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Kang Yin
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2020 – today
- 2024
- [j10]Kang Yin, Elissa Yanting Lim, Seong-Whan Lee:
GITGAN: Generative inter-subject transfer for EEG motor imagery analysis. Pattern Recognit. 146: 110015 (2024) - [j9]Kang Yin, Elissa Yanting Lim, Seong-Whan Lee:
Corrigendum to "GITGAN: Generative inter-subject transfer for EEG motor imagery analysis" [Pattern Recognition 146 (2024) 110015]. Pattern Recognit. 148: 110217 (2024) - [c12]Hye-Bin Shin, Kang Yin, Seong-Whan Lee:
Sparse Multitask Learning for Efficient Neural Representation of Motor Imagery and Execution. BCI 2024: 1-4 - [c11]Kang Yin, Hye-Bin Shin, Hee-Dong Kim:
Pioneering EEG Motor Imagery Classification Through Counterfactual Analysis. BCI 2024: 1-4 - [c10]Hongzun Liu, Kang Yin, Tianyu Sun, Rui Huang, Yunsong Li, Xiao Fang, Zhaojie Liu, Weidong Liu, Guorui Zhou:
De-Anchor: Mitigating Attention Polarization for Lifelong User Behavior Modeling in Click-Through Rate Prediction. WWW (Companion Volume) 2024: 694-697 - 2023
- [c9]Kang Yin, Byeong-Hoo Lee, Byoung-Hee Kwon, Jeong-Hyun Cho:
Target-centered Subject Transfer Framework for EEG Data Augmentation. BCI 2023: 1-4 - [c8]Beichuan Zhang, Chenggen Sun, Jianchao Tan, Xinjun Cai, Jun Zhao, Mengqi Miao, Kang Yin, Chengru Song, Na Mou, Yang Song:
SHARK: A Lightweight Model Compression Approach for Large-scale Recommender Systems. CIKM 2023: 4930-4937 - [i5]Beichuan Zhang, Chenggen Sun, Jianchao Tan, Xinjun Cai, Jun Zhao, Mengqi Miao, Kang Yin, Chengru Song, Na Mou, Yang Song:
SHARK: A Lightweight Model Compression Approach for Large-scale Recommender Systems. CoRR abs/2308.09395 (2023) - [i4]Hye-Bin Shin, Kang Yin, Seong-Whan Lee:
Sparse Multitask Learning for Efficient Neural Representation of Motor Imagery and Execution. CoRR abs/2312.05828 (2023) - [i3]Kang Yin, Hye-Bin Shin, Hee-Dong Kim, Seong-Whan Lee:
Pioneering EEG Motor Imagery Classification Through Counterfactual Analysis. CoRR abs/2312.09456 (2023) - 2022
- [j8]Kai Xie, Zijian Wei, Kang Yin, Songsong Li, Xinyan Yao, Xiaoyu Zhou:
Structural Synthesis of PLC Program for Real-Time Specification Patterns. Int. J. Found. Comput. Sci. 33(6&7): 903-929 (2022) - [j7]Xie Zhang, Chengpei Tang, Kang Yin, Qingqian Ni:
WiFi-Based Cross-Domain Gesture Recognition via Modified Prototypical Networks. IEEE Internet Things J. 9(11): 8584-8596 (2022) - [c7]Chi Chen, Kuan Hu, Weilin Luo, Kang Yin, Ruiyuan Kang, Ying Zhao, Fei Yang:
A 20W Ka-Band Dual-Port Power Amplifier for Communication Satellites. ICTA 2022: 100-101 - [i2]Kang Yin, Byeong-Hoo Lee, Byoung-Hee Kwon, Jeong-Hyun Cho:
Target-centered Subject Transfer Framework for EEG Data Augmentation. CoRR abs/2212.00723 (2022) - 2021
- [j6]Kang Yin, Liantao Wang, Jinxia Zhang:
ST-CSNN: a novel method for vehicle counting. Mach. Vis. Appl. 32(5): 108 (2021) - [j5]Jun-Yan Li, Kang Yin, Chengpei Tang:
SlideAugment: A Simple Data Processing Method to Enhance Human Activity Recognition Accuracy Based on WiFi. Sensors 21(6): 2181 (2021) - [c6]Kang Yin, Chengpei Tang, Xie Zhang, Hele Yao:
Robust Human Activity Recognition System with Wi-Fi Using Handcraft Feature. ISCC 2021: 1-8 - [c5]Xie Zhang, Chengpei Tang, Yasong An, Kang Yin:
WiFi-Based Multi-task Sensing. MobiQuitous 2021: 169-189 - [c4]Yinan Sun, Kang Yin, Hehuan Liu, Si Li, Yajing Xu, Jun Guo:
Meta-Learned Specific Scenario Interest Network for User Preference Prediction. SIGIR 2021: 1970-1974 - [i1]Xie Zhang, Chengpei Tang, Yasong An, Kang Yin:
WiFi-based Multi-task Sensing. CoRR abs/2111.14619 (2021) - 2020
- [j4]Zhu Tang, Yuhang Xiao, Xufeng Wang, Liujie Li, Kang Yin, Yang Jiao, Caixia Zhang, Peng Wang:
Research and application of improving the field service ability of electric power marketing measuring mobile operating based on cloud computing technology. Int. J. High Perform. Syst. Archit. 9(2/3): 117-127 (2020) - [j3]Huaiyu Wan, Shengnan Guo, Kang Yin, Xiaohui Liang, Youfang Lin:
CTS-LSTM: LSTM-based neural networks for correlatedtime series prediction. Knowl. Based Syst. 191: 105239 (2020)
2010 – 2019
- 2018
- [c3]Kang Yin, Wei Chen, Jiahong Zhou, Guoquan Wu, Jun Wei:
STAR: A Specialized Tagging Approach for Docker Repositories. APSEC 2018: 426-435 - [c2]Kang Yin, Jiahong Zhou, Wei Chen, Guoquan Wu, Jiaxin Zhu, Jun Wei:
D-Tagger: A Tag Recommendation Approach for Docker Repositories. Internetware 2018: 3:1-3:10 - 2017
- [j2]Kun Yang, Linyan Xue, Kang Yin, Shuang Liu, Jie Meng:
Microbubble generation and trapping induced by femtosecond laser and acoustic signal analysis. Traitement du Signal 34(1-2): 33-44 (2017) - [j1]Tao Hu, Jian Lv, Kang Yin, Qingsheng Xie, Hui Sun, Qingni Yuan:
A novel human behaviour information coding method based on eye-tracking technology. Traitement du Signal 34(3-4): 153-173 (2017) - [c1]Jie Wang, Wensheng Dou, Yu Gao, Chushu Gao, Feng Qin, Kang Yin, Jun Wei:
A comprehensive study on real world concurrency bugs in Node.js. ASE 2017: 520-531
Coauthor Index
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last updated on 2024-06-13 20:56 CEST by the dblp team
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