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Rich Siow Mong Goh
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2020 – today
- 2024
[j52]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:
MedNAS: Multiscale Training-Free Neural Architecture Search for Medical Image Analysis. IEEE Trans. Evol. Comput. 28(3): 668-681 (2024)- [j51]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): 1945-1957 (2024) - [j50]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): 208-220 (2024) - [j49]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): 2575-2587 (2024) - [j48]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): 3689-3701 (2024) - [j47]Zhehui Wang, Tao Luo, Rick Siow Mong Goh, Wei Zhang, Weng-Fai Wong:
Optimizing for In-Memory Deep Learning With Emerging Memory Technology. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15306-15320 (2024) - [c85]Yuan Wang, Huazhu Fu, Renuga Kanagavelu, Qingsong Wei, Yong Liu, Rick Siow Mong Goh:
An Aggregation-Free Federated Learning for Tackling Data Heterogeneity. CVPR 2024: 26223-26232 - [c84]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: 235-245 - [c83]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 - [c82]Yunlu Yan, Lei Zhu, Yuexiang Li, Xinxing Xu, Rick Siow Mong Goh, Yong Liu, Salman H. Khan, Chun-Mei Feng:
A New Perspective to Boost Performance Fairness For Medical Federated Learning. MICCAI (10) 2024: 13-23 - [c81]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:
Enhancing Community Vision Screening: AI-Driven Retinal Photography for Early Disease Detection and Patient Trust. OMIA@MICCAI 2024: 146-156 - [c80]Menghan Zhou, Yanyu Xu, Zhi Da Soh, Huazhu Fu, Rick Siow Mong Goh, Ching-Yu Cheng, Yong Liu, Liangli Zhen:
MedMLP: An Efficient MLP-Like Network for Zero-Shot Retinal Image Classification. MICCAI (3) 2024: 262-272 - [c79]Yanyu Xu, Yingzhi Xia, Huazhu Fu, Rick Siow Mong Goh, Yong Liu, Xinxing Xu:
Multi-Scale Region-Aware Implicit Neural Network for Medical Images Matting. MICCAI (9) 2024: 467-477 - [c78]Renuga Kanagavelu, Madhav Walia, Yuan Wang, Huazhu Fu, Qingsong Wei, Yong Liu, Rick Siow Mong Goh:
MedSynth: Leveraging Generative Model for Healthcare Data Sharing. MICCAI (12) 2024: 654-664 - [c77]Kai Yu, Yang Zhou, Yang Bai, Zhi Da Soh, Xinxing Xu, Rick Siow Mong Goh, Ching-Yu Cheng, Yong Liu:
UrFound: Towards Universal Retinal Foundation Models via Knowledge-Guided Masked Modeling. MICCAI (12) 2024: 753-762 - [c76]Lei Zhu, Yanyu Xu, Huazhu Fu, Xinxing Xu, Rick Siow Mong Goh, Yong Liu:
Partially Supervised Unpaired Multi-modal Learning for Label-Efficient Medical Image Segmentation. MLMI@MICCAI (2) 2024: 85-94 - [c75]Zitong Huang, Ze Chen, Yuanze Li, Bowen Dong, Erjin Zhou, Yong Liu, Rick Siow Mong Goh, Chun-Mei Feng, Wangmeng Zuo:
Class Balance Matters to Active Class-Incremental Learning. ACM Multimedia 2024: 9445-9454 - [c74]Wei Jie Yeo, Ranjan Satapathy, Rich Siow Mong Goh, Erik Cambria:
How Interpretable are Reasoning Explanations from Prompting Large Language Models? NAACL-HLT (Findings) 2024: 2148-2164 - [i53]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 abs/2401.01598 (2024) - [i52]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 abs/2402.11211 (2024) - [i51]Wei Jie Yeo, Ranjan Satapathy, Rick Siow Mong Goh, Erik Cambria:
How Interpretable are Reasoning Explanations from Prompting Large Language Models? CoRR abs/2402.11863 (2024) - [i50]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 abs/2403.07151 (2024) - [i49]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 abs/2403.11414 (2024) - [i48]Yuan Wang, Huazhu Fu, Renuga Kanagavelu, Qingsong Wei, Yong Liu, Rick Siow Mong Goh:
An Aggregation-Free Federated Learning for Tackling Data Heterogeneity. CoRR abs/2404.18962 (2024) - [i47]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 abs/2407.01155 (2024) - [i46]Hulin Yang, Mingzhe Li, Jin Zhang, Alia Asheralieva, Qingsong Wei, Rich Siow Mong Goh:
BriDe Arbitrager: Enhancing Arbitrage in Ethereum 2.0 via Bribery-enabled Delayed Block Production. CoRR abs/2407.08537 (2024) - [i45]Kai Yu, Yang Zhou, Yang Bai, Zhi Da Soh, Xinxing Xu, Rick Siow Mong Goh, Ching-Yu Cheng, Yong Liu:
UrFound: Towards Universal Retinal Foundation Models via Knowledge-Guided Masked Modeling. CoRR abs/2408.05618 (2024) - [i44]Yang Bai, Yang Zhou, Jun Zhou, Rick Siow Mong Goh, Daniel Shu Wei Ting, Yong Liu:
From Generalist to Specialist: Adapting Vision Language Models via Task-Specific Visual Instruction Tuning. CoRR abs/2410.06456 (2024) - [i43]Zhehui Wang, Tao Luo, Cheng Liu, Weichen Liu, Rick Siow Mong Goh, Weng-Fai Wong:
Enabling Energy-Efficient Deployment of Large Language Models on Memristor Crossbar: A Synergy of Large and Small. CoRR abs/2410.15977 (2024) - [i42]Yunlu Yan, Lei Zhu, Yuexiang Li, Xinxing Xu, Rick Siow Mong Goh, Yong Liu, Salman Khan, Chun-Mei Feng:
A New Perspective to Boost Performance Fairness for Medical Federated Learning. CoRR abs/2410.19765 (2024) - [i41]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:
Enhancing Community Vision Screening - AI Driven Retinal Photography for Early Disease Detection and Patient Trust. CoRR abs/2410.20309 (2024) - [i40]Yang Zhou, Tan Li Hui Faith, Yanyu Xu, Sicong Leng, Xinxing Xu, Yong Liu, Rick Siow Mong Goh:
BenchX: A Unified Benchmark Framework for Medical Vision-Language Pretraining on Chest X-Rays. CoRR abs/2410.21969 (2024) - [i39]Mingzhe Li, Bo Gao, Kentaroh Toyoda, Yechao Yang, Juniarto Samsudin, Haibin Zhang, Qingsong Wei, Yong Liu, Rich Siow Mong Goh:
MStableChain: Towards Multi-Native Stablecoins in EVM-Compatible Blockchain for Stable Fee and Mass Adoption. CoRR abs/2410.22100 (2024) - 2023
- [j46]Tian Huang, Yongxin Zhu, Rick Siow Mong Goh, Tao Luo:
When quantum annealing meets multitasking: Potentials, challenges and opportunities. Array 17: 100282 (2023) - [j45]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): 52-57 (2023) - [j44]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: 126773 (2023) - [j43]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: 102664 (2023) - [j42]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:
Federated benchmarking of medical artificial intelligence with MedPerf. Nat. Mac. Intell. 5(7): 799-810 (2023) - [j41]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): 1692-1705 (2023) - [j40]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): 2847-2857 (2023) - [j39]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): 2767-2782 (2023) - [c73]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 - [c72]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: 181-191 - [c71]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: 222-232 - [c70]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: 625-636 - [i38]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 abs/2301.00349 (2023) - [i37]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 abs/2301.12798 (2023) - [i36]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 abs/2303.13033 (2023) - [i35]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 abs/2304.03981 (2023) - [i34]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 abs/2305.05187 (2023) - [i33]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 abs/2308.10162 (2023) - [i32]Yunlu Yan, Chun-Mei Feng, Yuexiang Li, Rick Siow Mong Goh, Lei Zhu:
Federated Pseudo Modality Generation for Incomplete Multi-Modal MRI Reconstruction. CoRR abs/2308.10910 (2023) - [i31]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. CoRR abs/2310.05473 (2023) - [i30]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 abs/2312.12273 (2023) - 2022
- [j38]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: 100207 (2022) - [j37]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: 128-140 (2022) - [j36]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: 109 (2022) - [j35]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: 102535 (2022) - [j34]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): 4252-4266 (2022) - [j33]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): 2957-2969 (2022) - [j32]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): 3696-3709 (2022) - [j31]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): 798-810 (2022) - [j30]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): 3207-3219 (2022) - [c69]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: 17581-17590 - [c68]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: 92-95 - [c67]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 - [c66]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: 65-74 - [c65]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: 94-104 - [c64]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: 125-134 - [c63]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: 126-136 - [c62]Gabriel Tjio, Ping Liu, Joey Tianyi Zhou, Rick Siow Mong Goh:
Adversarial Semantic Hallucination for Domain Generalized Semantic Segmentation. WACV 2022: 3849-3858 - [i29]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 abs/2203.02325 (2022) - [i28]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 abs/2203.16896 (2022) - [i27]Daniel Gerlinghoff, Zhehui Wang, Xiaozhe Gu, Rick Siow Mong Goh, Tao Luo:
A Resource-efficient Spiking Neural Network Accelerator Supporting Emerging Neural Encoding. CoRR abs/2206.02495 (2022) - [i26]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 abs/2210.02445 (2022) - [i25]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 abs/2211.05412 (2022) - [i24]Renuga Kanagavelu, Kinshuk Dua, Pratik Garai, Susan Elias, Neha Thomas, Simon Elias, Qingsong Wei, Rick Siow Mong Goh, Yong Liu:
FedUKD: Federated UNet Model with Knowledge Distillation for Land Use Classification from Satellite and Street Views. CoRR abs/2212.02196 (2022) - 2021
- [j29]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): 10-21 (2021) - [j28]Zhiming Hu, Baochun Li, Zheng Qin, Rick Siow Mong Goh:
Low Latency Big Data Processing without Prior Information. IEEE Trans. Cloud Comput. 9(4): 1521-1534 (2021) - [j27]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): 1830-1843 (2021) - [c61]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: 776-790 - [c60]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: 28-32 - [c59]Shaohua Li, Xiuchao Sui, Xiangde Luo, Xinxing Xu, Yong Liu, Rick Siow Mong Goh:
Medical Image Segmentation using Squeeze-and-Expansion Transformers. IJCAI 2021: 807-815 - [c58]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: 271-281 - [c57]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: 330-340 - [c56]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: 685-695 - [i23]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 abs/2102.13558 (2021) - [i22]Tian Huang, Tao Luo, Ming Yan, Joey Tianyi Zhou, Rick Siow Mong Goh:
RCT: Resource Constrained Training for Edge AI. CoRR abs/2103.14493 (2021) - [i21]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 abs/2105.06247 (2021) - [i20]Zhehui Wang, Xiaozhe Gu, Rick Siow Mong Goh, Joey Tianyi Zhou, Tao Luo:
Efficient Spiking Neural Networks with Radix Encoding. CoRR abs/2105.06943 (2021) - [i19]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 abs/2105.08481 (2021) - [i18]Shaohua Li, Xiuchao Sui, Xiangde Luo, Xinxing Xu, Yong Liu, Rick Siow Mong Goh:
Medical Image Segmentation using Squeeze-and-Expansion Transformers. CoRR abs/2105.09511 (2021) - [i17]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 abs/2105.11848 (2021) - [i16]Gabriel Tjio, Ping Liu, Joey Tianyi Zhou, Rick Siow Mong Goh:
Adversarial Semantic Hallucination for Domain Generalized Semantic Segmentation. CoRR abs/2106.04144 (2021) - [i15]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 abs/2107.04805 (2021) - [i14]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 abs/2110.03141 (2021) - [i13]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 abs/2111.10027 (2021) - [i12]Zhehui Wang, Tao Luo, Rick Siow Mong Goh, Wei Zhang, Weng-Fai Wong:
Optimizing for In-memory Deep Learning with Emerging Memory Technology. CoRR abs/2112.00324 (2021) - 2020
- [j26]Huafei Zhu, Rick Siow Mong Goh, Wee Keong Ng:
Privacy-Preserving Weighted Federated Learning Within the Secret Sharing Framework. IEEE Access 8: 198275-198284 (2020) - [j25]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): 438-450 (2020) - [j24]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): 1409-1422 (2020) - [j23]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): 1796-1825 (2020) - [j22]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): 3572-3588 (2020) - [c55]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: 410-419 - [c54]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: 15:1-15:7 - [i11]Huafei Zhu, Zengxiang Li, Merivyn Cheah, Rick Siow Mong Goh:
Privacy-preserving Weighted Federated Learning within Oracle-Aided MPC Framework. CoRR abs/2003.07630 (2020) - [i10]