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Jianing Lu
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Journal Articles
- 2024
- [j7]Jing Zhou, Jianing Lu, Changyuan Yu:
Improving the accuracy of QoT estimation with insertion loss distribution evaluation for C + L band transmission systems. J. Opt. Commun. Netw. 16(1): 12-20 (2024) - 2021
- [j6]Jianing Lu, Song Xia, Jieyu Lu, Yingkai Zhang:
Dataset Construction to Explore Chemical Space with 3D Geometry and Deep Learning. J. Chem. Inf. Model. 61(3): 1095-1104 (2021) - [j5]Jianing Lu, Gai Zhou, Qirui Fan, Dengke Zeng, Changjian Guo, Linyue Lu, Jianqiang Li, Chongjin Xie, Chao Lu, Faisal Nadeem Khan, Alan Pak Tao Lau:
Performance comparisons between machine learning and analytical models for quality of transmission estimation in wavelength-division-multiplexed systems [Invited]. JOCN 13(4): B35-B44 (2021) - [j4]Jianing Lu, Qirui Fan, Gai Zhou, Linyue Lu, Changyuan Yu, Alan Pak Tao Lau, Chao Lu:
Automated training dataset collection system design for machine learning application in optical networks: an example of quality of transmission estimation. JOCN 13(11): 289-300 (2021) - 2019
- [j3]Yuwei Yang, Jianing Lu, Chao Yang, Yingkai Zhang:
Exploring fragment-based target-specific ranking protocol with machine learning on cathepsin S. J. Comput. Aided Mol. Des. 33(12): 1095-1105 (2019) - [j2]Jianing Lu, Xuben Hou, Cheng Wang, Yingkai Zhang:
Incorporating Explicit Water Molecules and Ligand Conformation Stability in Machine-Learning Scoring Functions. J. Chem. Inf. Model. 59(11): 4540-4549 (2019) - 2018
- [j1]Xuben Hou, David Rooklin, Duxiao Yang, Xiao Liang, Kangshuai Li, Jianing Lu, Cheng Wang, Peng Xiao, Yingkai Zhang, Jin-peng Sun, Hao Fang:
Computational Strategy for Bound State Structure Prediction in Structure-Based Virtual Screening: A Case Study of Protein Tyrosine Phosphatase Receptor Type O Inhibitors. J. Chem. Inf. Model. 58(11): 2331-2342 (2018)
Conference and Workshop Papers
- 2020
- [c4]Qirui Fan, Jianing Lu, Gai Zhou, Derek Zeng, Changjian Guo, Linyue Lu, Jianqiang Li, Chongjin Xie, Chao Lu, Faisal Nadeem Khan, Alan Pak Tao Lau:
Experimental Comparisons between Machine Learning and Analytical Models for QoT Estimations in WDM Systems. OFC 2020: 1-3 - [c3]Faisal Nadeem Khan, Qirui Fan, Jianing Lu, Gai Zhou, Chao Lu, Alan Pak Tao Lau:
Applications of Machine Learning in Optical Communications and Networks. OFC 2020: 1-91 - 2019
- [c2]Jianing Lu, Qiong Wu, Hexun Jiang, Songnian Fu, Ming Tang, Chao Lu:
Sparse-fast-Fourier-Transform Assisted Timing/Frequency Synchronization for Optical Coherent Receivers. OECC/PSC 2019: 1-3 - 2018
- [c1]Jianing Lu, Songnian Fu, Lei Deng, Ming Tang, Zhouyi Hu, Deming Liu, Calvin Chun-Kit Chan:
Blind and Fast Modulation Format Identification by Frequency-offset Loading for Hitless Flexible Transceiver. OFC 2018: 1-3
Coauthor Index
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