Search Results - "Goh, Rick Siow Mong"
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1
Privacy-Preserving Weighted Federated Learning Within the Secret Sharing Framework
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
Early dengue outbreak detection modeling based on dengue incidences in Singapore during 2012 to 2017
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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3
AnomalyNet: An Anomaly Detection Network for Video Surveillance
Published in IEEE transactions on information forensics and security (01-10-2019)“…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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4
Traffic Pattern Mining and Forecasting Technologies in Maritime Traffic Service Networks: A Comprehensive Survey
Published in IEEE transactions on intelligent transportation systems (01-05-2020)“…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
Deep Multimodal Transfer Learning for Cross-Modal Retrieval
Published in IEEE transaction on neural networks and learning systems (01-02-2022)“…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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6
Deep Neural Network Augments Performance of Junior Residents in Diagnosing COVID-19 Pneumonia on Chest Radiographs
Published in Diagnostics (Basel) (01-04-2023)“…Chest X-rays (CXRs) are essential in the preliminary radiographic assessment of patients affected by COVID-19. Junior residents, as the first point-of-contact…”
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7
E3NE: An End-to-End Framework for Accelerating Spiking Neural Networks With Emerging Neural Encoding on FPGAs
Published in IEEE transactions on parallel and distributed systems (01-11-2022)“…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
EDCompress: Energy-Aware Model Compression for Dataflows
Published in IEEE transaction on neural networks and learning systems (01-01-2024)“…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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9
Efficient Spiking Neural Networks With Radix Encoding
Published in IEEE transaction on neural networks and learning systems (01-03-2024)“…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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10
Big Data Driven Vessel Trajectory and Navigating State Prediction With Adaptive Learning, Motion Modeling and Particle Filtering Techniques
Published in IEEE transactions on intelligent transportation systems (01-04-2022)“…The predictive vessel surveillance is one of the indispensable functional components in intelligent maritime traffic system. Vessel trajectory prediction…”
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11
Natural Language Video Localization: A Revisit in Span-Based Question Answering Framework
Published in IEEE transactions on pattern analysis and machine intelligence (01-08-2022)“…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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12
Transfer Hashing: From Shallow to Deep
Published in IEEE transaction on neural networks and learning systems (01-12-2018)“…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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13
NC-Net: Efficient Neuromorphic Computing Using Aggregated Subnets on a Crossbar-Based Architecture With Nonvolatile Memory
Published in IEEE transactions on computer-aided design of integrated circuits and systems (01-09-2022)“…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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14
Learning With Annotation of Various Degrees
Published in IEEE transaction on neural networks and learning systems (01-09-2019)“…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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15
Building an Ethereum and IPFS-Based Decentralized Social Network System
Published in 2018 IEEE 24th International Conference on Parallel and Distributed Systems (ICPADS) (01-12-2018)“…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 -
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Efficient GPU Spatial-Temporal Multitasking
Published in IEEE transactions on parallel and distributed systems (01-03-2015)“…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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17
Geometric Correspondence-Based Multimodal Learning for Ophthalmic Image Analysis
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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18
Contrastive domain adaptation with consistency match for automated pneumonia diagnosis
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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19
DeepFire2: A Convolutional Spiking Neural Network Accelerator on FPGAs
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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20
An FPGA-Based Hardware Emulator for Neuromorphic Chip With RRAM
Published in IEEE transactions on computer-aided design of integrated circuits and systems (01-02-2020)“…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