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Viewing Publication 1 - 100 from 194

2025

Incentive Mechanism Design for Multi-Round Federated Learning With a Single BudgetZhihao Ren, Xinglin Zhang, Wing W. Y. Ng, Junna Zhang. tnse, 12(1):198-209, January - February 2025. [doi]

2024

SBHA: Sensitive Binary Hashing Autoencoder for Image RetrievalTing Wang 0015, Su Lu, Jianjun Zhang 0004, Xuyu Liu, Xing Tian, Wing W. Y. Ng, Wei-neng Chen. tcyb, 54(7):3954-3967, July 2024. [doi]

Semantic dependency and local convolution for enhancing naturalness and tone in text-to-speech synthesisChenglong Jiang, Ying Gao 0004, Wing W. Y. Ng, Jiyong Zhou, Jinghui Zhong, Hongzhong Zhen, Xiping Hu 0001. ijon, 608:128430, 2024. [doi]

Fastmandarin: Efficient Local Modeling for Natural Mandarin Speech SynthesisChenglong Jiang, Ying Gao, Hao Jin, Linrong Pan, Wing W. Y. Ng. icassp 2024: 461-465 [doi]

Self-Supervised Temporal Sensitive Hashing for Video RetrievalQihua Li, Xing Tian, Wing W. Y. Ng. tmm, 26:9021-9035, 2024. [doi]

Low-rank matrix recovery with total generalized variation for defending adversarial examplesWen Li, Hengyou Wang, Lianzhi Huo, Qiang He 0003, Linlin Chen, Zhiquan He, Wing W. Y. Ng. jzusc, 25(3):432-445, March 2024. [doi]

HRadNet: A Hierarchical Radiomics-Based Network for Multicenter Breast Cancer Molecular Subtypes PredictionYinhao Liang, Wenjie Tang, Ting Wang, Wing W. Y. Ng, Siyi Chen, Kuiming Jiang, Xinhua Wei, Xinqing Jiang, Yuan Guo. tmi, 43(3):1225-1236, March 2024. [doi]

Lightweight multimodal Cycle-Attention Transformer towards cancer diagnosisShicong Liu, Xin Ma, Shenyang Deng, Yuanchi Suo, Jianjun Zhang 0004, Wing W. Y. Ng. eswa, 255:124616, 2024. [doi]

Improving domain generalization by hybrid domain attention and localized maximum sensitivityWing W. Y. Ng, Qin Zhang, Cankun Zhong, Jianjun Zhang. NN, 171:320-331, 2024. [doi]

Deep supervised fused similarity hashing for cross-modal retrievalWing W. Y. Ng, Yongzhi Xu, Xing Tian, Hui Wang 0001. mta, 83(39):86537-86555, November 2024. [doi]

BASS: Broad Network Based on Localized Stochastic SensitivityTing Wang, Mingyang Zhang, Jianjun Zhang 0004, Wing W. Y. Ng, C. L. Philip Chen. tnn, 35(2):1681-1695, February 2024. [doi]

Weakly Supervised Object Localization with Background Suppression Erasing for Art Authentication and Copyright ProtectionChaoJie Wu, Mingyang Li, Ying Gao 0004, Xinyan Xie, Wing W. Y. Ng, Ahmad Musyafa. ijautcomp, 21(1):89-103, February 2024. [doi]

Multi-modal video search by examples - A video quality impact analysisGuanfeng Wu, Abbas Haider, Xing Tian, Erfan Loweimi, Chi-Ho Chan, Mengjie Qian, Muhammad Junaid Awan, Ivor T. A. Spence, Rob Cooper, Wing W. Y. Ng, Josef Kittler, Mark J. F. Gales, Hui Wang 0001. iet-cvi, 18(7):1017-1033, October 2024. [doi]

Fog-Enabled Privacy-Preserving Multi-Task Data Aggregation for Mobile CrowdsensingXingfu Yan, Wing W. Y. Ng, Bowen Zhao, Yuxian Liu, Ying Gao 0004, Xiumin Wang. tdsc, 21(3):1301-1316, May - June 2024. [doi]

A Mathematics Framework of Artificial Shifted Population Risk and Its Further Understanding Related to Consistency RegularizationXiliang Yang, Shenyang Deng, Shicong Liu, Yuanchi Suo, Wing W. Y. Ng, Jianjun Zhang 0004. pkdd 2024: 73-88 [doi]

2023

Evaluation of radial basis function neural network minimizing L-GEM for sensor-based activity recognitionShuai Zhang 0001, Wing W. Y. Ng, Jianjun Zhang 0004, Chris D. Nugent, Naomi Irvine, Ting Wang. jaihc, 14(1):53-63, 2023. [doi]

AERF: Adaptive ensemble random fuzzy algorithm for anomaly detection in cloud computingJun Jiang 0003, Fagui Liu, Wing W. Y. Ng, Quan Tang 0001, Guoxiang Zhong, Xuhao Tang, Bin Wang 0048. comcom, 200:86-94, February 2023. [doi]

Perturbation-based oversampling technique for imbalanced classification problemsJianjun Zhang 0004, Ting Wang, Wing W. Y. Ng, Witold Pedrycz. mlc, 14(3):773-787, March 2023. [doi]

KNNENS: A k-Nearest Neighbor Ensemble-Based Method for Incremental Learning Under Data Stream With Emerging New ClassesJianjun Zhang 0004, Ting Wang, Wing W. Y. Ng, Witold Pedrycz. tnn, 34(11):9520-9527, November 2023. [doi]

SeDepTTS: Enhancing the Naturalness via Semantic Dependency and Local Convolution for Text-to-Speech SynthesisChenglong Jiang, Ying Gao, Wing W. Y. Ng, Jiyong Zhou, Jinghui Zhong, Hongzhong Zhen. AAAI 2023: 12959-12967 [doi]

Length adaptive hashing for semi-supervised semantic image retrievalSi-chao Lei, Xing Tian, Wing W. Y. Ng, Yue-jiao Gong. mta, 82(24):38165-38187, October 2023. [doi]

Population-Based Hyperparameter Tuning With Multitask CollaborationWendi Li, Ting Wang, Wing W. Y. Ng. tnn, 34(9):5719-5731, September 2023. [doi]

Multiscale echo self-attention memory network for multivariate time series classificationHuizi Lyu, Desen Huang, Sen Li, Wing W. Y. Ng, Qianli Ma. ijon, 520:60-72, 2023. [doi]

A Lightweight and Efficient Model for Audio Anti-SpoofingQiaowei Ma, Jinghui Zhong, Yitao Yang, Weiheng Liu, Ying Gao, Wing W. Y. Ng. mmasia 2023: [doi]

LSSED: A Robust Segmentation Network for Inflamed Appendix from CT ImagesWing W. Y. Ng, Peixin Zheng, Ting Wang, Jianjun Zhang, Yinhao Liang, Hui Zhou, Dan Liang, Guangming Li, Xinhua Wei. icassp 2023: 1-5 [doi]

Multi-object tracking for horse racingWing W. Y. Ng, Xuyu Liu, Xuli Yan, Xing Tian, Cankun Zhong, Sam Kwong. isci, 638:118967, August 2023. [doi]

Deep Incremental Hashing for Semantic Image Retrieval With Concept DriftXing Tian, Wing W. Y. Ng, Huihui Xu. tbd, 9(4):1102-1115, August 2023. [doi]

Moisture Content Prediction of Sugi Wood Drying Using Deep LSTM AE Minimizing Perturbed ErrorTing Wang, Wing W. Y. Ng, Mingyang Zhang, Xueli Zhang, Jianjun Zhang, Mingcong Deng. SMC 2023: 3756-3762 [doi]

Knowledge Distillation Hashing for Occluded Face RetrievalYuxiang Yang, Xing Tian, Wing W. Y. Ng, Ying Gao 0004. tmm, 25:9096-9107, 2023. [doi]

Generative face inpainting hashing for occluded face retrievalYuxiang Yang, Xing Tian, Wing W. Y. Ng, Ran Wang, Ying Gao 0004, Sam Kwong. mlc, 14(5):1725-1738, May 2023. [doi]

Unsupervised Multi-Hashing for Image Retrieval in Non-stationary EnvironmentsYi Yang, Qihua Li, Xing Tian, Wing W. Y. Ng, Hui Wang 0001, Josef Kittler, Mark Gales, Rob Cooper. icaci 2023: 1-6 [doi]

Robust recurrent neural networks for time series forecastingXueli Zhang, Cankun Zhong, Jianjun Zhang 0004, Ting Wang, Wing W. Y. Ng. ijon, 526:143-157, March 2023. [doi]

A Robust Frequency-Domain-Based Graph Adaptive Network for Parkinson's Disease Detection From Gait DataCankun Zhong, Wing W. Y. Ng. tmm, 25:7076-7088, 2023. [doi]

2022

Dynamic Incremental Ensemble Fuzzy Classifier for Data Streams in Green Internet of ThingsJun Jiang 0003, Fagui Liu, Wing W. Y. Ng, Quan Tang 0001, Weizheng Wang, Quoc-Viet Pham. tgcn, 6(3):1316-1329, 2022. [doi]

Stochastic Sensitivity Regularized Autoencoder for Robust Feature LearningJianjun Zhang 0004, Ting Wang, Wing W. Y. Ng, Witold Pedrycz, Sam Kwong. IEEEicci 2022: 9-15 [doi]

Ensembling perturbation-based oversamplers for imbalanced datasetsJianjun Zhang 0004, Ting Wang, Wing W. Y. Ng, Witold Pedrycz. ijon, 479:1-11, 2022. [doi]

An Intelligent Interaction Framework for Teleoperation Based on Human-Machine CooperationGuanglong Du, Yongda Deng, Wing W. Y. Ng, Di Li 0001. thms, 52(5):963-972, 2022. [doi]

Enhanced Local and Global Learning for Rotation-Invariant Point Cloud RepresentationRuibin Gu, Qiuxia Wu, Yuqiong Li, Wenxiong Kang, Wing W. Y. Ng, Zhiyong Wang 0001. ieeemm, 29(4):24-37, 2022. [doi]

Multi-Objective Two-Echelon City Dispatching Problem With Mobile Satellites and Crowd-ShippingYulin Lan, Fagui Liu, Wing W. Y. Ng, Mengke Gui, Chengqi Lai. tits, 23(9):15340-15353, 2022. [doi]

Two-Echelon Dispatching Problem With Mobile Satellites in City LogisticsYulin Lan, Fa-Gui Liu, Zhixing Huang, Wing W. Y. Ng, Jinghui Zhong. tits, 23(1):84-96, 2022. [doi]

Hashing-based affinity matrix for dominant set clusteringQihua Li, Xing Tian, Wing W. Y. Ng, Marcello Pelillo. ijon, 501:544-554, 2022. [doi]

Recent development of hashing-based image retrieval in non-stationary environmentsQihua Li, Xing Tian, Wing W. Y. Ng, Sam Kwong. mlc, 13(12):3867-3886, 2022. [doi]

Difference-Guided Representation Learning Network for Multivariate Time-Series ClassificationQianli Ma, Zipeng Chen, Shuai Tian, Wing W. Y. Ng. tcyb, 52(6):4717-4727, 2022. [doi]

Multi-Localized Sensitive Autoencoder-Attention-LSTM For Skeleton-based Action RecognitionWing W. Y. Ng, Mingyang Zhang, Ting Wang. tmm, 24:1678-1690, 2022. [doi]

Bit-wise attention deep complementary supervised hashing for image retrievalWing W. Y. Ng, Jiayong Li, Xing Tian, Hui Wang 0001. mta, 81(1):927-951, 2022. [doi]

Hashing-Based Undersampling Ensemble for Imbalanced Pattern Classification ProblemsWing W. Y. Ng, Shichao Xu, Jianjun Zhang 0004, Xing Tian, Tongwen Rong, Sam Kwong. tcyb, 52(2):1269-1279, 2022. [doi]

An automatic framework for perioperative risks classification from retinal images of complex congenital heart disease patientsWing W. Y. Ng, Haicong Liang, Qingsheng Peng, Cankun Zhong, Xinran Dong, Zhongning Huang, Pingting Zhong, Cong Li, Minghui Xu, Yunxia Sun, Honghua Yu, Xiaohong Yang. mlc, 13(2):471-483, 2022. [doi]

Hashing-based Undersampling for Large Scale Histopathology Image ClassificationXing Tian, Lin Qiu, Qihua Li, Wing W. Y. Ng, Jianjun Zhang 0004, Sam Kwong, Hui Wang, Xinran Dong, Baoyi Liu, Yijun Hu, Honghua Yu. IEEEicci 2022: 221-228 [doi]

A Deep Clustering via Automatic Feature Embedded Learning for Human Activity RecognitionTing Wang, Wing W. Y. Ng, Jinde Li, Qiuxia Wu, Shuai Zhang 0001, Chris D. Nugent, Colin Shewell. tcsv, 32(1):210-223, 2022. [doi]

2SIM: Privacy-Preserving and Source-Reliable Incentive Mechanism for Mobile CrowdsensingXingfu Yan, Wing W. Y. Ng, Biao Zeng, Bowen Zhao, Fucai Luo, Ying Gao 0004. iotj, 9(24):25424-25437, 2022. [doi]

A Sensitivity-based Pruning Method for Convolutional Neural NetworksCankun Zhong, Yang He, Yifei An, Wing W. Y. Ng, Ting Wang. SMC 2022: 1032-1038 [doi]

2021

Causative label flip attack detection with data complexity measuresPatrick P. K. Chan, Zhi-Min He, Xian Hu, Eric C. C. Tsang, Daniel S. Yeung, Wing W. Y. Ng. mlc, 12(1):103-116, 2021. [doi]

A stochastic sensitivity-based multi-objective optimization method for short-term wind speed interval predictionXuanqun Chen, Chun Sing Lai, Wing W. Y. Ng, Keda Pan, Loi Lei Lai, Cankun Zhong. mlc, 12(9):2579-2590, 2021. [doi]

Learning Efficient Rotation Representation for Point Cloud via Local-Global AggregationRuibin Gu, Qiuxia Wu, Hongbin Xu, Wing W. Y. Ng, Zhiyong Wang 0001. icmcs 2021: 1-6 [doi]

ERINet: Enhanced rotation-invariant network for point cloud classificationRuibin Gu, Qiuxia Wu, Wing W. Y. Ng, Hongbin Xu, Zhiyong Wang 0001. prl, 151:180-186, 2021. [doi]

A deep learning based hybrid method for hourly solar radiation forecastingChun Sing Lai, Cankun Zhong, Keda Pan, Wing W. Y. Ng, Loi Lei Lai. eswa, 177:114941, 2021. [doi]

Decomposition Based Multi-Objective Variable Neighborhood Descent Algorithm for Logistics DispatchingYulin Lan, Fagui Liu, Wing W. Y. Ng, Jun Zhang 0003, Mengke Gui. tetci, 5(5):826-839, 2021. [doi]

HELP: An LSTM-based approach to hyperparameter exploration in neural network learningWendi Li, Wing W. Y. Ng, Ting Wang, Marcello Pelillo, Sam Kwong. ijon, 442:161-172, 2021. [doi]

Convolutional Multitimescale Echo State NetworkQianli Ma, Enhuan Chen, Zhenxi Lin, Jiangyue Yan, Zhiwen Yu 0002, Wing W. Y. Ng. tcyb, 51(3):1613-1625, 2021. [doi]

Maximizing minority accuracy for imbalanced pattern classification problems using cost-sensitive Localized Generalization Error ModelWing W. Y. Ng, Zhengxi Liu, Jianjun Zhang 0004, Witold Pedrycz. asc, 104:107178, 2021. [doi]

Stochastic Sensitivity Tree Boosting for Imbalanced Prediction Problems of Protein-Ligand Interaction SitesWing W. Y. Ng, Yuda Zhang, Jianjun Zhang 0004, Debby Dan Wang, Fu Lee Wang. tetci, 5(3):373-383, 2021. [doi]

Concept Preserving Hashing for Semantic Image Retrieval With Concept DriftXing Tian, Wing W. Y. Ng, Hui Wang 0001. tcyb, 51(10):5184-5197, 2021. [doi]

Complementary Incremental Hashing With Query-Adaptive Re-Ranking for Image RetrievalXing Tian, Wing W. Y. Ng, Hui Wang 0001, Sam Kwong. tmm, 23:1210-1224, 2021. [doi]

Broad Autoencoder Features Learning for Classification ProblemTing Wang, Wing W. Y. Ng, Wendi Li, Sam Kwong. ijcini, 15(4):1-15, 2021. [doi]

LiSSA: Localized Stochastic Sensitive AutoencodersTing Wang, Wing W. Y. Ng, Marcello Pelillo, Sam Kwong. tcyb, 51(5):2748-2760, 2021. [doi]

D4Net: De-deformation defect detection network for non-rigid products with large patternsXuemiao Xu, Jiaxing Chen, Huaidong Zhang, Wing W. Y. Ng. isci, 547:763-776, 2021. [doi]

SALMNet: A Structure-Aware Lane Marking Detection NetworkXuemiao Xu, Tianfei Yu, Xiaowei Hu, Wing W. Y. Ng, Pheng-Ann Heng. tits, 22(8):4986-4997, 2021. [doi]

Verifiable, Reliable, and Privacy-Preserving Data Aggregation in Fog-Assisted Mobile CrowdsensingXingfu Yan, Wing W. Y. Ng, Biao Zeng, Changlu Lin, Yuxian Liu, Lu Lu 0011, Ying Gao 0004. iotj, 8(18):14127-14140, 2021. [doi]

2020

Minority Oversampling Using SensitivityJianjun Zhang 0004, Ting Wang, Wing W. Y. Ng, Witold Pedrycz, Shuai Zhang 0001, Chris D. Nugent. ijcnn 2020: 1-7 [doi]

Concurrent optimization of multiple base learners in neural network ensembles: An adaptive niching differential evolution approachTing Huang, Dan-Ting Duan, Yue-jiao Gong, Long Ye, Wing W. Y. Ng, Jun Zhang 0003. ijon, 396:24-38, 2020. [doi]

Neural Network Ensembles for Sensor-Based Human Activity Recognition Within Smart EnvironmentsNaomi Irvine, Chris D. Nugent, Shuai Zhang 0001, Hui Wang, Wing W. Y. Ng. sensors, 20(1):216, 2020. [doi]

Robust Neural Networks Learning via a Minimization of Stochastic Output SensitivityJincheng Li, Wing W. Y. Ng. access, 8:205455-205466, 2020. [doi]

Weighted multi-deep ranking supervised hashing for efficient image retrievalJiayong Li, Wing W. Y. Ng, Xing Tian, Sam Kwong, Hui Wang 0001. mlc, 11(4):883-897, 2020. [doi]

Radial Basis Function Neural Network with Localized Stochastic-Sensitive Autoencoder for Home-Based Activity RecognitionWing W. Y. Ng, Shichao Xu, Ting Wang, Shuai Zhang 0001, Chris D. Nugent. sensors, 20(5):1479, 2020. [doi]

Multi-Level Local Feature Coding Fusion for Music Genre RecognitionWing W. Y. Ng, Weijie Zeng, Ting Wang. access, 8:152713-152727, 2020. [doi]

Incremental hashing with sample selection using dominant setsWing W. Y. Ng, Xiaoxia Jiang, Xing Tian, Marcello Pelillo, Hui Wang 0001, Sam Kwong. mlc, 11(12):2689-2702, 2020. [doi]

Training error and sensitivity-based ensemble feature selectionWing W. Y. Ng, Yuxi Tuo, Jianjun Zhang 0004, Sam Kwong. mlc, 11(10):2313-2326, 2020. [doi]

Multi-level supervised hashing with deep features for efficient image retrievalWing W. Y. Ng, Jiayong Li, Xing Tian, Hui Wang 0001, Sam Kwong, Jonathan Wallace. ijon, 399:171-182, 2020. [doi]

Bootstrap dual complementary hashing with semi-supervised re-ranking for image retrievalXing Tian, Xiancheng Zhou, Wing W. Y. Ng, Jiayong Li, Hui Wang 0001. ijon, 379:103-116, 2020. [doi]

Within-class multimodal classificationHuan Wan, Hui Wang 0001, Bryan W. Scotney, Jun Liu 0001, Wing W. Y. Ng. mta, 79(39-40):29327-29352, 2020. [doi]

2019

New Appliance Detection for Nonintrusive Load MonitoringJianjun Zhang 0004, Xuanqun Chen, Wing W. Y. Ng, Chun Sing Lai, Loi Lei Lai. tii, 15(8):4819-4829, 2019. [doi]

Dual Denoising Autoencoder Feature Learning for Cancer DiagnosisYuqing Gao, Wing W. Y. Ng, Ting Wang, Sam Kwong. IEEEicci 2019: 366-371 [doi]

Incremental Hashing with UndersamplingXiaoxia Jiang, Wing W. Y. Ng, Xing Tian, Sam Kwong, Hui Wang. SMC 2019: 616-622 [doi]

A robust correlation analysis framework for imbalanced and dichotomous data with uncertaintyChun Sing Lai, Yingshan Tao, Fangyuan Xu, Wing W. Y. Ng, Youwei Jia, Haoliang Yuan, Chao Huang, Loi Lei Lai, Zhao Xu 0002, Giorgio Locatelli. isci, 470:58-77, 2019. [doi]

Multi-Task Learning With Localized Generalization Error ModelWendi Li, Yi Zhu, Ting Wang, Wing W. Y. Ng. icmlc 2019: 1-8 [doi]

Attention-based spatio-temporal dependence learning networkQianli Ma, Shuai Tian, Jia Wei, Jiabing Wang, Wing W. Y. Ng. isci, 503:92-108, 2019. [doi]

Global-Local Mutual Attention Model for Text ClassificationQianli Ma, Liuhong Yu, Shuai Tian, Enhuan Chen, Wing W. Y. Ng. taslp, 27(12):2127-2139, 2019. [doi]

Incremental Hash-Bit Learning for Semantic Image Retrieval in Nonstationary EnvironmentsWing W. Y. Ng, Xing Tian, Witold Pedrycz, Xizhao Wang, Daniel S. Yeung. tcyb, 49(11):3844-3858, 2019. [doi]

Cost-Sensitive Weighting and Imbalance-Reversed Bagging for Streaming Imbalanced and Concept Drifting in Electricity Pricing ClassificationWing W. Y. Ng, Jianjun Zhang 0004, Chun Sing Lai, Witold Pedrycz, Loi Lei Lai, Xizhao Wang. tii, 15(3):1588-1597, 2019. [doi]

Broad Autoencoder Features Learning for Pattern Classification ProblemsTing Wang, Wing W. Y. Ng, Wendi Li, Sam Kwong, Jingde Li. IEEEicci 2019: 130-135 [doi]

Undersampling Near Decision Boundary for Imbalance ProblemsJianjun Zhang, Ting Wang, Wing W. Y. Ng, Shuai Zhang 0001, Chris D. Nugent. icmlc 2019: 1-8 [doi]

2018

2017

Human Activity Recognition Using Radial Basis Function Neural Network Trained via a Minimization of Localized Generalization ErrorShuai Zhang 0001, Wing W. Y. Ng, Jianjun Zhang, Chris D. Nugent. ucami 2017: 498-507 [doi]

Feature Weighting for RBFNN Based on Genetic Algorithm and Localized Generalization Error ModelTianyu Chen, Ting Wang, Wing W. Y. Ng, Jianjun Zhang 0004. ithings 2017: 306-311 [doi]

No-Load Backhaul Ratio Reduction by Interactive Routing for Small Goods Delivery with Time Window ConstraintsZhiyan Huang, Zhixing Huang, Jiayong Li, Danxia Huang, Junxian Fan, Wing W. Y. Ng. ithings 2017: 299-305 [doi]

Bsmboost for imbalanced pattern classification problemsWing W. Y. Ng, Yuda Zhang, Jianjun Zhang. SMC 2017: 930-935 [doi]

Dual Denoising Autoencoder Features for Imbalance Classification ProblemsTing Wang, Guangjun Zeng, Wing W. Y. Ng, Jinde Li. ithings 2017: 312-317 [doi]

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