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.
- 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.
- 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.
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.
- Yishuo Zhang, Nayyar Zaidi, Jiahui Zhou, and Gang Li. GANBLR: A Tabular Data Generation Model. IEEE International Conference on Data Mining, 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.
- 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.
- 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
- 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.
- 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.
- 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.
- 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.
- 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.
- 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
- 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.
- 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.
- 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.
- 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
- 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.
- 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.
- 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.
- 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.
- Aleksandar Trpkovski, Huy Quan Vu, Gang Li, Hua Wang and Rob Law. Automatic Hotel Photo Quality Assessment Based on VisualFeatures. The 25th eTourism community conference (ENTER 2018), January 24-26,Jönköping, Sweden,2018.
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.
- 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.
- 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.
- 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.
- 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.
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.
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.
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.
- 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.
- 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)
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.
- 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.
- 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]
- 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.
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
- Rosanna Leung, Jia Rong, Gang Li, Rob Law. An analysis on Human Personality and Hotel Web Design-A Kohonen Network Approach, Information and Communication Technologies in Tourism 2011, January 26-28, Innsbruck, Austria. Springer Vienna2011.
- 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
- 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, 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
- 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.
- Rob Law, Gang Li. A Causal Analysis for the Expenditure Data of Business Travelers, The 3rd international conference on Advanced Data Mining and Applications(ADMA 2007), August 6-8, Harbin, China. Springer-Verlag2007.
- 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.