Kaihui Chen

According to our database, Kaihui Chen authored at least 8 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

TSO: Self-Training with Scaled Preference Optimization.

Kaihui Chen, Hao Yi, Qingyang Li, Tianyu Qi, Yulan Hu, Fuzheng Zhang, Yong Liu

CoRR, 2024

Towards Comprehensive Preference Data Collection for Reward Modeling.

Yulan Hu, Qingyang Li, Sheng Ouyang, Ge Chen, Kaihui Chen, Lijun Mei, Xucheng Ye, Fuzheng Zhang, Yong Liu

CoRR, 2024

2023

Performance estimation for the memristor-based computing-in-memory implementation of extremely factorized network for real-time and low-power semantic segmentation.

Shuai Dong, Zhen Fan, Yihong Chen, Kaihui Chen, Minghui Qin, Min Zeng, Xubing Lu, Guofu Zhou, Xingsen Gao, Jun-Ming Liu

Neural Networks, March, 2023

2022

A backpropagation with gradient accumulation algorithm capable of tolerating memristor non-idealities for training memristive neural networks.

Shuai Dong, Yihong Chen, Zhen Fan, Kaihui Chen, Minghui Qin, Min Zeng, Xubing Lu, Guofu Zhou, Xingsen Gao, Jun-Ming Liu

Neurocomputing, 2022

2021

Propagation properties and radiation forces of the chirped Pearcey Gaussian vortex beam in a medium with a parabolic refractive index.

Zejia Lin, You Wu, Huixin Qiu, Xinming Fu, Kaihui Chen, Dongmei Deng

Commun. Nonlinear Sci. Numer. Simul., 2021

2019

Predicting Fine-Grained Traffic Conditions via Spatio-Temporal LSTM.

Xiaojuan Wei, Jinglin Li, Quan Yuan, Kaihui Chen, Ao Zhou, Fangchun Yang

Wirel. Commun. Mob. Comput., 2019

A Traffic Prediction Enabled Double Rewarded Value Iteration Network for Route Planning.

Jinglin Li, Dawei Fu, Quan Yuan, Haohan Zhang, Kaihui Chen, Shu Yang, Fangchun Yang

IEEE Trans. Veh. Technol., 2019

A Road Traffic Guidance Service Based on Deep Reinforcement Learning.

Kaihui Chen, Zhihan Liu, Jinglin Li, Quan Yuan

Proceedings of the Internet of Vehicles. Technologies and Services Toward Smart Cities, 2019