Search Results - "Goh, Rick Siow Mong"

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  1. 1

    Privacy-Preserving Weighted Federated Learning Within the Secret Sharing Framework by Zhu, Huafei, Mong Goh, Rick Siow, Ng, Wee-Keong

    Published in IEEE access (2020)
    “…This paper studies privacy-preserving weighted federated learning within the secret sharing framework, where individual private data is split into random…”
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    Journal Article
  2. 2

    Early dengue outbreak detection modeling based on dengue incidences in Singapore during 2012 to 2017 by Chen, Piao, Fu, Xiuju, Ma, Stefan, Xu, Hai‐Yan, Zhang, Wanbing, Xiao, Gaoxi, Siow Mong Goh, Rick, Xu, George, Ching Ng, Lee

    Published in Statistics in medicine (10-07-2020)
    “…Dengue has been as an endemic with year‐round presence in Singapore. In the recent years 2013, 2014, and 2016, there were several severe dengue outbreaks,…”
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    Journal Article
  3. 3

    AnomalyNet: An Anomaly Detection Network for Video Surveillance by Zhou, Joey Tianyi, Du, Jiawei, Zhu, Hongyuan, Peng, Xi, Liu, Yong, Goh, Rick Siow Mong

    “…Sparse coding-based anomaly detection has shown promising performance, of which the keys are feature learning, sparse representation, and dictionary learning…”
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    Journal Article
  4. 4

    Traffic Pattern Mining and Forecasting Technologies in Maritime Traffic Service Networks: A Comprehensive Survey by Xiao, Zhe, Fu, Xiuju, Zhang, Liye, Goh, Rick Siow Mong

    “…Maritime traffic service networks and information systems play a vital role in maritime traffic safety management. The data collected from the maritime traffic…”
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    Journal Article
  5. 5

    Deep Multimodal Transfer Learning for Cross-Modal Retrieval by Zhen, Liangli, Hu, Peng, Peng, Xi, Goh, Rick Siow Mong, Zhou, Joey Tianyi

    “…Cross-modal retrieval (CMR) enables flexible retrieval experience across different modalities (e.g., texts versus images), which maximally benefits us from the…”
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    Journal Article
  6. 6
  7. 7

    E3NE: An End-to-End Framework for Accelerating Spiking Neural Networks With Emerging Neural Encoding on FPGAs by Gerlinghoff, Daniel, Wang, Zhehui, Gu, Xiaozhe, Goh, Rick Siow Mong, Luo, Tao

    “…Compiler frameworks are crucial for the widespread use of FPGA-based deep learning accelerators. They allow researchers and developers, who are not familiar…”
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    Journal Article
  8. 8

    EDCompress: Energy-Aware Model Compression for Dataflows by Wang, Zhehui, Luo, Tao, Goh, Rick Siow Mong, Zhou, Joey Tianyi

    “…Edge devices demand low energy consumption, cost, and small form factor. To efficiently deploy convolutional neural network (CNN) models on the edge device,…”
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    Journal Article
  9. 9

    Efficient Spiking Neural Networks With Radix Encoding by Wang, Zhehui, Gu, Xiaozhe, Goh, Rick Siow Mong, Zhou, Joey Tianyi, Luo, Tao

    “…Spiking neural networks (SNNs) have advantages in latency and energy efficiency over traditional artificial neural networks (ANNs) due to their event-driven…”
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    Journal Article
  10. 10

    Big Data Driven Vessel Trajectory and Navigating State Prediction With Adaptive Learning, Motion Modeling and Particle Filtering Techniques by Xiao, Zhe, Fu, Xiuju, Zhang, Liye, Zhang, Wanbing, Liu, Ryan Wen, Liu, Zhao, Goh, Rick Siow Mong

    “…The predictive vessel surveillance is one of the indispensable functional components in intelligent maritime traffic system. Vessel trajectory prediction…”
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    Journal Article
  11. 11

    Natural Language Video Localization: A Revisit in Span-Based Question Answering Framework by Zhang, Hao, Sun, Aixin, Jing, Wei, Zhen, Liangli, Zhou, Joey Tianyi, Goh, Rick Siow Mong

    “…Natural Language Video Localization (NLVL) aims to locate a target moment from an untrimmed video that semantically corresponds to a text query. Existing…”
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    Journal Article
  12. 12

    Transfer Hashing: From Shallow to Deep by Zhou, Joey Tianyi, Zhao, Heng, Peng, Xi, Fang, Meng, Qin, Zheng, Goh, Rick Siow Mong

    “…One major assumption used in most existing hashing approaches is that the domain of interest (i.e., the target domain) could provide sufficient training data,…”
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    Journal Article
  13. 13

    NC-Net: Efficient Neuromorphic Computing Using Aggregated Subnets on a Crossbar-Based Architecture With Nonvolatile Memory by Luo, Tao, Yang, Liwei, Zhang, Huaipeng, Qu, Chuping, Wang, Xuan, Cui, Yingnan, Wong, Weng-Fai, Goh, Rick Siow Mong

    “…Neuromorphic computing chips consisting of crossbar arrays of emergent nonvolatile memory (NVM) have the potential of achieving both high energy efficiency and…”
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    Journal Article
  14. 14

    Learning With Annotation of Various Degrees by Zhou, Joey Tianyi, Fang, Meng, Zhang, Hao, Gong, Chen, Peng, Xi, Cao, Zhiguo, Goh, Rick Siow Mong

    “…In this paper, we study a new problem in the scenario of sequences labeling. To be exact, we consider that the training data are with annotation of various…”
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    Journal Article
  15. 15

    Building an Ethereum and IPFS-Based Decentralized Social Network System by Xu, Quanqing, Song, Zhiwen, Mong Goh, Rick Siow, Li, Yongjun

    “…Evolvement of blockchain technology has greatly changed the network and it makes many applications to be distributed, decentralized without loss of security…”
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    Conference Proceeding
  16. 16

    Efficient GPU Spatial-Temporal Multitasking by Yun Liang, Huynh, Huynh Phung, Rupnow, Kyle, Goh, Rick Siow Mong, Deming Chen

    “…Heterogeneous computing nodes are now pervasive throughout computing, and GPUs have emerged as a leading computing device for application acceleration. GPUs…”
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    Journal Article
  17. 17

    Geometric Correspondence-Based Multimodal Learning for Ophthalmic Image Analysis by Wang, Yan, Zhen, Liangli, Tan, Tien-En, Fu, Huazhu, Feng, Yangqin, Wang, Zizhou, Xu, Xinxing, Goh, Rick Siow Mong, Ng, Yipin, Calhoun, Claire, Tan, Gavin Siew Wei, Sun, Jennifer K., Liu, Yong, Ting, Daniel Shu Wei

    Published in IEEE transactions on medical imaging (01-05-2024)
    “…Color fundus photography (CFP) and Optical coherence tomography (OCT) images are two of the most widely used modalities in the clinical diagnosis and…”
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    Journal Article
  18. 18

    Contrastive domain adaptation with consistency match for automated pneumonia diagnosis by Feng, Yangqin, Wang, Zizhou, Xu, Xinxing, Wang, Yan, Fu, Huazhu, Li, Shaohua, Zhen, Liangli, Lei, Xiaofeng, Cui, Yingnan, Sim Zheng Ting, Jordan, Ting, Yonghan, Zhou, Joey Tianyi, Liu, Yong, Siow Mong Goh, Rick, Heng Tan, Cher

    Published in Medical image analysis (01-01-2023)
    “…Pneumonia can be difficult to diagnose since its symptoms are too variable, and the radiographic signs are often very similar to those seen in other illnesses…”
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    Journal Article
  19. 19

    DeepFire2: A Convolutional Spiking Neural Network Accelerator on FPGAs by Aung, Myat Thu Linn, Gerlinghoff, Daniel, Qu, Chuping, Yang, Liwei, Huang, Tian, Goh, Rick Siow Mong, Luo, Tao, Wong, Weng-Fai

    Published in IEEE transactions on computers (01-10-2023)
    “…Brain-inspired spiking neural networks (SNNs) replace the multiply-accumulate operations of traditional neural networks by integrate-and-fire neurons, with the…”
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    Journal Article
  20. 20

    An FPGA-Based Hardware Emulator for Neuromorphic Chip With RRAM by Luo, Tao, Wang, Xuan, Qu, Chuping, Lee, Matthew Kay Fei, Tang, Wai Teng, Wong, Weng-Fai, Goh, Rick Siow Mong

    “…Neuromorphic chip with RRAM devices has been demonstrated as a promising computing platform for neural network-based applications. By directly mapping the…”
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    Journal Article