Jun Yang | Scholars@Duke

Jun Yang
Bishop-MacDermott Family Professor

Jun's primary research interest lies in the area of databases and data-intensive computing. One of his current passions is computational journalism, the idea of leveraging computing to help preserve and advance journalism, especially in the public interest.

For Jun's publications, please see the publications page of his website. (The "Selected Publications" section below is NOT actively curated by himself.)

Current Appointments & Affiliations

Bishop-MacDermott Family Professor, Computer Science, Trinity College of Arts & Sciences 2020 - 2025
Professor of Computer Science, Computer Science, Trinity College of Arts & Sciences 2014
Chair of Computer Science, Computer Science, Trinity College of Arts & Sciences 2020
Associate of the Duke Initiative for Science & Society, Duke Science & Society, Initiatives 2020

Contact Information

Box 90129, Durham, NC 27708-0129
D315a LSRC, Durham, NC 27708
(919) 660-6587
Personal Website

Background
Education, Training, & Certifications
- Ph.D., Stanford University 2001
- B.A., University of California - Berkeley 1995
Previous Appointments & Affiliations
- Associate Chair of Computer Science, Computer Science, Trinity College of Arts & Sciences 2017 - 2020
- Associate Professor of Computer Science, Computer Science, Trinity College of Arts & Sciences 2008 - 2014
- Director of Graduate Studies in the Department of Computer Science, Computer Science, Trinity College of Arts & Sciences 2008 - 2011
- Assistant Professor of Computer Science, Computer Science, Trinity College of Arts & Sciences 2001 - 2008
Recognition
In the News
- JAN 21, 2022 Duke Science & Technology
  
  Computational Science Is For Everyone
- APR 23, 2020
  
  Five New Bass Professors Named for Excellence in Teaching and Research
- SEP 29, 2016
  
  Fact-Checking Senate Campaign Ads Just Got Easier
- OCT 8, 2013
  
  From Spreadsheets to Stories: Data-Driven Journalism
- OCT 1, 2013
  
  Dan Blue to Speak at Duke’s 2013 Founders' Day Ceremony
- APR 24, 2013
  
  Teaching Excellence In and Outside the Classroom
Awards & Honors
Research
Selected Grants
- III: Medium: Ask the Experts: Generating Question-Answer Pairs for Addressing Information Deficits about Vaccines awarded by National Science Foundation 2022 - 2026
- IIS: Small: Helping Novices Learn and Debug Relational Queries awarded by National Science Foundation 2020 - 2023
- III: Small: Durability Queries in Databases awarded by National Science Foundation 2018 - 2022
- RAISE: C-Accel Pilot - Track A1: Credible Open Knowledge Network awarded by University of Texas at Arlington 2019 - 2022
- RAPID: Poirot: From Contact Tracing to Private Exposure Detection awarded by National Science Foundation 2020 - 2022
- III: Small: Collaborative Research: Towards End-to-End Data-Driven, Computer-Assisted Fact-Checking awarded by National Science Foundation 2017 - 2021
- New Tech & Check awarded by John S. and James L. Knight Foundation 2019 - 2021
- III: Medlium: Collaborative Research: Database Research for Computational Journalism awarded by National Science Foundation 2014 - 2019
- III: Small: DBMS+: Management System for the Next-Generation Database awarded by National Science Foundation 2014 - 2018
- III: Student Travel Fellowships for SIGMOD 2017 awarded by National Science Foundation 2017
- III: Small: Cumulon: Easy and Efficient Statistical Big-Data Analysis in the Cloud awarded by National Science Foundation 2013 - 2017
- Multiscale Systems Immunology awarded by National Institutes of Health 2010 - 2015
- Towards Computational Fact-Checking and Lead-Finding awarded by Google Inc. 2014 - 2015
- III: Small: RIOT: Statistical Computing with Efficient, Transparent I/O awarded by National Science Foundation 2009 - 2014
- Doctoral Program in Management and Analysis of Large Data Acquired from Sensors awarded by Department of Education 2007 - 2011
- Multiscale Integrative Immunology for Adjuvant Development awarded by National Institutes of Health 2005 - 2010
- III-COR: Wide-Area Publish/Subscribe: Unifying Data Processing and Dissemination awarded by National Science Foundation 2007 - 2010
- CAREER: Techniques and Applications of Derived Data Maintenance awarded by National Science Foundation 2003 - 2008
External Relationships
- Georgia Institute of Technology
- Morgan & Claypool Publishers
Publications & Artistic Works
Selected Publications
- Academic Articles
  - Agarwal, P. K., X. Hu, S. Sintos, and J. Yang. “Dynamic enumeration of similarity joins.” Leibniz International Proceedings in Informatics, Lipics 198 (July 1, 2021). https://doi.org/10.4230/LIPIcs.ICALP.2021.11.
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  - Gao, J., S. Sintos, P. K. Agarwal, and J. Yang. “Durable top-k instant-stamped temporal records with user-specified scoring functions.” Proceedings International Conference on Data Engineering 2021-April (April 1, 2021): 720–31. https://doi.org/10.1109/ICDE51399.2021.00068.
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  - Gao, J., Y. Xu, P. K. Agarwal, and J. Yang. “Efficiently Answering Durability Prediction Queries.” Proceedings of the Acm Sigmod International Conference on Management of Data, January 1, 2021, 591–604. https://doi.org/10.1145/3448016.3457305.
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  - Sintos, S., P. K. Agarwal, and J. Yang. “Selecting data to clean for fact checking: Minimizing uncertainty vs. maximizing surprise.” Proceedings of the Vldb Endowment 12, no. 13 (January 1, 2020): 2408–21. https://doi.org/10.14778/3358701.3358708.
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  - Miao, Z., T. Chen, A. Bendeck, K. Day, S. Roy, and J. Yang. “I-Rex: An Interactive Relational Query Explainer for SQL.” Proceedings of the Vldb Endowment 13, no. 12 (January 1, 2020): 2997–3000. https://doi.org/10.14778/3415478.3415528.
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  - Li, G., J. Gama, and J. Yang. “Special Issue of DASFAA 2019.” Data Science and Engineering 4, no. 3 (September 1, 2019): 177–78. https://doi.org/10.1007/s41019-019-00103-2.
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  - Miao, Zhengjie, Sudeepa Roy, and Jun Yang. “Explaining Wrong Queries Using Small Examples.” Proceedings. Acm Sigmod International Conference on Management of Data 2019 (June 2019): 503–20. https://doi.org/10.1145/3299869.3319866.
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  - Hassan, N., C. Li, J. Yang, and C. Yu. “Introduction to the special issue on combating digital misinformation and disinformation.” Journal of Data and Information Quality 11, no. 3 (January 1, 2019). https://doi.org/10.1145/3321484.
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  - Sintos, Stavros, Pankaj K. Agarwal, and Jun Yang. “Selecting Data to Clean for Fact Checking: Minimizing Uncertainty vs. Maximizing Surprise.” Corr abs/1909.05380 (2019).
  - Livshits, Ester, Benny Kimelfeld, and Sudeepa Roy. “Computing Optimal Repairs for Functional Dependencies.” Proceedings of the ... Acm Sigact Sigmod Sigart Symposium on Principles of Database Systems. Acm Sigact Sigmod Sigart Symposium on Principles of Database Systems 2018 (June 2018): 225–37. https://doi.org/10.1145/3196959.3196980.
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  - Gao, J., X. Li, Y. E. Xu, B. Sisman, X. L. Dong, and J. Yang. “Efficient knowledge graph accuracy evaluation.” Proceedings of the Vldb Endowment 12, no. 11 (January 1, 2018): 1679–91. https://doi.org/10.14778/3342263.3342642.
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  - Yang, Jun, Pankaj K. Agarwal, Sudeepa Roy, Brett Walenz, You Wu, Cong Yu, and Chengkai Li. “Query Perturbation Analysis: An Adventure of Database Researchers in Fact-Checking.” Ieee Data Eng. Bull. 41 (2018): 28–42.
  - Wu, Y., P. K. Agarwal, C. Li, J. Yang, and C. Yu. “Computational fact checking through query perturbations.” Acm Transactions on Database Systems 42, no. 1 (January 1, 2017). https://doi.org/10.1145/2996453.
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  - Yu, A., P. K. Agarwal, and J. Yang. “Top-k Preferences in High Dimensions.” Ieee Transactions on Knowledge and Data Engineering 28, no. 2 (February 1, 2016): 311–25. https://doi.org/10.1109/TKDE.2015.2451630.
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  - Hassan, N., A. Sultana, Y. Wu, G. Zhang, C. Li, J. Yang, and C. Yu. “Data in, fact out: Automated monitoring of facts by FactWatcher.” Proceedings of the Vldb Endowment 7, no. 13 (January 1, 2014): 1557–60. https://doi.org/10.14778/2733004.2733029.
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  - Sultana, A., N. Hassan, C. Li, J. Yang, and C. Yu. “Incremental discovery of prominent situational facts.” Proceedings International Conference on Data Engineering, January 1, 2014, 112–23. https://doi.org/10.1109/ICDE.2014.6816644.
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  - Wu, Y., B. Walenz, P. Li, A. Shim, E. Sonmez, P. K. Agarwal, C. Li, J. Yang, and C. Yu. “ICheck: Computationally combating "lies, D - Ned Lies, and statistics".” Proceedings of the Acm Sigmod International Conference on Management of Data, January 1, 2014, 1063–66. https://doi.org/10.1145/2588555.2594522.
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  - Wu, Y., P. K. Agarwal, C. Li, J. Yang, and C. Yu. “Toward computational fact-checking.” Proceedings of the Vldb Endowment 7, no. 7 (January 1, 2014): 589–600. https://doi.org/10.14778/2732286.2732295.
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  - Yu, A., P. K. Agarwal, and J. Yang. “Top-k preferences in high dimensions.” Proceedings International Conference on Data Engineering, January 1, 2014, 748–59. https://doi.org/10.1109/ICDE.2014.6816697.
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  - Huang, B., S. Babu, and J. Yang. “Cumulon: Optimizing statistical data analysis in the cloud.” Proceedings of the Acm Sigmod International Conference on Management of Data, July 29, 2013, 1–12. https://doi.org/10.1145/2463676.2465273.
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  - Zhang, Y., K. Lum, and J. Yang. “Failure-aware cascaded suppression in wireless sensor networks.” Ieee Transactions on Knowledge and Data Engineering 25, no. 5 (April 8, 2013): 1042–55. https://doi.org/10.1109/TKDE.2012.26.
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  - Agarwal, P. K., L. Arge, S. Govindarajan, J. Yang, and K. Yi. “Efficient external memory structures for range-aggregate queries.” Computational Geometry: Theory and Applications 46, no. 3 (April 1, 2013): 358–70. https://doi.org/10.1016/j.comgeo.2012.10.003.
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  - Chirkova, R., and J. Yang. “Big and useful: What's in the data for me? (panel description).” Proceedings of the Vldb Endowment 6, no. 12 (January 1, 2013): 1390–91. https://doi.org/10.14778/2536274.2536323.
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  - Thonangi, R., and J. Yang. “Permuting data on randomaccess block storage.” Proceedings of the Vldb Endowment 6, no. 9 (January 1, 2013): 721–32. https://doi.org/10.14778/2536360.2536371.
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  - Thonangi, R., S. Babu, and J. Yang. “A practical concurrent index for solid-state drives.” Acm International Conference Proceeding Series, December 19, 2012, 1332–41. https://doi.org/10.1145/2396761.2398437.
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  - Wu, Y., P. K. Agarwal, C. Li, J. Yang, and C. Yu. “On "one of the few" objects.” Proceedings of the Acm Sigkdd International Conference on Knowledge Discovery and Data Mining, September 14, 2012, 1487–95. https://doi.org/10.1145/2339530.2339762.
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  - Yu, A., P. K. Agarwal, and J. Yang. “Subscriber assignment for wide-area content-based publish/subscribe.” Ieee Transactions on Knowledge and Data Engineering 24, no. 10 (August 29, 2012): 1833–47. https://doi.org/10.1109/TKDE.2012.65.
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  - Yu, A., P. K. Agarwal, and J. Yang. “Processing and notifying range top-k subscriptions.” Proceedings International Conference on Data Engineering, July 30, 2012, 810–21. https://doi.org/10.1109/ICDE.2012.67.
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  - Yu, A., P. K. Agarwal, and J. Yang. “Processing a large number of continuous preference top-k queries.” Proceedings of the Acm Sigmod International Conference on Management of Data, June 28, 2012, 397–408. https://doi.org/10.1145/2213836.2213882.
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  - Zhang, Y., and J. Yang. “Optimizing I/O for big array analytics.” Proceedings of the Vldb Endowment 5, no. 8 (January 1, 2012): 764–75. https://doi.org/10.14778/2212351.2212358.
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  - Chirkova, R., and J. Yang. “Materialized views.” Foundations and Trends in Databases 4, no. 4 (December 1, 2011): 295–405. https://doi.org/10.1561/1900000020.
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  - Cohen, S., C. Li, J. Yang, and C. Yu. “Computational journalism: A call to arms to database researchers.” Cidr 2011 5th Biennial Conference on Innovative Data Systems Research, Conference Proceedings, October 11, 2011, 148–51.
  - Clark, James S., Pankaj Agarwal, David M. Bell, Paul G. Flikkema, Alan Gelfand, Xuanlong Nguyen, Eric Ward, and Jun Yang. “Inferential ecosystem models, from network data to prediction.” Ecological Applications : A Publication of the Ecological Society of America 21, no. 5 (July 2011): 1523–36. https://doi.org/10.1890/09-1212.1.
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  - Yu, A., P. K. Agarwal, and J. Yang. “Subscriber assignment for wide-area content-based publish/subscribe.” Proceedings International Conference on Data Engineering, June 6, 2011, 267–78. https://doi.org/10.1109/ICDE.2011.5767882.
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  - Chen, L., C. Tang, J. Yang, M. Kitsuregawa, and Q. Li. “Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 6184 LNCS (August 3, 2010).
  - Zhang, Y., W. Zhang, and J. Yang. “I/O-efficient statistical computing with RIOT.” Proceedings International Conference on Data Engineering, June 1, 2010, 1157–60. https://doi.org/10.1109/ICDE.2010.5447819.
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  - Chen, F., B. J. Gao, A. H. Doan, J. Yang, and R. Ramakrishnan. “Optimizing complex extraction programs over evolving text data.” Sigmod Pods’09 Proceedings of the International Conference on Management of Data and 28th Symposium on Principles of Database Systems, December 4, 2009, 321–34. https://doi.org/10.1145/1559845.1559881.
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  - Zhang, Y., H. Herodotou, and J. Yang. “RIOT: I/O efficient numerical computing without SQL.” Cidr 2009 4th Biennal Conference on Innovative Data Systems Research, December 1, 2009.
  - Agarwal, P. K., J. Xie, J. Yang, and H. Yu. “Input-sensitive scalable continuous join query processing.” Acm Transactions on Database Systems 34, no. 3 (August 1, 2009). https://doi.org/10.1145/1567274.1567275.
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  - Bosch, P., D. Gabelaia, and J. Lang. “Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 5422 (July 15, 2009).
  - Thonangi, R., H. He, A. H. Doan, H. Wang, and J. Yang. “Weighted proximity best-joins for information retrieval.” Proceedings International Conference on Data Engineering, July 8, 2009, 234–45. https://doi.org/10.1109/ICDE.2009.61.
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  - Chandramouli, B., J. Yang, P. K. Agarwal, A. Yu, and Y. Zheng. “ProSem: Scalable wide-area publish/subscribe.” Proceedings of the Acm Sigmod International Conference on Management of Data, December 10, 2008, 1315–17. https://doi.org/10.1145/1376616.1376764.
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  - Balazinska, M., J. Yang, Y. Diao, and C. S. Jensen. “Message from the DMSN'08 organizing committee.” 5th International Workshop on Data Management for Sensor Networks, Dmsn’08, in Conjunction With the 34th International Conference on Very Large Data Bases, December 1, 2008.
  - Chen, F., A. Doan, J. Yang, and R. Ramakrishnan. “Efficient information extraction over evolving text data.” Proceedings International Conference on Data Engineering, October 1, 2008, 943–52. https://doi.org/10.1109/ICDE.2008.4497503.
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  - Xie, J., J. Yang, Y. Chen, H. Wang, and P. S. Yu. “A sampling-based approach to information recovery.” Proceedings International Conference on Data Engineering, October 1, 2008, 476–85. https://doi.org/10.1109/ICDE.2008.4497456.
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  - Chandramouli, B., and J. Yang. “End-to-End support for joins in large-scale publish/subscribe systems.” Proceedings of the Vldb Endowment 1, no. 1 (January 1, 2008): 434–50. https://doi.org/10.14778/1453856.1453905.
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  - Balazinska, M., L. Qiong, A. Deshpande, S. Madden, A. Labrinidis, and Y. Jun. “Report on the fourth international workshop on Data Management for Sensor Networks (DMSN 2007).” Sigmod Record 36, no. 4 (December 1, 2007): 53–55. https://doi.org/10.1145/1361348.1361362.
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  - Chandramouli, B., C. N. Bond, S. Babu, and J. Yang. “Query suspend and resume.” Proceedings of the Acm Sigmod International Conference on Management of Data, October 30, 2007, 557–68. https://doi.org/10.1145/1247480.1247542.
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  - He, H., H. Wang, J. Yang, and P. S. Yu. “BLINKS: Ranked keyword searches on graphs.” Proceedings of the Acm Sigmod International Conference on Management of Data, October 30, 2007, 305–16. https://doi.org/10.1145/1247480.1247516.
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  - Chandramouli, B., C. N. Bond, S. Babu, and J. Yang. “On suspending and resuming dataflows.” Proceedings International Conference on Data Engineering, September 24, 2007, 1289–91. https://doi.org/10.1109/ICDE.2007.368995.
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  - Silberstein, A., and J. Yang. “Many-to-many aggregation for sensor networks.” Proceedings International Conference on Data Engineering, September 24, 2007, 986–95. https://doi.org/10.1109/ICDE.2007.368957.
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  - Chandramouli, B., J. Xie, and J. Yang. “On the database/network interface in large-scale publish/subscribe systems.” Proceedings of the Acm Sigmod International Conference on Management of Data, December 1, 2006, 587–98. https://doi.org/10.1145/1142473.1142539.
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  - Silberstein, A., K. Munagala, and J. Yang. “Energy-efficient monitoring of extreme values in sensor networks.” Proceedings of the Acm Sigmod International Conference on Management of Data, December 1, 2006, 169–80. https://doi.org/10.1145/1142473.1142493.
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  - Silberstein, A., R. Braynard, and J. Yang. “Constraint chaining: On energy-efficient continuous monitoring in sensor networks.” Proceedings of the Acm Sigmod International Conference on Management of Data, December 1, 2006, 157–68. https://doi.org/10.1145/1142473.1142492.
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  - Silberstein, A., R. Braynard, C. Ellis, K. Munagala, and J. Yang. “A sampling-based approach to optimizing top-k queries in sensor networks.” Proceedings International Conference on Data Engineering 2006 (October 17, 2006): 68. https://doi.org/10.1109/ICDE.2006.10.
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  - Silberstein, A., R. Braynard, and J. Yang. “Energy-efficient continuous isoline queries in sensor networks.” Proceedings International Conference on Data Engineering 2006 (October 17, 2006): 145. https://doi.org/10.1109/ICDE.2006.62.
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  - Wang, H., H. He, J. Yang, P. S. Yu, and J. X. Yu. “Dual labeling: Answering graph reachability queries in constant time.” Proceedings International Conference on Data Engineering 2006 (October 17, 2006): 75. https://doi.org/10.1109/ICDE.2006.53.
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  - Chandramouli, B., J. Yang, and A. Vahdat. “Distributed network querying with bounded approximate caching.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 3882 LNCS (July 7, 2006): 374–88. https://doi.org/10.1007/11733836_27.
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  - Flikkema, P. G., P. K. Agarwal, J. S. Clark, C. Ellis, A. Gelfand, K. Munagala, and J. Yang. “Model-driven dynamic control of embedded wireless sensor networks.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 3993 LNCS-III (January 1, 2006): 409–16. https://doi.org/10.1007/11758532_55.
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  - He, H., J. Xie, J. Yang, and H. Yu. “Asymmetric batch incremental view maintenance.” Proceedings International Conference on Data Engineering, December 12, 2005, 106–17. https://doi.org/10.1109/ICDE.2005.22.
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  - Silberstein, A., H. He, K. Yi, and J. Yang. “BOXes: Efficient maintenance of order-based labeling for dynamic XML data.” Proceedings International Conference on Data Engineering, December 12, 2005, 285–96. https://doi.org/10.1109/ICDE.2005.29.
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  - Agarwal, P. K., J. Xie, J. Yang, and H. Yu. “Monitoring continuous band-join queries over dynamic data.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 3827 LNCS (December 1, 2005): 349–59. https://doi.org/10.1007/11602613_36.
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  - Xie, J., J. Yang, and Y. Chen. “On joining and caching stochastic streams.” Proceedings of the Acm Sigmod International Conference on Management of Data, December 1, 2005, 359–70. https://doi.org/10.1145/1066157.1066199.
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  - He, H., H. Wang, J. Yang, and P. S. Yu. “Compact reachability labeling for graph-structured data.” International Conference on Information and Knowledge Management, Proceedings, January 1, 2005, 594–601. https://doi.org/10.1145/1099554.1099708.
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  - Munagala, K., J. Yang, and H. Yu. “Online view maintenance under a response-time constraint.” Lecture Notes in Computer Science 3669 (January 1, 2005): 677–88. https://doi.org/10.1007/11561071_60.
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  - Geng, J., and J. Yang. “AUTOBIB: Automatic extraction of bibliographic information on the Web.” Proceedings of the International Database Engineering and Applications Symposium, Ideas, October 25, 2004, 193–204. https://doi.org/10.1109/IDEAS.2004.1319792.
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  - He, H., and J. Yang. “Multiresolution indexing of XML for frequent queries.” Proceedings International Conference on Data Engineering 20 (June 1, 2004): 683–94.
  - Silberstein, A., and J. Yang. “NEXSORT: Sorting XML in external memory.” Proceedings International Conference on Data Engineering 20 (June 1, 2004): 695–706. https://doi.org/10.1109/ICDE.2004.1320038.
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  - Yi, K., H. He, I. Stanoi, and J. Yang. “Incremental maintenance of XML structural indexes.” Proceedings of the Acm Sigmod International Conference on Management of Data, January 1, 2004, 491–502. https://doi.org/10.1145/1007568.1007624.
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  - Yi, K., H. Yu, J. Yang, G. Xia, and Y. Chen. “Efficient maintenance of materialized top-k views.” Proceedings International Conference on Data Engineering, December 2, 2003, 189–200.
  - Yang, J., and J. Widom. “Incremental computation and maintenance of temporal aggregates.” Vldb Journal 12, no. 3 (October 1, 2003): 262–83. https://doi.org/10.1007/s00778-003-0107-z.
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  - Agarwal, P. K., L. Arge, J. Yang, and K. Yi. “I/O-efficient structures for orthogonal range-max and stabbing-max queries.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2832 (January 1, 2003): 7–18. https://doi.org/10.1007/978-3-540-39658-1_4.
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  - Huang, X., Q. Xue, and J. Yang. “TupleRank and implicit relationship discovery in relational databases.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2762 (January 1, 2003): 445–57. https://doi.org/10.1007/978-3-540-45160-0_44.
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  - Chen, Z., C. Li, J. Pei, Y. Tao, H. Wang, W. Wang, J. Yang, and D. Zhang. “Recent Progress on Selected Topics in Database Research - A Report by Nine Young Chinese Researchers Working in the United States.” Journal of Computer Science and Technology 18, no. 5 (January 1, 2003): 538–52. https://doi.org/10.1007/bf02947114.
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  - Yang, J., and J. Widom. “Incremental computation and maintenance of temporal aggregates.” Proceedings International Conference on Data Engineering, January 1, 2001, 51–60.
  - Yang, J., H. C. Ying, and J. Widom. “TIP: A Temporal Extension to Informix.” Sigmod Record 29, no. 2 (January 1, 2000): 596. https://doi.org/10.1145/335191.336578.
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  - Yang, J., and J. Widom. “Temporal view self-maintenance.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 1777 (January 1, 2000): 395–412. https://doi.org/10.1007/3-540-46439-5_28.
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  - Yang, J., and J. Widom. “Maintaining temporal views over non-temporal information sources for data warehousing.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 1377 LNCS (January 1, 1998): 389–403. https://doi.org/10.1007/bfb0100998.
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- Book Sections
  - Yang, Jun, Kamesh Munagala, and Adam Silberstein. “Data Aggregation in Sensor Networks.” In Encyclopedia of Database Systems, 725–30. Springer New York, 2018. https://doi.org/10.1007/978-1-4614-8265-9_93.
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  - Huang, B., N. W. D. Jarrett, S. Babu, S. Mukherjee, and J. Yang. “Cümülön: MatrixBased data analytics in the cloud with spot instances.” In Proceedings of the VLDB Endowment, 9:156–67, 2016.
  - Wu, Y., B. Harb, J. Yang, and C. Yu. “Efficient evaluation of object-centric exploration queries for visualization.” In Proceedings of the VLDB Endowment, 8:1752–63, 2015. https://doi.org/10.14778/2824032.2824072.
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  - Yang, Jun, Kamesh Munagala, and Adam Silberstein. “Data Aggregation in Sensor Networks.” In Encyclopedia of Database Systems, 552–57. Springer US, 2009. https://doi.org/10.1007/978-0-387-39940-9_93.
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- Conference Papers
  - Stureborg, R., B. Dhingra, and J. Yang. “Interface Design for Crowdsourcing Hierarchical Multi-Label Text Annotations.” In Conference on Human Factors in Computing Systems Proceedings, 2023. https://doi.org/10.1145/3544548.3581431.
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  - Gilad, A., Z. Miao, S. Roy, and J. Yang. “Understanding Queries by Conditional Instances.” In Proceedings of the Acm Sigmod International Conference on Management of Data, 355–68, 2022. https://doi.org/10.1145/3514221.3517898.
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  - Hu, X., S. Sintos, J. Gao, P. K. Agarwal, and J. Yang. “Computing Complex Temporal Join Queries Efficiently.” In Proceedings of the Acm Sigmod International Conference on Management of Data, 2076–90, 2022. https://doi.org/10.1145/3514221.3517893.
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  - Hu, X., Y. Liu, H. Xiu, P. K. Agarwal, D. Panigrahi, S. Roy, and J. Yang. “Selectivity Functions of Range Queries are Learnable.” In Proceedings of the Acm Sigmod International Conference on Management of Data, 959–72, 2022. https://doi.org/10.1145/3514221.3517896.
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  - Agarwal, Pankaj K., Xiao Hu, Stavros Sintos, and Jun Yang. “Dynamic Enumeration of Similarity Joins.” In Icalp, edited by Nikhil Bansal, Emanuela Merelli, and James Worrell, 198:11:1-11:1. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2021.
  - Gao, Junyang, Stavros Sintos, Pankaj K. Agarwal, and Jun Yang. “Durable Top-K Instant-Stamped Temporal Records with User-Specified Scoring Functions.” In Icde, 720–31. IEEE, 2021.
  - Gao, Junyang, Yifan Xu, Pankaj K. Agarwal, and Jun Yang. “Efficiently Answering Durability Prediction Queries.” In Sigmod Conference, edited by Guoliang Li, Zhanhuai Li, Stratos Idreos, and Divesh Srivastava, 591–604. ACM, 2021.
  - Zhang, Y., C. Wang, D. Pujol, J. Bater, M. Lentz, A. MacHanavajjhala, K. Nayak, L. Vasudevan, and J. Yang. “Poirot: Private contact summary aggregation: Poster abstract.” In Sensys 2020 Proceedings of the 2020 18th Acm Conference on Embedded Networked Sensor Systems, 774–75, 2020. https://doi.org/10.1145/3384419.3430603.
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  - Walenz, B., S. Sintos, S. Roy, and J. Yang. “Learning to sample: Counting with complex queries.” In Proceedings of the Vldb Endowment, 13:389–401, 2020. https://doi.org/10.14778/3368289.3368302.
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  - Miao, Zhengjie, Sudeepa Roy, and Jun Yang. “RATest: Explaining Wrong Relational Queries Using Small Examples.” In Proceedings. Acm Sigmod International Conference on Management of Data, 2019:1961–64, 2019. https://doi.org/10.1145/3299869.3320236.
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  - Wen, Yuhao, Xiaodan Zhu, Sudeepa Roy, and Jun Yang. “QAGView: Interactively Summarizing High-Valued Aggregate Query Answers.” In Proceedings. Acm Sigmod International Conference on Management of Data, 2018:1709–12, 2018. https://doi.org/10.1145/3183713.3193566.
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  - Gao, J., P. K. Agarwal, and J. Yang. “Durable top-k queries on temporal data.” In Proceedings of the Vldb Endowment, 11:2223–35, 2018. https://doi.org/10.14778/3275366.3275371.
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  - Wen, Y., X. Zhu, S. Roy, and J. Yang. “Interactive summarization and exploration of top aggregate query answers.” In Proceedings of the Vldb Endowment, 11:2196–2208, 2018. https://doi.org/10.14778/3275366.3275369.
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  - Thonangi, R., and J. Yang. “On log-structured merge for solid-state drives.” In Proceedings International Conference on Data Engineering, 683–94, 2017. https://doi.org/10.1109/ICDE.2017.121.
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  - Kumar, A., M. Boehm, and J. Yang. “Data management in machine learning: Challenges, techniques, and systems.” In Proceedings of the Acm Sigmod International Conference on Management of Data, Part F127746:1717–22, 2017. https://doi.org/10.1145/3035918.3054775.
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  - Walenz, B., S. Roy, and J. Yang. “Optimizing iceberg queries with complex joins.” In Proceedings of the Acm Sigmod International Conference on Management of Data, Part F127746:1243–44, 2017. https://doi.org/10.1145/3035918.3064053.
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  - Huang, B., and J. Yang. “Cümülön-D: Data analytics in a dynamic spot market.” In Proceedings of the Vldb Endowment, 10:865–76, 2017. https://doi.org/10.14778/3090163.3090165.
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  - Wu, Y., J. Gao, P. K. Agarwal, and J. Yang. “Finding diverse, high-value representatives on a surface of answers.” In Proceedings of the Vldb Endowment, 10:793–804, 2017. https://doi.org/10.14778/3067421.3067428.
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  - Walenz, B., and J. Yang. “Perturbation analysis of database queries.” In Proceedings of the Vldb Endowment, 9:1635–46, 2015. https://doi.org/10.14778/3007328.3007330.
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  - Chirkova, R., and J. Yang. “Message from the program co-chairs.” In Acm International Conference Proceeding Series, 2014.
  - Zhang, Y., K. Munagala, and J. Yang. “Storing matrices on disk: Theory and practice revisited.” In Proceedings of the Vldb Endowment, 4:1075–86, 2011. https://doi.org/10.14778/3402707.3402743.
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  - Silberstein, A., R. Braynard, G. Filpus, G. Puggioni, A. Gelfand, K. Munagala, and J. Yang. “Data-driven processing in sensor networks.” In Cidr 2007 3rd Biennial Conference on Innovative Data Systems Research, 10–21, 2007.
  - Chandramouli, B., J. M. Phillips, and J. Yang. “Value-based notification conditions in large-scale publish/subscribe systems.” In 33rd International Conference on Very Large Data Bases, Vldb 2007 Conference Proceedings, 878–89, 2007.
  - Chandramouli, Badrish, Christopher N. Bond, Shivnath Babu, and Jun Yang. “On suspending and resuffning dataflows.” In 2007 Ieee 23rd International Conference on Data Engineering, Vols 1 3, 1264-+. IEEE, 2007.
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  - Flikkema, P. G., P. K. Agarwal, J. S. Clark, C. Ellis, A. Gelfand, K. Munagala, and J. Yang. “From data reverence to data relevance: Model-mediated wireless sensing of the physical environment.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4487 LNCS:988–94, 2007. https://doi.org/10.1007/978-3-540-72584-8_130.
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  - Silberstein, A., G. Puggioni, A. Gelfand, K. Munagala, and J. Yang. “Suppression and failures in sensor networks: A Bayesian approach.” In 33rd International Conference on Very Large Data Bases, Vldb 2007 Conference Proceedings, 842–53, 2007.
  - Silberstein, Adam, Alan E. Gelfand, Kamesh Munagala, Gavino Puggioni, and Jun Yang. “Making Sense of Suppressions and Failures in Sensor Data: A Bayesian Approach.” In Vldb, edited by Christoph Koch, Johannes Gehrke, Minos N. Garofalakis, Divesh Srivastava, Karl Aberer, Anand Deshpande, Daniela Florescu, et al., 842–53. ACM, 2007.
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  - Agarwal, P. K., J. Xie, J. Yang, and H. Yu. “Scalable continuous query processing by tracking hotspots.” In Vldb 2006 Proceedings of the 32nd International Conference on Very Large Data Bases, 31–42, 2006.
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