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)

Twol-amalgamated priority queues. - Rick Siow Mong Goh; Ian Li-Jin Thng (ACM J. Exp. Algorithmics, 2004)

Ladder queue: An O(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)

Data mining analysis to validate performance tuning practices for HPL. - Tuan Zea Tan; Rick Siow Mong Goh; Verdi March; Simon See (CLUSTER, 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 (CSC, 2009)

A Tabu Search for the Heterogeneous DAG Scheduling Problem. - Yi Wen Wong; Rick Siow Mong Goh; Shyh-Hao Kuo; Malcolm Yoke Hean Low (ICPADS, 2009)

A GA-SVM Feature Selection Model Based on High Performance Computing Techniques. - Tianyou Zhang; Xiuju Fu; Rick Siow Mong Goh; Chee Keong Kwoh 001; Gary Kee Khoon Lee (SMC, 2009)

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 (GRID, 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 (SMC, 2010)

Component-based design for adaptive large-scale infectious disease simulation. - Thorsten Matthias Riechers; Shyh-Hao Kuo; Rick Siow Mong Goh; Terence Hung (ICCS, 2010)

A Framework for Dynamic Resource Provisioning and Adaptation in IaaS Clouds. - Ta Nguyen Binh Duong; Xiaorong Li; Rick Siow Mong Goh (CloudCom, 2011)

Automated Architecture-Aware Mapping of Streaming Applications Onto GPUs. - Andrei Hagiescu; Huynh Phung Huynh; Weng-Fai Wong; Rick Siow Mong Goh (IPDPS, 2011)

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 001 (DS-RT, 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 (Euro-Par, 2012)

GPGPU for Real-Time Data Analytics. - Bingsheng He; Huynh Phung Huynh; Rick Siow Mong Goh (ICPADS, 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 (ICPADS, 2012)

Visualization for Anomaly Detection and Data Management by Leveraging Network, Sensor and GIS Techniques. - Zhaoxia Wang 001; Chee Seng Chong; Rick Siow Mong Goh; Wanqing Zhou; Dan Peng; Hoong Chor Chin (ICPADS, 2012)

Scalable framework for mapping streaming applications onto multi-GPU systems. - Huynh Phung Huynh; Andrei Hagiescu; Weng-Fai Wong; Rick Siow Mong Goh (PPoPP, 2012)

Abstract: Mapping Streaming Applications onto GPU Systems. - Huynh Phung Huynh; Andrei Hagiescu; Weng-Fai Wong; Rick Siow Mong Goh; Abhishek Ray (SC Companion, 2012)

Poster: Automated Mapping Streaming Applications onto GPUs. - Huynh Phung Huynh; Andrei Hagiescu; Weng-Fai Wong; Rick Siow Mong Goh; Abhishek Ray (SC Companion, 2012)

A contact-network-based simulation model for evaluating interventions under "what-if" scenarios in epidemic. - Tianyou Zhang; Michael Lees; Chee Keong Kwoh 001; Xiuju Fu; Gary Kee Khoon Lee; Rick Siow Mong Goh (WSC, 2012)

Optimizing the MapReduce framework on Intel Xeon Phi coprocessor. - Mian Lu; Lei Zhang 005; Huynh Phung Huynh; Zhongliang Ong; Yun Liang 001; Bingsheng He; Rick Siow Mong Goh; Richard Huynh (IEEE BigData, 2013)

RiskVis: Supply chain visualization with risk management and real-time monitoring. - Rick Siow Mong Goh; Zhaoxia Wang 001; Xiaofeng Yin; Xiuju Fu; Loganathan Ponnambalam; Sifei Lu; Xiaorong Li (CASE, 2013)

Hierarchical Parallel Algorithm for Modularity-Based Community Detection Using GPUs. - Chun Yew Cheong; Huynh Phung Huynh; David Lo 001; Rick Siow Mong Goh (Euro-Par, 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 (IPDPS, 2013)

Accelerating sparse matrix-vector multiplication on GPUs using bit-representation-optimized schemes. - Wai Teng Tang; Wen Jun Tan; Rajarshi Ray 001; Yi Wen Wong; Weiguang Chen; Shyh-Hao Kuo; Rick Siow Mong Goh; Stephen John Turner; Weng-Fai Wong (SC, 2013)

Disclosing Climate Change Patterns Using an Adaptive Markov Chain Pattern Detection Method. - Zhaoxia Wang 001; Gary Lee; Hoong-Maeng Chan; Reuben Mingguang Li; Xiuju Fu; Rick Siow Mong Goh; Pauline Aw; Martin Hibberd; Hoong Chor Chin (SOCIETY, 2013)

Towards building and evaluating a personalized location-based recommender system. - Rubing Duan; Rick Siow Mong Goh; Feng Yang 011; Yong Kiam Tan; Jesus F. B. Valenzuela (IEEE BigData, 2014)

An Efficient Co-processing Framework for Large-Scale Scientific Applications. - Rubing Duan; Rick Siow Mong Goh; Lily Rachmawati; Long Wang 005; Henry Novianus Palit; Xiaorong Li; Chi Keong Goh; Partha Sarathi Dutta; Leigh Lapworth; David Knott (CloudCom, 2014)

Hierarchical Parallelization and Runtime Scheduling for Pregel-Like Graph Processing Systems. - Zengxiang Li; Rubing Duan; Long Wang 005; Sifei Lu; Zheng Qin 004; Rick Siow Mong Goh (CloudCom, 2014)

An intelligent analysis and prediction model for on-demand cloud computing systems. - Xiuju Fu; Xiaorong Li; Yongqing Zhu; Lipo Wang 001; Rick Siow Mong Goh (IJCNN, 2014)

Special Issue: Recent Advances in Parallel and Distributed Systems, ICPADS 2012 Selected Papers. - Xueyan Tang; Wentong Cai 001; Rick Siow Mong Goh (Future Gener. Comput. Syst., 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)

Optimizing and auto-tuning scale-free sparse matrix-vector multiplication on Intel Xeon Phi. - Wai Teng Tang; Ruizhe Zhao; Mian Lu; Yun Liang 001; Huynh Phung Huyng; Xibai Li; Rick Siow Mong Goh (CGO, 2015)

Integrated QoS-aware Resource Provisioning for Parallel and Distributed Applications. - Zengxiang Li; Long Wang 005; Yu Zhang 028; Tram Truong Huu; En Sheng Lim; Purnima Murali Mohan; Shibin Cheng; Shu Qin Ren; Mohan Gurusamy; Zheng Qin 004; Rick Siow Mong Goh (DS-RT, 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 (ICCL, 2015)

A model to evaluate risk propagation considering effect of dynamic risk information sharing and multi-sourcing in supply chain networks. - Haiyan Xu 002; Xiuju Fu; Loganathan Ponnambalam; Akira Namatame; Xiaofeng Yin; Rick Siow Mong Goh (IEEM, 2015)

Neural Modeling of Buying Behaviour for E-Commerce from Clicking Patterns. - Zhenzhou Wu; Bao Hong Tan; Rubing Duan; Yong Liu 026; Rick Siow Mong Goh (RecSys Challenge, 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)

Adaptive Resource Provisioning Mechanism in VEEs for Improving Performance of HLA-Based Simulations. - Zengxiang Li; Wentong Cai 001; Stephen John Turner; Xiaorong Li; Ta Nguyen Binh Duong; Rick Siow Mong Goh (ACM Trans. Model. Comput. Simul., 2015)

Efficient GPU Spatial-Temporal Multitasking. - Yun Liang 001; Huynh Phung Huynh; Kyle Rupnow; Rick Siow Mong Goh; Deming Chen (IEEE Trans. Parallel Distributed Syst., 2015)

MrPhi: An Optimized MapReduce Framework on Intel Xeon Phi Coprocessors. - Mian Lu; Yun Liang 001; Huynh Phung Huynh; Zhongliang Ong; Bingsheng He; Rick Siow Mong Goh (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)

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)

Market fluctuation risk evaluation model for planning in manufacturing. - Xiaofeng Yin; Xiuju Fu; Loganathan Ponnambalam; Haiyan Xu 002; Rick Siow Mong Goh (ICARCV, 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 (ICCCRI, 2016)

Transfer Hashing with Privileged Information. - Joey Tianyi Zhou; Xinxing Xu; Sinno Jialin Pan; Ivor W. Tsang; Zheng Qin 004; Rick Siow Mong Goh (IJCAI, 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 (SIGMOD Conference, 2016)

Multi-Modal Hybrid Deep Neural Network for Speech Enhancement. - Zhenzhou Wu; Sunil Sivadas; Yong Kiam Tan; Bin Ma 001; Rick Siow Mong Goh (CoRR, 2016)

Simple and Efficient Learning using Privileged Information. - Xinxing Xu; Joey Tianyi Zhou; Ivor W. Tsang; Zheng Qin 004; Rick Siow Mong Goh; Yong Liu 026 (CoRR, 2016)

Transparent three-phase Byzantine fault tolerance for parallel and distributed simulations. - Zengxiang Li; Wentong Cai 001; Stephen John Turner; Zheng Qin 004; Rick Siow Mong Goh (Simul. Model. Pract. Theory, 2016)

Performance Modelling and Cost Effective Execution for Distributed Graph Processing on Configurable VMs. - Zengxiang Li; Bowen Zhang; Shen Ren; Yong Liu 026; Zheng Qin 004; Rick Siow Mong Goh; Mohan Gurusamy (CCGrid, 2017)

Job Scheduling without Prior Information in Big Data Processing Systems. - Zhiming Hu 001; Baochun Li; Zheng Qin 004; Rick Siow Mong Goh (ICDCS, 2017)

Data-driven multi-agent system for maritime traffic safety management. - Zhe Xiao; Xiuju Fu; Liye Zhang; Loganathan Ponnambalam; Rick Siow Mong Goh (ITSC, 2017)

Scale-Free Sparse Matrix-Vector Multiplication on Many-Core Architectures. - Yun Liang 001; Wai Teng Tang; Ruizhe Zhao; Mian Lu; Huynh Phung Huynh; Rick Siow Mong Goh (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2017)

SC2Net: Sparse LSTMs for Sparse Coding. - Joey Tianyi Zhou; Kai Di; Jiawei Du; Xi Peng 001; Hao Yang 033; Sinno Jialin Pan; Ivor W. Tsang; Yong Liu 026; Zheng Qin 004; Rick Siow Mong Goh (AAAI, 2018)

Concurrent Hybrid Breadth-First-Search on Distributed PowerGraph for Skewed Graphs. - Zengxiang Li; Shen Ren; Sifei Lu; Jiachun Guo; Wentong Cai 001; Qin Zheng 002; Rick Siow Mong Goh (ICPADS, 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 (ICPADS, 2018)

Optimal Fee Structure for Efficient Lightning Networks. - Alvin Heng Jun Ren; Ling Feng; Siew Ann Cheong; Rick Siow Mong Goh (ICPADS, 2018)

EMRShare: A Cross-Organizational Medical Data Sharing and Management Framework Using Permissioned Blockchain. - Zhe Xiao; Zengxiang Li; Yong Liu 026; Ling Feng; Weiwen Zhang; Thanarit Lertwuthikarn; Rick Siow Mong Goh (ICPADS, 2018)

Building an Ethereum and IPFS-Based Decentralized Social Network System. - Quanqing Xu; Zhiwen Song; Rick Siow Mong Goh; Yongjun Li 006 (ICPADS, 2018)

Cost-Efficient and Latency-Aware Workflow Scheduling Policy for Container-Based Systems. - Weiwen Zhang; Yong Liu 026; Long Wang 005; Zengxiang Li; Rick Siow Mong Goh (ICPADS, 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)

Exploiting Sparsity to Accelerate Fully Connected Layers of CNN-Based Applications on Mobile SoCs. - Xinfeng Xie; Dayou Du; Qian Li 027; Yun Liang 001; Wai Teng Tang; Zhongliang Ong; Mian Lu; Huynh Phung Huynh; Rick Siow Mong Goh (ACM Trans. Embed. Comput. Syst., 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)

QLDS: A Novel Design Scheme for Trajectory Privacy Protection with Utility Guarantee in Participatory Sensing. - Zhe Xiao; Jingjing Yang; Ming Huang 003; Loganathan Ponnambalam; Xiuju Fu; Rick Siow Mong Goh (IEEE Trans. Mob. Comput., 2018)

Transfer Hashing: From Shallow to Deep. - Joey Tianyi Zhou; Heng Zhao 004; Xi Peng 001; Meng Fang; Zheng Qin 004; Rick Siow Mong Goh (IEEE Trans. Neural Networks Learn. Syst., 2018)

Dual Adversarial Neural Transfer for Low-Resource Named Entity Recognition. - Joey Tianyi Zhou; Hao Zhang 048; Di Jin 005; Hongyuan Zhu 002; Meng Fang; Rick Siow Mong Goh; Kenneth Kwok (ACL (1), 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 (ICPADS, 2019)

Efficient Compression and Preprocessing for Facilitating Large Scale Spatiotemporal Data Mining - A Case Study based on Automatic Identification System Data. - Haiyan Xu 002; Vasundhara Jayaraman; Xiuju Fu; Nasri Bin Othman; Wanbing Zhang; Xiaofeng Yin; Deqing Zhai; Rick Siow Mong Goh (IEEM, 2019)

Optimization and Simulation on Tanker Vessels Scheduling for Efficient Terminal Operations. - Deqing Zhai; Xiuju Fu; Haiyan Xu 002; Xiaofeng Yin; Jayaraman Vasundhara; Wanbing Zhang; Rick Siow Mong Goh (IEEM, 2019)

Multi-Instance Multi-Scale CNN for Medical Image Classification. - Shaohua Li 003; Yong Liu 026; Xiuchao Sui; Cheng Chen 008; Gabriel Tjio; Daniel Shu Wei Ting; Rick Siow Mong Goh (MICCAI (4), 2019)

Multi-discriminator Generative Adversarial Networks for Improved Thin Retinal Vessel Segmentation. - Gabriel Tjio; Shaohua Li 003; Xinxing Xu; Daniel Shu Wei Ting; Yong Liu 026; Rick Siow Mong Goh (OMIA@MICCAI, 2019)

A System-Level Simulator for RRAM-Based Neuromorphic Computing Chips. - Matthew Kay Fei Lee; Yingnan Cui; Thannirmalai Somu; Tao Luo 014; Jun Zhou 014; Wai Teng Tang; Weng-Fai Wong; Rick Siow Mong Goh (ACM Trans. Archit. Code Optim., 2019)

AnomalyNet: An Anomaly Detection Network for Video Surveillance. - Joey Tianyi Zhou; Jiawei Du; Hongyuan Zhu 002; Xi Peng 001; Yong Liu 026; Rick Siow Mong Goh (IEEE Trans. Inf. Forensics Secur., 2019)

Learning With Annotation of Various Degrees. - Joey Tianyi Zhou; Meng Fang; Hao Zhang 048; Chen Gong 002; Xi Peng 001; Zhiguo Cao 001; Rick Siow Mong Goh (IEEE Trans. Neural Networks Learn. Syst., 2019)

Two-Phase Multi-Party Computation Enabled Privacy-Preserving Federated Learning. - Renuga Kanagavelu; Zengxiang Li; Juniarto Samsudin; Yechao Yang; Feng Yang 011; Rick Siow Mong Goh; Mervyn Cheah; Praewpiraya Wiwatphonthana; Khajonpong Akkarajitsakul; Shangguang Wang (CCGRID, 2020)

NCPower: Power Modelling for NVM-based Neuromorphic Chip. - Zhehui Wang; Huaipeng Zhang; Tao Luo 014; Weng-Fai Wong; Anh-Tuan Do; Paramasivam Vishnu; Wei Zhang 012; Rick Siow Mong Goh (ICONS, 2020)

Privacy-Preserving Weighted Federated Learning Within the Secret Sharing Framework. - Huafei Zhu; Rick Siow Mong Goh; Wee Keong Ng (IEEE Access, 2020)

Privacy-preserving Weighted Federated Learning within Oracle-Aided MPC Framework. - Huafei Zhu; Zengxiang Li; Merivyn Cheah; Rick Siow Mong Goh (CoRR, 2020)

Feature Lenses: Plug-and-play Neural Modules for Transformation-Invariant Visual Representations. - Shaohua Li 003; Xiuchao Sui; Jie Fu; Yong Liu 026; 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)

EDCompress: Energy-Aware Model Compression with Dataflow. - Zhehui Wang; Tao Luo 014; Joey Tianyi Zhou; Rick Siow Mong Goh (CoRR, 2020)

Deep N-ary Error Correcting Output Codes. - Hao Zhang 048; Joey Tianyi Zhou; Tianying Wang; Ivor W. Tsang; Rick Siow Mong Goh (CoRR, 2020)

An FPGA-Based Hardware Emulator for Neuromorphic Chip With RRAM. - Tao Luo 014; 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)

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)

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)

Fast Recovery MapReduce (FAR-MR) to accelerate failure recovery in big data applications. - Yongqing Zhu; Juniarto Samsudin; Renuga Kanagavelu; Weiwen Zhang; Long Wang 005; Theint Theint Aye; Rick Siow Mong Goh (J. Supercomput., 2020)

Parallel Attention Network with Sequence Matching for Video Grounding. - Hao Zhang 048; Aixin Sun; Wei Jing; Liangli Zhen; Joey Tianyi Zhou; Rick Siow Mong Goh (ACL/IJCNLP (Findings), 2021)

DeepFire: Acceleration of Convolutional Spiking Neural Network on Modern Field Programmable Gate Arrays. - Myat Thu Linn Aung; Chuping Qu; Liwei Yang; Tao Luo 014; Rick Siow Mong Goh; Weng-Fai Wong (FPL, 2021)

Medical Image Segmentation using Squeeze-and-Expansion Transformers. - Shaohua Li 003; Xiuchao Sui; Xiangde Luo; Xinxing Xu; Yong Liu 026; Rick Siow Mong Goh (IJCAI, 2021)

Few-Shot Domain Adaptation with Polymorphic Transformers. - Shaohua Li 003; Xiuchao Sui; Jie Fu; Huazhu Fu; Xiangde Luo; Yangqin Feng; Xinxing Xu; Yong Liu 026; Daniel Shu Wei Ting; Rick Siow Mong Goh (MICCAI (2), 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 026 (MICCAI (1), 2021)

Video Corpus Moment Retrieval with Contrastive Learning. - Hao Zhang 048; Aixin Sun; Wei Jing; Guoshun Nan; Liangli Zhen; Joey Tianyi Zhou; Rick Siow Mong Goh (SIGIR, 2021)

Evolutionary Multi-Objective Model Compression for Deep Neural Networks. - Zhehui Wang; Tao Luo 014; Miqing Li; Joey Tianyi Zhou; Rick Siow Mong Goh; Liangli Zhen (IEEE Comput. Intell. Mag., 2021)

DTNN: Energy-efficient Inference with Dendrite Tree Inspired Neural Networks for Edge Vision Applications. - Tao Luo 014; Wai Teng Tang; Matthew Kay Fei Lee; Chuping Qu; Weng-Fai Wong; Rick Siow Mong Goh (CoRR, 2021)

Low Latency Big Data Processing without Prior Information. - Zhiming Hu 001; Baochun Li; Zheng Qin 004; Rick Siow Mong Goh (IEEE Trans. Cloud Comput., 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)

CRAFT: Cross-Attentional Flow Transformer for Robust Optical Flow. - Xiuchao Sui; Shaohua Li 003; Xue Geng; Yan Wu 002; Xinxing Xu; Yong Liu 026; Rick Siow Mong Goh; Hongyuan Zhu 002 (CVPR, 2022)

A Resource-efficient Spiking Neural Network Accelerator Supporting Emerging Neural Encoding. - Daniel Gerlinghoff; Zhehui Wang; Xiaozhe Gu; Rick Siow Mong Goh; Tao Luo 014 (DATE, 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 (ICLR, 2022)

An Efficient Defending Mechanism Against Image Attacking on Medical Image Segmentation Models. - Linh D. Le; Huazhu Fu; Xinxing Xu; Yong Liu 026; Yanyu Xu; Jiawei Du; Joey Tianyi Zhou; Rick Siow Mong Goh (REMIA@MICCAI, 2022)

Localizing Anatomical Landmarks in Ocular Images Using Zoom-In Attentive Networks. - Xiaofeng Lei; Shaohua Li 003; Xinxing Xu; Huazhu Fu; Yong Liu 026; Yih Chung Tham; Yangqin Feng; Mingrui Tan; Yanyu Xu; Jocelyn Hui Lin Goh; Rick Siow Mong Goh; Ching-Yu Cheng (OMIA@MICCAI, 2022)

Tiny-Lesion Segmentation in OCT via Multi-scale Wavelet Enhanced Transformer. - Meng Wang 001; Kai Yu 009; Xinxing Xu; Yi Zhou 024; Yuanyuan Peng; Yanyu Xu; Rick Siow Mong Goh; Yong Liu 026; Huazhu Fu (OMIA@MICCAI, 2022)

Facing Annotation Redundancy: OCT Layer Segmentation with only 10 Annotated Pixels per Layer. - Yanyu Xu; Xinxing Xu; Huazhu Fu; Meng Wang 001; Rick Siow Mong Goh; Yong Liu 026 (REMIA@MICCAI, 2022)

Adversarial Semantic Hallucination for Domain Generalized Semantic Segmentation. - Gabriel Tjio; Ping Liu 004; Joey Tianyi Zhou; Rick Siow Mong Goh (WACV, 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)

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 026 (CoRR, 2022)

Coreset: Hierarchical neuromorphic computing supporting large-scale neural networks with improved resource efficiency. - Liwei Yang; Huaipeng Zhang; Tao Luo 014; Chuping Qu; Myat Thu Linn Aung; Yingnan Cui; Jun Zhou 014; Ming Ming Wong; Junran Pu; Anh Tuan Do; Rick Siow Mong Goh; Weng-Fai Wong (Neurocomputing, 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 014; Chuping Qu; Myat Thu Linn Aung; Yingnan Cui; Jun Zhou 014; Ming Ming Wong; Junran Pu; Anh Tuan Do; Rick Siow Mong Goh; Weng-Fai Wong (Neurocomputing, 2022)

Adversarial multimodal fusion with attention mechanism for skin lesion classification using clinical and dermoscopic images. - Yan Wang 015; Yangqin Feng; Lei Zhang 005; Joey Tianyi Zhou; Yong Liu 026; Rick Siow Mong Goh; Liangli Zhen (Medical Image Anal., 2022)

Natural Language Video Localization: A Revisit in Span-Based Question Answering Framework. - Hao Zhang 048; Aixin Sun; Wei Jing; Liangli Zhen; Joey Tianyi Zhou; Rick Siow Mong Goh (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

NC-Net: Efficient Neuromorphic Computing Using Aggregated Subnets on a Crossbar-Based Architecture With Nonvolatile Memory. - Tao Luo 014; 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)

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)

Deep Multimodal Transfer Learning for Cross-Modal Retrieval. - Liangli Zhen; Peng Hu 002; Xi Peng 001; Rick Siow Mong Goh; Joey Tianyi Zhou (IEEE Trans. Neural Networks Learn. Syst., 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 014 (IEEE Trans. Parallel Distributed Syst., 2022)

MA-BERT: Towards Matrix Arithmetic-only BERT Inference by Eliminating Complex Non-Linear Functions. - Neo Wei Ming; Zhehui Wang; Cheng Liu 008; Rick Siow Mong Goh; Tao Luo 014 (ICLR, 2023)

Category-Independent Visual Explanation for Medical Deep Network Understanding. - Yiming Qian; Liangzhi Li 004; Huazhu Fu; Meng Wang 001; Qingsheng Peng; Yih Chung Tham; Ching Yu Cheng; Yong Liu 026; Rick Siow Mong Goh; Xinxing Xu (MICCAI (2), 2023)

Federated Uncertainty-Aware Aggregation for Fundus Diabetic Retinopathy Staging. - Meng Wang 001; Lianyu Wang; Xinxing Xu; Ke Zou; Yiming Qian; Rick Siow Mong Goh; Yong Liu 026; Huazhu Fu (MICCAI (2), 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 026 (MICCAI (3), 2023)

EvidenceCap: Towards trustworthy medical image segmentation via evidential identity cap. - Ke Zou; Xuedong Yuan; Xiaojing Shen; Yidi Chen; Meng Wang 001; Rick Siow Mong Goh; Yong Liu 026; Huazhu Fu (CoRR, 2023)

TrFedDis: Trusted Federated Disentangling Network for Non-IID Domain Feature. - Meng Wang 001; Kai Yu 009; Chun-Mei Feng 001; Yiming Qian; Ke Zou; Lianyu Wang; Rick Siow Mong Goh; Xinxing Xu; Yong Liu 026; Huazhu Fu (CoRR, 2023)

Uncertainty-inspired Open Set Learning for Retinal Anomaly Identification. - Meng Wang 038; Tian Lin 002; Lianyu Wang; Aidi Lin; Ke Zou; Xinxing Xu; Yi Zhou 024; Yuanyuan Peng; Qingquan Meng; Yiming Qian; Guoyao Deng; Zhiqun Wu; et al. (CoRR, 2023)

Rethinking Client Drift in Federated Learning: A Logit Perspective. - Yunlu Yan; Chun-Mei Feng 001; Mang Ye; Wangmeng Zuo; Ping Li 016; Rick Siow Mong Goh; Lei Zhu 003; C. L. Philip Chen (CoRR, 2023)

Federated Pseudo Modality Generation for Incomplete Multi-Modal MRI Reconstruction. - Yunlu Yan; Chun-Mei Feng 001; Yuexiang Li; Rick Siow Mong Goh; Lei Zhu 003 (CoRR, 2023)

VQA4CIR: Boosting Composed Image Retrieval with Visual Question Answering. - Chun-Mei Feng 001; Yang Bai; Tao Luo 014; Zhen Li 026; Salman Khan 001; Wangmeng Zuo; Xinxing Xu; Rick Siow Mong Goh; Yong Liu 026 (CoRR, 2023)

Contrastive domain adaptation with consistency match for automated pneumonia diagnosis. - Yangqin Feng; Zizhou Wang; Xinxing Xu; Yan Wang 015; Huazhu Fu; Shaohua Li 003; Liangli Zhen; Xiaofeng Lei; Yingnan Cui; Jordan Zheng Ting Sim; Yonghan Ting; Joey Tianyi Zhou; et al. (Medical Image Anal., 2023)

When quantum annealing meets multitasking: Potentials, challenges and opportunities. - Tian Huang; Yongxin Zhu 001; Rick Siow Mong Goh; Tao Luo 014 (Array, 2023)

Benchmarking Quantum(-Inspired) Annealing Hardware on Practical Use Cases. - Tian Huang; Jun Xu; Tao Luo 014; Xiaozhe Gu; Rick Siow Mong Goh; Weng-Fai Wong (IEEE Trans. Computers, 2023)

Achieving Green AI with Energy-Efficient Deep Learning Using Neuromorphic Computing. - Tao Luo 014; Weng-Fai Wong; Rick Siow Mong Goh; Anh Tuan Do; Zhixian Chen; Haizhou Li 001; Wenyu Jiang; Weiyun Yau (Commun. ACM, 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; et al. (Nat. Mac. Intell., 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 014; Weng-Fai Wong (IEEE Trans. Computers, 2023)

Simeuro: A Hybrid CPU-GPU Parallel Simulator for Neuromorphic Computing Chips. - Huaipeng Zhang; Nhut-Minh Ho; Dogukan Yigit Polat; Peng Chen 035; Mohamed Wahib; Truong Thao Nguyen; Jintao Meng 001; Rick Siow Mong Goh; Satoshi Matsuoka; Tao Luo 014; Weng-Fai Wong (IEEE Trans. Parallel Distributed Syst., 2023)

Desire backpropagation: A lightweight training algorithm for multi-layer spiking neural networks based on spike-timing-dependent plasticity. - Daniel Gerlinghoff; Tao Luo 014; Rick Siow Mong Goh; Weng-Fai Wong (Neurocomputing, 2023)

An Aggregation-Free Federated Learning for Tackling Data Heterogeneity. - Yuan Wang 008; Huazhu Fu; Renuga Kanagavelu; Qingsong Wei; Yong Liu 026; Rick Siow Mong Goh (CVPR, 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 014 (FPGA, 2024)

Neurosymbolic AI for Mining Key Aspects of Socially Responsible Investing. - Wihan van der Heever; Ranjan Satapathy; Erik Cambria; Rick Siow Mong Goh (ICDM (Workshops), 2024)

Information Extraction: Unstructured to Structured for ESG Reports. - Zounachuan Sun; Ranjan Satapathy; Daixue Guo; Bo Li; Xinyuan Liu; Yangchen Zhang; Cheng-Ann Tan; Ricardo Shirota Filho; Rick Siow Mong Goh (ICDM (Workshops), 2024)

Sentence-level Prompts Benefit Composed Image Retrieval. - Yang Bai; Xinxing Xu; Yong Liu 026; Salman Khan 001; Fahad Khan 001; Wangmeng Zuo; Rick Siow Mong Goh; Chun-Mei Feng 001 (ICLR, 2024)

TTCR: Accurate TCR-Epitope Binding Affinity Prediction Using Transformers. - Manna Dai; Yonghui Wu; Jun Zhou 014; Zhenzhou Wu; Mengren Man; Linh Le Dinh; Joyjit Chattoraj; Feng Yang 011; My Ha Dao; Yong Liu 026; Rick Siow Mong Goh (CAI, 2024)

Machine Learning-Based Radiomic Features for Glioblastoma Overall Survival Prediction. - Ankit Das; Kee Yen Cheng; Yong Liu 026; Rick Siow Mong Goh; Feng Yang 011 (CAI, 2024)

Category-Aware Test-Time Training Domain Adaptation. - Yangqin Feng; Xinxing Xu; Huazhu Fu; Yan Wang 015; Zizhou Wang; Liangli Zhen; Rick Siow Mong Goh; Yong Liu 026 (CAI, 2024)

Cost-Sensitive Distribution Alignment for Improving Automated Medical Diagnosis Using Retinal Fundus Photography. - Yangqin Feng; Xinxing Xu; Zizhou Wang; Yan Wang 015; Huazhu Fu; Shaohua Li 003; Liangli Zhen; Tien-En Tan; Mukharram M. Bikbov; Jost B. Jonas; Chee Wai Wong; Ching-Yu Cheng; et al. (CAI, 2024)

Unveiling the Potential of ChatGPT in Detecting Machine Unauditable Bugs in Smart Contracts: A Preliminary Evaluation and Categorization. - Bo Gao; Qingsong Wei; Yong Liu 026; Rick Siow Mong Goh (CAI, 2024)

Split Learning of Multi-Modal Medical Image Classification. - Bishwamittra Ghosh; Yuan Wang 008; Huazhu Fu; Qingsong Wei; Yong Liu 026; Rick Siow Mong Goh (CAI, 2024)

Fed-SHARC: Resilient Decentralized Federated Learning based on Reward driven Clustering. - Renuga Kanagavelu; Chris George Anil; Yuan Wang 008; Huazhu Fu; Qingsong Wei; Yong Liu 026; Rick Siow Mong Goh (CAI, 2024)

SegMAE-Net: A Hybrid Method Using Masked Autoencoders for Consistent 3D Medical Image Segmentation. - Zheng Kai Liaw; Ankit Das; Shaista Hussain; Feng Yang 011; Yong Liu 026; Rick Siow Mong Goh (CAI, 2024)

Learning Task-Specific Initialization for Effective Federated Continual Fine-Tuning of Foundation Model Adapters. - Danni Peng; Yuan Wang 008; Huazhu Fu; Qingsong Wei; Yong Liu 026; Rick Siow Mong Goh (CAI, 2024)

Llama-TCR: Generate De Novo TCR with Large Language Model. - Jun Zhou 014; Zhenzhou Wu; Mengren Man; Yonghui Wu; Linh Le Dinh; Manna Dai; Yong Liu 026; Rick Siow Mong Goh (CAI, 2024)

MedSynth: Leveraging Generative Model for Healthcare Data Sharing. - Renuga Kanagavelu; Madhav Walia; Yuan Wang 008; Huazhu Fu; Qingsong Wei; Yong Liu 026; Rick Siow Mong Goh (MICCAI (12), 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 026; Ching-Yu Cheng (OMIA@MICCAI, 2024)

Multi-Scale Region-Aware Implicit Neural Network for Medical Images Matting. - Yanyu Xu; Yingzhi Xia; Huazhu Fu; Rick Siow Mong Goh; Yong Liu 026; Xinxing Xu (MICCAI (9), 2024)

A New Perspective to Boost Performance Fairness For Medical Federated Learning. - Yunlu Yan; Lei Zhu 003; Yuexiang Li; Xinxing Xu; Rick Siow Mong Goh; Yong Liu 026; Salman H. Khan 001; Chun-Mei Feng 001 (MICCAI (10), 2024)

UrFound: Towards Universal Retinal Foundation Models via Knowledge-Guided Masked Modeling. - Kai Yu 009; Yang Zhou 017; Yang Bai; Zhi Da Soh; Xinxing Xu; Rick Siow Mong Goh; Ching-Yu Cheng; Yong Liu 026 (MICCAI (12), 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 026; Liangli Zhen (MICCAI (3), 2024)

Partially Supervised Unpaired Multi-modal Learning for Label-Efficient Medical Image Segmentation. - Lei Zhu 003; Yanyu Xu; Huazhu Fu; Xinxing Xu; Rick Siow Mong Goh; Yong Liu 026 (MLMI@MICCAI (2), 2024)

Class Balance Matters to Active Class-Incremental Learning. - Zitong Huang; Ze Chen; Yuanze Li; Bowen Dong; Erjin Zhou; Yong Liu 026; Rick Siow Mong Goh; Chun-Mei Feng 001; Wangmeng Zuo (ACM Multimedia, 2024)

How Interpretable are Reasoning Explanations from Prompting Large Language Models? - Wei Jie Yeo; Ranjan Satapathy; Rich Siow Mong Goh; Erik Cambria (NAACL-HLT (Findings), 2024)

BenchX: A Unified Benchmark Framework for Medical Vision-Language Pretraining on Chest X-Rays. - Yang Zhou 017; Tan Li Hui Faith; Yanyu Xu; Sicong Leng; Xinxing Xu; Yong Liu 026; Rick Siow Mong Goh (NeurIPS, 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 026; Chun-Mei Feng 001; Wangmeng Zuo (CoRR, 2024)

Training-free image style alignment for self-adapting domain shift on handheld ultrasound devices. - Hongye Zeng; Ke Zou; Zhihao Chen 004; Yuchong Gao; Hongbo Chen; Haibin Zhang; Kang Zhou 001; Meng Wang 001; Rick Siow Mong Goh; Yong Liu 026; Chang Jiang; Rui Zheng; et al. (CoRR, 2024)

Don't Forget What I did?: Assessing Client Contributions in Federated Learning. - Bishwamittra Ghosh; Debabrota Basu; Huazhu Fu; Yuan Wang 008; Renuga Kanagavelu; Jiang Jin Peng; Yong Liu 026; Rick Siow Mong Goh; Qingsong Wei (CoRR, 2024)

CPT: Consistent Proxy Tuning for Black-box Optimization. - Yuanyang He; Zitong Huang; Xinxing Xu; Rick Siow Mong Goh; Salman Khan 001; Wangmeng Zuo; Yong Liu 026; Chun-Mei Feng 001 (CoRR, 2024)

BriDe Arbitrager: Enhancing Arbitrage in Ethereum 2.0 via Bribery-enabled Delayed Block Production. - Hulin Yang; Mingzhe Li; Jin Zhang 001; Alia Asheralieva; Qingsong Wei; Rich Siow Mong Goh (CoRR, 2024)

From Generalist to Specialist: Adapting Vision Language Models via Task-Specific Visual Instruction Tuning. - Yang Bai; Yang Zhou 017; Jun Zhou 014; Rick Siow Mong Goh; Daniel Shu Wei Ting; Yong Liu 026 (CoRR, 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 026; Rich Siow Mong Goh (CoRR, 2024)

Global Challenge for Safe and Secure LLMs Track 1. - Xiaojun Jia; Yihao Huang 001; Yang Liu 003; Peng Yan Tan; Weng Kuan Yau; Mun-Thye Mak; Xin Ming Sim; Wee Siong Ng; See-Kiong Ng; Hanqing Liu; Lifeng Zhou; Huanqian Yan; et al. (CoRR, 2024)

Privacy-Preserving Federated Foundation Model for Generalist Ultrasound Artificial Intelligence. - Yuncheng Jiang 002; Chun-Mei Feng 001; Jinke Ren; Jun Wei 006; Zixun Zhang; Yiwen Hu 001; Yunbi Liu; Rui Sun; Xuemei Tang; Juan Du; Xiang Wan; Yong Xu 001; et al. (CoRR, 2024)

EDCompress: Energy-Aware Model Compression for Dataflows. - Zhehui Wang; Tao Luo 014; Rick Siow Mong Goh; Joey Tianyi Zhou (IEEE Trans. Neural Networks Learn. Syst., 2024)

RCT: Resource Constrained Training for Edge AI. - Tian Huang; Tao Luo 014; Ming Yan 007; Joey Tianyi Zhou; Rick Siow Mong Goh (IEEE Trans. Neural Networks Learn. Syst., 2024)

Efficient Spiking Neural Networks With Radix Encoding. - Zhehui Wang; Xiaozhe Gu; Rick Siow Mong Goh; Joey Tianyi Zhou; Tao Luo 014 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Geometric Correspondence-Based Multimodal Learning for Ophthalmic Image Analysis. - Yan Wang 015; 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; et al. (IEEE Trans. Medical Imaging, 2024)

MedNAS: Multiscale Training-Free Neural Architecture Search for Medical Image Analysis. - Yan Wang 015; Liangli Zhen; Jianwei Zhang 016; Miqing Li; Lei Zhang 005; Zizhou Wang; Yangqin Feng; Yu Xue 003; Xiao Wang 004; Zheng Chen 012; Tao Luo 014; Rich Siow Mong Goh; et al. (IEEE Trans. Evol. Comput., 2024)

Optimizing for In-Memory Deep Learning With Emerging Memory Technology. - Zhehui Wang; Tao Luo 014; Rick Siow Mong Goh; Wei Zhang 012; Weng-Fai Wong (IEEE Trans. Neural Networks Learn. Syst., 2024)

VQA4CIR: Boosting Composed Image Retrieval with Visual Question Answering. - Chun-Mei Feng 001; Yang Bai; Tao Luo 014; Zhen Li 026; Salman H. Khan 001; Wangmeng Zuo; Rick Siow Mong Goh; Yong Liu 026 (AAAI, 2025)

Look Back for More: Harnessing Historical Sequential Updates for Personalized Federated Adapter Tuning. - Danni Peng; Yuan Wang 008; Huazhu Fu; Jinpeng Jiang; Yong Liu 026; Rick Siow Mong Goh; Qingsong Wei (AAAI, 2025)

Optimizing Neural Networks with Learnable Non-Linear Activation Functions via Lookup-Based FPGA Acceleration. - Mengyuan Yin; Benjamin Chen Ming Choong; Chuping Qu; Rick Siow Mong Goh; Weng-Fai Wong; Tao Luo 014 (ICCAD, 2025)

Federated Residual Low-Rank Adaptation of Large Language Models. - Yunlu Yan; Chun-Mei Feng 001; Wangmeng Zuo; Rick Siow Mong Goh; Yong Liu 026; Lei Zhu 003 (ICLR, 2025)

AdvMIM: Adversarial Masked Image Modeling for Semi-supervised Medical Image Segmentation. - Lei Zhu 003; Jun Zhou 014; Rick Siow Mong Goh; Yong Liu 026 (MICCAI (16), 2025)

MaskedCLIP: Bridging the Masked and CLIP Space for Semi-supervised Medical Vision-Language Pre-training. - Lei Zhu 003; Jun Zhou 014; Rick Siow Mong Goh; Yong Liu 026 (MedAGI, 2025)

Ad2Mix: Adversarial and Adaptive Mixup for Unsupervised Domain Adaptation. - Lei Zhu 003; Yanyu Xu; Yong Liu 026; Rick Siow Mong Goh; Xinxing Xu (WACV, 2025)

Self-distillation with model averaging. - Xiaozhe Gu; Zixun Zhang; Ran Jin; Rick Siow Mong Goh; Tao Luo 014 (Inf. Sci., 2025)

Semi-rPPG: Semi-Supervised Remote Physiological Measurement With Curriculum Pseudo-Labeling. - Bingjie Wu; Zitong Yu; Yiping Xie; Wei Liu 129; Chaoqi Luo; Yong Liu 026; Rick Siow Mong Goh (IEEE Trans. Instrum. Meas., 2025)

Are Traditional Deep Learning Model Approaches as Effective as a Retinal-Specific Foundation Model for Ocular and Systemic Disease Detection? - Samantha Min Er Yew; Xiaofeng Lei; Jocelyn Hui Lin Goh; Yibing Chen; Sahana Srinivasan; Miao-li Chee; Krithi Pushpanathan; Ke Zou; Qingshan Hou; Zhi Da Soh; Cancan Xue; Marco Chak Yan Yu; et al. (CoRR, 2025)

Generative Image Reconstruction From Gradients. - Ekanut Sotthiwat; Liangli Zhen; Chi Zhang 007; Zengxiang Li; Rick Siow Mong Goh (IEEE Trans. Neural Networks Learn. Syst., 2025)

Semi-rPPG: Semi-Supervised Remote Physiological Measurement with Curriculum Pseudo-Labeling. - Bingjie Wu; Zitong Yu; Yiping Xie; Wei Liu 010; Chaoqi Luo; Yong Liu 026; Rick Siow Mong Goh (CoRR, 2025)

AiRacleX: Automated Detection of Price Oracle Manipulations via LLM-Driven Knowledge Mining and Prompt Generation. - Bo Gao; Yuan Wang 008; Qingsong Wei; Yong Liu 026; Rick Siow Mong Goh; David Lo 001 (CoRR, 2025)

Enabling Energy-Efficient Deployment of Large Language Models on Memristor Crossbar: A Synergy of Large and Small. - Zhehui Wang; Tao Luo 014; Cheng Liu 008; Weichen Liu; Rick Siow Mong Goh; Weng-Fai Wong (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Reliable Federated Disentangling Network for Non-IID Domain Feature. - Meng Wang 038; Kai Yu 009; Chun-Mei Feng 001; Yiming Qian; Ke Zou; Lianyu Wang; Rick Siow Mong Goh; Xinxing Xu; Yong Liu 026; Huazhu Fu (IEEE Trans. Big Data, 2025)

Training-Free Image Style Alignment for Domain Shift on Handheld Ultrasound Devices. - Hongye Zeng; Ke Zou; Zhihao Chen 004; Yuchong Gao; Hongbo Chen; Haibin Zhang; Kang Zhou 001; Meng Wang 038; Chang Jiang; Rick Siow Mong Goh; Yong Liu 026; Chengcheng Zhu; et al. (IEEE Trans. Medical Imaging, 2025)

An integrated language-vision foundation model for conversational diagnostics and triaging in primary eye care. - Zhi Da Soh; Yang Bai; Kai Yu 009; Yang Zhou 017; Xiaofeng Lei; Sahil Thakur; Zann Lee; Lee Ching Linette Phang; Qingsheng Peng; Cancan Xue; Rachel Chong; Quan V. Hoang; et al. (CoRR, 2025)

Multimodal, Multi-Disease Medical Imaging Foundation Model (MerMED-FM). - Yang Zhou 017; Chrystie Wan Ning Quek; Jun Zhou 014; Yan Wang 015; Yang Bai; Yuhe Ke; Jie Yao; Laura Gutierrez; Zhen Ling Teo; Darren Shu Jeng Ting; Brian T. Soetikno; Christopher S. Nielsen; et al. (CoRR, 2025)

Continuous Disentangled Joint Space Learning for Domain Generalization. - Zizhou Wang; Yan Wang 015; Yangqin Feng; Jiawei Du; Yong Liu 026; Rick Siow Mong Goh; Liangli Zhen (IEEE Trans. Neural Networks Learn. Syst., 2025)

Improving Learning of New Diseases through Knowledge-Enhanced Initialization for Federated Adapter Tuning. - Danni Peng; Yuan Wang 008; Kangning Cai; Peiyan Ning; Jiming Xu; Yong Liu 026; Rick Siow Mong Goh; Qingsong Wei; Huazhu Fu (CoRR, 2025)

Diffusion-Enhanced Test-Time Adaptation with Text and Image Augmentation. - Chun-Mei Feng 001; Yuanyang He; Jian Zou 005; Salman H. Khan 001; Huan Xiong; Zhen Li 026; Wangmeng Zuo; Rick Siow Mong Goh; Yong Liu 026 (Int. J. Comput. Vis., 2025)

Federated Pseudo Modality Generation for Incomplete Multi-Modal MRI Reconstruction. - Yunlu Yan; Chun-Mei Feng 001; Yuexiang Li; Ping Li 016; Rick Siow Mong Goh; Baiying Lei; Weiming Wang 002; David Dagan Feng; Lei Zhu 003 (IEEE J. Biomed. Health Informatics, 2025)

EVLF-FM: Explainable Vision Language Foundation Model for Medicine. - Yang Bai; Haoran Cheng; Yang Zhou 017; Jun Zhou 014; Arun Thirunavukarasu; Yuhe Ke; Jie Yao; Kanae Fukutsu; Chrystie Wan Ning Quek; Ashley Hong; Laura Gutierrez; Zhen Ling Teo; et al. (CoRR, 2025)

Text to Image for Multi-Label Image Recognition With Joint Prompt-Adapter Learning. - Chun-Mei Feng 001; Kai Yu 009; Xinxing Xu; Salman Khan 001; Rick Siow Mong Goh; Wangmeng Zuo; Yong Liu 026 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Toward Reliable Medical Image Segmentation by Modeling Evidential Calibrated Uncertainty. - Ke Zou; Yidi Chen; Ling Huang 003; Nan Zhou; Xuedong Yuan; Xiaojing Shen; Meng Wang 038; Rick Siow Mong Goh; Yong Liu 026; Yih Chung Tham; Huazhu Fu (IEEE Trans. Cybern., 2025)

N-BEATS-GAN: A risk-aware financial time series forecasting with generative adversarial networks. - Manna Dai; Mao Yu Seow; Ricardo Shirota Filho; Alex Sclip; Kavilash Chawla; Rick Siow Mong Goh; Joyjit Chattoraj (Appl. Soft Comput., 2026)

Is quantum optimization ready? An effort towards neural network compression using adiabatic quantum computing. - Zhehui Wang; Benjamin Chen Ming Choong; Tian Huang; Daniel Gerlinghoff; Rick Siow Mong Goh; Cheng Liu 008; Tao Luo 014 (Future Gener. Comput. Syst., 2026)