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Yu Zheng

 

Yu Zheng (郑宇)  

Lead Researcher, Microsoft Research 

 

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[Curriculum Vitae]   [My Google Scholar Page]

Data Management, Analytics and Services (DMAS)

Ubiquitous Computing Group (Ubicomp)

  

Building 2, No. 5 Danling Street, Haidian District, Beijing, P.R. China 100080

Email: yuzheng@microsoft.com, zhyu_swjtu@hotmail.com
Tel.: +86-10-59173038; Fax: +86-10-82868529 

 

Dr. Yu Zheng is a lead researcher from Microsoft Research. He is also a Chair Professor at Shanghai Jiao Tong University and an Affiliate Professor at Southwest Jiaotong University.  His research interests include urban big data analytics, spatio-temporal data mining, and ubiquitous computing. Currently, he is leading the research on urban computing in Microsoft Research, passionate about using big and heterogeneous data generated in cities to tackle urban challenges. He has published over 50 referred papers as a leading author at prestigious conferences and journals, such as SIGMOD, VLDB, SIGKDD, UbiComp, and IEEE TKDE. He received five best paper awards from ICDE'13, ACM SIGSPATIAL’10, and Ubicomp’11, etc.  Zheng is currently a member of Editorial Advisory Board of IEEE Spectrum and an associate editor of IEEE Transaction on Big Data. He has served as chair on over 10 prestigious international conferences—most recently, as the program co-chair of ICDE 2014. He has been invited to give over 10 keynote speeches at international conferences and forums (e.g. IE 2014 and APEC 2014 smart city forum) and guest lectures in universities like MIT, CMU, and Cornell.  His book, titled “Computing with Spatial Trajectories”, has been used as a text book in USA, Canada, Australia, Korea, and China.  Zheng has received 3 technical transfer awards from Microsoft and 24 granted/filed patents.  He is an IEEE senior member, ACM senior member, and a Distinguished Speaker of China Computer Federation. Zheng has been featured multiple times by influential journals. In 2013, he was named one of the Top Innovators under 35 by MIT Technology Review (TR35) and featured by Time Magazine for his research on urban computing.  In 2014, he was named one of the top 40 Business Elites under 40 in China by Fortune Magazine, because of the business impact of urban computing he has been advocating since 2008.

We always hire top talented BS/MS/Ph.D. students who are interested in an intern or full time employee position in MSR.

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A new book "Computing with Spatial Trajectories" edited by Yu Zheng and Xiaofang Zhou has been published by Springer in November 2011. It is ready for order on Amazon and Springer.

 

"Computing with spatial trajectories is still a fairly young and dynamic research field. This book may serve researcher and application developers a comprehensive overview of the general concepts, techniques, and applications on trajectory indexing, search and data mining, and help them explore this exciting field and develop new methods and applications" - by Jiawen Han. 

 

    [Order it on Amazon]       [Buy it from Springer]        [ Preview this book (Outline and Slides) ]

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News

  • 2014.12.2: I gave a Distinguished Lecture at Hong Kong Baptist University about Urban computing. Check the video. New!
  • 2014.10.3: Special issue on Urban Computing at ACM TIST is now online for download. New!
  • 2014.9.24: I was invited to give a keynote speech at the 2nd International Conference on Sustainable Urbanization (ICSU 2015), New!
  • 2014.9.2: I was named one of the 2014 Top 40 Business Elites under 40 in China by Fortune ( see more...New!
  • 2014.8.28: United Nations featured our research published at KDD 2014 (see more... )
  • The homepage of CityNoise has been launched.
  • Two papers accepted by UbiComp 2014 and three papers accepted by KDD 2014.
  • 2014.4.18: We are organizing the 3rd International Workshop on Urban Computing (UrbComp 2014)
  • 2014.4.10: I gave a keynote speech at APEC  2014 smart city innovation & technology cooperation forum.
  • 2014.3.25: I am organizing UIC 2014 as a program chair.
  • 2014.3.24: Urban Air homepage launched.
  • 2014.2.4: I am invited to the Editorial Advisory Board of IEEE Spectrum.  

More news ......

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Focused Research Themes

1) Urban Computing

2) Location-Based Social Networks

3) Computing with Spatial Trajectories

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Honors

  1. 2014 Top 40 Business Elites under 40 in China by Fortune
  2. 2013 TR35 Award: Top Innovators Under 35 by MIT Technology Review, 2013.8
  3. ACM Senior member, since Jan. 2012
  4. IEEE Senior member, since Oct. 2011
  5. Distinguished Speaker in China Computer Federation
  6. Microsoft Golden Star, 2008
  7. Best paper runner-up award at the 29th IEEE International Conference on Data Engineering (ICDE 2013)
  8. Best paper award at the 7th International Conference on Advanced Data Mining and Applications (ADMA 2011)
  9. Best paper nominee award at the 13th International Conference on Ubiquitous Computing (UbiComp 2011)
  10. Best paper runner-up award at ACM SIGSPATIAL GIS 2010
  11. Best paper award at the 8th International conference on Ubiquitous Intelligence and Computing (UIC 2010)
  12. The most cited paper in ACM SIGSPATIAL GIS 2008 and 2010
  13. The most cited paper in UbiComp 2008
  14. The most cited paper in IEEE Data Engineering Bulletin 2010
  15. Outstanding Ph.D. thesis award from Southwest Jiaotong University 2007

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Publications (By Research Topics)(By Journals and Conferences)(Full List)

Books, Book Chapters and Proceedings

Selected Papers

(Authors associated with * are/were the interns I have supervised in MSRA)

2014

2013

2012

2011

2010

2009

2008

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Selected Professional Activities (Complete List)

Keynotes

  • Keynote Speech at the 2nd International Conference on Sustainable Urbanization (ICSU 2015), Hong Kong, 2015.1
  • Keynote speech at the 10th IEEE International conference on Intelligent Environment (IE 2014), Shanghai, China, July 2014
  • Keynote speech at the 9th International Workshop on Geographical Science (IWGS 2014), June 2014.
  • Keynote speech at the CCF forum on Urban Sensing and Computing, Hangzhou, China, 2014.6
  • Keynote speech at the World Geospatial Developers Conference (WGDC 2014), June 2014.
  • Keynote speech at the MIT Sloan Technology Innovation and Entrepreneurship Forum, 2014.5.17
  • Keynote speech at the Big Data and Internet Economy forum, 2014.4. Peking University.
  • keynote speech at APEC smart city innovation & technology cooperation forum. Changzhou, China, April 10, 2014. (Link)
  • Keynote speech at the International Symposium on Grids and Clouds (ISGC), 2014.3
  • Keynote speech at the 8th International Conference on Intelligent Systems and Knowledge Engineering (ISKE2013). Nov. 21, 2013.
  • Keynote speech at 2013 Chinese Conference of Complex Networks, China Hangzhou, Sept. 15, 2013.
  • Keynote speech at the World Geospatial Developers Conference (WGDC 2013), 2013.5.15, Beijing, China (over 2,500 audiences)
  • Keynote speech at the China Annual Conference of GIS Theory and Methodology. 2012. Sept. Chengdu China.

Chairs

  • Program chair of the 11th International Conference on Ubiquitous Intelligence and Computing (UIC 2014)
  • Program chair of International Conference on Data Engineering (Industrial Track) (ICDE 2014)
  • Industrial PC chair of Asia-Pacific Web Conference (APWeb 2014)
  • Demo chair of Spatial and Spatio-Temporal Databases (SSTD 2013)
  • Publicity Chair of PAKDD 2014
  • Program Chair of the 2nd International Workshop on Urban Computing (UrbComp 2013)
  • Chair of CCF Advanced Disciplines Lectures (ADL) on Urban Computing (Details)
  • Session Chair of ACM SIGKDD conference onKnowledge Discovery and Data Mining (KDD 2012).
  • Industrial Chair of the International Conference on Ubiquitous Computing (Ubicomp 2012)
  • Program Chair of the 4th International Workshop on Location-Based Social Networks (LBSN 2012)
  • Program Chair of the International Workshop on Urban Computing (UrbComp 2012)
  • Session Chair of the International Conference on Ubiquitous Computing (Ubicomp 2011)
  • Program Chair of the Third ACM SIGSPATIAL International Workshop on Location-Based Social Networks (LBSN 2011)
  • Local Chair of the International Conference on Ubiquitous Computing (Ubicomp 2011)
  • Session Chair of the International Conference on Ubiquitous Intelligences and Computing (UIC 2010)
  • Session Chair of the second ACM SIGSPATIAL Workshop on Location-Based Social Networks (LBSN 2010)
  • Program Chair of International Conference on Advances in Multimedia (MMEDIA 2009)

Program Committee

  • PC of ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2012) (KDD 2013)(KDD 2014)(KDD 2015)
  • PC of the International Conference on Ubiquitous Computing (Ubicomp 2011)
  • International Joint Conference on Artificial Intelligence (IJCAI 2011)
  • PC of American Association of Artificial Intelligence conference (AAAI 2014)(AAAI 2015)
  • PC of SIAM International Conference on Data Mining (SDM 2013)(SDM 2014)
  • PC of the ACM International Conference on Web Search and Data Mining (WSDM 2013) (WSDM 2014)
  • PC of the IEEE International Conference on Data Mining (ICDM 2013) (ICDM 2014)
  • Senior PC of Asia-Pacific Conference on Knowledge Discovery and Data Mining (PAKDD 2012) (PAKDD 2013)(PAKDD 2014)(PAKDD 2015)
  • ACM SIGSPATIAL International Conference on Geographic Information Systems (GIS 2014) (GIS 2013) (GIS 2011) (GIS 2010)
  • PC of the Extending Database Technology 2012 (EDBT 2013)
  • International Conference on Mobile Data Management (MDM 2010)(MDM 2012)(MDM 2013)(MDM2014)(MDM 2015) 
  • International Symposium on Spatial and Temporal Database (SSTD 2011) (SSTD 2013)(SSTD 2015)
  • IEEE international conference on Big Data (BigData 2013) (BigData 2014)
  • International Conference on Database Systems For Advanced Applications (DASFAA 2011)
  • International Conference on Database and Expert Systems Applications (DEXA 2013/2012/2011/2010/2009)
  • Australasian Database Conference (ADC 2012) (ADC 2011) (ADC 2010)
  • International Conference on Ubiquitous Intelligences and Computing (UIC 2012) (UIC 2011) (UIC 2010)
  • International Conference on Mobile and Ubiquitous Mutilmedia (MUM 2010) (MUM 2009) (MUM 2008)
  • International conference on Mobile Computing, Applications, and Services (MobiCASE 2011) (MobiCASE 2010)
  • International Conference on Web Information Systems Engineering (WISE 2009) (WISE 2008)
  • ACM Multimedia: Location-based and mobile multimedia Track (ACM MM 2011)

Panelists

  • Panel on the Technology for connected cities, at EmTech'13
  • Early Career Panel, at Spatial and Spatio-Temporal Databases (SSTD 2011).
  • Mobile applications, Wireless China Industry Summit 2010
  • Location-Based Services, Wireless China Industry Summit 2009
  • Location-Based Services, Wireless China Industry Summit 2008

Editorial Boards, Editors, and Guest Editors

[Editorial boards] [Invited talks][Panels] [Media reports]

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 Projects (Full List)

  • Urban Computing: Urban computing is emerging as a concept where every sensor, device, person, vehicle, building, and street in the urban areas can be used as a component to enable a city-wide computing for serving people and their cities. Urban computing aims to create a healthy eco-system that provides people with a better life in cities and a better city for life.
  • Urban Air: Using a diversity of big data to infer and predict fine-grained air quality throughout a city, and finally tackle air pollution.
  • CityNoise : The project aims to diagnose a city's noise pollution with crowdsensing and ubiquitous data. It reveals the fine-grained noise situation throughout a city and analyzes the composition of noises in a particular location, by using 311 complaint data together with road network data, points of interests, and social media.
  • T-Drive: Driving directions based taxi trajectories: GPS-equipped taxis can be regarded as mobile sensors probing traffic flows on road surfaces, and taxi drivers are usually experienced in finding the fastest (quickest) route to a destination based on their knowledge. In this project, we mine smart driving directions from the historical GPS trajectories of a large number of taxis, and provide a user with the practically fastest route to a given destination at a given departure time.
  • GeoLife: Building social networks using human location histories: GeoLife is a location-based social-networking service that enables users to share life experiences and build connections among each other using human location history.
  • Photo2Search: Searching maps using street-side photos

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Awards

Best Paper Awards

  • Best paper runner-up award at the 29th IEEE International Conference on Data Engineering (ICDE 2013)
  • Best paper award at the 7th International Conference on Advanced Data Mining and Applications (ADMA 2011)
  • Best paper award nominee at te 13th Inernational Conference on Ubiquitous Computing (UbiComp 2011)
  • Best paper runner-up award at ACM SIGSPATIAL GIS 2010
  • Best paper award at the 8th International confernce on Ubiquitous Intelligence and Computing (UIC 2010)
  • Outstanding Ph.D. thesis award from Southwest Jiaotong university 2007

Technical Transfer Awards

  • Merging location records. Shipped to Bing Local Search (Japan and China), Jan. 2010
  • A Chineses address breakor. Shipped to Bing Local Search (China). April, 2009.
  • Spatial outlier detection. Shipped to Bing Local Search (China). April. 2009

Patent Awards

  • MS 322848.01, "Learning Transportation Modes from Raw GPS Data", 2/26/2007. USPTO #20090216704, Class: 706 52
  • MS 322389.01, "System for logging life experiences using geographic cues", 2/26/2007. IPC8 Class: AG01C2134FI
    USPC Class: 701209
  • MS 322852.01, ASM 8110, "Indexing large-scale GPS tracks", 2/26/2007, IPC8 Class: AG06F700FI
    USPC Class: 707101
  • International Patent. MS 324938.01, "Determining User Similarities Based on Location Histories", 11/3/2008. US20100111372
  • US Patent. MS 325489.01, "Making Friend and Location Recommendations Based on Location Similarities", 12/8/2008
  • International Patent. MS 326249.01, "Detecting Spatial Outliers in a Location Entity Dataset", 1/14/2009
  • US Patent. MS 326004.01, "Identifying Interesting Locations", 2/20/2009
  • US Patent. MS 327345.01, "Search and Replay of Experiences", 5/27/2009
  • US Patent. MS 327344.01, "Location Context Based Calling", 6/3/2009
  • US Patent. MS 327346.01, "Nearby Contact Alert Based on Location and Context", 6/3/2009
  • US Patent. MS 327762.01 MS1-4846US, "Mining Life Pattern Based on Location History", 9/17/2009
  • US Patent. MS 327763.01, MS1-4847US, "Recommending Points of Interests in a Region", 9/28/2009
  • International Patent. MS 328341.01, MS1-4911US, "Route Computation Based on Route-Oriented Vehicle Trajectories", 12/28/2009
  • US Patent. MS328342.01, MS1-4909US, "Map-Matching for Low-Sampling-Rate GPS Trajectories", 12/30/2009
  • US Patent. MS328339.01, MS1-4913US, "Mining Correlation Between Locations Using Human Location History", 12/31/2009
  • US Patent. MS329247.01, MS1-4950US, "Collaborative Location and Activity Recommendations", 2010,4.15
  • US Patent. MS 329245.01, MS1-4949US, "Searching similar trajectories by locations". 4/23/2010
  • US Patent. MS 330719.01, "Prioritizing travel itineraries". 10/29/2010
  • US Patent. MS# 331672.01, "Inferring a behavior state of a vehicle", 5/19/2011
  • US/International Patent. 333873.01 / MS1-5200US, "Urban Computing of Route-Oriented Vehicles", 10/24/2011
  • US Patent. MS1-5341US. “Discover Functional Regions”. 2013.3.14
  • US Patent. PCT5402. “Air quality inference Using Multiple data sources” 2013.6

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Data Released

This is a GPS trajectory dataset collected in (Microsoft Research Asia) GeoLife project by 182 users in a period of over two years (from April 2007 to August 2012). This trajectory dataset can be used in many research fields, such as mobility pattern mining, user activity recognition, location-based social networks, location privacy, and location recommendation. The following heat maps visualize its distribution in Beijing.

please cite the following two papers when using this dataset.

[1] Yu Zheng, Quannan Li, Yukun Chen, Xing Xie. Understanding Mobility Based on GPS Data. In Proceedings of ACM conference on Ubiquitous Computing (UbiComp 2008), Seoul, Korea. ACM Press: 312-321.

[2] Yu Zheng, Lizhu Zhang, Xing Xie, Wei-Ying Ma. Mining interesting locations and travel sequences from GPS trajectories. In Proceedings of International conference on World Wild Web (WWW 2009), Madrid Spain. ACM Press: 791-800.

This is a sample of T-Drive taxi trajectory dataset which was generated by over 10,000 taxis in a period of one week in Beijing.

Please cite the following two papers when using the dataset:

[1] Jing Yuan*, Yu Zheng, Chengyang Zhang, Wenlei Xie, Xing Xie, Guangzhong Sun, Yan Huang. T-Drive: Driving Directions Based on Taxi Trajectories. In Proceedings of ACM SIGSPATIAL Conference on Advances in Geographical Information Systems (ACM SIGSPATIAL GIS 2010),

[2] Jing Yuan*, Yu Zheng, Xing Xie, Guangzhong Sun. Driving with Knowledge from the Physical World. accepted by 17th SIGKDD conference on Knowledge Discovery and Data Mining (KDD 2011).

This is a portion of GPS trajectory dataset collected in (Microsoft Research Asia) GeoLife project. Each trajectory has a set of transportation mode labels, such as by driving, taking a bus, riding a bike and walking, which can support transportation mode learning.

Please cite the following three papers when using this GPS dataset.

[1] Yu Zheng, Like Liu, Longhao Wang, Xing Xie. Learning Transportation Mode from Raw GPS Data for Geographic Application on the Web, In Proceedings of International conference on World Wild Web (WWW 2008), Beijing, China. ACM Press: 247-256

[2] Yu Zheng, Quannan Li, Yukun Chen, Xing Xie. Understanding Mobility Based on GPS Data. In Proceedings of ACM conference on Ubiquitous Computing (UbiComp 2008), Seoul, Korea. ACM Press: 312-321.

[3] Yu Zheng, Yukun Chen, Quannan Li, Xing Xie, Wei-Ying Ma. Understanding transportation modes based on GPS data for Web applications. ACM Transaction on the Web. Volume 4, Issue 1, January, 2010. pp. 1-36.

This simulator can generate people's requests for taxicabs on different road segments, using the knowledge mined from a large-scale real taxi trajectories. Each query consists of an origin, destination, and a timestamp. Please cite the following paper when using the simulator.

[1] Shuo Ma, Yu Zheng, Ouri Wolfson. T-Share: A Large-Scale Dynamic Taxi Ridesharing Service. In Proceedings of the 29th IEEE International Conference on Data Engineering (ICDE 2013).

The dataset consists of the check-in data in New York City and Los Angels as well as the social structure of the users. Each check-in includes a venue ID, the category of the venue, a timestamp, and a user ID. Please cite the following papers when using the dataset.

[1] Jie Bao, Yu Zheng, Mohamed F. Mokbel. Location-based and Preference-Aware Recommendation Using Sparse Geo-Social Networking Data. ACM SIGSPATIAL GIS 2012.

[2] Ling-Yin Wei, Yu Zheng, Wen-Chih Peng, Constructing Popular Routes from Uncertain Trajectories. 18th SIGKDD conference on Knowledge Discovery and Data Mining (KDD 2012).

This dataset includes the concentration of three air pollutants, PM2.5, PM10, and NO2, from air quality monitoring stations in Beijing and Shanghai in the time span of 2013-2-8 to 2014-2-8. Please cite the following two papers when using the dataset.

[1] Yu Zheng, Furui Liu, Hsun-Ping Hsieh. U-Air: When Urban Air Quality Inference Meets Big Data. 19th SIGKDD conference on Knowledge Discovery and Data Mining (KDD 2013).

[2] Yu Zheng, Xuxu Chen, Qiwei Jin, Yubiao Chen, Xiangyun Qu, Xin Liu, Eric Chang, Wei-Ying Ma, Yong Rui, Weiwei Sun. A Cloud-Based Knowledge Discovery System for Monitoring Fine-Grained Air Quality. MSR-TR-2014-40.

The package is comprised of six parts of data that were extracted from the GPS trajectories of taxicabs, road networks, POIs of Beijing, and video clips recording real traffic on roads. Please cite the following two papers when using the dataset.

[1] Jingbo Shang*, Yu Zheng, Wenzhu Tong, Eric Chang. Inferring Gas Consumption and Pollution Emission of Vehicles throughout a City. In the Proceeding of the 20th SIGKDD conference on Knowledge Discovery and Data Mining (KDD 2014).

[2] Yu Zheng, Licia Capra, Ouri Wolfson, Hai Yang. Urban Computing: concepts, methodologies, and applications. ACM Transaction on Intelligent Systems and Technology (ACM TIST). 5(3), 2014.

This package is comprised of three parts of data. 1) tensors representing the 311 complaints on urban noise; 2) geographical feature of each region in NYC; 3) Real noise levels of 36 locations in NYC. Please cite the following two papers when using the dataset.

[1] Yu Zheng, Tong Liu, Yilun Wang, Yanchi Liu, Yanmin Zhu, Eric Chang. Diagnosing New York City’s Noises with Ubiquitous Data. In Proc of UbiComp 2014.

[2] Wang, Y., Zheng, Y., Liu, T. A noise map of New York City. In Proc. of UbiComp 2014.

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My Friends and Research Partners

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Selected Interns I have supervised

2014

  • Yingxiang Yang. Ph.D. student @ MIT, USA.
  • Chao Zhang. Ph.D. student @ UIUC, USA.
  • Xuxu Chen. Master student @ Fudan University, China
  • Yubiao Chen. Ph.D. student @ HIT, China
  • Jingbo Shang. Undergraduate student @ SJTU, China
  • Tong Liu. Ph.D. student @ SJTU, China

2013

  • Yexiang Xue. Ph.D. student @ Cornell University, USA
  • Hsun-Ping Hsie. Ph.D. student @ National Taiwan University
  • Ka Wai Yung. Ph.D. student @ University of Pittsburgh, USA
  • Furui Liu. Ph.D. student @ The Chinese University of Hong Kong

2012

  • David Wilkie. Ph.D. student @ University of North Carolina at Chapel Hill, USA
  • Bei Pan. Ph.D. student @ University of Southern California, USA
  • Yanjie Fu. Ph.D. student @ Rutgers university, USA
  • Shuo Ma. Ph.D. candidate @ University of Illinois at Chicago, USA

2011

  • Kai Zheng. Ph.D. candidate @ The University of Queensland, Australia
  • Xin Lu. Ph.D. candidate @ MIT, USA.
  • Sakshi Babbar. Ph.D. candidate @ University of Sydney, Australia
  • Bao Jie. Ph.D. candidate @ University of Minnesota, USA
  • Lu-An Tang. Ph.D. candidate @ University of Illinois at Urbana-Champaign, USA
  • Hechen Liu. Ph.D. candidate @ University of Florida, USA
  • Ling-Ying Wei. Ph.D. candidate @ National Jiaotong university of Taiwan

2010

  • Wei Liu. Ph.D. candidate @ University of Sydney, Australia
  • Kai Zheng. Ph.D. candidate @ The University of Queensland, Australia
  • Lu-An Tang. Ph.D. candidate @ University of Illinois at Urbana-Champaign (UIUC)
  • Darshan Santani. Master candidate @ ETH, Zurich
  • Chih-Chieh Hung. Ph.D. candidate @ Taiwan National Jiaotong University, Taiwan
  • Zhengqiang Gong. Ph.D. candidate @ University of California, Berkeley, USA
  • Wenlei Xie. Ph.D. candidate @ Cornell University, USA

2009

  • Hyoseok Yoon. Ph.D. candidate @ GIST University, South Korea (Ph.D. Dissertation)
  • Vincent Wenchen Zheng. Ph.D. candidate @ Hongkong University of Science and Technology (HKUST)
  • Jing Yuan. Ph.D. candidate @ Univeristy of Science and Techology, China (Ph.D. Dissertation)
  • Zaiben Chen. Ph.D. candidate @ The University of Queensland, Australia
  • Xiangye Xiao. Ph.D. candidate @ Hongkong University of Science and Technology (HKUST)
  • Sheng Chang. Ph.D. candidate @ National University of Singapore, Singapore
  • Chengyang Zhang. Ph.D. candidate @ University of North Texas, USA
  • Yin Lou. Ph.D. candidate @ Cornell University, USA
  • Xixuan Feng. Ph.D. candidate @ University of Wisconsin-Madison, USA

2008

  • Pengfei Qiu. Master candidate @ Univeristy of Science and Techology, China
  • Ye Yang. Master candidate @ Columbia University, USA
  • Lizhu Zhang. Master candidate @ Tsinghua University, China
  • Yukun Chen. Master candiate @ Tsinghua University, China
  • Xiao Zhang. Ph.D. candidate @ Penn State University, USA
  • Quannan Li. Ph.D. candidate @ University of California Los Angeles (UCLA), USA

2007

  • Like Liu. RSDE @ Microsoft Research Asia, China
  • Longhao Wang. Master Candidate @ University of California, Berkeley, USA