GT-Based Performance Improving for Resource Management of Computational Grid. - Xiu-chuan Wu; Li-jie Sha; Dong Guo 002; Lan-fang Lou; Liang Hu 001 (GCC, 2005)

A Grid CPU Availability Forecasting Tool for Windows. - Liang Hu 001; Dong Guo 002; Gaochao Xu; Xiaohui Wei 002; Bingxin Guo; Kuo Tang; Shengli Zhao (IASTED PDCS, 2005)

GcpSensor: a CPU Performance Tool for Grid Environments. - Dong Guo 002; Liang Hu 001; Meng Zhang 006; Zhuopeng Zhang (QSIC, 2005)

Extended Resource Information Services Based-on Directory Service Technology. - Liang Hu 001; Kuo Tang; Kuo Zhao; Dong Guo 002; Bing Liang (CSCWD, 2006)

Succinct Text Indexes on Large Alphabet. - Meng Zhang 006; Jijun Tang; Dong Guo 002; Liang Hu 001; Qiang Li 008 (TAMC, 2006)

Applying Preference-Based Fuzzy Clustering Technology to Improve Grid Resources Selection Performance. - Dong Guo 002; Liang Hu 001; Shilan Jin; Bingxin Guo (FSKD (2), 2007)

A Fast Resource Selection Approach for Grid Applications Based on Fuzzy Clustering Technology. - Liang Hu 001; Dong Guo 002; Xilong Che (HPCC, 2008)

Online Accumulation: Reconstruction of Worm Propagation Path. - Yang Xiang; Qiang Li 008; Dong Guo 002 (NPC, 2008)

Reconstruction of Worm Propagation Path by Causality. - Wei Shi; Qiang Li 008; Jian Kang; Dong Guo 002 (NAS, 2009)

Design and Realization of the Cloud Data Backup System Based on HDFS. - Dong Guo 002; Yong Du; Qiang Li 008; Liang Hu 001 (WISM (3), 2011)

BotCatch: A Behavior and Signature Correlated Bot Detection Approach. - Yuede Ji; Yukun He; Qiang Li 008; Dong Guo 002 (HPCC/EUC, 2013)

BotInfer: A Bot Inference Approach by Correlating Host and Network Information. - Yukun He; Qiang Li 008; Yuede Ji; Dong Guo 002 (NPC, 2013)

A Mulitiprocess Mechanism of Evading Behavior-Based Bot Detection Approaches. - Yuede Ji; Yukun He; Dewei Zhu; Qiang Li 008; Dong Guo 002 (ISPEC, 2014)

Leveraging Behavior Diversity to Detect Spammers in Online Social Networks. - Jian Cao; Qiang Fu; Qiang Li 008; Dong Guo 002 (ICA3PP (3), 2015)

Overhead Analysis and Evaluation of Approaches to Host-Based Bot Detection. - Yuede Ji; Qiang Li 008; Yukun He; Dong Guo 002 (Int. J. Distributed Sens. Networks, 2015)

BotCatch: leveraging signature and behavior for bot detection. - Yuede Ji; Qiang Li 008; Yukun He; Dong Guo 002 (Secur. Commun. Networks, 2015)

Detection of Forwarding-Based Malicious URLs in Online Social Networks. - Jian Cao; Qiang Li 008; Yuede Ji; Yukun He; Dong Guo 002 (Int. J. Parallel Program., 2016)

Combating QR-Code-Based Compromised Accounts in Mobile Social Networks. - Dong Guo 002; Jian Cao; Xiaoqi Wang; Qiang Fu; Qiang Li 008 (Sensors, 2016)

GroupFound: An effective approach to detect suspicious accounts in online social networks. - Bo Feng; Qiang Li 008; Xiaowen Pan; Jiahao Zhang; Dong Guo 002 (Int. J. Distributed Sens. Networks, 2017)

Understanding socialbot behavior on end hosts. - Yukun He; Qiang Li 008; Jian Cao; Yuede Ji; Dong Guo 002 (Int. J. Distributed Sens. Networks, 2017)

Discovering hidden suspicious accounts in online social networks. - Jian Cao; Qiang Fu; Qiang Li 008; Dong Guo 002 (Inf. Sci., 2017)

Combating the evolving spammers in online social networks. - Qiang Fu; Bo Feng; Dong Guo 002; Qiang Li 008 (Comput. Secur., 2018)

Multistage and Elastic Spam Detection in Mobile Social Networks through Deep Learning. - Bo Feng; Qiang Fu; Mianxiong Dong; Dong Guo 002; Qiang Li 008 (IEEE Netw., 2018)

Towards fast and lightweight spam account detection in mobile social networks through fog computing. - Jiahao Zhang; Qiang Li 008; Xiaoqi Wang; Bo Feng; Dong Guo 002 (Peer-to-Peer Netw. Appl., 2018)

QuickSquad: A new single-machine graph computing framework for detecting fake accounts in large-scale social networks. - Xinyang Jiang; Qiang Li 008; Zhen Ma; Mianxiong Dong; Jun Wu 001; Dong Guo 002 (Peer-to-Peer Netw. Appl., 2019)

Stopping the Cyberattack in the Early Stage: Assessing the Security Risks of Social Network Users. - Bo Feng; Qiang Li 008; Yuede Ji; Dong Guo 002; Xiangyu Meng 002 (Secur. Commun. Networks, 2019)

AULD: Large Scale Suspicious DNS Activities Detection via Unsupervised Learning in Advanced Persistent Threats. - Guanghua Yan; Qiang Li 008; Dong Guo 002; Bing Li 021 (Sensors, 2019)

RVCCC: A new variational network of cube-connected cycles and its topological properties. - Zhen Zhang 017; Shuqiang Huang; Dong Guo 002; Yonghui Li 001 (Theor. Comput. Sci., 2019)

Detecting mobile advanced persistent threats based on large-scale DNS logs. - Zongyuan Xiang; Dong Guo 002; Qiang Li 008 (Comput. Secur., 2020)

Discovering Suspicious APT Behaviors by Analyzing DNS Activities. - Guanghua Yan; Qiang Li 008; Dong Guo 002; Xiangyu Meng 002 (Sensors, 2020)

Discovering unknown advanced persistent threat using shared features mined by neural networks. - Longkang Shang; Dong Guo 002; Yuede Ji; Qiang Li 008 (Comput. Networks, 2021)

Practical Two-party Privacy-preserving Neural Network Based on Secret Sharing. - Zhengqiang Ge; Zhipeng Zhou; Dong Guo 002; Qiang Li 008 (CoRR, 2021)

PrivItem2Vec: A privacy-preserving algorithm for top-N recommendation. - Zhengqiang Ge; Xinyu Liu 025; Qiang Li 008; Yu Li; Dong Guo 002 (Int. J. Distributed Sens. Networks, 2021)

Identifying compromised hosts under APT using DNS request sequences. - Ming Li; Qiang Li 008; Guangzhe Xuan; Dong Guo 002 (J. Parallel Distributed Comput., 2021)

Exploring the vulnerability in the inference phase of advanced persistent threats. - Qi Wu; Qiang Li 008; Dong Guo 002; Xiangyu Meng 002 (Int. J. Distributed Sens. Networks, 2022)

A method of classifying IoT devices based on attack sensitivity. - Huifen Wang; Dong Guo 002; Jinrui Wei; Jinze Li (J. Inf. Secur. Appl., 2024)