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Yicheng Tu
4202 E. Fowler Ave., ENB118, Tampa, FL 33620
(813) 974-2114 (O) (765) 426-8481 (Cell)
[email protected]
EDUCATION
Ph.D., Computer Science, Purdue University, West Lafayette, IN
Emphasis: Multimedia/Streaming data management systems
Expected: August 2007
Certificate of Applied Management Principles (mini-MBA), Purdue University, West Lafayette, IN
Date: May 2004
M.S., Computer Science, Purdue University, West Lafayette, IN
Date: May 2003
GPA: 3.84/4.0
M.S., Horticulture, Purdue University, West Lafayette, IN
Date: December 2000
GPA: 3.9/4.0
B.S., Horticulture, Beijing Agricultural University, Beijing, China
Date: July 1993
GPA: 4.57/5.0
Rank: 2nd /45
RESEARCH EXPERIENCE
Assistant Professor, Department of Computer Science and Engineering, University of South Florida,
08/2007 Research Assistant, CS Department, Purdue University, 9/2001- 7/2007
 Published and presented research results in multiple top international journals and conferences
 Supervised undergraduate/Master level students for their independent research/study projects
 Projects involved:
1. Quality of Service Control in Emerging Data Management Systems.
Design, analysis, and implementation of QoS control frameworks for multimedia DBMS and
streaming data management systems.
2. Knowledge Projection - A Dynamic Maintenance System for Navy Warships.
Significantly contributed to design and development of HPKB, an interactive tool for preventative
and corrective maintenance of naval ships. Skills required: Java, J2EE, XML DB, XSL. Winner of
2005 TechPoint MIRA award – one of the most prestigious research/education awards in Indiana
3. VDBMS: A Video DBMS with Content-based Retrieval Capabilities.
Tertiary storage support of active video data and relevant pre-fetching/caching algorithms.
Research resulted in top journal (ACM Multimedia Systems) and conference (ICDE 02)
publications.
4. Cost-effective Media Streaming: A Peer-to-peer Approach.
Mathematical analysis of a peer-to-peer media streaming service; P2P streaming protocol design
and evaluation. Results published in MMCN 04.
INDUSTRIAL EXPERIENCE
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Summer Intern, R&D division, Micro Data Bases, Inc., West Lafayette, IN, 5/2001 - 8/2001
o Key member of the team for developing Fiji – a large-object supportive framework in DBMS
o Extensive core DBMS development and performance evaluation.
Co-founder and Manager, Hunan Wilson Consultants, Ltd., Changsha, China, 12/1993 – 7/1997
o Managed 1.5 million joined venture investment
o Explored new business model and successfully open branches in three cities in two years
REFEREED PUBLICATIONS
1.
Yi-Cheng Tu, Gang Ding. Control-Based Database Tuning Under Dynamic Workloads. To appear as a
chapter in the Encyclopedia of Data Warehousing and Mining, 2nd edition.
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H. Fang, Q. Wang, Y. Tu, and M. F. Horstemeyer. An efficient non-dominated sorting method for
evolutionary algorithms. Accepted to Journal of Evolutionary Computation.
Y. Tu, S. Liu, S. Prabhakar, B. Yao, and W. Schroeder. Using Control Theory for Load Shedding in Data
Stream Management. In Proceedings of International Conference on Data Engineering (ICDE), pp.14911492., Istanbul, Turkey, April 2007.
Y. Tu, J. Yan, G. Shen and S. Prabhakar. Multi-Quality Data Replication in Multimedia Databases. IEEE
Transactions on Knowledge and Data Engineering (TKDE) 19(5):679-694, May 2007.
Y. Xia, Y. Tu, M. Atallah, and S. Prabhakar. Efficient Data Compression in Location Based Services. In
Proceedings of 2nd International Conference on Geosensor Networks, Boston, MA, October 2006.
Y. Tu, S. Liu, S. Prabhakar, and B. Yao. Load Shedding in Stream Databases - A Control-Based Approach.
In Proceedings of International Conference on Very Large Databases (VLDB), pp.787-798, Seoul, Korea,
September 2006 (acceptance rate: 46/331=13.9%).
Y. Tu and S. Prabhakar. Control-Based Load Shedding in Data Stream Management Systems. PhD
Symposium/Workshop, in conjunction with ICDE 2006.
L. Qu and Y. Tu. Change Point Estimation of Bi-Level Functions. Journal of Modern Applied Statistical
Methods. 5(2):347-355, November 2006.
Y. Tu, J. Sun, M. Hefeeda, and S. Prabhakar. An Analytical Study of Peer-to-Peer Media Streaming
Systems. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP).
1(4):354-376, November 2005.
Y. Tu, J. Yan, and S. Prabhakar. Quality-Aware Replication of Multimedia Data. In Proceedings of
International Conference of Database and Expert Systems Applications (DEXA) 2005, pp.240-249
(acceptance rate: 92/390=23%).
Y. Tu, M. Hefeeda, Y. Xia, S. Prabhakar, and S. Liu. Control-based Quality Adaptation in Data Stream
Management Systems. In Proceedings of International Conference of Database and Expert Systems
Applications (DEXA) 2005, pp.746-755 (acceptance rate: 92/390=23%).
R. Cheng, B. Kao, S. Prabhakar, A. Kwan, and Y. Tu. Adaptive Stream Filters for Entity-Based Queries
with Non-Value Tolerance. Proceedings of International Conference on Very Large Databases (VLDB),
pp.37-48. (acceptance rate: 32/195=16.4%).
L. Qu and Y. Tu. Change Point Estimation of Bar Code Signals. In Proceedings of International
Conference on Scientific Computing (CSC) 2005, pp.109-114
Y. Tu, S. Prabhakar, A. Elmagarmid and R. Sion. QuaSAQ: An Approach to Enabling End-to-End QoS for
Multimedia Databases. In Proceedings of International Conference on Extending Database Technology
(EDBT) 2004, pp. 694-711 (acceptance rate: 42/294=14.2%).
Y. Tu, J. Sun and S. Prabhakar. Performance Analysis of A Hybrid Media Streaming System. In
Proceedings of ACM/SPIE Conference on Multimedia Computing and Networking (MMCN) 2004, pp. 6982 (acceptance rate: 18/74=24.3%).
W. Aref, A. Catlin, A. Elmagarmid, J. Fan, M. Hammad, I. Ilyas, M. Marzouk, S. Prabhakar, Y. Tu and X.
Zhu. VDBMS: A Testbed Facility for Research in Video Database Benchmarking. ACM/Springer
Multimedia Systems Journal. 9(6):575-585, June 2004.
W. Aref, A. Catlin, A. Elmagarmid, J. Fan, M. Hammad, I. Ilyas, M. Marzouk, S. Prabhakar, Y. Tu and X.
Zhu. VDBMS: A Testbed Facility for Research in Video Database Benchmarking. In Proceedings of
International Conference on Distributed Multimedia Systems (DMS) 2003, pp. 160-166.
W. Aref, A. Elmagarmid, J. Fan, J. Guo, M. Hammad, I. Ilyas, M. Marzouk, S. Prabhakar, A. Rezgui, A.
Teoh, E. Terzi, Y. Tu, A. Vakali, X. Zhu. A Distributed Database Server for Continuous Media. In
Proceedings of International Conference on Data Engineering (ICDE) 2002, pp. 490-491.
DRAFTS UNDER REVIEW
19. R. Cheng, B. Kao, S. Prabhakar, A. Kwan, and Y. Tu. Filtering Data Streams for Entity-based Continuous
Queries. Submitted to journal.
20. Y. Tu, S. Chen and S. Pandit. Computing Spatial Distance Histograms Efficiently in Scientific Databases.
Submitted to conference.
21. Y. Tu and S. Chen. Performance Analysis of an Algorithm to Compute Radial Distribution Functions in
Large Simulation Databases.
22. Y. Tu and S. Lei. Building applications on peer-to-peer networks: a case study of media streaming.
23. Y. Tu. Quality support in database systems.
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TECHNICAL REPORTS
1.
Y. Tu, S. Prabhakar, J. Yan, and G. Shen. Multi-Quality Data Replication in Multimedia Databases.
Technical Report CSD-TR-06-009, Department of Computer Sciences, Purdue University, 2006.
Y. Tu, S. Liu, S. Prabhakar, and B. Yao. Load Shedding in Stream Databases – A Control-Based
Approach. Technical Report CSD-TR-06-006, Department of Computer Sciences, Purdue University,
2006.
Y. Tu, J. Sun, M. Hefeeda, and S. Prabhakar. An Analytical Study of Peer-to-Peer Media Streaming
Systems. Technical Report CSD-TR-05-11, Department of Computer Sciences, Purdue University, 2005.
R. Cheng, B. Kao, S. Prabhakar, A. Kwan, and Y. Tu. Adaptive Stream Filters for Entity-Based Queries
with Non-Value Tolerance. Technical Report CSD-TR-05-03, Department of Computer Sciences, Purdue
University, 2005.
Y. Tu, S. Prabhakar and A. Elmagarmid. An Database-Centric Approach to Enabling End-to-End QoS for
Multimedia Repositories. Technical Report CSD-TR-0331, Department of Computer Sciences, Purdue
University, 2003.
Y. Tu and S. Lei. Towards Cost-Effective Media Streaming Service: A Peer-to-Peer Approach. Technical
Report CSD-TR-0323, Department of Computer Sciences, Purdue University, 2003.
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PAPER CITATIONS
1.
Ming Li and David Kotz. Group-aware Stream Filtering for Bandwidth-efficient Data Dissemination.
International Journal of Parallel, Emergent and Distributed Systems 23(5). July 2008.
2. S. Liu, Z-S. Rui, W. Jiang, J. Rexford, and M. Chiang. Performance bounds of peer-assisted streaming.
Proceedings of ACM International conference on Measurement and Modeling of Computer Systems
(SIGMETRICS), pp. 313-324, June 2008.
3. B. Liu, A. Gupta, and R. Jain. MedSMan: A Live Multimedia Stream Querying System. Multimedia Tools
and Applications 38(2): 209-232, June 2008.
4. Zhenjie Zhang, Reynold Cheng, Dimitris Papadias, and Anthony K. H. Tung. Minimizing the
Communication Cost for Continuous Skyline Maintenance. Technical Report TRB5/08, National University
of Singapore, May 2008.
5. M. K. H. Yeung and Y-K. Kwok. Game-Theoretic Scalable Peer-to-Peer Media Streaming. IEEE
International Symposium on Parallel and Distributed Processing (IPDPS), pp. 1-11, April 2008.
6. X. Liu, H. Yin, C. Lin, Y. Liu, Z. Chen, and X. Xiao. Performance Analysis and Industrial Practice of PeerAssisted Content Distribution Network for Large-Scale Live Video Streaming. Proceedings of
International Conference on Advanced Information Networking and Applications – Workshops., pp.568574, March 2008.
7. Yijian Bai and Carlo Zaniolo. Minimizing latency and memory in DSMS: a unified approach to quasioptimal scheduling. Proceedings of the 2nd international workshop on Scalable stream processing system
(SSPS), pp.58-67, March 2008.
8. Y. Liu, H. Wang, Y. Lin, and S. Cheng. Modeling and Quantifying the Impact of P2P File Sharing Traffic
on Traditional Internet Traffic. Proceedings of International Conference on Advanced Information
Networking and Applications – Workshops., pp.1428-1433, March 2008.
9. S. Shah and K. Ramamritham. Handling Non-linear Polynomial Queries over Dynamic Data. In
Proceedings of International Conference on Data Engineering (ICDE), pp. 1043-1052, Cancun, Mexico,
April 2008.
10. Y. Tian, D. Wu, K-W Ng. A Novel Caching Mechanism for Peer-to-peer Based Media-on-demand
Streaming. Journal of Systems Architecture 54(1-2): 55-69, Jan.-Feb. 2008.
11. Ming Li and David Kotz. Event dissemination via group-aware stream filtering. Proceedings of the second
international conference on Distributed event-based systems (DEBS), pp. 59-70, Rome, Italy.
12. Navendu Jain, Praveen Yalagandula, Mike Dahlin, and Yin Zhang. SMART: Scalable, BandwidthAware Monitoring of Continuous Aggregation Queries. Technical Report, University of Texas at
Austin. 2008
13. Helmut Hlavacs and helley Buchinger. Hirerarchical video patching with optimal server bandwidth. ACM
Transactions on Multimedia Computing, Communications, and Applications 4(1):1-23. Jan. 2008.
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14. H. Hlavacs and S. Buchinger. Hierarchical Video Patching with Optimal Server Bandwidth. ACM
Transactions on Multimedia Computing, Communications, and Applications 4(1):8 Jan. 2008.
15. K. M. Ho and K. T. Lo. A Simple Model for Peer-to-Peer Video-on-Demand System in Broadcast
Environment. Proceedings of Intl. Conference on Information Networking (ICOIN), pp.1-5, Jan. 2008.
16. Ming Li, David Kotz, "Group-aware Stream Filtering," icdcsw, p. 14, 27th International Conference on
Distributed Computing Systems Workshops (ICDCSW'07), 2007
17. Y. Zhang, D. Zhang, and C. Huang. A Novel Adaptive Load Shedding Scheme for Data Stream Processing.
In Proceedings of Future Generation Communication and Networking. pp. 378-384, December 2007.
18. Claudio Bettini, Dario Maggiorini, and Daniele Riboni. Distributed Context Monitoring for the Adaptation
of Continuous Services. World Wide Web 10(4):503-528. December 2007
19. Honguk Woo and A. K. Mok. Real-time Monitoring of Uncertain Data Streams Using Probabilistic
Similarity. In Proceedings of Real-Time Systems Symposium (RTSS), pp. Grid288-300. December 2007.
20. Zhijia Chen, Hao Yin, Chuang Lin, Xuening Liu, Yang Chen. Towards a trustworthy and controllable peerserver-peer media streaming: an analytical study and an industrial perspective. In Procs. of Global
Communications Conference (GLOBECOM), pp.2086- 2090, Nov. 2007
21. Hanhua Fang, Zhen Liu, Cathy H. Xia, and Li Zhang. Load Shedding and Distributed Resource Control of
Stream Processing Networks. Performance Evaluation 64(9-12):1102-1120, October 2007.
22. Jeongtae Kim and Hana Lee. Joint Nonuniform Illmination Estimation and Deblurring for Bar Code
Signals. Optics Express 15(22):14817-14837, Oct. 2007.
23. Li Binyang, Zhao Zhibin, Yu Ge, Yao Lan, Yang Xiaochun, and Liu Yang. A Filter-Based Algorithm for
Optimizing Approximate kNN Queries in Wireless Sensor Networks. Journal of Computer Research and
Development 44(z3):83-88, October 2007
24. Thomas Repantis and Vana Kalogeraki. Alleviating Hot-Spots in peer-to-peer stream processing
environments. Proceedings of the 5th International Workshop on Databases, Information Systems and Peerto-Peer Computing (DBISP2P 2007) (in conjunction with VLDB 2007), University of Vienna, Austria,
September 2007.
25. Qu Huiming. Managing query and update transactions under quality contracts in web-databases. Ph.D.
Dissertation. University of Pittsburgh. August 2007
26. Rimma V. Nehme and Elke A. Rundensteiner. ClusterSheddy: Load Shedding Using Moving Clusters over
Spatio-Temporal Data Streams. Advances in Databases: Concepts, Systems and Applications. In Lecture
Notes in Computer Science 4443: 637-651, August 2007.
27. Cheng Huang, Jin Li and Keith W. Ross. Can Internet Video-on-Demand be profitable? In Procs. of ACM
International Conference on Computer Communications (SIGCOMM). August 2007.
28. Jeong-Je Cho, Young-Woo Youn, Byoung-Sang Kim, Young-Hyuk Moon, and Chan-Hyun Youn. Optimal
Surrogate Replica Management Architecture with Quorum Based Resource Management Scheme in Mobile
Grid Network. Korean Society for internet information, pp. 53-56
29. X. Xiao , X. Sun, L. Yang, and M. Chen. Secure Data Transimission of Wireless Sensor Network Based on
Information Hiding. Fourth International Conference on Mobile and Ubiquitous Systems: Networking and
Services. pp. 1-6. August 2007
30. Dafu Lou, and Yongyi Mao, and Tet H. Yeap. The Production of Peer-to-Peer Video-Streaming Networks.
In Proceedings of ACM SIGCOMM Peer-to-Peer Streaming and IP-TV Workshop. August 2007.
31. G. Yu, X. Li, X. Yang, Z. Ou, and Q. Deng. Stream Task Scheduling Method for Deadline-Sensitive
Applications. Journal of Software 18(7):1831-1843, July 2007.
32. Nesime Tatbul. Load Shedding Techniques for Data Stream Management Systems. Ph.D. Dissertation.
Brown University. May 2007
33. Nesime Tatbul. Load Shedding Techniques for Data Stream Management Systems. Ph.D. Dissertation.
Brown University. May 2007
34. Xin Li, Li Ma, Kun Li, Kun Wang, Hong-An Wang. Adaptive Load Management over Real-Time Data
Streams. Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) Vol.2, pp.
719-725, 2007
35. Xiao-Bo Fan, Ting-Ting Xie, Cui-Ping Li, and Hong Chen. MRST-An Efficient Monitoring Technology of
Summarization on Stream Data. Journal of Computer Science and Technology 22(2):190-196. April 2007.
36. Christian Bohm, Beng-Chin Ooi, Claudia Plant, and Ying Yan. Efficiently Processing k-NN Queries on
Data Streams. In Proceedings of International Conference on Data Engineering (ICDE). April 2007.
37. Hongya Wang, Lih Chyun Shu, and Guang Rew Yeh. Load Shedding in Processing Data Streams with
Stringent Timing Constriants.
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38. Hongya Wang, Lih Chyun Shu, and Guang Rew Yeh. SOSA: A Safe Load Shedding Approach for
Monitoring Data Streams in Real-Time.
39. Hongya Wang, Lih Chyun Shu, and Guang Rew Yeh. Load Shedding in Processing Data Streams with
Stringent Timing Constriants.
40. Hongya Wang, Lih Chyun Shu, and Guang Rew Yeh. SOSA: A Safe Load Shedding Approach for
Monitoring Data Streams in Real-Time.
41. Christoph Heinz. Density Estimation over Data Streams. Doctor’s Thesis. Universitat Marburg. April 2007.
42. T Farrell, R Cheng, K Rothermel. Energy-Efficient monitoring of Mobile Objects with Uncertainty-Aware
Tolerances. In Proceedings of 11th Database Engineering and Applications Symposium (IDEAS), pp.129140, 2007
43. J.-X. Lin and Q.-X. Lin. Adaptive Load Shedding for Slide Window Joins Over Data Streams. Journal of
Fuzhou University 35(3):381-386, 2007.
44. X-B. Fan, T.-T. Xie, C.-P. Li and H. Chen. MRST- An Efficient Monitoring Technology of Summarization
on Stream Data. Journal of Computer Science and Technology 22(2):190-196, March 2007.
45. Hao-Ping Hung, Kun-Ta Chuang, and Ming-Syan Chen. Efficient Process of Top-k Range-Sum Queries
over Multiple Streams with Minimized Global Error. IEEE Transactions on Knowledge and Data
Engineering 19(10):1404-1419.
46. Ming Li, David Kotz, Group-aware Stream Filtering. In Proceedings of 27th International Conference on
Distributed Computing Systems Workshops (ICDCSW), p. 14, 2007
47. Guanling Chen, Ming Li, and David Kotz. Data-Centric Middleware for Context-Aware Pervasive
Computing. Pervasive and Mobile Computing. 2007
48. Minji Wu, Jianliang Xu, Xueyan Tang, Wang-Chien Lee. Top-K Monitoring in Wireless Sensor Networks.
IEEE Transactions on Knowledge and Data Engineering 19(7):962-976. July 2007
49. Chenqing Jin and Webin Guo. Efficiently Monitoring Nearest Neighbor to a Moving Object. Lecture Notes
of Computer Science 4632:239-251. August 2007.
50. Shan-Hung Wu, Kun-Ta Chuang, Chung-Min Chen, and MingSyan Chen. DIKNN: An Itinerary-based
KNN Query Processing Algorithm for Mobile Sensor Networks. In Proceedings of International
Conference on Data Engineering. pp.456-465. April 2007.
51. Fatih Altiparmak, David Chiu, and Hakan Ferhatosmanoglu. Incremental Quantization for Aging Data
Streams. Technical Report 07-TR20, Department of Computer Science and Engineering, Ohio State
University. [6]
52. Gang Luo, Chunqiang Tang, and Philip S. Yu. Resource-Adaptive Real-Time New Event Detection. In
Procs. of Intl. Conf. Management of Data (SIGMOD), Beijing, China., June 2007. [5]
53. Liang Dai, Yi Cui, and Yuan Xue. On Scalability of Proximity-Aware Peer-to-Peer Streaming. Proc. of
IEEE INFOCOM Mini-Symposium, Anchorage, AL, May, 2007. [7]
54. Rimma V. Nehme and Elke A. Rundensteiner. ClusterSheddy: Load Shedding Using Moving Clusters over
Spatio-Temporal Data Streams. Procs. of Database Systems for Advanced Applications (DASFAA),
Bangkok, Thailand, April 2007. [5]
55. Yijian Bai, Haixun Wang, and Carlo Zaniolo. Load shedding in classifying multi-source streaming data: A
Bayes risk approach. Proceedings of SIAM International Conference on Data Mining (SDM), April 2007.
56. Jiayue He and Augustin Chaintreau. BRADO: Scalable Streaming Through Reconfigurable Trees. In Procs.
of ACM International Conference on Measurement and Modeling of Computer (SIGMETRICS). pp.377378. New York, NY, USA.
57. Yunpeng Liu. Research on the Mobile P2P VOD System of JXME. Proceedings of Annual Conference on
International Conference on Computer Engineering and Applications, pp. 80-83, Jan. 2007.
58. Yijian Bai, Haixun Wang, and Carlo Zaniolo. Load Shedding in Classifying Multi-Source Streaming Data:
A Bayes Risk Approach. Technical Report TR060027, Computer Science Department, University of
California at Los Angeles. December 2006.
59. Yijian Bai and Haixun Wang. Load Shedding in Classifying Multi-Source Streaming Data: A Bayes Risk
Approach. IBM Technical Report. 2006.
60. Liang Chen. A Grid-Based Middleware for Processing Distributed Data Streams. Ph.D. Thesis. The Ohio
State University. 2006
61. B. J. d’Auriol and J. Pajaro. A comprehensive peer-to-peer characterization model. Concurrency and
Computation: Practice and Experience. 18:2037-2061, June 2006. [7]
62. L. Golab. Sliding Window Query Processing over Data Streams. University of Waterloo Technical Report
CS-2006-27. August 2006. [2]
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63. Hao Yin, Chuang Lin, Qian Zhang, Zhijia Chen, and Dapeng Wu. TrustStream: A Secure and Scalable
Architecture for Large-scale Internet Media Streaming. To appear in IEEE Transactions on Circuits and
Systems for Video Technology. [7]
64. B. Liu, A. Gupta, and R. Jain. MedSMan: a streaming data management system over live multimedia. In
Proceedings of ACM International Conference on Multimedia. pp.171-180. March 2005. [14]
65. B. Liu, A. Gupta, and R. Jain. A live multimedia stream querying system. Proceedings of the 2nd
International Workshop on Computer Vision Meets Databases, pp.35-42. 2005. [14]
66. X. Zhu, J. Fan, A. K. Elmagarmid and X. Wu. Hierarchical video content description and summarization
using unified semantic and visual similarity. ACM/Springer Multimedia Systems 9(1):31-53 (2003). [16]
67. M. Hammad, W. Aref, and A. Elmagarmid. Search-based Buffer Management Policies for Streaming in
Continuous Media Servers. In Proceedings of International Conference on Multimedia Expo, pp.253-256.
2002 [16]
68. A. Silberstein, K. Munagala, and J. Yang. Energy-Efficient Monitoring of Extreme Values in Sensor
Networks. In Proceedings of International Conference on Management of Data (SIGMOD), pp. 169-180.
June 2006. [10]
69. Yifeng He, Ivan Lee, and Ling Guan. Substream Allocation in Layered P2P Streaming. In Procs. of 2006
IEEE International Conference on Multimedia and Expo (ICME).
70. Brian J. d’Auriol and Jesus Pajaro. A Comprehensive Peer-to-peer Characterization Model. Concurrency
and Computation: Practice and Experience. 18(15):2037-2061
71. Rui Zhou, Guoren Wang, Donghong Han, Pizhen Gong, Chuan Xiao, and Hongru Li. Buffer-Preposed QoS
Adaptation Framework and Load Shedding Techniques over Streams. Procs. of 7th Intl. Conf. Web
Information Systems Engineering. pp. 234-246, Wuhan, China, October 2006.
72. Rui Zhou, Guoren Wang, Donghong Han, Pizhen Gong, Chuan Xiao, and Hongru Li. Buffer-Preposed QoS
Adaptation Framework and Load Shedding Techniques over Streams. Procs. of 7th Intl. Conf. Web
Information Systems Engineering. pp. 234-246, Wuhan, China, October 2006.
73. Hai Hu, Changhai Jiang, Kaiyuan Cai, and W. Eric Wong. A Control-theoretic Approach to QoS Adaptation
in Data Stream Management Systems Design. Computer Software and Application Conference
(COMPSAC) 2006.
74. C. Bettini, D. Maggiorini, and D. Riboni. Distributed Context Monitoring for Continuous Mobile Services.
In Proceedings of Working Conference on Mobile Information, 2005. [10]
75. L. Golab. Sliding Window Query Processing over Data Streams. University of Waterloo Technical Report
CS-2006-27. August 2006 [10]
76. Zijing Hu, Hongyan Li, Yu Fan, Haibin Liu, Xingbiao Zhou, and Jianlong Gao. Using Control Theory to
Guide Load Shedding in Medical Data Stream Management System. In Proceedings of 10th Asian Computer
Science Conference, pp.236-248. December 2005. [9]
77. Haigang Gong, Ming Liu, Yingchi Mao, Sanglu Lu , and Li Xie. Research Advances in Key Technology of
P2P-Based Media Streaming. Journal of Computer Research and Development 42(12):2033-2040. 2005.
78. Ming-Zhong Xiao, Xiao-Ming Li, Han-Yu Liu, Ya-Fei Dai, and Jin-Yu Zhang. Proxy Cache Replacement
Strategies Based on Bytes Benefit of Streaming Media File. Chinese Journal of Computers 27(12): 16331641, December 2004. [13]
79. Y. Liu and W. Dou. P2P Media Streaming: A New Architecture of Media Streaming Services. Computer
Science 31(4): 1-3, April 2004.
80. Y. Tu, S. Liu, S. Prabhakar, B. Yao, and W. Schroeder. Using Control Theory for Load Shedding in Data
Stream Management. In Proceedings of International Conference on Data Engineering (ICDE), pp.14911492., Istanbul, Turkey, April 2007.
PRESENTATIONS
1. Database-centric Data Analysis of Molecular Simulations. At USF Health Research Day, University of South
Florida, Feb. 22, 2008.
2. Using Control Theory for Load Shedding in Data Stream Management. At International Conference on Data
Engineering (ICDE), Istanbul, Turkey. April 18, 2007.
3. Efficient Data Compression in Location-Based Services. At 2nd International Conference on Geosensor
Networks, Boston, MA., October 3, 2006.
4. Load Shedding in Stream Databases – A Control-Based Approach. At International Conference on Very
Large Databases (VLDB), Seoul, Korea, September 12, 2006.
Page 6 of 8
5. Control-Based Load Shedding in Data Stream Management. 3rd Midwest Database Symposium, University of
Illinois, Champagne, IL, USA, April 15, 2006.
6. Load Shedding in Data Stream Management Systems: A Control-based Approach. At PhD Symposium
/Workshop, in Conjunction with International Conference on Data Engineering (ICDE), Atlanta, Georgia,
U.S.A., April 3, 2006.
7. Control-Based Load Shedding in Data Stream Management. Sigma-Xi poster session, Purdue University,
February 16, 2006.
8. Adaptive Stream Filters for Entity-Based Queries with Non-Value Tolerance. At International Conference on
Very Large Databases (VLDB), Trondheim, Norway, September 2, 2005.
9. Quality-Aware Replication of Multimedia Data. At International Conference of Database and Expert
Systems Applications (DEXA), Copenhagen, Denmark, September 5, 2005.
10. Control-based Quality Adaptation in Data Stream Management. At International Conference of Database
and Expert Systems Applications (DEXA), Copenhagen, Denmark, September 7, 2005.
11. Crane-Purdue Relationship in Knowledge Projection. ASNE Defense Transformation through Collaboration
Symposium. Bloomington , IN. September 22, 2005.
12. QuaSAQ: Enabling End-to-End QoS for Distributed Multimedia Databases. At International Conference on
Extending Database Technology (EDBT). Heraklin, Greece, March 17, 2004.
13. Hybrid Peer-to-Peer Media Distribution Systems: a Performance Study. At ACM/SPIE Conference on
Multimedia Computing and Networking. San Jose, CA, U.S.A., January 20, 2004.
14. A Distributed Database Server for Continuous Media. At International Conference on Data Engineering. San
Jose, CA, USA, February 28, 2002.
15. VDBMS: A Testbed Facility for Research in Video Database Benchmarking. At International Conference on
Distributed Multimedia Systems (DMS), Miami, Florida, USA, September 25, 2003
16. Smartship program, Program Executive Office (PEO) Ships, US Navy, Washington, DC. 6/18/2003.
Maintenance Knowledge Base and Data Mining.
17. Smartship program, PEO Ships, US Navy, Washington, DC. 3/16/2004. Interactive Diagnostics.
18. Purdue University Presentation to NSWC Crane. 4/4/2005. The Knowledge Projection Project.
19. ASNE Defense Transformation through Collaboration Symposium. Bloomington , IN. 9/17/2003. A
Knowledge-based System for Dynamic Maintenance.
20. Barnes and Thornburg New Economy-New Rules. Indiana WebCast 7/1/2005. Innovation in Shipboard
Troubleshooting.
21. Installations and demonstrations of Knowledge Projection, at Distance Support Laboratory at NSWC Crane,
03/23/05, 05/17/05, 07/28/05, 09/12/05
SELECTED IMPLEMENTATION PROJECTS
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Minibase – A Relational DBMS
Implemented components including SQL parser, buffer management, indices, relational operators, and
query optimizer using C++. Group leader.
The XINU Operating System
Implementation of core OS components in C.
An IPv4 Router
Design and coding of various network protocols ranging from the IP layer to the application layer in C.
Leader of a group of four.
A Compiler for the TIGER programming language
Implemented consecutive phases (from lexical analysis to register allocation) of a compiler using Java.
AWARDS AND HONORS
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Marquis Who’s Who in America.
Key member of the team that wins the 2004 MIRA award, a prestigious education/research award in Indiana,
for the technical contribution in the Knowledge Projection project.
Applied Management Principles, a mini MBA program for graduate students and faculty members. Attendance
is based on nomination from the 200+ graduate students in Department of Computer Sciences. Out of 12
nominations, I was one of the 3 attendees chosen by the School of Science.
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Student Travel Grant, Department of Computer Science, Purdue University. Four grants from 200+ graduate
students were awarded in 2006.
Summer research award, Graduate School, Purdue University, May 2006. Among 200+ graduate students, only
3 awards were given.
First-class scholarship, Beijing Agricultural University, 2 winners out of 45, 1990-1993.
PROFESSONAL MEMBERSHIP
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Full member of Sigma-Xi, the scientific research society
Member of Upsilon Pi Epsilon, the computer science honorary society
Member of ACM
Member of IEEE
SERVICES (Paper Reviewing)
 Member of Technical Program Committee,
 9th International Conference on Computational Science and Engineering, 2008, 2 papers reviewed
 9th International Conference on Web-Age Information Management, 2008, 7 papers reviewed
 Journal referee
 IEEE Multimedia *, 1 paper
 IEEE Transactions on Circuits and Systems for Video Technology *, 1 paper
 ACM/Springer Multimedia Systems Journal *, 1 paper
 IEEE Transactions on Systems, Man, and Cybernetics *, 1 paper
 Multimedia Tools and Applications, 6 papers
 Data and Knowledge Engineering, 1 paper
 Knowledge and Information Systems, 1 paper
 Information Sciences
 Information Systems
 Conference reviewer:
 International Conference on Management of Data (SIGMOD) 2007 *, 2 papers
 International Conference on Data Engineering (ICDE) 2004, 2005, 2007 * , 6 papers
 International Conference on Very Large DataBases (VLDB) 2005, 2007 * , 4 papers
 International Conference on Distributed Computing Systems (ICDCS) 2004 *, 1 paper
 ACM Multimedia Conference (ACM MM) 2003 *, 1 paper
 Network and Operating System Support for Digital Audio and Video (NOSSDAV) 2005, 1 paper
 ACM Symposium on Applied Computing (SAC) 2005, 2 papers
 International Conference on Database Systems for Advanced Applications (DASFAA) 2005, 2 papers
 International Symposium on Spatial and Temporal Databases (SSTD) 2005, 2 papers
 International workshop on Data Engineering for Wireless and Mobile Access (MobiDB) 2005, 2
papers
* These are the best journals/conferences in the field
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