Chunlin He

According to our database, Chunlin He authored at least 22 papers between 2018 and 2024.

Collaborative distances:

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

2024

Approximated Expectation Propagation Assisted Decentralized Signal Detection for Uplink Massive MIMO-OTFS Systems.

Shuo Li, Lixia Xiao, Chunlin He, Liuke Li, Tao Jiang

IEEE Trans. Veh. Technol., July, 2024

Deep Learning-Based Hybrid Precoding for RIS-Aided Broadband Terahertz Communication Systems in the Face of Beam Squint.

Qijiang Yuan, Lixia Xiao, Chunlin He, Pei Xiao, Tao Jiang

IEEE Wirel. Commun. Lett., February, 2024

Evolutionary computation for feature selection in classification: A comprehensive survey of solutions, applications and challenges.

Xianfang Song, Yong Zhang, Wanqiu Zhang, Chunlin He, Ying Hu, Jian Wang, Dunwei Gong

Swarm Evol. Comput., 2024

2023

Transound: Hyper-head attention transformer for birds sound recognition.

Quan Tang, Liming Xu, Bochuan Zheng, Chunlin He

Ecol. Informatics, July, 2023

MNL: A Highly-Efficient Model for Large-scale Dynamic Weighted Directed Network Representation.

Minzhi Chen, Chunlin He, Xin Luo

IEEE Trans. Big Data, June, 2023

Anomaly Detection of GAN Industrial Image Based on Attention Feature Fusion.

Lin Zhang, Yang Dai, Fuyou Fan, Chunlin He

Sensors, 2023

A PSO-Based Product Design Tolerance Optimization Method Considering Product Robustness.

Shuai Li, Ruizhao Zheng, Yang Yang, Chunlin He, Yong Zhang

Proceedings of the Advances in Swarm Intelligence - 14th International Conference, 2023

A Double-Norm Aggregated Latent Factorization of Tensors Model for Temporal-Aware QoS Prediction.

Juan Wang, Hao Wu, Chunlin He

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

A Study of Chinese Medicine Entity Recognition Method by Fusing Multi-Features and Pointer Networks.

Zihao Lv, Chunlin He, Liming Xu

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Cross-Modal Method Based on Self-Attention Neural Networks for Drug-Target Prediction.

Litao Zhang, Chunming Yang, Chunlin He, Hui Zhang

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Construction and validation of a junior high school biology laboratory class teaching model based on desktop VR.

Juan Wang, Chunlin He, Xinye Bai, Qiuhong Li, Yunhao Li, Minghan Cai

Proceedings of the 9th International Conference on Education and Training Technologies, 2023

2022

Algorithms for Trajectory Points Clustering in Location-based Social Networks.

Nan Han, Shaojie Qiao, Kun Yue, Jianbin Huang, Qiang He, Tingting Tang, Faliang Huang, Chunlin He, Chang-an Yuan

ACM Trans. Intell. Syst. Technol., 2022

An Incremental Approach Based on Hierarchical Classification in Multikernel Fuzzy Rough Sets Under the Variation of Object Set.

Wei Fan, Chunlin He, Anping Zeng, Ke Lin

Proceedings of the Intelligent Computing Methodologies - 18th International Conference, 2022

Research on the Improvement of Teachers' Computational Thinking Teaching Ability Based on STEM86 Platform.

Juan Wang, Xinye Bai, Qianchen Xiang, Langsha An, Minghan Cai, Chunlin He

Proceedings of the IC4E 2022: 13th International Conference on E-Education, E-Business, E-Management, and E-Learning, Tokyo, Japan, January 14, 2022

2020

A Momentum-incorporated Fast Parallelized Stochastic Gradient Descent for Latent Factor Model in Shared Memory Systems.

Hang Gou, Jinli Li, Wen Qin, Chunlin He, Yurong Zhong, Rui Che

Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2020

2019

Elastic-net regularized latent factor analysis-based models for recommender systems.

Dexian Wang, Yanbin Chen, Junxiao Guo, Xiaoyu Shi, Chunlin He, Xin Luo, Huaqiang Yuan

Neurocomputing, 2019

Routing Selection With Reinforcement Learning for Energy Harvesting Multi-Hop CRN.

Xiaoli He, Hong Jiang, Yu Song, Chunlin He, He Xiao

IEEE Access, 2019

Momentum-incorporated Latent Factorization of Tensors for Extracting Temporal Patterns from QoS Data.

Minzhi Chen, Hao Wu, Chunlin He, Sili Chen

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

A Two-Stage DBN-Based Method to Exploring Functional Brain Networks in Naturalistic Paradigm FMRI.

Yin Zhang, Xintao Hu, Chunlin He, Xiangning Wang, Yudan Ren, Huan Liu, Liting Wang, Lei Guo, Tianming Liu

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

Calculating the normalized Laplacian spectrum and the number of spanning trees of linear pentagonal chains.

Chunlin He, Shuchao Li, Wenjun Luo, Liqun Sun

J. Comput. Appl. Math., 2018

Latent source mining of fMRI data via deep belief network.

Lei Li, Xintao Hu, Heng Huang, Chunlin He, Liting Wang, Junwei Han, Lei Quo, Wei Zhang, Tianming Liu

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

A Latent Factor Model Based on Elastic Network for Recommender Systems.

Dexian Wang, Ping Deng, Chunlin He, Baolin Li, Rui Liu

Proceedings of the International Conference on Big Data Engineering and Technology, 2018