Recent Publications by Topic

This organization lasts until 2022; at some point, I will update this list!

Information Visualization

1. PAPER Lux: Always-on Visualization Recommendations for Exploratory Data Science.
   Doris Jung-Lin Lee, Dixin Tang, Kunal Agarwal, Thyne Boonmark, Caitlyn Chen, Jake Kang, Ujjaini Mukhopadhyay, Jerry Song, Micah Yong, Marti A. Hearst, Aditya G. Parameswaran. 48th International Conference on Very Large Data Bases (VLDB), Sydney, Australia and Zoom. September 2022
   (Downloaded over 675K times as of October 2023, and used in a variety of industries.)
   
2. PAPER Deconstructing Categorization in Visualization Recommendation: A Taxonomy and Comparative Study.
   Doris Jung-Lin Lee, Vidya Setlur, Melanie Tory, Karrie Karahalios, Aditya Parameswaran. IEEE Int'l Conf. on Information Visualization (InfoVis), Zoom. October 2021
   
3. PAPER Uncovering Effective Explanations for Interactive Genomic Data Analysis.
   Silu Huang, Charles Blatti, Saurabh Sinha, Aditya Parameswaran. Patterns, Cell Press, Volume 1, Issue 6, 100093. September, 2020
   
4. PAPER ShapeSearch: A Flexible and Efficient System for Shape-based Exploration of Trendlines.
   Tarique Siddiqui, Zesheng Wang, Paul Luh, Karrie Karahalios, Aditya Parameswaran. SIGMOD Int'l Conf. on Management of Data, Portland, USA. June 2020
   (Best Paper Award: 2 our of 450+ submissions.)
   
5. PAPER You can't always sketch what you want: Understanding Sensemaking in Visual Query Systems.
   Doris Jung-Lin Lee, John Lee, Tarique Siddiqui, Jaewoo Kim, Karrie Karahalios, Aditya Parameswaran. IEEE Int’l Conf. on Visual Analytics Science & Technology (TVCG Track at VAST’19 at VIS), Vancouver, Canada. October 2019
   
6. PAPER An Exploratory User Study of Visual Causality Analysis.
   Chi-Hsien Yen, Aditya Parameswaran, Wai-Tat Fu. 21st Eurographics Conference on Visualization (EuroVis), Porto, Portugal. June 2019
   
7. PAPER Avoiding drill-down fallacies with VisPilot: assisted exploration of data subsets.
   Doris Jung-Lin Lee, Himel Dev, Huizi Hu, Hazem Elmeleegy, Aditya Parameswaran. 24th International Conference on Intelligent User Interfaces (IUI), Los Angeles, USA. March 2019
   
8. PAPER Adaptive Sampling for Rapidly Matching Histograms.
   Stephen Macke, Yiming Zhang, Silu Huang, Aditya Parameswaran. 44th International Conference on Very Large Data Bases (VLDB), Rio de Janeiro, Brazil. September 2018
   
9. PAPER ShapeSearch: Flexible Pattern-based Querying of Trend Line Visualizations (Demo).
   Tarique Siddiqui, Paul Luh, Zesheng Wang, Karrie Karahalios, Aditya Parameswaran. 44th International Conference on Very Large Data Bases (VLDB), Rio de Janeiro, Brazil. September 2018
   
10. PAPER Optimally Leveraging Density and Locality to Support LIMIT Queries.
    Albert Kim, Liqi Xu, Tarique Siddiqui, Silu Huang, Sam Madden, Aditya Parameswaran. HILDA Workshop at SIGMOD Int'l Conf. on Management of Data, Houston, USA. June 2018
    

Interaction and Approximation

1. PAPER Flexible Rule-Based Decomposition and Metadata Independence in Modin: A Parallel Dataframe System.
   Devin Petersohn*, Dixin Tang*, Rehan Durrani, Areg Melik-Adamyan, Joseph E. Gonzalez, Anthony D. Joseph, Aditya G. Parameswaran. 48th International Conference on Very Large Data Bases (VLDB), Sydney, Australia and Zoom. September 2022
   (Downloaded over 14M times as of October 2023, and used in a variety of industries.)
   
2. PAPER Rapid Approximate Aggregation with Distribution-Sensitive Interval Guarantees.
   Stephen Macke, Maryam Aliakbarpour, Ilias Diakonikolas, Aditya Parameswaran, Ronitt Rubinfeld. 37th International Conf. on Data Engineering (ICDE), Chania, Greece and Zoom. April 2021
   
3. PAPER Towards Scalable Dataframe Systems.
   Devin Petersohn, Stephen Macke, Doris Xin, William Ma, Doris Lee, Xiangxi Mo, Joseph E. Gonzalez, Joseph M. Hellerstein, Anthony D. Joseph, Aditya Parameswaran. 46th Int'l Conf. on Very Large Data Bases, Tokyo, Japan. August 2020
   
4. PAPER Benchmarking Spreadsheet Systems.
   Sajjadur Rahman, Kelly Mack, Mangesh Bendre, Ruilin Zhang, Karrie Karahalios, Aditya Parameswaran. SIGMOD Int'l Conf. on Management of Data, Portland, USA. June 2020
   (Covered in the Morning Paper, a popular industry blog)
   
5. PAPER You can't always sketch what you want: Understanding Sensemaking in Visual Query Systems.
   Doris Jung-Lin Lee, John Lee, Tarique Siddiqui, Jaewoo Kim, Karrie Karahalios, Aditya Parameswaran. IEEE Int’l Conf. on Visual Analytics Science & Technology (TVCG Track at VAST’19 at VIS), Vancouver, Canada. October 2019
   
6. PAPER Helix: Holistic Optimization for Accelerating Iterative Machine Learning.
   Doris Xin, Stephen Macke, Litian Ma, Jialin Liu, Shuchen Song, Aditya Parameswaran. 45th International Conference on Very Large Data Bases (VLDB), Los Angeles, USA. September 2019
   
7. PAPER Anti-Freeze for Large and Complex Spreadsheets: Asynchronous Formula Computation.
   Mangesh Bendre, Tana Wattanawaroon, Kelly Mack, Kevin Chang, Aditya Parameswaran. SIGMOD Int'l Conf. on Management of Data, Amsterdam, The Netherlands. June 2019
   
8. PAPER Avoiding drill-down fallacies with VisPilot: assisted exploration of data subsets.
   Doris Jung-Lin Lee, Himel Dev, Huizi Hu, Hazem Elmeleegy, Aditya Parameswaran. 24th International Conference on Intelligent User Interfaces (IUI), Los Angeles, USA. March 2019
   
9. PAPER Adaptive Sampling for Rapidly Matching Histograms.
   Stephen Macke, Yiming Zhang, Silu Huang, Aditya Parameswaran. 44th International Conference on Very Large Data Bases (VLDB), Rio de Janeiro, Brazil. September 2018
   
10. PAPER Helix: Accelerating Human-in-the-loop Machine Learning (Demo).
    Doris Xin, Litian Ma, Jialin Liu, Stephen Macke, Shuchen Song, Aditya Parameswaran. 44th International Conference on Very Large Data Bases (VLDB), Rio de Janeiro, Brazil. September 2018
    

Machine Learning, Data Mining, Information Extraction, and Search

1. PAPER Whither AutoML? Understanding the Role of Automation in Machine Learning Workflows.
   Doris Xin, Eva Wu, Doris Lee, Niloufar Salehi, Aditya Parameswaran. International Conference on Human Factors in Computing Systems (CHI), Yokohama, Japan and Zoom. May 2021
   
2. PAPER Demystifying a Dark Art: Understanding Real-World Machine Learning Model Development.
   Angela Lee, Doris Xin, Doris Lee, Aditya Parameswaran. Workshop on Human-in-the-Loop Data Analytics (HILDA) at the ACM SIGMOD Int'l Conf. on Management of Data, Portland, USA. June 2020
   
3. PAPER CRUX: Adaptive Querying for Efficient Crowdsourced Data Extraction.
   Theodoros Rekatsinas, Amol Deshpande, Aditya Parameswaran. 28th ACM International Conference on Information and Knowledge Management (CIKM ’19), Beijing, China. November 2019
   
4. PAPER Helix: Holistic Optimization for Accelerating Iterative Machine Learning.
   Doris Xin, Stephen Macke, Litian Ma, Jialin Liu, Shuchen Song, Aditya Parameswaran. 45th International Conference on Very Large Data Bases (VLDB), Los Angeles, USA. September 2019
   
5. PAPER Helix: Accelerating Human-in-the-loop Machine Learning (Demo).
   Doris Xin, Litian Ma, Jialin Liu, Stephen Macke, Shuchen Song, Aditya Parameswaran. 44th International Conference on Very Large Data Bases (VLDB), Rio de Janeiro, Brazil. September 2018
   
6. PAPER How Developers Iterate on Machine Learning Workflows -- A Survey of the Applied Machine Learning Literature.
   Doris Xin, Litian Ma, Shuchen Song, Aditya Parameswaran. IDEA Workshop at KDD Int'l Conf. on Knowledge Discovery and Data Mining, London, UK. August 2018
   
7. PAPER Quality Evaluation Methods for Crowdsourced Image Segmentation.
   Doris Jung-Lin Lee, Akash Das Sarma, Aditya Parameswaran. 6th International Conference on Human Computation and Crowdsourcing (HCOMP), Zurich, Switzerland. July 2018
   
8. PAPER Navigating the Data Lake with Datamaran: Automatically Extracting Structure from Log Datasets.
   Yihan Gao, Silu Huang, Aditya Parameswaran. SIGMOD Int'l Conf. on Management of Data, Houston, USA. June 2018
   
9. PAPER Accelerating Human-in-the-loop Machine Learning: Challenges and Opportunities.
   Doris Xin, Litian Ma, Jialin Liu, Stephen Macke, Shuchen Song, Aditya Parameswaran. DEEM Workshop at SIGMOD Int'l Conf. on Management of Data, Houston, USA. June 2018
   
10. PRE-PRINT Towards a Theory of Data-Diff: Optimal Synthesis of Succinct Data Modification Scripts.
    Tana Wattanawaroon, Stephen Macke, Aditya Parameswaran. Technical Report. December 2017
    

Theoretical Results in Database and Data Processing

1. PAPER Flexible Rule-Based Decomposition and Metadata Independence in Modin: A Parallel Dataframe System.
   Devin Petersohn*, Dixin Tang*, Rehan Durrani, Areg Melik-Adamyan, Joseph E. Gonzalez, Anthony D. Joseph, Aditya G. Parameswaran. 48th International Conference on Very Large Data Bases (VLDB), Sydney, Australia and Zoom. September 2022
   (Downloaded over 14M times as of October 2023, and used in a variety of industries.)
   
2. PAPER Rapid Approximate Aggregation with Distribution-Sensitive Interval Guarantees.
   Stephen Macke, Maryam Aliakbarpour, Ilias Diakonikolas, Aditya Parameswaran, Ronitt Rubinfeld. 37th International Conf. on Data Engineering (ICDE), Chania, Greece and Zoom. April 2021
   
3. PAPER Towards Scalable Dataframe Systems.
   Devin Petersohn, Stephen Macke, Doris Xin, William Ma, Doris Lee, Xiangxi Mo, Joseph E. Gonzalez, Joseph M. Hellerstein, Anthony D. Joseph, Aditya Parameswaran. 46th Int'l Conf. on Very Large Data Bases, Tokyo, Japan. August 2020
   
4. PAPER Helix: Holistic Optimization for Accelerating Iterative Machine Learning.
   Doris Xin, Stephen Macke, Litian Ma, Jialin Liu, Shuchen Song, Aditya Parameswaran. 45th International Conference on Very Large Data Bases (VLDB), Los Angeles, USA. September 2019
   
5. PAPER Adaptive Sampling for Rapidly Matching Histograms.
   Stephen Macke, Yiming Zhang, Silu Huang, Aditya Parameswaran. 44th International Conference on Very Large Data Bases (VLDB), Rio de Janeiro, Brazil. September 2018
   
6. PAPER Optimally Leveraging Density and Locality to Support LIMIT Queries.
   Albert Kim, Liqi Xu, Tarique Siddiqui, Silu Huang, Sam Madden, Aditya Parameswaran. HILDA Workshop at SIGMOD Int'l Conf. on Management of Data, Houston, USA. June 2018
   
7. PAPER DataDiff: User-Interpretable Data Transformation Summaries for Collaborative Data Analysis (Demo).
   Gunce Yilmaz, Tana Wattanawaroon, Liqi Xu, Abhishek Nigam, Aaron Elmore, Aditya Parameswaran. SIGMOD Int'l Conf. on Management of Data, Houston, USA. June 2018
   
8. PRE-PRINT Towards a Theory of Data-Diff: Optimal Synthesis of Succinct Data Modification Scripts.
   Tana Wattanawaroon, Stephen Macke, Aditya Parameswaran. Technical Report. December 2017
   
9. PAPER I've Seen Enough: Incrementally Improving Visualizations to Support Rapid Decision Making.
   Sajjadur Rahman, Maryam Aliakbarpour, Ha Kyung Kong, Eric Blais, Karrie Karahalios, Aditya Parameswaran, Ronitt Rubinfeld. 43rd International Conference on Very Large Data Bases (VLDB), Munich, Germany. September 2017
   
10. PAPER OrpheusDB: Bolt-on Versioning for Relational Databases.
    Silu Huang, Liqi Xu, Jialin Liu, Aaron Elmore, Aditya Parameswaran. 43rd International Conference on Very Large Data Bases (VLDB), Munich, Germany. September 2017
    (Invited to: Special Issue of VLDB Journal for VLDB 2017 Best Papers)
    

Human-Computer Interaction/Publications with User Studies

1. PAPER Lux: Always-on Visualization Recommendations for Exploratory Data Science.
   Doris Jung-Lin Lee, Dixin Tang, Kunal Agarwal, Thyne Boonmark, Caitlyn Chen, Jake Kang, Ujjaini Mukhopadhyay, Jerry Song, Micah Yong, Marti A. Hearst, Aditya G. Parameswaran. 48th International Conference on Very Large Data Bases (VLDB), Sydney, Australia and Zoom. September 2022
   (Downloaded over 675K times as of October 2023, and used in a variety of industries.)
   
2. PAPER Deconstructing Categorization in Visualization Recommendation: A Taxonomy and Comparative Study.
   Doris Jung-Lin Lee, Vidya Setlur, Melanie Tory, Karrie Karahalios, Aditya Parameswaran. IEEE Int'l Conf. on Information Visualization (InfoVis), Zoom. October 2021
   
3. PAPER Whither AutoML? Understanding the Role of Automation in Machine Learning Workflows.
   Doris Xin, Eva Wu, Doris Lee, Niloufar Salehi, Aditya Parameswaran. International Conference on Human Factors in Computing Systems (CHI), Yokohama, Japan and Zoom. May 2021
   
4. PAPER ShapeSearch: A Flexible and Efficient System for Shape-based Exploration of Trendlines.
   Tarique Siddiqui, Zesheng Wang, Paul Luh, Karrie Karahalios, Aditya Parameswaran. SIGMOD Int'l Conf. on Management of Data, Portland, USA. June 2020
   (Best Paper Award: 2 our of 450+ submissions.)
   
5. PAPER Demystifying a Dark Art: Understanding Real-World Machine Learning Model Development.
   Angela Lee, Doris Xin, Doris Lee, Aditya Parameswaran. Workshop on Human-in-the-Loop Data Analytics (HILDA) at the ACM SIGMOD Int'l Conf. on Management of Data, Portland, USA. June 2020
   
6. PAPER Understanding Data Analysis Workflows on Spreadsheets: Roadblocks and Opportunities.
   Pingjing Yang, Ti-Chung Cheng, Sajjadur Rahman, Mangesh Bendre, Karrie Karahalios, Aditya Parameswaran. Workshop on Human-in-the-Loop Data Analytics (HILDA) at the ACM SIGMOD Int'l Conf. on Management of Data, Portland, USA. June 2020
   
7. PAPER You can't always sketch what you want: Understanding Sensemaking in Visual Query Systems.
   Doris Jung-Lin Lee, John Lee, Tarique Siddiqui, Jaewoo Kim, Karrie Karahalios, Aditya Parameswaran. IEEE Int’l Conf. on Visual Analytics Science & Technology (TVCG Track at VAST’19 at VIS), Vancouver, Canada. October 2019
   
8. PAPER An Exploratory User Study of Visual Causality Analysis.
   Chi-Hsien Yen, Aditya Parameswaran, Wai-Tat Fu. 21st Eurographics Conference on Visualization (EuroVis), Porto, Portugal. June 2019
   
9. PAPER How Developers Iterate on Machine Learning Workflows -- A Survey of the Applied Machine Learning Literature.
   Doris Xin, Litian Ma, Shuchen Song, Aditya Parameswaran. IDEA Workshop at KDD Int'l Conf. on Knowledge Discovery and Data Mining, London, UK. August 2018
   
10. PAPER Navigating the Data Lake with Datamaran: Automatically Extracting Structure from Log Datasets.
    Yihan Gao, Silu Huang, Aditya Parameswaran. SIGMOD Int'l Conf. on Management of Data, Houston, USA. June 2018
    

Crowd-Powered Data Processing

1. PAPER CRUX: Adaptive Querying for Efficient Crowdsourced Data Extraction.
   Theodoros Rekatsinas, Amol Deshpande, Aditya Parameswaran. 28th ACM International Conference on Information and Knowledge Management (CIKM ’19), Beijing, China. November 2019
   
2. PAPER Quality Evaluation Methods for Crowdsourced Image Segmentation.
   Doris Jung-Lin Lee, Akash Das Sarma, Aditya Parameswaran. 6th International Conference on Human Computation and Crowdsourcing (HCOMP), Zurich, Switzerland. July 2018
   
3. PAPER Understanding Workers, Developing Effective Tasks, and Enhancing Marketplace Dynamics: A Study of a Large Crowdsourcing Marketplace.
   Ayush Jain, Akash Das Sarma, Jennifer Widom, Aditya Parameswaran. 43rd International Conference on Very Large Data Bases (VLDB), Munich, Germany. September 2017
   
4. PAPER SLiMFast: Guaranteed Results for Data Fusion and Source Reliability.
   Theo Rekatsinas, Manas Joglekar, Hector Garcia-Molina, Aditya Parameswaran, and Chris Re. SIGMOD Int'l Conf. on Management of Data, Chicago, USA. June 2017
   
5. PAPER Optimizing Open-Ended Crowdsourcing: The Next Frontier in Crowdsourced Data Management.
   Aditya Parameswaran, Akash Das Sarma, Vipul Venkataraman. IEEE Data Engineering Bulletin, Issue on Human-in-the-loop Data Management. December 2016
   
6. PRE-PRINT It's a Matter of Perspective(s): Crowd-Powered Consensus Organization of Corpora.
   Ayush Jain, Karan Goel, Joon Young Seo, Andrew Kuznetsov, Aditya Parameswaran, Hari Sundaram. Technical Report. November 2016
   
7. PAPER Towards Globally Optimal Crowdsourcing Quality Management.
   Akash Das Sarma, Aditya Parameswaran, Jennifer Widom. SIGMOD International Conf. on Management of Data, San Francisco, USA. June 2016
   
8. PAPER Challenges in Data Crowdsourcing.
   Hector Garcia-Molina, Manas Joglekar, Adam Marcus, Aditya Parameswaran, and Vasilis Verios. IEEE TKDE: Transactions on Knowledge and Data Engineering, (Pages XX-YY). January 2016
   
9. PAPER Crowdsourced Data Management: Industry and Academic Perspectives (Book).
   Adam Marcus and Aditya Parameswaran. Foundations and Trends® in Databases, Vol. 6: No. 1-2, pp 1-161. December 2015
   
10. PAPER Surpassing Humans and Computers with JellyBean: Crowd-Vision-Hybrid Image Counting Algorithms.
    Akash Das Sarma, Ayush Jain, Arnab Nandi, Aditya Parameswaran and Jennifer Widom. 3rd International Conference on Human Computation and Crowdsourcing (HCOMP), San Diego, USA. November 2015
    

Recommender Systems

1. PAPER Uncovering Effective Explanations for Interactive Genomic Data Analysis.
   Silu Huang, Charles Blatti, Saurabh Sinha, Aditya Parameswaran. Patterns, Cell Press, Volume 1, Issue 6, 100093. September, 2020
   
2. PAPER ShapeSearch: A Flexible and Efficient System for Shape-based Exploration of Trendlines.
   Tarique Siddiqui, Zesheng Wang, Paul Luh, Karrie Karahalios, Aditya Parameswaran. SIGMOD Int'l Conf. on Management of Data, Portland, USA. June 2020
   (Best Paper Award: 2 our of 450+ submissions.)
   
3. PAPER Effortless Visual Data Exploration with Zenvisage: An Interactive and Expressive Visual Analytics System.
   Tarique Siddiqui, Albert Kim, John Lee, Karrie Karahalios, Aditya Parameswaran. 43rd International Conference on Very Large Data Bases (VLDB), Munich, Germany. September 2017
   
4. PAPER Fast-forwarding to Desired Visualizations with Zenvisage.
   Tarique Siddiqui, John Lee, Albert Kim, Edward Xue, Xiaofo Yu, Sean Zou, Lijin Guo, Changfeng Liu, Chaoran Wang, Karrie Karahalios, Aditya Parameswaran. Conference on Innovative Database Research (CIDR), Chaminade, USA. January 2017
   
5. PAPER Towards Visualization Recommendation Systems.
   Manasi Vartak, Silu Huang, Tarique Siddiqui, Samuel Madden, and Aditya Parameswaran. 1st Workshop on Data Systems for Interactive Analytics (DSIA), Chicago, USA. October 2015
   
6. PAPER Information Seeking: Convergence of Search, Recommendations and Advertising.
   Hector Garcia-Molina, Georgia Koutrika and Aditya Parameswaran. Communications of the ACM, Viewpoint Article. November 2011
   
7. PAPER Recommendation Systems with Complex Constraints: A CourseRank Perspective.
   Aditya Parameswaran, Petros Venetis and Hector Garcia-Molina. ACM Transactions on Information Systems, Volume 29(4). November 2011
   
8. PAPER Evaluating, Combining and Generalizing Recommendations with Prerequisites.
   Aditya Parameswaran, Hector Garcia-Molina and Jeffrey D. Ullman,. 19th International Conf. on Information and Knowledge Management (CIKM), Toronto, Canada. October 2010
   
9. PAPER Recsplorer: Recommendation Algorithms Based on Precedence Mining.
   Aditya Parameswaran, Georgia Koutrika, Benjamin Berkovitz and Hector Garcia-Molina,. SIGMOD International Conf. on Management of Data, Indianapolis, USA. June 2010
   
10. PAPER Social Sites Research Through CourseRank.
    Benjamin Berkovitz, Filip Kaliszan, Georgia Koutrika, Henry Liou, Aditya Parameswaran, Petros Venetis, Zahra Mohammadi Zadeh and Hector Garcia-Molina,. SIGMOD Record, Volume XXX. December 2009