Constructing Correlations in Attack Connection Chains Using Active Perturbation. - Qiang Li 008; Yan Lin; Kun Liu; Jiubin Ju (AAIM, 2005)

Weighted Directed Word Graph. - Meng Zhang 006; Liang Hu 001; Qiang Li 008; Jiubin Ju (CPM, 2005)

Constructing Correlations of Perturbed Connections Under Packets Loss and Disorder. - Qiang Li 008; Qinyuan Feng; Kun Liu; Jiubin Ju (ICCNMC, 2005)

Fast Two Phrases PPM for IP Traceback. - Qiang Li 008; Qinyuan Feng; Liang Hu 001; Jiubin Ju (PDCAT, 2005)

Simulating and Improving Probabilistic Packet Marking Schemes Using Ns2. - Qiang Li 008; Hongzi Zhu; Meng Zhang 006; Jiubin Ju (PDCAT, 2005)

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

Online Tracing Scanning Worm with Sliding Window. - Yang Xiang; Qiang Li 008 (Inscrypt, 2007)

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)

Towards social botnet behavior detecting in the end host. - Yuede Ji; Yukun He; Xinyang Jiang; Qiang Li 008 (ICPADS, 2014)

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)

Combating the evasion mechanisms of social bots. - Yuede Ji; Yukun He; Xinyang Jiang; Jian Cao; Qiang Li 008 (Comput. Secur., 2016)

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)

Understanding a prospective approach to designing malicious social bots. - Yukun He; Guangyan Zhang; Jie Wu 001; Qiang Li 008 (Secur. Commun. Networks, 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)

SIoTFog: Byzantine-resilient IoT fog networking. - Jianwen Xu; Kaoru Ota; Mianxiong Dong; Anfeng Liu; Qiang Li 008 (Frontiers Inf. Technol. Electron. Eng., 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)

Revealing Privacy Vulnerabilities of Anonymous Trajectories. - Shan Chang; Chao Li; Hongzi Zhu; Ting Lu 001; Qiang Li 008 (IEEE Trans. Veh. Technol., 2018)

Discovering Suspicious APT Families Through a Large-Scale Domain Graph in Information-Centric IoT. - Zhen Ma; Qiang Li 008; Xiangyu Meng 002 (IEEE Access, 2019)

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)

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)

RevMan: Revenue-aware Multi-task Online Insurance Recommendation. - Yu Li; Yi Zhang; Lu Gan; Gengwei Hong; Zimu Zhou; Qiang Li 008 (AAAI, 2021)

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)

STMTO: A smart and trust multi-UAV task offloading system. - Jialin Guo; Guosheng Huang; Qiang Li 008; Neal N. Xiong; Shaobo Zhang 001; Tian Wang 001 (Inf. Sci., 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)

Privacy-preserving two-parties logistic regression on vertically partitioned data using asynchronous gradient sharing. - Qianjun Wei; Qiang Li 008; Zhipeng Zhou; Zhengqiang Ge; Yonggang Zhang (Peer-to-Peer Netw. Appl., 2021)

Incentive Mechanism for Mobile Devices in Dynamic Crowd Sensing System. - Hengzhi Wang; Yongjian Yang 001; En Wang; Liang Wang 017; Qiang Li 008; Zhiyong Yu 001 (IEEE Trans. Hum. Mach. Syst., 2021)

POSGen: Personalized Opening Sentence Generation for Online Insurance Sales. - Yu Li; Yi Zhang; Weijia Wu; Zimu Zhou; Qiang Li 008 (IEEE Big Data, 2022)

LEGO: A hybrid toolkit for efficient 2PC-based privacy-preserving machine learning. - Zhipeng Zhou; Qiang Fu; Qianjun Wei; Qiang Li 008 (Comput. Secur., 2022)

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)

BTS: A Blockchain-Based Trust System to Deter Malicious Data Reporting in Intelligent Internet of Things. - Ting Li 009; Wei Liu 077; Anfeng Liu; Mianxiong Dong; Kaoru Ota; Neal N. Xiong; Qiang Li 008 (IEEE Internet Things J., 2022)

BPT: A Blockchain-Based Privacy Information Preserving System for Trust Data Collection Over Distributed Mobile-Edge Network. - Ting Li 009; Wei Liu 077; Shangsheng Xie; Mianxiong Dong; Kaoru Ota; Neal N. Xiong; Qiang Li 008 (IEEE Internet Things J., 2022)

Injecting Revenue-awareness into Cold-start Recommendation: The Case of Online Insurance. - Yu Li; Yi Zhang; Helen He Chang; Qiang Li 008 (ICPADS, 2023)

Distributed Backdoor Attacks on Federated Graph Learning and Certified Defenses. - Yuxin Yang 003; Qiang Li 008; Jinyuan Jia 001; Yuan Hong 001; Binghui Wang (CCS, 2024)

Breaking State-of-the-Art Poisoning Defenses to Federated Learning: An Optimization-Based Attack Framework. - Yuxin Yang 003; Qiang Li 008; Chenfei Nie; Yuan Hong 001; Binghui Wang (CIKM, 2024)

FedGMark: Certifiably Robust Watermarking for Federated Graph Learning. - Yuxin Yang 003; Qiang Li 008; Yuan Hong 001; Binghui Wang (NeurIPS, 2024)

DeCoCDR: Deployable Cloud-Device Collaboration for Cross-Domain Recommendation. - Yu Li; Yi Zhang; Zimu Zhou; Qiang Li 008 (SIGIR, 2024)

A Learning-Based Attack Framework to Break SOTA Poisoning Defenses in Federated Learning. - Yuxin Yang 003; Qiang Li 008; Chenfei Nie; Yuan Hong 001; Meng Pang; Binghui Wang (CoRR, 2024)

Efficient Byzantine-Robust and Provably Privacy-Preserving Federated Learning. - Chenfei Nie; Qiang Li 008; Yuxin Yang 003; Yuede Ji; Binghui Wang (CoRR, 2024)

EPIDL: Towards efficient and privacy-preserving inference in deep learning. - Chenfei Nie; Zhipeng Zhou; Mianxiong Dong; Kaoru Ota; Qiang Li 008 (Concurr. Comput. Pract. Exp., 2024)

A Secret Sharing-Inspired Robust Distributed Backdoor Attack to Federated Learning. - Yuxin Yang 003; Qiang Li 008; Yuede Ji; Binghui Wang (ACM Trans. Priv. Secur., 2025)

Efficient Sharing of Energy Consumption Data: A Privacy-Preserving Threshold Aggregation Approach. - Guohao Li 004; Lu Zhou; Jiale Lian; Siyi Liu; Li Yang 005; Yantao Zhong; Qiang Li 008 (IEEE Internet Things J., 2025)