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2020 – today
- 2024
[i3]Dongchen Huang, Junde Liu, Tian Qian, Hongming Weng:
Training-set-free two-stage deep learning for spectroscopic data de-noising. CoRR abs/2402.18830 (2024)- 2023
- [j3]Xiaohan Zhou
, Qingzhi Liu, David Katzin, Tian Qian, Ep Heuvelink, Leo F. M. Marcelis:
Boosting the prediction accuracy of a process-based greenhouse climate-tomato production model by particle filtering and deep learning. Comput. Electron. Agric. 211: 107980 (2023) - [j2]Huanyu Li, Peng Zhang, Zikun Wei, Tian Qian, Yiqi Tang, Kun Hu, Xianqiong Huang, Xinxin Xia, Yishuang Zhang, Haixing Cheng, Fubing Yu, Wenjia Zhang, Kena Dan, Xuan Liu, Shujun Ye, Guangqiao He, Xia Jiang, Liwei Liu, Yukun Fan, Tingting Song, Guomin Zhou, Ziyi Wang, Daojun Zhang, Junwei Lv:
Deep skin diseases diagnostic system with Dual-channel Image and Extracted Text. Frontiers Artif. Intell. 6 (2023) - 2022
- [i2]Dongchen Huang, Junde Liu, Tian Qian, Yi-Feng Yang:
Spectroscopic data de-noising via training-set-free deep learning method. CoRR abs/2210.10494 (2022) - [i1]Junde Liu, Dongchen Huang, Yi-Feng Yang, Tian Qian:
Removing grid structure in angle-resolved photoemission spectra via deep learning method. CoRR abs/2210.11200 (2022) - 2021
- [j1]Xinhong Han, Ya Xiao, Huichao Qu, Runhong He, Xuan Fan, Tian Qian, Yongjian Gu:
Sharing quantum steering among multiple Alices and Bobs via a two-qubit Werner state. Quantum Inf. Process. 20(8): 1-15 (2021)
Coauthor Index
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