The Indicators of M&A or Green Field Investment Behavior: the Evidence from Power Industry. - Qiusheng Zhang; Guanghui Ye; Yunhua Chen (JCIS, 2006)

Application of Granular Computing in Extension Criminal Reconnaissance System. - Yunhua Chen; Yongquan Yu; Bi Zeng; Minghui Wang (GrC, 2007)

Hybrid facial image feature extraction and recognition for non-invasive chronic fatigue syndrome diagnosis. - Yunhua Chen; Weijian Liu; Ling Zhang; Mingyu Yan; Yanjun Zeng (Comput. Biol. Medicine, 2015)

精神疲劳识别的可拓模型与策略生成 (Extension Model and Strategies Generating Mechanism for Mental Fatigue Recognition). - Yunhua Chen; Pinghua Chen (计算机科学, 2015)

一种改进的ZigBee路由优化算法 (Improved Optimization Algorithm for ZigBee Routing). - Likai Du; Ling Zhang; Yunhua Chen (计算机科学, 2015)

Robust Expression Recognition Using ResNet with a Biologically-Plausible Activation Function. - Yunhua Chen; Jin Du; Qian Liu; Bi Zeng (PSIVT Workshops, 2017)

Noisy Softplus: an activation function that enables SNNs to be trained as ANNs. - Qian Liu 005; Yunhua Chen; Steve B. Furber (CoRR, 2017)

An Image Rain Removal algorithm based on the depth of field and sparse coding. - Junfeng Lei; Shangyue Zhang; Wentao Zou; Jinsheng Xiao; Yunhua Chen; Haigang Sui (ICPR, 2018)

Efficient Geographical Information-Based En-route Filtering Scheme in Wireless Sensor Networks. - Chuan-Jun Yi; Geng Yang; Hua Dai 003; Liang Liu 006; Yunhua Chen (KSII Trans. Internet Inf. Syst., 2018)

基于改进深度残差网络的低功耗表情识别 (Energy-efficient Facial Expression Recognition Based on Improved Deep Residual Networks). - Jin Du; Yunhua Chen; Ling Zhang; Yingchao Mai (计算机科学, 2018)

Single image rain removal based on depth of field and sparse coding. - Jinsheng Xiao; Wentao Zou; Yunhua Chen; Wen Wang; Junfeng Lei (Pattern Recognit. Lett., 2018)

具有生物真实性的强抗噪性神经元激活函数 (Bio-inspired Activation Function with Strong Anti-noise Ability). - Yingchao Mai; Yunhua Chen; Ling Zhang (计算机科学, 2019)

Improving the Antinoise Ability of DNNs via a Bio-Inspired Noise Adaptive Activation Function Rand Softplus. - Yunhua Chen; Yingchao Mai; Jinsheng Xiao; Ling Zhang (Neural Comput., 2019)

Occlusion expression recognition based on non-convex low-rank double dictionaries and occlusion error model. - JunLan Dong; Ling Zhang; Yunhua Chen; Wenchao Jiang (Signal Process. Image Commun., 2019)

A Method of Multi-antenna Spatial Spectrum Sensing Based on Noncircular Signals. - Yunhua Chen; Zhi-Ping Shi 001 (ICCT, 2020)

A Trust-based Message Passing Algorithm against Persistent SSDF. - Jia Liu; Hongchuan Fu; Yunhua Chen; Zhiping Shi 001 (ICCT, 2020)

Reservoir generation via simulating the non-local connections between brain functional columns. - Yifan Wu; Yunhua Chen; Pinghua Chen (SSCI, 2020)

Novel shrinking residual convolutional neural network for efficient accurate stereo matching. - Junfeng Lei; Yuxuan Dong; Tao Zhao; Jinsheng Xiao; Yunhua Chen; Bijun Li (J. Vis. Commun. Image Represent., 2020)

Accurate and Efficient Frame-based Event Representation for AER Object Recognition. - Weijie Bai; Yunhua Chen; Ren Feng; Yuliang Zheng 003 (IJCNN, 2022)

An adaptive threshold mechanism for accurate and efficient deep spiking convolutional neural networks. - Yunhua Chen; Yingchao Mai; Ren Feng; Jinsheng Xiao (Neurocomputing, 2022)

Efficient Motion Symbol Detection and Multikernel Learning for AER Object Recognition. - Yunhua Chen; Weijie Bai; Qingkun Huang; Jinsheng Xiao (IEEE Trans. Cogn. Dev. Syst., 2022)

LSTFE-Net: Long Short-Term Feature Enhancement Network for Video Small Object Detection. - Jinsheng Xiao; Yuanxu Wu; Yunhua Chen; Shurui Wang; Zhongyuan Wang 001; Jiayi Ma 001 (CVPR, 2023)

RMPE:Reducing Residual Membrane Potential Error for Enabling High-Accuracy and Ultra-low-latency Spiking Neural Networks. - Yunhua Chen; Zhimin Xiong; Ren Feng; Pinghua Chen; Jinsheng Xiao (ICONIP (3), 2023)

Tiny object detection with context enhancement and feature purification. - Jinsheng Xiao; Haowen Guo; Jian Zhou 011; Tao Zhao; Qiuze Yu; Yunhua Chen; Zhongyuan Wang 001 (Expert Syst. Appl., 2023)

Group IF Units with Membrane Potential Sharing for High-Accuracy Low-Latency Spiking Neural Networks. - Zhenxiong Ye; Weiming Zeng; Yunhua Chen; Ling Zhang; Jinsheng Xiao; Irwin King (IJCNN, 2024)

Efficient Spatio-temporal Event Representation Based on Kalman Filtering and Linear Weighted Timestamps. - Jinyu Zhong; Weiming Zeng; Yunhua Chen; Jinsheng Xiao; Irwin King (IJCNN, 2024)

Collaborative Recommendation with Knowledge Graph Enhancement and Contrastive Learning. - Huiyi Zhong; Pinghua Chen; Yunhua Chen; Honghong Zhou (ISPA, 2024)

Diverse Recommendations With Maximum Entropy Neighbor Selection and Graph Contrast Learning. - Jinhao Zhou; Pinghua Chen; Yunhua Chen; Honghong Zhou (ISPA, 2024)

Education Quality Ranker: A Novel Internet-Scale, Graph-Learning-Based, and Multi-View Quality Model for College/Univeristy Ranking. - Yunhua Chen (IEEE Access, 2024)

High-performance deep spiking neural networks via at-most-two-spike exponential coding. - Yunhua Chen; Ren Feng; Zhimin Xiong; Jinsheng Xiao; Jian K. Liu (Neural Networks, 2024)

SCNet: Spatio-temporal Feature Aggregation and Cross-modal Interactive Encoding Network for DAVIS Object Detection. - Yunhua Chen; Jinyu Zhong; Pinghua Chen; Wei Wu; Jinsheng Xiao (ICMR, 2025)