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2020 – today
- 2025
[j8]Xun Chen, Qizhong Lin, Lin Niu:
Star-critical Ramsey numbers involving large books. Discret. Math. 348(1): 114270 (2025)- 2024
- [j7]Lin Niu, Xiangwen Li
:
Decomposing graphs of nonnegative characteristic into subgraphs with degree restrictions. Discret. Math. 347(6): 113965 (2024) - [j6]Lin Niu, Xiangwen Li:
On the Alon-Tarsi number of semi-strong product of graphs. J. Comb. Optim. 47(1): 1 (2024) - 2023
- [j5]Fangyu Tian, Lin Niu, Xiangwen Li:
Decompositions of graphs of nonnegative characteristic with some forbidden subgraphs. Appl. Math. Comput. 456: 128126 (2023) - [c11]Jiawei Liu, Lin Niu, Zhihang Yuan, Dawei Yang, Xinggang Wang, Wenyu Liu:
PD-Quant: Post-Training Quantization Based on Prediction Difference Metric. CVPR 2023: 24427-24437 - [i4]Zhihang Yuan, Lin Niu, Jiawei Liu, Wenyu Liu, Xinggang Wang, Yuzhang Shang, Guangyu Sun, Qiang Wu, Jiaxiang Wu, Bingzhe Wu:
RPTQ: Reorder-based Post-training Quantization for Large Language Models. CoRR abs/2304.01089 (2023) - [i3]Lin Niu, Jiawei Liu, Zhihang Yuan, Dawei Yang, Xinggang Wang, Wenyu Liu:
Improving Post-Training Quantization on Object Detection with Task Loss-Guided Lp Metric. CoRR abs/2304.09785 (2023) - [i2]Yun Li, Lin Niu, Xipeng Zhang, Kai Liu, Jianchen Zhu, Zhanhui Kang:
E-Sparse: Boosting the Large Language Model Inference through Entropy-based N: M Sparsity. CoRR abs/2310.15929 (2023) - 2022
- [c10]Lin Niu, Xinggang Wang, Chen Duan, Qiongxia Shen, Wenyu Liu:
Local Point Matching Network for Stabilized Crowd Counting and Localization. PRCV (1) 2022: 566-579 - [i1]Jiawei Liu, Lin Niu, Zhihang Yuan, Dawei Yang, Xinggang Wang, Wenyu Liu:
PD-Quant: Post-Training Quantization based on Prediction Difference Metric. CoRR abs/2212.07048 (2022) - 2021
- [j4]Lin Niu, Guiqing Wu, Zhangsheng Xu:
Single-Phase Fault Line Selection in Distribution Network Based on Signal Injection Method. IEEE Access 9: 21567-21578 (2021) - 2020
- [c9]Guilai Han, Wei Liu, Benguo Yu, Lin Niu, Xiaoling Li, Lu Liu, Haixia Li:
The Detection and Segmentation of Pulmonary Nodules Based on U-Net. CSS 2020: 236-244
2010 – 2019
- 2019
- [j3]Hongwei Guo, Hongjun Luo, Shuai Liu, Lin Niu, Bo Yang:
一种改进的R-λ模型码率控制算法 (Improved R-λ Model Based Rate Control Algorithm). 计算机科学 46(3): 142-147 (2019) - [c8]Yueshen Xu, Yi Lu, Rui Li, Lin Niu, Wenzhi Du, Ni An, Yaning Liu, Xinyi Liu, Yan Jiang, Zhenhua Li, Jin Guo, Xiangdong Wang:
An Integrated and Intelligent Dental Healthcare System with Mobile Services. CollaborateCom 2019: 183-200 - [c7]Jing Hua, Wei Xiong, Lin Niu, Linlin Cao:
Application of Support Vector Machine Based on Particle Swarm Optimization in Short-Term Load Forecasting of Honghe Power Network. CSIA 2019: 437-443 - [c6]Jing Hua, Yan-Ping Zhou, Wei Xiong, Lin Niu, Xu Zhao:
Intelligent Diagnosis of Middle and Low Voltage Distribution Network Fault Based on Big Data. CSIA 2019: 916-922 - 2018
- [j2]Yongliang Liang, Zhuoran Lin, Ke-Jun Li, Lin Niu, Jianguo Zhao, Wei-Jen Lee:
Priority assessment model of on-line monitoring devices investment for power transformers. J. Intell. Fuzzy Syst. 35(1): 589-599 (2018) - 2016
- [j1]Mingwen Tong, Lin Niu, Lin Yang, Junhua Zou, Chaowang Shang:
课程本体自动构建技术研究 (Research on Technique of Course Ontology Automatically Constructing). 计算机科学 43(Z11): 108-112 (2016) - 2013
- [c5]Yongliang Liang, Kejun Li, Lin Niu, Jianguo Zhao, Wei-Jen Lee, Zhaohao Ding, Jingguo Ren, Hongxia Gao:
An integrated three-level transformer condition assessment model based on optimal weights and uncertainty theory. IAS 2013: 1-7 - 2010
- [c4]Lin Niu, Jianguo Zhao, Jian Yang, Feng Xie, Kejun Li:
Sparse Bayesian learning mechanism for research of audible noise in UHV transmission project. ICCA 2010: 258-262
2000 – 2009
- 2009
- [c3]Lin Niu, Liaoyuan Ye:
Adaptive Tracking Control of Nonlinear Systems Using Neural Networks. CAR 2009: 12-15 - 2008
- [c2]Qing Duan, Jianguo Zhao, Lin Niu, Ke Luo:
Regression Based on Sparse Bayesian Learning and the Applications in Electric Systems. ICNC (1) 2008: 106-110 - 2007
- [c1]Zhi-Gang Du, Lin Niu, Jianguo Zhao:
Long-Term Electricity Demand Forecasting Using Relevance Vector Learning Mechanism. ISNN (1) 2007: 465-472
Coauthor Index
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