Kaihui Chen

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 7

Top Topics

Traffic Conditions

Semantic Segmentation

Levenberg Marquardt

Top Venues

IEEE Trans. Veh. Technol.

Wirel. Commun. Mob. Comput.

Commun. Nonlinear Sci. Numer. Simul.

Publications

Yulan Hu, Qingyang Li, Sheng Ouyang, Ge Chen, Kaihui Chen, Lijun Mei, Xucheng Ye, Fuzheng Zhang, Yong Liu
Towards Comprehensive Preference Data Collection for Reward Modeling. CoRR (2024)
Shuai Dong, Zhen Fan, Yihong Chen, Kaihui Chen, Minghui Qin, Min Zeng, Xubing Lu, Guofu Zhou, Xingsen Gao, Jun-Ming Liu
Performance estimation for the memristor-based computing-in-memory implementation of extremely factorized network for real-time and low-power semantic segmentation. Neural Networks 160 (2023)
Shuai Dong, Yihong Chen, Zhen Fan, Kaihui Chen, Minghui Qin, Min Zeng, Xubing Lu, Guofu Zhou, Xingsen Gao, Jun-Ming Liu
A backpropagation with gradient accumulation algorithm capable of tolerating memristor non-idealities for training memristive neural networks. Neurocomputing 494 (2022)
Zejia Lin, You Wu, Huixin Qiu, Xinming Fu, Kaihui Chen, Dongmei Deng
Propagation properties and radiation forces of the chirped Pearcey Gaussian vortex beam in a medium with a parabolic refractive index. Commun. Nonlinear Sci. Numer. Simul. 94 (2021)
Jinglin Li, Dawei Fu, Quan Yuan, Haohan Zhang, Kaihui Chen, Shu Yang, Fangchun Yang
A Traffic Prediction Enabled Double Rewarded Value Iteration Network for Route Planning. IEEE Trans. Veh. Technol. 68 (5) (2019)
Kaihui Chen, Zhihan Liu, Jinglin Li, Quan Yuan
A Road Traffic Guidance Service Based on Deep Reinforcement Learning. IOV (2019)
Xiaojuan Wei, Jinglin Li, Quan Yuan, Kaihui Chen, Ao Zhou, Fangchun Yang
Predicting Fine-Grained Traffic Conditions via Spatio-Temporal LSTM. Wirel. Commun. Mob. Comput. 2019 (2019)