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Jun-Yi Li

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2020 – today

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2024
[j20]
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Yijin Jia, Lixin Yang, Yao Zhao, Jun-Yi Li, Weijun Lv:
Optimal redundant transmission scheduling for remote state estimation via reinforcement learning approach. Neurocomputing 576: 127337 (2024)
[j19]
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Lixin Yang, Yong Xu, Weijun Lv, Jun-Yi Li, Ling Shi:
Optimal Transmission Scheduling Over Multihop Networks: Structural Results and Reinforcement Learning. IEEE Trans. Autom. Control. 69(3): 1826-1833 (2024)
2023
[j18]
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Jun-Yi Li, Zidong Wang, Renquan Lu, Yong Xu:
A component-based coding-decoding approach to set-membership filtering for time-varying systems under constrained bit rate. Autom. 152: 110874 (2023)
[j17]
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Zijing Xiao, Yuru Guo, Jun-Yi Li, Chang Liu, Yumei Zhou:
Anti-synchronization for Markovian neural networks via asynchronous intermittent control. Neurocomputing 528: 217-225 (2023)
[j16]
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Jun-Yi Li, Yang-Cheng Huang, Hong-Xia Rao, Yong Xu, Renquan Lu:
Finite-time cluster synchronization for complex dynamical networks under FDI attack: A periodic control approach. Neural Networks 165: 228-237 (2023)
[j15]
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Jun-Yi Li, Zidong Wang, Renquan Lu, Yong Xu:
Distributed Filtering Under Constrained Bit Rate Over Wireless Sensor Networks: Dealing With Bit Rate Allocation Protocol. IEEE Trans. Autom. Control. 68(3): 1642-1654 (2023)
[j14]
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Jun-Yi Li, Zidong Wang, Renquan Lu, Yong Xu:
Cluster Synchronization Control for Discrete-Time Complex Dynamical Networks: When Data Transmission Meets Constrained Bit Rate. IEEE Trans. Neural Networks Learn. Syst. 34(5): 2554-2568 (2023)
[c10]
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Jun-Yi Li, Huei-Yung Lin:
Improving Vehicle Localization with Lane Marking Detection Based on Visual Perception and Geographic Information. ISIE 2023: 1-6
2022
[c9]
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  - conf/icca/HuangLRC22
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Yang-Cheng Huang, Jun-Yi Li, Hong-Xia Rao, Hui Chen:
Finite-time Cluster Synchronization Control of Cyber-Physical Systems under Cyber Attack. ICCA 2022: 948-953
2021
[j13]
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  - journals/tcyb/LiZLXH21
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Jun-Yi Li, Bin Zhang, Renquan Lu, Yong Xu, Tingwen Huang:
Distributed H_∞ State Estimator Design for Time-Delay Periodic Systems Over Scheduling Sensor Networks. IEEE Trans. Cybern. 51(1): 462-472 (2021)
[j12]
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Jun-Yi Li, Zidong Wang, Renquan Lu, Yong Xu:
Partial-Nodes-Based State Estimation for Complex Networks With Constrained Bit Rate. IEEE Trans. Netw. Sci. Eng. 8(2): 1887-1899 (2021)
2020
[j11]
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Jun-Yi Li, Bin Zhang, Renquan Lu, Yong Xu, Hong-Xia Rao:
Synchronization for Markovian coupled neural networks with partial mode observation: The finite-time case. J. Frankl. Inst. 357(17): 12767-12786 (2020)
[j10]
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Shie-Yuan Wang, Jun-Yi Li, Yi-Bing Lin:
Aggregating and disaggregating packets with various sizes of payload in P4 switches at 100 Gbps line rate. J. Netw. Comput. Appl. 165: 102676 (2020)
[j9]
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Yong Xu, Chang Liu, Jun-Yi Li, Chun-Yi Su, Tingwen Huang:
Finite-Horizon H_∞ State Estimation for Time-Varying Neural Networks with Periodic Inner Coupling and Measurements Scheduling. IEEE Trans. Syst. Man Cybern. Syst. 50(1): 211-219 (2020)
[j8]
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Jun-Yi Li, Bin Zhang, Renquan Lu, Yong Xu:
Robust Distributed H_∞ State Estimation for Stochastic Periodic Systems Over Constraint Sensor Networks. IEEE Trans. Syst. Man Cybern. Syst. 50(11): 4396-4407 (2020)

2010 – 2019

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2019
[j7]
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  - journals/cluster/LiHL19
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Xiaofei Li, Di He, Jun-Yi Li:
Parallel image search application based on online hashing hierarchical ranking. Clust. Comput. 22(Suppl 1): 1469-1478 (2019)
[j6]
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Yong Xu, Jun-Yi Li, Renquan Lu, Chang Liu, Yuanqing Wu:
Finite-Horizon $l_2-l_\infty$ Synchronization for Time-Varying Markovian Jump Neural Networks Under Mixed-Type Attacks: Observer-Based Case. IEEE Trans. Neural Networks Learn. Syst. 30(6): 1695-1704 (2019)
[c8]
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  - conf/globecom/WangCLHTL19
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Shie-Yuan Wang, Yo-Ru Chen, Jun-Yi Li, Hsien-Wen Hu, Jia-An Tsai, Yi-Bing Lin:
A Bandwidth-Efficient INT System for Tracking the Rules Matched by the Packets of a Flow. GLOBECOM 2019: 1-6
2018
[j5]
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  - journals/complexity/LiL18
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Jun-Yi Li, Jian-hua Li:
Approximately Nearest Neighborhood Image Search Using Unsupervised Hashing via Homogeneous Kernels. Complex. 2018: 9671630:1-9671630:12 (2018)
[j4]
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Xiao-Meng Li, Yun Chen, Jun-Yi Li:
Finite-time state estimation for delayed periodic neural networks over multiple-packet transmission. Neurocomputing 311: 137-145 (2018)
[j3]
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Hong-Xia Rao, Yong Xu, Chang Liu, Jun-Yi Li:
Finite-time control for periodic systems with Markov jump sensor nonlinearities and random input gains. J. Frankl. Inst. 355(10): 4097-4110 (2018)
[j2]
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Jiayu Zhou, Yong Xu, Jun-Yi Li, Yachao Li:
Robust state estimation for discrete time systems with colored noises and communication constraints. J. Frankl. Inst. 355(13): 5790-5810 (2018)
2017
[j1]
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Jun-Yi Li, Renquan Lu, Yong Xu, Hui Peng, Hong-Xia Rao:
Distributed state estimation for periodic systems with sensor nonlinearities and successive packet dropouts. Neurocomputing 237: 50-58 (2017)
[c7]
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  - conf/icnc/LiL17b
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Jun-Yi Li, Jian-hua Li:
Large-scale image similarity search optimization based on multi-core architecture. ICNC-FSKD 2017: 2097-2101
[c6]
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Wei-Hao Chen, Win-San Khwa, Jun-Yi Li, Wei-Yu Lin, Huan-Ting Lin, Yongpan Liu, Yu Wang, Huaqiang Wu, Huazhong Yang, Meng-Fan Chang:
Circuit design for beyond von Neumann applications using emerging memory: From nonvolatile logics to neuromorphic computing. ISQED 2017: 23-28
2015
[c5]
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Jun-Yi Li, Jian-hua Li:
Supervised hashing binary code with deep CNN for image retrieval. BMEI 2015: 649-655
[c4]
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Jun-Yi Li, Jian-hua Li:
Fast image search with deep convolutional neural networks and efficient hashing codes. FSKD 2015: 1285-1290
2012
[c3]
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  - conf/fskd/LiL12
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Jun-Yi Li, Jian-hua Li:
A novel semi-supervised Multi-Instance learning approach for scene recognition. FSKD 2012: 1206-1210

2000 – 2009

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2006
[c2]
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  - conf/sera/LiSL06
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Jun-Yi Li, Jia-Guang Sun, Ying-Ping Lu:
Automated Test Data Generation Based on Program Execution. SERA 2006: 229-236
2004
[c1]
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  - conf/icmcs/ChenJLW04
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Jiang-Chun Chen, Jyh-Shing Roger Jang, Jun-Yi Li, Ming-Chun Wu:
Automatic pronunciation assessment for Mandarin Chinese. ICME 2004: 1979-1982

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