Vincent W. Zheng's Homepage

Vincent W. ZhengDr. Zheng is a senior research scientist at Advanced Digital Sciences Center (ADSC), Singapore, and a research affiliate with the Coordinate Science Laboratory of University of Illinois at Urbana-Champaign, USA. He received his Ph.D. degree from the Hong Kong University of Science and Technology in 2011. His research interests are mobile computing and social computing, with particular focus on mining with heterogeneous and structured data. He has served as PCs in many leading data mining and artificial intelligence conferences such as KDD, IJCAI, AAAI, WWW, WSDM. He also co-organized the first IEEE ICDM Data Mining Contest in 2007, and the International Workshop on Localization Technology and Location-based Service at IEEE CPSCom’13. He has published 50 papers in the refereed conferences, journals and book chapters. He is a member of AAAI and ACM. 




Research Interests:

  • Graph mining, information extraction, ubiquitous computing, and general machine learning with structured outputs, probabilistic graphical models, etc.

Education:

  • Ph.D. in Computer Science from the Hong Kong University of Science and Technology, 2011.
  • B.S. in Computer Science from the University of Science and Technology of China, 2006.

Experience:

  • Intern at Microsoft Advertising (Bellevue, WA, USA), August-November 2010.
  • Intern at Microsoft Research Asia (Beijing, China), July-December 2009.

Teaching:

Publications and Patents (Full publications in Google Scholar):

Conference:

  1. Subgraph-augmented Path Embedding for Semantic User Search on Heterogeneous Social Network.
    Zemin Liu, Vincent W. Zheng, Zhou Zhao, Hongxia Yang, Kevin C.-C. Chang, Minghui Wu and Jing Ying.
    In Proc. of The Web Conference (WWW '18), Lyon, France, April 23-27, 2018.
    [Paper] [Code]
  2. Distance-aware DAG Embedding for Proximity Search on Heterogeneous Graphs.
    Zemin Liu, Vincent W. Zheng, Zhou Zhao, Fanwei Zhu, Kevin C.-C. Chang, Minghui Wu, Jing Ying.
    In Proc. of the 32nd AAAI Conference on Artificial Intelligence (AAAI '18), New Orleans, Louisiana, USA, 2018.
    [Paper] [Code]
  3. CityTransfer: Transferring Inter- and Intra-City Knowledge for Chain Store Site Recommendation based on Multi-Source Urban Data.
    Bin Guo, Jing Li, Vincent W. Zheng, Zhu Wang, Zhiwen Yu. 
    In Proc. of The 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp '18), Singapore, 2018.
    [PDF]
  4. Topological Recurrent Neural Network for Diffusion Prediction.
    Jia Wang, Vincent W. Zheng, Zemin Liu, and Kevin C.-C. Chang.
    In Proc. of The IEEE International Conference on Data Mining (ICDM '17), New Orleans, Louisiana, USA, 2017.
    [PDF] [Code]
  5. Learning Community Embedding with Community Detection and Node Embedding on Graphs. 
    Sandro Cavallari, Vincent W. Zheng, Hongyun Cai, Kevin C.-C. Chang and Erik Cambria.
    In Proc. of The 26th ACM International Conference on Information and Knowledge Management (CIKM '17), Singapore, 2017.
    [PDF] [Code]
  6. A Simple Regularization-based Algorithm for Learning Cross-Domain Word Embeddings.
    Wei Yang, Wei Lu and Vincent W. Zheng.
    In Proc. of The Conference on Empirical Methods on Natural Language Processing (EMNLP '17), Copenhagen, Denmark, 2017.
  7. Link Prediction via Ranking Metric Dual-Level Attention Network Learning.
    Zhou Zhao, Ben Gao, Vincent W. Zheng, Deng Cai, Xiaofei He and Yueting Zhuang.
    In Proc. of the International Joint Conference on Artificial Intelligence (IJCAI '17). Melbourne, Australia, 2017.
  8. Semantic Proximity Search on Heterogeneous Graph by Proximity Embedding. 
    Zemin Liu, Vincent W. Zheng, Zhou Zhao, Fanwei Zhu, Kevin Chen-Chuan Chang, Minghui Wu and Jing Ying.
    In Proc. of the 31st AAAI Conference on Artificial Intelligence (AAAI '17). San Francisco, California, USA, 2017. 
    [PDF] [Code]
  9. Community-based Question Answering via Asymmetric Multi-Faceted Ranking Network Learning.
    Zhou Zhao, Hanqing Lu, Vincent W. Zheng, Deng Cai, Xiaofei He and Yueting Zhuang.
    In Proc. of the 31st AAAI Conference on Artificial Intelligence (AAAI '17). San Francisco, California, USA, 2017.
  10. Regularizing Structured Classifier with Conditional Probabilistic Constraints for Semi-supervised Learning.
    Vincent W. Zheng and Kevin C.-C. Chang.
    In Proc. of the 25th ACM International Conference on Information and Knowledge Management (CIKM '16). Indianapolis, USA, 2016. 
    [PDF] [Data & Code]
  11. Learning to Query: Focused Web Page Harvesting for Entity Aspects.
    Yuan Fang, Vincent W. Zheng and Kevin C.-C. Chang.https://sites.google.com/site/vincentwzheng/
    In Proc. of the IEEE 32nd International Conference on Data Engineering (ICDE '16). Helsinki, Finland, 2016.
    [PDF]
  12. Semantic Proximity Search on Graphs with Metagraph-based Learning.
    Yuan Fang, Wenqing Lin, Vincent W. Zheng, Min Wu, K. C.-C. Chang and Xiao-Li Li.
    In Proc. of the IEEE 32nd International Conference on Data Engineering (ICDE '16). Helsinki, Finland, 2016.
    [PDF] [Data & Code]
  13. Cold-Start Heterogeneous-Device Wireless Localization.
    Vincent W. Zheng, Hong Cao, Shenghua Gao, Aditi Adhikari, Miao Lin, Kevin C.-C. Chang.
    In Proc. of the 30th AAAI Conference on Artificial Intelligence (AAAI '16). Phoenix, Arizona, USA, 2016.
    [PDF]
  14. An Aggressive Graph-based Selective Sampling Algorithm for Classification.https://sites.google.com/site/vincentwzheng/
    Peng Yang, Peilin Zhao, Vincent W. Zheng and Xiao-Li Li.
    In Proc. of IEEE International Conference of Data Mining (ICDM '15), 2015.
  15. Mobility Profiling for User Verification with Anonymized Location Data.
    Miao Lin, Hong Cao, Vincent W. Zheng, Kevin C.-C. Chang and Shonali Krishnaswamy.
    In Proc. of International Joint Conference on Artificial Intelligence (IJCAI '15), 2015. 
  16. Mobile User Verification/Identification using Statistical Mobility Profile.
    Miao Lin, Hong Cao, Vincent W. Zheng, Kevin C.-C. Chang and Shonali Krishnaswamy.
    In International Conference on Big Data and Smart Computing (BigComp '15), 2015. 
  17. Covariate Shift in Hilbert Space: A Solution via Surrogate Kernels.
    Kai Zhang, Vincent W. Zheng, Qiaojun Wang, James T. Kwok, Qiang Yang and Ivan Marsic.
    In Proc. of the 30th International Conference on Machine Learning (ICML '13). Atlanta, Georgia, USA, 2013. 
    [PDF] [Data1Data2Data3] [Code]
  18. User-dependent Aspect Model for Collaborative Activity Recognition.
    Vincent W. Zheng and Qiang Yang.
    In Proc. of the 22nd International Joint Conference on Artificial Intelligence (IJCAI '11). Barcelona, Catalonia, Spain, July 16-22, 2011.
    [PDF]
  19. Collaborative Filtering Meets Mobile Recommendation: A User-centered Approach.
    Vincent W. Zheng, Bin Cao, Yu Zheng, Xing Xie and Qiang Yang.
    In Proc. of the 24th AAAI Conference on Artificial Intelligence (AAAI '10). Atlanta, Georgia, USA, July 11-15, 2010.
    [PDF] [Data] [Code]
  20. Collaborative Location and Activity Recommendations with GPS History Data.
    Vincent W. Zheng, Yu Zheng, Xing Xie and Qiang Yang.
    In Proc. of the 19th International World Wide Web Conference (WWW '10). Raleigh, NC, USA, April 26-30, 2010. 
    [PDF] [Data]
  21. Indoor Localization in Multi-Floor Environments with Reduced Effort.
    Huayan Wang, Vincent W. Zheng, Junhui Zhao and Qiang Yang.
    In Proc. of the 8th Annual IEEE International Conference on Pervasive Computing and Communications (PerCom '10), Mannheim, Germany, March 30-April 2, 2010.
    [PDF]
  22. Cross-Domain Activity Recognition.
    Vincent W. Zheng, Derek H. Hu and Qiang Yang.
    In Proc. of the 11th ACM International Conference on Ubiquitous Computing (Ubicomp '09), pages 61-70. Orlando, Florida, USA, Sept. 30-Oct. 3, 2009.
    [PDF]
  23. Abnormal Activity Recognition based on HDP-HMM Models.
    Derek H. Hu, Xian-Xing Zhang, Jie Yin, Vincent W. Zheng and Qiang Yang.
    In Proc. of the 21st International Joint Conference on Artificial Intelligence (IJCAI '09), pages 1715-1720, Pasadena, CA, USA, July, 2009.
  24. Real World Activity Recognition with Multiple Goals.
    Derek H. Hu, Sinno J. Pan, Vincent W. Zheng, Nathan N. Liu and Qiang Yang.
    In Proc. of the 10th ACM International Conference on Ubiquitous Computing (Ubicomp '08), pages 30-39, Seoul, South Korea, Sept. 2008.
  25. Transferring Localization Models Over Time.
    Vincent W. Zheng, Evan W. Xiang, Qiang Yang and Dou Shen.
    In Proc. of the 23rd AAAI Conference on Artificial Intelligence (AAAI '08), pages 1421-1426, Chicago, Illinois, USA, July 2008.
    [PDF] [Data] [Code]
  26. Transferring Multi-device Localization Models using Latent Multi-task Learning.
    Vincent W. Zheng, Sinno J. Pan, Qiang Yang and Jeffrey J. Pan.
    In Proc. of the 23rd AAAI Conference on Artificial Intelligence (AAAI '08), pages 1427-1432, Chicago, Illinois, USA, July 2008.
    [PDF] [Data] [Code]
  27. Domain-Constrained Semi-Supervised Mining of Tracking Models in Sensor Networks.
    Rong Pan, Junhui Zhao, Vincent W. Zheng, Jeffrey J. Pan, Dou Shen, Sinno J. Pan and Qiang Yang.
    In Proc. of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD '07), pages 1023-1027, San Jose, CA, USA, Aug 12-15, 2007.
  28. A Joint Power Control, Link Scheduling and Rate Control Algorithm for Wireless Ad hoc Networks.
    Vincent W. Zheng, Xinming Zhang, Daoke Liu and Dan Keun Sung.
    In Proc. of IEEE Wireless Communications Networking Conference (WCNC '07), pages 3636-3640, Hong Kong, March 2007.
    [PDF]

    Preprint:

  1. Active Learning for Graph Embedding.
    Hongyun Cai, Vincent W. Zheng, Kevin C.-C. Chang.
    Technical report. In arXiv:1705.05085 [cs.LG], 2017.
    [Code]
  2. From Community Detection to Community Profiling.
    Hongyun Cai, Vincent W. Zheng, Fanwei Zhu, Kevin C.-C. Chang, Zi Huang.
    Technical report. In arXiv:1701.04528 [cs.SI], 2017.
    [Code]
  3. From Node Embedding To Community Embedding. 
    Vincent W. Zheng, Sandro Cavallari, Hongyun Cai, Kevin C.-C. Chang, Erik Cambria.
    Technical report. In arXiv:1610.09950 [cs.SI], 2016.
    [Code]

    Journal:

  1. A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications.
    Hongyun Cai, Vincent W. Zheng, Kevin C.-C. Chang.
    In IEEE Transactions on Knowledge and Data Engineering (TKDE '18), 2018.
    [PDF]
  2. From Community Detection to Community Profiling.
    Hongyun Cai, Vincent W. Zheng, Fanwei Zhu, Kevin C. Chang, Zi Huang.
    In 
    The Proceedings of the VLDB Endowment (PVLDB '17), Vol. 10, Issue 7, 2017.
    [PDF] [Technical Report] [Code]
  3. Detecting signals of detrimental prescribing cascades from social media.
    Tao Hoang, Jixue Liu, Nicole Pratt, Vincent W. Zheng, Kevin C. Chang, Elizabeth Roughead, Jiuyong Li
    .
    In Artificial Intelligence in Medicine (AIIM '16), 2016.
    [PDF]
  4. CEPR: A Collaborative Exploration and Periodically Returning Model for Location Prediction.
    Defu Lian, Xing Xie, Vincent W. Zheng, Nicholas Jing Yuan, Fuzheng Zhang and Enhong Chen.
    In ACM Transactions on Intelligent Systems and Technology (TIST '14), 2014.
    [PDF]
  5. Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs.
    Dingqi Yang, Daqing Zhang, Vincent W. Zheng and Zhiyong Yu.
    In IEEE Transactions on Systems, Man, and Cybernetics: Systems (TSMC-S '14), 2014.
    [PDF]
  6. Towards mobile intelligence: Learning from GPS history data for collabortive recommendation.
    Vincent W. Zheng, Yu Zheng, Xing Xie and Qiang Yang.
    In Artificial Intelligence Journal (AIJ '12), 184-185 (2012), Pages 17-37, 2012.
    [PDF]
  7. Cross-Domain Activity Recognition via Transfer Learning.
    Derek H. Hu, Vincent W. Zheng and Qiang Yang.
    In Pervasive and Mobile Computing Journal (PMC '11), vol. 7, no. 3, pages 344-358, June 2011.
    [PDF]
  8. Transfer Learning by Reusing Structured Knowledge. 
    Qiang Yang, Vincent W. Zheng, Bin Li and Hankz H. Zhuo.
    In AI Magazine, vol. 32, no. 2, pages 95-106, 2011.
    [PDF]

    System Paper:

  1. SocialLens: Searching and Browsing Communities by Content and Interaction. 
    Hongyun Cai, Vincent W. Zheng, Penghe Chen, Fanwei Zhu, Kevin Chen-Chuan Chang, Zi Huang.
    In ICDE '17 Demo Track, San 
    Diego, CA, USA, April 2017.
    [PDF] [SocialLens System] [Demo]
  2. ARISE-PIE: A People Information Integration Engine over the Web.
    Vincent W. Zheng, Tao Hoang, Penghe Chen, Yuan Fang, Xiaoyan Yang, Kevin Chen-Chuan Chang.
    In CIKM '16 Workshop on Data-Driven Talent Acquisition, Indianapolis, USA, Oct 2016.
    [PDF] [ARISE System] [Demo]
  3. IntelligShop: Enabling Intelligent Shopping in Malls through Location-based Augmented Reality.
    Aditi Adhikari, Vincent W. Zheng, Hong Cao, Miao Lin, Yuan Fang and Kevin C. Chang.
    In ICDM '15 Demo Track, Atlantic City, NJ, USA, Nov 2015. 
    [PDF] [Demo]

    Others:

  1. Adaptive Attention Network for Review Sentiment Classification.
    Chuantao Zong, Wenfeng Feng, Vincent W. Zheng, and Hankz Hankui Zhuo.
    In Proc. of the 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD '18), Melbourne, Australia, June, 2018.
  2. Sequential Context Modelling for Smart Devices by Collaborative Hidden Markov Model. 
    Miao Lin, Vincent W. Zheng, and Shili Xiang. 
    In Proc. of the IEEE 4th World Forum on Internet of Things, Singapore, February 2018.
  3. Enhancing Anomaly Diagnosis of Automatic Train Supervision System Based onOperation Log.
    Yan Li, Binbin Chen, Vincent W. Zheng, William Temple, ZbigniewKalbarczyk and Yue Wu.
    In Proc. of The Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN ’17), Industry Track, 2017.
  4. Learning Word Vectors in Deep Walk using Convolution.
    Iti Chaturvedi, Sandro Cavallari, Erik Cambria, Vincent W. Zheng.
    In Proc. of the 30th International FLAIRS Conference (FLAIRS '17), Marco Island, May 2017.
  5. Collaborative Filtering Meets Next Check-in Location Prediction. 
    Defu Lian, Vincent W. Zheng and Xing Xie.
    In WWW '13 Poster Track. Rio de Janeiro, Brazil, May 2013.
    [
    PDF]
  6. Next Place Prediction by Learning with Multiple Models.
    Zhongqi Lu, Yin Zhu, Vincent W. Zheng, and Qiang Yang.
    In Pervasive '12 Workshop on Nokia Mobile Data Challenge, Newcastle, June 2012. Fourth Place in Next Place Prediction Task.
  7. Joint Learning User's Activities and Profiles from GPS Data.
    Vincent W. Zheng, Yu Zheng and Qiang Yang.
    In ACM GIS '09 Workshop on Location-based Social Networking Services, pages 17-20, Seattle, USA, Nov. 2009.
  8. HIPS: A Calibration-less Hybrid Indoor Positioning System Using Heterogeneous Sensors.
    Vincent W. Zheng, Junhui Zhao, Yongcai Wang and Qiang Yang.
    In PerCom '09 Workshop on Intelligent Pervasive Devices, pages 1-6, Galveston, Texas, USA, March 2009.
  9. Transfer Learning for WiFi-based Indoor Localization.
    Sinno J. Pan, Vincent W. Zheng, Qiang Yang and Derek H. Hu.
    In AAAI '08 Workshop on Transfer Learning for Complex Task. Chicago, Illinois, USA, July 2008.
    [PDF]

    Book Chapters:

  1. Mobile Augmented Reality to Enable Intelligent Mall Shopping by Network Data.
    Vincent W. Zheng and Hong Cao.
    In Big Data and Computational Intelligence in Networking, Taylor & Francis LLC, CRC Press, 2017.
    [PDF]
  2. Activity Recognition from Trajectory Data.
    Yin Zhu, Vincent W. Zheng and Qiang Yang.
    In Computing with Spatial Trajectories. Yu Zheng and Xiaofang Zhou (eds.), Chapter 6, Springer Press, Nov. 2011.
    [PDF]
  3. Transfer Learning and Its Application for WiFi Localization Problems.
    Sinno J. Pan, Vincent W. Zheng and Qiang Yang.
    In Machine Learning and Applications. Zhi-Hua Zhou and Jue Wang (eds.), Chapter 3, Tsinghua University Press, 2009.

    Thesis:

  1. Learning with Limited Data in Sensor-based Human Behavior Recognition.
    Vincent W. Zheng, Hong Kong University of Science and Technology, Aug. 2011.

    Patents and Technical Disclosures :

  1. Context-Aware Diagnosis Tool for Automatic Train Supervision in Metro System.
    Technical disclosure filed by A*STAR Singapore 2017.
  2. ADSC ARISE Entity Integration Engine.
    Technical disclosure filed by A*STAR Singapore 2015. Licensed to Singapore companies.
  3. ADSC ARISE Review Crawler Software.
    Technical disclosure filed by A*STAR Singapore 2014. Licensed to Singapore companies.
  4. Collaborative Location and Activity Recommendations
    US Patent. MS329247.01, MS1-4950US, 2010.

Media Coverage:

  • http://www.illinoishomepage.net/news/local-news/professor-developing-smart-shopping-app
  • https://cs.illinois.edu/news/augmented-reality-app-enables-intelligent-shopping-experience
  • www.csl.illinois.edu/news/augmented-reality-app-enables-intelligent-shopping-experience

Miscellaneous:

Professional Activities:

  • Program Committee, The Annual Meeting of the Association for Computational Linguistics (ACL), 2018.
  • Program Committee, International Conference on Information and Knowledge Management (CIKM), 2017.
  • Program Committee, International Conference on Data Engineering (ICDE), 2017.
  • Program Committee, International World Wide Web Conference (WWW), 2014, 2017, 2018.
  • Program Committee, The IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2015, 2016, 2017, 2018.
  • Program Committee, International Joint Conference on Artificial Intelligence (IJCAI), 2016, 2018.
  • Program Committee, AAAI Conference on Artificial Intelligence (AAAI), 2010, 2017, 2018.
  • Program Committee, ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2015, 2016, 2017, 2018.
  • Co-chair, Special Session of Mining Heterogeneous Mobile Data in IEEE International Conference on Information, Communications and Signal Processing (ICICS), 2015.
  • Program Committee, ACM International Conference on Web Search and Data Mining (WSDM), 2014, 2015, 2016.
  • Program Committee, The Asia-Pacific Web Conference (APWeb), 2015, 2016.
  • Program Committee, CCF Conference on Natural Language Processing and Chinese Computing (NLPCC), 2017.
  • Program Committee, International Workshop on Context Discovery and Data Mining (ContextDD), 2014.
  • Program Committee, International AAAI Conference on Weblogs and Social Media (ICWSM), 2014, 2017.
  • Program Committee, IEEE International Conference on Big Data (IEEE BigData), 2013, 2014, 2015, 2016.
  • Program Committee, International Workshop on Big Data Mining and Understanding (BigMUD 2013), co-located with IEEE ICDM 2013.
  • Co-chair, International Workshop on Localization Technology and Location-based Services (LTLS), co-located with IEEE iThings/CPSCom/GreenCom 2013 conference.
  • Program Committee, International Symposium on Social and Community Intelligence (SCI), co-located with ACM Ubicomp 2011. 
  • Co-organizer, the 1st IEEE ICDM Data Mining (ICDM) Contest, 2007.
  • Reviewer for journals: TKDE, TIST, etc.

Demos:

Contact:

  • Email: vincent (dot) zheng [at] adsc-create (dot) edu (dot) sg / vincent (dot) zheng [at] adsc (dot) com (dot) sg
  • Address: 1 Create Way, #14-02, Create Tower, Singapore 138602
  • Office phone: (+65) 6591-9095
  • Fax: (+65) 6591-9091