Naren Ramakrishnan

ORCID

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 167

Top Venues

Publications

Shengzhe Xu, Christo Kurisummoottil Thomas, Omar Hashash, Nikhil Muralidhar, Walid Saad, Naren Ramakrishnan
Large Multi-Modal Models (LMMs) as Universal Foundation Models for AI-Native Wireless Systems. CoRR (2024)
Taoran Ji, Nathan Self, Kaiqun Fu, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu
Citation Forecasting with Multi-Context Attention-Aided Dependency Modeling. ACM Trans. Knowl. Discov. Data 18 (6) (2024)
Mandar Sharma, Rutuja Murlidhar Taware, Pravesh Koirala, Nikhil Muralidhar, Naren Ramakrishnan
Laying Anchors: Semantically Priming Numerals in Language Modeling. CoRR (2024)
Andreea Sistrunk, Nathan Self, Subhodip Biswas, Kurt Luther, Nervo Verdezoto, Naren Ramakrishnan
Redistrict: Online Public Deliberation Support that Connects and Rebuilds Inclusive Communities. Proc. ACM Hum. Comput. Interact. 8 (CSCW1) (2024)
Shengzhe Xu, Cho-Ting Lee, Mandar Sharma, Raquib Bin Yousuf, Nikhil Muralidhar, Naren Ramakrishnan
Are LLMs Naturally Good at Synthetic Tabular Data Generation? CoRR (2024)
Rashed Shelim, Walid Saad, Naren Ramakrishnan
Fast Geometric Learning of MIMO Signal Detection over Grassmannian Manifolds. CoRR (2024)
Mandar Sharma, Nikhil Muralidhar, Shengzhe Xu, Raquib Bin Yousuf, Naren Ramakrishnan
Information Guided Regularization for Fine-tuning Language Models. CoRR (2024)
Mandar Sharma, Nikhil Muralidhar, Naren Ramakrishnan
Learning Non-linguistic Skills without Sacrificing Linguistic Proficiency. CoRR (2023)
Debanjan Datta, Nathan Self, John Simeone, Amelia Meadows, Willow Outhwaite, Linda Walker, Niklas Elmqvist, Naren Ramakrishnan
TimberSleuth: Visual anomaly detection with human feedback for mitigating the illegal timber trade. Inf. Vis. 22 (3) (2023)
Mandar Sharma, Nikhil Muralidhar, Naren Ramakrishnan
Learning Non-linguistic Skills without Sacrificing Linguistic Proficiency. ACL (1) (2023)
Andreea Sistrunk, Subhodip Biswas, James Egenrieder, William Glenn, Kurt Luther, Naren Ramakrishnan
CSCW & Redrawing Public School Boundaries: An Intersection of Computer Science, Education Policy, and Geography Research. ECSCW (2023)
Abhinav Prasad, Prakash Arunachalam, Ali Motamedi, Ranjeeta Bhattacharya, Beibei Liu, Hays Mccormick, Shengzhe Xu, Nikhil Muralidhar, Naren Ramakrishnan
ML-Assisted Optimization of Securities Lending. ICAIF (2023)
Vandana Sreedharan, Upinder S. Bhalla, Naren Ramakrishnan
Using sensitivity analyses to understand bistable system behavior. BMC Bioinform. 24 (1) (2023)
Fanglan Chen, Subhodip Biswas, Zhiqian Chen, Shuo Lei, Naren Ramakrishnan, Chang-Tien Lu
Exploring Tradeoffs in Automated School Redistricting: Computational and Ethical Perspectives. AAAI (2023)
Alexander Rodríguez, Jiaming Cui, Naren Ramakrishnan, Bijaya Adhikari, B. Aditya Prakash
EINNs: Epidemiologically-Informed Neural Networks. AAAI (2023)
Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Chang-Tien Lu, Naren Ramakrishnan
Memetic Algorithms for Spatial Partitioning Problems. ACM Trans. Spatial Algorithms Syst. 9 (1) (2023)
Andreea Sistrunk, Nathan Self, Subhodip Biswas, Kurt Luther, Nervo Verdezoto, Naren Ramakrishnan
Redistrict: Designing a Self-Serve Interactive Boundary Optimization System. Conference on Designing Interactive Systems (Companion Volume) (2023)
Alexander Rodríguez, Jiaming Cui, Naren Ramakrishnan, Bijaya Adhikari, B. Aditya Prakash
EINNs: Epidemiologically-Informed Neural Networks. CoRR (2022)
Mandar Sharma, Ajay Gogineni, Naren Ramakrishnan
Innovations in Neural Data-to-text Generation. CoRR (2022)
Gopikrishna Rathinavel, Nikhil Muralidhar, Timothy O'Shea, Naren Ramakrishnan
Detecting Irregular Network Activity with Adversarial Learning and Expert Feedback. ICDM (2022)
Raquib Bin Yousuf, Subhodip Biswas, Kulendra Kumar Kaushal, James Dunham, Rebecca Gelles, Sathappan Muthiah, Nathan Self, Patrick Butler, Naren Ramakrishnan
Lessons from Deep Learning applied to Scholarly Information Extraction: What Works, What Doesn't, and Future Directions. CoRR (2022)
Sneha Mehta, Huzefa Rangwala, Naren Ramakrishnan
Improving Zero-Shot Event Extraction via Sentence Simplification. CoRR (2022)
Andreea Sistrunk, Subhodip Biswas, Nathan Self, Kurt Luther, Naren Ramakrishnan
Redistricting Practices in Public Schools: Social Progress or Necessity? ECSCW (2022)
Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Chang-Tien Lu, Naren Ramakrishnan
Memetic algorithms for Spatial Partitioning problems. CoRR (2022)
Mandar Sharma, Nikhil Muralidhar, Naren Ramakrishnan
Overcoming Barriers to Skill Injection in Language Modeling: Case Study in Arithmetic. CoRR (2022)
Debanjan Datta, Sathappan Muthiah, John Simeone, Amelia Meadows, Naren Ramakrishnan
Scrutinizing Shipment Records To Thwart Illegal Timber Trade. CoRR (2022)
Debanjan Datta, Feng Chen, Naren Ramakrishnan
Framing Algorithmic Recourse for Anomaly Detection. CoRR (2022)
Nikhil Muralidhar, Abdullah Zubair, Nathanael R. Weidler, Ryan M. Gerdes, Naren Ramakrishnan
Contrastive Graph Convolutional Networks for Hardware Trojan Detection in Third Party IP Cores. CoRR (2022)
Liang Zhao, Yuyang Gao, Jieping Ye, Feng Chen, Yanfang Ye, Chang-Tien Lu, Naren Ramakrishnan
Spatio-Temporal Event Forecasting Using Incremental Multi-Source Feature Learning. ACM Trans. Knowl. Discov. Data 16 (2) (2022)
Sneha Mehta, Huzefa Rangwala, Naren Ramakrishnan
Improving Zero-Shot Event Extraction via Sentence Simplification. CASE@EMNLP (2022)
Zonghan Zhang, Subhodip Biswas, Fanglan Chen, Kaiqun Fu, Taoran Ji, Chang-Tien Lu, Naren Ramakrishnan, Zhiqian Chen
Blocking Influence at Collective Level with Hard Constraints (Student Abstract). AAAI (2022)
Gopikrishna Rathinavel, Nikhil Muralidhar, Naren Ramakrishnan, Timothy O'Shea
Efficient Generative Wireless Anomaly Detection for Next Generation Networks. MILCOM (2022)
K. S. M. Tozammel Hossain, Hrayr Harutyunyan, Yue Ning, Brendan Kennedy, Naren Ramakrishnan, Aram Galstyan
Identifying geopolitical event precursors using attention-based LSTMs. Frontiers Artif. Intell. 5 (2022)
Gopikrishna Rathinavel, Nikhil Muralidhar, Timothy O'Shea, Naren Ramakrishnan
Detecting Irregular Network Activity with Adversarial Learning and Expert Feedback. CoRR (2022)
Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Chang-Tien Lu, Naren Ramakrishnan
Sampling-based techniques for designing school boundaries. CoRR (2022)
Debanjan Datta, Feng Chen, Naren Ramakrishnan
Framing Algorithmic Recourse for Anomaly Detection. KDD (2022)
Padmaksha Roy, Shailik Sarkar, Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu
Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information. ASONAM (2021)
Padmaksha Roy, Shailik Sarkar, Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu
Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information. CoRR (2021)
Arjun Choudhry, Mandar Sharma, Pramod Chundury, Thomas Kapler, Derek W. S. Gray, Naren Ramakrishnan, Niklas Elmqvist
Once Upon A Time In Visualization: Understanding the Use of Textual Narratives for Causality. IEEE Trans. Vis. Comput. Graph. 27 (2) (2021)
Bing He, Caleb Ziems, Sandeep Soni, Naren Ramakrishnan, Diyi Yang, Srijan Kumar
Racism is a virus: anti-asian hate and counterspeech in social media during the COVID-19 crisis. ASONAM (2021)
Mandar Sharma, John S. Brownstein, Naren Ramakrishnan
TCube: Domain-Agnostic Neural Time-series Narration. CoRR (2021)
Nikhil Muralidhar, Abdullah Zubair, Nathanael R. Weidler, Ryan M. Gerdes, Naren Ramakrishnan
Contrastive Graph Convolutional Networks for Hardware Trojan Detection in Third Party IP Cores. HOST (2021)
Nikhil Muralidhar, Jie Bu, Ze Cao, Neil Raj, Naren Ramakrishnan, Danesh K. Tafti, Anuj Karpatne
PhyFlow: Physics-Guided Deep Learning for Generating Interpretable 3D Flow Fields. ICDM (2021)
Alexander Rodríguez, Bijaya Adhikari, Naren Ramakrishnan, B. Aditya Prakash
Incorporating Expert Guidance in Epidemic Forecasting. CoRR (2021)
Mandar Sharma, John S. Brownstein, Naren Ramakrishnan
: Domain-Agnostic Neural Time-series Narration. ICDM (2021)
Alexander Rodríguez, Nikhil Muralidhar, Bijaya Adhikari, Anika Tabassum, Naren Ramakrishnan, B. Aditya Prakash
Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19. AAAI (2021)
Gubbi Vani HarshaRani, S. Moza, Naren Ramakrishnan, Upinder S. Bhalla
SWITCHES: Searchable Web Interface for Topologies of CHEmical Switches. Bioinform. 37 (16) (2021)
Tian Shi, Yaser Keneshloo, Naren Ramakrishnan, Chandan K. Reddy
Neural Abstractive Text Summarization with Sequence-to-Sequence Models. Trans. Data Sci. 2 (1) (2021)
Debanjan Datta, Sathappan Muthiah, Naren Ramakrishnan
Detecting Anomalies Through Contrast in Heterogeneous Data. CoRR (2021)
Nikhil Muralidhar, Sathappan Muthiah, Patrick Butler, Manish Jain, Yu Yu, Katy Burne, Weipeng Li, David Jones, Prakash Arunachalam, Hays 'Skip' McCormick, Naren Ramakrishnan
Using AntiPatterns to avoid MLOps Mistakes. CoRR (2021)
Taoran Ji, Nathan Self, Kaiqun Fu, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu
Dynamic Multi-Context Attention Networks for Citation Forecasting of Scientific Publications. AAAI (2021)
Nikhil Muralidhar, Jie Bu, Ze Cao, Long He, Naren Ramakrishnan, Danesh K. Tafti, Anuj Karpatne
Physics-Guided Deep Learning for Drag Force Prediction in Dense Fluid-Particulate Systems. Big Data 8 (5) (2020)
Vanessa Cedeno-Mieles, Zhihao Hu, Yihui Ren, Xinwei Deng, Abhijin Adiga, Christopher L. Barrett, Noshir Contractor, Saliya Ekanayake, Joshua M. Epstein, Brian J. Goode, Gizem Korkmaz, Chris J. Kuhlman, Dustin Machi, Michael W. Macy, Madhav V. Marathe, Naren Ramakrishnan, S. S. Ravi, Parang Saraf, Nathan Self
Networked experiments and modeling for producing collective identity in a group of human subjects using an iterative abduction framework. Soc. Netw. Anal. Min. 10 (1) (2020)
Liang Zhao, Jiangzhuo Chen, Feng Chen, Fang Jin, Wei Wang, Chang-Tien Lu, Naren Ramakrishnan
Online flu epidemiological deep modeling on disease contact network. GeoInformatica 24 (2) (2020)
Yaser Keneshloo, Tian Shi, Naren Ramakrishnan, Chandan K. Reddy
Deep Reinforcement Learning for Sequence-to-Sequence Models. IEEE Trans. Neural Networks Learn. Syst. 31 (7) (2020)
Subhodip Biswas, Fanglan Chen, Andreea Sistrunk, Sathappan Muthiah, Zhiqian Chen, Nathan Self, Chang-Tien Lu, Naren Ramakrishnan
Geospatial Clustering for Balanced and Proximal Schools. AAAI (2020)
Debanjan Datta, Mohammad Raihanul Islam, Nathan Self, Amelia Meadows, John Simeone, Willow Outhwaite, Chen Hin Keong, Amy Smith, Linda Walker, Naren Ramakrishnan
Detecting Suspicious Timber Trades. AAAI (2020)
Arjun Choudhry, Mandar Sharma, Pramod Chundury, Thomas Kapler, Derek W. S. Gray, Naren Ramakrishnan, Niklas Elmqvist
Once Upon A Time In Visualization: Understanding the Use of Textual Narratives for Causality. CoRR (2020)
Rongrong Tao, Baojian Zhou, Feng Chen, David Mares, Patrick Butler, Naren Ramakrishnan, Ryan Kennedy
Detecting Media Self-Censorship without Explicit Training Data. SDM (2020)
Nikhil Muralidhar, Anika Tabassum, Liangzhe Chen, Supriya Chinthavali, Naren Ramakrishnan, B. Aditya Prakash
Cut-n-Reveal: Time Series Segmentations with Explanations. ACM Trans. Intell. Syst. Technol. 11 (5) (2020)
Subhodip Biswas, Adam D. Cobb, Andreea Sistrunk, Naren Ramakrishnan, Brian Jalaian
Better call Surrogates: A hybrid Evolutionary Algorithm for Hyperparameter optimization. CoRR (2020)
Shengzhe Xu, Manish Marwah, Naren Ramakrishnan
STAN: Synthetic Network Traffic Generation using Autoregressive Neural Models. CoRR (2020)
Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Chang-Tien Lu, Naren Ramakrishnan
Incorporating domain knowledge into Memetic Algorithms for solving Spatial Optimization problems. SIGSPATIAL/GIS (2020)
Fanglan Chen, Zhiqian Chen, Subhodip Biswas, Shuo Lei, Naren Ramakrishnan, Chang-Tien Lu
Graph Convolutional Networks with Kalman Filtering for Traffic Prediction. SIGSPATIAL/GIS (2020)
Nikhil Muralidhar, Jie Bu, Ze Cao, Long He, Naren Ramakrishnan, Danesh K. Tafti, Anuj Karpatne
PhyNet: Physics Guided Neural Networks for Particle Drag Force Prediction in Assembly. SDM (2020)
Alexander Rodríguez, Nikhil Muralidhar, Bijaya Adhikari, Anika Tabassum, Naren Ramakrishnan, B. Aditya Prakash
Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19. CoRR (2020)
Sneha Mehta, Mohammad Raihanul Islam, Huzefa Rangwala, Naren Ramakrishnan
Event Detection using Hierarchical Multi-Aspect Attention. WWW (2019)
Bijaya Adhikari, Xinfeng Xu, Naren Ramakrishnan, B. Aditya Prakash
EpiDeep: Exploiting Embeddings for Epidemic Forecasting. KDD (2019)
Maoyuan Sun, Jian Zhao, Hao Wu, Kurt Luther, Chris North, Naren Ramakrishnan
The Effect of Edge Bundling and Seriation on Sensemaking of Biclusters in Bipartite Graphs. IEEE Trans. Vis. Comput. Graph. 25 (10) (2019)
Nikhil Muralidhar, Sathappan Muthiah, Naren Ramakrishnan
DyAt Nets: Dynamic Attention Networks for State Forecasting in Cyber-Physical Systems. IJCAI (2019)
Maoyuan Sun, David Koop, Jian Zhao, Chris North, Naren Ramakrishnan
Interactive Bicluster Aggregation in Bipartite Graphs. IEEE VIS (Short Papers) (2019)
Nikhil Muralidhar, Sathappan Muthiah, Kiyoshi Nakayama, Ratnesh Sharma, Naren Ramakrishnan
Multivariate Long-Term State Forecasting in Cyber-Physical Systems: A Sequence to Sequence Approach. IEEE BigData (2019)
Xuchao Zhang, Fanglan Chen, Chang-Tien Lu, Naren Ramakrishnan
Mitigating Uncertainty in Document Classification. CoRR (2019)
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
On the Modeling and Agent-Based Simulation of a Cooperative Group Anagram Game. WSC (2019)
Taoran Ji, Zhiqian Chen, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan
Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks. IJCAI (2019)
Taoran Ji, Xuchao Zhang, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan
Feature driven learning framework for cybersecurity event detection. ASONAM (2019)
Yaser Keneshloo, Naren Ramakrishnan, Chandan K. Reddy
Deep Transfer Reinforcement Learning for Text Summarization. SDM (2019)
Nannan Wu, Feng Chen, Jianxin Li, Jinpeng Huai, Baojian Zhou, Bo Li, Naren Ramakrishnan
A Nonparametric Approach to Uncovering Connected Anomalies by Tree Shaped Priors. IEEE Trans. Knowl. Data Eng. 31 (10) (2019)
Mohammad Raihanul Islam, Sathappan Muthiah, Naren Ramakrishnan
RumorSleuth: joint detection of rumor veracity and user stance. ASONAM (2019)
Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Andreea Sistrunk, Nathan Self, Chang-Tien Lu, Naren Ramakrishnan
REGAL: A Regionalization framework for school boundaries. SIGSPATIAL/GIS (2019)
Nikhil Muralidhar, Jie Bu, Ze Cao, Long He, Naren Ramakrishnan, Danesh K. Tafti, Anuj Karpatne
Physics-guided Design and Learning of Neural Networks for Predicting Drag Force on Particle Suspensions in Moving Fluids. CoRR (2019)
Xuchao Zhang, Fanglan Chen, Chang-Tien Lu, Naren Ramakrishnan
Mitigating Uncertainty in Document Classification. NAACL-HLT (1) (2019)
Sneha Mehta, Huzefa Rangwala, Naren Ramakrishnan
Low Rank Factorization for Compact Multi-Head Self-Attention. CoRR (2019)
Mohammad Raihanul Islam, Sathappan Muthiah, Naren Ramakrishnan
: Predicting User Actions in Social Network using Graph Augmented Neural Network. CIKM (2019)
Vanessa Cedeno-Mieles, Zhihao Hu, Xinwei Deng, Yihui Ren, Abhijin Adiga, Christopher L. Barrett, Saliya Ekanayake, Gizem Korkmaz, Chris J. Kuhlman, Dustin Machi, Madhav V. Marathe, S. S. Ravi, Brian J. Goode, Naren Ramakrishnan, Parang Saraf, Nathan Self, Noshir Contractor, Joshua M. Epstein, Michael W. Macy
Mechanistic and data-driven agent-based models to explain human behavior in online networked group anagram games. ASONAM (2019)
Taoran Ji, Zhiqian Chen, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan
Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks. CoRR (2019)
Pejman Khadivi, Ravi Tandon, Naren Ramakrishnan
Flow of Information in Feed-Forward Denoising Neural Networks. ICCI*CC (2018)
Yue Ning, Sathappan Muthiah, Naren Ramakrishnan, Huzefa Rangwala, David Mares
When do Crowds Turn Violent? Uncovering Triggers from Media. ASONAM (2018)
Yaser Keneshloo, Naren Ramakrishnan, Chandan K. Reddy
Deep Transfer Reinforcement Learning for Text Summarization. CoRR (2018)
John E. Wenskovitch, Ian Crandell, Naren Ramakrishnan, Leanna House, Scotland Leman, Chris North
Towards a Systematic Combination of Dimension Reduction and Clustering in Visual Analytics. IEEE Trans. Vis. Comput. Graph. 24 (1) (2018)
Nikhil Muralidhar, Chen Wang, Nathan Self, Marjan Momtazpour, Kiyoshi Nakayama, Ratnesh Sharma, Naren Ramakrishnan
illiad: InteLLigent Invariant and Anomaly Detection in Cyber-Physical Systems. ACM Trans. Intell. Syst. Technol. 9 (3) (2018)
Taoran Ji, Kaiqun Fu, Nathan Self, Chang-Tien Lu, Naren Ramakrishnan
Multi-Task Learning for Transit Service Disruption Detection. ASONAM (2018)
Hao Wu, Maoyuan Sun, Peng Mi, Nikolaj Tatti, Chris North, Naren Ramakrishnan
Interactive Discovery of Coordinated Relationship Chains with Maximum Entropy Models. ACM Trans. Knowl. Discov. Data 12 (1) (2018)
Mohammad Raihanul Islam, B. Aditya Prakash, Naren Ramakrishnan
SIGNet: Scalable Embeddings for Signed Networks. PAKDD (2) (2018)
Sujay Yadawadkar, Brian Mayer, Sanket Lokegaonkar, Mohammad Raihanul Islam, Naren Ramakrishnan, Miao Song, Michael Mollenhauer
Identifying Distracted and Drowsy Drivers Using Naturalistic Driving Data. IEEE BigData (2018)
Yihui Ren, Vanessa Cedeno-Mieles, Zhihao Hu, Xinwei Deng, Abhijin Adiga, Christopher L. Barrett, Saliya Ekanayake, Brian J. Goode, Gizem Korkmaz, Chris J. Kuhlman, Dustin Machi, Madhav V. Marathe, Naren Ramakrishnan, S. S. Ravi, Parang Saraf, Nathan Self, Noshir Contractor, Joshua M. Epstein, Michael W. Macy
Generative Modeling of Human Behavior and Social Interactions Using Abductive Analysis. ASONAM (2018)
Hao Wu, Xinwei Deng, Naren Ramakrishnan
Sparse estimation of multivariate Poisson log-normal models from count data. Stat. Anal. Data Min. 11 (2) (2018)
Tian Shi, Yaser Keneshloo, Naren Ramakrishnan, Chandan K. Reddy
Neural Abstractive Text Summarization with Sequence-to-Sequence Models. CoRR (2018)
Ting Hua, Chandan K. Reddy, Lei Zhang, Lijing Wang, Liang Zhao, Chang-Tien Lu, Naren Ramakrishnan
Social Media based Simulation Models for Understanding Disease Dynamics. IJCAI (2018)
Yaser Keneshloo, Tian Shi, Naren Ramakrishnan, Chandan K. Reddy
Deep Reinforcement Learning For Sequence to Sequence Models. CoRR (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Naren Ramakrishnan