2024
2023
Wu, X., You, J., Chen, X., Zhou, M., Ma, H., Zhang, T., & Huang, C. (2023). An overview of hyperbaric oxygen preconditioning against ischemic stroke. METABOLIC BRAIN DISEASE. doi:10.1007/s11011-023-01165-yDOI: 10.1007/s11011-023-01165-y
Product liability, multidimensional R&D and innovation (vol 136,pg 25,2022) (Journal article)
Lin, P., & Zhang, T. (2023). Product liability, multidimensional R&D and innovation (vol 136,pg 25,2022). JOURNAL OF ECONOMICS, 138(2), 189. doi:10.1007/s00712-022-00817-4DOI: 10.1007/s00712-022-00817-4
PRoA: A Probabilistic Robustness Assessment Against Functional Perturbations (Chapter)
Zhang, T., Ruan, W., & Fieldsend, J. E. (2023). PRoA: A Probabilistic Robustness Assessment Against Functional Perturbations. In Unknown Book (Vol. 13715, pp. 154-170). doi:10.1007/978-3-031-26409-2_10DOI: 10.1007/978-3-031-26409-2_10
2022
Multi-UAV Cooperative Short-Range Combat via Attention-Based Reinforcement Learning using Individual Reward Shaping (Conference Paper)
Zhang, T., Qiu, T., Liu, Z., Pu, Z., Yi, J., Zhu, J., & Hu, R. (2022). Multi-UAV Cooperative Short-Range Combat via Attention-Based Reinforcement Learning using Individual Reward Shaping. In 2022 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS) (pp. 13737-13744). doi:10.1109/IROS47612.2022.9982096DOI: 10.1109/IROS47612.2022.9982096
Commander-Soldiers Reinforcement Learning for Cooperative Multi-Agent Systems (Conference Paper)
Chen, Y., Yang, W., Zhang, T., Wu, S., & Chang, H. (2022). Commander-Soldiers Reinforcement Learning for Cooperative Multi-Agent Systems. In 2022 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN). doi:10.1109/IJCNN55064.2022.9892794DOI: 10.1109/IJCNN55064.2022.9892794
Intrinsic Reward with Peer Incentives for Cooperative Multi-Agent Reinforcement Learning (Conference Paper)
Zhang, T., Liu, Z., Wu, S., Pu, Z., & Yi, J. (2022). Intrinsic Reward with Peer Incentives for Cooperative Multi-Agent Reinforcement Learning. In 2022 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN). doi:10.1109/IJCNN55064.2022.9892092DOI: 10.1109/IJCNN55064.2022.9892092
Multi-Agent Local Information Reconstruction for Situational Cognition (Conference Paper)
Wu, S., Pu, Z., Zhang, T., Qiu, T., & Yi, J. (2022). Multi-Agent Local Information Reconstruction for Situational Cognition. In 2022 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN). doi:10.1109/IJCNN55064.2022.9892770DOI: 10.1109/IJCNN55064.2022.9892770
Financing Orphan Drugs Through a Blockchain-Supported Insurance Model (Journal article)
Ho, L. S., Zhang, T., Kwok, T. C. T., Wat, K. P., Lai, F. T. T., & Li, S. (2022). Financing Orphan Drugs Through a Blockchain-Supported Insurance Model. FRONTIERS IN BLOCKCHAIN, 5. doi:10.3389/fbloc.2022.818807DOI: 10.3389/fbloc.2022.818807
Tempo-Spatial Distributions and Transport Characteristics of Two Dust Events over Northern China in March 2021 (Journal article)
Sun, X., Fan, X., Zhang, T., Wang, Y., Wang, Y., Lyu, D., & Zheng, M. (2022). Tempo-Spatial Distributions and Transport Characteristics of Two Dust Events over Northern China in March 2021. REMOTE SENSING, 14(23). doi:10.3390/rs14235967DOI: 10.3390/rs14235967
2021
Hierarchical Cooperative Swarm Policy Learning with Role Emergence (Conference Paper)
Zhang, T., Liu, Z., Pu, Z., Qiu, T., & Yi, J. (2021). Hierarchical Cooperative Swarm Policy Learning with Role Emergence. In 2021 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (IEEE SSCI 2021). doi:10.1109/SSCI50451.2021.9660008DOI: 10.1109/SSCI50451.2021.9660008
Multi-target Coverage with Connectivity Maintenance using Knowledge-incorporated Policy Framework (Conference Paper)
Wu, S., Pu, Z., Liu, Z., Qiu, T., Yi, J., & Zhang, T. (2021). Multi-target Coverage with Connectivity Maintenance using Knowledge-incorporated Policy Framework. In 2021 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA 2021) (pp. 8772-8778). doi:10.1109/ICRA48506.2021.9562017DOI: 10.1109/ICRA48506.2021.9562017
2020
A deep residual compensation extreme learning machine and applications (Journal article)
Chen, Y., Xie, X., Zhang, T., Bai, J., & Hou, M. (2020). A deep residual compensation extreme learning machine and applications. JOURNAL OF FORECASTING, 39(6), 986-999. doi:10.1002/for.2663DOI: 10.1002/for.2663
Rock slope stability analysis and charts based on hybrid online sequential extreme learning machine model (Journal article)
Deng, C., Hu, H., Zhang, T., & Chen, J. (2020). Rock slope stability analysis and charts based on hybrid online sequential extreme learning machine model. EARTH SCIENCE INFORMATICS, 13(3), 729-746. doi:10.1007/s12145-020-00458-5DOI: 10.1007/s12145-020-00458-5
Multi-Robot Cooperative Target Encirclement through Learning Distributed Transferable Policy (Conference Paper)
Zhang, T., Liu, Z., Wu, S., Pu, Z., & Yi, J. (2020). Multi-Robot Cooperative Target Encirclement through Learning Distributed Transferable Policy. In 2020 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN). doi:10.1109/ijcnn48605.2020.9207248DOI: 10.1109/ijcnn48605.2020.9207248
Land-use classification via ensemble dropout information discriminative extreme learning machine based on deep convolution feature (Journal article)
Zhang, T., Hou, M., Zhou, T., Liu, Z., Cheng, W., & Cheng, Y. (2020). Land-use classification via ensemble dropout information discriminative extreme learning machine based on deep convolution feature. COMPUTER SCIENCE AND INFORMATION SYSTEMS, 17(2), 427-443. doi:10.2298/CSIS191222010ZDOI: 10.2298/CSIS191222010Z
Neural network algorithm based on Legendre improved extreme learning machine for solving elliptic partial differential equations (Journal article)
Yang, Y., Hou, M., Sun, H., Zhang, T., Weng, F., & Luo, J. (2020). Neural network algorithm based on Legendre improved extreme learning machine for solving elliptic partial differential equations. SOFT COMPUTING, 24(2), 1083-1096. doi:10.1007/s00500-019-03944-1DOI: 10.1007/s00500-019-03944-1
Robot Navigation among External Autonomous Agents through Deep Reinforcement Learning using Graph Attention Network (Conference Paper)
Zhang, T., Qiu, T., Pu, Z., Liu, Z., & Yi, J. (2020). Robot Navigation among External Autonomous Agents through Deep Reinforcement Learning using Graph Attention Network. In IFAC PAPERSONLINE Vol. 53 (pp. 9465-9470). doi:10.1016/j.ifacol.2020.12.2419DOI: 10.1016/j.ifacol.2020.12.2419
Stability evaluation and parameter inversion of rock slope using modified extreme learning machine model (Journal article)
Deng, C., Hu, H., Zhang, T., & Yu, T. (2020). Stability evaluation and parameter inversion of rock slope using modified extreme learning machine model. Chinese Journal of Geological Hazard and Control, 31(3), 1-10. doi:10.16031/j.cnki.issn.1003-8035.2020.03.01DOI: 10.16031/j.cnki.issn.1003-8035.2020.03.01
2019
Solving Partial Differential Equation Based on Bernstein Neural Network and Extreme Learning Machine Algorithm (Journal article)
Sun, H., Hou, M., Yang, Y., Zhang, T., Weng, F., & Han, F. (2019). Solving Partial Differential Equation Based on Bernstein Neural Network and Extreme Learning Machine Algorithm. NEURAL PROCESSING LETTERS, 50(2), 1153-1172. doi:10.1007/s11063-018-9911-8DOI: 10.1007/s11063-018-9911-8
2018
Global Solar Radiation Prediction Using Hybrid Online Sequential Extreme Learning Machine Model (Journal article)
Hou, M., Zhang, T., Weng, F., Ali, M., Al-Ansari, N., & Yaseen, Z. M. (2018). Global Solar Radiation Prediction Using Hybrid Online Sequential Extreme Learning Machine Model. ENERGIES, 11(12). doi:10.3390/en11123415DOI: 10.3390/en11123415
An Online Learning Algorithm for Voice Activation Detection Based on a Pretrained Online Extreme Learning Machine (Conference Paper)
Zhang, T., Hou, M., Weng, F., Yang, Y., Sun, H., Wang, Z., . . . Luo, J. (2018). An Online Learning Algorithm for Voice Activation Detection Based on a Pretrained Online Extreme Learning Machine. In PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND APPLICATION ENGINEERING (CSAE2018). doi:10.1145/3207677.3278024DOI: 10.1145/3207677.3278024
Application of Regularized Extreme Learning Machine Based on BIC Criterion and Genetic Algorithm in Iron Ore Price Forecasting (Conference Paper)
Weng, F., Hou, M., Zhang, T., Yang, Y., Wang, Z., Sun, H., . . . Luo, J. (2018). Application of Regularized Extreme Learning Machine Based on BIC Criterion and Genetic Algorithm in Iron Ore Price Forecasting. In PROCEEDINGS OF THE 2018 3RD INTERNATIONAL CONFERENCE ON MODELLING, SIMULATION AND APPLIED MATHEMATICS (MSAM 2018) Vol. 160 (pp. 212-217). Retrieved from https://www.webofscience.com/
2017
A Method of Initial Velocity Measurement for Rocket Projectile (Conference Paper)
Zhang, J., Zhang, T., & Cai, Z. (2017). A Method of Initial Velocity Measurement for Rocket Projectile. In 2017 INTERNATIONAL CONFERENCE ON ELECTRONIC INFORMATION TECHNOLOGY AND COMPUTER ENGINEERING (EITCE 2017) Vol. 128. doi:10.1051/matecconf/201712804012DOI: 10.1051/matecconf/201712804012
2016
Looking for Information Source from Online Social Network with Incomplete Observation (Conference Paper)
Shi, P., Ding, L., & Zhang, T. (2016). Looking for Information Source from Online Social Network with Incomplete Observation. In PROCEEDINGS OF 2016 9TH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID), VOL 2 (pp. 375-377). doi:10.1109/ISCID.2016.200DOI: 10.1109/ISCID.2016.200
2015
Enhanced AllJoyn Network with Centralized Management (Conference Paper)
Li, L., Li, Y., Lin, J., & Zhang, T. (2015). Enhanced AllJoyn Network with Centralized Management. In TRUSTWORTHY COMPUTING AND SERVICES (ISCTCS 2014) Vol. 520 (pp. 183-188). doi:10.1007/978-3-662-47401-3_24DOI: 10.1007/978-3-662-47401-3_24
Human Mobility Simulation in Smart Energy Grid (Conference Paper)
Zhang, T., Liu, L., Song, S., & Yuan, Y. (2015). Human Mobility Simulation in Smart Energy Grid. In TRUSTWORTHY COMPUTING AND SERVICES (ISCTCS 2014) Vol. 520 (pp. 229-237). doi:10.1007/978-3-662-47401-3_30DOI: 10.1007/978-3-662-47401-3_30
Method and Implementation of FPGA Configuration Based on Serial Communication (Conference Paper)
Fu, J., Zhang, T., & Li, J. (2015). Method and Implementation of FPGA Configuration Based on Serial Communication. In 2015 8th International Congress on Image and Signal Processing (CISP) (pp. 1454-1458). Retrieved from https://www.webofscience.com/
Research on Modeling of Software Automatic Test (Conference Paper)
Yang, J., Yuan, Y., & Zhang, T. (2015). Research on Modeling of Software Automatic Test. In TRUSTWORTHY COMPUTING AND SERVICES (ISCTCS 2014) Vol. 520 (pp. 382-388). doi:10.1007/978-3-662-47401-3_49DOI: 10.1007/978-3-662-47401-3_49
2013
Human Driving Mobility Model Based Availability Evaluation for Multi-hop Vehicular Delay Tolerant Networks (Journal article)
Zhang, T., Yuan, Y., Boegh, J., Luo, Z., & Wu, X. (2013). Human Driving Mobility Model Based Availability Evaluation for Multi-hop Vehicular Delay Tolerant Networks. JOURNAL OF PURE AND APPLIED MICROBIOLOGY, 7, 227-233. Retrieved from https://www.webofscience.com/
RFID Enabled Vehicular Network for Ubiquitous Travel Query (Chapter)
Zhang, T., Wang, C., Luo, Z., Han, S., & Dong, M. (2013). RFID Enabled Vehicular Network for Ubiquitous Travel Query. In MOBILE AND WEB INNOVATIONS IN SYSTEMS AND SERVICE-ORIENTED ENGINEERING (pp. 348-363). doi:10.4018/978-1-4666-2470-2.ch019DOI: 10.4018/978-1-4666-2470-2.ch019
2012
Developing Local Association Network Based IoT Solutions for Body Parts Tagging and Tracking (Chapter)
Luo, Z., Lai, M., Cheung, M., Han, S., Zhang, T., Luo, Z., . . . Tipoe, G. L. (2012). Developing Local Association Network Based IoT Solutions for Body Parts Tagging and Tracking. In THEORETICAL AND ANALYTICAL SERVICE-FOCUSED SYSTEMS DESIGN AND DEVELOPMENT (pp. 83-104). doi:10.4018/978-1-4666-1767-4.ch005DOI: 10.4018/978-1-4666-1767-4.ch005
2011
Research on the Safe Lighting of Minor Radius Curve Spiral Tunnels (Conference Paper)
Fu, L., Ren, H., Wang, J., & Zhang, T. (2011). Research on the Safe Lighting of Minor Radius Curve Spiral Tunnels. In ARCHITECTURE AND BUILDING MATERIALS, PTS 1 AND 2 Vol. 99-100 (pp. 358-+). doi:10.4028/www.scientific.net/AMM.99-100.358DOI: 10.4028/www.scientific.net/AMM.99-100.358
A Novel Comprehensive Network Security Assessment Approach (Conference Paper)
Wang, C., Wang, Y., Dong, Y., & Zhang, T. (2011). A Novel Comprehensive Network Security Assessment Approach. In 2011 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC). Retrieved from https://www.webofscience.com/
2010
A Model for Evaluating Connectivity Availability in Random Sleep Scheduled Delay-Tolerant Wireless Networks (Conference Paper)
Zhang, T., Luo, Z., Wang, C., & Wong, E. C. (2010). A Model for Evaluating Connectivity Availability in Random Sleep Scheduled Delay-Tolerant Wireless Networks. In 2010 IEEE GLOBAL TELECOMMUNICATIONS CONFERENCE GLOBECOM 2010. Retrieved from https://www.webofscience.com/
An Urban Traffic Speed Fusion Method Based on Principle Component Analysis and Neural Network (Conference Paper)
Qiu, C., Zuo, X., Wang, C., Wu, J., & Zhang, T. (2010). An Urban Traffic Speed Fusion Method Based on Principle Component Analysis and Neural Network. In 2010 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS IJCNN 2010. Retrieved from https://www.webofscience.com/
2009
Delay Tolerant Vehicular Network in Intelligent Transportation System (Conference Paper)
Zhang, T., Wang, C., & Luo, Z. (2009). Delay Tolerant Vehicular Network in Intelligent Transportation System. In PROCEEDINGS OF THE 2009 INTERNATIONAL CONFERENCE ON COMPUTER AND COMMUNICATIONS SECURITY (pp. 3-+). doi:10.1109/ICCCS.2009.28DOI: 10.1109/ICCCS.2009.28
2008
A Service Platform for RFID Technology Adoption Analysis in Inventory Control (Conference Paper)
Zhang, T., Luo, Z., Wang, H., & Zhang, Y. (2008). A Service Platform for RFID Technology Adoption Analysis in Inventory Control. In IEEE/SOLI'2008: PROCEEDINGS OF 2008 IEEE INTERNATIONAL CONFERENCE ON SERVICE OPERATIONS AND LOGISTICS, AND INFORMATICS, VOLS 1 AND 2 (pp. 1922-+). doi:10.1109/SOLI.2008.4682845DOI: 10.1109/SOLI.2008.4682845
Developing a Trusted System for Tracking Asset on the Move (Conference Paper)
Zhang, T., Luo, Z., Zhou, F., & Yang, X. (2008). Developing a Trusted System for Tracking Asset on the Move. In PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE FOR YOUNG COMPUTER SCIENTISTS, VOLS 1-5 (pp. 2008-+). Retrieved from https://www.webofscience.com/
2006
Cluster based energy efficient scalable resolution for wireless sensor network (Conference Paper)
Zhao, L., Xu, C., Zhang, T., Xu, Y., & Li, X. (2006). Cluster based energy efficient scalable resolution for wireless sensor network. In DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS Vol. 13E (pp. 2988-2993). Retrieved from https://www.webofscience.com/
