Publications

Book

• Florin Rusu. "Multidimensional Array Data Management", Foundations and Trends® in Databases, Vol. 12, No. 2--3, pp. 69-220, February 2023. [nowpublishers, ISBN: 978-1-63828-148-1]

Journal

• Tao Ren, Michael F. Modest, Alexander Fateev, Gavin Sutton, Weijie Zhao, and Florin Rusu. "Machine Learning Applied to Retrieval of Temperature and Concentration Distributions from Infrared Emission Measurements", Applied Energy, Vol. 252, Article 113448, October 2019.
• Kesheng Wu and Florin Rusu. "Special Issue on Scientific and Statistical Data Management", Distributed and Parallel Databases, March 2019. [Introduction to the special issue on scientific and statistical data management]
• Weijie Zhao, Florin Rusu, Kesheng Wu, and Peter Nugent. "Automatic Identification and Classification of Palomar Transient Factory Astrophysical Objects in GLADE", International Journal of Computational Science and Engineering, Vol. 16, No. 4, pp. 337-349, July 2018.
• Anna Y. Q. Ho, S. R. Kulkarni, Peter E. Nugent, Weijie Zhao, Florin Rusu, S. Bradley Cenko, Vikram Ravi, Mansi M. Kasliwal, Daniel A. Perley, Scott M. Adams, Eric C. Bellm, Patrick Brady, Christoffer Fremling, Avishay Gal-Yam, David Alexander Kann, David Kaplan, Russ R. Laher, Frank Masci, Eran O. Ofek, Jesper Sollerman, and Alex Urban. "iPTF Archival Search for Fast Optical Transients", The Astrophysical Journal Letters, Vol. 854, No. 1, February 2018.
• Anna Y. Q. Ho, Peter E. Nugent, Weijie Zhao, Florin Rusu et al. "Multi-messenger Observations of a Binary Neutron Star Merger", The Astrophysical Journal Letters, Vol. 848, No. L12, October 2017.
• M. M. Kasliwal, E. Nakar, L. P. Singer, D. L. Kaplan, D. O. Cook, A. Van Sistine, R. M. Lau, C. Fremling, O. Gottlieb, J. E. Jencson, S. M. Adams, U. Feindt, K. Hotokezaka, S. Ghosh, D. A. Perley, P.-C. Yu, T. Piran, J. R. Allison, G. C. Anupama, A. Balasubramanian, K. W Bannister, J. Bally, J. Barnes, S. Barway, E. Bellm, V. Bhalerao, D. Bhattacharya, N. Blagorodnova, J. S. Bloom, P. R. Brady, C. Cannella, D. Chatterjee, S. B. Cenko, B. E. Cobb, C. Copperwheat, A. Corsi, K. De, D. Dobie, S. W. K. Emery, P. A. Evans, O. D. Fox, D. A. Frail, C. Frohmaier, A. Goobar, G. Hallinan, F. Harrison, G. Helou, T. Hinderer, A. Y. Q. Ho, A. Horesh, W.-H. Ip, R. Itoh, D. Kasen, H. Kim, N. P. M. Kuin, T. Kupfer, C. Lynch, K. Madsen, P. A. Mazzali, A. A. Miller, K. Mooley, T. Murphy, C.-C. Ngeow, D. Nichols, S. Nissanke, P. Nugent, E. O. Ofek, H. Qi, R. M. Quimby, S. Rosswog, F. Rusu, E. M. Sadler, P. Schmidt, J. Sollerman, I. Steele, A. R. Williamson, Y. Xu, L. Yan, Y. Yatsu, C. Zhang, and W. Zhao. "Illuminating Gravitational Waves: A Concordant Picture of Photons from a Neutron Star Merger", Science, October 2017. [Application of array database technology to astronomy resulting in the first-ever observation of a neutron star merger which produces gravitational waves and turns out to be the origin of heavy elements, including gold]
• Dan Olteanu and Florin Rusu. "Special Issue on In-Database Analytics", Distributed and Parallel Databases, September 2017. [Introduction to the special issue on in-database analytics]
• Chengjie Qin, Martin Torres, and Florin Rusu. "Scalable Asynchronous Gradient Descent Optimization for Out-of-Core Models", Proceedings of the VLDB Endowment (PVLDB), Vol. 10, No. 10, pp. 986-997, June 2017. [Oral presentation (pdf) at VLDB 2017, Munich, Germany]
• Florin Rusu, Zixuan Zhuang, Mingxi Wu, and Chris Jermaine. "Workload-Driven Antijoin Cardinality Estimation", ACM Transactions on Database Systems, Vol. 40, No. 3, October 2015. [Poster at ACM SIGMOD 2016, San Francisco, California]
• Yu Cheng and Florin Rusu. "SCANRAW: A Database Meta-Operator for Parallel In-Situ Processing and Loading", ACM Transactions on Database Systems, Vol. 40, No. 3, October 2015.
• Florin Rusu, Chengjie Qin, and Martin Torres. "Scalable Analytics Model Calibration with Online Aggregation", IEEE Data Engineering Bulletin, Vol. 38, No. 3, pp. 30-44, September 2015.
• Yu Cheng and Florin Rusu. "Formal Representation of the SS-DB Benchmark and Experimental Evaluation in EXTASCID", Distributed and Parallel Databases, May 2014.
• Chengjie Qin and Florin Rusu. "PF-OLA: A High-Performance Framework for Parallel Online Aggregation", Distributed and Parallel Databases, August 2013. [Special issue on scalable data summarization on Big Data]
• Florin Rusu and Alin Dobra. "GLADE: A Scalable Framework for Efficient Analytics", SIGOPS Operating Systems Review, Vol. 46, No. 1, pp. 12-18, January 2012. [Selected as one of the best papers presented at LADIS 2011]
• Alin Dobra, Chris Jermaine, Florin Rusu, and Fei Xu. "Turbo-Charging Estimate Convergence in DBO", Proceedings of the VLDB Endowment (PVLDB), Vol. 2, No. 1, pp. 419-430, August 2009. [Oral presentation at VLDB 2009, Lyon, France]
• Florin Rusu and Alin Dobra. "Sketches for Size of Join Estimation", ACM Transactions on Database Systems, Vol. 33, No. 3, September 2008.
• Florin Rusu and Alin Dobra. "Pseudo-Random Number Generation for Sketch-Based Estimations", ACM Transactions on Database Systems, Vol. 32, No. 2, June 2007.

Conference, Workshop, Demo

• Yujing Ma, Florin Rusu, Kesheng Wu, and Alexander Sim. "Adaptive Optimization for Sparse Data on Heterogeneous GPUs", Proceedings of IPDPSW (ScaDL) 2022, June 2022.
• Rafael Pereira, Yania Souto, Anderson Chaves, Rocio Zorilla, Brian Tsan, Florin Rusu, Eduardo Ogasawara, Artur Ziviani, and Fabio Porto. "DJEnsemble: A Cost-Based Selection and Allocation of a Disjoint Ensemble of Spatio-temporal Models", Proceedings of SSDBM 2021, Tampa, Florida, July 2021.
• Yesdaulet Izenov, Asoke Datta, Florin Rusu, and Jun Hyung Shin. "COMPASS: Online Sketch-based Query Optimization for In-Memory Databases", Proceedings of ACM SIGMOD 2021, Xi'an, Shaanxi, China, June 2021. [Yesdaulet's talk recording]
• Yujing Ma, Florin Rusu, Kesheng Wu, and Alexander Sim. "Adaptive Stochastic Gradient Descent for Deep Learning on Heterogeneous CPU+GPU Architectures", Proceedings of IPDPSW (HCW) 2021, May 2021. [Yujing's talk recording]
• Amar Saini, Florin Rusu, and Andrew Johnston. "PrivateJobMatch: A Privacy-Oriented Deferred Multi-Match Recommender System for Stable Employment", Proceedings of RecSys 2019, Copenhagen, Denmark, September 2019. [Amar's talk slides (pdf)]
• Yujing Ma, Florin Rusu, and Martin Torres. "Stochastic Gradient Descent on Modern Hardware: Multi-core CPU or GPU? Synchronous or Asynchronous?", Proceedings of IPDPS 2019, Rio de Janeiro, Brazil, May 2019. [Talk slides (pdf)]
• Weijie Zhao, Florin Rusu, Bin Dong, Kesheng Wu, Anna Y. Q. Ho, and Peter Nugent. "Distributed Caching for Processing Raw Arrays", Proceedings of SSDBM 2018, Bolzano-Bozen, Italy, July 2018. [Talk slides (pdf)]
• Chengjie Qin and Florin Rusu. "Dot-Product Join: Scalable In-Database Linear Algebra for Big Model Analytics", Proceedings of SSDBM 2017, Chicago, Illinois, June 2017. [Talk slides (pdf)]
• Yu Cheng, Weijie Zhao, and Florin Rusu. "Bi-Level Online Aggregation on Raw Data", Proceedings of SSDBM 2017, Chicago, Illinois, June 2017. [Yu's talk slides (pdf)]
• Bin Dong, Kesheng Wu, Surendra Byna, Jialin Liu, Weijie Zhao, and Florin Rusu. "ArrayUDF: User-Defined Scientific Data Analysis on Arrays", Proceedings of ACM HPDC 2017, Washington, DC, June 2017. [Bin's talk slides (pdf)]
• Weijie Zhao, Florin Rusu, Bin Dong, Kesheng Wu, and Peter Nugent. "Incremental View Maintenance over Array Data", Proceedings of ACM SIGMOD 2017, Chicago, Illinois, May 2017. [Weijie's talk slides (pdf)] [Weijie's presentation video]
• Borui Wang, Martin Torres, Dong Li, Jishen Zhao, and Florin Rusu. "Performance Implications of Processing-in-Memory Designs on Data-Intensive Applications", Proceedings of HUCAA Workshop held in conjunction with ICPP 2016, Philadelphia, Pennsylvania, August 2016.
• Weijie Zhao, Florin Rusu, Bin Dong, and Kesheng Wu. "Similarity Join over Array Data", Proceedings of ACM SIGMOD 2016, San Francisco, California, June 2016. [Weijie's talk slides (pdf)]
• Weijie Zhao, Yu Cheng, and Florin Rusu. "Vertical Partitioning for Query Processing over Raw Data", Proceedings of SSDBM 2015, San Diego, California, June 2015. [Weijie's talk slides (pdf)]
• Chengjie Qin and Florin Rusu. "Speculative Approximations for Terascale Distributed Gradient Descent Optimization", Proceedings of DanaC Workshop held in conjunction with ACM SIGMOD 2015, Melbourne, Victoria, Australia, May 2015. [Talk slides (pdf)]
• Yu Cheng and Florin Rusu. "Parallel In-Situ Data Processing with Speculative Loading", Proceedings of ACM SIGMOD 2014, Snowbird, Utah, June 2014. [Yu's talk slides (pdf)]
• Florin Rusu, Peter Nugent, and John K. Wu. "Implementing the Palomar Transient Factory Real-Time Detection Pipeline in GLADE: Results and Observations", Proceedings of DNIS 2014, Aizu-Wakamatsu, Japan, March 2014, pp. 53-66. [Talk slides (pdf)]
• Chengjie Qin and Florin Rusu. "Speeding-Up Distributed Low-Rank Matrix Factorization", Proceedings of CloudCom-Asia 2013, Fuzhou, China, December 2013, pp. 521-528. [Chengjie's talk recording]
• Yu Cheng and Florin Rusu. "Astronomical Data Processing in EXTASCID", Proceedings of SSDBM 2013 (Demo Track), Baltimore, Maryland, July 2013, pp. 387-390.
• Chengjie Qin and Florin Rusu. "Parallel Online Aggregation in Action", Proceedings of SSDBM 2013 (Demo Track), Baltimore, Maryland, July 2013, pp. 383-386.
• Chengjie Qin and Florin Rusu. "Sampling Estimators for Parallel Online Aggregation", Proceedings of BNCOD 2013, Oxford, Great Britain, July 2013, pp. 204-217. [Talk slides (pdf)]
• Chengjie Qin and Florin Rusu. "Scalable I/O-Bound Parallel Incremental Gradient Descent for Big Data Analytics in GLADE", Proceedings of DanaC Workshop held in conjunction with ACM SIGMOD 2013, New York, New York, June 2013, pp. 16-20. [Talk slides (pdf)]
• Yu Cheng, Chengjie Qin, and Florin Rusu. "GLADE: Big Data Analytics Made Easy", Proceedings of ACM SIGMOD 2012 (Demo Track), Scottsdale, Arizona, May 2012, pp. 697-700. [Poster (pdf)]
• Florin Rusu and Alin Dobra. "GLADE: A Scalable Framework for Efficient Analytics", Proceedings of LADIS Workshop held in conjunction with VLDB 2011, Seattle, Washington, September 2011. [Talk slides (pdf)]
• Florin Rusu and Alin Dobra. "Sketching Sampled Data Streams", Proceedings of IEEE ICDE 2009, Shanghai, China, April 2009, pp.381-392. [Talk slides (pdf)] [Poster (pdf)]
• Florin Rusu, Fei Xu, Ravi Jampani, Luis Perez, Mingxi Wu, Chris Jermaine, and Alin Dobra. "The DBO Database System", Proceedings of ACM SIGMOD 2008 (Demo Track), Vancouver, British Columbia, Canada, June 2008, pp. 1223-1226. [Poster (pdf)]
• Florin Rusu and Alin Dobra. "Statistical Analysis of Sketch Estimators", Proceedings of ACM SIGMOD 2007, Beijing, China, June 2007, pp. 187-198. [Talk slides (pdf)]
• Florin Rusu and Alin Dobra. "Fast Range-Summable Random Variables for Efficient Aggregate Estimation", Proceedings of ACM SIGMOD 2006, Chicago, Illinois, June 2006, pp. 193-204. [Talk slides (pdf)]

Technical Report

• Suren Byna, Stratos Idreos, Terry Jones, Kathryn Mohror, Rob Ross, and Florin Rusu. "Management and Storage of Scientific Data", U.S. Department of Energy Office of Scientific and Technical Information, March 2022.
• Suren Byna, Stratos Idreos, Terry Jones, Kathryn Mohror, Rob Ross, and Florin Rusu. "Position Papers for the ASCR Workshop on the Management and Storage of Scientific Data", U.S. Department of Energy Office of Scientific and Technical Information, January 2022.
• Asoke Datta, Yesdaulet Izenov, Brian Tsan, and Florin Rusu. "Simpli-Squared: A Very Simple Yet Unexpectedly Powerful Join Ordering Algorithm Without Cardinality Estimates", CoRR arXiv:2111.00163, November 2021.
• Yujing Ma, Florin Rusu, Kesheng Wu, and Alexander Sim. "Adaptive Elastic Training for Sparse Deep Learning on Heterogeneous Multi-GPU Servers", CoRR arXiv:2110.07029, October 2021.
• Yesdaulet Izenov, Asoke Datta, Florin Rusu, and Jun Hyung Shin. "Online Sketch-based Query Optimization", CoRR arXiv:2102.02440, February 2021.
• Yania Molina Souto, Rafael Pereira, Rocio Zorrilla, Anderson Chaves, Brian Tsan, Florin Rusu, Eduardo Ogasawara, Artur Ziviani, and Fabio Porto. "DJEnsemble: On the Selection of a Disjoint Ensemble of Deep Learning Black-Box Spatio-Temporal Models", CoRR arXiv:2005.11093, May 2020.
• Yujing Ma and Florin Rusu. "Heterogeneous CPU+GPU Stochastic Gradient Descent Algorithms", CoRR arXiv:2004.08771, April 2020.
• Florin Rusu and Zhiyi Huang. "In-Depth Benchmarking of Graph Database Systems with the Linked Data Benchmark Council (LDBC) Social Network Benchmark (SNB)", CoRR arXiv:1907.07405, July 2019.
• Cagatay Turkay, Carsten Binnig, Jean-Daniel Fekete, Barbara Hammer, Daniel A. Keim, Themis Palpanas, Nicola Pezzotti, Florin Rusu, Hendrik Strobelt, and Yunhai Wang. "Progressive Data Science: Potential and Challenges", Dagstuhl Reports on Progressive Data Analysis and Visualization, Vol. 8, No. 10, pp. 39, April 2019.
• Florin Rusu, Carsten Binnig, Jorn Kohlhammer, Stefan Manegold, Themis Palpanas, Nicola Pezzotti, Charles D. Stolper, and Chris Weaver. "ProgressiveDB: Architecture Report", Dagstuhl Reports on Progressive Data Analysis and Visualization, Vol. 8, No. 10, pp. 23-27, April 2019.
• Florin Rusu. "Progressive Algorithms and Systems", Dagstuhl Reports on Progressive Data Analysis and Visualization, Vol. 8, No. 10, pp. 6-7, April 2019.
• Jun Hyung Shin, Florin Rusu, and Alex Suhan. "Exact Selectivity Computation for Modern In-Memory Database Query Optimization", CoRR arXiv:1901.01488, January 2019.
• Cagatay Turkay, Nicola Pezzotti, Carsten Binnig, Hendrik Strobelt, Barbara Hammer, Daniel A. Keim, Jean-Daniel Fekete, Themis Palpanas, Yunhai Wang, and Florin Rusu. "Progressive Data Science: Potential and Challenges", CoRR arXiv:1812.08032, December 2018.
• Weijie Zhao, Florin Rusu, Bin Dong, Kesheng Wu, Anna Y. Q. Ho, and Peter Nugent. "Distributed Caching for Complex Querying of Raw Arrays", CoRR arXiv:1803.06089, March 2018.
• Yujing Ma, Florin Rusu, and Martin Torres. "Stochastic Gradient Descent on Highly-Parallel Architectures", CoRR arXiv:1802.08800, February 2018.
• Anna Y. Q. Ho, S. R. Kulkarni, Peter E. Nugent, Weijie Zhao, Florin Rusu, S. Bradley Cenko, Vikram Ravi, Mansi M. Kasliwal, Daniel A. Perley, Scott M. Adams, Eric C. Bellm, Patrick Brady, Christoffer Fremling, Avishay Gal-Yam, David Alexander Kann, David Kaplan, Russ R. Laher, Frank Masci, Eran O. Ofek, Jesper Sollerman, and Alex Urban. "iPTF Archival Search for Fast Optical Transients", CoRR arXiv:1712.00949, December 2017.
• M. M. Kasliwal, E. Nakar, L. P. Singer, D. L. Kaplan, D. O. Cook, A. Van Sistine, R. M. Lau, C. Fremling, O. Gottlieb, J. E. Jencson, S. M. Adams, U. Feindt, K. Hotokezaka, S. Ghosh, D. A. Perley, P.-C. Yu, T. Piran, J. R. Allison, G. C. Anupama, A. Balasubramanian, K. W Bannister, J. Bally, J. Barnes, S. Barway, E. Bellm, V. Bhalerao, D. Bhattacharya, N. Blagorodnova, J. S. Bloom, P. R. Brady, C. Cannella, D. Chatterjee, S. B. Cenko, B. E. Cobb, C. Copperwheat, A. Corsi, K. De, D. Dobie, S. W. K. Emery, P. A. Evans, O. D. Fox, D. A. Frail, C. Frohmaier, A. Goobar, G. Hallinan, F. Harrison, G. Helou, T. Hinderer, A. Y. Q. Ho, A. Horesh, W.-H. Ip, R. Itoh, D. Kasen, H. Kim, N. P. M. Kuin, T. Kupfer, C. Lynch, K. Madsen, P. A. Mazzali, A. A. Miller, K. Mooley, T. Murphy, C.-C. Ngeow, D. Nichols, S. Nissanke, P. Nugent, E. O. Ofek, H. Qi, R. M. Quimby, S. Rosswog, F. Rusu, E. M. Sadler, P. Schmidt, J. Sollerman, I. Steele, A. R. Williamson, Y. Xu, L. Yan, Y. Yatsu, C. Zhang, and W. Zhao. "Illuminating Gravitational Waves: A Concordant Picture of Photons from a Neutron Star Merger", CoRR arXiv:1710.05436, October 2017.
• Yu Cheng, Weijie Zhao, and Florin Rusu. "OLA-RAW: Scalable Exploration over Raw Data", CoRR arXiv:1702.00358, February 2017.
• Borui Wang, Martin Torres, Dong Li, Jishen Zhao, and Florin Rusu. "Performance Implications of Processing-in-Memory Designs on Data-Intensive Applications", March 2016.
• Chengjie Qin and Florin Rusu. "Dot-Product Join: An Array-Relation Join Operator for Big Model Analytics", CoRR arXiv:1602.08845, February 2016.
• Weijie Zhao, Yu Cheng, and Florin Rusu. "Workload-Driven Vertical Partitioning for Effective Query Processing over Raw Data", CoRR arXiv:1503.08946, March 2015.
• Chengjie Qin and Florin Rusu. "Speculative Approximations for Terascale Analytics", CoRR arXiv:1501.00255, December 2014.
• Yu Cheng and Florin Rusu. "Formal Representation of the SS-DB Benchmark and Experimental Evaluation in EXTASCID", CoRR arXiv:1305.1609, May 2013.
• Florin Rusu and Yu Cheng. "A Survey on Array Storage, Query Languages, and Systems", CoRR arXiv:1302.0103, February 2013.
• Chengjie Qin and Florin Rusu. "PF-OLA: A High-Performance Framework for Parallel On-Line Aggregation", CoRR arXiv:1206.0051, June 2012.

Poster

• Yesdaulet Izenov, Asoke Datta, Jun Hyung Shin, and Florin Rusu. "Sketch-based Join Order Selection for In-Memory Database Systems", NorCal Database Day 2019, Mountain View, California, May 2019.
• Amar Saini, Twinkle Mistry, Florin Rusu, and Andrew Johnston. "PrivateJobMatch: A Privacy-Oriented Deferred Multi-Match Recommender System for Stable Employment", NorCal Database Day 2019, Mountain View, California, May 2019.
• Yujing Ma, Florin Rusu, and Martin Torres. "Gradient Descent Algorithms on Modern Hardware", NorCal Database Day 2019, Mountain View, California, May 2019.
• Jun Hyung Shin, Florin Rusu, and Alex Suhan. "Selectivity Computation for In-Memory Query Optimization", CIDR 2019, Asilomar, California, January 2019.
• Ye Zhu and Florin Rusu. "High-Throughput Push-Based Storage Manager", NorCal Database Day 2018, Redwood City, California, May 2018.
• Yujing Ma, Martin Torres, and Florin Rusu. "Asynchronous Stochastic Gradient Descent on GPU: Is It Really Better than CPU?", NorCal Database Day 2018, Redwood City, California, May 2018.
• Weijie Zhao, Florin Rusu, Bin Dong, Kesheng Wu, Anna Y. Q. Ho, and Peter Nugent. "Distributed Caching for Processing Raw Arrays", NorCal Database Day 2018, Redwood City, California, May 2018.
• Jun Hyung Shin, Florin Rusu, and Alex Suhan. "Novel Selectivity Estimation Strategy for Modern DBMS", NorCal Database Day 2018, Redwood City, California, May 2018.
• Weijie Zhao, Zhiyi Huang, Florin Rusu, Kai Zeng, and Rahul Potharaju. "Adaptive Online Aggregation with Randomness Detection", NorCal Database Day 2018, Redwood City, California, May 2018.
• Florin Rusu and Yujing Ma. "Asynchronous Stochastic Gradient Descent on GPU: Is It Really Better than CPU?", XLDB 2018, Palo Alto, California, May 2018.
• Yujing Ma, Martin Torres, and Florin Rusu. "In-Depth Analysis of HOGWILD SGD on GPU", NorCal Database Day 2017, San Francisco, California, April 2017.
• Zhiyi Huang, Weijie Zhao, Florin Rusu, and Kai Zeng. "Initialization-Free Online Aggregation with Adaptive Sampling", NorCal Database Day 2017, San Francisco, California, April 2017.
• Weijie Zhao, Florin Rusu, Bin Dong, Kesheng Wu, and Peter Nugent. "Incremental View Maintenance over Array Data", NorCal Database Day 2017, San Francisco, California, April 2017.
• Chengjie Qin, Martin Torres, and Florin Rusu. "Scalable HOGWILD! for Big Models", NorCal Database Day 2017, San Francisco, California, April 2017 & BayLearn 2016, Sunnyvale, California, October 2016.
• Florin Rusu. "Scalable In-Situ Exploration over Raw Data", CIDR 2017, Santa Cruz, California, January 2017.
• Yu Cheng, Weijie Zhao, and Florin Rusu. "Online Aggregation on Raw Data", NorCal Database Day 2016, Mountain View, California, April 2016.
• Chengjie Qin, Martin Torres, and Florin Rusu. "Dot-Product Join: An Array-Relation Join Operator for Big Model Analytics", NorCal Database Day 2016, Mountain View, California, April 2016.
• Weijie Zhao, Florin Rusu, Bin Dong, and Kesheng Wu. "Similarity Join over Array Data", NorCal Database Day 2016, Mountain View, California, April 2016.
• Chi Zhang and Florin Rusu. "When to Stop Random Walks in Social Networks", NorCal Database Day 2016, Mountain View, California, April 2016.
• Abdur Rafay, Abhineet Dubey, Zhiyi Huang, Xin Zhang, and Florin Rusu. "Recent Developments in GLADE", NorCal Database Day 2016, Mountain View, California, April 2016.
• Chengjie Qin and Florin Rusu. "Database Parameter Server", BayLearn 2015, Menlo Park, California, October 2015.
• Chengjie Qin and Florin Rusu. "Effective Model Calibration for Terascale Analytics", XLDB 2015, Palo Alto, California, May 2015.
• Chengjie Qin and Florin Rusu. "Effective Model Calibration for Terascale Analytics", NorCal Database Day 2015, Santa Cruz, California, April 2015.
• Weijie Zhao, Yu Cheng, and Florin Rusu. "Vertical Partitioning for Query Processing over Raw Data", NorCal Database Day 2015, Santa Cruz, California, April 2015.
• Chengjie Qin and Florin Rusu. "Fast Parameter Tuning with Approximations at Scale", BayLearn 2014, Berkeley, California, October 2014.
• Yu Cheng and Florin Rusu. "Parallel In-Situ Data Processing with Speculative Loading", NorCal Database Day 2014, IBM Almaden Research Center, California, April 2014.
• Chengjie Qin and Florin Rusu. "Intra-Iteration Approximations for Parallel Gradient Descent Optimization", NorCal Database Day 2014, IBM Almaden Research Center, California, April 2014.
• Zixuan Zhuang and Florin Rusu. "Workload-Driven Antijoin Cardinality Estimation", NorCal Database Day 2014, IBM Almaden Research Center, California, April 2014.
• Florin Rusu, Yu Cheng, and Suzanne Sindi. "In-Situ Processing of Genomic Sequence Alignment Data", XLDB 2013, Palo Alto, California, September 2013. [Talk recording.]
• Chengjie Qin and Florin Rusu. "Lightning-Fast, Dirt-Cheap Parallel Stochastic Gradient Descent for Big Data in GLADE", BayLearn 2013, Menlo Park, California, August 2013.
• Yu Cheng and Florin Rusu. "Running Queries From Raw Files", NorCal Database Day 2013, Palo Alto, California, April 2013.
• Chengjie Qin and Florin Rusu. "Scalable I/O-Bound Parallel Incremental Gradient Descent for Big Data Analytics in GLADE", NorCal Database Day 2013, Palo Alto, California, April 2013.
• Yu Cheng and Florin Rusu. "EXTASCID: An Extensible System for the Analysis of Scientific Data", XLDB 2012, Palo Alto, California, September 2012.
• Yu Cheng and Florin Rusu. "EXTASCI: An Extensible System for Scientific Data Analysis", NorCal Database Day 2012, Berkeley, California, April 2012.
• Chengjie Qin and Florin Rusu. "PF-OLA: A High-Performance Framework for Parallel On-Line Aggregation", NorCal Database Day 2012, Berkeley, California, April 2012.
• Florin Rusu. "GLADE: A Scalable Framework for Efficient Analytics", XLDB 2011, Menlo Park, California, October 2011.
• Florin Rusu. "GLADE: A Highly-Scalable Architecture-Independent Framework for Efficient Analytics", NorCal Database Day 2011, Davis, California, April 2011.

Other Significant Contributions

• David Vengerov, Andre Cavalheiro Menck, Mohamed Zait, and Sunil P. Chakkappen. "Join Size Estimation Subject to Filter Conditions", Proceedings of the VLDB Endowment (PVLDB), Vol. 8, No. 12, pp. 1530-1541, September 2015.
• Subi Arumugam, Alin Dobra, Chris Jermaine, Niketan Pansare, and Luis Perez. "The DataPath System: A Data-Centric Analytic Processing Engine for Large Data Warehouses", Proceedings of ACM SIGMOD 2010, Indianapolis, Indiana, June 2010.

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