A Survey of Recent Achievements for Wireless Sensor Networks Testbeds. - Junyan Ma; Jin Wang; Te Zhang (CyberC, 2017)

Robust extreme learning fuzzy systems using ridge regression for small and noisy datasets. - Te Zhang; Zhaohong Deng; Kup-Sze Choi; Jiefang Liu; Shitong Wang 001 (FUZZ-IEEE, 2017)

HATBED: Hardware Assisted Tracing Testbed for Embedded Networked Sensor Systems. - Yi Li 045; Junyan Ma; Te Zhang (SenSys, 2018)

Multi-View Fuzzy Logic System with the Cooperation between Visible and Hidden Views. - Te Zhang; Zhaohong Deng; Dongrui Wu; Shitong Wang 001 (CoRR, 2018)

Generalized Hidden-Mapping Minimax Probability Machine for the training and reliability learning of several classical intelligent models. - Zhaohong Deng; Junyong Chen; Te Zhang; Longbing Cao; Shitong Wang 001 (Inf. Sci., 2018)

HATBED: a distributed hardware assisted testbed for non-invasive profiling of IoT devices. - Yi Li 045; Junyan Ma; Te Zhang (Bench@CPSIoTWeek, 2019)

Multi-view Clustering with the Cooperation of Visible and Hidden Views. - Zhaohong Deng; Ruixiu Liu; Te Zhang; Peng Xu; Kup-Sze Choi; Bin Qin; Shitong Wang 001 (CoRR, 2019)

Multi-View Fuzzy Clustering with The Alternative Learning between Shared Hidden Space and Partition. - Zhaohong Deng; Chen Cui; Peng Xu; Ling Liang; Haoran Chen; Te Zhang; Shitong Wang 001 (CoRR, 2019)

Concise Fuzzy System Modeling Integrating Soft Subspace Clustering and Sparse Learning. - Peng Xu; Zhaohong Deng; Chen Cui; Te Zhang; Kup-Sze Choi; Suhang Gu; Jun Wang 024; Shitong Wang 001 (IEEE Trans. Fuzzy Syst., 2019)

Multiview Fuzzy Logic System With the Cooperation Between Visible and Hidden Views. - Te Zhang; Zhaohong Deng; Dongrui Wu; Shitong Wang 001 (IEEE Trans. Fuzzy Syst., 2019)

Learning Causal Fuzzy Logic Rules by Leveraging Markov Blankets. - Te Zhang; Christian Wagner 002 (SMC, 2021)

TSK Fuzzy System Towards Few Labeled Incomplete Multi-View Data Classification. - Wei Zhang 221; Zhaohong Deng; Qiongdan Lou; Te Zhang; Kup-Sze Choi; Shitong Wang 001 (CoRR, 2021)

Robust TSK Fuzzy System Based on Semisupervised Learning for Label Noise Data. - Te Zhang; Zhaohong Deng; Hisao Ishibuchi; Lie Meng Pang (IEEE Trans. Fuzzy Syst., 2021)

An Intelligent Ground-Air Cooperative Navigation Framework Based on Visual-Aided Method in Indoor Environments. - Zi-Hao Wang; Kaiyu Qin; Te Zhang; Bo Zhu 005 (Unmanned Syst., 2021)

Counterfactual rule generation for fuzzy rule-based classification systems. - Te Zhang; Christian Wagner 002; Jonathan M. Garibaldi (FUZZ-IEEE, 2022)

Transductive Multiview Modeling With Interpretable Rules, Matrix Factorization, and Cooperative Learning. - Wei Zhang 221; Zhaohong Deng; Jun Wang 024; Kup-Sze Choi; Te Zhang; Xiaoqing Luo; Hong-Bin Shen; Wenhao Ying; Shitong Wang 001 (IEEE Trans. Cybern., 2022)

Enhanced Multiview Fuzzy Clustering Using Double Visible-Hidden View Cooperation and Network LASSO Constraint. - Zhaohong Deng; Ling Liang; Hongtan Yang; Wei Zhang 221; Qiongdan Lou; Kup-Sze Choi; Te Zhang; Jin Zhou 003; Shitong Wang 001 (IEEE Trans. Fuzzy Syst., 2022)

Incomplete Multiple View Fuzzy Inference System With Missing View Imputation and Cooperative Learning. - Wei Zhang 221; Zhaohong Deng; Te Zhang; Kup-Sze Choi; Jun Wang 024; Shitong Wang 001 (IEEE Trans. Fuzzy Syst., 2022)

Multi-View Clustering With the Cooperation of Visible and Hidden Views. - Zhaohong Deng; Ruixiu Liu; Peng Xu; Kup-Sze Choi; Wei Zhang 221; Xiaobin Tian; Te Zhang; Ling Liang; Bin Qin; Shitong Wang 001 (IEEE Trans. Knowl. Data Eng., 2022)

UDE-PLC: Uncertainty and Disturbance Estimator with Phase-lead Compensation. - Te Zhang; Lei Zhang; Bo Zhu 005; Qingrui Zhang (ACC, 2023)

Towards Causal Fuzzy System Rules Using Causal Direction. - Te Zhang; Jingda Ying; Christian Wagner 002; Jonathan M. Garibaldi (FUZZ, 2023)

Takagi-Sugeno-Kang Fuzzy System Towards Label-scarce Incomplete Multi-View Data Classification. - Wei Zhang 221; Zhaohong Deng; Qiongdan Lou; Te Zhang; Kup-Sze Choi; Shitong Wang 001 (Inf. Sci., 2023)

Generating Locally Relevant Explanations Using Causal Rule Discovery. - Te Zhang; Christian Wagner 002 (FUZZ, 2024)

Multi-View Fuzzy Representation Learning With Rules Based Model. - Wei Zhang 221; Zhaohong Deng; Te Zhang; Kup-Sze Choi; Shitong Wang 001 (IEEE Trans. Knowl. Data Eng., 2024)

One-Step Multiview Fuzzy Clustering With Collaborative Learning Between Common and Specific Hidden Space Information. - Wei Zhang 221; Zhaohong Deng; Te Zhang; Kup-Sze Choi; Shitong Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

GFS-Node: Graph Fuzzy Systems for Node Prediction. - Fuping Hu; Zhaohong Deng; Zhenping Xie; Te Zhang; Kup-Sze Choi; Fan Zhang; Shitong Wang 001 (IEEE Trans. Fuzzy Syst., 2024)

Explain the World - Using Causality to Facilitate Better Rules for Fuzzy Systems. - Te Zhang; Christian Wagner 002; Jonathan M. Garibaldi (IEEE Trans. Fuzzy Syst., 2024)

Dual Anchor Graph Fuzzy Clustering for Multiview Data. - Wei Zhang 221; Xiuyu Huang; Andong Li; Te Zhang; Weiping Ding 001; Zhaohong Deng; Shitong Wang 001 (IEEE Trans. Fuzzy Syst., 2025)

DRIMV_TSK: An Interpretable Surgical Evaluation Model for Incomplete Multi-View Rectal Cancer Data. - Wei Zhang 221; Zi Wang 005; Hanwen Zhou; Zhaohong Deng; Weiping Ding 001; Yuxi Ge; Te Zhang; Yuanpeng Zhang; Kup-Sze Choi; Shitong Wang 001; Shudong Hu (CoRR, 2025)

Enhancing Large Multimodal Models with Adaptive Sparsity and KV Cache Compression. - Te Zhang; Yuheng Li; Junxiang Wang; Lujun Li (CoRR, 2025)