Short Bio

Yunjun Gao is now a full professor at the College of Computer Science, Zhejiang University (ZJU), Hangzhou, China. He received the Ph.D. degree in computer science from ZJU in 2008. Prior to joining ZJU in 2010, he was a research assistant or postdoctoral research fellow (scientist) or visiting professor/scholar in the City University of Hong Kong (CityU, China), Singapore Management University (SMU, Singapore), Simon Fraser University (SFU, Canada), and Nanyang Technological University (NTU, Singapore), respectively. His primary research areas are Database, Big Data Management and Analytics, and AI Interaction with DB Technology. In particular, his current research interests include Data-Driven Machine Learning, Big Graph Data Management and Mining, Metric and Incomplete/Uncertain Data Management, Geo-Social Data Processing, Data Quality and Pricing, Database Usability, and Spatial and Spatio-Temporal Databases. He has published more than 100 papers on several premium/leading journals including TODS, VLDBJ, TKDE, TOIS, TFS, TITS, and DKE, and various prestigious international conferences such as SIGMOD, VLDB, ICDE, SIGIR, EDBT, and DASFAA. He is a senior member of the CCF; a member of the ACM and the IEEE; an associate editor (editorial board member) of DAPD and IJSSOE; and a guest editor of WWWJ, IJDSN, and DSE. He is/was a referee/reviewer of several top/important journals such as TODS, VLDBJ, TKDE, TMC, TKDD, DMKD, Information Sciences, Information Systems, GeoInformatica, WWWJ, JCST, etc.; and he is/has serving/served as an organization committee (e.g., PC co-chairs, workshop co-chairs, publication chair, publicity co-chair, etc.)or a program committee member for various conferences such as SIGMOD, VLDB, ICDE, CIKM, DASFAA, ICDM, SIGSPATIAL GIS, APWeb, WAIM, WISE, MDM, ER, etc. He was a recipient of the Best Paper Award of APWeb-WAIM 2018, “2017 CCF Outstanding Doctoral Dissertation Award” (Supervisor), “2016 Zhejiang Provincial Outstanding Master’s Dissertation Award” (Supervisor), the First Prize of the Ministry of Education Science and Technology Progress Award (2016), the Winner of National Outstanding Young Scientist Fund Project (2015), the Nomination of the Best Paper Award of SIGMOD 2015, One of the Best Papers in ICDE 2015, and The First Prize of Zhejiang Province Science and Technology Award First (2011).

Announcement

I am looking for undergraduate, master, PhD students, and Postdocs. If you are a highly motivated and creative student as well as interested in doing data related research/projects, please email me your resume and tell me about your specific interests. I will contact you to discuss any potential topic and funding.

Research Interests

My primary research areas are Database, Big Data Management and Analytics, and AI Interaction with DB Technology. Specifically, my current research interests are as follows:

• Data-Driven Machine Learning
• Big Graph Data Management and Mining
• Metric and Incomplete/Uncertain Data Management
• Geo-Social Data Processing
• Data Quality and Pricing
• Database Usability
• Spatial and Spatio-Temporal Databases

News

• [2018-07]  My personal homepage is released. Congratulations!
• [2018-07]  The homepage of our laboratory (i.e., Database and Big data analytics Lab (DBL)) is released. Congratulations!
• [2018-06]  Jingwen Zhao defended successfully his PhD dissertation. Congratulations!

Selected Publications

[DBLP][Full List]

[Book/Monograph & Survey]  (The author(s) marked with ‘#’ are/were my students, and the author(s) marked with ‘*’ represent the corresponding author(s))

1. Yunjun Gao* and Xiaoye Miao^#.
   

   Query Processing over Incomplete Databases. [Book]

   To appear in Synthesis Lectures on Data Management, Morgan & Claypool Publishers, 2018.

2. Gang Chen, Dawei Jiang, and Yunjun Gao.
   

   Big Data Management Systems. [Book]

   To appear in Chemical Industry Press, 2018. (in Chinese)

3. Yunjun Gao* and Lu Chen^#.
   

   Data Management in Metric Spaces. [Book]

   China Machine Press, ISBN 978-7-111-59301-0, pp. 1-224, 2018. (in Chinese, 148,000 words, Big Data Management Series, Editor: Jie She)

4. Yunjun Gao* and Qing Liu^#.
   

   Preference Query Analysis and Optimization. [Book]

   Springer Briefs in Computer Science, Springer, ISBN 978-981-10-6634-4, pp. 1-110, 2017.

5. Xiaoye Miao^#, Yunjun Gao*, Su Guo^#, and Wanqi Liu^#.
   

   Incomplete Data Management: A Survey. [Paper]

   Frontiers of Computer Science (FCS), 12(1): 4-25, 2018. (Invited Paper)

[Refereed Journals]  (The author(s) marked with ‘#’ are/were my students, and the author(s) marked with ‘*’ represent the corresponding author(s))

1. Xiaoye Miao^#, Yunjun Gao*, Linlin Zhou^#, Wei Wang, and Qing Li.
   

   Optimizing Quality for Probabilistic Skyline Computation and Probabilistic Similarity Search. [Paper]

   To appear in IEEE Transactions on Knowledge and Data Engineering (TKDE), 30(9): 1741-1755, 2018.

2. Xiaoye Miao^#, Yunjun Gao*, Su Guo^#, and Gang Chen.
   

   On Efficiently Answering Why-not Range-Based Skyline Queries in Road Networks. [Paper]

   To appear in IEEE Transactions on Knowledge and Data Engineering (TKDE), 30(9): 1697-1711, 2018.

3. Shaojie Qiao, Nan Han, Yunjun Gao*, Rong-Hua Li, Jun Guo, Louis Alberto Gutierrez, and Xingdong Wu.
   

   A Fast Parallel Community Discovery Model on Complex Networks Through Approximate Optimization. [Paper]

   To appear in IEEE Transactions on Knowledge and Data Engineering (TKDE), 30(9): 1638-1651, 2018.

4. Jingwen Zhao^#, Yunjun Gao*, Gang Chen, and Rui Chen^#.
   

   Towards Efficient Framework for Time-aware Spatial Keyword Queries on Road Networks. [Paper]

   ACM Transactions on Information Systems (TOIS), 36(3): 24:1-24:48, 2018.

5. Lu Chen^#, Yunjun Gao*, Aoxiao Zhong^#, Christian S. Jensen, Gang Chen, and Baihua Zheng.
   

   Indexing Metric Uncertain Data for Range Queries and Range Joins. [Paper]

   The VLDB Journal (VLDBJ), 26(4): 585-610, 2017. (Extended version of [C13])

6. Yunjun Gao*, Xiaoye Miao^#, Gang Chen, Baihua Zheng, Deng Cai, and Huiyong Cui^#.
   

   On Efficiently Finding Reverse k Nearest Neighbors over Uncertain Graphs. [Paper]

   The VLDB Journal (VLDBJ), 26(4): 467-492, 2017.

7. Gang Chen, Jingwen Zhao^#, Yunjun Gao*, Lei Chen, and Rui Chen^#.
   

   Time-Aware Boolean Spatial Keyword Queries. [Paper]

   IEEE Transactions on Knowledge and Data Engineering (TKDE), 29(11): 2601-2614, 2017.

8. Gang Chen, Keyu Yang^#, Lu Chen^#, Yunjun Gao*, Baihua Zheng, and Chun Chen.
   

   Metric Similarity Joins Using MapReduce. [Paper]

   IEEE Transactions on Knowledge and Data Engineering (TKDE), 29(3): 656-669, 2017.

9. Lu Chen^#, Yunjun Gao*, Xinhan Li^#, Christian S. Jensen, and Gang Chen.
   

   Efficient Metric Indexing for Similarity Search and Similarity Joins. [Paper]

   IEEE Transactions on Knowledge and Data Engineering (TKDE), 29(3): 556-571, 2017. (Extended version of [C17])

10. Qin Liu^#, Yunjun Gao*, Gang Chen, Baihua Zheng, and Linlin Zhou^#.
    

    Answering Why-not and Why Questions on Reverse Top-k Queries. [Paper]

    The VLDB Journal (VLDBJ), 25(6): 867-892, 2016. (Extended version of [C15])

11. Xiaoye Miao^#, Yunjun Gao, Gang Chen*, Baihua Zheng, and Huiyong Cui^#.
    

    Processing Incomplete k Nearest Neighbor Search. [Paper]

    IEEE Transactions on Fuzzy Systems (TFS), 24(6): 1349-1363, 2016.

12. Yunjun Gao, Qing Liu^#, Gang Chen*, Linlin Zhou^#, and Baihua Zheng.
    

    Finding Causality and Responsibility for Probabilistic Reverse Skyline Query Non-answers. [Paper]

    IEEE Transactions on Knowledge and Data Engineering (TKDE), 28(11): 2974-2987, 2016.

13. Yunjun Gao*, Jingwen Zhao^#, Baihua Zheng, and Gang Chen.
    

    Efficient Collective Spatial Keyword Query Processing on Road Networks. [Paper]

    IEEE Transactions on Intelligent Transportation Systems (TITS), 17(2): 469-480, 2016.

14. Lu Chen^#, Yunjun Gao*, Gang Chen, and Haida Zhang^#.
    

    Metric All-k-Nearest-Neighbor Search. [Paper]

    IEEE Transactions on Knowledge and Data Engineering (TKDE), 28(1): 98-112, 2016.

15. Xiaoye Miao^#, Yunjun Gao*, Baihua Zheng, Gang Chen, and Huiyong Cui^#.
    

    Top-k Dominating Queries on Incomplete Data. [Paper]

    IEEE Transactions on Knowledge and Data Engineering (TKDE), 28(1): 252-266, 2016.

16. Yunjun Gao*, Lu Chen^#, Xinhan Li, Bin Yao, and Gang Chen.
    

    Efficient k-Closest Pair Queries in General Metric Spaces. [Paper]

    The VLDB Journal (VLDBJ), 24(3): 415-439, 2015.

17. Yunjun Gao*, Xu Qin^#, Baihua Zheng, and Gang Chen.
    

    Efficient Reverse Top-k Boolean Spatial Keyword Queries on Road Networks. [Paper]

    IEEE Transactions on Knowledge and Data Engineering (TKDE), 27(5): 1205-1218, 2015.

18. Xi Guo, Baihua Zheng, Yoshiharu Ishikawa, and Yunjun Gao*.
    

    Direction-Based Surrounder Queries for Mobile Recommendations. [Paper]

    The VLDB Journal (VLDBJ), 20(5): 743-766, 2011.

19. Yunjun Gao*, Baihua Zheng, Gencai Chen, Qing Li, and Xiaofa Guo.
    

    Continuous Visible Nearest Neighbor Query Processing in Spatial Databases. [Paper]

    The VLDB Journal (VLDBJ), 20(3): 371-396, 2011. (Extended version of [C26])

20. Yunjun Gao*, Baihua Zheng, Gang Chen, Chun Chen, and Qing Li.
    

    Continuous Nearest Neighbor Search in the Presence of Obstacles. [Paper]

    ACM Transactions on Database Systems (TODS), 36(2), Article 9, 2011. (Extended version of [C24])

21. Yunjun Gao*, Baihua Zheng, Gencai Chen, Wang-Chien Lee, Ken C. K. Lee, and Qing Li.
    

    Visible Reverse k-Nearest Neighbor Query Processing in Spatial Databases. [Paper]

    IEEE Transactions on Knowledge and Data Engineering (TKDE), 21(9): 1314-1327, 2009. (Extended version of [C25])

22. Yunjun Gao*, Baihua Zheng, Gencai Chen, and Qing Li.
    

    Optimal-Location-Selection Query Processing in Spatial Databases. [Paper]

    IEEE Transactions on Knowledge and Data Engineering (TKDE), 21(8): 1162-1177, 2009.

[Refereed Conferences] (The author(s) marked with ‘#’ are/were my students, and the author(s) marked with ‘*’ represent the corresponding author(s))

1. Keyu Yang^#, Yunjun Gao*, Yifeng Shen^#, Baihua Zheng, and Lu Chen^#.
   

   DisMASTD: An Efficient Distributed Multi-Aspect Streaming Tensor Decomposition. [Paper]

   To appear in Proceedings of the 37th IEEE International Conference on Data Engineering (ICDE), 2021.

2. Lu Chen^#, Yunjun Gao*, Zixian Liu^#, Xiaokui Xiao, Christian S. Jensen, and Yifan Zhu^#.
   

   PTRider: A Price-and-Time-Aware Ridesharing System. [Paper]

   Proceedings of the 44th International Conference on Very Large Data Bases (VLDB), 11(12): 1938-1941, 2018. (Demo)

3. Xin Ding^#, Lu Chen^#, Yunjun Gao*, Christian S. Jensen, and Hujun Bao.
   

   UlTraMan: A Unified Platform for Big Trajectory Data Management and Analytics. [Paper]

   Proceedings of the 44th International Conference on Very Large Data Bases (VLDB), pp. 787-799, 2018.

4. Lu Chen^#, Yunjun Gao*, Yuanliang Zhang^#, Sibo Wang, Xiaokui Xiao, and Baihua Zheng.
   

   Scalable Hypergraph-based Image Retrieval and Tagging System. [Paper]

   Proceedings of the 34th IEEE International Conference on Data Engineering (ICDE), pp. 257-268, 2018.

5. Jingwen Zhao^#, Yunjun Gao*, Gang Chen, and Rui Chen^#.
   

   Why-not Questions on Top-k Geo-Social Keyword Queries in Road Networks. [Paper]

   Proceedings of the 34th IEEE International Conference on Data Engineering (ICDE), pp. 965-976, 2018.

6. Lu Chen^#, Qilu Zhong^#, Xiaokui Xiao, Yunjun Gao*, Pengfei Jin^#, and Christian S. Jensen.
   

   Price-and-Time-Aware Dynamic Ridesharing. [Paper]

   Proceedings of the 34th IEEE International Conference on Data Engineering (ICDE), pp. 1061-1072, 2018.

7. Lu Chen^#, Yunjun Gao*, Baihua Zheng, Christian S. Jensen, Hanyu Yang^#, and Keyu Yang^#.
   

   Pivot-based Metric Indexing. [Paper]

   Proceedings of the 43rd International Conference on Very Large Data Bases (VLDB), pp. 1058-1069, 2017.

8. Jingwen Zhao^#, Yunjun Gao*, Gang Chen, Christian S. Jensen, Rui Chen^#, and Deng Cai.
   

   Reverse Top-k Geo-Social Keyword Queries in Road Networks. [Paper]

   Proceedings of the 33rd IEEE International Conference on Data Engineering (ICDE), pp. 387-398, 2017.

9. Qing Liu^#, Yunjun Gao*, Linlin Zhou^#, and Gang Chen.
   

   IS2R: A System for Refining Reverse Top-k Queries. [Paper]

   Proceedings of the 33rd IEEE International Conference on Data Engineering (ICDE), pp. 387-398, 2017. (Demo)

10. Xiaoye Miao^#, Yunjun Gao*, Gang Chen, Huiyong Cui^#, Chong Guo^#, and Weida Pan^#.
    

    SI2P: A Restaurant Recommendation System Using Preference Queries over Incomplete Information. [Paper]

    Proceedings of the 42nd International Conference on Very Large Data Bases (VLDB), pp. 1509-1512, 2016. (Demo)

11. Lu Chen^#, Yunjun Gao*, Kai Wang^#, Christian S. Jensen, and Gang Chen.
    

    Answering Why-not Questions on Metric Probabilistic Range Queries. [Paper]

    Proceedings of the 32nd IEEE International Conference on Data Engineering (ICDE), pp. 767-778, 2016.

12. Dong Xie, Guanru Li, Bin Yao, Xiaokui Xiao, Yunjun Gao, and Minyi Guo.
    

    Practical Private Shortest Path Computation Based on Oblivious Storage. [Paper]

    Proceedings of the 32nd IEEE International Conference on Data Engineering (ICDE), pp. 361-372, 2016.

13. Lu Chen^#, Yunjun Gao*, Christian S. Jensen, Xinhan Li^#, Baihua Zheng, and Gang Chen.
    

    Indexing Metric Uncertain Data for Range Queries. [Paper]

    Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD), pp. 951-965, 2015.

14. Hui Li, Sourav S Bhowmick, Jiangtao Cui, Yunjun Gao, and Jianfeng Ma.
    

    GetReal: Towards Realistic Selection of Influence Maximization Strategies in Competitive Networks. [Paper]

    Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD), pp. 1525-1537, 2015. (Nomination for the Best Paper Award)

15. Yunjun Gao*, Qing Liu^#, Gang Chen, Baihua Zheng, and Linlin Zhou^#.
    

    Answering Why-not Questions on Reverse Top-k Queries.[Paper]

    Proceedings of the 41st International Conference on Very Large Data Bases (VLDB), pp. 738-749, 2015.

16. Lu Chen^#, Yunjun Gao*, Zhihao Xing^#, Christian S. Jensen, and Gang Chen.
    

    I2RS: A Distributed Geo-Textual Image Retrieval and Recommendation System. [Paper]

    Proceedings of the 41st International Conference on Very Large Data Bases (VLDB), pp. 1884-1895, 2015.(Demo)

17. Lu Chen^#, Yunjun Gao*, Xinhan Li^#, Christian S. Jensen, and Gang Chen.
    

    Efficient Metric Indexing for Similarity Search. [Paper]

    Proceedings of the 31st IEEE International Conference on Data Engineering (ICDE), pp. 591-602, 2015. (One of the Best Papers)

18. Hao Huang^#, Yunjun Gao, Kevin Chiew, Lei Chen, and Qinming He.
    

    Towards Effective and Efficient Mining of Arbitrary Shaped Clusters. [Paper]

    Proceedings of the 30th IEEE International Conference on Data Engineering (ICDE), pp. 28-39, 2014.

19. Hao Huang^#, Yunjun Gao*, Lu Chen^#, Rui Li, Kevin Chiew, and Qinming He.
    

    Browse with a Social Web Directory. [Paper]

    Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval (SIGIR), pp. 865-868, 2013. (Short)

20. Yunjun Gao*, Lu Chen^#, Rui Li, and Gang Chen.
    

    Mapping Queries to Questions: Towards Understanding Users' Information Needs. [Paper]

    Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval (SIGIR), pp. 977-980, 2013.(Short)

21. Hao Huang^#, Yunjun Gao*, Kevin Chiew, Qinming He, and Lu Chen^#.
    

    Commodity Query by Snapping. [Paper]

    Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval (SIGIR), pp. 985-988, 2013. (Short)

22. Yunjun Gao*, Jiacheng Yang^#, Gang Chen, Baihua Zheng, and Chun Chen.
    

    On Efficient Obstructed Reverse Nearest Neighbor Query Processing. [Paper]

    Proceedings of the 19th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems (SIGSPATIAL GIS), pp. 191-200, 2011.

23. Gang Chen, He Bai, Lidan Shou, Ke Chen, and Yunjun Gao.
    

    UPS: Efficient Privacy Protection in Personalized Web Search. [Paper]

    Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), pp. 615-624, 2011.

24. Yunjun Gao* and Baihua Zheng.
    

    Continuous Obstructed Nearest Neighbor Queries in Spatial Databases. [Paper]

    Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD), pp. 577-590, 2009.

25. Yunjun Gao*, Baihua Zheng, Gencai Chen, Wang-Chien Lee, Ken C. K. Lee, and Qing Li.
    

    Visible Reverse k-Nearest Neighbor Queries. [Paper]

    Proceedings of the 25th International Conference on Data Engineering (ICDE), pp. 1203-1206, 2009. (Short)

26. Yunjun Gao*, Baihua Zheng, Wang-Chien Lee, and Gencai Chen.
    

    Continuous Visible Nearest Neighbor Queries. [Paper]

    Proceedings of the 12th International Conference on Extending Database Technology (EDBT), pp. 144-155, 2009.

27. Yunjun Gao*, Jing Zhang, Gencai Chen, Qing Li, Shen Liu, and Chun Chen.
    

    Optimal-Nearest-Neighbor Queries. [Paper]

    Proceedings of the 24th International Conference on Data Engineering (ICDE),pp. 1454-1456, 2008. (Short)

Selected Honors and Awards

[Full List]

• The Best Paper Award, APWeb-WAIM 2018
• 2017 CCF Outstanding Doctoral Dissertation Award (Supervisor), 2017
• 2016 Zhejiang Provincial Outstanding Master’s Dissertation Award (Supervisor), 2016
• The First Prize of the Ministry of Education Science and Technology Progress Award, 2016
• The Winner of National Outstanding Young Scientist Fund Project, 2015
• The Nomination for the Best Paper Award, ACM SIGMOD 2015
• One of the Best Papers, IEEE ICDE 2015
• The First Prize of Zhejiang Province Science and Technology Award, 2011

Selected Professional Services

[Full List]

[Editorial Board Member (Associate Editor)]

• Distributed and Parallel Databases (DAPD), 2018-Present (Springer, SCI, IF: 1.179)

[Guest Editor]

• World Wide Web Journal: Internet and Web Information Systems (WWWJ), 2017-2018 (Springer, SCI, IF: 1.405)
• International Journal of Distributed Sensor Networks (IJDSN), 2014-2015 (SAGE, SCI, IF: 1.239)

[Conference Organization Committee]

• Academic Committee Co-Chairs of VLDB Summer School 2018
• Program Co-Chairs of WISE 2017
• Workshop Co-Chairs of WAIM 2013 and MDM 2019
• Publicity Co-Chairs of DASFAA 2015and NDBC 2017
• Publication Chair of WAIM 2010
• Poster Local Chair of VLDB 2014

[Journal Referee]

• ACM Transactions on Database Systems (TODS)
• The VLDB Journal (VLDBJ)
• IEEE Transactions on Knowledge and Data Engineering (TKDE)
>IEEE Transactions on Mobile Computing (TMC)
• ACM Transactions on Knowledge Discovery from Data (TKDD)
• ACM Transactions on Autonomous and Adaptive Systems (TAAS)
• Data Mining and Knowledge Discovery (DMKD)
• Information Systems (IS)
• Information Sciences (INS)
• GeoInformatica
• World Wide Web Journal: Internet and Web Information Systems (WWWJ)
• Journal of Computer Science and Technology (JCST)
• Knowledge-Based Systems (KBS)
• Expert Systems with Applications (ESWA)
• International Journal of Geographical Information Science (IJGIS)

[Conference Program Committee Member]

• SIGMOD 2018
• VLDB 2019
• ICDE 2018, 2019
• CIKM 2017, 2018
• ACM SIGSPATIAL GIS 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018
• DASFAA 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018

Selected Research Grants

[Full List]

• National Key Research and Development Plan: Cooperative Process Big Data Analytics and Optimization Decision Technology (PI of Sub-subject, No. 2018YFB1004003), 2018-2021
• Hikvision: Big Graph Data Management and Mining Algorithms (PI), 2018-2019
• NSFC-ZJNSF: Multi-source Heterogeneous Data Integration and Indexing (PI of Subject 1, No. U1609217), 2017-2020
• NSFC: Missing Data Processing Theory and Methods (PI, No. 61522208), 2016-2018
• 973 Program: Semantic Computation and Fusion for Urban Multi-modal Data (PI of Sub-subject, No. 2015CB352502), 2015-2019
• NSFC: k-Closest Pair Query and its Variant in Metric Spaces (PI, No. 61379033), 2014-2017
• NSFC: Reverse Nearest Neighbor Search in the Presence of Obstacles (PI, No. 61003049), 2011-2013

Selected Patents

[Full List]

• An Incremental Heterogeneous Graph Clustering Method Based on Game Theory (Application No: 201810271526.1, First Inventor, China), 2018
• Optimal Location Selections Using Reverse Spatial Keyword Queries in Road Networks (Patent No: ZL 201410568900.6, First Inventor, China), 2017
• Product Recommendation Based on Reverse k-Skyband Objects (Patent No: ZL201410007211.8, First Inventor, China), 2017
• Image Retrieval and Tagging Based on Hypergraph (Application No: 201710229126X, First Inventor, China), 2017
• Probabilistic Query Quality Optimization over Uncertain Data (Application No: 201710039240.6, First Inventor, China), 2017
• Personalized Recommendation Based on Nearest Neighbor Queries for Big Trajectory Data (Application No: 201710038859.5, First Inventor, China),2017

Selected Presentations/Talks

[Full List]

• Research on Graph Data Query Processing Technology (Qingdao University, Qingdao, China), 2018
• Preference Query Analysis and Optimization (Guilin University of Electronic Technology, Guilin, China), 2018
• Multi-source Heterogeneous (Big) Data Search and Mining (Jiangnan Institute of Computing Technology, Wuxi, China), 2018
• Big Data and Multi-source Heterogeneous Data Management (Wuhan University, Wuhan, China), 2017
• Unexpected Query Result Usability Analysis (NDBC 2016, Shenzhen, China), 2016
• Multi-source Heterogeneous (Big) Data Management (Xidian University, Xi’an, China), 2016
• Efficient Indexing for Querying Metric Spaces (SFU-ZJU Joint Symposium on Big Data, Hangzhou, China), 2015
• How to Do Well Research Work: A Personal Perspective (NDBC 2015, Chengdu, China), 2015
• Indexing for Querying Metric Spaces (APWeb 2015, Guangdong, China), 2015
• Spatio-Temporal (Big) Data Management (Renmin University of China, Beijing, China), 2014
• Big Data Meets Geo-spatial Data (ACM SIGSPATIAL China, Suzhou, China), 2013
• Big Data and Location-Based Services: An Introduction (Alibaba, Hangzhou, China), 2013
• Efficient Algorithms for Reverse k-Skyband Query Processing (Zhejiang-Kyoto Joint Workshop on Algorithms, Hangzhou, China), 2012

Teaching

• Computer Science and Technology Research Methodology (for graduate students), 2017-Present
• Computer Science Thinking History (for undergraduate students), 2016-Present
• Computer Science Frontier (for graduate students), 2012-Present
• Database System (for undergraduate students), 2011-Present
• Advanced Database Technology (for graduate students), 2010-Present