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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j10]Xianfang Song, Yong Zhang, Wanqiu Zhang, Chunlin He, Ying Hu, Jian Wang, Dunwei Gong:
Evolutionary computation for feature selection in classification: A comprehensive survey of solutions, applications and challenges. Swarm Evol. Comput. 90: 101661 (2024)- [j9]Shuo Li
, Lixia Xiao, Chunlin He, Liuke Li, Tao Jiang:
Approximated Expectation Propagation Assisted Decentralized Signal Detection for Uplink Massive MIMO-OTFS Systems. IEEE Trans. Veh. Technol. 73(7): 10280-10286 (2024) - [j8]Qijiang Yuan, Lixia Xiao, Chunlin He, Pei Xiao, Tao Jiang:
Deep Learning-Based Hybrid Precoding for RIS-Aided Broadband Terahertz Communication Systems in the Face of Beam Squint. IEEE Wirel. Commun. Lett. 13(2): 303-307 (2024) - 2023
- [j7]Quan Tang, Liming Xu, Bochuan Zheng, Chunlin He:
Transound: Hyper-head attention transformer for birds sound recognition. Ecol. Informatics 75: 102001 (2023) - [j6]Lin Zhang, Yang Dai, Fuyou Fan, Chunlin He:
Anomaly Detection of GAN Industrial Image Based on Attention Feature Fusion. Sensors 23(1): 355 (2023) - [j5]Minzhi Chen, Chunlin He, Xin Luo:
MNL: A Highly-Efficient Model for Large-scale Dynamic Weighted Directed Network Representation. IEEE Trans. Big Data 9(3): 889-903 (2023) - [c12]Juan Wang, Chunlin He, Xinye Bai, Qiuhong Li, Yunhao Li, Minghan Cai:
Construction and validation of a junior high school biology laboratory class teaching model based on desktop VR. ICETT 2023: 26:1-26:8 - [c11]Litao Zhang, Chunming Yang, Chunlin He, Hui Zhang:
Cross-Modal Method Based on Self-Attention Neural Networks for Drug-Target Prediction. ICONIP (4) 2023: 3-17 - [c10]Zihao Lv, Chunlin He, Liming Xu:
A Study of Chinese Medicine Entity Recognition Method by Fusing Multi-Features and Pointer Networks. SMC 2023: 2087-2092 - [c9]Juan Wang, Hao Wu, Chunlin He:
A Double-Norm Aggregated Latent Factorization of Tensors Model for Temporal-Aware QoS Prediction. SMC 2023: 3913-3918 - [c8]Shuai Li, Ruizhao Zheng, Yang Yang, Chunlin He, Yong Zhang:
A PSO-Based Product Design Tolerance Optimization Method Considering Product Robustness. ICSI (1) 2023: 180-191 - 2022
- [j4]Nan Han, Shaojie Qiao, Kun Yue, Jianbin Huang, Qiang He, Tingting Tang, Faliang Huang, Chunlin He, Chang-an Yuan:
Algorithms for Trajectory Points Clustering in Location-based Social Networks. ACM Trans. Intell. Syst. Technol. 13(3): 43:1-43:29 (2022) - [c7]Juan Wang, Xinye Bai, Qianchen Xiang, Langsha An, Minghan Cai, Chunlin He:
Research on the Improvement of Teachers' Computational Thinking Teaching Ability Based on STEM86 Platform. IC4E 2022: 173-177 - [c6]Wei Fan, Chunlin He, Anping Zeng, Ke Lin:
An Incremental Approach Based on Hierarchical Classification in Multikernel Fuzzy Rough Sets Under the Variation of Object Set. ICIC (3) 2022: 3-17 - 2020
- [c5]Hang Gou, Jinli Li, Wen Qin, Chunlin He, Yurong Zhong, Rui Che:
A Momentum-incorporated Fast Parallelized Stochastic Gradient Descent for Latent Factor Model in Shared Memory Systems. ICNSC 2020: 1-6
2010 – 2019
- 2019
- [j3]Xiaoli He, Hong Jiang, Yu Song, Chunlin He, He Xiao:
Routing Selection With Reinforcement Learning for Energy Harvesting Multi-Hop CRN. IEEE Access 7: 54435-54448 (2019) - [j2]Dexian Wang, Yanbin Chen, Junxiao Guo, Xiaoyu Shi, Chunlin He, Xin Luo, Huaqiang Yuan:
Elastic-net regularized latent factor analysis-based models for recommender systems. Neurocomputing 329: 66-74 (2019) - [c4]Yin Zhang, Xintao Hu, Chunlin He, Xiangning Wang, Yudan Ren, Huan Liu, Liting Wang, Lei Guo, Tianming Liu:
A Two-Stage DBN-Based Method to Exploring Functional Brain Networks in Naturalistic Paradigm FMRI. ISBI 2019: 1594-1597 - [c3]Minzhi Chen, Hao Wu, Chunlin He, Sili Chen:
Momentum-incorporated Latent Factorization of Tensors for Extracting Temporal Patterns from QoS Data. SMC 2019: 1757-1762 - 2018
- [j1]Chunlin He, Shuchao Li, Wenjun Luo, Liqun Sun:
Calculating the normalized Laplacian spectrum and the number of spanning trees of linear pentagonal chains. J. Comput. Appl. Math. 344: 381-393 (2018) - [c2]Dexian Wang, Ping Deng, Chunlin He, Baolin Li, Rui Liu:
A Latent Factor Model Based on Elastic Network for Recommender Systems. BDET 2018: 78-86 - [c1]Lei Li, Xintao Hu, Heng Huang, Chunlin He, Liting Wang, Junwei Han, Lei Quo, Wei Zhang, Tianming Liu:
Latent source mining of fMRI data via deep belief network. ISBI 2018: 595-598
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last updated on 2024-08-23 19:21 CEST by the dblp team
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