Rick Siow Mong Goh

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 126

Top Venues

CoRR

ICPADS

IEEE Trans. Parallel Distributed Syst.

IEEE Trans. Neural Networks Learn. Syst.

Publications

Zhehui Wang, Tao Luo, Rick Siow Mong Goh, Joey Tianyi Zhou
EDCompress: Energy-Aware Model Compression for Dataflows. IEEE Trans. Neural Networks Learn. Syst. 35 (1) (2024)
Zhehui Wang, Xiaozhe Gu, Rick Siow Mong Goh, Joey Tianyi Zhou, Tao Luo
Efficient Spiking Neural Networks With Radix Encoding. IEEE Trans. Neural Networks Learn. Syst. 35 (3) (2024)
Yuan Wang, Huazhu Fu, Renuga Kanagavelu, Qingsong Wei, Yong Liu, Rick Siow Mong Goh
An Aggregation-Free Federated Learning for Tackling Data Heterogeneity. CoRR (2024)
Zitong Huang, Ze Chen, Zhixing Chen, Erjin Zhou, Xinxing Xu, Rick Siow Mong Goh, Yong Liu, Chun-Mei Feng, Wangmeng Zuo
Learning Prompt with Distribution-Based Feature Replay for Few-Shot Class-Incremental Learning. CoRR (2024)
Wei Jie Yeo, Ranjan Satapathy, Rick Siow Mong Goh, Erik Cambria
How Interpretable are Reasoning Explanations from Prompting Large Language Models? CoRR (2024)
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
Geometric Correspondence-Based Multimodal Learning for Ophthalmic Image Analysis. IEEE Trans. Medical Imaging 43 (5) (2024)
Daniel Gerlinghoff, Benjamin Chen Ming Choong, Rick Siow Mong Goh, Weng-Fai Wong, Tao Luo
Table-Lookup MAC: Scalable Processing of Quantised Neural Networks in FPGA Soft Logic. CoRR (2024)
Yuanyang He, Zitong Huang, Xinxing Xu, Rick Siow Mong Goh, Salman Khan, Wangmeng Zuo, Yong Liu, Chun-Mei Feng
CPT: Consistent Proxy Tuning for Black-box Optimization. CoRR (2024)
Tian Huang, Tao Luo, Ming Yan, Joey Tianyi Zhou, Rick Siow Mong Goh
RCT: Resource Constrained Training for Edge AI. IEEE Trans. Neural Networks Learn. Syst. 35 (2) (2024)
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
Training-free image style alignment for self-adapting domain shift on handheld ultrasound devices. CoRR (2024)
Yang Bai, Xinxing Xu, Yong Liu, Salman Khan, Fahad Shahbaz Khan, Wangmeng Zuo, Rick Siow Mong Goh, Chun-Mei Feng
Sentence-level Prompts Benefit Composed Image Retrieval. ICLR (2024)
Bishwamittra Ghosh, Debabrota Basu, Huazhu Fu, Yuan Wang, Renuga Kanagavelu, Jiang Jin Peng, Yong Liu, Rick Siow Mong Goh, Qingsong Wei
Don't Forget What I did?: Assessing Client Contributions in Federated Learning. CoRR (2024)
Daniel Gerlinghoff, Benjamin Chen Ming Choong, Rick Siow Mong Goh, Weng-Fai Wong, Tao Luo
Table-Lookup MAC: Scalable Processing of Quantised Neural Networks in FPGA Soft Logic. FPGA (2024)
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
Contrastive domain adaptation with consistency match for automated pneumonia diagnosis. Medical Image Anal. 83 (2023)
Tian Huang, Yongxin Zhu, Rick Siow Mong Goh, Tao Luo
When quantum annealing meets multitasking: Potentials, challenges and opportunities. Array 17 (2023)
Yiming Qian, Liangzhi Li, Huazhu Fu, Meng Wang, Qingsheng Peng, Yih Chung Tham, Ching Yu Cheng, Yong Liu, Rick Siow Mong Goh, Xinxing Xu
Category-Independent Visual Explanation for Medical Deep Network Understanding. MICCAI (2) (2023)
Yunlu Yan, Chun-Mei Feng, Mang Ye, Wangmeng Zuo, Ping Li, Rick Siow Mong Goh, Lei Zhu, C. L. Philip Chen
Rethinking Client Drift in Federated Learning: A Logit Perspective. CoRR (2023)
Myat Thu Linn Aung, Daniel Gerlinghoff, Chuping Qu, Liwei Yang, Tian Huang, Rick Siow Mong Goh, Tao Luo, Weng-Fai Wong
DeepFire2: A Convolutional Spiking Neural Network Accelerator on FPGAs. CoRR (2023)
Yanyu Xu, Menghan Zhou, Yangqin Feng, Xinxing Xu, Huazhu Fu, Rick Siow Mong Goh, Yong Liu
Minimal-Supervised Medical Image Segmentation via Vector Quantization Memory. MICCAI (3) (2023)
Tian Huang, Jun Xu, Tao Luo, Xiaozhe Gu, Rick Siow Mong Goh, Weng-Fai Wong
Benchmarking Quantum(-Inspired) Annealing Hardware on Practical Use Cases. IEEE Trans. Computers 72 (6) (2023)
Chun-Mei Feng, Yang Bai, Tao Luo, Zhen Li, Salman Khan, Wangmeng Zuo, Xinxing Xu, Rick Siow Mong Goh, Yong Liu
VQA4CIR: Boosting Composed Image Retrieval with Visual Question Answering. CoRR (2023)
Meng Wang, Lianyu Wang, Xinxing Xu, Ke Zou, Yiming Qian, Rick Siow Mong Goh, Yong Liu, Huazhu Fu
Federated Uncertainty-Aware Aggregation for Fundus Diabetic Retinopathy Staging. CoRR (2023)
Neo Wei Ming, Zhehui Wang, Cheng Liu, Rick Siow Mong Goh, Tao Luo
MA-BERT: Towards Matrix Arithmetic-only BERT Inference by Eliminating Complex Non-Linear Functions. ICLR (2023)
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
Uncertainty-inspired Open Set Learning for Retinal Anomaly Identification. CoRR (2023)
Meng Wang, Lianyu Wang, Xinxing Xu, Ke Zou, Yiming Qian, Rick Siow Mong Goh, Yong Liu, Huazhu Fu
Federated Uncertainty-Aware Aggregation for Fundus Diabetic Retinopathy Staging. MICCAI (2) (2023)
Tao Luo, Weng-Fai Wong, Rick Siow Mong Goh, Anh Tuan Do, Zhixian Chen, Haizhou Li, Wenyu Jiang, Weiyun Yau
Achieving Green AI with Energy-Efficient Deep Learning Using Neuromorphic Computing. Commun. ACM 66 (7) (2023)
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 Eddy, Abubakar Abid, Lewis Tunstall, Omar Sanseviero, Dimitrios Dimitriadis, Yiming Qian, Xinxing Xu, Yong Liu, Rick Siow Mong Goh, Srini Bala, Victor Bittorf, Sreekar Reddy Puchala, Biagio Ricciuti, Soujanya Samineni, Eshna Sengupta, Akshay Chaudhari, Cody Coleman, Bala Desinghu, Gregory Diamos, Debo Dutta, Diane Feddema, Grigori Fursin, Xinyuan Huang, Satyananda Kashyap, Nicholas Lane, Indranil Mallick, Pietro Mascagni, Virendra Mehta, Cassiano Ferro Moraes, Vivek Natarajan, Nikola Nikolov, Nicolas Padoy, Gennady Pekhimenko, Vijay Janapa Reddi, G. Anthony Reina, Pablo Ribalta, Abhishek Singh, Jayaraman J. Thiagarajan, Jacob Albrecht, Thomas Wolf, Geralyn Miller, Huazhu Fu, Prashant Shah, Daguang Xu, Poonam Yadav, David Talby, Mark M. Awad, Jeremy P. Howard, Michael Rosenthal, Luigi Marchionni, Massimo Loda, Jason M. Johnson, Spyridon Bakas, Peter Mattson
Federated benchmarking of medical artificial intelligence with MedPerf. Nat. Mac. Intell. 5 (7) (2023)
Yunlu Yan, Chun-Mei Feng, Yuexiang Li, Rick Siow Mong Goh, Lei Zhu
Federated Pseudo Modality Generation for Incomplete Multi-Modal MRI Reconstruction. CoRR (2023)
Meng Wang, Kai Yu, Chun-Mei Feng, Yiming Qian, Ke Zou, Lianyu Wang, Rick Siow Mong Goh, Xinxing Xu, Yong Liu, Huazhu Fu
TrFedDis: Trusted Federated Disentangling Network for Non-IID Domain Feature. CoRR (2023)
Daniel Gerlinghoff, Tao Luo, Rick Siow Mong Goh, Weng-Fai Wong
Desire backpropagation: A lightweight training algorithm for multi-layer spiking neural networks based on spike-timing-dependent plasticity. Neurocomputing 560 (2023)
Yang Bai, Xinxing Xu, Yong Liu, Salman Khan, Fahad Khan, Wangmeng Zuo, Rick Siow Mong Goh, Chun-Mei Feng
Sentence-level Prompts Benefit Composed Image Retrieval. CoRR (2023)
Ke Zou, Xuedong Yuan, Xiaojing Shen, Yidi Chen, Meng Wang, Rick Siow Mong Goh, Yong Liu, Huazhu Fu
EvidenceCap: Towards trustworthy medical image segmentation via evidential identity cap. CoRR (2023)
Myat Thu Linn Aung, Daniel Gerlinghoff, Chuping Qu, Liwei Yang, Tian Huang, Rick Siow Mong Goh, Tao Luo, Weng-Fai Wong
DeepFire2: A Convolutional Spiking Neural Network Accelerator on FPGAs. IEEE Trans. Computers 72 (10) (2023)
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
Simeuro: A Hybrid CPU-GPU Parallel Simulator for Neuromorphic Computing Chips. IEEE Trans. Parallel Distributed Syst. 34 (10) (2023)
Xiuchao Sui, Shaohua Li, Xue Geng, Yan Wu, Xinxing Xu, Yong Liu, Rick Siow Mong Goh, Hongyuan Zhu
CRAFT: Cross-Attentional Flow Transformer for Robust Optical Flow. CoRR (2022)
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
Localizing Anatomical Landmarks in Ocular Images Using Zoom-In Attentive Networks. OMIA@MICCAI (2022)
Meng Wang, Kai Yu, Chun-Mei Feng, Ke Zou, Yanyu Xu, Qingquan Meng, Rick Siow Mong Goh, Yong Liu, Xinxing Xu, Huazhu Fu
Reliable Joint Segmentation of Retinal Edema Lesions in OCT Images. CoRR (2022)
Tao Luo, Liwei Yang, Huaipeng Zhang, Chuping Qu, Xuan Wang, Yingnan Cui, Weng-Fai Wong, Rick Siow Mong Goh
NC-Net: Efficient Neuromorphic Computing Using Aggregated Subnets on a Crossbar-Based Architecture With Nonvolatile Memory. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (9) (2022)
Daniel Gerlinghoff, Zhehui Wang, Xiaozhe Gu, Rick Siow Mong Goh, Tao Luo
E3NE: An End-to-End Framework for Accelerating Spiking Neural Networks With Emerging Neural Encoding on FPGAs. IEEE Trans. Parallel Distributed Syst. 33 (11) (2022)
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
Corrigendum to "Coreset: Hierarchical neuromorphic computing supporting large-scale neural networks with improved resource efficiency" [Neurocomputing (2022) 128-140]. Neurocomputing 508 (2022)
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
Coreset: Hierarchical neuromorphic computing supporting large-scale neural networks with improved resource efficiency. Neurocomputing 474 (2022)
Meng Wang, Kai Yu, Xinxing Xu, Yi Zhou, Yuanyuan Peng, Yanyu Xu, Rick Siow Mong Goh, Yong Liu, Huazhu Fu
Tiny-Lesion Segmentation in OCT via Multi-scale Wavelet Enhanced Transformer. OMIA@MICCAI (2022)
Renuga Kanagavelu, Qingsong Wei, Zengxiang Li, Haibin Zhang, Juniarto Samsudin, Yechao Yang, Rick Siow Mong Goh, Shangguang Wang
CE-Fed: Communication efficient multi-party computation enabled federated learning. Array 15 (2022)
Hao Zhang, Aixin Sun, Wei Jing, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh
Natural Language Video Localization: A Revisit in Span-Based Question Answering Framework. IEEE Trans. Pattern Anal. Mach. Intell. 44 (8) (2022)
Yanyu Xu, Xinxing Xu, Huazhu Fu, Meng Wang, Rick Siow Mong Goh, Yong Liu
Facing Annotation Redundancy: OCT Layer Segmentation with only 10 Annotated Pixels per Layer. REMIA@MICCAI (2022)
Linh D. Le, Huazhu Fu, Xinxing Xu, Yong Liu, Yanyu Xu, Jiawei Du, Joey Tianyi Zhou, Rick Siow Mong Goh
An Efficient Defending Mechanism Against Image Attacking on Medical Image Segmentation Models. REMIA@MICCAI (2022)
Yan Wang, Yangqin Feng, Lei Zhang, Joey Tianyi Zhou, Yong Liu, Rick Siow Mong Goh, Liangli Zhen
Adversarial multimodal fusion with attention mechanism for skin lesion classification using clinical and dermoscopic images. Medical Image Anal. 81 (2022)
Daniel Gerlinghoff, Zhehui Wang, Xiaozhe Gu, Rick Siow Mong Goh, Tao Luo
A Resource-efficient Spiking Neural Network Accelerator Supporting Emerging Neural Encoding. DATE (2022)
Gabriel Tjio, Ping Liu, Joey Tianyi Zhou, Rick Siow Mong Goh
Adversarial Semantic Hallucination for Domain Generalized Semantic Segmentation. WACV (2022)
Xiuchao Sui, Shaohua Li, Xue Geng, Yan Wu, Xinxing Xu, Yong Liu, Rick Siow Mong Goh, Hongyuan Zhu
CRAFT: Cross-Attentional Flow Transformer for Robust Optical Flow. CVPR (2022)
Tian Huang, Jun Xu, Tao Luo, Xiaozhe Gu, Rick Siow Mong Goh, Weng-Fai Wong
Benchmarking Quantum(-inspired) Annealing Hardware on Practical Use Cases. CoRR (2022)
Daniel Gerlinghoff, Tao Luo, Rick Siow Mong Goh, Weng-Fai Wong
Desire Backpropagation: A Lightweight Training Algorithm for Multi-Layer Spiking Neural Networks based on Spike-Timing-Dependent Plasticity. CoRR (2022)
Daniel Gerlinghoff, Zhehui Wang, Xiaozhe Gu, Rick Siow Mong Goh, Tao Luo
A Resource-efficient Spiking Neural Network Accelerator Supporting Emerging Neural Encoding. CoRR (2022)
Renuga Kanagavelu, Kinshuk Dua, Pratik Garai, Susan Elias, Neha Thomas, Simon Elias, Qingsong Wei, Rick Siow Mong Goh, Liu Yong
FedUKD: Federated UNet Model with Knowledge Distillation for Land Use Classification from Satellite and Street Views. CoRR (2022)
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
Localizing Anatomical Landmarks in Ocular Images using Zoom-In Attentive Networks. CoRR (2022)
Zhe Xiao, Xiuju Fu, Liye Zhang, Wanbing Zhang, Ryan Wen Liu, Zhao Liu, Rick Siow Mong Goh
Big Data Driven Vessel Trajectory and Navigating State Prediction With Adaptive Learning, Motion Modeling and Particle Filtering Techniques. IEEE Trans. Intell. Transp. Syst. 23 (4) (2022)
Jiawei Du, Hanshu Yan, Jiashi Feng, Joey Tianyi Zhou, Liangli Zhen, Rick Siow Mong Goh, Vincent Y. F. Tan
Efficient Sharpness-aware Minimization for Improved Training of Neural Networks. ICLR (2022)
Liangli Zhen, Peng Hu, Xi Peng, Rick Siow Mong Goh, Joey Tianyi Zhou
Deep Multimodal Transfer Learning for Cross-Modal Retrieval. IEEE Trans. Neural Networks Learn. Syst. 33 (2) (2022)
Hao Zhang, Aixin Sun, Wei Jing, Guoshun Nan, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh
Video Corpus Moment Retrieval with Contrastive Learning. CoRR (2021)
Shaohua Li, Xiuchao Sui, Xiangde Luo, Xinxing Xu, Yong Liu, Rick Siow Mong Goh
Medical Image Segmentation using Squeeze-and-Expansion Transformers. IJCAI (2021)
Daniel Gerlinghoff, Zhehui Wang, Xiaozhe Gu, Rick Siow Mong Goh, Tao Luo
E3NE: An End-to-End Framework for Accelerating Spiking Neural Networks with Emerging Neural Encoding on FPGAs. CoRR (2021)
Zhiming Hu, Baochun Li, Zheng Qin, Rick Siow Mong Goh
Low Latency Big Data Processing without Prior Information. IEEE Trans. Cloud Comput. 9 (4) (2021)
Zhehui Wang, Xiaozhe Gu, Rick Siow Mong Goh, Joey Tianyi Zhou, Tao Luo
Efficient Spiking Neural Networks with Radix Encoding. CoRR (2021)
Zhehui Wang, Tao Luo, Miqing Li, Joey Tianyi Zhou, Rick Siow Mong Goh, Liangli Zhen
Evolutionary Multi-Objective Model Compression for Deep Neural Networks. IEEE Comput. Intell. Mag. 16 (3) (2021)
Hao Zhang, Aixin Sun, Wei Jing, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh
Parallel Attention Network with Sequence Matching for Video Grounding. ACL/IJCNLP (Findings) (2021)
Hao Zhang, Aixin Sun, Wei Jing, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh
Natural Language Video Localization: A Revisit in Span-based Question Answering Framework. CoRR (2021)
Yanyu Xu, Xinxing Xu, Lei Jin, Shenghua Gao, Rick Siow Mong Goh, Daniel Shu Wei Ting, Yong Liu
Partially-Supervised Learning for Vessel Segmentation in Ocular Images. MICCAI (1) (2021)
Hao Zhang, Aixin Sun, Wei Jing, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh
Parallel Attention Network with Sequence Matching for Video Grounding. CoRR (2021)
Hao Zhang, Aixin Sun, Wei Jing, Guoshun Nan, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh
Video Corpus Moment Retrieval with Contrastive Learning. SIGIR (2021)
Shaohua Li, Xiuchao Sui, Jie Fu, Huazhu Fu, Xiangde Luo, Yangqin Feng, Xinxing Xu, Yong Liu, Daniel Shu Wei Ting, Rick Siow Mong Goh
Few-Shot Domain Adaptation with Polymorphic Transformers. CoRR (2021)
Zhe Xiao, Liye Zhang, Xiuju Fu, Wanbing Zhang, Joey Tianyi Zhou, Rick Siow Mong Goh
Concurrent Processing Cluster Design to Empower Simultaneous Prediction for Hundreds of Vessels' Trajectories in Near Real-Time. IEEE Trans. Syst. Man Cybern. Syst. 51 (3) (2021)
Tian Huang, Tao Luo, Ming Yan, Joey Tianyi Zhou, Rick Siow Mong Goh
RCT: Resource Constrained Training for Edge AI. CoRR (2021)
Jiawei Du, Hanshu Yan, Jiashi Feng, Joey Tianyi Zhou, Liangli Zhen, Rick Siow Mong Goh, Vincent Y. F. Tan
Efficient Sharpness-aware Minimization for Improved Training of Neural Networks. CoRR (2021)
Shaohua Li, Xiuchao Sui, Jie Fu, Huazhu Fu, Xiangde Luo, Yangqin Feng, Xinxing Xu, Yong Liu, Daniel Shu Wei Ting, Rick Siow Mong Goh
Few-Shot Domain Adaptation with Polymorphic Transformers. MICCAI (2) (2021)
Gabriel Tjio, Ping Liu, Joey Tianyi Zhou, Rick Siow Mong Goh
Adversarial Semantic Hallucination for Domain Generalized Semantic Segmentation. CoRR (2021)
Myat Thu Linn Aung, Chuping Qu, Liwei Yang, Tao Luo, Rick Siow Mong Goh, Weng-Fai Wong
DeepFire: Acceleration of Convolutional Spiking Neural Network on Modern Field Programmable Gate Arrays. FPL (2021)
Tao Luo, Wai Teng Tang, Matthew Kay Fei Lee, Chuping Qu, Weng-Fai Wong, Rick Siow Mong Goh
DTNN: Energy-efficient Inference with Dendrite Tree Inspired Neural Networks for Edge Vision Applications. CoRR (2021)
Zhehui Wang, Tao Luo, Rick Siow Mong Goh, Wei Zhang, Weng-Fai Wong
Optimizing for In-memory Deep Learning with Emerging Memory Technology. CoRR (2021)
Shaohua Li, Xiuchao Sui, Xiangde Luo, Xinxing Xu, Yong Liu, Rick Siow Mong Goh
Medical Image Segmentation using Squeeze-and-Expansion Transformers. CoRR (2021)
Huafei Zhu, Rick Siow Mong Goh, Wee Keong Ng
Privacy-Preserving Weighted Federated Learning Within the Secret Sharing Framework. IEEE Access 8 (2020)
Renuga Kanagavelu, Zengxiang Li, Juniarto Samsudin, Yechao Yang, Feng Yang, Rick Siow Mong Goh, Mervyn Cheah, Praewpiraya Wiwatphonthana, Khajonpong Akkarajitsakul, Shangguang Wang
Two-Phase Multi-Party Computation Enabled Privacy-Preserving Federated Learning. CCGRID (2020)
Tao Luo, Xuan Wang, Chuping Qu, Matthew Kay Fei Lee, Wai Teng Tang, Weng-Fai Wong, Rick Siow Mong Goh
An FPGA-Based Hardware Emulator for Neuromorphic Chip With RRAM. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (2) (2020)
Zhe Xiao, Zengxiang Li, Yechao Yang, Piao Chen, Ryan Wen Liu, Wei Jing, Yauheni Pyrloh, Ekanut Sotthiwat, Rick Siow Mong Goh
Blockchain and IoT for Insurance: A Case Study and Cyberinfrastructure Solution on Fine-Grained Transportation Insurance. IEEE Trans. Comput. Soc. Syst. 7 (6) (2020)
Huafei Zhu, Zengxiang Li, Merivyn Cheah, Rick Siow Mong Goh
Privacy-preserving Weighted Federated Learning within Oracle-Aided MPC Framework. CoRR (2020)
Hao Zhang, Joey Tianyi Zhou, Tianying Wang, Ivor W. Tsang, Rick Siow Mong Goh
Deep N-ary Error Correcting Output Codes. CoRR (2020)
Jiawei Du, Hanshu Yan, Joey Tianyi Zhou, Rick Siow Mong Goh, Jiashi Feng
RAIN: Robust and Accurate Classification Networks with Randomization and Enhancement. CoRR (2020)
Zhe Xiao, Xiuju Fu, Liye Zhang, Rick Siow Mong Goh
Traffic Pattern Mining and Forecasting Technologies in Maritime Traffic Service Networks: A Comprehensive Survey. IEEE Trans. Intell. Transp. Syst. 21 (5) (2020)
Zhehui Wang, Tao Luo, Joey Tianyi Zhou, Rick Siow Mong Goh
EDCompress: Energy-Aware Model Compression with Dataflow. CoRR (2020)
Yongqing Zhu, Juniarto Samsudin, Renuga Kanagavelu, Weiwen Zhang, Long Wang, Theint Theint Aye, Rick Siow Mong Goh
Fast Recovery MapReduce (FAR-MR) to accelerate failure recovery in big data applications. J. Supercomput. 76 (5) (2020)
Renuga Kanagavelu, Zengxiang Li, Juniarto Samsudin, Yechao Yang, Feng Yang, Rick Siow Mong Goh, Mervyn Cheah, Praewpiraya Wiwatphonthana, Khajonpong Akkarajitsakul, Shangguang Wang
Two-Phase Multi-Party Computation Enabled Privacy-Preserving Federated Learning. CoRR (2020)
Zhehui Wang, Huaipeng Zhang, Tao Luo, Weng-Fai Wong, Anh-Tuan Do, Paramasivam Vishnu, Wei Zhang, Rick Siow Mong Goh
NCPower: Power Modelling for NVM-based Neuromorphic Chip. ICONS (2020)
Shaohua Li, Xiuchao Sui, Jie Fu, Yong Liu, Rick Siow Mong Goh
Feature Lenses: Plug-and-play Neural Modules for Transformation-Invariant Visual Representations. CoRR (2020)
Gabriel Tjio, Shaohua Li, Xinxing Xu, Daniel Shu Wei Ting, Yong Liu, Rick Siow Mong Goh
Multi-discriminator Generative Adversarial Networks for Improved Thin Retinal Vessel Segmentation. OMIA@MICCAI (2019)
Zengxiang Li, Chutima Kitcharoenpaisan, Phond Phunchongharn, Yechao Yang, Rick Siow Mong Goh, Yusen Li
Efficient Multi-party Computation Algorithm Design for Real-World Applications. ICPADS (2019)
Shaohua Li, Yong Liu, Xiuchao Sui, Cheng Chen, Gabriel Tjio, Daniel Shu Wei Ting, Rick Siow Mong Goh
Multi-Instance Multi-Scale CNN for Medical Image Classification. MICCAI (4) (2019)
Joey Tianyi Zhou, Jiawei Du, Hongyuan Zhu, Xi Peng, Yong Liu, Rick Siow Mong Goh
AnomalyNet: An Anomaly Detection Network for Video Surveillance. IEEE Trans. Inf. Forensics Secur. 14 (10) (2019)
Shaohua Li, Yong Liu, Xiuchao Sui, Cheng Chen, Gabriel Tjio, Daniel Shu Wei Ting, Rick Siow Mong Goh
Multi-Instance Multi-Scale CNN for Medical Image Classification. CoRR (2019)
Hai-Yan Xu, Vasundhara Jayaraman, Xiuju Fu, Nasri Bin Othman, Wanbing Zhang, Xiaofeng Yin, Deqing Zhai, Rick Siow Mong Goh
Efficient Compression and Preprocessing for Facilitating Large Scale Spatiotemporal Data Mining - A Case Study based on Automatic Identification System Data. IEEM (2019)
Matthew Kay Fei Lee, Yingnan Cui, Thannirmalai Somu, Tao Luo, Jun Zhou, Wai Teng Tang, Weng-Fai Wong, Rick Siow Mong Goh
A System-Level Simulator for RRAM-Based Neuromorphic Computing Chips. ACM Trans. Archit. Code Optim. 15 (4) (2019)
Deqing Zhai, Xiuju Fu, Hai-Yan Xu, Xiaofeng Yin, Jayaraman Vasundhara, Wanbing Zhang, Rick Siow Mong Goh
Optimization and Simulation on Tanker Vessels Scheduling for Efficient Terminal Operations. IEEM (2019)

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Rick Siow Mong Goh