Qualitative analysis of a stochastic ratio-dependent predator-prey system. - Chunyan Ji; Daqing Jiang; Xiaoyue Li (J. Comput. Appl. Math., 2011)

Asymptotic behavior of global positive solution to a stochastic SIR model. - Daqing Jiang; Jiajia Yu; Chunyan Ji; Ningzhong Shi (Math. Comput. Model., 2011)

Dynamics of a multigroup SIR epidemic model with stochastic perturbation. - Chunyan Ji; Daqing Jiang; Qingshan Yang; Ningzhong Shi (Autom., 2012)

SEE_ME: Software Engineering Education Methodology Exploration. - Xin Feng; Chunyan Ji; Haipeng Guo; Yanyan Ji (TALE, 2015)

Concept-Enhanced Multi-view Clustering of Document Data. - Bassoma Diallo; Jie Hu 007; Tianrui Li 001; Ghufran Ahmad Khan; Chunyan Ji (ISKE, 2019)

Deep Learning for Asphyxiated Infant Cry Classification Based on Acoustic Features and Weighted Prosodic Features. - Chunyan Ji; Xueli Xiao; Sunitha Basodi; Yi Pan 001 (iThings/GreenCom/CPSCom/SmartData, 2019)

Fast Deep Learning Training through Intelligently Freezing Layers. - Xueli Xiao; Thosini Bamunu Mudiyanselage; Chunyan Ji; Jie Hu 007; Yi Pan 001 (iThings/GreenCom/CPSCom/SmartData, 2019)

Using Transfer Learning, SVM, and Ensemble Classification to Classify Baby Cries Based on Their Spectrogram Images. - Lillian Le; Abu Nadim M. H. Kabir; Chunyan Ji; Sunitha Basodi; Yi Pan 001 (MASS Workshops, 2019)

Infant Sound Classification on Multi-stage CNNs with Hybrid Features and Prior Knowledge. - Chunyan Ji; Sunitha Basodi; Xueli Xiao; Yi Pan 001 (AIMS, 2020)

The stationary distribution of hepatitis B virus with stochastic perturbation. - Chunyan Ji (Appl. Math. Lett., 2020)

Stability and asymptoticity of stochastic epidemic model with interim immune class and independent perturbations. - Wenhe Wang; Chunyan Ji; Yingjie Bi; Siyu Liu 004 (Appl. Math. Lett., 2020)

Gradient amplification: An efficient way to train deep neural networks. - Sunitha Basodi; Chunyan Ji; Haiping Zhang; Yi Pan 001 (Big Data Min. Anal., 2020)

Efficient Hyperparameter Optimization in Deep Learning Using a Variable Length Genetic Algorithm. - Xueli Xiao; Ming Yan 007; Sunitha Basodi; Chunyan Ji; Yi Pan 001 (CoRR, 2020)

PK-GCN: Prior Knowledge Assisted Image Classification using Graph Convolution Networks. - Xueli Xiao; Chunyan Ji; Thosini Bamunu Mudiyanselage; Yi Pan 001 (CoRR, 2020)

Infant Cry Classification with Graph Convolutional Networks. - Chunyan Ji; Ming Chen; Bin Li; Yi Pan 001 (ICCCS, 2021)

Predicting Drug Drug Interactions by Signed Graph Filtering-Based Convolutional Networks. - Ming Chen; Yi Pan 001; Chunyan Ji (ISBRA, 2021)

Infant Vocal Tract Development Analysis and Diagnosis by Cry Signals with CNN Age Classification. - Chunyan Ji; Yi Pan 001 (SpeD, 2021)

Covid-19 Detection from Chest X-ray and Patient Metadata using Graph Convolutional Neural Networks. - Thosini Bamunu Mudiyanselage; Nipuna Senanayake; Chunyan Ji; Yi Pan 001; Yanqing Zhang 001 (CoRR, 2021)

A review of infant cry analysis and classification. - Chunyan Ji; Thosini Bamunu Mudiyanselage; Yutong Gao 002; Yi Pan 001 (EURASIP J. Audio Speech Music. Process., 2021)

Pre-Launch Radiometric Characterization of EMI-2 on the GaoFen-5 Series of Satellites. - Minjie Zhao; Fuqi Si; Haijin Zhou; Yu Jiang; Chunyan Ji; ShiMei Wang; Kai Zhan; Wenqing Liu (Remote. Sens., 2021)

Infant Cry Classification Based-On Feature Fusion and Mel-Spectrogram Decomposition with CNNs. - Chunyan Ji; Yang Jiao; Ming Chen; Yi Pan 001 (AIMS, 2022)

SGFNNs: Signed Graph Filtering-based Neural Networks for Predicting Drug-Drug Interactions. - Ming Chen; Wei Jiang; Yi Pan 001; Jianhua Dai; Yunwen Lei; Chunyan Ji (J. Comput. Biol., 2022)

Multi-filter Based Signed Graph Convolutional Networks for Predicting Interactions on Drug Networks. - Ming Chen; Zitao Hu; Xiujuan Lei; Chunyan Ji; Zhao Tong 001; Yi Pan 001 (ISBRA (2), 2024)