matrix-Vector Multiplication on Many-Core Architectures.

Yun Liang, Wai Teng Tang, Ruizhe Zhao, Mian Lu, Huynh Phung Huynh, Rick Siow Mong Goh

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2017

Data-driven multi-agent system for maritime traffic safety management.

Zhe Xiao, Xiuju Fu, Liye Zhang, Loganathan Ponnambalam, Rick Siow Mong Goh

Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

Job Scheduling without Prior Information in Big Data Processing Systems.

Zhiming Hu, Baochun Li, Zheng Qin, Rick Siow Mong Goh

Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

Performance Modelling and Cost Effective Execution for Distributed Graph Processing on Configurable VMs.

Zengxiang Li, Bowen Zhang, Shen Ren, Yong Liu, Zheng Qin, Rick Siow Mong Goh, Mohan Gurusamy

Proceedings of the 17th IEEE/ACM International Symposium on Cluster, 2017

2016

Transparent three-phase Byzantine fault tolerance for parallel and distributed simulations.

Zengxiang Li, Wentong Cai, Stephen John Turner, Zheng Qin, Rick Siow Mong Goh

Simul. Model. Pract. Theory, 2016

Simple and Efficient Learning using Privileged Information.

Xinxing Xu, Joey Tianyi Zhou, Ivor W. Tsang, Zheng Qin, Rick Siow Mong Goh, Yong Liu

CoRR, 2016

Multi-Modal Hybrid Deep Neural Network for Speech Enhancement.

Zhenzhou Wu, Sunil Sivadas, Yong Kiam Tan, Bin Ma, Rick Siow Mong Goh

CoRR, 2016

Efficient Query Processing on Many-core Architectures: A Case Study with Intel Xeon Phi Processor.

Xuntao Cheng, Bingsheng He, Mian Lu, Chiew Tong Lau, Huynh Phung Huynh, Rick Siow Mong Goh

Proceedings of the 2016 International Conference on Management of Data, 2016

Transfer Hashing with Privileged Information.

Joey Tianyi Zhou, Xinxing Xu, Sinno Jialin Pan, Ivor W. Tsang, Zheng Qin, Rick Siow Mong Goh

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Performance and Monetary Cost of Large-Scale Distributed Graph Processing on Amazon Cloud.

Zengxiang Li, Thai Nguyen Hung, Sifei Lu, Rick Siow Mong Goh

Proceedings of the International Conference on Cloud Computing Research and Innovations, 2016

Market fluctuation risk evaluation model for planning in manufacturing.

Xiaofeng Yin, Xiuju Fu, Loganathan Ponnambalam, Haiyan Xu, Rick Siow Mong Goh

Proceedings of the 14th International Conference on Control, 2016

2015

A Family of Bit-Representation-Optimized Formats for Fast Sparse Matrix-Vector Multiplication on the GPU.

Wai Teng Tang, Wen Jun Tan, Rick Siow Mong Goh, Stephen John Turner, Weng-Fai Wong

IEEE Trans. Parallel Distributed Syst., 2015

A Code Generation Framework for Targeting Optimized Library Calls for Multiple Platforms.

Wen Jun Tan, Wai Teng Tang, Rick Siow Mong Goh, Stephen John Turner, Weng-Fai Wong

IEEE Trans. Parallel Distributed Syst., 2015

MrPhi: An Optimized MapReduce Framework on Intel Xeon Phi Coprocessors.

Mian Lu, Yun Liang, Huynh Phung Huynh, Zhongliang Ong, Bingsheng He, Rick Siow Mong Goh

IEEE Trans. Parallel Distributed Syst., 2015

Efficient GPU Spatial-Temporal Multitasking.

Yun Liang, Huynh Phung Huynh, Kyle Rupnow, Rick Siow Mong Goh, Deming Chen

IEEE Trans. Parallel Distributed Syst., 2015

Adaptive Resource Provisioning Mechanism in VEEs for Improving Performance of HLA-Based Simulations.

Zengxiang Li, Wentong Cai, Stephen John Turner, Xiaorong Li, Ta Nguyen Binh Duong, Rick Siow Mong Goh

ACM Trans. Model. Comput. Simul., 2015

On centripetal flows of entities in scale-free networks with nodes of finite capability.

Jesus F. B. Valenzuela, Christopher P. Monterola, Erika Fille T. Legara, Xiuju Fu, Rick Siow Mong Goh

Complex., 2015

Neural Modeling of Buying Behaviour for E-Commerce from Clicking Patterns.

Zhenzhou Wu, Bao Hong Tan, Rubing Duan, Yong Liu, Rick Siow Mong Goh

Proceedings of the 2015 International ACM Recommender Systems Challenge, 2015

A model to evaluate risk propagation considering effect of dynamic risk information sharing and multi-sourcing in supply chain networks.

Haiyan Xu, Xiuju Fu, Loganathan Ponnambalam, Akira Namatame, Xiaofeng Yin, Rick Siow Mong Goh

Proceedings of the 2015 IEEE International Conference on Industrial Engineering and Engineering Management, 2015

Risk Analysis and Quantification of Vulnerability in Maritime Transportation Network Using AIS Data.

Kiyotaka Ide, Loganathan Ponnambalam, Akira Namatame, Xiuju Fu, Rick Siow Mong Goh

Proceedings of the Computational Logistics - 6th International Conference, 2015

Integrated QoS-aware Resource Provisioning for Parallel and Distributed Applications.

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

Proceedings of the 19th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, 2015

Optimizing and auto-tuning scale-free sparse matrix-vector multiplication on Intel Xeon Phi.

Wai Teng Tang, Ruizhe Zhao, Mian Lu, Yun Liang, Huynh Phung Huyng, Xibai Li, Rick Siow Mong Goh

Proceedings of the 13th Annual IEEE/ACM International Symposium on Code Generation and Optimization, 2015

2014

Mapping Streaming Applications onto GPU Systems.

Huynh Phung Huynh, Andrei Hagiescu, Zhong-Liang Ong, Weng-Fai Wong, Rick Siow Mong Goh

IEEE Trans. Parallel Distributed Syst., 2014

Special Issue: Recent Advances in Parallel and Distributed Systems, ICPADS 2012 Selected Papers.

Xueyan Tang, Wentong Cai, Rick Siow Mong Goh

Future Gener. Comput. Syst., 2014

An intelligent analysis and prediction model for on-demand cloud computing systems.

Xiuju Fu, Xiaorong Li, Yongqing Zhu, Lipo Wang, Rick Siow Mong Goh

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Hierarchical Parallelization and Runtime Scheduling for Pregel-Like Graph Processing Systems.

Zengxiang Li, Rubing Duan, Long Wang, Sifei Lu, Zheng Qin, Rick Siow Mong Goh

Proceedings of the IEEE 6th International Conference on Cloud Computing Technology and Science, 2014

An Efficient Co-processing Framework for Large-Scale Scientific Applications.

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

Proceedings of the IEEE 6th International Conference on Cloud Computing Technology and Science, 2014

Towards building and evaluating a personalized location-based recommender system.

Rubing Duan, Rick Siow Mong Goh, Feng Yang, Yong Kiam Tan, Jesus F. B. Valenzuela

Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

2013

Disclosing Climate Change Patterns Using an Adaptive Markov Chain Pattern Detection Method.

Zhaoxia Wang, Gary Lee, Hoong-Maeng Chan, Reuben Mingguang Li, Xiuju Fu, Rick Siow Mong Goh, Pauline Aw, Martin Hibberd, Hoong Chor Chin

Proceedings of the 2013 International Conference on Social Intelligence and Technology, 2013

Accelerating sparse matrix-vector multiplication on GPUs using bit-representation-optimized schemes.

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

Proceedings of the International Conference for High Performance Computing, 2013

Optimizing and Auto-Tuning Iterative Stencil Loops for GPUs with the In-Plane Method.

Wai Teng Tang, Wen Jun Tan, Ratna Krishnamoorthy, Yi Wen Wong, Shyh-Hao Kuo, Rick Siow Mong Goh, Stephen John Turner, Weng-Fai Wong

Proceedings of the 27th IEEE International Symposium on Parallel and Distributed Processing, 2013

Hierarchical Parallel Algorithm for Modularity-Based Community Detection Using GPUs.

Chun Yew Cheong, Huynh Phung Huynh, David Lo, Rick Siow Mong Goh

Proceedings of the Euro-Par 2013 Parallel Processing, 2013

RiskVis: Supply chain visualization with risk management and real-time monitoring.

Rick Siow Mong Goh, Zhaoxia Wang, Xiaofeng Yin, Xiuju Fu, Loganathan Ponnambalam, Sifei Lu, Xiaorong Li

Proceedings of the 2013 IEEE International Conference on Automation Science and Engineering, 2013

Optimizing the MapReduce framework on Intel Xeon Phi coprocessor.

Mian Lu, Lei Zhang, Huynh Phung Huynh, Zhongliang Ong, Yun Liang, Bingsheng He, Rick Siow Mong Goh, Richard Huynh

Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

2012

A contact-network-based simulation model for evaluating interventions under "what-if" scenarios in epidemic.

Tianyou Zhang, Michael Lees, Chee Keong Kwoh, Xiuju Fu, Gary Kee Khoon Lee, Rick Siow Mong Goh

Proceedings of the Winter Simulation Conference, 2012

Poster: Automated Mapping Streaming Applications onto GPUs.

Huynh Phung Huynh, Andrei Hagiescu, Weng-Fai Wong, Rick Siow Mong Goh, Abhishek Ray

Proceedings of the 2012 SC Companion: High Performance Computing, 2012

Abstract: Mapping Streaming Applications onto GPU Systems.

Huynh Phung Huynh, Andrei Hagiescu, Weng-Fai Wong, Rick Siow Mong Goh, Abhishek Ray

Proceedings of the 2012 SC Companion: High Performance Computing, 2012

Scalable framework for mapping streaming applications onto multi-GPU systems.

Huynh Phung Huynh, Andrei Hagiescu, Weng-Fai Wong, Rick Siow Mong Goh

Proceedings of the 17th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2012

Visualization for Anomaly Detection and Data Management by Leveraging Network, Sensor and GIS Techniques.

Zhaoxia Wang, Chee Seng Chong, Rick Siow Mong Goh, Wanqing Zhou, Dan Peng, Hoong Chor Chin

Proceedings of the 18th IEEE International Conference on Parallel and Distributed Systems, 2012

Automatic Refactoring of Legacy Fortran Code to the Array Slicing Notation.

Chandrasehar Rajaseharan, Wen Jun Tan, Wai Teng Tang, Stephen John Turner, Shyh-Hao Kuo, Rick Siow Mong Goh, Weng-Fai Wong

Proceedings of the 18th IEEE International Conference on Parallel and Distributed Systems, 2012

GPGPU for Real-Time Data Analytics.

Bingsheng He, Huynh Phung Huynh, Rick Siow Mong Goh

Proceedings of the 18th IEEE International Conference on Parallel and Distributed Systems, 2012

Tulipse: A Visualization Framework for User-Guided Parallelization.

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

Proceedings of the Euro-Par 2012 Parallel Processing - 18th International Conference, 2012

QoS-Aware Revenue-Cost Optimization for Latency-Sensitive Services in IaaS Clouds.

Ta Nguyen Binh Duong, Xiaorong Li, Rick Siow Mong Goh, Xueyan Tang, Wentong Cai

Proceedings of the 16th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, 2012

2011

Automated Architecture-Aware Mapping of Streaming Applications Onto GPUs.

Andrei Hagiescu, Huynh Phung Huynh, Weng-Fai Wong, Rick Siow Mong Goh

Proceedings of the 25th IEEE International Symposium on Parallel and Distributed Processing, 2011

A Framework for Dynamic Resource Provisioning and Adaptation in IaaS Clouds.

Ta Nguyen Binh Duong, Xiaorong Li, Rick Siow Mong Goh

Proceedings of the IEEE 3rd International Conference on Cloud Computing Technology and Science, 2011

2010

Component-based design for adaptive large-scale infectious disease simulation.

Thorsten Matthias Riechers, Shyh-Hao Kuo, Rick Siow Mong Goh, Terence Hung

Proceedings of the International Conference on Computational Science, 2010

Multi-objective optimization of large scale berth allocation and quay crane assignment problems.

Chun Yew Cheong, Mohamed Salahuddin Habibullah, Rick Siow Mong Goh, Xiuju Fu

Proceedings of the IEEE International Conference on Systems, 2010

Performance modeling for runtime kernel adaptation: A case study on infectious disease simulation.

Jiangming Jin, Stephen John Turner, Bu-Sung Lee, Shyh-Hao Kuo, Rick Siow Mong Goh, Terence Hung

Proceedings of the 2010 11th IEEE/ACM International Conference on Grid Computing, 2010

2009

A GA-SVM Feature Selection Model Based on High Performance Computing Techniques.

Tianyou Zhang, Xiuju Fu, Rick Siow Mong Goh, Chee Keong Kwoh, Gary Kee Khoon Lee

Proceedings of the IEEE International Conference on Systems, 2009

A Tabu Search for the Heterogeneous DAG Scheduling Problem.

Yi Wen Wong, Rick Siow Mong Goh, Shyh-Hao Kuo, Malcolm Yoke Hean Low

Proceedings of the 15th IEEE International Conference on Parallel and Distributed Systems, 2009

A Case Study of Speeding up Performance Tuning Process using Data Mining Approach.

Tuan Zea Tan, Rick Siow Mong Goh, Verdi March, Simon See

Proceedings of the 2009 International Conference on Scientific Computing, 2009

Data mining analysis to validate performance tuning practices for HPL.

Tuan Zea Tan, Rick Siow Mong Goh, Verdi March, Simon See

Proceedings of the 2009 IEEE International Conference on Cluster Computing, August 31, 2009

2005

Ladder queue: An <i>O</i>(1) priority queue structure for large-scale discrete event simulation.

Wai Teng Tang, Rick Siow Mong Goh, Ian Li-Jin Thng

ACM Trans. Model. Comput. Simul., 2005

2004

Twol-amalgamated priority queues.

Rick Siow Mong Goh, Ian Li-Jin Thng

ACM J. Exp. Algorithmics, 2004

The Demarcate Construction: A New Form of Tree-based Priority Queues.

Rick Siow Mong Goh, Wai Teng Tang, Ian Li-Jin Thng, Marie Therese Robles Quieta

Informatica (Slovenia), 2004