2024
- Aswani Kumar Cherukuri, Sumaiya Thaseen Ikram, Gang Li, Xiao Liu. Encrypted Network Traffic Analysis. Springer, 2024.
2023
- Yang Cao, Shiva Pokhrel, Ye Zhu, Robin Doss, Gang Li. Automation and Orchestration of Zero Trust Architecture: Potential Solutions and challenges. Machine Intelligence Research, 2023.
- Aiting Yao, Gang Li, Xuejun Li, Frank Jiang, Jia Xu, Xiao Liu. Differential privacy in edge computing-based smart city Applications:Security issues, solutions and future directions. Array, 2023.
2022
- Eirini Eleni Tsiropoulou, Christos Douligeris, Luca Foschini, Gang Li, Theofanis P Raptis. Guest Editorial: 26th IEEE Symposium on Computers and Communications (ISCC 2021) Selected Papers. Computer Networks, 109167,2022.
- Rongxin Xu, Shiva Pokhrel, Qiujun Lan, Gang Li. FAIR-BFL: Flexible and Incentive Redesign for Blockchain-based Federated Learning. International Conference on Parallel Processing, 2022.
- Tao Xue, Yu Wen, Bo Luo, Gang Li, Yingjiu Li, Boyang Zhang, Yang Zheng, Yanfei Hu, Dan Meng. SparkAC: Fine-Grained Access Control in Spark for Secure Data Sharing and Analytics. IEEE Transactions on Dependable and Secure Computing, 2022.
- Baobao Song, Qiujun Lan, Kevin Yang Li, Gang Li. Distributed Differentially Private Ranking Aggregation. Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2022.
- Qiujun Lan, Baobao Song, Yang Li, Gang Li. Distributed Differentially Private Ranking Aggregation. IEEE Transactions on Computational Social Systems, 2022.
2021
- Jianguo Jiang, Boquan Li, Baole Wei, Gang Li, Chao Liu, Weiqing Huang, Meimei Li, Min Yu. FakeFilter: A cross-distribution Deepfake detection system with domain adaptation. Journal of Computer Security, 2021.
- Jianguo Jiang, Qiang Liu, Min Yu, Gang Li, Mingqi Liu, Chao Liu and Weiqing Huang. Landscape-Enhanced Graph Attention Network for Rumor Detection. In Knowledge Science, Engineering and Management (KSEM 2021), August 14-16th,2021.
- Jianguo Jiang, Chenghao Wang, Min Yu, Chenggang Jia, Gang Li, Chao Liu and Weiqing Huang. NFDD: A dynamic malicious document detection method without manual feature dictionary. In International Conference on Wireless Algorithms, Systems, and Applications (WASA 2021), June 25-27th,2021.
- Degang Sun, Yunting Guo, Min Yu, Gang Li, Chao Liu, Jianguo Jiang, Weiqing Huang. FUNC-ESIM: A Dual Pairwise Attention Network for Cross-version Binary Function Matching. In International Joint Conference on Neural Networks (IJCNN 2021), July 18-22nd,2021.
2020
- Jianguo Jiang, Zhaoce Liu, Min Yu, Gang Li, Song Li, Chao Liu and Weiqing Huang. HeterSupervise: Package-Level Android Malware Analysis Based on Heterogeneous Graph. In 22nd IEEE International Conference on High Performance Computing and Communications (IEEE HPCC-2020), December 14-16th,2020.
- Jianguo Jiang, Gengwang Li, Min Yu, Gang Li, Chao Liu, Zhiqiang Lv, Bin Lv, and Weiqing Huang. Similarity of binaries across optimization levels and obfuscations. In European Symposium on Research in Computer Security (ESORICS'20), September 14-18th,Guildford, United Kingdom,2020.
- Chao Liu, Chenzhe Lou, Min Yu, S.M. Yiu, K.P. Chow, Gang Li, Jianguo Jiang, and Weiqing Huang. A novel adversarial example detection method for malicious pdfs using multiple mutated classifiers. In DFRWS APAC 2020, May 17-21st,Sydney, Australia,2020.
- Jianguo Jiang, Yue Lu, Min Yu, Gang Li, Chao Liu, Shaohua An, and Weiqing Huang. Ces2vec: A confidentiality-oriented word embedding for confidential information detection. The 25th Symposium on Computers and Communications (ISCC'20), July 7-10th,2020.
- Jianguo Jiang, Yue Lu, Min Yu, Gang Li, Yantao Jia, Jiafeng Guo, Chao Liu, and Weiqing Huang. Cidetector: Semi-supervised method for multi-topic confidential information detection. In Proceedings of the 24th European Conference on Artificial Intelligence (ECAI 2020), 10-12th June,Santiago,2020.
2019
- Min Yu, Jianguo Jiang, Gang Li, Chenzhe Lou, Yunzheng Liu, Chao Liu, and Weiqing Huang. Malicious documents detection for business process management based on multi-layer abstract model. Future Generation Computer Systems, 2019.
- Chao Liu, Xinghua Wu, Min Yu, Gang Li, Jianguo Jiang, Weiqing Huang, and Xiang Lu. A Two-Stage Model Based on BERT for Short Fake News Detection. In Knowledge Science, Engineering and Management, pages 172-183, Cham,Springer International Publishing,2019.
- Min Yu, Jianguo Jiang, Gang Li, Jingyuan Li, Chenzhe Lou, Chao Liu, Weiqing Huang, and Yuanzhuo Wang. A unified malicious documents detection model based on two layers of abstraction. In Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications (HPCC’19), August 10th - August 12th, Zhang Jiajie, China,2019.
- Jianguo Jiang, Song Li, Min Yu, Gang Li, Chao Liu, Kai Chen, Hui Liu, and Weiqing Huang. Android malware family classification based on sensitive opcode sequence. The 24th Symposium on Computers and Communications (ISCC 2019), June 29-July 3rd, Barcelone, Spain,2019.
2018
- Ping Xiong, Lefeng Zhang, Tianqing Zhu, Gang Li, and Wanlei Zhou. Private collaborative filtering under untrusted recommender server. Future Generation Computer Systems, 2018.
- Tianqing Zhu,Ping Xiong,Gang Li,Wanlei Zhou,Philip S. Yu. Differentially private model publishing in cyber physical systems. Future Generation Computer Systems, 2018.
- Chao Liu, Jianan Li, Min Yu, Gang Li, Bo Luo, Kai Chen, Jianguo Jiang, and Weiqing Huang. Urefflow: A unified android malware detection model based on reflective calls. In 2018 IEEE 37th International Performance Computing and Communications Conference (IPCCC), pages 1–7,2018.
- Jianguo Jiang, Song Li, Min Yu, Kai Chen, Chao Liu, Weiqing Huang, and Gang Li. Mrdroid: A multi-act classification model for android malware risk assessment. In 2018 IEEE 15th International Conference on Mobile Ad Hoc and Sensor Systems (MASS), pages 64–72. IEEE, Chengdu, China,2018.
- Jianguo Jiang, Yue Lu, Min Yu, Gang Li, Chao Liu, Weiqing Huang, and Fangtao Zhang. Sentiment embedded semantic space for more accurate sentiment analysis. The 11th International Conference on Knowledge Science, Engineering and Management (KSEM 2018), Aug 17-19, Changchun, China,2018.
- Jianguo Jiang, Qian Yu, Min Yu, Gang Li, Jiuming Chen, Kunying Liu, Chao Liu and Weiqing Huang. ALDD: A Hybrid Traffic-User Behavior Detection Method for Application Layer DDoS. The 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications (IEEE TrustCom-18), July 31th - August 3rd, NewYork, USA,2018.
2017
- Tianqing Zhu, Gang Li, Ping Xiong, Wanlei Zhou. Answering Differentially Private Queries for Continual Datasets Release. Future Generation Computer Systems, 2017.
- Tianqing Zhu, Gang Li, Wanlei Zhou, and Philip S Yu. Differentially Private Data Publishing and Analysis: a Survey. IEEE Transactions on Knowledge and Data Engineering, 29(8): 1619-1638,2017.
- Tianqing Zhu, Ping Xiong, Gang Li, Wanlei Zhou, Philip S. Yu. Differentially Private Query Learning: from Data Publishingto Model Publishing, 2017 IEEE International Conference on Big Data (IEEE BigData 2017), Dec 11-14, Boston, MA, USA,2017.
- Min Li, Yunzheng Liu, Min Yu, Gang Li, Yongjian Wang and Chao Liu. FEPDF: A Robust Feature Extractor for Malicious PDF Detection, The 16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (IEEE TrustCom-17), August 1-4, Sydney, Australia,2017.
- Elise Wong, Rob Law, Gang Li. Reviewing Geotagging Research in Tourism, The 5th International Conference on Sustainble Development (ICSD 2017), September 6-7, Rome, Italy,2017.
2015
- Tianqing Zhu, Ping Xiong, Gang Li, Wanlei Zhou. Correlated differential privacy: hiding information in non-IID data set. IEEE Transactions on Information Forensics and Security, 10(2): 229-242,2015.
- Tianqing Zhu, Gang Li, Yongli Ren, Wanlei Zhou, Ping Xiong. Privacy Preserving Data Release for Tagging Recommender System, Web Intelligence, 13: 229-246,2015.
- Ping Xiong, Tianqing Zhu, Wenjia Niu, Gang Li. A Differentially Private Algorithm for Location Data Release. Knowledge and Information Systems, 47(3): 647-669,2015.
- Tianqing Zhu, Gang Li, Wanlei Zhou, Ping Xiong, Cao Yuan. Privacy Preserving Topic Model for Tagging Recommender Systems. Knowledge and Information Systems, 46(1): 81-88,2015.
2014
- Ping Xiong, Xiaofeng Wang, Wenjia Niu, Tianqing Zhu, and Gang Li. Android malware detection with contrasting permission patterns. Communications, China, 11(8): 1-14,2014.
- Tianqing Zhu, Gang Li, Lei Pan, Yongli Ren, Wanlei Zhou. Privacy Preserving Collaborative Filtering for KNN Attack Resisting. Social Network Analysis and Mining, 4(1): 1-14,2014.
- Ping Xiong, Tianqing Zhu, Lei Pan, Wenjia Niu, Gang Li. Privacy Preserving in Location Data Release: A Differential Privacy Approach, The 13th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2014), December, Gold Coast,Australia,2014.
- Tianqing Zhu, Gang Li, Wanlei Zhou, Ping Xiong, and Cao Yuan. Deferentially Private Tagging Recommendation Based on Topic Model, The 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), May 2014, Tainan, Taiwan,2014. (Best Student Paper Award)
- Huy Quan Vu, Gleb Beliakov, Gang Li. A Choquet Integral Toolbox and its Application in Customer’s Preference Analysis. in Data Mining Applications with R, Academic Press 247-272,2014. [code]
2013
- Tianqing Zhu, Yongli Ren, Wanlei Zhou, Jia Rong, Ping Xiong. An Effective Privacy Preserving Algorithm for Neighborhood-based Collaborative Filtering. Future Generation Computer Systems, 36: 142-155,2013.
- Tianqing Zhu, Gang Li, Yongli Ren, Wanlei Zhou, Ping Xiong. Privacy Preserving for Tagging Recommender Systems, 2013 IEEE/WIC/ACM International Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), November 17-20, 2013 in Atlanta, GA USA. IEEE. (ERA2010 ranking A Conference)2013.
- Tianqing Zhu, Gang Li, Yongli Ren, Wanlei Zhou and Ping Xiong. Differential privacy for neighborhood-based collaborative filtering, 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013), Aug 25-28, 2013 in Niagara Falls, Canada. Full Paper. (acceptance rate 13%)2013.
- Yongli Ren, Tianqing Zhu, Gang Li, Wanlei Zhou. Top-N Recommendations by Learning User Preference Dynamics, The 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2013), April 14-17, Gold Coast, Australia. Springer. (ERA2010 ranking A Conference)2013.
2009
- Yi-ping Phoebe Chen, Jia Rong, Gang Li. Advanced Graph Mining Methods for Protein Analysis. in Biological Data Mining., Chapman & Hall/CRC Press,2009.
- Gang Li, Robin Doss. Heath, F.; Rice-Lively, M. L. & Furuta, R. (ed.) Energy-Efficient Medium Access Control in Wireless Sensor Networks. in Handbook of Wireless Ad Hoc and Sensor Networks, Springer,2009.