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2020 – today
- 2024
[i2]Jifan Yu, Zheyuan Zhang, Daniel Zhang-li, Shangqing Tu, Zhanxin Hao, Rui Miao Li, Haoxuan Li, Yuanchun Wang, Hanming Li, Linlu Gong, Jie Cao, Jiayin Lin, Jinchang Zhou, Fei Qin, Haohua Wang, Jianxiao Jiang, Lijun Deng, Yisi Zhan, Chaojun Xiao, Xusheng Dai, Xuan Yan, Nianyi Lin, Nan Zhang, Ruixin Ni, Yang Dang, Lei Hou, Yu Zhang, Xu Han, Manli Li, Juanzi Li, Zhiyuan Liu, Huiqin Liu, Maosong Sun:
From MOOC to MAIC: Reshaping Online Teaching and Learning through LLM-driven Agents. CoRR abs/2409.03512 (2024)- 2023
- [j9]Zhicheng Jia
, Chengming Ou, Shoujiang Sun, Juan Wang, Jingyu Liu, Manli Li, Shangang Jia, Peisheng Mao:
A novel approach using multispectral imaging for rapid development of seed pellet formulations to mitigate drought stress in alfalfa. Comput. Electron. Agric. 212: 108136 (2023) - [c5]Qitao Liu, Xiaofeng Feng, Manli Li, Jinhua Ren, Zhaoyang Yin:
Building a rapid prototype system of security and stability control system based on digital twin. iSPEC 2023: 1-5 - [c4]Jifan Yu, Mengying Lu, Qingyang Zhong, Zijun Yao, Shangqing Tu, Zhengshan Liao, Xiaoya Li, Manli Li, Lei Hou, Hai-Tao Zheng, Juanzi Li, Jie Tang:
MoocRadar: A Fine-grained and Multi-aspect Knowledge Repository for Improving Cognitive Student Modeling in MOOCs. SIGIR 2023: 2924-2934 - [i1]Jifan Yu, Mengying Lu, Qingyang Zhong, Zijun Yao, Shangqing Tu, Zhengshan Liao, Xiaoya Li, Manli Li, Lei Hou, Hai-Tao Zheng, Juanzi Li, Jie Tang:
MoocRadar: A Fine-grained and Multi-aspect Knowledge Repository for Improving Cognitive Student Modeling in MOOCs. CoRR abs/2304.02205 (2023) - 2022
- [j8]Shuheng Zhang, Hanguo Zeng, Wei Ji, Kun Yi, Shuangfeng Yang, Peisheng Mao, Zhanjun Wang, Hongqian Yu, Manli Li:
Non-Destructive Testing of Alfalfa Seed Vigor Based on Multispectral Imaging Technology. Sensors 22(7): 2760 (2022) - [j7]Zhicheng Jia, Ming Sun, Chengming Ou, Shoujiang Sun, Chunli Mao, Liu Hong, Juan Wang, Manli Li, Shangang Jia, Peisheng Mao:
Single Seed Identification in Three Medicago Species via Multispectral Imaging Combined with Stacking Ensemble Learning. Sensors 22(19): 7521 (2022) - 2020
- [j6]Xia Zhou, Zhou Yang, Ming Ni, Husheng Lin, Manli Li, Yi Tang:
Analysis of the Impact of Combined Information-Physical-Failure on Distribution Network CPS. IEEE Access 8: 44140-44152 (2020) - [j5]Manli Li, Yusheng Xue, Ming Ni, Xiao Li:
Modeling and Hybrid Calculation Architecture for Cyber Physical Power Systems. IEEE Access 8: 138251-138263 (2020) - [c3]Manli Li, Xiaoling Li:
Do Free Users Make Seller Pay? The Asymmetry Network Effect of Free Users on Fee Sellers in Business-to-Business Electronic Platform. WHICEB 2020: 17
2010 – 2019
- 2019
- [j4]Heqin Tong, Ming Ni, Lili Zhao, Manli Li:
Flexible hardware-in-the-loop testbed for cyber physical power system simulation. IET Cyper-Phys. Syst.: Theory & Appl. 4(4): 374-381 (2019) - 2018
- [c2]Jingjing He, Chang Men, Senbiao Fang, Zhihui Du, Jason Liu, Manli Li:
Analysis of MOOC Learning Rhythms. HPCC/SmartCity/DSS 2018: 1555-1562 - 2017
- [j3]Xiu Li, Chang Men, Zhihui Du, Jason Liu, Manli Li, Xiaolei Zhang:
Investigating the Statistical Distribution of Learning Coverage in MOOCs. Inf. 8(4): 150 (2017) - 2015
- [c1]Zhenhui Liu, Jingjing He, Yufei Xue, Zhenzhong Huang, Manli Li, Zhihui Du:
Modeling the learning behaviors of massive open online courses. IEEE BigData 2015: 2883-2885 - 2010
- [j2]Manli Li, Zhang Yi:
Improved Columnar Competitive Model for Travelling Salesman Problem. Int. J. Intell. Inf. Process. 1(1): 20-29 (2010)
2000 – 2009
- 2009
- [j1]Manli Li, Zhang Yi, Min Zhu:
Solving TSP by using Lotka-Volterra neural networks. Neurocomputing 72(16-18): 3873-3880 (2009)
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