Can Wang

Dr Can Wang（王灿）

Senior Lecturer

School of Information and Communication Technology

Griffith University, Gold Coast, QLD, Australia

Phone: 61-07-567 80423

Email: can dot wang at griffith dot edu dot au

Biography

Dr Can Wang has been a Senior Lecturer of Computer Science at Griffith University, Australia since January 2020. Before that, she had been appointed as a Lecturer at Griffith University, Australia since May 2017. Prior to this, she was a Postdoctoral Fellow at Data61, CSIRO, Australia from 2014 to 2016. She received her PhD degree in computer science from University of Technology Sydney (UTS), Australia in 2013, Master's degree and Bachelor's degree from Wuhan University, China in 2009 and 2007, respectively.

Research Interests

Data Analytics, Artificial Intelligence, Machine Learning, Big Data

Teaching

  • Information Tech Fundamentals (Griffith University: 1004ICT)
  • Human Computer Interaction (Griffith University: 1805ICT)
  • Data Mining (Griffith University: 3804ICT)
  • Linear Algebra (Wuhan University)

Publications

Journal Papers

  1. Hui Tian, Wenwen Sheng, Hong Shen, Can Wang. “Truth Finding by Reliability Estimation on Inconsistent Entities for Heterogeneous Data Sets”. Knowledge-Based Systems, vol. 187, article ID 104828, pp. 1-13, 2020. [Impact Factor: 5.101]
  2. Weimin Li, Yuting Fan, Jun Mo, Wei Liu, Can Wang, Minjun Xin, Qun Jin. “Three-hop Velocity Attenuation Propagation Model for Influence Maximization in Social Networks”. World Wide Web, https://doi.org/10.1007/s11280-019-00750-5, pp. 1-13, 2019. [Impact Factor 1.770]
  3. Miaomiao Liu, Peter Karuso, Yunjiang Feng, Esther Kellenberger, Fei Liu, Can Wang, Ronald J Quinn. “Is it time for Artificial Intelligence to Predict the Function of Natural Products based on 2D-Structure”. MedChemComm, vol. 10, no. 10, pp. 1659-1846, 2019. [Impact Factor: 2.394]
  4. Yonghong Yu, Li Zhang, Can Wang, Rong Gao, Weibin Zhao, Jing Jiang. “Neural Personalized Ranking via Poisson Factor Model for Item Recommendation”. Complexity, vol. 2019, article ID 3563674, pp. 1-16, 2019. [Impact Factor 2.591]
  5. Can Wang, Chi-Hung Chi, Zhong She, Longbing Cao, Bela Stantic. “Coupled Clustering Ensemble by Exploring Data Interdependence”. ACM Transactions on Knowledge Discovery from Data (TKDD), vol. 12, no. 6, article 63, pp. 1-38, 2018. [Impact Factor 2.538]
  6. Can Wang, Tao Bo, Yunwei Zhao, Chi-Hung Chi, Kwok-Yan Lam, Sen Wang, Min Shu, “Behavior-Interior-Aware User Preference Analysis based on Social Networks”. Complexity, vol. 2018, article ID 7371209, pp. 1-18, 2018. [Impact Factor 2.591]
  7. Xiaofeng Zhu, Rongyao Hu, Cong Lei, Kim Han Thung, Wei Zheng, Can Wang. “Low-rank Hypergraph Feature Selection for Multi-output Regression”. World Wide Web, https://doi.org/10.1007/s11280-017-0514-5, pp. 1-15, 2017. [Impact Factor 1.770]
  8. Xiaofeng Zhu, Xuelong Li, Shichao Zhang, Zongben Xu, Litao Yu, Can Wang. “Graph PCA Hashing for Similarity Search”. IEEE Transactions on Multimedia (TMM), vol. 19, no. 9, pp. 2033-2044, 2017. [Impact Factor 5.452]
  9. Yonghong Yu, Can Wang, Hao Wang, Yang Gao. “Attributes Coupling based Matrix Factorization for Item Recommendation”. Applied Intelligence, vol. 46, no. 3, pp. 521-533, 2017. [Impact Factor 2.882]
  10. Can Wang, Xiangjun Dong, Fei Zhou, Longbing Cao, Chi-Hung Chi. “Coupled Attribute Similarity Learning on Categorical Data”. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 26, no. 4, pp. 781-797, 2015. [Impact Factor: 11.683]
  11. Can Wang, Longbing Cao, Chi-Hung Chi. “Formalization and Verification of Group Behavior Interactions”. IEEE Transactions on Systems Man Cybernetics-Systems (TSMC-Systems), 2015, vol. 45, no. 8, pp. 1109-1124, 2015. [Impact Factor: 7.351]
  12. Fei Zhou, Sun Wen, Can Wang, Zongqing Lu, Qingmin Liao, “Image Quality Assessment Based on Inter-Patch and Intra-Patch Similarity”. PLoS ONE, vol. 10, no. 3, pp. 1-21, 2015. [Impact Factor: 2.776]
  13. Xin Cheng, Duoqian Miao, Can Wang. “A Link-based Approach to Semantic Relation Analysis”. Neurocomputing, vol. 154, pp. 127-138, 2015. [Impact Factor: 4.072]
  14. Ke Niu, ZhenDong Niu, Yan Su, Can Wang, Hao Lu, and Jian Guan. “A Coupled User Clustering Algorithm based on Mixed Data for Web-based Learning Systems”. Mathematical Problems in Engineering, vol. 2015, Article ID 747628, pp. 1-14, 2015. [Impact Factor: 1.179]
  15. Can Wang, Longbing Cao, Eric Gaussier, Jinjiu Li, Yuming Ou, and Dan Luo. “Coupled Behavior Representation, Analysis, and Reasoning”. IEEE Intelligent Systems, vol. 29, no. 4, pp. 66-69, 2014. [Impact Factor: 4.464]
  16. Yonghong Yu, Can Wang. “Item Attribute-Aware Probabilistic Matrix Factorization for Item Recommendation”. Journal of Internet Technology (JIT), vol. 15, no. 6, pp. 975- 984, 2014. [Impact Factor: 0.715]
  17. Can Wang, Jinming Zhao, Shuang Xie. “Research of Highway Quality Based on Data Analysis”. Journal of Postgraduates in Wuhan University, vol. 24, no. 2, pp.1-5, 2008.
  18. Mingzhi Zhu, Can Wang. “Research and Application of Fuzzy Community-Clustering Algorithm”. Journal of Postgraduates in Wuhan University, vol. 24, no. 4, pp. 1-5, 2008.

Conference Papers

  1. Can Wang, Zhonghao Sun, Yunwei Zhao, Chi-Hung Chi, Willem-Jan van den Heuvel, Kwok-Yan Lam, and Bela Stantic. “Top-N Hashtag Prediction via Coupling Social Influence and Homophily”. The 15Th International Conference on Advanced Data Mining and Applications (ADMA 2019), pp 343-358, 2019. [CORE Ranking: B]
  2. Weitong Chen, Lin Yue, Bohan Li, Can Wang, Quan Z. Sheng. “DAMTRNN: A Delta Attention-Based Multi-task RNN for Intention Recognition”. The 15Th International Conference on Advanced Data Mining and Applications (ADMA 2019), pp. 373-388, 2019. [Best Student Paper Award] [CORE Ranking: B]
  3. Yunwei Zhao, Can Wang, Han Han, Willem-Jan van den Heuvel, Chi-Hung Chi, Weimin Li. “Unfolding the Mixed and Intertwined: A Multilevel View of Topic Evolution on Twitter”. The 15Th International Conference on Advanced Data Mining and Applications (ADMA 2019), pp. 359-369, 2019. [CORE Ranking: B]
  4. Tao Bo, Yue Chen, Can Wang, Yunwei Zhao, Kwok-Yan Lam, Chi-Hung Chi, Hui Tian. “TOM: A Threat Operating Model for Early Warning of Cyber Security Threats”. The 15Th International Conference on Advanced Data Mining and Applications (ADMA 2019), pp. 696-711, 2019. [CORE Ranking: B]
  5. Han Han, Yunwei Zhao, Can Wang, Min Shu, Tao Peng, Chi-Hung Chi, Yonghong Yu. “A Methodology for Resolving Heterogeneity and Interdependence in Data Analytics”. The 15Th International Conference on Advanced Data Mining and Applications (ADMA 2019), pp. 17-33, 2019. [CORE Ranking: B]
  6. Yunwei Zhao, Can Wang, Chi-Hung Chi, Willem-Jan van den Heuvel, Kwok-Yan Lam, Min Shu. “Beyond the Power of Mere Repetition: Forms of Social Communication on Twitter through the Lens of Information Flows and Its Effect on Topic Evolution”. The 2019 International Joint Conference on Neural Networks (IJCNN 2019), pp. 1-8, 2019. [CORE Ranking: A]
  7. Yonghong Yu, Qiang Wang, Li Zhang, Can Wang, Sifan Wu, Boyu Qi and Xiaotian Wu. “Integrating Social Circles and Network Representation Learning for Item Recommendation”. The 2019 International Joint Conference on Neural Networks (IJCNN 2019), pp. 1-8, 2019. [CORE Ranking: A]
  8. Gui Jiang Wang, Jiulei Jiang, Weimin Li, Can Wang. “Influence Maximization Based on Node Attraction Model”. The 4th Cyber Science and Technology Congress (CyberSciTech 2019), pp. 437-441, 2019.
  9. Yunwei Zhao, Can Wang, Chi-Hung Chi, Kwok-Yan Lam, Sen Wang. “A Comparative Study of Transactional and Semantic Approaches for Predicting Cascades on Twitter”, pp. 1212-1218. The 27th International Joint Conference on Artificial Intelligence (IJCAI 2018), 2018. [CORE Ranking: A*]
  10. Xiang Zhang, Lina Yao, Chaoran Huang, Sen Wang, Mingkui Tan, Guodong Long, Can Wang. “Multi-modality Sensor Data Classification with Selective Attention”, pp. 3111-3117. The 27th International Joint Conference on Artificial Intelligence (IJCAI 2018), 2018. [CORE Ranking: A*]
  11. Yonghong Yu, Can Wang, Li Zhang, Rong Gao, Hua Wang. “Geographical Proximity Boosted Recommendation Algorithms for Real Estate”, pp. 51-66. The 19th International Conference on Web Information Systems Engineering (WISE 2018), 2018. [CORE Ranking: A]
  12. Jake Hashim-Jones, Can Wang, Md. Saiful Islam, Bela Stantic. “Interdependent Model for Point-of-Interest Recommendation via Social Networks”, pp. 161-173. The 29th Australasian Database Conference (ADC 2018), 2018.
  13. Ran Liu, Xiang Wang, Can Wang. “A Two-Factor Authentication Scheme based on Negative Databases”. 2018 IEEE Symposium Series on Computational Intelligence (SSCI 2018), pp. 1110-1115, 2018.
  14. Ke Niu, Zhendong Niu, Xiangyu Zhao, Can Wang, Kai Kang, Min Ye. “A Coupled User Clustering Algorithm for Web-based Learning Systems”, pp. 175-182. The 9th International Conference on Educational Data Mining (EDM 2016), 2016. [CORE Ranking: B]
  15. Can Wang, Chi-Hung Chi, Wei Zhou, Raymond Wong. “Coupled Interdependent Attribute Analysis on Mixed Data”, pp. 1861-1867. The 29th AAAI Conference on Artificial Intelligence (AAAI 2015), 2015. [CORE Ranking: A*]
  16. Yunwei Zhao, Chi-Hung Chi, Chen Ding, Raymond Wong, Wei Zhou, Can Wang. “Hierarchical Clustering Using Homogeneity as Similarity Measure for Big Data Analytics”, pp. 348-354. The 12th IEEE International Conference on Services Computing (SCC 2015), 2015. [CORE Ranking: A]
  17. Wei Zhou, Chi-Hung Chi, Can Wang, Raymond Wong. “Bridging the Gap between Spatial Data Sources and Mashup Applications”, pp. 554-561. The 2014 IEEE International Congress on Big Data (BigData Congress 2014), 2014.
  18. Can Wang, Zhong She, Longbing Cao. “Coupled Attribute Analysis on Numerical Data”, pp. 1736-1742. The 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013), 2013. [CORE Ranking: A*]
  19. Can Wang, Zhong She, Longbing Cao. “Coupled Clustering Ensemble: Incorporating Coupling Relationships Both between Base Clusterings and Objects”, pp. 374-385. The 29th IEEE International Conference on Data Engineering (ICDE 2013), 2013. [CORE Ranking: A*]
  20. Jinjiu Li, Can Wang, Longbing Cao, Philip S. Yu. “Efficient Selection of Globally Optimal Rules on Large Imbalanced Data Based on Rule Coverage Relationship Analysis”, pp. 216-224. 2013 SIAM International Conference on Data Mining (SDM 2013), 2013. [CORE Ranking: A]
  21. Jinjiu Li, Can Wang, Wei Wei, Mu Li, Chunming Liu. “Efficient Mining of Contrast Patterns on Large Scale Imbalanced Real-life Data”, pp. 62-73. The 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2013), 2013. (Best Student Paper Award) [CORE Ranking: A]
  22. Yonghong Yu, Can Wang, Yang Gao, Longbing Cao, Xixi Chen. “A Coupled Clustering Approach for Items Recommendation”, pp. 365-376. The 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2013), 2013. [CORE Ranking: A]
  23. Zhong She, Can Wang. “Volatility Analysis via Coupled Wishart Process”, pp. 1-8. The 2013 International Joint Conference on Neural Networks (IJCNN 2013), 2013. [CORE Ranking: A]
  24. Xin Cheng, Duoqian Miao, Can Wang, Longbing Cao. “Coupled Term-Term Relation Analysis for Document Clustering”, pp. 1-8. The 2013 International Joint Conference on Neural Networks (IJCNN 2013), 2013. [CORE Ranking: A]
  25. Can Wang, Mingchun Wang, Zhong She, Longbing Cao. “CD: A Coupled Discretization Algorithm”, pp. 407-418. The 16th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2012), 2012. [CORE Ranking: A]
  26. Zhong She, Can Wang, Longbing Cao. “CCE: A Coupled Framework of Clustering Ensembles”, pp. 2455-2456. The 26th Conference on Artificial Intelligence (AAAI 2012), 2012. [CORE Ranking: A*]
  27. Can Wang, Longbing Cao, Mingchun Wang, Jinjiu Li, Wei Wei, Yuming Ou. “Coupled Nominal Similarity in Unsupervised Learning”, pp. 973-978. The 20th ACM Conference on Information and Knowledge Management (CIKM 2011), 2011. [CORE Ranking: A]
  28. Chayapol Moemeng, Can Wang, Longbing Cao. “Obtaining an Optimal MAS Configuration for Agent-Enhanced Mining Using Constraint Optimization”, pp. 46-57. The 7th International Workshop on Agents and Data Mining Interaction held in conjunction with the 10th International Conference on Autonomous Agents and Multiagent Systems (ADMI with AAMAS 2011), 2011. [CORE Ranking: B]
  29. Juan Zhao, Mingchun Wang, Kun Liu, Can Wang. “Discretization based on Positive Domain and Information Entropy”, pp. 258-262. The 7th International Conference on Computational Intelligence and Security (CIS 2011), 2011.
  30. Can Wang, Longbing Cao. “SAPMAS: Social Activity Process Modeling and Analysis System”. The International Workshop on Behavior Informatics held in conjunction with The 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining (BI with PAKDD 2010), 2010.
  31. Jiayi Feng, Mingchun Wang, Can Wang, Longbing Cao. “Enhanced Co-occurrence Distances For Categorical Data in Unsupervised Learning”, pp. 2071-2078. The 9th International Conference on Machine Learning and Cybernetics (ICMLC 2010), 2010.

Book and Chapter

  1. Mohadeseh Ganji, Lida Rashidi, Benjamin C.M. Fung, Can Wang (Eds). “Trends and Applications in Knowledge Discovery and Data Mining: PAKDD 2018 Workshops”, Springer, 2018.
  2. Jiuyong Li, Longbing Cao, Can Wang, Kay Chen Tan, Bo Liu (Eds.). “Trends and Applications in Knowledge Discovery and Data Mining: PAKDD 2013 International Workshops”, Springer, 2013.
  3. Can Wang, Longbing Cao. “Modeling and Analysis of Social Activity Process”, pp. 21-35. Behavior Computing: Modeling, Analysis, Mining and Decision, Springer, 2012.

Professional Services

o Journal Special Issue Guest Editor: The special issue on Learning Complex Couplings and Interactions published by IEEE Intelligent Systems (Impact Factor: 4.464), in charge of call for papers, arranging the review process, and editing accepted papers. (05/2019-07/2020)

o Local Arrangement Chair: The 20th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT 2019), and receive the Outstanding Service Award. (10/2018 ~ 12/2019)

o Publicity Co-chair: The 7th, 8th, 9th International Symposium on Trust, Security and Privacy for Emerging Applications (TSP 2017, TSP 2018, TSP 2019), in charge of conference publicity work (06/2017 ~ Now)

o Workshop Co-chair: The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2018), in charge of workshop coordination and proceeding edit. (08/2017 ~ 11/2018)

o Co-organizer: Big Data Summit 2017, in charge of contacting and arranging speakers. (20/08/2017~22/08/2017)

o Journal Special Issue Editor: The special issue on Trajectory-based Behavior Analytics published by the Journal of Computer and System Sciences (JCSS, Impact Factor: 1.129, CORE ranking A*), in charge of call for papers, arranging review processes, and editing accepted papers (03/2015 ~ 06/2016).

o Publicity Chair: 2015 IEEE International Conference on Data Science and Advanced Analytics (IEEE DSAA 2015), in charge of conference publicity work (04/2015 ~ 10/2015).

o Hot Topic Track Chair: The hot topic track on the Analytics-as-a-Service in the Cloud held with IEEE SCC 2015, in charge of managing paper submissions, assigning paper reviews, and coordinating result notifications (03/2015 ~ 06/2015).

o Workshop Chair: Trajectory-based Behavior Analytics Workshop held in conjunction with AAAI 2015 in Austin, US (25/01/2015), in charge of the workshop organization.

o Tutorial Co-organizer: UTS/AAI short course on Behavior Analytics (later October 2013); IJCAI 2013 Tutorial on “Complex Behavior Informatics: Modeling, Analysis and Mining” (03/08/2013 ~ 09/08/2013); WI-IAT 2012 Tutorial on “Behavior Computing: Complex Behavior Modeling, Analysis and Mining” (04/12/2012 ~ 07/12/2012).

o Conference Co-chair and Proceedings Chair: PAKDD 2013 held in Gold Coast, Australia, in charge of the conference registration and workshop proceedings (14/04/2013 ~17/04/2013).

o Volunteer Leader: Big Data Workshop held in University of Technology, Sydney, in charge of the registration (15/11/2011); ICDM 2010 held in Sydney, Australia, in charge of the conference preparation and registration, etc. (14/12/2010 ~ 17/12/2010).

o Program Committee: Peer review the academic papers from BI, AAMAS, ADMI, ICTAI, FUZZ-IEEE, ICDM, IEEE BigData, IEEE SCC, PRIMA, IEEE BigData, ACIID, BigComp, CIKM, PAKDD, AAAI, IJCAI (nominated as Distinguished Program Committee Member, CORE ranking A*), CCF BigData, PAKDD, IJCNN, TSMC-A, IWCSS, ADMA, JCSS, TKDD, TKDE, Journal of AAMAS, Information Discovery and Delivery, IEEE Transactions on Fuzzy Systems, and IEEE Transactions on Industrial Informatics.

Grants

Griffith Health Group Funding: Chief Investigator 2020~2021

o Monitoring and Analysing Cardiovascular Patients Health Status via Wearable Devices and IoT Technologies (Project Lead: A/Prof Jing Sun, A/Prof Alan Liew, Dr Sen Wang, Dr Can Wang. Fund: $50,000 AUD)

Griffith GSC Industry Collaborative Grant Scheme: Chief Investigator 07/2019~06/2020

o Patient’s Risk of Readmission Prediction based on Big Data Approach (Project Lead: Dr Can Wang. Fund: 10,000 AUD awarded by Griffith, and 5,000 AUD awarded by industry partner Healthcare Logic)

Australian Meat Processing Corporation: Chief Investigator 01/2019~12/2020

o Using Big Data Analytics to Solve Critical Issues in the Australian Red Meat Industry (Project Lead: Prof Bela Stantic, Dr Can Wang. Fund: 50,000 AUD)

Seed Funding from Griffith’s Institute for Integrated and Intelligent Systems: Chief Investigator

o DECRA Application Support (Project Lead: Dr Can Wang. Fund: 4,000 AUD). 08/2018~12/2019

Griffith 2019 Equipment Scheme 01/2019~12/2019

o ASIoT-EDGE Ecosystem (Project Lead: A/Prof. Li-minn Ang, Prof. Bela Stantic, A/Prof. Alan Liew, Dr Saiful Islam, A/Prof. Jun Jo, Dr Hui Tian, A/Prof. Vallipuram Muthukkumarasamy, Dr Wee Lum Tan, A/Prof. Jun Zhou, Dr David Rowlands, Dr Stephen So, Dr Can Wang, Dr Henry Nguyen. Fund: 40,000 AUD)

Griffith 2018 Equipment Scheme 01/2018~12/2018

o GPU Computing Nodes for Real-time Visualisation (Project Lead: Prof Bela Stantic, Dr Sen Wang, Dr Can Wang, Dr Saiful Islam, Dr Henry Nguyen. Fund: 12,508 AUD)

Electronics and Telecommunications Research Institute (ETRI) Grant: Chief Investigator

o Geostationary Imagery-based Bushfire Detection (CON51094. Project Lead: A/Prof Jun Jo, Dr Can Wang. Fund: 5,718 AUD awarded from industry partner.) 09/2018 ~ 12/2018

New Researcher Grant in Griffith University: Chief Investigator 01/2018 ~ 12/2018

o User and Place-of-Interest Recommendations from Social Networks based on Coupled Behaviour Analytics - The Case of Australian Tourism Market in Gold Coast and Great Barrier Reef (CON50000. Project Lead: Dr Can Wang. Fund: 9,727 AUD awarded from Griffith).

CSIRO Flagship Projects: Co-Investigator 12/2013 ~ 12/2016

o Disaster Emergency

o Trajectory-Driven Behavior Informatics

Australian Research Council Projects: Research Fellow 08/2009 ~ 08/2013

o ARC-DP “Discovering Activity Patterns Driven by High Impacts in Heterogeneous and Imbalanced Data (DP 0988016)”, which provides the full scholarship to support my doctoral studies; ARC-DP “Pattern Discovery of Discriminating Behavior Associated with Hidden Communities (DP 1096218)”.

o ARC-LP “Pattern Analysis and Risk Control of E-Commerce Transactions to Secure Online Payments (LP 0989721)”; and ARC-LP “Dynamic Customer/Asset Interaction Modeling through Novel Industrial Behavior Networks (LP 120100566)”.

Collaborated Project (with HongKong University): Co-Investigator 09/2007 ~ 09/2010

o “Real Estate Pricing Model and Analysis” supported by Natural Science Foundation of China (No. 70771081) and 973 National Fundamental Research Fund (No. 2007CB310804).

National Undergraduate Project: Chief Investigator 01/2007 ~ 06/2008

o “Finding Community Structure in Complex Networks” supported by National Innovative Experiment Program (Project Lead: Dr Can Wang. Fund: 12,000 Yuan).

Social Practical Project: Chief Investigator 07/2007 ~ 08/2007

o Participate in the 2007 Social Practical Activity in Wuhan University as a leader. This research activity has been evaluated as the third prize with the outcome of a paper called “The Airplane Seating Problem” (Project Lead: Dr Can Wang).

Awards

Prizes:

  • The Third Prize in the 2007 Social Practical Activities of Summer Holiday [12/2007]
  • The Second Prize in the 4th National Mathematical Modeling Contest for Postgraduate [10/2007]
  • The Third Prize in the US Mathematical Contest in Modeling (MCM-COMAP) [02/2007]
  • The Third Prize in the China Undergraduate Mathematical Contest in Modeling (CUMCM) [09/2006]
  • The Third Prize in the National Undergraduate English Competition [04/2004]
  • The Third Prize in the University Mathematics Competition [12/2003]
  • The First Prize in the Provincial High School Research “Study on the Stomach Cancer” [11/2002]
  • The Third Prize in the National High School Mathematics Competition [10/2002]

Scholarships:

  • The Student Traveling Grant from ICDE 2013 Organizers (AUD 600) [04/2013]
  • The Student Traveling Fund from PAKDD 2012 Organizers (MYR 1000) [05/2012]
  • The Top Conference Traveling Fund from UTS (AUD 1600, 3700, 4400) [04/2013, 05/2012, 10/2011]
  • The Full Scholarship from UTS to Support my Doctoral Studies [08/2009]
  • The Hua Wei Special Scholarship for Postgraduates (2 people out of 260) [09/2008]
  • The First Scholarship (full scholarship) for Postgraduates [09/2008, 09/2007]
  • The Second University Scholarship for Undergraduates [10/2006, 10/2005]
  • The First University Scholarship and Zhao Yingqing Mathematical Scholarship [10/2004]

Honors:

  • In 2019, get the honor of the Best Student Paper Award in ADMA 2019 held in Dalian, China.
  • In 2015, get the honor of the Outstanding Performance in 2014/2015 from CSIRO, Australia.
  • In 2013, get the honor of the Best Student Paper Award in PAKDD 2013 held in Gold Coast, Australia.
  • In 2008, get the honor of the Outstanding Postgraduate in Wuhan University.
  • In 2007, get the honor of the Excellent Graduate in Wuhan University.
  • In 2006, get the honor of the Outstanding Secretary in my College.
  • In 2005, get the honor of the Excellent Minister of Student Council.
  • In 2006, 2005 and 2004, get the honor of the Outstanding Student in Wuhan University.