Naren Ramakrishnan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
133
Venues
37
Active years
2001–2026
Best venue rank
A*
Where they publish
- A*KDD31 papers
- A*AAAI21 papers
- A*ICDM11 papers
- ASDM11 papers
- ACIKM7 papers
- A*IJCAI6 papers
- A*CCS4 papers
- A*ACL3 papers
- NationalWSC3 papers
- BGLOBECOM2 papers
- ANAACL2 papers
- BECSCW2 papers
- A*WWW2 papers
- BPAKDD2 papers
- ARecSys2 papers
- MulticonferenceICCS2 papers
- MulticonferenceSAC2 papers
- AAsiaCCS1 paper
- AECIR1 paper
- ASIGCSE1 paper
- AESORICS1 paper
- A*ICML1 paper
- A*ICSE1 paper
- UnrankedICTIR1 paper
- BISIT1 paper
- A*CHI1 paper
- CISI1 paper
- A*SP1 paper
- NationalVDA1 paper
- BCOLING1 paper
- BIDA1 paper
- CNPC1 paper
- BAPBC1 paper
- A*EMNLP1 paper
- BGPCE1 paper
- CEGVE1 paper
- CPEPM1 paper
Papers
133 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Optimizing Product Provenance Verification Using Data Valuation Methods. | Raquib Bin Yousuf, Hoang Anh Just, Shengzhe Xu, Brian Mayer, Victor Deklerck, Jakub Truszkowski, John Simeone, Jade Saunders, Chang-Tien Lu, Ruoxi Jia, Naren Ramakrishnan |
| 2026 | ACL | Hindsight: Structured Agent Memory that Retains, Recalls, and Reflects. | Christopher Latimer, Nicol Boschi, Andrew Neeser, Chris Bartholomew, Gaurav Srivastava, Xuan Wang, Naren Ramakrishnan |
| 2026 | AsiaCCS | Noise, Why Can't You Bend? Detecting Adversarial Perturbations in Wireless Sensing via Structural Fragility. | Md Hasan Shahriar, Ning Wang, Amit Kumar Sikder, Naren Ramakrishnan, Y. Thomas Hou, Wenjing Lou |
| 2026 | ECIR | Utilizing Metadata for Better Retrieval-Augmented Generation. | Raquib Bin Yousuf, Shengzhe Xu, Mandar Sharma, Andrew Neeser, Chris Latimer, Naren Ramakrishnan |
| 2026 | SIGCSE | Demystify, Use, Reflect: Preparing students to be informed LLM-users. | Nikitha Donekal Chandrashekar, Sehrish Basir Nizamani, Margaret Ellis, Naren Ramakrishnan |
| 2025 | ACL | CONSENSAGENT: Towards Efficient and Effective Consensus in Multi-Agent LLM Interactions Through Sycophancy Mitigation. | Priya Pitre, Naren Ramakrishnan, Xuan Wang |
| 2025 | ESORICS | Let the Noise Speak: Harnessing Noise for a Unified Defense Against Adversarial and Backdoor Attacks. | Md Hasan Shahriar, Ning Wang, Naren Ramakrishnan, Y. Thomas Hou, Wenjing Lou |
| 2025 | GLOBECOM | World Model-Based Learning for Long-Term Age of Information Minimization in Vehicular Networks. | Lingyi Wang, Rashed Shelim, Walid Saad, Naren Ramakrishnan |
| 2025 | ICML | LLMs Can Reason Faster Only If We Let Them. | Bilgehan Sel, Lifu Huang, Naren Ramakrishnan, Ruoxi Jia, Ming Jin |
| 2025 | ICSE | Can an LLM Find Its Way Around a Spreadsheet? | Cho-Ting Lee, Andrew Neeser, Shengzhe Xu, Jay Katyan, Patrick Cross, Sharanya Pathakota, Marigold Norman, John Simeone, Jaganmohan Chandrasekaran, Naren Ramakrishnan |
| 2025 | ICTIR | Oreo: A Plug-in Context Reconstructor to Enhance Retrieval-Augmented Generation. | Sha Li, Naren Ramakrishnan |
| 2025 | KDD | Chasing the Timber Trail: Machine Learning to Reveal Harvest Location Misrepresentation. | Shailik Sarkar, Raquib Bin Yousuf, Linhan Wang, Brian Mayer, Thomas Mortier, Victor Deklerck, Jakub Truszkowski, John Simeone, Marigold Norman, Jade Saunders, Chang-Tien Lu, Naren Ramakrishnan |
| 2024 | GLOBECOM | Fast Geometric Learning of MIMO Signal Detection over Grassmannian Manifolds. | Rashed Shelim, Walid Saad, Naren Ramakrishnan |
| 2024 | NAACL | Laying Anchors: Semantically Priming Numerals in Language Modeling. | Mandar Sharma, Rutuja Murlidhar Taware, Pravesh Koirala, Nikhil Muralidhar, Naren Ramakrishnan |
| 2023 | AAAI | Exploring Tradeoffs in Automated School Redistricting: Computational and Ethical Perspectives. | Fanglan Chen, Subhodip Biswas, Zhiqian Chen, Shuo Lei, Naren Ramakrishnan, Chang-Tien Lu |
| 2023 | AAAI | EINNs: Epidemiologically-Informed Neural Networks. | Alexander Rodrguez, Jiaming Cui, Naren Ramakrishnan, Bijaya Adhikari, B. Aditya Prakash |
| 2023 | ACL | Learning Non-linguistic Skills without Sacrificing Linguistic Proficiency. | Mandar Sharma, Nikhil Muralidhar, Naren Ramakrishnan |
| 2023 | ECSCW | CSCW & Redrawing Public School Boundaries: An Intersection of Computer Science, Education Policy, and Geography Research. | Andreea Sistrunk, Subhodip Biswas, James Egenrieder, William Glenn, Kurt Luther, Naren Ramakrishnan |
| 2022 | AAAI | Blocking Influence at Collective Level with Hard Constraints (Student Abstract). | Zonghan Zhang, Subhodip Biswas, Fanglan Chen, Kaiqun Fu, Taoran Ji, Chang-Tien Lu, Naren Ramakrishnan, Zhiqian Chen |
| 2022 | ECSCW | Redistricting Practices in Public Schools: Social Progress or Necessity? | Andreea Sistrunk, Subhodip Biswas, Nathan Self, Kurt Luther, Naren Ramakrishnan |
| 2022 | ICDM | Detecting Irregular Network Activity with Adversarial Learning and Expert Feedback. | Gopikrishna Rathinavel, Nikhil Muralidhar, Timothy J. O'Shea, Naren Ramakrishnan |
| 2022 | KDD | Framing Algorithmic Recourse for Anomaly Detection. | Debanjan Datta, Feng Chen, Naren Ramakrishnan |
| 2021 | AAAI | Dynamic Multi-Context Attention Networks for Citation Forecasting of Scientific Publications. | Taoran Ji, Nathan Self, Kaiqun Fu, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu |
| 2021 | AAAI | Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19. | Alexander Rodrguez, Nikhil Muralidhar, Bijaya Adhikari, Anika Tabassum, Naren Ramakrishnan, B. Aditya Prakash |
| 2021 | ICDM | PhyFlow: Physics-Guided Deep Learning for Generating Interpretable 3D Flow Fields. | Nikhil Muralidhar, Jie Bu, Ze Cao, Neil Raj, Naren Ramakrishnan, Danesh K. Tafti, Anuj Karpatne |
| 2021 | ICDM | T | Mandar Sharma, John S. Brownstein, Naren Ramakrishnan |
| 2020 | AAAI | Geospatial Clustering for Balanced and Proximal Schools. | Subhodip Biswas, Fanglan Chen, Andreea Sistrunk, Sathappan Muthiah, Zhiqian Chen, Nathan Self, Chang-Tien Lu, Naren Ramakrishnan |
| 2020 | AAAI | Detecting Suspicious Timber Trades. | Debanjan Datta, Mohammad Raihanul Islam, Nathan Self, Amelia Meadows, John Simeone, Willow Outhwaite, Chen Hin Keong, Amy Smith, Linda Walker, Naren Ramakrishnan |
| 2020 | SDM | PhyNet: Physics Guided Neural Networks for Particle Drag Force Prediction in Assembly. | Nikhil Muralidhar, Jie Bu, Ze Cao, Long He, Naren Ramakrishnan, Danesh K. Tafti, Anuj Karpatne |
| 2020 | SDM | Detecting Media Self-Censorship without Explicit Training Data. | Rongrong Tao, Baojian Zhou, Feng Chen, David Mares, Patrick Butler, Naren Ramakrishnan, Ryan Kennedy |
| 2019 | CIKM | Untitled record | Mohammad Raihanul Islam, Sathappan Muthiah, Naren Ramakrishnan |
| 2019 | IJCAI | Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks. | Taoran Ji, Zhiqian Chen, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan |
| 2019 | IJCAI | DyAt Nets: Dynamic Attention Networks for State Forecasting in Cyber-Physical Systems. | Nikhil Muralidhar, Sathappan Muthiah, Naren Ramakrishnan |
| 2019 | KDD | EpiDeep: Exploiting Embeddings for Epidemic Forecasting. | Bijaya Adhikari, Xinfeng Xu, Naren Ramakrishnan, B. Aditya Prakash |
| 2019 | NAACL | Mitigating Uncertainty in Document Classification. | Xuchao Zhang, Fanglan Chen, Chang-Tien Lu, Naren Ramakrishnan |
| 2019 | WSC | On the Modeling and Agent-Based Simulation of a Cooperative Group Anagram Game. | Zhihao Hu, Dustin Machi, Madhav V. Marathe, S. S. Ravi, Yihui Ren, Vanessa Cedeno-Mieles, Saliya Ekanayake, Xinwei Deng, Brian J. Goode, Naren Ramakrishnan, Parang Saraf, Nathan Self, Abhijin Adiga, Gizem Korkmaz, Chris J. Kuhlman |
| 2019 | WWW | Event Detection using Hierarchical Multi-Aspect Attention. | Sneha Mehta, Mohammad Raihanul Islam, Huzefa Rangwala, Naren Ramakrishnan |
| 2019 | SDM | Deep Transfer Reinforcement Learning for Text Summarization. | Yaser Keneshloo, Naren Ramakrishnan, Chandan K. Reddy |
| 2018 | ICDM | DeepDiffuse: Predicting the 'Who' and 'When' in Cascades. | Mohammad Raihanul Islam, Sathappan Muthiah, Bijaya Adhikari, B. Aditya Prakash, Naren Ramakrishnan |
| 2018 | IJCAI | Social Media based Simulation Models for Understanding Disease Dynamics. | Ting Hua, Chandan K. Reddy, Lei Zhang, Lijing Wang, Liang Zhao, Chang-Tien Lu, Naren Ramakrishnan |
| 2018 | PAKDD | Sub2Vec: Feature Learning for Subgraphs. | Bijaya Adhikari, Yao Zhang, Naren Ramakrishnan, B. Aditya Prakash |
| 2018 | PAKDD | SIGNet: Scalable Embeddings for Signed Networks. | Mohammad Raihanul Islam, B. Aditya Prakash, Naren Ramakrishnan |
| 2018 | WSC | Pipelines and their Compositions for Modeling and Analysis of controlled Online Networked Social Science Experiments. | Vanessa Cedeno-Mieles, Yihui Ren, Saliya Ekanayake, Brian J. Goode, Chris J. Kuhlman, Dustin Machi, Madhav V. Marathe, Henning S. Mortveit, Zhihao Hu, Xinwei Deng, Naren Ramakrishnan, Parang Saraf, Nathan Self, Noshir Contractor, Joshua M. Epstein, Michael W. Macy |
| 2018 | SDM | STAPLE: Spatio-Temporal Precursor Learning for Event Forecasting. | Yue Ning, Rongrong Tao, Chandan K. Reddy, Huzefa Rangwala, James C. Starz, Naren Ramakrishnan |
| 2017 | AAAI | Determining Relative Airport Threats from News and Social Media. | Rupinder Paul Khandpur, Taoran Ji, Yue Ning, Liang Zhao, Chang-Tien Lu, Erik R. Smith, Christopher Adams, Naren Ramakrishnan |
| 2017 | CIKM | Crowdsourcing Cybersecurity: Cyber Attack Detection using Social Media. | Rupinder Paul Khandpur, Taoran Ji, Steve T. K. Jan, Gang Wang, Chang-Tien Lu, Naren Ramakrishnan |
| 2017 | CIKM | Spatiotemporal Event Forecasting from Incomplete Hyper-local Price Data. | Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu, Naren Ramakrishnan |
| 2017 | ICDM | Distributed Representations of Subgraphs. | Bijaya Adhikari, Yao Zhang, Naren Ramakrishnan, B. Aditya Prakash |
| 2017 | KDD | GELL: Automatic Extraction of Epidemiological Line Lists from Open Sources. | Saurav Ghosh, Prithwish Chakraborty, Bryan L. Lewis, Maimuna S. Majumder, Emily Cohn, John S. Brownstein, Madhav V. Marathe, Naren Ramakrishnan |
| 2017 | RecSys | A Gradient-based Adaptive Learning Framework for Efficient Personal Recommendation. | Yue Ning, Yue Shi, Liangjie Hong, Huzefa Rangwala, Naren Ramakrishnan |
| 2017 | SDM | Absenteeism Detection in Social Media. | Fang Jin, Feng Chen, Rupinder Paul Khandpur, Chang-Tien Lu, Naren Ramakrishnan |
| 2017 | SDM | Pruning Decision Trees via Max-Heap Projection. | Zhi Nie, Binbin Lin, Shuai Huang, Naren Ramakrishnan, Wei Fan, Jieping Ye |
| 2016 | AAAI | Topical Analysis of Interactions Between News and Social Media. | Ting Hua, Yue Ning, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan |
| 2016 | AAAI | Inferring Multi-Dimensional Ideal Points for US Supreme Court Justices. | Mohammad Raihanul Islam, K. S. M. Tozammel Hossain, Siddharth Krishnan, Naren Ramakrishnan |
| 2016 | AAAI | Wikipedia in the Tourism Industry: Forecasting Demand and Modeling Usage Behavior. | Pejman Khadivi, Naren Ramakrishnan |
| 2016 | AAAI | Efficient Nonparametric Subgraph Detection Using Tree Shaped Priors. | Nannan Wu, Feng Chen, Jianxin Li, Baojian Zhou, Naren Ramakrishnan |
| 2016 | CCS | Causality-based Sensemaking of Network Traffic for Android Application Security. | Hao Zhang, Danfeng (Daphne) Yao, Naren Ramakrishnan |
| 2016 | CIKM | A Multiple Instance Learning Framework for Identifying Key Sentences and Detecting Events. | Wei Wang, Yue Ning, Huzefa Rangwala, Naren Ramakrishnan |
| 2016 | CIKM | Characterizing Diseases from Unstructured Text: A Vocabulary Driven Word2vec Approach. | Saurav Ghosh, Prithwish Chakraborty, Emily Cohn, John S. Brownstein, Naren Ramakrishnan |
| 2016 | CIKM | Automatical Storyline Generation with Help from Twitter. | Ting Hua, Xuchao Zhang, Wei Wang, Chang-Tien Lu, Naren Ramakrishnan |
| 2016 | ICDM | Multi-resolution Spatial Event Forecasting in Social Media. | Liang Zhao, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan |
| 2016 | KDD | EMBERS at 4 years: Experiences operating an Open Source Indicators Forecasting System. | Sathappan Muthiah, Patrick Butler, Rupinder Paul Khandpur, Parang Saraf, Nathan Self, Alla Rozovskaya, Liang Zhao, Jose Cadena, Chang-Tien Lu, Anil Vullikanti, Achla Marathe, Kristen Maria Summers, Graham Katz, Andy Doyle, Jaime Arredondo, Dipak K. Gupta, David Mares, Naren Ramakrishnan |
| 2016 | KDD | Modeling Precursors for Event Forecasting via Nested Multi-Instance Learning. | Yue Ning, Sathappan Muthiah, Huzefa Rangwala, Naren Ramakrishnan |
| 2016 | KDD | Leveraging Propagation for Data Mining: Models, Algorithms and Applications. | B. Aditya Prakash, Naren Ramakrishnan |
| 2016 | KDD | EMBERS AutoGSR: Automated Coding of Civil Unrest Events. | Parang Saraf, Naren Ramakrishnan |
| 2016 | KDD | Hierarchical Incomplete Multi-source Feature Learning for Spatiotemporal Event Forecasting. | Liang Zhao, Jieping Ye, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan |
| 2016 | SDM | Predicting the Popularity of News Articles. | Yaser Keneshloo, Shuguang Wang, Eui-Hong Sam Han, Naren Ramakrishnan |
| 2015 | AAAI | Planned Protest Modeling in News and Social Media. | Sathappan Muthiah, Bert Huang, Jaime Arredondo, David Mares, Lise Getoor, Graham Katz, Naren Ramakrishnan |
| 2015 | CCS | Unearthing Stealthy Program Attacks Buried in Extremely Long Execution Paths. | Xiaokui Shu, Danfeng Yao, Naren Ramakrishnan |
| 2015 | ICDM | SimNest: Social Media Nested Epidemic Simulation via Online Semi-Supervised Deep Learning. | Liang Zhao, Jiangzhuo Chen, Feng Chen, Wei Wang, Chang-Tien Lu, Naren Ramakrishnan |
| 2015 | ISIT | Online denoising of discrete noisy data. | Pejman Khadivi, Ravi Tandon, Naren Ramakrishnan |
| 2015 | KDD | Analyzing Invariants in Cyber-Physical Systems using Latent Factor Regression. | Marjan Momtazpour, Jinghe Zhang, Saifur Rahman, Ratnesh K. Sharma, Naren Ramakrishnan |
| 2015 | KDD | Dynamic Poisson Autoregression for Influenza-Like-Illness Case Count Prediction. | Zheng Wang, Prithwish Chakraborty, Sumiko R. Mekaru, John S. Brownstein, Jieping Ye, Naren Ramakrishnan |
| 2015 | KDD | Multi-Task Learning for Spatio-Temporal Event Forecasting. | Liang Zhao, Qian Sun, Jieping Ye, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan |
| 2015 | SDM | SourceSeer: Forecasting Rare Disease Outbreaks Using Multiple Data Sources. | Theodoros Rekatsinas, Saurav Ghosh, Sumiko R. Mekaru, Elaine O. Nsoesie, John S. Brownstein, Lise Getoor, Naren Ramakrishnan |
| 2015 | SDM | Spatiotemporal Event Forecasting in Social Media. | Liang Zhao, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan |
| 2014 | CCS | Detection of stealthy malware activities with traffic causality and scalable triggering relation discovery. | Hao Zhang, Danfeng (Daphne) Yao, Naren Ramakrishnan |
| 2014 | CHI | The role of interactive biclusters in sensemaking. | Maoyuan Sun, Lauren Bradel, Christopher L. North, Naren Ramakrishnan |
| 2014 | ICDM | Flu Gone Viral: Syndromic Surveillance of Flu on Twitter Using Temporal Topic Models. | Liangzhe Chen, K. S. M. Tozammel Hossain, Patrick Butler, Naren Ramakrishnan, B. Aditya Prakash |
| 2014 | KDD | Modeling mass protest adoption in social network communities using geometric brownian motion. | Fang Jin, Rupinder Paul Khandpur, Nathan Self, Edward R. Dougherty, Sheng Guo, Feng Chen, B. Aditya Prakash, Naren Ramakrishnan |
| 2014 | KDD | 'Beating the news' with EMBERS: forecasting civil unrest using open source indicators. | Naren Ramakrishnan, Patrick Butler, Sathappan Muthiah, Nathan Self, Rupinder Paul Khandpur, Parang Saraf, Wei Wang, Jose Cadena, Anil Vullikanti, Gizem Korkmaz, Chris J. Kuhlman, Achla Marathe, Liang Zhao, Ting Hua, Feng Chen, Chang-Tien Lu, Bert Huang, Aravind Srinivasan, Khoa Trinh, Lise Getoor, Graham Katz, Andy Doyle, Chris Ackermann, Ilya Zavorin, Jim Ford, Kristen Maria Summers, Youssef Fayed, Jaime Arredondo, Dipak Gupta, David Mares |
| 2014 | SDM | Forecasting a Moving Target: Ensemble Models for ILI Case Count Predictions. | Prithwish Chakraborty, Pejman Khadivi, Bryan L. Lewis, Aravindan Mahendiran, Jiangzhuo Chen, Patrick Butler, Elaine O. Nsoesie, Sumiko R. Mekaru, John S. Brownstein, Madhav V. Marathe, Naren Ramakrishnan |
| 2013 | AAAI | A Temporal Motif Mining Approach to Unsupervised Energy Disaggregation: Applications to Residential and Commercial Buildings. | Huijuan Shao, Manish Marwah, Naren Ramakrishnan |
| 2013 | AAAI | Clustering with Complex Constraints - Algorithms and Applications. | Weifeng Zhi, Xiang Wang, Buyue Qian, Patrick Butler, Naren Ramakrishnan, Ian Davidson |
| 2013 | CCS | A semantic-aware approach to reasoning about network traffic relations. | Hao Zhang, Danfeng (Daphne) Yao, Naren Ramakrishnan |
| 2013 | ICDM | Regularization Paths for Sparse Nonnegative Least Squares Problems with Applications to Life Cycle Assessment Tree Discovery. | Jingu Kim, Naren Ramakrishnan, Manish Marwah, Amip Shah, Haesun Park |
| 2013 | ISI | How analysts cognitively "connect the dots". | Lauren Bradel, Jessica Zeitz Self, Alex Endert, Mahmud Shahriar Hossain, Chris North, Naren Ramakrishnan |
| 2013 | KDD | STED: semi-supervised targeted-interest event detectionin in twitter. | Ting Hua, Feng Chen, Liang Zhao, Chang-Tien Lu, Naren Ramakrishnan |
| 2013 | KDD | Epidemiological modeling of news and rumors on Twitter. | Fang Jin, Edward R. Dougherty, Parang Saraf, Yang Cao, Naren Ramakrishnan |
| 2013 | KDD | Forex-foreteller: currency trend modeling using news articles. | Fang Jin, Nathan Self, Parang Saraf, Patrick Butler, Wei Wang, Naren Ramakrishnan |
| 2012 | AAAI | Fine-Grained Photovoltaic Output Prediction Using a Bayesian Ensemble. | Prithwish Chakraborty, Manish Marwah, Martin F. Arlitt, Naren Ramakrishnan |
| 2012 | ICDM | Efficient Episode Mining of Dynamic Event Streams. | Debprakash Patnaik, Srivatsan Laxman, Badrish Chandramouli, Naren Ramakrishnan |
| 2012 | KDD | Storytelling in entity networks to support intelligence analysts. | Mahmud Shahriar Hossain, Patrick Butler, Arnold P. Boedihardjo, Naren Ramakrishnan |
| 2012 | KDD | Coordinated clustering algorithms to support charging infrastructure design for electric vehicles. | Marjan Momtazpour, Patrick Butler, Mahmud Shahriar Hossain, Mohammad Chehreghani Bozchalui, Naren Ramakrishnan, Ratnesh Sharma |
| 2012 | SP | User Intention-Based Traffic Dependence Analysis for Anomaly Detection. | Hao Zhang, William Banick, Danfeng Yao, Naren Ramakrishnan |
| 2011 | AAAI | Helping Intelligence Analysts Make Connections. | Mahmud Shahriar Hossain, Christopher Andrews, Naren Ramakrishnan, Chris North |
| 2011 | AAAI | Discovering Life Cycle Assessment Trees from Impact Factor Databases. | Naren Sundaravaradan, Debprakash Patnaik, Naren Ramakrishnan, Manish Marwah, Amip Shah |
| 2011 | KDD | Using physicochemical properties of amino acids to induce graphical models of residue couplings. | K. S. M. Tozammel Hossain, Chris Bailey-Kellogg, Alan M. Friedman, Michael J. Bradley, Nathan A. Baker, Naren Ramakrishnan |
| 2011 | KDD | Experiences with mining temporal event sequences from electronic medical records: initial successes and some challenges. | Debprakash Patnaik, Patrick Butler, Naren Ramakrishnan, Laxmi Parida, Benjamin J. Keller, David A. Hanauer |
| 2011 | VDA | Visualizing frequent patterns in large multivariate time series. | Ming C. Hao, Manish Marwah, Halldr Janetzko, Ratnesh Sharma, Daniel A. Keim, Umeshwar Dayal, Debprakash Patnaik, Naren Ramakrishnan |
| 2010 | COLING | Finding the Storyteller: Automatic Spoiler Tagging using Linguistic Cues. | Sheng Guo, Naren Ramakrishnan |
| 2010 | IDA | Data Mining for Modeling Chiller Systems in Data Centers. | Debprakash Patnaik, Manish Marwah, Ratnesh K. Sharma, Naren Ramakrishnan |
| 2010 | KDD | Unifying dependent clustering and disparate clustering for non-homogeneous data. | Mahmud Shahriar Hossain, Satish Tadepalli, Layne T. Watson, Ian Davidson, Richard F. Helm, Naren Ramakrishnan |
| 2010 | KDD | Diagnosing memory leaks using graph mining on heap dumps. | Evan K. Maxwell, Godmar Back, Naren Ramakrishnan |
| 2010 | KDD | Extracting temporal signatures for comprehending systems biology models. | Naren Sundaravaradan, K. S. M. Tozammel Hossain, Vandana Sreedharan, Douglas J. Slotta, John Paul C. Vergara, Lenwood S. Heath, Naren Ramakrishnan |
| 2009 | CIKM | Mining linguistic cues for query expansion: applications to drug interaction search. | Sheng Guo, Naren Ramakrishnan |
| 2009 | ICCS | Modular, Fine-Grained Adaptation of Parallel Programs. | Pilsung Kang, Naresh K. C. Selvarasu, Naren Ramakrishnan, Calvin J. Ribbens, Danesh K. Tafti, Srinidhi Varadarajan |
| 2009 | ICDM | Discovering Excitatory Networks from Discrete Event Streams with Applications to Neuronal Spike Train Analysis. | Debprakash Patnaik, Srivatsan Laxman, Naren Ramakrishnan |
| 2009 | KDD | Sustainable operation and management of data center chillers using temporal data mining. | Debprakash Patnaik, Manish Marwah, Ratnesh K. Sharma, Naren Ramakrishnan |
| 2009 | NPC | Accelerator-Oriented Algorithm Transformation for Temporal Data Mining. | Debprakash Patnaik, Sean P. Ponce, Yong Cao, Naren Ramakrishnan |
| 2009 | RecSys | Recommender systems for the conference paper assignment problem. | Don Conry, Yehuda Koren, Naren Ramakrishnan |
| 2009 | SAC | Modular implementation of adaptive decisions in stochastic simulations. | Pilsung Kang, Yang Cao, Naren Ramakrishnan, Calvin J. Ribbens, Srinidhi Varadarajan |
| 2009 | SAC | Capturing truthiness: mining truth tables in binary datasets. | Clifford Conley Owens III, T. M. Murali, Naren Ramakrishnan |
| 2008 | APBC | Simultaneously Segmenting Multiple Gene Expression Time Courses by Analyzing Cluster Dynamics. | Satish Tadepalli, Naren Ramakrishnan, Layne T. Watson, Bhubaneswar Mishra, Richard F. Helm |
| 2008 | EMNLP | Seeded Discovery of Base Relations in Large Corpora. | Nicholas Andrews, Naren Ramakrishnan |
| 2008 | KDD | Reconstructing chemical reaction networks: data mining meets system identification. | Yong Ju Cho, Naren Ramakrishnan, Yang Cao |
| 2006 | ICCS | Scalable Execution of Legacy Scientific Codes. | Joy Mukherjee, Srinidhi Varadarajan, Naren Ramakrishnan |
| 2006 | KDD | Algorithms for storytelling. | Deept Kumar, Naren Ramakrishnan, Richard F. Helm, Malcolm Potts |
| 2006 | KDD | BLOSOM: a framework for mining arbitrary boolean expressions. | Lizhuang Zhao, Mohammed J. Zaki, Naren Ramakrishnan |
| 2005 | AAAI | Redescription Mining: Structure Theory and Algorithms. | Laxmi Parida, Naren Ramakrishnan |
| 2005 | GPCE | A Generative Programming Approach to Interactive Information Retrieval: Insights and Experiences. | Saverio Perugini, Naren Ramakrishnan |
| 2005 | KDD | Graphical models of residue coupling in protein families. | John Thomas, Naren Ramakrishnan, Chris Bailey-Kellogg |
| 2005 | KDD | Reasoning about sets using redescription mining. | Mohammed Javeed Zaki, Naren Ramakrishnan |
| 2005 | SDM | Gaussian Processes for Active Data Mining of Spatial Aggregates. | Naren Ramakrishnan, Chris Bailey-Kellogg, Satish Tadepalli, Varun Pandey |
| 2004 | AAAI | Spatial Aggregation for Qualitative Assessment of Scientific Computations. | Chris Bailey-Kellogg, Naren Ramakrishnan |
| 2004 | KDD | Turning CARTwheels: an alternating algorithm for mining redescriptions. | Naren Ramakrishnan, Deept Kumar, Bud Mishra, Malcolm Potts, Richard F. Helm |
| 2004 | WWW | Staging transformations for multimodal web interaction management. | Michael Narayan, Christopher Williams, Saverio Perugini, Naren Ramakrishnan |
| 2003 | IJCAI | The Traits of the Personable. | Naren Ramakrishnan |
| 2003 | IJCAI | Gaussian Process Models of Spatial Aggregation Algorithms. | Naren Ramakrishnan, Christopher Bailey-Kellogg |
| 2003 | WSC | Next generation modeling II - applications: improving the development process for eukaryotic cell cycle models with a modeling support environment. | Nicholas A. Allen, Clifford A. Shaffer, Marc Vass, Naren Ramakrishnan, Layne T. Watson |
| 2002 | EGVE | Towards Preferences in Virtual Environment Interfaces. | Chadwick A. Wingrave, Doug A. Bowman, Naren Ramakrishnan |
| 2002 | PEPM | Mixed-initiative interaction = mixed computation. | Naren Ramakrishnan, Robert Capra, Manuel A. Prez-Quiones |
| 2001 | IJCAI | Ambiguity-Directed Sampling for Qualitative Analysis of Sparse Data from Spatially-Distributed Physical Systems. | Christopher Bailey-Kellogg, Naren Ramakrishnan |