Tulip Lab | All Publications

2025

Mousa Tayseer Jafar, Luxing Yang, Gang Li. An Innovative Practical Roadmap for Optimal Control Strategies in Malware Propagation Through The Integration of RL with MPC. Computers & Security, 2025.

2024

Qian Li, Zhichao Wang, Haiyang Xia, Gang Li, Yanan Cao, Lina Yao, Guandong Xu. HOT-GAN: Hilbert Optimal Transport for Generative Adversarial Network. IEEE Transactions on Neural Networks and Learning Systems, 2024.

Dasith de Silva Edirimuni, Xuequan Lu, Gang Li, Lei Wei, Antonio Robles-Kelly, Hongdong Li. StraightPCF: Straight Point Cloud Filtering. Conference on Computer Vision and Pattern Recognition, 2024.

Baojie Zhang, Ye Zhu, Sutharshan Rajasegarar, Gang Li, Gang Liu. Kernel-based iVAT with adaptive cluster extraction. Knowledge and Information Systems, 2024.

Yishuo Zhang, Nayyar Zaidi, Jiahui Zhou, Tao Wang, Gang Li. Effective interpretable learning for large-scale categorical data. Data Mining and Knowledge Discovery, 2024.

Shiva Raj Pokhrel, Naman Yash, Jonathan Kua, Gang Li, Lei Pan. A Data-Encoding Approach to Quantum Federated Learning: Experimenting with Cloud Challenges. Proceedings of the 8th Asia-Pacific Workshop on Networking, 2024.

Ran Liu, Ming Liu, Min Yu, Jianguo Jiang, Gang Li, Dan Zhang, Jingyuan Li, Xiang Meng, Weiqing Huang. GLIMMER: Incorporating Graph and Lexical Features in Unsupervised Multi-Document Summarization. European Conference on Artificial Intelligence, 2024.

Gengwang Li, Min Yu, Dongliang Fang, Gang Li, Meng Xiang, Jianguo Jiang, Weiqing Huang. X-MBA: Towards Heterogeneous Mixed Boolean-Arithmetic Deobfuscation. IEEE Military Communications Conference, 2024.

Huanhuan Ge, Shiva Raj Pokhrel, Zhenyu Liu, Jinlong Wang, Gang Li. PFL-DKD: Modeling decoupled knowledge fusion with distillation for improving personalized federated learning. Computer Networks, 2024.

Ran Liu, Ming Liu, Min Yu, He Zhang, Jianguo Jiang, Gang Li, Weiqing Huang. SumSurvey: An Abstractive Dataset of Scientific Survey Papers for Long Document Summarization. Association for Computational Linguistics, 2024.

Mousa Tayseer Jafar, Luxing Yang, Gang Li, Qingyi Zhu, Chenquan Gan, Xiaofan Yang. Malware containment with immediate response in IoT networks: An optimal control approach. Computer Communications, 2024.

Mousa Tayseer Jafar, Luxing Yang, Gang Li, Xiaofan Yang. The evolution of the flip-it game in cybersecurity: Insights from the past to the future. Journal of King Saud University - Computer and Information Sciences, 2024.

Mousa Tayseer Jafar, Luxing Yang, Gang Li, Qingyi Zhu, Chenquan Gan. Minimizing Malware Propagation in Internet of Things Networks: An Optimal Control Using Feedback Loop Approach. IEEE Transactions on Information Forensics and Security, 2024.

Ziyan Qiao, Yingxiao Xiang, Thar Baker, Gang Li, Yalun Wu, Endong Tong, Shuanghe Peng, Ye Zhu, Dongwei Xu, Wenjia Niu. Reinforcement Learning-based Security Enhancement for Controlled Optimization of Phases in Intelligent Traffic Signal System. IEEE Transactions on Industrial Cyber-Physical Systems, 2024.

Xiaojuan Cheng, Luxing Yang, Qingyi Zhu, Chenquan Gan, Xiaofan Yang, Gang Li. Cost-effective hybrid control strategies for dynamical propaganda war game. IEEE Transactions on Information Forensics and Security, 2024.

Dev Gurung, Shiva Raj Pokhrel, Gang Li. Performance analysis and evaluation of postquantum secure blockchained federated learning. Computer Networks, 2024.

Yachao Liang, Min Yu, Gang Li, Jianguo Jiang, Boquan Li, Feng Yu, Ning Zhang, Xiang Meng, Weiqing Huang. SpeechForensics: Audio-Visual Speech Representation Learning for Face Forgery Detection. Neural Information Processing Systems Conference, 2024.

2023

Baojie Zhang, Yang Cao, Ye Zhu, Sutharshan Rajasegarar, Gang Liu, Hongxian Li, Maia Angelova, Gang Li. An Improved Visual Assessment with Data-Dependent Kernel for Stream Clustering. Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2023.

Jiahui Zhou, Nayyar Zaidi, Yishuo Zhang, Paul Montague, Junae Kim, Gang Li. Leveraging Generative Models for Combating Adversarial Attacks on Tabular Datasets. Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2023.

Haiyang Xia, Qian Li, Zhichao Wang, Gang Li. Toward Explainable Recommendation Via Counterfactual Reasoning. Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2023.

Dasith de Silva Edirimuni, Xuequan Lu, Zhiwen Shao, Gang Li, Antonio Robles-Kelly, Ying He. IterativePFN: True Iterative Point Cloud Filtering. IEEE Conference on Computer Vision and Pattern Recognition, 2023.

Xin Han, Ye Zhu, Kai Ming Ting, Gang Li. The Impact of Isolation Kernel on Agglomerative Hierarchical Clustering Algorithms. Pattern Recognition, 2023.

Dasith de Silva Edirimuni, Xuequan Lu, Zhiwen Shao, Gang Li, Antonio Robles-Kelly, Ying He. Contrastive Learning for Joint Normal Estimation and Point Cloud Filtering. IEEE Transactions on Visualization and Computer Graphics, 2023.

Huawen Liu, Wenhua Zhou, Hong Zhang, Gang Li, Shichao Zhang, Xuelong Li. Bit Reduction for Locality Sensitive Hashing. IEEE Transactions on Neural Networks and Learning Systems, 2023.

Bing Liu, Wei Luo, Gang Li, Jing Huang, Bo Yang. Do we need an encoder-decoder to model dynamical systems on networks?. International Joint Conference on Artificial Intelligence, 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.

Hao Sun, Xiaofan Yang, Luxing Yang, Kaifan Huang, Gang Li. Impulsive Artificial Defense Against Advanced Persistent Threat. IEEE Transactions on Information Forensics & Security, 2023.

Haiyang Xia, Nayyar Zaidi, Yishuo Zhang, Gang Li. Improving Neural Network's Robustness on Tabular Data with D-Layers. Data Mining and Knowledge Discovery, 2023.

Rongxin Xu, Qiujun Lan, Shiva Raj Pokhrel, Gang Li. A Knowledge Graph based Survey on Distributed Ledger Technology for IoT Verticals. ACM Computing Surveys, 2023.

Huawen Liu, Wenhua Zhou, Zongda Wu, Shichao Zhang, Gang Li, XueLong Li. Refining Codes for Locality Sensitive Hashing. IEEE Transactions on Knowledge and Data Engineering, 2023.

Shu Li, Nayyar A. Zaidi, Meijie Du, Zhou Zhou, Hongfei Zhang, Gang Li. Property Graph Representation Learning for Node Classification. Knowledge and Information Systems, 2023.

Yishuo Zhang, Nayyar Zaidi, Gang Li, Wray Buntine. Masked Ensemble Tabular Data Generator. International Conference on Data Mining, 2023.

Kaifan Huang, Xiaofan Yang, Luxing Yang, Ye Zhu, Gang Li. Mitigating the impact of a false message through sequential release of clarifying messages. IEEE Transactions on Network Science and Engineering, 2023.

Gang Li, Aswani Kumar Cherukuri. Embrace Open-environment Machine Learning for Robust AI. National Science Review, 2023.

Bingtao Wan, Peng Wu, Chai Kiat Yeo, Gang Li. Emotion-Cognitive Reasoning Integrated BERT for Sentiment Analysis of Online Public Opinions on Emergencies. Information Processing and Management, 2023.

Yang Cao, Ye Zhu, Kai Ming Ting, Flora D. Salim, Hongxian Li, Luxing Yang, Gang Li. Detecting Change Intervals with Isolation Distributional Kernel. Journal of Artificial Intelligence Research, 2023.

2022

Yishuo Zhang, Nayyar Zaidi, Jiahui Zhou, Gang Li. Interpretable Tabular Data Generation. Knowledge and Information Systems(KAIS), 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.

Zhiwei Guo, Keping Yu, Alireza Jolfaei, Gang Li, Feng Ding, Amin Beheshti. Mixed Graph Neural Network-based Fake News Detection for Sustainable Vehicular Social Networks. IEEE Transactions on Intelligent Transportation Systems, 2022.

Xin Han, Ye Zhu, Kai Ming Ting, De-Chuan Zhan and Gang Li. Streaming Hierarchical Clustering based on Point-set Kernel. ACM SIGKDD Conference on Knowledge Discovery & Data Mining, 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.

Yishuo Zhang, Nayyar Zaidi, Jiahui Zhou, Gang Li. Discretization inspired defence Algorithm against Adversarial Attacks on Tabular Data. Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2022.

Yishuo Zhang, Nayyar Zaidi, Jiahui Zhou, Gang Li. GANBLR++: Incorporating Capacity to Generate Numeric Attributes and Leveraging Unrestricted Bayesian Networks. SIAM International Conference on Data Mining, 2022.

Qian Li, Zhichao Wang, Shaowu Liu, Gang Li, Guandong Xu. Deep Treatment-Adaptive Network for Causal Inference. International Journal on Very Large Data Bases, 2022.

Qiujun Lan, Baobao Song, Yang Li, Gang Li. Distributed Differentially Private Ranking Aggregation. IEEE Transactions on Computational Social Systems, 2022.

2021

Qian Li, Zhichao Wang, Shaowu Liu, Gang Li, Guandong Xu. Causal Optimal Transport for Treatment Effects Estimation. IEEE Transactions on Neural Networks and Learning Systems, 2021.

Tong Chen, Jiqiang Liu, He Li, Shuoru Wang, Wenjia Niu, Endong Tong, Liang Chang, Qi Alfred Chen, Gang Li. Robustness Assessment of Asynchronous Advantage Actor-Critic based on Dynamic Skewness and Sparseness Computation: A Parallel Computing View. Journal of Computer Science and Technology, 2021.

Yingxiao Xiang, Tong Chen, Yike Li, Yunzhe Tian, Wenjia Niu, Endong Tong, Jiqiang Liu, Gang Li and Qi Alfred Chen. Predicting Congestion Attack of Variable Spoofing Frequency for Reliable Traffic Signal System. The 40th IEEE International Symposium on Reliable Distributed Systems (SRDS), 2021.

Qiujun Lan, Jiaqi Ma, Ziqi Yan, Gang Li. Utility-preserving differentially private skyline query. Expert Systems With Applications (ESWA), 115871,2021.

Yishuo Zhang, Nayyar Zaidi, Jiahui Zhou, and Gang Li. GANBLR: A Tabular Data Generation Model. IEEE International Conference on Data Mining, 2021.

Sumarga Kumar Sah Tyagi, Shiva Raj Pokhrel, Mahyar Nemati, Deepak Kumar Jain, Gang Li, Jinho Choi. Redesigning compound TCP with cognitive edge intelligence for WiFi-based IoT. Future Generation Computer Systems, 2021.

Bin Wang, Shuai Ding, Xiao Liu, X Li, Gang Li. Predictive Classification of ICU Readmission Using Weight Decay Random ForestPredictive Classification of ICU Readmission Using Weight Decay Random Forest. Future Generation Computer Systems, 2021.

Chong Zhang, Xiao Liu, Jia Xu, Tianxiang Chen, Gang Li, Frank Jiang and Xuejun Li. An Edge based Federated Learning Framework for Person Re-identification in UAV Delivery Service. In IEEE International Conference on Web Services (ICWS 2021), September 5-10th,2021.

Tong Chen, Yingxiao Xiang, Yike Li, Yunzhe Tian, Endong Tong, Wenjia Niu, Jiqiang Liu, Gang Li and Qi Alfred Chen. Protecting Reward Function of Reinforcement Learning via Minimal and Non-catastrophic Adversarial Trajectory. In International Symposium on Reliable Distributed Systems (SRDS 2021), September 20-23rd,2021.

Zhichao Wang, Qian Li, Gang Li, Jun Pang, Guandong Xu. Hilbert Sinkhorn Divergence for Optimal Transport. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021), June 19-25th,2021.

Shu Li, Nayyar A Zaidi, Qingyun Liu, Gang Li. Neighbours and Kinsmen: Hateful Users Detection with Graph Neural Network. In The 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2021), May 11-14th,Delhi, India,2021.

2020

Ziqi Yan, Jiqiang Liu, and Gang Li. Private rank aggregation under local differential privacy. International Journal of Intelligent Systems, 2020.

Gang Li, Hao Wang, and Wibowo Hardjawana. New advancement in information technologies for industry 4.0. Enterprise Information Systems, 14(4):402–405,2020.

Gang Li, Srikanth Prabhu, Qingfeng Chen, and Jia Wu. Editorial of special issue on information security and biometrics. Information Discovery and Delivery, 2020.

Xiaojin Wang, Yingxiao Xiang, Wenjia Niu, Endong Tong, Qi Alfred Chen, Gang Li, Jiqiang Liu, Long Li. Explainable Congestion Attack Prediction and Software-level Reinforcement in Intelligent Traffic Signal System. In 2020 IEEE 26th International Conference on Parallel and Distributed Systems (ICPADS 2020), December 2-4th,2020.

Yunzhe Tian, Yingdi Wang, Endong Tong, Wenjia Niu, Liang Chang, Qi Alfred Chen, Gang Li, Jiqiang Liu. Exploring Data Correlation between Feature Pairs for Generating Constraint-based Adversarial Examples. In 2020 IEEE 26th International Conference on Parallel and Distributed Systems (ICPADS 2020), December 2-4th,2020.

Tao Xue, Yu Wen, Bo Luo, Boyang Zhang, Yang Zheng, Yanfei Hu, Yingjiu Li, Gang Li, and Dan Meng. GuardSpark++: Fine-Grained Purpose-Aware Access Control for Secure Data Sharing and Analysis in Spark. In Annual Computer Security Applications Conference (ACSAC 2020), December 7-11th,2020.

Wei Luo, Akib Mashrur, Antonio Robles-Kelly, and Gang Li. Bias-regularised neural- network metamodelling of insurance portfolio risk. In International Joint Conference on Neural Networks (IJCNN 2020), Glasgow (UK), July 19-24th,2020.

2019

Shuai Ding, Shikang Hu, Jinxin Pan, Xiaojian Li, Gang Li, and Xiao Liu. A homogeneous ensemble method for predicting gastric cancer based on gastroscopy reports. Expert Systems, page e12499,2019.

Jinxin Pan, Shuai Ding, Shanlin Yang, Gang Li, and Xiao Liu. Endoscopy report mining for intelligent gastric cancer screening. Expert Systems, 2019.

Qiujun Lan, Xuqing Xu, Haojie Ma, and Gang Li. Multivariable data imputation for the analysis of incomplete credit data. Expert Systems With Applications, 2019.

Gang Li, Hao Wang, and Wibowo Hardjawana. New advancement in information technologies for industry 4.0. Enterprise Information Systems, 2019.

Gang Li and Lynn Batten. Foreword to the special issue of the 8th international conference on applications and techniques for information security (atis 2017). Concurrency and Computation: Practice and Experience, 2019.

Haiyang Xia, Quan Vu, Jianlong Tan, Xiao Li, and Gang Li. Characterizing the outlying feature set of groups. Procedia Computer Science, 165:119 – 125, 2019. ,The 2nd International Conference on Recent Trends in Advanced Computing ICRTAC -DISRUP - TIV INNOVATION, November 11-12,2019.

Ye Lei, Ziwei Hou, Haiyang Xia, Jianlong Tan, Xiao Li, Muhmmad Al-Khiza’ay, and Gang Li. Personalized review selection. Procedia Computer Science, 165:158 – 165, 2019. The 2nd International Conference on Recent Trends in Advanced Computing ICRTAC -DISRUP - TIV INNOVATION, November 11-12,2019.

Sandya De Alwis, Yishuo Zhang, Myung Na, and Gang Li. Duo attention with deep learning on tomato yield prediction and factor interpretation. In PRICAI 2019: Trends in Artificial Intelligence, pages 704-715, Cham,Springer International Publishing,2019.

Xiaojuan Cheng, Wei Luo, Guojun Gan, and Gang Li. Deep neighbor embedding for evaluation of large portfolios of variable annuities. In Knowledge Science, Engineering and Management, pages 472-480, Cham,Springer International Publishing,2019.

Zhichao Wang, Qian Li, Gang Li, and Guandong Xu. Polynomial representation for persistence diagram. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019), June 16- 20th, Long Beach, CA, (PPT Handouts),2019.

V. S. Shankar Sriram, V. Subramaniyaswamy, N. Sasikaladevi, Leo Zhang, Lynn Batten, and Gang Li, editors. Applications and Technologies in Information Security. volume 1116 of Communications in Computer and Information Science, November 22–24,2019.

2018

Gang Li, Jianlong Tan, and Sohail S.Chaudhry. Industry 4.0 and big data innovations. Enterprise Information Systems, 2018.

Gang Li, Jianlong Tan, and Sohail S.Chaudhry. IEEE Access Special Section:Curbing crowdturfing in online social networks. IEEE Access, 6:2169–3536,2018.

Yang Xu, Xiaofeng Li, Haixiao Hu, and Gang Li. Feedback-based metric learning for activity recognition. Expert Systems with Applications, 2018.

Sudha Subramani, Hua Wang, Huy Quan Vu, and Gang Li. Domestic violence crisis identification from facebook posts based on deep learning. IEEE Access, 2018.

Jia Wu, Shirui Pan, Chuan Zhou, Gang Li, Wu He, and Chengqi Zhang. Advances in processing, mining, and learning complex data: From foundations to real-world applications. Complexity, 2018.

Suganeshwari G, Syed Ibrahim SP, Gang Li. Lazy Collaborative Filtering with Dynamic Neighborhoods. Information Discovery and Delivery, Information Discovery and Delivery, 2018.

Yuxin Tao,Hairong Yan,Hang Gao,Yuying Sun,Gang Li. Application of SVR Optimized by Modified Simulated Annealing (MSA-SVR) Air Conditioning Load Prediction Model. Journal of Industrial Information Integration, 2018.

Qiujun Lan, Haojie Ma, Gang Li. Characters-based Sentiment Identification Method for Short and Informal Chinese Text. Information Discovery and Delivery, 46(1): 57-66,2018.

Hongtao Wang, Hongmei Wang, Feng Yi, Hui Wen, Gang Li, Limin Sun. Context-aware personalized path inference from large-scale GPS snippets. Expert Systems with Applications, 91: 78-88,2018.

Iynkaran Natgunanathan, Abid Mehmood, Yong Xiang, Guang Hua, Gang Li, Shaun Bangay. An overview of protection of privacy in multibiometrics. Multimedia Tools and Applications, 77(6): 6753-6773,2018.

Hongtao Wang, Miao Zhao, and Gang Li. Multi-view group anomaly detection. The 27th ACM International Conference on Information and Knowledge Management (CIKM 2018), Oct 22-26,Turin, Italy,2018.

Shaoni Wang, Haiyang Xia, Gang Li, and Jianlong Tan. Group outlying aspects mining. The 11th International Conference on Knowledge Science, Engineering and Management (KSEM 2018), Aug 17-19,Changchun, China,2018.

(KSEM 2018 Best Paper Award)

Feng Yi, Libo Yin, Hui Wen, Hongsong Zhu, Limin Sun, and Gang Li. Mining human periodic behaviors using mobility intention and relative entropy. The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), May 15-18, Australia,2018.

Qingfeng Chen, Jia Wu, Shichao Zhang, Changan Yuan, Lynn Batten, and Gang Li, editors. Applications and Techniques in Information Security. volume 69 of Communications in Computer and Information Science. Springer, November 9-11,2018.

Jie Kong and Gang Li. “Online travel information and searching behavior”, chapter 23, The Routledge handbook of destination marketing. Routledge, 300–315,2018.

2017

Menik Tissera, Robin Doss, Gang Li, Vicky Mak-Hau, Lynn Batten. A Novel Approach for Information Discovery in Wireless Sensor Grids. Journal of Network and Systems Management, 2017.

Gang Li, Wenjia Niu, Lynn Batten, Jiqiang Liu. New Advances in Securing Cyberspace and Curbing Crowdturfing. Concurrency and Computation: Practice and Experience, 2017.

Gang Li, Wenjia Niu, Jianlong Tan, Lynn Batten, Liang Chang. Curbing Collusive Cyber-gossips for Business Brand Management. Enterprise Information Systems, 2017.

Na Pang, Dali Zhu, Gang Li, Shaowu Liu. WarnFi: Non-Invasive WiFi-based Abnormal Activity Sensing Using Non-parametric Model, Military Communications Conference (MILCOM 2017), October 23-25, Baltimore, Maryland, America,2017.

Qian Li, Zhichao Wang, Gang Li, Yanan Cao, Gang Xiong, and Li Guo. Learning Robust Low-Rank Approximation for Crowdsourcing on Riemannian Manifold, International Conference on Computational Science (ICCS 2017), June 12-14, Zürich, Switzerland,2017.

Dali Zhu, Na Pang, Gang Li, Shaowu Liu. NotiFi: A Ubiqutious WiFi-based Abnormal Activity Detection System, International Joint Conference on Neural Networks (IJCNN 2017), May 14-19, Anchorage, Alaska, USA,2017.

Gang Li, Yong Ge, Zili Zhang, Zhi Jin, Michael Blumenstein. Knowledge Science, Engineering and Management. Springer, LNAI 10412,2017.

Lynn Batten, Dong Seong Kim, Xuyun Zhang, Gang Li. Applications and Techniques in Information Security. Springer, CCIS 719,2017.

Tianqing Zhu, Gang Li, Wanlei Zhou, Philip S. Yu. Differential Privacy and Applications. Springer, AIS 69,2017.

2016

Yuemei Xu, Song Ci, Yang Li, Tao Lin, Gang Li. Design and evaluation of coordinated in-network caching model for content centric networking. Computer Networks, 110: 266-283,2016.

Shaowu Liu, Gang Li, Truyen Tran, and Yuan Jiang. Preference Relation-based Markov Random Fields. Machine Learning, 1-24,2016.

Qian Li, Wenjia Niu, Gang Li, Li Guo. Boosting Imbalanced Data Learning with Wiener Process Oversampling. Frontiers of Computer Science, 1-16,2016.

Bo Zhang, Endong Tong, Jie Hao, Wenjia Niu, Gang Li. Energy Efficient Sleep Schedule with Service Coverage Guarantee in Wireless Sensor Networks. Journal of Network and Systems Management, 24(4): 834-858,2016.

Gang Li, Yiqing Tu. Book Review "Advances in Crowdsourcing". Information Technology & Tourism (Springer). Journal of Network and Systems Management, 16(3): 317-319,2016.

Dali Zhu, Na Pang, Gang Li, Wenjing Rong Opportunistic Probe: An Efficient Adaptive Detection Model for Collaborative Intrusion Detection, The 22nd IEEE International Conference on Parallel and Distributed Systems (ICPADS2016), December 13-16, Wuhan, Hubei, China,2016.

Dali Zhu, Na Pang, Gang Li, Shaowu Liu. WiseFi: Activity Localization and Recognition on Commodity Off-the-shelf WiFi Devices, The 18th IEEE International Conference on High Performance Computing and Communications (HPCC 2016), December12-14, Sydney, Australia,2016.

Dali Zhu, Na Pang, Gang Li, Wenjing Rong, Zheming Fan. WiN: Non-Invasive Abnormal Activity Detection Leveraging Fine-grained WiFi Signals, The 14th IEEE International Symposium on Parallel and Distributed Processing with Applications (IEEE TrustCom/BigDataSE/ISPA 2016), August 23-26, Tianjin University, Tianjin, China,2016.

(IEEE TrustCom 2016 Best Student Paper Award)

Qian Li, Wenjia Niu, Gang Li. Riemannian Optimization with Subspace Tracking for Low-rank Recovery, International Joint Conference on Neural Network (IJCNN), July, Vancouver, Canada,2016.

Lynn Batten, Gang Li. Applications and Techniques in Information Security. Springer, CCIS 651,2016.

Zhongzhi Shi, Sunil Vadera, Gang Li. Intelligent Information Processing VIII. Springer, IFIP AICT 486,2016.

Paul Wang, Leon S.L. Wang, Gang Li, Yves Demazeau, Guandong Xu. Proceedings of 2016 International Conference on Behavioral, Economic, Socio – Cultural Computing. IEEE, BESC 16564338,2016.

Gang Li, Yale Yu. The 4th International Conference on Enterprise Systems (ES 2016). IEEE, ES E5984,2016.

2015

Yongli Ren, Gang Li, Wanlei Zhou. A survey of recommendation techniques based on offline data processing. Concurrency and Computation: Practice and Experience, 27(15): 3915-3942,2015.

Gleb Beliakov, Gang Li, Shaowu Liu. Parallel bucket sorting on graphics processing units based on convex optimization. Optimization, 64(4): 1033-1055,2015.

Gang Li, Wenjia Niu, Li Guo, Lynn Batten, Yinlong Liu, Guoyong Cai. Securing cyberspace. Concurrency and Computation: Practice and Experience, 28: 1870-1871,2015.

Gang Li. Book Review "Big Data related Technologies, Challenges and Future Prospects", Information Technology & Tourism (Springer), 15(3): 283-285,2015.

Wenjia Niu, Endong Tong, Qian Li, Gang LI, Xuemin Wen, Jianlong Tan, Li Guo. Exploring Probabilistic Follow Relationship to Prevent Collusive Peer-to-Peer Piracy. Knowledge and Information Systems, 48(1): 111-141,2015.

Menik Tissera, Robin Doss, Gang Li, Lynn Batten. Fast and energy efficient data storage for information discovery in multi-dimensional WSNs, International Telecommunication Networks and Applications Conference (ITNAC), November, Sydney, Australi,2015.

Shaowu Liu, Gang Li, Truyen Tran, Yuan Jiang. Preference Relation-based Markov Random Fields, Asian Conference on Machine Learning (ACML), November, Hong Kong, China,2015.

Qian Li, Wenjia Niu, Gang Li. Lingo: Linearized Grassmannian Optimization for Nuclear Norm Minimization, The 24th ACM International Conference on Information and Knowledge Management (CIKM 2015), October 19-23,Melbourne, Australia,2015.

Wenjia Niu, Gang Li, et. al. Applications and Techniques in Information Security. Springer, CCIS 557,2015.

2014

Yongli Ren, Gang Li and Wanlei Zhou, Modelling personal preferences for Top-N movie recommendations. Web Intelligence and Agent Systems: An International Journal, 12(3): 289-307,2014.

Li Guo, Wenjia Niu, Gang Li. Preface: Special issue on Network Security Behaviour Analysis. Chinese Journal of Computers, 37(1): 2014,2014.

Gleb Beliakov, Gang Li, Huy Quan Vu, Tim Wilkin. Characterizing compactness of geometrical clusters using fuzzy measures. IEEE Transactions on Fuzzy System (TFS), 23(4): 1030-1043,2014.

Wenjia Niu, Gang Li, Quan Z. Sheng, Endong Tong, Ping Liu, Athanasios V. Vasilakos, Li Guo. A Block-Aware Hybrid Data Dissemination with Hotspot Elimination in Wireless Sensor Network. Journal of Network and Computer Applications (JNCA), 44: 120-133,2014.

Yongli Ren, Gang Li, Jun Zhang and Wanlei Zhou. Maximum Imputation Framework for Neighborhood-based Collaborative Filtering. Social Network Analysis and Mining, 4(1): 1-15,2014.

Gang Li, Wenjia Niu, Lynn Batten. Preface - Behavior Data Security Issues in Network Information Propagation. Future Generation of Computer Systems, 36: 120-121,2014.

Qian Li, Wenjia Niu, Gang Li, Endong Tong, Liang Chang, Ping Liu, Li Guo. Recover fault services via complex service-to-node mappings in wireless sensor networks. Journal of Network and Systems Management (JONS), 23(3): 474-501,2014.

Wenjia Niu, Jun Lei, Endong Tong, Gang Li, Zhongzhi Shi, Song Ci. Context-aware Service Ranking in Wireless Sensor Networks. Journal of Network and Systems Management (JONS), 22(1): 50-74,2014.

Shaowu Liu, Truyen Tran, Gang Li, Yuan Jiang. Ordinal Random Fields for Recommender Systems, Asian Conference on Machine Learning (ACML), November, Nha Trang, Vietnam,2014.

Gleb Beliakov, Gang Li, Huy Quan Vu, Tim Wilkin. Fuzzy measures of pixel cluster compactness, IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), June, Beijing, China,2014.

Lynn Batten, Gang Li, Wenjia Niu, Matthew Warren. Applications and Techniques in Information Security. Springer, CCIS 490,2014.

2013

Veelasha Moonsamy, Jia Rong, Shaowu Liu, Mining Permission Patterns for Contrasting Clean and Malicious Android Applications. Future Generation of Computer Systems, 36: 122-132,2013.

Gleb Beliakov, Gang Li, Shaowu Liu. Parallel bucket sorting on graphics processing units based on convex optimization. Optimization, 64(4):1033-1055,2013.

Endong Tong, Wenjia Niu, Gang Li, Ding Tang, Hui Tang and Song Ci. Bloom filter-based Workflow Management to Enable QoS Guarantee in Wireless Sensor Networks. Journal of Network and Computer Applications, 39: 38-51,2013.

Yongli Ren, Gang Li, Wanlei Zhou. A learning method for Top-N recommendations with incomplete data. Social Network Analysis and Mining, 3(4): 1135-1148,2013.

Yongli Ren, Gang Li, Jun Zhang, Wanlei Zhou. Lazy Collaborative Filtering for Datasets with Missing Values. IEEE Transactions on Systems, Man, and Cybernetics,Part B: Cybernetics, 43(6): 1822-1834,2013.

Xiaofeng Wang, Gang Li, Guang Jiang, Zhongzhi Shi. Semantic Trajectory based Event Detection and Event Pattern Mining. Knowledge and information systems, 37(2): 305-329,2013.

Yongli Ren, Gang Li, Wanlei Zhou. Recommendation Techniques Based on Off-Line Data Processing a Multifaceted Survey, The 9th International Conference on Semantics, Knowledge and Grids (SKG), October 3-4, Beijing, China. IEEE2013.

Menik Tissera, Robin Doss, Gang Li, and Lynn Batten. Information discovery in multidimensional wireless sensor networks, International Conference on Information Networking (ICOIN 2013), January 28-30, Bangkok, Thailand.IEEE2013.

Veelasha Moonsamy, Jia Rong, Shaowu Liu, Gang Li and Lynn Batten. Contrasting Permission Patterns between Clean and Malicious Android Applications, The 9th In Security and Privacy in Communication Networks, September 25-28, Sydney, NSW, Australia,2013.

Yongli Ren, Gang Li, Jun Zhang and Wanlei Zhou. AdaM: adaptive-maximum imputation 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.

[code]

Longbing Cao, Hiroshi Motoda, Jaideep Srivastava, Ee-Peng Lim, Irwin King, Philip S. Yu, Wolfgang Nejdl, Guandong Xu, Gang Li, Ya Zhang. Behavior and Social Computing. Springer, LNCS 8178,2013.

2012

D. Moloney, N. Sukhorukova, P. Vamplew, J.Ugon, G. Li, G. Beliakov, C. Philippe, H.Amiel, and A. Ugon. Detecting K-complexes for sleep stage identification using nonsmooth optimisation. ANZIAM Journal, 52: 319-332,2012.

Gleb Beliakov, Gang Li. Improving the speed and stability of the k-Nearest Neighbors method. Pattern Recognition Letters, 33(10): 1296-1301,2012.

Huy Quan Vu, Gang Li, Nadezda Sukhorukova, Gleb Beliakov, Shaowu Liu, Carole Philippe, Helene Amiel, and Adrien Ugon. K-complex detection using a hybrid-synergic machine learning method. Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on, 42(6): 1478-1490,2012.

Yuemei Xu, Wenjia Niu, Hui Tang, Gang Li, Zhijun Zhao, Song Ci. A Policy-based Web Service Redundancy Detection in Wireless Sensor Network. Journal of network and systems management, 21(3): 384-407,2012.

Wenjia Niu, Gang Li. Guest Editorial. Journal of Networks, 7(6): 893-894,2012.

Yongli Ren, Gang Li, Wanlei Zhou. (2012, December). Learning User Preference Patterns for Top-N Recommendations, 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology (WI-IAT), December 4-7, IEEE. (ERA2010 ranking A Conference)2012.

Endong Tong, Wenjia Niu, Hui Tang, Gang Li, Zhijun Zhao. Reasoning-Based context-aware workflow management in wireless sensor network, Service-Oriented Computing-ICSOC 2011 Workshops, Dec 5-8, Paphos, Cyprus. Springer Berlin Heidelberg. (ERA2010 ranking A Conference)2012.

Yongli Ren, Gang Li, Jun Zhang, Wanlei Zhou. The Efficient Imputation Method for Neighbourhood-based Collaborative Filtering, The 21st ACM international conference on Information and knowledge management (CIKM 2012), Octomber 29 - November 02, Maui, Hawaii.(acceptance rate 13.4%) (ERA2010 ranking A Conference)2012.

Yongli Ren, Gang Li, Wanlei Zhou. Learning Rating Patterns for Top-N Recommendations, 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012), August 26-29, Istanbul, Turkey. (acceptance rate 16%)2012.

(Best Paper Award)

Yongli Ren, Gang Li, Wanlei Zhou. Improving Top-N Recommendations with User Consuming Profiles, In PRICAI 2012: Trends in Artificial Intelligence, September 3-7, Kuching, Malaysia. Springer Berlin Heidelberg,2012.

Endong Tong, Wenjia Niu, Gang Li, Hui Tang, Ding Tang, Song Ci. Hierarchical Workflow Management in Wireless Sensor Network, In PRICAI 2012: Trends in Artificial Intelligence, September 3-7, Kuching, Malaysia. Springer Berlin Heidelberg,2012.

Huy Quan Vu, Gang Li and Gleb Beliakov. (2012, June). A Fuzzy Decision Support Method for Customer Preferences Analysis based on Choquet integral, 2012 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), June 10-15, Brisbane, Australia. (ERA2010 ranking A Conference)2012.

[code]

2011

Wenjia Niu, Gang Li, Zhijun Zhao, Hui Tang, Zhongzhi Shi. CARSA: A Context-Aware Reasoning-based Service Agent Model for AI planning of Web Service Composition. Journal of Network and Computer Applications, 34(5): 1757-1770,2011.

Gleb Beliakov, Simon James, Gang Li. Learning Choquet-integral-based metrics for semisupervised clustering. Fuzzy Systems, IEEE Transactions on, 19(3): 562-574,2011.

Qingfeng Chen, Gang Li, Phoebe Chen. Interval-based distance function for identifying RNA structure candidates. Journal of theoretical biology, 269(1): 280-286,2011.

Wenjia Niu, Gang Li, Hui Tang, Zhongzhi Shi. Multi-granularity context model for dynamic Web service composition. ournal of network and computer applications, 34(1): 312-326,2011.

Yangdong Ye, Yongli Ren, Gang Li. Using Local Density Information to Improve IB Algorithms. Pattern recognition letters, 32(2): 310-320,2011.

Jinlong Wang, Shunyao Wu, Gang Li. An Effective Semi-Supervised Clustering Framework Integrating Pairwise Constraints and Attribute Preferences. Computing & Informatics, 31(3),2011.

Jinlong Wang, Shunyao Wu, Gang Li. Zhe Wei. Integrating Instance-level and Attribute-level Knowledge into Document Clustering. Computer Science and Information Systems, 8(3): 635-651,2011.

Xiaofeng Wang, Wenjia Niu, Gang Li, Xinghua Yang, Zhongzhi Shi. Mining Frequent Agent Action Patterns for Effective Multi-agent-Based Web Service Composition, The 7th international conference on Agents and Data Mining Interaction (ADMI 2011), May 2-6, Taipei, Taiwan. Springer-Verlag2011.

2010

Robin Doss, Gang Li, Vicky Mak, MenikTissera. Information Discovery in Mission Critical Wireless Sensor Networks. Computer networks, 54(14): 2383-2399,2010.

Jinlong Wang, Ke Gao, Gang Li. Empirical Analysis of Customer Behaviors in Chinese E-Commerce. Journal of networks, 5(10),2010.

Jinlong Wang, Shunyao Wu, Gang Li. Clustering with instance and attribute level side information. International journal of computational intelligence systems, 3(6): 770-785,2010.

Shunyao Wu, Jinlong Wang, Huy Quan Vu and Gang Li. Text Clustering with Important Words Using Normalization, The 10th annual joint conference on Digital libraries, June 21-25, Gold Coast, Queensland, Australia. ACM2010.

YuKang Tian, Huy Quan Vu. A Multiple Population Genetic Algorithm and its Application in Fuzzy Controller, The 3rd International Symposium on Intelligent Information Technology and Security Informatics (IITSI), April 2-4, Jinggangshan, China. IEEE2010.

Jinlong Wang, Shunyao Wu, Gang Li and Huy Quan Vu. Text Document Clustering with Metric Learning, The 33rd international ACM SIGIR conference on Research and development in information retrieval, July 19-23, Geneva, Switzerland. ACM. (ERA ranking A Conference)2010.

2009

Jinlong Wang, Congfu Xu, Gang Li. Mining Frequent Itemsets in Distorted Databases with Granular Computing. International Journal of pattern recognition and artificial intelligence, 23(04): 825-846,2009.

Jia Rong, Gang Li, Yi-Ping Phoebe Chen. Acoustic Feature Selection for Automatic Emotion Recognition from Speech. Information processing & management, 45(3): 315-328,2009.

Robin Doss, Gang Li, Shui Yu, Vicky Mak, Morshed Chowdhury. Improving the QoS for Information Discovery in Autonomic Wireless Sensor Networks. Pervasive and mobile computing, 5(4): 334-349,2009.

Jinlong Wang, Ke Gao, Yongli Ren, Gang Li. Journal ranking based on social information, The 9th ACM/IEEE-CS joint conference on Digital libraries, June 15-19, Austin, TX, USA. ACM2009.

Jinlong Wang, Ke Gao, Yang Jiao, Gang Li. Study on Ensemble Classification Methods toward Spam Filtering, The 5th International conference on Advanced Data Mining and Applications, August 17-19, 2009, Beijing, China. Springer Berlin Heidelberg2009.

Wenjia Niu, Gang Li, Xinghua Yang, Xu Han, and Zhongzhi Shi. Facilitating Dynamic Web Service Composition with Fine-granularity Context Management, IEEE International Conference on Granular Computing, August 17-19, Nanchang, China. IEEE2009.

Yongli Ren, Yu-Hsn Liu, Jia Rong, Robert Dew. Clustering Interval-valued Data Using an Overlapped Interval Divergence, he 8th Australasian Data Mining Conference, December 1-4, Melbourne, Australia. Australian Computer Society2009.

2008

Yongli Ren, Yangdong Ye, Gang Li. The Density-based Agglomerative Information Bottleneck, PRICAI 2008: Trends in Artificial Intelligence, December 15-19, Hanoi, Vietnam. Springer Berlin Heidelberg2008.

Robin Doss, Gang Li, Shui Yu, Vicky Mak, Morshed Chowdhury. The crossroads approach to information discovery in wireless sensor networks, The 9th international conference on Distributed computing and networking (ICDCN 2008), January 5-8, Kolkata, India. Springer-Verlag2008.

Sam Schmidt, Gang Li, Yi-Ping Phoebe Chen. Medical knowledge discovery from a regional asthma dataset, Advanced Intelligent Computing Theories and Applications With Aspects of Artificial Intelligence, September 15-18, Shanghai, China. Springer Berlin Heidelberg2008.

Yongli Ren, Yangdong Ye, Gang Li. The density connectivity information bottleneck, The 9th International Conference for Young Computer Scientists (ICYCS 2008), November 18-21,Hunan, China. IEEE2008.

Sam Schmidt, Peter Vuillermin, Bernard Jenner, Yongli Ren, Gang Li and Yi-Ping Phoebe Chen. Mining Medical Data: Bridging the Knowledge Divide., eResearch Australasia, 28 September - 3 October 2008, Melbourne, Australi,2008.

Sam Schmidt, Gang Li, Yi-Ping Phoebe Chen. Prediction of Childhood Asthma Hospitalisation Instances using Data Mining Techniques, Pattern Recognition in Bioinformatics (PRIB2008), October 15-17, Melbourne, Australi,2008.

2007

Jingyu Hou, Wei Shi, Gang Li, Wanlei Zhou. An effective non-parametric method for globally clustering genes from expression profiles. Medical & biological engineering & computing, 45(12): 1175-1185,2007.

(2007 Nightingale Prize)

Jia Rong, Yi-Ping Phoebe Chen, Morshed Chowdhury, Gang Li. Acoustic Features Extraction for Emotion Recognition, he 6th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007), July 11-13, Melbourne, Australia,2007.

Jinlong Wang, Congfu Xu, Gang Li, Zhenwen Dai, Guojing Luo. Understanding research field evolving and trend with dynamic Bayesian networks, The 11th Pacific-Asia conference on Advances in knowledge discovery and data mining (PKDD 2007), May 22-25, Nanjing, China. Springer-Verlag2007.

2006

Gang Li, Dong Liu, and Yiqing Tu, Yangdong Ye. Finding the optimal cardinality value for information bottleneck method, The Second international conference on Advanced Data Mining and Applications (ADMA 2006), August 14-16, Xi’an, China. Springer-Verlag2006.

Gang Li, Dong Liu, Yangdong Ye, and Jia Rong. Determine the optimal parameter for information bottleneck method, The 9th Pacific Rim international conference on Artificial intelligence, August 7-11, Guilin, China. Springer-Verlag2006.