| 2023 | AISTATS | Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout. | Chen Dun, Mirian Hipolito Garcia, Chris Jermaine, Dimitrios Dimitriadis, Anastasios Kyrillidis |
| 2023 | AISTATS | LOFT: Finding Lottery Tickets through Filter-wise Training. | Qihan Wang, Chen Dun, Fangshuo Liao, Chris Jermaine, Anastasios Kyrillidis |
| 2023 | ICCV | Federated Learning Over Images: Vertical Decompositions and Pre-Trained Backbones Are Difficult to Beat. | Erdong Hu, Yuxin Tang, Anastasios Kyrillidis, Chris Jermaine |
| 2023 | ICML | Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning. | Yuxin Tang, Zhimin Ding, Dimitrije Jankov, Binhang Yuan, Daniel Bourgeois, Chris Jermaine |
| 2023 | SIGMOD | Optimizing Tensor Computations: From Applications to Compilation and Runtime Techniques. | Matthias Boehm, Matteo Interlandi, Chris Jermaine |
| 2022 | WACV | Meta-Meta Classification for One-Shot Learning. | Arkabandhu Chowdhury, Dipak Chaudhari, Swarat Chaudhuri, Chris Jermaine |
| 2021 | ICCV | Few-shot Image Classification: Just Use a Library of Pre-trained Feature Extractors and a Simple Classifier. | Arkabandhu Chowdhury, Mingchao Jiang, Swarat Chaudhuri, Chris Jermaine |
| 2021 | SIGMOD | Automatic Optimization of Matrix Implementations for Distributed Machine Learning and Linear Algebra. | Shangyu Luo, Dimitrije Jankov, Binhang Yuan, Chris Jermaine |
| 2021 | SSDBM | The Tensor-Relational Algebra, and Other Ideas in Machine Learning System Design. | Chris Jermaine |
| 2020 | SIGMOD | MONSOON: Multi-Step Optimization and Execution of Queries with Partially Obscured Predicates. | Sourav Sikdar, Chris Jermaine |
| 2018 | ICLR | Neural Sketch Learning for Conditional Program Generation. | Vijayaraghavan Murali, Letao Qi, Swarat Chaudhuri, Chris Jermaine |
| 2018 | ICSE | Program splicing. | Yanxin Lu, Swarat Chaudhuri, Chris Jermaine, David Melski |
| 2018 | SIGMOD | PlinyCompute: A Platform for High-Performance, Distributed, Data-Intensive Tool Development. | Jia Zou, R. Matthew Barnett, Tania Lorido-Botran, Shangyu Luo, Carlos Monroy, Sourav Sikdar, Kia Teymourian, Binhang Yuan, Chris Jermaine |
| 2017 | CLOUD | An experimental comparison of complex object implementations for big data systems. | Sourav Sikdar, Kia Teymourian, Chris Jermaine |
| 2017 | SIGMOD | The BUDS Language for Distributed Bayesian Machine Learning. | Zekai J. Gao, Shangyu Luo, Luis Leopoldo Perez, Chris Jermaine |
| 2013 | SDM | Topic Models For Feature Selection in Document Clustering. | Anna Drummond, Chris Jermaine, Zografoula Vagena |
| 2012 | ICDM | Topic Models over Spoken Language. | Niketan Pansare, Chris Jermaine, Peter J. Haas, Nitendra Rajput |
| 2012 | NDSS | The Latent Community Model for Detecting Sybils in Social Networks. | Zhuhua Cai, Chris Jermaine |
| 2010 | ICDE | Surrogate ranking for very expensive similarity queries. | Fei Xu, Ravi Jampani, Mingxi Wu, Chris Jermaine, Tamer Kahveci |
| 2009 | KDD | A LRT framework for fast spatial anomaly detection. | Mingxi Wu, Xiuyao Song, Chris Jermaine, Sanjay Ranka, John Gums |
| 2008 | KDD | A bayesian mixture model with linear regression mixing proportions. | Xiuyao Song, Chris Jermaine, Sanjay Ranka, John Gums |
| 2008 | SIGMOD | The DBO database system. | Florin Rusu, Fei Xu, Luis Leopoldo Perez, Mingxi Wu, Ravi Jampani, Chris Jermaine, Alin Dobra |
| 2007 | VLDB | A Bayesian Method for Guessing the Extreme Values in a Data Set. | Mingxi Wu, Chris Jermaine |
| 2007 | VLDB | Randomized Algorithms for Data Reconciliation in Wide Area Aggregate Query Processing. | Fei Xu, Chris Jermaine |
| 2006 | ICDE | Closest-Point-of-Approach Join for Moving Object Histories. | Subramanian Arumugam, Chris Jermaine |
| 2006 | ICDE | New Sampling-Based Estimators for OLAP Queries. | Ruoming Jin, Leonid Glimcher, Chris Jermaine, Gagan Agrawal |
| 2006 | ICDE | Materialized Sample Views for Database Approximation. | Shantanu Joshi, Chris Jermaine |
| 2006 | KDD | Outlier detection by sampling with accuracy guarantees. | Mingxi Wu, Chris Jermaine |
| 2005 | SIGMOD | A Disk-Based Join With Probabilistic Guarantees. | Chris Jermaine, Alin Dobra, Subramanian Arumugam, Shantanu Joshi, Abhijit Pol |
| 2005 | SIGMOD | Relational Confidence Bounds Are Easy With The Bootstrap. | Abhijit Pol, Chris Jermaine |
| 2005 | VLDB | Online Estimation For Subset-Based SQL Queries. | Chris Jermaine, Alin Dobra, Abhijit Pol, Shantanu Joshi |
| 2004 | SIGMOD | Online Maintenance of Very Large Random Samples. | Chris Jermaine, Abhijit Pol, Subramanian Arumugam |
| 2003 | KDD | Playing hide-and-seek with correlations. | Chris Jermaine |
| 2003 | VLDB | Robust Estimation With Sampling and Approximate Pre-Aggregation. | Chris Jermaine |
| 2002 | EDBT | Bridging the Gap between Response Time and Energy-Efficiency in Broadcast Schedule Design. | Wai Gen Yee, Shamkant B. Navathe, Edward Omiecinski, Chris Jermaine |
| 2002 | ICDE | Lossy Reduction for Very High Dimensional Data. | Chris Jermaine, Edward Omiecinski |
| 2002 | ICDE | Out From Under the Trees. | Chris Jermaine, Edward Omiecinski, Wai Gen Yee |
| 2001 | ICDM | The Computational Complexity of High-Dimensional Correlation Search. | Chris Jermaine |
| 1999 | VLDB | A Novel Index Supporting High Volume Data Warehouse Insertion. | Chris Jermaine, Anindya Datta, Edward Omiecinski |