Robust recovery of wideband block-sparse spectrum based on MAP and MMSE estimator. - Jia Li; Qiang Wang 023; Jiayan Qiu; Cong Dong (I2MTC, 2015)

An Approach for Scale Suspicious Network Events Detection. - Cong Dong; Yufan Chen; YunJian Zhang; Bo Jiang 013; Dongxu Han; Baoxu Liu (IEEE BigData, 2019)

Optimization of RDMA-Based HDFS Data Distribution Mechanism. - Xiao Zhang; Binbin Liu; Junhao Zhao; Cong Dong (NPC, 2020)

CSMD: a computational subtraction-based microbiome discovery pipeline for species-level characterization of clinical metagenomic samples. - Yu Liu; Paul W. Bible; Bin Zou; Qiaoxing Liang; Cong Dong; Xiaofeng Wen; Yan Li; Xiaofei Ge; Xifang Li; Xiuli Deng; Rong Ma; Shixin Guo; et al. (Bioinform., 2020)

Energy and exergy analysis of poly-generation system of hydrogen and electricity via coal partial gasification. - Chao Ye; Youqu Zheng; Yousheng Xu; Li Guoneng; Cong Dong; Yuanjun Tang; Qinhui Wang (Comput. Chem. Eng., 2020)

CETAnalytics: Comprehensive effective traffic information analytics for encrypted traffic classification. - Cong Dong; Chen Zhang; Zhigang Lu 002; Baoxu Liu; Bo Jiang 013 (Comput. Networks, 2020)

MBTree: Detecting Encryption RAT Communication Using Malicious Behavior Tree. - Cong Dong; Zhigang Lu 002; Yufan Chen; Zelin Cui; Baoxu Liu (CoRR, 2020)

BEDIM: Lateral Movement Detection In Enterprise Network Through Behavior Deviation Measurement. - Cong Dong; Yufan Chen; Yunjian Zhang; Yuling Liu; Zhigang Lu 002; Pu Dong; Baoxu Liu (HPCC/DSS/SmartCity/DependSys, 2021)

MBTree: Detecting Encryption RATs Communication Using Malicious Behavior Tree. - Cong Dong; Zhigang Lu 002; Zelin Cui; Baoxu Liu; Kai Chen 012 (IEEE Trans. Inf. Forensics Secur., 2021)

Only Header: a reliable encrypted traffic classification framework without privacy risk. - Susu Cui; Jian Liu; Cong Dong; Zhigang Lu 002; Dan Du (Soft Comput., 2022)

C-BEDIM and S-BEDIM: Lateral movement detection in enterprise network through behavior deviation measurement. - Cong Dong; Jiahai Yang; Song Liu; Zhi Wang 018; Yuling Liu; Zhigang Lu 002 (Comput. Secur., 2023)

HANDOM: Heterogeneous Attention Network Model for Malicious Domain Detection. - Qing Wang 041; Cong Dong; Shijie Jian; Dan Du; Zhigang Lu 002; Yinhao Qi; Dongxu Han; Xiaobo Ma; Fei Wang 014; Yuling Liu (Comput. Secur., 2023)

CBSeq: A Channel-Level Behavior Sequence for Encrypted Malware Traffic Detection. - Susu Cui; Cong Dong; Meng Shen 001; Yuling Liu; Bo Jiang 013; Zhigang Lu 002 (IEEE Trans. Inf. Forensics Secur., 2023)

ContraMTD: An Unsupervised Malicious Network Traffic Detection Method based on Contrastive Learning. - Xueying Han; Susu Cui; Jian Qin; Song Liu; Bo Jiang 013; Cong Dong; Zhigang Lu 002; Baoxu Liu (WWW, 2024)

Graph-based insider threat detection: A survey. - Yiru Gong; Susu Cui; Song Liu; Bo Jiang 013; Cong Dong; Zhigang Lu 002 (Comput. Networks, 2024)

E-DoH: Elegantly Detecting the Depths of Open DoH Service on the Internet. - Cong Dong; Jiahai Yang 001; Yun Li; Yue Wu; Yufan Chen; Chenglong Li 006; Haoran Jiao; Xia Yin 001; Yuling Liu (CoRR, 2024)

MVDet: Encrypted malware traffic detection via multi-view analysis. - Susu Cui; Xueying Han; Cong Dong; Yun Li; Song Liu; Zhigang Lu 002; Yuling Liu (J. Comput. Secur., 2024)

Unveiling encrypted traffic types through hierarchical network characteristics. - Yufan Chen; Jiahai Yang; Susu Cui; Cong Dong; Bo Jiang 013; Yuling Liu; Zhigang Lu 002 (Comput. Secur., 2024)

ProcSAGE: an efficient host threat detection method based on graph representation learning. - Boyuan Xu; Yiru Gong; Xiaoyu Geng; Yun Li; Cong Dong; Song Liu; Yuling Liu; Bo Jiang 013; Zhigang Lu 002 (Cybersecur., 2024)

Post-Standardization Analysis of DoQ: Deployment, Certificates Ecosystem and Implementation. - Yue Wu; Chenglong Li 006; Wenchong Dong; Cong Dong; Jiahai Yang 001; Hui Zhang 052 (NOMS, 2025)