Sparse gene expression data analysis based on truncated power. - Ningmin Shen; Jing Li 077; Cheng Jin; Peiyun Zhou (BIBM, 2014)

An improved DDS publish/subscribe automatic discovery algorithm. - Haibo Zhai; Yi Zhuang 002; Jing Li 077 (Int. J. High Perform. Comput. Netw., 2014)

Improved structured sparse PCA for cluster-based co-saliency detection. - Ningmin Shen; Jing Li 077 (ICIMCS, 2015)

一种基于稀疏主成分的基因表达数据特征提取方法 (Feature Extraction Method Based on Sparse Principal Components for Gene Expression Data). - Ningmin Shen; Jing Li 077; Peiyun Zhou; Yi Zhuang 002 (计算机科学, 2015)

BSFCoS: 基于分块与稀疏主特征提取的快速协同显著性检测 (BSFCoS: Fast Co-saliency Detection Based on Block and Sparse Principal Feature Extraction). - Peiyun Zhou; Jing Li 077; Ningmin Shen; Yi Zhuang 002 (计算机科学, 2015)

BSFCoS: Block and Sparse Principal Component Analysis-Based Fast Co-Saliency Detection Method. - Ningmin Shen; Jing Li 077; Peiyun Zhou; Ying Huo; Yi Zhuang 002 (Int. J. Pattern Recognit. Artif. Intell., 2016)

基于Uppaal的实时系统AADL数据流模型的转换与验证 (Transformation and Verification Method of AADL Data Flows for Real-time System Using Uppaal). - Ningmin Shen; Jing Li 077; Haiyang Bai; Yi Zhuang 002 (计算机科学, 2016)

Quantified Attribute Access Control Model for Cloud Storage Platform. - Dongmin Li; Jing Li 077; Sai Liu; Chao Wang (ICCCS (2), 2017)

Saliency detection using adaptive background template. - Huafeng Lin; Jing Li 077; Peiyun Zhou; Dachuan Liang; Dongmin Li (IET Comput. Vis., 2017)

基于故障树分析的嵌入式系统AADL模型可靠性分析方法 (Reliability Analysis Method of Embedded System AADL Model Based on Fault Tree Analysis). - Dongmin Li; Jing Li 077; Huafeng Lin (计算机科学, 2017)

基于有效锚节点的多传感器测向测时协同定位算法 (Multi-sensors Direction-and-Time Co-localization Algorithm Based on Efficient Anchor-nodes). - Xiaodong Xia; Yi Zhuang 002; Jing Li 077; Jingjing Gu (计算机科学, 2017)

Instruction SDC Vulnerability Prediction Using Long Short-Term Memory Neural Network. - Yunfei Liu; Jing Li 077; Yi Zhuang 002 (ADMA, 2018)

A Sparse and Low-Rank Matrix Recovery Model for Saliency Detection. - Chao Wang; Jing Li 077; Kexin Li; Yi Zhuang 002 (ADMA, 2018)

A blockchain internet of things data integrity detection model. - Xia Wu; Fanfei Kong; Jupeng Shi; Lina Bao; Feng Gao; Jing Li 077 (AISS, 2019)

Design and implementation of database encryption system for cloud environment. - Luwei Zhang; Tianyu Li; Huang Jun; Dongmin Li; Bei Zhu; Jing Li 077 (AISS, 2019)

CPU and network traffic anomaly detection method for cloud data center. - Zheng Zhu; Rongbin Gu; ChenLing Pan; Youwei Li; Bei Zhu; Jing Li 077 (AISS, 2019)

Transformer Fault Diagnosis Model Based on Iterative Nearest Neighbor Interpolation and Ensemble Learning. - Yunfei Liu; Jing Li 077; Zhao Li 007; Lin Qiao; Shuo Chen; Xuming Lv (DSIT, 2019)

A Power Grid Operations Monitoring Platform Based on Big Data Technology. - Shanting Su; Xiangmao Chang; Jing Li 077; Yuan Qiu 005; Sai Liu; Lin Qiao; Shuo Chen (ICAIS (2), 2019)

Equipment Fault Detection Based on SENCForest. - Shanting Su; Xiangmao Chang; Yuan Qiu 005; Jing Li 077; Tong Li (ICAIS (3), 2019)

Knowledge Graph Embedding Based on Hyperplane and Quantitative Credibility. - Shuo Chen; Lin Qiao; Biqi Liu; Jue Bo; Yuanning Cui; Jing Li 077 (MLICOM, 2019)

High-Dimensional Data Anomaly Detection Framework Based on Feature Extraction of Elastic Network. - Yang Shen; Jue Bo; Kexin Li; Shuo Chen; Lin Qiao; Jing Li 077 (MLICOM, 2019)

An Approach to Cloud Platform Log Anomaly Detection Based on Natural Language Processing and LSTM. - Bei Zhu; Jing Li 077; Rongbin Gu; Liang Wang (ACAI, 2020)

PRAN: Progressive Residual Attention Network for Super Resolution. - Jupeng Shi; Jing Li 077; Yan Chen; Zhengjia Lu (IEEE Access, 2020)

MulRNN: An Enhanced Technique of Multi-Stage-Attention Network for Complex Time Series Prediction. - Wenliang Wang; Jing Li 077; Hanyu Rao; Dong Mao (ACAI, 2021)

ConNet: Deep Semi-Supervised Anomaly Detection Based on Sparse Positive Samples. - Feng Gao; Jing Li 077; Ruiying Cheng; Yi Zhou; Ying Ye (IEEE Access, 2021)

QoS-Aware Task Scheduling in Cloud-Edge Environment. - Shida Lu; Rongbin Gu; Hui Jin; Liang Wang; Xin Li 017; Jing Li 077 (IEEE Access, 2021)

MicroMILTS: Fault Location for Microservices Based Mutual Information and LSTM Autoencoder. - Linwei Yang; Jing Li 077; Kuanzhi Shi; Songlin Yang; Qingfu Yang; Jiangang Sun (APNOMS, 2022)

MAFT: An Image Super-Resolution Method Based on Mixed Attention and Feature Transfer. - Xin Liu 103; Jing Li 077; Yuanning Cui; Wei Zhu; Luhong Qian (APWeb/WAIM (2), 2022)

BSDG: Anomaly Detection of Microservice Trace Based on Dual Graph Convolutional Neural Network. - Kuanzhi Shi; Jing Li 077; Yuecan Liu; Yuzhu Chang; Xuyang Li (ICSOC, 2022)

DSMA: Reference-Based Image Super-Resolution Method Based on Dual-View Supervised Learning and Multi-Attention Mechanism. - Xin Liu 103; Jing Li 077; Tingting Duan; Jiangtao Li; Ye Wang (IEEE Access, 2022)

Microservice extraction using graph deep clustering based on dual view fusion. - Lifeng Qian; Jing Li 077; Xudong He; Rongbin Gu; Jiawei Shao; Yuqi Lu (Inf. Softw. Technol., 2023)