Lin Niu

According to our database, Lin Niu authored at least 20 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

On the Alon-Tarsi number of semi-strong product of graphs.

Lin Niu, Xiangwen Li

J. Comb. Optim., January, 2024

2023

E-Sparse: Boosting the Large Language Model Inference through Entropy-based N: M Sparsity.

Yun Li, Lin Niu, Xipeng Zhang, Kai Liu, Jianchen Zhu, Zhanhui Kang

CoRR, 2023

Improving Post-Training Quantization on Object Detection with Task Loss-Guided Lp Metric.

Lin Niu, Jiawei Liu, Zhihang Yuan, Dawei Yang, Xinggang Wang, Wenyu Liu

CoRR, 2023

RPTQ: Reorder-based Post-training Quantization for Large Language Models.

Zhihang Yuan, Lin Niu, Jiawei Liu, Wenyu Liu, Xinggang Wang, Yuzhang Shang, Guangyu Sun, Qiang Wu, Jiaxiang Wu, Bingzhe Wu

CoRR, 2023

Decompositions of graphs of nonnegative characteristic with some forbidden subgraphs.

Fangyu Tian, Lin Niu, Xiangwen Li

Appl. Math. Comput., 2023

PD-Quant: Post-Training Quantization Based on Prediction Difference Metric.

Jiawei Liu, Lin Niu, Zhihang Yuan, Dawei Yang, Xinggang Wang, Wenyu Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Local Point Matching Network for Stabilized Crowd Counting and Localization.

Lin Niu, Xinggang Wang, Chen Duan, Qiongxia Shen, Wenyu Liu

Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

2021

Single-Phase Fault Line Selection in Distribution Network Based on Signal Injection Method.

Lin Niu, Guiqing Wu, Zhangsheng Xu

IEEE Access, 2021

2020

The Detection and Segmentation of Pulmonary Nodules Based on U-Net.

Guilai Han, Wei Liu, Benguo Yu, Lin Niu, Xiaoling Li, Lu Liu, Haixia Li

Proceedings of the Cyberspace Safety and Security - 12th International Symposium, 2020

2019

一种改进的R-λ模型码率控制算法 (Improved R-λ Model Based Rate Control Algorithm).

Hongwei Guo, Hongjun Luo, Shuai Liu, Lin Niu, Bo Yang

计算机科学, 2019

Intelligent Diagnosis of Middle and Low Voltage Distribution Network Fault Based on Big Data.

Jing Hua, Yan-Ping Zhou, Wei Xiong, Lin Niu, Xu Zhao

Proceedings of the Cyber Security Intelligence and Analytics, 2019

Application of Support Vector Machine Based on Particle Swarm Optimization in Short-Term Load Forecasting of Honghe Power Network.

Jing Hua, Wei Xiong, Lin Niu, Linlin Cao

Proceedings of the Cyber Security Intelligence and Analytics, 2019

An Integrated and Intelligent Dental Healthcare System with Mobile Services.

Yueshen Xu, Yi Lu, Rui Li, Lin Niu, Wenzhi Du, Ni An, Yaning Liu, Xinyi Liu, Yan Jiang, Zhenhua Li, Jin Guo, Xiangdong Wang

Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2019

2018

Priority assessment model of on-line monitoring devices investment for power transformers.

Yongliang Liang, Zhuoran Lin, Ke-Jun Li, Lin Niu, Jianguo Zhao, Wei-Jen Lee

J. Intell. Fuzzy Syst., 2018

2016

课程本体自动构建技术研究 (Research on Technique of Course Ontology Automatically Constructing).

Mingwen Tong, Lin Niu, Lin Yang, Junhua Zou, Chaowang Shang

计算机科学, 2016

2013

An integrated three-level transformer condition assessment model based on optimal weights and uncertainty theory.

Yongliang Liang, Kejun Li, Lin Niu, Jianguo Zhao, Wei-Jen Lee, Zhaohao Ding, Jingguo Ren, Hongxia Gao

Proceedings of the 2013 IEEE Industry Applications Society Annual Meeting, 2013

2010

Sparse Bayesian learning mechanism for research of audible noise in UHV transmission project.

Lin Niu, Jianguo Zhao, Jian Yang, Feng Xie, Kejun Li

Proceedings of the 8th IEEE International Conference on Control and Automation, 2010

2009

Adaptive Tracking Control of Nonlinear Systems Using Neural Networks.

Lin Niu, Liaoyuan Ye

Proceedings of the 2009 International Asia Conference on Informatics in Control, 2009

2008

Regression Based on Sparse Bayesian Learning and the Applications in Electric Systems.

Qing Duan, Jianguo Zhao, Lin Niu, Ke Luo

Proceedings of the Fourth International Conference on Natural Computation, 2008

2007

Long-Term Electricity Demand Forecasting Using Relevance Vector Learning Mechanism.

Zhi-Gang Du, Lin Niu, Jianguo Zhao

Proceedings of the Advances in Neural Networks, 2007