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2020 – today
- 2024
[j109]Yongduan Song
, Dongrui Wu, Carlos A. Coello Coello, Georgios N. Yannakakis, Huajin Tang, Yiu-ming Cheung:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 19(1): 24-77 (2024)- [j108]Yongduan Song, Dongrui Wu, Carlos A. Coello Coello, Georgios N. Yannakakis, Yiu-ming Cheung, Hussein A. Abbass:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 19(3): 9-11 (2024) - [j107]Yang Li, Dongrui Wu, Suhang Wang:
Future-generation attack and defense in neural networks. Future Gener. Comput. Syst. 152: 224 (2024) - [j106]Haoran Wang, Herui Zhang, Siyang Li, Dongrui Wu:
Gated parametric neuron for spike-based audio recognition. Neurocomputing 609: 128477 (2024) - [j105]Lubin Meng, Xue Jiang, Xiaoqing Chen, Wenzhong Liu, Hanbin Luo, Dongrui Wu:
Adversarial filtering based evasion and backdoor attacks to EEG-based brain-computer interfaces. Inf. Fusion 107: 102316 (2024) - [j104]Haoyi Xiong, Xuhong Li, Boyang Yu, Dongrui Wu, Zhanxing Zhu, Dejing Dou:
Stochastic gradient descent with random label noises: doubly stochastic models and inference stabilizer. Mach. Learn. Sci. Technol. 5(1): 15039 (2024) - [j103]Ziwei Wang, Siyang Li, Jingwei Luo, Jiajing Liu, Dongrui Wu:
Channel reflection: Knowledge-driven data augmentation for EEG-based brain-computer interfaces. Neural Networks 176: 106351 (2024) - [j102]Yifan Xu, Xue Jiang, Dongrui Wu:
Cross-Task Inconsistency Based Active Learning (CTIAL) for Emotion Recognition. IEEE Trans. Affect. Comput. 15(3): 1659-1668 (2024) - [j101]Changming Zhao, Ruimin Peng, Dongrui Wu:
Bagging and Boosting Fine-Tuning for Ensemble Learning. IEEE Trans. Artif. Intell. 5(4): 1728-1742 (2024) - [j100]Lingfei Deng, Changming Zhao, Zhenbang Du, Kun Xia, Dongrui Wu:
Semisupervised Transfer Boosting (SS-TrBoosting). IEEE Trans. Artif. Intell. 5(7): 3431-3444 (2024) - [j99]Siyang Li, Ziwei Wang, Hanbin Luo, Lieyun Ding, Dongrui Wu:
T-TIME: Test-Time Information Maximization Ensemble for Plug-and-Play BCIs. IEEE Trans. Biomed. Eng. 71(2): 423-432 (2024) - [j98]Xue Jiang, Lubin Meng, Ziwei Wang, Dongrui Wu:
Deep Source Semi-Supervised Transfer Learning (DS3TL) for Cross-Subject EEG Classification. IEEE Trans. Biomed. Eng. 71(4): 1308-1318 (2024) - [c80]Ying Chen, Qian Ma, Dongrui Wu:
Distributed Nash Equilibrium Seeking for Games with Nonlinear Players via Fuzzy Adaptive Control. FUZZ 2024: 1-8 - [c79]Shitao Zheng, Dongrui Wu:
Semi-Supervised Domain Adaptation for Eeg-Based Sleep Stage Classification. ICASSP 2024: 1776-1780 - [c78]Huanyu Wu, Siyang Li, Dongrui Wu:
TMMM: Transformer in Multimodal Sentiment Analysis under Missing Modalities. IJCNN 2024: 1-8 - [c77]Lingfei Deng, Yunong Wang, Haoran Wang, Xuhua Ma, Xiaoming Du, Xudong Zheng, Dongrui Wu:
Time-Aware Attention-Based Transformer (TAAT) for Cloud Computing System Failure Prediction. KDD 2024: 4906-4917 - 2023
- [j97]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) - [j96]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) - [j95]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) - [j94]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) - [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(3): 10-86 (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(4): 10-12 (2023) - [j91]Lubin Meng, Xue Jiang, Dongrui Wu:
Adversarial robustness benchmark for EEG-based brain-computer interfaces. Future Gener. Comput. Syst. 143: 231-247 (2023) - [j90]Wen Zhang, Lingfei Deng, Lei Zhang, Dongrui Wu:
A Survey on Negative Transfer. IEEE CAA J. Autom. Sinica 10(2): 305-329 (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) - [c76]Dongrui Wu:
Accurate, Secure and Privacy-Preserving Brain-Computer Interfaces: Keynote Address. ICIS 2023: 1 - [c75]Dongrui Wu, Yinghui Wang, Xiaojun Wu:
Program Chair Message. ICIS 2023: x - [c74]Wanning Sun, Xuhua Ma, Ruimin Peng, Yifan Xu, Dongrui Wu:
DARC: High-dimensional Diffusing Anomaly Detection and Root Cause Location in Cloud Computing Systems. IEEE Big Data 2023: 1970-1977 - [c73]Zhenyu Gong, Feisheng Yang, Dongrui Wu:
Zero-Sum Game Based Secure Tracking Control of UAV Against FDI Attacks Using Fixed-Time Convergent Reinforcement Learning. CDC 2023: 1841-1846 - [c72]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 - [c71]Jiayu An, Changming Zhao, Dongrui Wu:
Semi-Supervised Generalized Source-Free Domain Adaptation (SSG-SFDA). IJCNN 2023: 1-8 - [c70]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 - [c69]Zihao Dong, Jian Huang, Haoyuan Wang, Bo Yang, Dongrui Wu, Yaonan Zhu, Yasuhisa Hasegawa:
Deformable Object Manipulation Using Human Demonstration Enhanced Deep Deterministic Policy Gradient. MHS 2023: 1-6 - [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, Wenliang Fan, Xi Chen, Dongrui Wu:
Alzheimer's Disease Brain Network Classification Using Improved Transfer Feature Learning with Joint Distribution Adaptation. EMBC 2019: 2959-2963 - [c56]Cheng Chen, Jian Huang, Dongrui Wu:
Nonlinear Disturbance Observer Based T-S Fuzzy Logic Control of Pneumatic Artificial Muscles. ICARM 2019: 12-17 - [c55]Lubin Meng, Chin-Teng Lin, Tzyy-Ping Jung, Dongrui Wu:
White-Box Target Attack for EEG-Based BCI Regression Problems. ICONIP (1) 2019: 476-488 - [c54]He He, Dongrui Wu:
Channel and Trials Selection for Reducing Covariate Shift in EEG-based Brain-Computer Interfaces. SMC 2019: 3635-3640 - [c53]Xue Jiang, Xiao Zhang, Dongrui Wu:
Active Learning for Black-Box Adversarial Attacks in EEG-Based Brain-Computer Interfaces. SSCI 2019: 361-368 - [c52]Yifan Xu, Dongrui Wu:
EEG-Based Driver Drowsiness Estimation Using Self-Paced Learning with Label Diversity. SSCI 2019: 369-375 - [i41]Cheng Cheng, Beitong Zhou, Guijun Ma, Dongrui Wu, Ye Yuan:
Wasserstein Distance based Deep Adversarial Transfer Learning for Intelligent Fault Diagnosis. CoRR abs/1903.06753 (2019) - [i40]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. CoRR abs/1903.10572 (2019) - [i39]Dongrui Wu, Feifei Liu, Chengyu Liu:
Active Stacking for Heart Rate Estimation. CoRR abs/1903.10862 (2019) - [i38]Dongrui Wu, Ye Yuan, Yihua Tan:
Optimize TSK Fuzzy Systems for Big Data Regression Problems: Mini-Batch Gradient Descent with Regularization, DropRule and AdaBound (MBGD-RDA). CoRR abs/1903.10951 (2019) - [i37]Xiao Zhang, Dongrui Wu:
On the Vulnerability of CNN Classifiers in EEG-Based BCIs. CoRR abs/1904.01002 (2019) - [i36]Yu Cao, Jian Huang, Dongrui Wu, Mengshi Zhang, Caihua Xiong, Zhijun Li:
Integration of Nonlinear Disturbance Observer within Proxy-based Sliding Mode Control for Pneumatic Muscle Actuators. CoRR abs/1904.03570 (2019) - [i35]Dongrui Wu, Jerry M. Mendel:
Patch Learning. CoRR abs/1906.00158 (2019) - [i34]Anisha Agarwal, Rafael Dowsley, Nicholas D. McKinney, Dongrui Wu, Chin-Teng Lin, Martine De Cock, Anderson C. A. Nascimento:
Protecting Privacy of Users in Brain-Computer Interface Applications. CoRR abs/1907.01586 (2019) - [i33]Chenfeng Guo, Dongrui Wu:
Canonical Correlation Analysis (CCA) Based Multi-View Learning: An Overview. CoRR abs/1907.01693 (2019) - [i32]Dongrui Wu, Jerry M. Mendel:
Recommendations on Designing Practical Interval Type-2 Fuzzy Systems. CoRR abs/1907.01697 (2019) - [i31]Yuqi Cui, Dongrui Wu:
Optimize TSK Fuzzy Systems for Big Data Classification Problems: Bag of Tricks. CoRR abs/1908.00636 (2019) - [i30]Zhenhua Shi, Xiaomo Chen, Changming Zhao, He He, Veit Stuphorn, Dongrui Wu:
Multi-View Broad Learning System for Primate Oculomotor Decision Decoding. CoRR abs/1908.06180 (2019) - [i29]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. CoRR abs/1908.09637 (2019) - [i28]Yuqi Cui, Yifan Xu, Dongrui Wu:
EEG-Based Driver Drowsiness Estimation Using Feature Weighted Episodic Training. CoRR abs/1909.11456 (2019) - [i27]Wen Zhang, Dongrui Wu:
Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces. CoRR abs/1910.05878 (2019) - [i26]Bo Zhang, Yuqi Cui, Meng Wang, Jingjing Li, Lei Jin, Dongrui Wu:
In Vitro Fertilization (IVF) Cumulative Pregnancy Rate Prediction from Basic Patient Characteristics. CoRR abs/1911.03839 (2019) - [i25]Xue Jiang, Xiao Zhang, Dongrui Wu:
Active Learning for Black-Box Adversarial Attacks in EEG-Based Brain-Computer Interfaces. CoRR abs/1911.04338 (2019) - [i24]Lubin Meng, Chin-Teng Lin, Tzyy-Ping Jung, Dongrui Wu:
White-Box Target Attack for EEG-Based BCI Regression Problems. CoRR abs/1911.04606 (2019) - [i23]Wen Zhang, Dongrui Wu:
Transferability versus Discriminability: Joint Probability Distribution Adaptation (JPDA). CoRR abs/1912.00320 (2019) - [i22]He He, Dongrui Wu:
Different Set Domain Adaptation for Brain-Computer Interfaces: A Label Alignment Approach. CoRR abs/1912.01166 (2019) - [i21]Zihan Liu, Xiao Zhang, Dongrui Wu:
Universal Adversarial Perturbations for CNN Classifiers in EEG-Based BCIs. CoRR abs/1912.01171 (2019) - 2018
- [j32]Jian Huang, Xiaochao Chen, Dongrui Wu:
A Switch-Mode Firefly Algorithm for Global Optimization. IEEE Access 6: 54177-54184 (2018) - [j31]Dongrui Wu, Jung-Tai King, Chun-Hsiang Chuang, Chin-Teng Lin, Tzyy-Ping Jung:
Spatial Filtering for EEG-Based Regression Problems in Brain-Computer Interface (BCI). IEEE Trans. Fuzzy Syst. 26(2): 771-781 (2018) - [j30]Jian Huang, MyongHyok Ri, Dongrui Wu, Songhyok Ri:
Interval Type-2 Fuzzy Logic Modeling and Control of a Mobile Two-Wheeled Inverted Pendulum. IEEE Trans. Fuzzy Syst. 26(4): 2030-2038 (2018) - [j29]Chao Chen, Dongrui Wu, Jonathan M. Garibaldi, Robert I. John, Jamie Twycross, Jerry M. Mendel:
A Comment on "A Direct Approach for Determining the Switch Points in the Karnik-Mendel Algorithm". IEEE Trans. Fuzzy Syst. 26(6): 3905-3907 (2018) - [c51]Anisha Agarwal, Rafael Dowsley, Nicholas D. McKinney, Dongrui Wu, Chin-Teng Lin, Martine De Cock, Anderson C. A. Nascimento:
Privacy-Preserving Linear Regression for Brain-Computer Interface Applications. IEEE BigData 2018: 5277-5278 - [c50]Yurui Ming, Yu-Kai Wang, Mukesh Prasad, Dongrui Wu, Chin-Teng Lin:
Sustained Attention Driving Task Analysis based on Recurrent Residual Neural Network using EEG Data. FUZZ-IEEE 2018: 1-6 - [c49]Xiang Huang, Hai-Tao Zhang, Dongrui Wu, Lijun Zhu:
Interval Type-2 Fuzzy Control of Pneumatic Muscle Actuator. ICIRA (1) 2018: 423-431 - [c48]He He, Dongrui Wu:
Spatial Filtering for Brain Computer Interfaces: A Comparison between the Common Spatial Pattern and Its Variant. ICSPCC 2018: 1-6 - [i20]Yuqi Cui, Xiao Zhang, Yang Wang, Chenfeng Guo, Dongrui Wu:
OMG - Emotion Challenge Solution. CoRR abs/1805.00348 (2018) - [i19]Dongrui Wu:
Pool-Based Sequential Active Learning for Regression. CoRR abs/1805.04735 (2018) - [i18]Dongrui Wu, Vernon J. Lawhern, Stephen M. Gordon, Brent J. Lance, Chin-Teng Lin:
Offline EEG-Based Driver Drowsiness Estimation Using Enhanced Batch-Mode Active Learning (EBMAL) for Regression. CoRR abs/1805.04737 (2018) - [i17]Dongrui Wu, Vernon J. Lawhern, Stephen M. Gordon, Brent J. Lance, Chin-Teng Lin:
Agreement Rate Initialized Maximum Likelihood Estimator for Ensemble Classifier Aggregation and Its Application in Brain-Computer Interface. CoRR abs/1805.04740 (2018) - [i16]Dongrui Wu:
Active Semi-supervised Transfer Learning (ASTL) for Offline BCI Calibration. CoRR abs/1805.05781 (2018) - [i15]Te Zhang, Zhaohong Deng, Dongrui Wu, Shitong Wang:
Multi-View Fuzzy Logic System with the Cooperation between Visible and Hidden Views. CoRR abs/1807.08595 (2018) - [i14]Chenfeng Guo, Dongrui Wu:
Feature Dimensionality Reduction for Video Affect Classification: A Comparative Study. CoRR abs/1808.02956 (2018) - [i13]Dongrui Wu, Jian Huang:
Affect Estimation in 3D Space Using Multi-Task Active Learning for Regression. CoRR abs/1808.04244 (2018) - [i12]Dongrui Wu, Chin-Teng Lin, Jian Huang:
Active Learning for Regression Using Greedy Sampling. CoRR abs/1808.04245 (2018) - [i11]He He, Dongrui Wu:
Transfer Learning for Brain-Computer Interfaces: An Euclidean Space Data Alignment Approach. CoRR abs/1808.05464 (2018) - [i10]Yang Wang, Dongrui Wu:
Real-time fMRI-based Brain Computer Interface: A Review. CoRR abs/1808.05852 (2018) - [i9]He He, Dongrui Wu:
Transfer Learning Enhanced Common Spatial Pattern Filtering for Brain Computer Interfaces (BCIs): Overview and a New Approach. CoRR abs/1808.05853 (2018) - [i8]He He, Dongrui Wu:
Spatial Filtering for Brain Computer Interfaces: A Comparison between the Common Spatial Pattern and Its Variant. CoRR abs/1808.06533 (2018) - [i7]Yuqi Cui, Dongrui Wu:
EEG-Based Driver Drowsiness Estimation Using Convolutional Neural Networks. CoRR abs/1809.00929 (2018) - [i6]Dongrui Wu, Xianfeng Tan:
Multi-Tasking Evolutionary Algorithm (MTEA) for Single-Objective Continuous Optimization. CoRR abs/1812.06303 (2018) - 2017
- [j28]Hao Xu, Dongrui Wu, Li-Ning Xing, Lan Huang:
The talent planning model and empirical research to the key disciplines in science and technology. Clust. Comput. 20(4): 3275-3286 (2017) - [j27]Dongrui Wu, Brent J. Lance, Vernon J. Lawhern:
Guest Editorial for the Special Section on Brain Computer Interface (BCI). IEEE Trans. Fuzzy Syst. 25(1): 1-2 (2017) - [j26]Jerry M. Mendel, Dongrui Wu:
Critique of "A New Look at Type-2 Fuzzy Sets and Type-2 Fuzzy Logic Systems". IEEE Trans. Fuzzy Syst. 25(3): 725-727 (2017) - [j25]Dongrui Wu, Vernon J. Lawhern, Stephen M. Gordon, Brent J. Lance, Chin-Teng Lin:
Driver Drowsiness Estimation From EEG Signals Using Online Weighted Adaptation Regularization for Regression (OwARR). IEEE Trans. Fuzzy Syst. 25(6): 1522-1535 (2017) - [j24]Dongrui Wu:
Online and Offline Domain Adaptation for Reducing BCI Calibration Effort. IEEE Trans. Hum. Mach. Syst. 47(4): 550-563 (2017) - [c47]He He, Dongrui Wu:
Transfer Learning Enhanced Common Spatial Pattern Filtering for Brain Computer Interfaces (BCIs): Overview and a New Approach. ICONIP (2) 2017: 811-821 - [c46]Yuqi Cui, Dongrui Wu:
EEG-Based Driver Drowsiness Estimation Using Convolutional Neural Networks. ICONIP (2) 2017: 822-832 - [c45]Yang Wang, Dongrui Wu:
Real-Time fMRI-Based Brain Computer Interface: A Review. ICONIP (2) 2017: 833-842 - [c44]Dongrui Wu:
Active semi-supervised transfer learning (ASTL) for offline BCI calibration. SMC 2017: 246-251 - [c43]Yu-Cheng Chang, Yu-Kai Wang, Dongrui Wu, Chin-Teng Lin:
Generating a fuzzy rule-based brain-state-drift detector by riemann-metric-based clustering. SMC 2017: 1220-1225 - [i5]Dongrui Wu:
Online and Offline Domain Adaptation for Reducing BCI Calibration Effort. CoRR abs/1702.02897 (2017) - [i4]Dongrui Wu, Vernon J. Lawhern, Stephen M. Gordon, Brent J. Lance, Chin-Teng Lin:
Driver Drowsiness Estimation from EEG Signals Using Online Weighted Adaptation Regularization for Regression (OwARR). CoRR abs/1702.02901 (2017) - [i3]Dongrui Wu, Vernon J. Lawhern, W. David Hairston, Brent J. Lance:
Switching EEG Headsets Made Easy: Reducing Offline Calibration Effort Using Active Weighted Adaptation Regularization. CoRR abs/1702.02906 (2017) - [i2]Dongrui Wu, Jung-Tai King, Chun-Hsiang Chuang, Chin-Teng Lin, Tzyy-Ping Jung:
Spatial Filtering for EEG-Based Regression Problems in Brain-Computer Interface (BCI). CoRR abs/1702.02914 (2017) - [i1]Dongrui Wu, Brent J. Lance, Vernon J. Lawhern, Stephen M. Gordon, Tzyy-Ping Jung, Chin-Teng Lin:
EEG-Based User Reaction Time Estimation Using Riemannian Geometry Features. CoRR abs/1704.08533 (2017) - 2016
- [c42]Dongrui Wu, Vernon J. Lawhern, Stephen M. Gordon, Brent J. Lance, Chin-Teng Lin:
Agreement rate initialized maximum likelihood estimator for ensemble classifier aggregation and its application in brain-computer interface. SMC 2016: 724-729 - [c41]Dongrui Wu, Vernon J. Lawhern, Stephen M. Gordon, Brent J. Lance, Chin-Teng Lin:
Offline EEG-based driver drowsiness estimation using enhanced batch-mode active learning (EBMAL) for regression. SMC 2016: 730-736 - [c40]Dongrui Wu, Vernon J. Lawhern, Stephen M. Gordon, Brent J. Lance, Chin-Teng Lin:
Spectral meta-learner for regression (SMLR) model aggregation: Towards calibrationless brain-computer interface (BCI). SMC 2016: 743-749 - 2015
- [j23]Syed Moshfeq Salaken, Abbas Khosravi, Saeid Nahavandi, Dongrui Wu:
Approximation of centroid end-points and switch points for replacing type reduction algorithms. Int. J. Approx. Reason. 66: 39-52 (2015) - [c39]Dongrui Wu, Vernon J. Lawhern, Brent J. Lance:
Reducing BCI calibration effort in RSVP tasks using online weighted adaptation regularization with source domain selection. ACII 2015: 567-573 - [c38]Dongrui Wu, Chun-Hsiang Chuang, Chin-Teng Lin:
Online driver's drowsiness estimation using domain adaptation with model fusion. ACII 2015: 904-910 - [c37]Syed Moshfeq Salaken, Abbas Khosravi, Saeid Nahavandi, Dongrui Wu:
Effect of different initializations on EKM algorithm. FUZZ-IEEE 2015: 1-6 - [c36]Syed Moshfeq Salaken, Abbas Khosravi, Saeid Nahavandi, Dongrui Wu:
Linear approximation of Karnik-Mendel type reduction algorithm. FUZZ-IEEE 2015: 1-6 - [c35]Syed Moshfeq Salaken, Abbas Khosravi, Saeid Nahavandi, Dongrui Wu:
Switch point finding using polynomial regression for fuzzy type reduction algorithms. FUZZ-IEEE 2015: 1-6 - [c34]Dongrui Wu, Vernon J. Lawhern, Brent J. Lance:
Reducing Offline BCI Calibration Effort Using Weighted Adaptation Regularization with Source Domain Selection. SMC 2015: 3209-3216 - [c33]Vernon Lawhern, David Slayback, Dongrui Wu, Brent J. Lance:
Efficient Labeling of EEG Signal Artifacts Using Active Learning. SMC 2015: 3217-3222 - 2014
- [j22]Dongrui Wu:
A reconstruction decoder for computing with words. Inf. Sci. 255: 1-15 (2014) - [c32]Jerry M. Mendel, Dongrui Wu:
Determining interval type-2 fuzzy set models for words using data collected from one subject: Person FOUs. FUZZ-IEEE 2014: 768-775 - [c31]Dongrui Wu, Jerry M. Mendel:
Designing practical interval type-2 fuzzy logic systems made simple. FUZZ-IEEE 2014: 800-807 - [c30]Dongrui Wu, Brent Lance, Vernon Lawhern:
Transfer learning and active transfer learning for reducing calibration data in single-trial classification of visually-evoked potentials. SMC 2014: 2801-2807 - 2013
- [j21]Dongrui Wu, Christian Wagner:
Special Issue on Computational Intelligence and Affective Computing [Guest Editorial]. IEEE Comput. Intell. Mag. 8(2): 17-19 (2013) - [j20]Dongrui Wu:
Approaches for Reducing the Computational Cost of Interval Type-2 Fuzzy Logic Systems: Overview and Comparisons. IEEE Trans. Fuzzy Syst. 21(1): 80-99 (2013) - [p2]Dongrui Wu:
Two Differences Between Interval Type-2 and Type-1 Fuzzy Logic Controllers: Adaptiveness and Novelty. Advances in Type-2 Fuzzy Sets and Systems 2013: 33-48 - 2012
- [j19]Albert Y. S. Lam, Michael J. Watts, Dongrui Wu, Pablo A. Estévez:
IEEE CIS Social Media: Have You Joined Our Online Community? [Society Briefs]. IEEE Comput. Intell. Mag. 7(1): 4-79 (2012) - [j18]Jerry M. Mendel, Dongrui Wu:
Challenges for Perceptual Computer Applications and How They Were Overcome. IEEE Comput. Intell. Mag. 7(3): 36-47 (2012) - [j17]Xinwang Liu, Jerry M. Mendel, Dongrui Wu:
Study on enhanced Karnik-Mendel algorithms: Initialization explanations and computation improvements. Inf. Sci. 184(1): 75-91 (2012) - [j16]Xinwang Liu, Jerry M. Mendel, Dongrui Wu:
Analytical solution methods for the fuzzy weighted average. Inf. Sci. 187: 151-170 (2012) - [j15]Dongrui Wu, Jerry M. Mendel, Simon Coupland:
Enhanced Interval Approach for Encoding Words Into Interval Type-2 Fuzzy Sets and Its Convergence Analysis. IEEE Trans. Fuzzy Syst. 20(3): 499-513 (2012) - [j14]Dongrui Wu:
On the Fundamental Differences Between Interval Type-2 and Type-1 Fuzzy Logic Controllers. IEEE Trans. Fuzzy Syst. 20(5): 832-848 (2012) - [c29]Dongrui Wu:
A reconstruction decoder for the perceptual computer. FUZZ-IEEE 2012: 1-8 - [c28]Dongrui Wu:
Fuzzy sets and systems in building closed-loop affective computing systems for human-computer interaction: Advances and new research directions. FUZZ-IEEE 2012: 1-8 - [c27]Dongrui Wu:
Twelve considerations in choosing between Gaussian and trapezoidal membership functions in interval type-2 fuzzy logic controllers. FUZZ-IEEE 2012: 1-8 - [c26]Dongrui Wu:
An overview of alternative type-reduction approaches for reducing the computational cost of interval type-2 fuzzy logic controllers. FUZZ-IEEE 2012: 1-8 - [c25]Dongrui Wu:
Genetic Algorithm Based Feature Selection for Speaker Trait Classification. INTERSPEECH 2012: 294-297 - 2011
- [j13]Dongrui Wu, Jerry M. Mendel:
Linguistic Summarization Using IF-THEN Rules and Interval Type-2 Fuzzy Sets. IEEE Trans. Fuzzy Syst. 19(1): 136-151 (2011) - [j12]Dongrui Wu, Jerry M. Mendel:
On the Continuity of Type-1 and Interval Type-2 Fuzzy Logic Systems. IEEE Trans. Fuzzy Syst. 19(1): 179-192 (2011) - [c24]Dongrui Wu, Thomas D. Parsons:
Active Class Selection for Arousal Classification. ACII (2) 2011: 132-141 - [c23]Dongrui Wu, Thomas D. Parsons:
Inductive Transfer Learning for Handling Individual Differences in Affective Computing. ACII (2) 2011: 142-151 - [c22]Dongrui Wu:
P-Map: An Intuitive Plot to Visualize, Understand, and Compare Variable-Gain PI Controllers. AIS 2011: 189-198 - [c21]Dongrui Wu, Maowen Nie:
Comparison and practical implementation of type-reduction algorithms for type-2 fuzzy sets and systems. FUZZ-IEEE 2011: 2131-2138 - [c20]Mohammad Reza Rajati, Jerry M. Mendel, Dongrui Wu:
Solving Zadeh's Magnus challenge problem on linguistic probabilities via Linguistic Weighted Averages. FUZZ-IEEE 2011: 2177-2184 - 2010
- [j11]Dongrui Wu, Christopher G. Courtney, Brent J. Lance, Shrikanth S. Narayanan, Michael E. Dawson, Kelvin S. Oie, Thomas D. Parsons:
Optimal Arousal Identification and Classification for Affective Computing Using Physiological Signals: Virtual Reality Stroop Task. IEEE Trans. Affect. Comput. 1(2): 109-118 (2010) - [j10]Dongrui Wu, Jerry M. Mendel:
Computing With Words for Hierarchical Decision Making Applied to Evaluating a Weapon System. IEEE Trans. Fuzzy Syst. 18(3): 441-460 (2010) - [c19]Simon Coupland, Jerry M. Mendel, Dongrui Wu:
Enhanced Interval Approach for encoding words into interval type-2 fuzzy sets and convergence of the word FOUs. FUZZ-IEEE 2010: 1-8 - [c18]Dongrui Wu, Jerry M. Mendel:
Examining the continuity of type-1 and interval type-2 fuzzy logic systems. FUZZ-IEEE 2010: 1-8 - [c17]Dongrui Wu, Jerry M. Mendel:
Ordered fuzzy weighted averages and ordered linguistic weighted averages. FUZZ-IEEE 2010: 1-7 - [c16]Dongrui Wu, Jerry M. Mendel:
Social Judgment Advisor: An application of the Perceptual Computer. FUZZ-IEEE 2010: 1-8 - [c15]Dongrui Wu, Jerry M. Mendel:
Efficient algorithms for computing a class of subsethood and similarity measures for interval type-2 fuzzy sets. FUZZ-IEEE 2010: 1-7 - [c14]Dongrui Wu, Jerry M. Mendel, Jhiin Joo:
Linguistic summarization using IF-THEN rules. FUZZ-IEEE 2010: 1-8 - [c13]Dongrui Wu, Woei Wan Tan:
Interval Type-2 Fuzzy PI Controllers: Why They are More Robust. GrC 2010: 802-807 - [c12]Dongrui Wu, Thomas D. Parsons, Emily Mower, Shrikanth S. Narayanan:
Speech emotion estimation in 3D space. ICME 2010: 737-742 - [c11]Dongrui Wu, Thomas D. Parsons, Shrikanth S. Narayanan:
Acoustic feature analysis in speech emotion primitives estimation. INTERSPEECH 2010: 785-788
2000 – 2009
- 2009
- [j9]Dongrui Wu, Jerry M. Mendel:
A comparative study of ranking methods, similarity measures and uncertainty measures for interval type-2 fuzzy sets. Inf. Sci. 179(8): 1169-1192 (2009) - [j8]Dongrui Wu, Jerry M. Mendel:
Enhanced Karnik-Mendel Algorithms. IEEE Trans. Fuzzy Syst. 17(4): 923-934 (2009) - [j7]Dongrui Wu, Jerry M. Mendel:
Perceptual Reasoning for Perceptual Computing: A Similarity-Based Approach. IEEE Trans. Fuzzy Syst. 17(6): 1397-1411 (2009) - [c10]Dongrui Wu, Jerry M. Mendel:
Similarity-based perceptual reasoning for perceptual computing. FUZZ-IEEE 2009: 700-705 - 2008
- [j6]Dongrui Wu, Jerry M. Mendel:
A vector similarity measure for linguistic approximation: Interval type-2 and type-1 fuzzy sets. Inf. Sci. 178(2): 381-402 (2008) - [j5]Jerry M. Mendel, Dongrui Wu:
Perceptual Reasoning for Perceptual Computing. IEEE Trans. Fuzzy Syst. 16(6): 1550-1564 (2008) - [j4]Dongrui Wu, Jerry M. Mendel:
Corrections to "Aggregation Using the Linguistic Weighted Average and Interval Type-2 Fuzzy Sets". IEEE Trans. Fuzzy Syst. 16(6): 1664-1666 (2008) - [c9]Dongrui Wu, Jerry M. Mendel:
Perceptual reasoning using interval type-2 fuzzy sets: Properties. FUZZ-IEEE 2008: 1219-1226 - 2007
- [j3]Dongrui Wu, Jerry M. Mendel:
Uncertainty measures for interval type-2 fuzzy sets. Inf. Sci. 177(23): 5378-5393 (2007) - [j2]Dongrui Wu, Jerry M. Mendel:
Aggregation Using the Linguistic Weighted Average and Interval Type-2 Fuzzy Sets. IEEE Trans. Fuzzy Syst. 15(6): 1145-1161 (2007) - [c8]Jerry M. Mendel, Dongrui Wu:
Cardinality, Fuzziness, Variance and Skewness of Interval Type-2 Fuzzy Sets. FOCI 2007: 375-382 - [c7]Dongrui Wu, Jerry M. Mendel:
A Vector Similarity Measure for Interval Type-2 Fuzzy Sets. FUZZ-IEEE 2007: 1-6 - [c6]Jerry M. Mendel, Dongrui Wu:
Perceptual Reasoning: A New Computing with Words Engine. GrC 2007: 446-451 - [c5]Dongrui Wu, Jerry M. Mendel:
A Vector Similarity Measure for Type-1 Fuzzy Sets. IFSA (1) 2007: 575-583 - [p1]Woei Wan Tan, Dongrui Wu:
Design of Type-Reduction Strategies for Type-2 Fuzzy Logic Systems using Genetic Algorithms. Advances in Evolutionary Computing for System Design 2007: 169-187 - 2006
- [j1]Dongrui Wu, Woei Wan Tan:
Genetic learning and performance evaluation of interval type-2 fuzzy logic controllers. Eng. Appl. Artif. Intell. 19(8): 829-841 (2006) - [c4]Dongrui Wu, Jerry M. Mendel:
The Linguistic Weighted Average. FUZZ-IEEE 2006: 566-573 - 2005
- [c3]Dongrui Wu, Woei Wan Tan:
Type-2 FLS Modeling Capability Analysis. FUZZ-IEEE 2005: 242-247 - [c2]Dongrui Wu, Woei Wan Tan:
Computationally Efficient Type-Reduction Strategies for a Type-2 Fuzzy Logic Controller. FUZZ-IEEE 2005: 353-358 - 2004
- [c1]Dongrui Wu, Woei Wan Tan:
A type-2 fuzzy logic controller for the liquid-level process. FUZZ-IEEE 2004: 953-958
Coauthor Index
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