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2020 – today
- 2024
[i2]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 abs/2406.16486 (2024)- [i1]Kaihui Chen, Hao Yi, Qingyang Li, Tianyu Qi, Yulan Hu, Fuzheng Zhang, Yong Liu:
TSO: Self-Training with Scaled Preference Optimization. CoRR abs/2409.02118 (2024) - 2023
- [j5]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: 202-215 (2023) - 2022
- [j4]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: 89-103 (2022) - 2021
- [j3]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: 105557 (2021)
2010 – 2019
- 2019
- [j2]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): 4170-4181 (2019) - [j1]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: 9242598:1-9242598:12 (2019) - [c1]Kaihui Chen, Zhihan Liu, Jinglin Li, Quan Yuan:
A Road Traffic Guidance Service Based on Deep Reinforcement Learning. IOV 2019: 353-360
Coauthor Index
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