Selected Publications (Show All)

  1. SPALM: A Sparsity-Pattern-Adaptive Library for Matrices
    Junyoung Kim, Kenneth Ross
    SIGMOD 2026
  2. Data Flow Control: Data Safety Policies for AI Agents
    Charlie Summers, Eugene Wu
    ArXiV 2026
  3. LAKEQA: An Exploratory QA Benchmark over a Million-Scale Data Lake
    Haonan Wang*, Jerry Liu*, Yurong Liu, Austin Senna Wijaya, Tianle Zhou, Eden Wu, Yijia Chen, Wanting You, Reya Vir, Daniela Pinto Veizaga, Grace Fan, Yusen Zhang, Juliana Freire, Eugene Wu
    ICML 2026
  4. A Data Aggregation Visualization System supported by Processing-in-Memory.
    Junyoung Kim, Madhulika Balakumar, Kenneth Ross
    Sixteenth International Workshop on Accelerating Analytics and Data Management Systems Using Modern Processor and Storage Architectures (ADMS at VLDB 2025)
  5. Suna: Scalable Causal Confounder Discovery over Relational Data
    Jiaxiang Liu, Siyuan Xia, Daniel Alabi, Eugene Wu
    VLDB 2025
  6. The Fast and the Private: Task-based Dataset Search
    Zezhou Huang, Jiaxiang Liu, Haonan Wang, Eugene Wu
    CIDR 2024 Slides
  7. JoinBoost: Grow Trees Over Normalized Data Using Only SQL
    Zezhou Huang, Rathijit Sen, Jiaxiang Liu, Eugene Wu
    VLDB 2023
  8. Saibot: A Differentially Private Data Search Platform
    Zezhou Huang, Jiaxiang Liu, Daniel Alabi, Raul Castro Fernandez, Eugene Wu
    VLDB 2023
  9. GAMUT: Matrix Multiplication-Like Tasks on GPUs
    Xincheng Xie, Junyoung Kim, Kenneth Ross
    ADMS 2023
  10. Amulet: Adaptive matrix-multiplication-like tasks
    Junyoung Kim, Kenneth A Ross, Eric Sedlar, Lukas Stadler
    DaMoN 2023
  11. Interactive Interface Generation in Notebooks
    Jeffrey Tao, Yiru Chen, Eugene Wu
    SIGMOD (demo) 2022
  12. PI2: Generating Visual Analysis Interfaces From Queries
    Yiru Chen, Eugene Wu
    SIGMOD 2022
  13. Reptile: Aggregation-level Explanations for Hierarchical Data
    Zachary Huang, Eugene Wu
    SIGMOD 2022
  14. Enabling SQL-based training data debugging for federated learning
    Young Wu, Yejia Liu, Lampros Flokas, Jiannan Wang, Eugene Wu
    VLDB 2022
  15. Complaint-Driven Training Data Debugging at Interactive Speeds
    Lampros Flokas, Young Wu, Jiannan Wang, Nakul Verma, Eugene Wu
    SIGMOD 2022
  16. Adaptive Code Generation for Data-Intensive Analytics
    Wangda Zhang, Junyoung Kim, Kenneth A. Ross, Eric Sedlar, Lucas Stadler
    VLDB 2021
  17. Quantifying the effects of COVID-19 on restaurant reviews
    Ivy Cao, Zizhou Liu, Giannis Karamanolakis, Daniel Hsu, Luis Gravano
    SocialNLP 2021
  18. Physical Visualization Design
    Lana Ramjit, Zhaoning Kong, Ravi Netravali, Eugene Wu
    SIGMOD (demo) 2020
  19. VIP: A SIMD Vectorized Analytical Query Engine
    Orestis Polychroniou, Kenneth A. Ross
    VLDB Journal 2020
  20. Parallel Prefix Sum with SIMD
    Wangda Zhang, Yanbin Wang, Kenneth A. Ross
    ADMS 2020
  21. Permutation Index: Exploiting Data Skew for Improved Query Performance
    Wangda Zhang, Kenneth A. Ross
    ICDE 2020
  22. Exploiting Data Skew for Improved Query Performance
    Wangda Zhang, Kenneth A. Ross
    IEEE TKDE 2020
  23. Efficient Search over Genomic Short Read Data
    Wangda Zhang, Mengdi Lin, Kenneth A. Ross
    SSDBM 2020
  24. Towards Complaint-driven ML Workflow Debugging
    Lampros Flokas, Young Wu, Jiannan Wang, Eugene Wu
    MLOps 2020
  25. Monte Carlo Tree Search for Generating Interactive Data Analysis Interfaces
    Yiru Chen, Eugene Wu
    Intelligent Process Automation (IPA) 2020
  26. Towards Practical Vectorized Analytical Query Engines
    Orestis Polychroniou, Kenneth A. Ross
    DaMoN 2019
  27. Master of None Acceleration: A Comparison of Accelerator Architectures for Analytical Query Processing
    Andrea Lottarini, João Pedro Cerqueira, Thomas J. Repetti, Stephen A. Edwards, Kenneth A. Ross, Mingoo Seok, Martha A. Kim
    ISCA 2019
  28. Precision Interfaces
    Qianrui Zhang, Haoci Zhang, Viraj Rai, Thibault Sellam, Eugene Wu
    SIGMOD 2019
  29. DeepBase: Deep Inspection of Neural Networks
    Thibault Sellam, Kevin Lin, Ian Yiran Huang, Michelle Yang, Carl Vondrick, Eugene Wu
    SIGMOD 2019
  30. Distributed Joins and Data Placement for Minimal Network Traffic
    Orestis Polychroniou, Wangda Zhang, Kenneth A. Ross
    TODS 2018
  31. Ten Years of Web Tables
    Michael Cafarella, Alon Halevy, Daisy Zhe Wang, Hongrae Lee, Jayant Madhavan, Cong Yu, Eugene Wu,
    PVLDB 2018 Invited Paper,
  32. At a Glance: Approximate Entropy as a Measure of Line Chart Visualization Complexity
    Gabriel Ryan, Abigail Mosca, Remco Chang, Eugene Wu
    InfoVIS 2018
  33. Provenance in Interactive Visualizations
    Fotis Psallidas, Eugene Wu
    HILDA 2018
  34. Leveraging Quality Prediction Models for Automatic Writing Feedback
    Hamed Nilforoshan, Eugene Wu
    ICWSM 2018
  35. Precision Interfaces for Different Modalities
    HaoCi Zhang, Viraj Rai, Thibault Sellam, Eugene Wu
    SIGMOD (demo) 2018
  36. “I Like the Way You Think!” Inspecting the Internal Logic of Recurrent Neural Networks
    Thibault Sellam, Kevin Lin, Ian Yiran Huang, Carl Vondrick, Eugene Wu
    SysML 2018
  37. Smoke: Fine-grained Lineage at Interactive Speeds
    Fotis Psallidas, Eugene Wu
    VLDB 2018
  38. BoostClean: Automated Error Detection and Repair for Machine Learning
    Sanjay Krishnan, Michael J. Franklin, Ken Goldberg, Eugene Wu
    Tech Report 2017
  39. Network Synthesis for Database Processing Units
    Andrea Lottarini, Stephen A. Edwards, Kenneth A. Ross, Martha A. Kim
    DAC 2017
  40. Deadlock-free joins in DB-mesh, an asynchronous systolic array accelerator
    Bingyi Cao, Kenneth A. Ross, Stephen A. Edwards, Martha A. Kim
    DAMON 2017
  41. Combining Design and Performance in a Data Visualization Management System
    Eugene Wu, Fotis Psallidas, Zhengjie Miao, Haoci Zhang,Laura Rettig, Yifan Wu, Thibault Sellam
    CIDR 2017
  42. A DeVIL-ish Approach to Inconsistency in Interactive Visualizations
    Yifan Wu, Joe Hellerstein, Eugene Wu
    Hilda 2016
  43. PFunk-H: Approximate Query Processing using Perceptual Models
    Daniel Alabi, Eugene Wu
    Hilda 2016
  44. Towards Reliable Interactive Data Cleaning: A User Survey and Recommendations
    Sanjay Krishnan, Daniel Haas, Michael J. Franklin, Eugene Wu
    Hilda 2016
  45. ActiveClean: An Interactive Data Cleaning Framework For Modern Machine Learning
    Sanjay Krishnan, Michael Franklin, Ken Goldberg, Jiannan Wang, Eugene Wu
    SIGMOD 2016 Demo
  46. SIMD-accelerated regular expression matching
    E. A. Sitaridi, O. Polychroniou, K. A. Ross
    DAMON 2016
  47. k-Shape: Efficient and Accurate Clustering of Time Series
    J. Paparrizos and L. Gravano
    SIGMOD Record 2016
  48. Detecting Devastating Diseases in Search Logs
    J. Paparrizos, R. W. White, and E. Horvitz
    SIGKDD 2016
  49. Screening for Pancreatic Adenocarcinoma Using Signals From Web Search Logs: Feasibility Study and Results
    J. Paparrizos, R. W. White, and E. Horvitz
    Journal of Oncology Practice
  50. CLAMShell: Speeding up Crowds for Low-latency Data Labeling
    D. Haas, J. Wang, E. Wu, and M J. Franklin
    VLDB 2016
  51. Massively-Parallel Lossless Data Decompression
    Evangelia A. Sitaridi, RenŽ MŸller, Tim Kaldewey, Guy M. Lohman, Kenneth A. Ross
    ICPP 2016
  52. A Course on Programming and Problem Solving
    S. Sheth, C. Murphy, K. A. Ross, D. E. Shasha
    SIGCSE 2016
  53. GPU-accelerated string matching for database applications
    E. Sitaridi and K. A. Ross
    VLDB Journal 2016
  54. Exploiting SSDs in operational multiversion databases
    M. Sadoghi, K. A. Ross, M. Canim, B. Bhattacharjee
    VLDB Journal 2016
  55. Towards Perception-aware Interactive Data Visualization Systems
    E. Wu and A. Nandi
    DSIA 2015
  56. SampleClean: Fast and Reliable Analytics on Dirty Data
    S. Krishnan, J. Wang, M. J. Franklin, K. Goldberg, T. Kraska, T. Milo, and E. Wu
    Overview paper
  57. The Q100 Database Processing Unit
    L. Wu, A. Lottarini, T. K. Paine, M. A. Kim, K. A. Ross
    IEEE MICRO 2015
  58. Efficient Lightweight Compression Alongside Fast Scans
    O. Polychroniou and K. A. Ross
    DAMON 2015
  59. Implementing Latency-Insensitive Dataflow Blocks
    B. Cao, K. A. Ross, M. A. Kim, and S. A. Edwards
    MEMOCODE 2015
  60. Wisteria: Nurturing Scalable Data Cleaning Infrastructure (Demo)
    D. Haas, S. Krishnan, J. Wang, M. J. Franklin, and E. Wu
    VLDB 2015
  61. Collaborative Data Analytics with Datahub (Demo)
    A. Bhardwaj, A. Deshpande, A. Elmore, D. Karger, S. Madden, A. Parameswaran, H. Subramanyam, E. Wu, and R. Zhang
    VLDB 2015
  62. Ranking Deep Web Text Collections for Scalable Information Extraction
    P. Barrio, L. Gravano, and C. Develder
    CIKM 2015
  63. k-Shape: Efficient and Accurate Clustering of Time Series
    J. Paparrizos and L. Gravano
    SIGMOD 2015
  64. Learning to Rank Adaptively for Scalable Information Extraction
    P. Barrio, G. Sim›es, H. Galhardas, and L. Gravano
    EDBT 2015
  65. Rethinking SIMD Vectorization for In-Memory Databases
    O. Polychroniou, A. Raghavan, K. A. Ross
    SIGMOD 2015
  66. The Case for Data Visualization Management Systems
    E. Wu, L. Battle, and S. Madden
    VLDB 2014
  67. Hardware Partitioning for Big Data Analytics
    L. Wu, R. J. Barker, M. A. Kim, K. A. Ross:
    IEEE MICRO 2014
  68. Reducing Database Locking Contention Through Multi-version Concurrency
    M. Sadoghi, M. Canim, B. Bhattacharjee, F. Nagel, K. A. Ross
    PVLDB 2014
  69. Energy Analysis of Hardware and Software Range Partitioning
    L. Wu, O. Polychroniou, R. J. Barker, M. A. Kim, and K. A. Ross
    TOCS 2014
  70. Coherent Somatic Mutation in Autoimmune Disease
    K. A. Ross
    PLoS One 2014
  71. Vectorized Bloom Filters for Advanced SIMD Processors
    O. Polychroniou and K. A. Ross
    DAMON 2014
  72. Q100: The Architecture and Design of a Database Processing Unit
    L. Wu, A. Lottarini, T. K. Paine, M. A. Kim, and K. A. Ross
    ASPLOS 2014
  73. A Comprehensive Study of Main-memory Partitioning and its Application to Large-scale Comparison- and Radix-sort
    O. Polychroniou and K. A. Ross
    SIGMOD 2014
  74. Track Join: Distributed Joins with Minimal Network Traffic
    O. Polychroniou, R. Sen, and K. A. Ross
    SIGMOD 2014
  75. Detecting Foodborne Disease Outbreaks Using Social Media (demonstration)
    F. Psallidas, L. Gravano, and many others
    NYC Media Lab's Annual Summit, 2014
  76. Information Extraction from Social Media for Public Health
    N. Elhadad, L. Gravano, D. Hsu, S. Balter, V. Reddy, and H. Waechter
    KDD at Bloomberg Workshop, Data Frameworks Track (KDD 2014), 2014
  77. REEL: A Relation Extraction Learning Framework (poster)
    P. Barrio, G. Sim›es, H. Galhardas, and L. Gravano
    JCDL 2014
  78. Using Online Reviews by Restaurant Patrons to Identify Unreported Cases of Foodborne Illness Ñ New York City, 2012Ð2013
    C. Harrison, M. Jorder, H. Stern, F. Stavinsky, V. Reddy, H. Hanson, H. Waechter, L. Lowe, L. Gravano, and S. Balter
    Centers for Disease Control and Prevention Morbidity and Mortality Weekly Report 2014