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2020 – today
- 2022
[j9]Mingming Zhao
, Claudio Roncoli, Yibing Wang, Nikolaos Bekiaris-Liberis, Jingqiu Guo, Senlin Cheng:
Generic Approaches to Estimating Freeway Traffic State and Percentage of Connected Vehicles With Fixed and Mobile Sensing. IEEE Trans. Intell. Transp. Syst. 23(8): 13155-13177 (2022)- 2021
- [j8]Yibing Wang, Xianghua Yu, Siyu Zhang, Pengjun Zheng, Jingqiu Guo, Lihui Zhang, Simon Hu, Senlin Cheng, Heng Wei:
Freeway Traffic Control in Presence of Capacity Drop. IEEE Trans. Intell. Transp. Syst. 22(3): 1497-1516 (2021) - [j7]Jingqiu Guo, Senlin Cheng, Yangzexi Liu:
Merging and Diverging Impact on Mixed Traffic of Regular and Autonomous Vehicles. IEEE Trans. Intell. Transp. Syst. 22(3): 1639-1649 (2021) - 2020
- [c4]Yadi Wu, Senlin Cheng, Xiaohao Yan:
Study on Improved Algorithm of RSSI Correction and Location in Mine-well Based on Bluetooth Positioning Information. CSAE 2020: 146:1-146:6
2010 – 2019
- 2019
- [j6]Senlin Cheng, Yang Xu, Ruixue Zong, Chuanhai Wang:
A fast decision making method for mandatory lane change using kernel extreme learning machine. Int. J. Mach. Learn. Cybern. 10(12): 3363-3369 (2019) - [c3]Hai Huang, Senlin Cheng, Zhong Hong, Liutong Xu:
Label Distribution Learning Based Age-Invariant Face Recognition. PAKDD (Workshops) 2019: 214-222 - [c2]Hai Huang, Senlin Cheng, Liutong Xu:
Overall Loss for Deep Neural Networks. PAKDD (Workshops) 2019: 223-231 - 2018
- [j5]Yuchu He, Dihua Sun, Min Zhao, Senlin Cheng:
Cooperative Driving and Lane Changing Modeling for Connected Vehicles in the Vicinity of Traffic Signals: A Cyber-Physical Perspective. IEEE Access 6: 13891-13897 (2018) - [j4]Dihua Sun, Geng Zhang, Min Zhao, Senlin Cheng, Jiandong Cao:
Stability analysis of feedforward anticipation optimal flux difference in traffic lattice hydrodynamic theory. Commun. Nonlinear Sci. Numer. Simul. 56: 287-295 (2018) - [j3]Hongzhuan Zhao, Dihua Sun, Hang Yue, Min Zhao, Senlin Cheng:
Dynamic Trust Model for Vehicular Cyber-Physical Systems. Int. J. Netw. Secur. 20(1): 157-167 (2018) - [c1]Senlin Cheng, Liutong Xu:
I-Center Loss for Deep Neural Networks. ICA3PP (Workshops) 2018: 34-44 - 2017
- [j2]Hongzhuan Zhao, Dihua Sun, Hang Yue, Min Zhao, Senlin Cheng:
Using CSTPNs to model traffic control CPS. IET Softw. 11(3): 116-125 (2017) - 2016
- [j1]Dihua Sun, Hongzhuan Zhao, Senlin Cheng:
A novel membership cloud model-based trust evaluation model for vehicular ad hoc network of T-CPS. Secur. Commun. Networks 9(18): 5710-5723 (2016)
Coauthor Index
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