An adaptive strategy for updating the memory in Evolutionary Algorithms for dynamic optimization. - Tao Zhu 001; Wenjian Luo; Zhifang Li (CIDUE, 2011)

Differential evolution with a species-based repair strategy for constrained optimization. - Chenyang Bu; Wenjian Luo; Tao Zhu 001 (IEEE Congress on Evolutionary Computation, 2014)

Evolutionary clustering with differential evolution. - Gang Chen; Wenjian Luo; Tao Zhu 001 (IEEE Congress on Evolutionary Computation, 2014)

Combining multipopulation evolutionary algorithms with memory for dynamic optimization problems. - Tao Zhu 001; Wenjian Luo; Lihua Yue (IEEE Congress on Evolutionary Computation, 2014)

An improved genetic algorithm for dynamic shortest path problems. - Xuezhi Zhu; Wenjian Luo; Tao Zhu 001 (IEEE Congress on Evolutionary Computation, 2014)

Dynamic optimization facilitated by the memory tree. - Tao Zhu 001; Wenjian Luo; Lihua Yue (Soft Comput., 2015)

Cyber-Enabled Traditional Chinese Medicine. - Yujia Chen 001; Yifeng Peng; Leiqi Wang; Yuanyu Zhang; Tao Zhu 001 (iThings/GreenCom/CPSCom/SmartData, 2016)

STLF: Spatial-temporal-logical knowledge representation and object mapping framework. - Sahraoui Dhelim; Huansheng Ning; Tao Zhu 001 (SMC, 2016)

Internet Use and Its Impact on Individual Physical Health. - Yumei Zheng; Dawei Wei; Junlong Li; Tao Zhu 001; Huansheng Ning (IEEE Access, 2016)

Solving online dynamic time-linkage problems under unreliable prediction. - Chenyang Bu; Wenjian Luo; Tao Zhu 001; Lihua Yue (Appl. Soft Comput., 2017)

An architecture for aggregating information from distributed data nodes for industrial internet of things. - Tao Zhu 001; Sahraoui Dhelim; Zhihao Zhou; Shunkun Yang; Huansheng Ning (Comput. Electr. Eng., 2017)

Cyberlogic Paves the Way From Cyber Philosophy to Cyber Science. - Huansheng Ning; Qingjuan Li; Dawei Wei; Hong Liu 006; Tao Zhu 001 (IEEE Internet Things J., 2017)

A Semantic-based Inference Control Algorithm for RDF Stores Privacy Protection. - Yuying Qi; Tao Zhu 001; Huansheng Ning (ISR, 2018)

Learning enhanced differential evolution for tracking optimal decisions in dynamic power systems. - Tao Zhu 001; Yingjie Hao; Wenjian Luo; Huansheng Ning (Appl. Soft Comput., 2018)

Social relationship for physical objects. - Dawei Wei; Huansheng Ning; Yuke Qian; Tao Zhu 001 (Int. J. Distributed Sens. Networks, 2018)

A survey of RDF management technologies and benchmark datasets. - Zhengyu Pan; Tao Zhu 001; Hong Liu 006; Huansheng Ning (J. Ambient Intell. Humaniz. Comput., 2018)

A Survey of Data Semantization in Internet of Things. - Feifei Shi; Qingjuan Li; Tao Zhu 001; Huansheng Ning (Sensors, 2018)

Hybrid of PSO and CMA-ES for Global Optimization. - Peilan Xu; Wenjian Luo; Xin Lin 004; Yingying Qiao; Tao Zhu 001 (CEC, 2019)

Empirical Study of Population-Based Dynamic Constrained Multimodal Optimization Algorithms. - Xin Lin 004; Wenjian Luo; Yingying Qiao; Peilan Xu; Tao Zhu 001 (SSCI, 2019)

A novel ontology consistent with acknowledged standards in smart homes. - Huansheng Ning; Feifei Shi; Tao Zhu 001; Qingjuan Li; Liming Chen 001 (Comput. Networks, 2019)

A semantic-based inference control algorithm for OWL repository privacy protection. - Yuying Qi; Xuanxia Yao; Tao Zhu 001; Huansheng Ning (Comput. Networks, 2019)

A hybrid approach to inferring the Internet of Things for complex activity recognition. - Qingjuan Li; Huansheng Ning; Tao Zhu 001; Shan Cui; Liming Chen 001 (EURASIP J. Wirel. Commun. Netw., 2019)

A clonal selection algorithm for dynamic multimodal function optimization. - Wenjian Luo; Xin Lin 004; Tao Zhu 001; Peilan Xu (Swarm Evol. Comput., 2019)

Multi-resident type recognition based on ambient sensors activity. - Qingjuan Li; Wei Huangfu; Fadi Farha; Tao Zhu 001; Shunkun Yang; Liming Chen 001; Huansheng Ning (Future Gener. Comput. Syst., 2020)

Making use of observable parameters in evolutionary dynamic optimization. - Tao Zhu 001; Wenjian Luo; Chenyang Bu; Huansheng Ning (Inf. Sci., 2020)

Guest editorial: Special issue on data intelligence in sustainable computing. - Tao Zhu 001; Wenjian Luo; Junwei Cao; Hansheng Lei (Sustain. Comput. Informatics Syst., 2020)

Species and Memory Enhanced Differential Evolution for Optimal Power Flow Under Double-Sided Uncertainties. - Chenyang Bu; Wenjian Luo; Tao Zhu 001; Ruikang Yi; Bin Yang (IEEE Trans. Sustain. Comput., 2020)

Genetic Algorithm with Multiple Fitness Functions for Generating Adversarial Examples. - Chenwang Wu; Wenjian Luo; Nan Zhou; Peilan Xu; Tao Zhu 001 (CEC, 2021)

Sensor Data Augmentation with Resampling for Contrastive Learning in Human Activity Recognition. - Jinqiang Wang; Tao Zhu 001; Jingyuan Gan; Huansheng Ning; Yaping Wan (CoRR, 2021)

Classroom student posture recognition based on an improved high-resolution network. - Yiwen Zhang; Tao Zhu 001; Huansheng Ning; Zhenyu Liu (EURASIP J. Wirel. Commun. Netw., 2021)

Parallel Particle Swarm Optimization Based on Spark for Academic Paper Co-Authorship Prediction. - Congmin Yang; Tao Zhu 001; Yang Zhang; Huansheng Ning; Liming Chen 001; Zhenyu Liu (Inf., 2021)

On Followers Search. - Li Ni; Wenjian Luo; Tao Zhu 001; Peilan Xu (IEEE Trans. Comput. Soc. Syst., 2021)

A Multiscale Windows Deep Learning Aproach For Sensor-Based Human Activity Recogniton. - Furong Duan; Tao Zhu 001; Jinqiang Wang; Zhenyu Liu (ICDIS, 2022)

DE with A new population initialization method for the dynamic multidimensional knapsack problems. - Qi Qiu; Junyi He; Tao Zhu 001 (ICDIS, 2022)

Blockchain Application on the Internet of Vehicles (IoV). - Nyothiri Aung; M. Tahar Kechadi; Tao Zhu 001; Saber Zerdoumi; Tahar Guerbouz; Sahraoui Dhelim (ICITE, 2022)

Blockchain Application on the Internet of Vehicles (IoV). - Nyothiri Aung; M. Tahar Kechadi; Sahraoui Dhelim; Tao Zhu 001; Aymen Dia Eddine Berini; Tahar Guerbouz (CoRR, 2022)

Parallel Particle Swarm Optimization Using Apache Beam. - Jie Liu; Tao Zhu 001; Yang Zhang; Zhenyu Liu (Inf., 2022)

MCLA: Research on cumulative learning of Markov Logic Network. - Shan Cui; Tao Zhu 001; Xiao Zhang; Huansheng Ning (Knowl. Based Syst., 2022)

Federated Markov Logic Network for indoor activity recognition in Internet of Things. - Chang Zhang; Xiaorui Ren; Tao Zhu 001; Fang Zhou; Hong Liu 006; Qinghua Lu 001; Huansheng Ning (Knowl. Based Syst., 2022)

Few-shot activity learning by dual Markov logic networks. - Zhimin Zhang 005; Tao Zhu 001; Dazhi Gao; Jiabo Xu; Hong Liu 006; Huansheng Ning (Knowl. Based Syst., 2022)

EvoDCMMO: Benchmarking and solving dynamic constrained multimodal optimization problems. - Xin Lin 004; Wenjian Luo; Yingying Qiao; Peilan Xu; Tao Zhu 001 (Swarm Evol. Comput., 2022)

Dynamic Tracking with Fuzzy Rules for Evolutionary Dynamic Constrained Optimization. - Chenyang Bu; Yuxin Liu; Lizhong Zhang; Tao Zhu 001; Wenjian Luo (SMC, 2023)

Brain Storm Optimization Integrated with Cooperative Coevolution for Large-Scale Constrained Optimization. - Yuetong Sun; Peilan Xu; Ziyu Zhang; Tao Zhu 001; Wenjian Luo (ICSI (1), 2023)

Jerk-Continuous Feedrate Optimization Method for NURBS Interpolation. - Mingxing Nie; Liwei Zou; Tao Zhu 001 (IEEE Access, 2023)

A Multi-Task Deep Learning Approach for Sensor-based Human Activity Recognition and Segmentation. - Furong Duan; Tao Zhu 001; Jinqiang Wang; Liming Chen 001; Huansheng Ning; Yaping Wan (CoRR, 2023)

An Improved Masking Strategy for Self-supervised Masked Reconstruction in Human Activity Recognition. - Jinqiang Wang; Tao Zhu 001; Huansheng Ning (CoRR, 2023)

Negative Selection by Clustering for Contrastive Learning in Human Activity Recognition. - Jinqiang Wang; Tao Zhu 001; Liming Luke Chen; Huansheng Ning; Yaping Wan (IEEE Internet Things J., 2023)

NURBS Interpolator with Minimum Feedrate Fluctuation Based on Two-Level Parameter Compensation. - Mingxing Nie; Tao Zhu 001; Yue Li 061 (Sensors, 2023)

A Multitask Deep Learning Approach for Sensor-Based Human Activity Recognition and Segmentation. - Furong Duan; Tao Zhu 001; Jinqiang Wang; Liming Chen 001; Huansheng Ning; Yaping Wan (IEEE Trans. Instrum. Meas., 2023)

A Parallel Multiobjective PSO Weighted Average Clustering Algorithm Based on Apache Spark. - Huidong Ling; Xinmu Zhu; Tao Zhu 001; Mingxing Nie; Zhenghai Liu; Zhenyu Liu (Entropy, 2023)

More Reliable Neighborhood Contrastive Learning for Novel Class Discovery in Sensor-Based Human Activity Recognition. - Mingcong Zhang; Tao Zhu 001; Mingxing Nie; Zhenyu Liu (Sensors, 2023)

A semantic ontology of acupoints in Traditional Chinese Medicine aligning with the Basic Formal Ontology. - Feifei Shi; Tao Zhu 001; Bo Ouyang; Huansheng Ning (IIKI, 2024)

Open-Set Sensor Human Activity Recognition Based on Reciprocal Time Series. - Yingjie Chen; Wenxuan Cui; Yong Huang; Chao Liu; Tao Zhu 001 (IIP (2), 2024)

HARFMR: Human Activity Recognition with Feature Masking and Reconstruction. - Wenxuan Cui; Yingjie Chen; Yong Huang; Chao Liu; Tao Zhu 001 (IIP (2), 2024)

Utilizing Attention for Continuous Human Action Recognition Based on Multimodal Fusion of Visual and Inertial. - Liang Hua; Yong Huang; Chao Liu; Tao Zhu 001 (IIP (2), 2024)

CAPPIMU: A Composite Activities Dataset for Human Activity Recognition Utilizing Plantar Pressure and IMU Sensors. - Bin Luo; Qi Qiu; Tao Zhu 001; Zhenyu Liu (IIP (2), 2024)

Evaluation of Human Activity Recognition and Segmentation Based on the DETR Model. - Shuangjian Li; Lulu Ban; Furong Duan; Yaping Wan; Tao Zhu 001 (UCAmI, 2024)

HARMamba: Efficient Wearable Sensor Human Activity Recognition Based on Bidirectional Selective SSM. - Shuangjian Li; Tao Zhu 001; Furong Duan; Liming Chen 001; Huansheng Ning; Yaping Wan (CoRR, 2024)

ReLU-KAN: New Kolmogorov-Arnold Networks that Only Need Matrix Addition, Dot Multiplication, and ReLU. - Qi Qiu; Tao Zhu 001; Helin Gong; Liming Chen 001; Huansheng Ning (CoRR, 2024)

A Survey on Large Language Models from General Purpose to Medical Applications: Datasets, Methodologies, and Evaluations. - Jinqiang Wang; Huansheng Ning; Yi Peng; Qikai Wei; Daniel Tesfai; Wenwei Mao; Tao Zhu 001; Runhe Huang (CoRR, 2024)

FLOW: Fusing and Shuffling Global and Local Views for Cross-User Human Activity Recognition with IMUs. - Qi Qiu; Tao Zhu 001; Furong Duan; Kevin I-Kai Wang; Liming Chen 001; Mingxing Nie; Yaping Wan (CoRR, 2024)

Skin Conductance-Based Acupoint and Non-Acupoint Recognition Using Machine Learning. - Feifei Shi; Huansheng Ning; Ruoxiu Xiao; Tao Zhu 001; Nannan Li (IEEE J. Biomed. Health Informatics, 2024)

PerMl-Fed: enabling personalized multi-level federated learning within heterogenous IoT environments for activity recognition. - Chang Zhang; Tao Zhu 001; Hangxing Wu; Huansheng Ning (Clust. Comput., 2024)

MCformer: Multivariate Time Series Forecasting With Mixed-Channels Transformer. - Wenyong Han; Tao Zhu 001; Liming Chen 001; Huansheng Ning; Yang Luo; Yaping Wan (IEEE Internet Things J., 2024)

DiffTST: Diff Transformer for Multivariate Time Series Forecast. - Song Yang; Wenyong Han; Yaping Wan; Tao Zhu 001; Zhiming Liu; Shuangjian Li (IEEE Access, 2025)

HARMamba: Efficient and Lightweight Wearable Sensor Human Activity Recognition Based on Bidirectional Mamba. - Shuangjian Li; Tao Zhu 001; Furong Duan; Liming Chen 001; Huansheng Ning; Christopher Nugent; Yaping Wan (IEEE Internet Things J., 2025)

PTMs-TSCIL Pre-Trained Models Based Class-Incremental Learning. - Yuanlong Wu; Mingxing Nie; Tao Zhu 001; Liming Luke Chen; Huansheng Ning; Yaping Wan (CoRR, 2025)

HAR-DoReMi: Optimizing Data Mixture for Self-Supervised Human Activity Recognition Across Heterogeneous IMU Datasets. - Lulu Ban; Tao Zhu 001; Xiangqing Lu; Qi Qiu; Wenyong Han; Shuangjian Li; Liming Chen 001; Kevin I-Kai Wang; Mingxing Nie; Yaping Wan (CoRR, 2025)

P2LHAP: Wearable-Sensor-Based Human Activity Recognition, Segmentation, and Forecast Through Patch-to-Label Seq2Seq Transformer. - Shuangjian Li; Tao Zhu 001; Mingxing Nie; Huansheng Ning; Zhenyu Liu; Liming Chen 001 (IEEE Internet Things J., 2025)

A Data Synthesis Method Driven by Large Language Models for Proactive Mining of Implicit User Intentions in Tourism. - Jinqiang Wang; Huansheng Ning; Tao Zhu 001; Jianguo Ding (CoRR, 2025)