Kexin He

According to our database, Kexin He authored at least 10 papers between 2018 and 2024.

Collaborative distances:

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

2024

Effects of High-Load Bench Press Training with Different Blood Flow Restriction Pressurization Strategies on the Degree of Muscle Activation in the Upper Limbs of Bodybuilders.

Kexin He, Yao Sun, Shuang Xiao, Xiuli Zhang, Zhihao Du, Yanping Zhang

Sensors, January, 2024

MCFP: A multi-target 3D perception method with weak dependence on 2D detectors.

Haoran Guo, Mingyun He, Fan Li, Kexin He, Lina Chen

Pattern Recognit. Lett., 2024

MC-DBN: A Deep Belief Network-Based Model for Modality Completion.

Zihong Luo, Zheng Tao, Yuxuan Huang, Kexin He, Chengzhi Liu

CoRR, 2024

MC-DBN: A Deep Belief Network-Based Model for Modality Completion.

Zihong Luo, Chengzhi Liu, Zheng Tao, Kexin He, Yitao Xu

Proceedings of the Pattern Recognition - 27th International Conference, 2024

2020

Staged Training Strategy and Multi-Activation for Audio Tagging with Noisy and Sparse Multi-Label Data.

Kexin He, Yuhan Shen, Wei-Qiang Zhang, Jia Liu

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Learning How to Listen: A Temporal-Frequential Attention Model for Sound Event Detection.

Yu-Han Shen, Ke-Xin He, Wei-Qiang Zhang

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Hierarchical Pooling Structure for Weakly Labeled Sound Event Detection.

Ke-Xin He, Yu-Han Shen, Wei-Qiang Zhang

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Multiple Neural Networks with Ensemble Method for Audio Tagging with Noisy Labels and Minimal Supervision.

Kexin He, Yuhan Shen, Wei-Qiang Zhang

Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events 2019 (DCASE 2019), 2019

Dilated-Gated Convolutional Neural Network with A New Loss Function on Sound Event Detection.

Ke-Xin He, Wei-Qiang Zhang, Jia Liu, Yao Liu

Proceedings of the 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2019

2018

SAM-GCNN: A Gated Convolutional Neural Network with Segment-Level Attention Mechanism for Home Activity Monitoring.

Yu-Han Shen, Ke-Xin He, Wei-Qiang Zhang

Proceedings of the 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2018