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2020 – today
- 2023
[j96]Xue Jiang, Lubin Meng, Siyang Li, Dongrui Wu:
Active poisoning: efficient backdoor attacks on transfer learning-based brain-computer interfaces. Sci. China Inf. Sci. 66(8) (2023)- [j95]Yongduan Song, Dongrui Wu, Carlos A. Coello Coello, Georgios N. Yannakakis, Huajin Tang, Yiu-ming Cheung, Hussein A. Abbass:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 18(1): 17-19 (2023) - [j94]Dongrui Wu
, Ruimin Peng, Jerry M. Mendel:
Type-1 and Interval Type-2 Fuzzy Systems [AI- eXplained]. IEEE Comput. Intell. Mag. 18(1): 81-83 (2023) - [j93]Yongduan Song, Dongrui Wu, Carlos A. Coello Coello, Georgios N. Yannakakis, Huajin Tang, Yiu-Ming Cheung, Hussein A. Abbass:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 18(2): 13-15 (2023) - [j92]Yongduan Song, Dongrui Wu, Carlos A. Coello Coello, Georgios N. Yannakakis, Huajin Tang, Yiu-Ming Cheung, Hussein A. Abbass:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 18(3): 10-86 (2023) - [j91]Yongduan Song, Dongrui Wu, Carlos A. Coello Coello, Georgios N. Yannakakis, Huajin Tang, Yiu-Ming Cheung, Hussein A. Abbass:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 18(4): 10-12 (2023) - [j90]Lubin Meng, Xue Jiang, Dongrui Wu:
Adversarial robustness benchmark for EEG-based brain-computer interfaces. Future Gener. Comput. Syst. 143: 231-247 (2023) - [j89]Changming Zhao, Dongrui Wu, Jian Huang, Ye Yuan, Hai-Tao Zhang, Ruimin Peng, Zhenhua Shi:
BoostTree and BoostForest for Ensemble Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8110-8126 (2023) - [j88]Dongrui Wu, Bao-Liang Lu, Bin Hu, Zhigang Zeng:
Affective Brain-Computer Interfaces (aBCIs): A Tutorial. Proc. IEEE 111(10): 1314-1332 (2023) - [j87]Wen Zhang, Dongrui Wu:
Lightweight Source-Free Transfer for Privacy-Preserving Motor Imagery Classification. IEEE Trans. Cogn. Dev. Syst. 15(2): 938-949 (2023) - [j86]Yuanpeng Zhang, Kaijian Xia, Yizhang Jiang, Pengjiang Qian, Weiwei Cai, Chengyu Qiu, Khin Wee Lai, Dongrui Wu:
Multi-Modality Fusion & Inductive Knowledge Transfer Underlying Non-Sparse Multi-Kernel Learning and Distribution Adaption. IEEE ACM Trans. Comput. Biol. Bioinform. 20(4): 2387-2397 (2023) - [j85]Kun Xia, Wlodzislaw Duch, Yu Sun, Kedi Xu, Weili Fang, Hanbin Luo, Yi Zhang, Dong Sang, Xiaodong Xu, Fei-Yue Wang, Dongrui Wu:
Privacy-Preserving Brain-Computer Interfaces: A Systematic Review. IEEE Trans. Comput. Soc. Syst. 10(5): 2312-2324 (2023) - [j84]Yuqi Cui, Yifan Xu, Ruimin Peng, Dongrui Wu:
Layer Normalization for TSK Fuzzy System Optimization in Regression Problems. IEEE Trans. Fuzzy Syst. 31(1): 254-264 (2023) - [c73]Dongrui Wu:
Accurate, Secure and Privacy-Preserving Brain-Computer Interfaces: Keynote Address. ICIS 2023: 1 - [c72]Dongrui Wu, Yinghui Wang, Xiaojun Wu:
Program Chair Message. ICIS 2023: x - [c71]Ruimin Peng, Changming Zhao, Yifan Xu, Jun Jiang, Guangtao Kuang, Jianbo Shao, Dongrui Wu:
WAVELET2VEC: A Filter Bank Masked Autoencoder for EEG-Based Seizure Subtype Classification. ICASSP 2023: 1-5 - [c70]Jiayu An, Changming Zhao, Dongrui Wu:
Semi-Supervised Generalized Source-Free Domain Adaptation (SSG-SFDA). IJCNN 2023: 1-8 - [c69]Yifan Xu, Lubin Meng, Ruimin Peng, Yingjie Yin, Jingting Ding, Liang Li, Dongrui Wu:
Cross-Modal Diversity-Based Active Learning for Multi-Modal Emotion Estimation. IJCNN 2023: 1-8 - [e1]Yuan Liu, Roger Lee, Wei Fang, Fanzhang Li, Shitong Wang, Dongrui Wu, Yinghui Wang, Xiajun Wu:
23rd IEEE/ACIS International Conference on Computer and Information Science, ICIS 2023, Wuxi, China, June 23-25, 2023. IEEE 2023, ISBN 979-8-3503-4584-1 [contents] - [i68]Haoyi Xiong, Xuhong Li, Boyang Yu, Zhanxing Zhu, Dongrui Wu, Dejing Dou:
Doubly Stochastic Models: Learning with Unbiased Label Noises and Inference Stability. CoRR abs/2304.00320 (2023) - [i67]Zhenbang Du, Jiayu An, Jiahao Hong, Dongrui Wu:
Mixture-of-Experts for Open Set Domain Adaptation: A Dual-Space Detection Approach. CoRR abs/2311.00285 (2023) - 2022
- [j83]Weili Fang, Dongrui Wu, Peter E. D. Love, Lieyun Ding, Hanbin Luo:
Physiological computing for occupational health and safety in construction: Review, challenges and implications for future research. Adv. Eng. Informatics 54: 101729 (2022) - [j82]Rui Bian, Lubin Meng, Dongrui Wu:
SSVEP-based brain-computer interfaces are vulnerable to square wave attacks. Sci. China Inf. Sci. 65(4) (2022) - [j81]Siyang Li, Huanyu Wu, Lieyun Ding, Dongrui Wu:
Meta-Learning for Fast and Privacy-Preserving Source Knowledge Transfer of EEG-Based BCIs. IEEE Comput. Intell. Mag. 17(4): 16-26 (2022) - [j80]Hong Mo, Yinghui Meng, Fei-Yue Wang, Dongrui Wu:
Interval Type-2 Fuzzy Hierarchical Adaptive Cruise Following-Control for Intelligent Vehicles. IEEE CAA J. Autom. Sinica 9(9): 1658-1672 (2022) - [j79]Haoran Liu, Haoyi Xiong, Yaqing Wang, Haozhe An, Dejing Dou, Dongrui Wu:
Exploring the common principal subspace of deep features in neural networks. Mach. Learn. 111(3): 1125-1157 (2022) - [j78]Lili Tang, Jialiang Xie, Dongrui Wu:
An interval type-2 fuzzy edge detection and matrix coding approach for color image adaptive steganography. Multim. Tools Appl. 81(27): 39145-39167 (2022) - [j77]Dongrui Wu, Xue Jiang, Ruimin Peng:
Transfer learning for motor imagery based brain-computer interfaces: A tutorial. Neural Networks 153: 235-253 (2022) - [j76]Jialiang Xie, Shanli Zhang, Honghui Wang, Dongrui Wu:
Gray wolf optimization-based self-organizing fuzzy multi-objective evolution algorithm. Soft Comput. 26(22): 12077-12092 (2022) - [j75]Dongrui Wu, Jian Huang:
Affect Estimation in 3D Space Using Multi-Task Active Learning for Regression. IEEE Trans. Affect. Comput. 13(1): 16-27 (2022) - [j74]Yifan Xu, Yuqi Cui, Xue Jiang, Yingjie Yin, Jingting Ding, Liang Li, Dongrui Wu:
Inconsistency-Based Multi-Task Cooperative Learning for Emotion Recognition. IEEE Trans. Affect. Comput. 13(4): 2017-2027 (2022) - [j73]Dongrui Wu, Yifan Xu, Bao-Liang Lu:
Transfer Learning for EEG-Based Brain-Computer Interfaces: A Review of Progress Made Since 2016. IEEE Trans. Cogn. Dev. Syst. 14(1): 4-19 (2022) - [j72]Kun Xia, Lingfei Deng, Wlodzislaw Duch, Dongrui Wu:
Privacy-Preserving Domain Adaptation for Motor Imagery-Based Brain-Computer Interfaces. IEEE Trans. Biomed. Eng. 69(11): 3365-3376 (2022) - [j71]Jialiang Xie, Honghui Wang, Jonathan M. Garibaldi, Dongrui Wu:
Network Intrusion Detection Based on Dynamic Intuitionistic Fuzzy Sets. IEEE Trans. Fuzzy Syst. 30(9): 3460-3472 (2022) - [j70]Jialiang Xie, Honghui Wang, Dongrui Wu:
Adaptive Image Steganography Using Fuzzy Enhancement and Grey Wolf Optimizer. IEEE Trans. Fuzzy Syst. 30(11): 4953-4964 (2022) - [j69]Cheng Chen, Jian Huang, Dongrui Wu, Xikai Tu:
Interval Type-2 Fuzzy Disturbance Observer-Based T-S Fuzzy Control for a Pneumatic Flexible Joint. IEEE Trans. Ind. Electron. 69(6): 5962-5972 (2022) - [c68]Siyang Li, Yifan Xu, Huanyu Wu, Dongrui Wu, Yingjie Yin, Jiajiong Cao, Jingting Ding:
Facial Expression Recognition In-the-Wild with Deep Pre-trained Models. ECCV Workshops (6) 2022: 181-190 - [i66]Yuqi Cui, Dongrui Wu, Xue Jiang, Yifan Xu:
PyTSK: A Python Toolbox for TSK Fuzzy Systems. CoRR abs/2206.03310 (2022) - [i65]Siyang Li, Yifan Xu, Huanyu Wu, Dongrui Wu, Yingjie Yin, Jiajiong Cao, Jingting Ding:
Facial Affect Analysis: Learning from Synthetic Data & Multi-Task Learning Challenges. CoRR abs/2207.09748 (2022) - [i64]Xiaoqing Chen, Dongrui Wu:
Adversarial Artifact Detection in EEG-Based Brain-Computer Interfaces. CoRR abs/2212.00727 (2022) - 2021
- [j68]Zhenhua Shi, Dongrui Wu, Chenfeng Guo, Changming Zhao, Yuqi Cui, Fei-Yue Wang:
FCM-RDpA: TSK fuzzy regression model construction using fuzzy C-means clustering, regularization, Droprule, and Powerball Adabelief. Inf. Sci. 574: 490-504 (2021) - [j67]Haiyan Jiang, Haoyi Xiong, Dongrui Wu, Ji Liu, Dejing Dou:
AgFlow: fast model selection of penalized PCA via implicit regularization effects of gradient flow. Mach. Learn. 110(8): 2131-2150 (2021) - [j66]Pei Yan, Yihua Tan, Yuan Tai, Dongrui Wu, Hanbin Luo, Xiaolong Hao:
Unsupervised learning framework for interest point detection and description via properties optimization. Pattern Recognit. 112: 107808 (2021) - [j65]Ziang Liu, Xue Jiang, Hanbin Luo, Weili Fang, Jiajing Liu, Dongrui Wu:
Pool-based unsupervised active learning for regression using iterative representativeness-diversity maximization (iRDM). Pattern Recognit. Lett. 142: 11-19 (2021) - [j64]Zhongzheng Fu, Xinrun He, Enkai Wang, Jun Huo, Jian Huang, Dongrui Wu:
Personalized Human Activity Recognition Based on Integrated Wearable Sensor and Transfer Learning. Sensors 21(3): 885 (2021) - [j63]Lili Tang, Dongrui Wu, Honghui Wang, Mingzhi Chen, Jia-Liang Xie:
An adaptive fuzzy inference approach for color image steganography. Soft Comput. 25(16): 10987-11004 (2021) - [j62]Yizhang Jiang, Xiaoqing Gu, Dongrui Wu, Wenlong Hang, Jing Xue, Shi Qiu, Chin-Teng Lin:
A Novel Negative-Transfer-Resistant Fuzzy Clustering Model With a Shared Cross-Domain Transfer Latent Space and its Application to Brain CT Image Segmentation. IEEE ACM Trans. Comput. Biol. Bioinform. 18(1): 40-52 (2021) - [j61]Xiaotong Gu, Zehong Cao, Alireza Jolfaei, Peng Xu, Dongrui Wu, Tzyy-Ping Jung, Chin-Teng Lin:
EEG-Based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and Their Applications. IEEE ACM Trans. Comput. Biol. Bioinform. 18(5): 1645-1666 (2021) - [j60]Chin-Teng Lin, Chun-Hsiang Chuang, Yu-Chia Hung, Chieh-Ning Fang, Dongrui Wu, Yu-Kai Wang:
A Driving Performance Forecasting System Based on Brain Dynamic State Analysis Using 4-D Convolutional Neural Networks. IEEE Trans. Cybern. 51(10): 4959-4967 (2021) - [j59]Yurui Ming, Dongrui Wu, Yu-Kai Wang, Yuhui Shi, Chin-Teng Lin:
EEG-Based Drowsiness Estimation for Driving Safety Using Deep Q-Learning. IEEE Trans. Emerg. Top. Comput. Intell. 5(4): 583-594 (2021) - [j58]Chao Chen, Dongrui Wu, Jonathan M. Garibaldi, Robert I. John, Jamie Twycross, Jerry M. Mendel:
A Comprehensive Study of the Efficiency of Type-Reduction Algorithms. IEEE Trans. Fuzzy Syst. 29(6): 1556-1566 (2021) - [j57]Xinyu Yang, Yuan Zhang, Benny Lo, Dongrui Wu, Hongen Liao, Yuan-Ting Zhang:
DBAN: Adversarial Network With Multi-Scale Features for Cardiac MRI Segmentation. IEEE J. Biomed. Health Informatics 25(6): 2018-2028 (2021) - [j56]Yizhang Jiang, Yuanpeng Zhang, Chuang Lin, Dongrui Wu, Chin-Teng Lin:
EEG-Based Driver Drowsiness Estimation Using an Online Multi-View and Transfer TSK Fuzzy System. IEEE Trans. Intell. Transp. Syst. 22(3): 1752-1764 (2021) - [c67]Xueliang Quan, Dongrui Wu, Mengliang Zhu, Kun Xia, Lingfei Deng:
Manifold Discriminative Transfer Learning for Unsupervised Domain Adaptation. ICONIP (2) 2021: 321-334 - [c66]Xiao Zhang, Haoyi Xiong, Dongrui Wu:
Rethink the Connections among Generalization, Memorization, and the Spectral Bias of DNNs. IJCAI 2021: 3392-3398 - [c65]Yuqi Cui, Dongrui Wu, Yifan Xu:
Curse of Dimensionality for TSK Fuzzy Neural Networks: Explanation and Solutions. IJCNN 2021: 1-8 - [c64]Xue Jiang, Lubin Meng, Dongrui Wu:
Multi-Task Active Learning for Simultaneous Emotion Classification and Regression. SMC 2021: 1947-1952 - [i63]Dongrui Wu, Weili Fang, Yi Zhang, Liuqing Yang, Xiaodong Xu, Hanbin Luo, Xiang Yu:
Adversarial Attacks and Defenses in Physiological Computing: A Systematic Review. CoRR abs/2102.02729 (2021) - [i62]Yuqi Cui, Dongrui Wu, Yifan Xu:
Curse of Dimensionality for TSK Fuzzy Neural Networks: Explanation and Solutions. CoRR abs/2102.04271 (2021) - [i61]Xiao Zhang, Dongrui Wu, Haoyi Xiong, Bo Dai:
Optimization Variance: Exploring Generalization Properties of DNNs. CoRR abs/2106.01714 (2021) - [i60]Haoran Liu, Haoyi Xiong, Yaqing Wang, Haozhe An, Dongrui Wu, Dejing Dou:
Exploring the Common Principal Subspace of Deep Features in Neural Networks. CoRR abs/2110.02863 (2021) - [i59]Haiyan Jiang, Haoyi Xiong, Dongrui Wu, Ji Liu, Dejing Dou:
AgFlow: Fast Model Selection of Penalized PCA via Implicit Regularization Effects of Gradient Flow. CoRR abs/2110.03273 (2021) - 2020
- [j55]Na Yue, Dongrui Wu, Jia-Liang Xie, Shuili Chen:
Probabilistic linguistic multi-criteria decision-making based on double information under imperfect conditions. Fuzzy Optim. Decis. Mak. 19(4): 391-433 (2020) - [j54]Cheng Cheng, Beitong Zhou, Guijun Ma, Dongrui Wu, Ye Yuan:
Wasserstein distance based deep adversarial transfer learning for intelligent fault diagnosis with unlabeled or insufficient labeled data. Neurocomputing 409: 35-45 (2020) - [j53]Yuan Wang, Jian Huang, Dongrui Wu, Zhi-Hong Guan, Yan-Wu Wang:
Set-Membership filtering with incomplete observations. Inf. Sci. 517: 37-51 (2020) - [j52]Yurui Ming, Danilo Pelusi, Chieh-Ning Fang, Mukesh Prasad, Yu-Kai Wang, Dongrui Wu, Chin-Teng Lin:
EEG data analysis with stacked differentiable neural computers. Neural Comput. Appl. 32(12): 7611-7621 (2020) - [j51]Xin Song, Pengjiang Qian, Jiamin Zheng, Yizhang Jiang, Kaijian Xia, Bryan J. Traughber, Dongrui Wu, Raymond F. Muzic Jr.:
mDixon-based synthetic CT generation via transfer and patch learning. Pattern Recognit. Lett. 138: 51-59 (2020) - [j50]He He, Dongrui Wu:
Transfer Learning for Brain-Computer Interfaces: A Euclidean Space Data Alignment Approach. IEEE Trans. Biomed. Eng. 67(2): 399-410 (2020) - [j49]Dongrui Wu, Ye Yuan, Jian Huang, Yihua Tan:
Optimize TSK Fuzzy Systems for Regression Problems: Minibatch Gradient Descent With Regularization, DropRule, and AdaBound (MBGD-RDA). IEEE Trans. Fuzzy Syst. 28(5): 1003-1015 (2020) - [j48]Dongrui Wu, Xianfeng Tan:
Multitasking Genetic Algorithm (MTGA) for Fuzzy System Optimization. IEEE Trans. Fuzzy Syst. 28(6): 1050-1061 (2020) - [j47]Dongrui Wu, Jerry M. Mendel:
Patch Learning. IEEE Trans. Fuzzy Syst. 28(9): 1996-2008 (2020) - [j46]Parham Mohsenzadeh Kebria, Abbas Khosravi, Saeid Nahavandi, Dongrui Wu, Fernando Bello:
Adaptive Type-2 Fuzzy Neural-Network Control for Teleoperation Systems With Delay and Uncertainties. IEEE Trans. Fuzzy Syst. 28(10): 2543-2554 (2020) - [j45]Dongrui Wu, Chin-Teng Lin, Jian Huang, Zhigang Zeng:
On the Functional Equivalence of TSK Fuzzy Systems to Neural Networks, Mixture of Experts, CART, and Stacking Ensemble Regression. IEEE Trans. Fuzzy Syst. 28(10): 2570-2580 (2020) - [j44]Yuqi Cui, Dongrui Wu, Jian Huang:
Optimize TSK Fuzzy Systems for Classification Problems: Minibatch Gradient Descent With Uniform Regularization and Batch Normalization. IEEE Trans. Fuzzy Syst. 28(12): 3065-3075 (2020) - [j43]Jian Huang, Junzhe Wang, Yihua Tan, Dongrui Wu, Yu Cao:
An Automatic Analog Instrument Reading System Using Computer Vision and Inspection Robot. IEEE Trans. Instrum. Meas. 69(9): 6322-6335 (2020) - [c63]Lei Wang, Jian Huang, Dongrui Wu, Tao Duan, Rui Zong, Shicong Jiang:
Hand Gesture Recognition Based on Multi-Classification Adaptive Neuro-Fuzzy Inference System and pMMG. ICARM 2020: 460-465 - [c62]Xiao Zhang, Dongrui Wu:
Empirical Studies on the Properties of Linear Regions in Deep Neural Networks. ICLR 2020 - [c61]Ziang Liu, Dongrui Wu:
Integrating Informativeness, Representativeness and Diversity in Pool-Based Sequential Active Learning for Regression. IJCNN 2020: 1-7 - [c60]Zhenhua Shi, Dongrui Wu, Jian Huang, Yu-Kai Wang, Chin-Teng Lin:
Supervised Discriminative Sparse PCA with Adaptive Neighbors for Dimensionality Reduction. IJCNN 2020: 1-8 - [c59]Dongrui Wu, Chenfeng Guo, Feifei Liu, Chengyu Liu:
Active Stacking for Heart Rate Estimation. IJCNN 2020: 1-8 - [c58]Wen Zhang, Dongrui Wu:
Discriminative Joint Probability Maximum Mean Discrepancy (DJP-MMD) for Domain Adaptation. IJCNN 2020: 1-8 - [i58]Xiao Zhang, Dongrui Wu:
Empirical Studies on the Properties of Linear Regions in Deep Neural Networks. CoRR abs/2001.01072 (2020) - [i57]Yurui Ming, Dongrui Wu, Yu-Kai Wang, Yuhui Shi, Chin-Teng Lin:
EEG-based Drowsiness Estimation for Driving Safety using Deep Q-Learning. CoRR abs/2001.02399 (2020) - [i56]Zhenhua Shi, Dongrui Wu, Jian Huang, Yu-Kai Wang, Chin-Teng Lin:
Supervised Discriminative Sparse PCA with Adaptive Neighbors for Dimensionality Reduction. CoRR abs/2001.03103 (2020) - [i55]Ziang Liu, Dongrui Wu:
Unsupervised Pool-Based Active Learning for Linear Regression. CoRR abs/2001.05028 (2020) - [i54]Xiaotong Gu, Zehong Cao, Alireza Jolfaei, Peng Xu, Dongrui Wu, Tzyy-Ping Jung, Chin-Teng Lin:
EEG-based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and their Applications. CoRR abs/2001.11337 (2020) - [i53]Xiao Zhang, Dongrui Wu, Lieyun Ding, Hanbin Luo, Chin-Teng Lin, Tzyy-Ping Jung:
Tiny Noise Can Make an EEG-Based Brain-Computer Interface Speller Output Anything. CoRR abs/2001.11569 (2020) - [i52]Yuqi Cui, Huidong Wang, Dongrui Wu:
Supervised Enhanced Soft Subspace Clustering (SESSC) for TSK Fuzzy Classifiers. CoRR abs/2002.12404 (2020) - [i51]Dongrui Wu:
MBGD-RDA Training and Rule Pruning for Concise TSK Fuzzy Regression Models. CoRR abs/2003.00608 (2020) - [i50]Ziang Liu, Hanbin Luo, Weili Fang, Jiajing Liu, Dongrui Wu:
Pool-Based Unsupervised Active Learning for Regression Using Iterative Representativeness-Diversity Maximization (iRDM). CoRR abs/2003.07658 (2020) - [i49]Changming Zhao, Dongrui Wu, Jian Huang, Ye Yuan, Hai-Tao Zhang:
BoostTree and BoostForest for Ensemble Learning. CoRR abs/2003.09737 (2020) - [i48]Ziang Liu, Dongrui Wu:
Integrating Informativeness, Representativeness and Diversity in Pool-Based Sequential Active Learning for Regression. CoRR abs/2003.11786 (2020) - [i47]Dongrui Wu, Yifan Xu, Bao-Liang Lu:
Transfer Learning for EEG-Based Brain-Computer Interfaces: A Review of Progresses Since 2016. CoRR abs/2004.06286 (2020) - [i46]Xiao Zhang, Dongrui Wu:
Rethink the Connections among Generalization, Memorization and the Spectral Bias of DNNs. CoRR abs/2004.13954 (2020) - [i45]Dongrui Wu, Ruimin Peng, Jian Huang, Zhigang Zeng:
Transfer Learning for Brain-Computer Interfaces: A Complete Pipeline. CoRR abs/2007.03746 (2020) - [i44]Wen Zhang, Lingfei Deng, Dongrui Wu:
Overcoming Negative Transfer: A Survey. CoRR abs/2009.00909 (2020) - [i43]Lubin Meng, Jian Huang, Zhigang Zeng, Xue Jiang, Shan Yu, Tzyy-Ping Jung, Chin-Teng Lin, Ricardo Chavarriaga, Dongrui Wu:
EEG-Based Brain-Computer Interfaces Are Vulnerable to Backdoor Attacks. CoRR abs/2011.00101 (2020) - [i42]Zhenhua Shi, Dongrui Wu, Chenfeng Guo, Changming Zhao, Yuqi Cui, Fei-Yue Wang:
FCM-RDpA: TSK Fuzzy Regression Model Construction Using Fuzzy C-Means Clustering, Regularization, DropRule, and Powerball AdaBelief. CoRR abs/2012.00060 (2020)
2010 – 2019
- 2019
- [j42]Zihan Liu, Bo Huang, Yuqi Cui, Yifan Xu, Bo Zhang, Lixia Zhu, Yang Wang, Lei Jin, Dongrui Wu:
Multi-Task Deep Learning With Dynamic Programming for Embryo Early Development Stage Classification From Time-Lapse Videos. IEEE Access 7: 122153-122163 (2019) - [j41]Bo Zhang, Yuqi Cui, Meng Wang, Jingjing Li, Lei Jin, Dongrui Wu:
In Vitro Fertilization (IVF) Cumulative Pregnancy Rate Prediction From Basic Patient Characteristics. IEEE Access 7: 130460-130467 (2019) - [j40]Yurui Ming, Weiping Ding, Danilo Pelusi, Dongrui Wu, Yu-Kai Wang, Mukesh Prasad, Chin-Teng Lin:
Subject adaptation network for EEG data analysis. Appl. Soft Comput. 84 (2019) - [j39]Dongrui Wu, Jerry M. Mendel:
Recommendations on designing practical interval type-2 fuzzy systems. Eng. Appl. Artif. Intell. 85: 182-193 (2019) - [j38]Dongrui Wu, Chin-Teng Lin, Jian Huang:
Active learning for regression using greedy sampling. Inf. Sci. 474: 90-105 (2019) - [j37]Zhaohong Deng, Jie Lu, Dongrui Wu, Kup-Sze Choi, Shiliang Sun, Yusuke Nojima:
Guest Editorial: Special Issue on New Advances in Deep-Transfer Learning. IEEE Trans. Emerg. Top. Comput. Intell. 3(5): 357-359 (2019) - [j36]Dongrui Wu, Jerry M. Mendel:
Similarity Measures for Closed General Type-2 Fuzzy Sets: Overview, Comparisons, and a Geometric Approach. IEEE Trans. Fuzzy Syst. 27(3): 515-526 (2019) - [j35]Te Zhang, Zhaohong Deng, Dongrui Wu, Shitong Wang:
Multiview Fuzzy Logic System With the Cooperation Between Visible and Hidden Views. IEEE Trans. Fuzzy Syst. 27(6): 1162-1173 (2019) - [j34]Dongrui Wu, Hai-Tao Zhang, Jian Huang:
A Constrained Representation Theorem for Well-Shaped Interval Type-2 Fuzzy Sets, and the Corresponding Constrained Uncertainty Measures. IEEE Trans. Fuzzy Syst. 27(6): 1237-1251 (2019) - [j33]Dongrui Wu:
Pool-Based Sequential Active Learning for Regression. IEEE Trans. Neural Networks Learn. Syst. 30(5): 1348-1359 (2019) - [c57]Binglin Wang, Wei Li,