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- 2026
[j8]Qianxi Li
, Bao Pang, Yong Song, Hongze Fu, Qingyang Xu, Xianfeng Yuan, Xiaolong Xu, Chengjin Zhang:
Large language model assisted hierarchical reinforcement learning training. Inf. Sci. 723: 122688 (2026)- [i2]Lijun Liu, Linwei Chen, Zhishou Zhang, Meng Tian, Hengfu Cui, Ruiyang Li, Zhaocheng Liu, Qiang Ju, Qianxi Li, Hong-Yu Zhou:
SkinFlow: Efficient Information Transmission for Open Dermatological Diagnosis via Dynamic Visual Encoding and Staged RL. CoRR abs/2601.09136 (2026) - 2025
- [j7]Yuze Huang, Xiao Chen, Wenhui Zhang, Qianxi Li, He Li:
Spatio-Temporal Aware Collaborative Service Ranking Prediction in IoT-Enabled Edge Computing. IEEE Access 13: 97930-97943 (2025) - [j6]Yuanbin Wang, Wenqing He, Qianxi Li, Xiaolong Wang, Wenjian Chang:
A lightweight multi-scaled semantic segmentation for underground mine images. Pattern Recognit. Lett. 197: 325-331 (2025) - [j5]Yuanbin Wang, Qianxi Li, Wenqing He, Xuejiao Yu:
Aerial image defogging via integration of variational retinex theory and fog transmittance model. Signal Image Video Process. 19(10): 839 (2025) - [j4]Yuanbin Wang, Xiaolong Wang, Bingchao Wu, Yuanyuan Li, Qianxi Li:
Infrared substation equipment image fault region extraction method based on superpixel segmentation and improved fuzzy clustering. Signal Image Video Process. 19(14): 1234 (2025) - [j3]Rong Fei, Qianxi Li, Kan Wang, Fazlullah Khan, Ryan Alturki, Dapeng Lan:
Data-Driven DLT3 Federated Deep Reinforcement Learning for Secure and Efficient Autonomous Driving. IEEE Trans. Consumer Electron. 71(2): 6134-6146 (2025) - [j2]Rong Fei, Qianxi Li, Kan Wang, Meng Li, Xiaojie Zhu:
Reliability-Driven Fuzzy Rule Inference for Critical Safe Driving in Vehicle Tracking Control. IEEE Trans. Consumer Electron. 71(2): 7073-7085 (2025) - [j1]Jiawei Dong, Hong Zeng, Sen Dong, Weining Chen, Qianxi Li, Jianzhong Cao, Qiurong Yan, Hao Wang:
Enhanced Single Pixel Imaging by Using Adaptive Jointly Optimized Conditional Diffusion. IEEE Trans. Computational Imaging 11: 289-304 (2025) - 2024
- [i1]Qianxi Li, Yingyue Cao, Jikun Kang, Tianpei Yang, Xi Chen, Jun Jin, Matthew E. Taylor:
LaFFi: Leveraging Hybrid Natural Language Feedback for Fine-tuning Language Models. CoRR abs/2401.00907 (2024)
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