Complex Group-By Queries for XML. - Chaitanya Gokhale; Nitin Gupta 003; Pranav Kumar; Laks V. S. Lakshmanan; Raymond T. Ng; B. Aditya Prakash (ICDE, 2007)

EigenSpokes: Surprising Patterns and Scalable Community Chipping in Large Graphs. - B. Aditya Prakash; Mukund Seshadri; Ashwin Sridharan; Sridhar Machiraju; Christos Faloutsos (ICDM Workshops, 2009)

BGP-lens: patterns and anomalies in internet routing updates. - B. Aditya Prakash; Nicholas Valler; David G. Andersen; Michalis Faloutsos; Christos Faloutsos (KDD, 2009)

FRAPP: a framework for high-accuracy privacy-preserving mining. - Shipra Agrawal 001; Jayant R. Haritsa; B. Aditya Prakash (Data Min. Knowl. Discov., 2009)

On the Vulnerability of Large Graphs. - Hanghang Tong; B. Aditya Prakash; Charalampos E. Tsourakakis; Tina Eliassi-Rad; Christos Faloutsos; Duen Horng Chau (ICDM, 2010)

Metric forensics: a multi-level approach for mining volatile graphs. - Keith Henderson; Tina Eliassi-Rad; Christos Faloutsos; Leman Akoglu; Lei Li 005; Koji Maruhashi; B. Aditya Prakash; Hanghang Tong (KDD, 2010)

Virus Propagation on Time-Varying Networks: Theory and Immunization Algorithms. - B. Aditya Prakash; Hanghang Tong; Nicholas Valler; Michalis Faloutsos; Christos Faloutsos (ECML/PKDD (3), 2010)

Parsimonious Linear Fingerprinting for Time Series. - Lei Li 005; B. Aditya Prakash; Christos Faloutsos (Proc. VLDB Endow., 2010)

Time Series Clustering: Complex is Simpler! - Lei Li 005; B. Aditya Prakash (ICML, 2011)

Epidemic Spread in Mobile Ad Hoc Networks: Determining the Tipping Point. - Nicholas Valler; B. Aditya Prakash; Hanghang Tong; Michalis Faloutsos; Christos Faloutsos (Networking (1), 2011)

Gelling, and melting, large graphs by edge manipulation. - Hanghang Tong; B. Aditya Prakash; Tina Eliassi-Rad; Michalis Faloutsos; Christos Faloutsos (CIKM, 2012)

Spotting Culprits in Epidemics: How Many and Which Ones? - B. Aditya Prakash; Jilles Vreeken; Christos Faloutsos (ICDM, 2012)

Interacting viruses in networks: can both survive? - Alex Beutel; B. Aditya Prakash; Roni Rosenfeld; Christos Faloutsos (KDD, 2012)

Rise and fall patterns of information diffusion: model and implications. - Yasuko Matsubara; Yasushi Sakurai; B. Aditya Prakash; Lei Li 005; Christos Faloutsos (KDD, 2012)

Winner takes all: competing viruses or ideas on fair-play networks. - B. Aditya Prakash; Alex Beutel; Roni Rosenfeld; Christos Faloutsos (WWW, 2012)

Competing memes propagation on networks: a case study of composite networks. - Xuetao Wei; Nicholas Valler; B. Aditya Prakash; Iulian Neamtiu; Michalis Faloutsos; Christos Faloutsos (Comput. Commun. Rev., 2012)

Propagation and immunization in large networks. - B. Aditya Prakash (XRDS, 2012)

Threshold conditions for arbitrary cascade models on arbitrary networks. - B. Aditya Prakash; Deepayan Chakrabarti; Nicholas Valler; Michalis Faloutsos; Christos Faloutsos (Knowl. Inf. Syst., 2012)

Understanding and Managing Cascades on Large Graphs. - B. Aditya Prakash; Christos Faloutsos (Proc. VLDB Endow., 2012)

Spatio-temporal mining of software adoption & penetration. - Evangelos E. Papalexakis; Tudor Dumitras; Duen Horng (Polo) Chau; B. Aditya Prakash; Christos Faloutsos (ASONAM, 2013)

Smartphone viruses propagation on heterogeneous composite networks. - Xuetao Wei; Nicholas Valler; Michalis Faloutsos; Iulian Neamtiu; B. Aditya Prakash; Christos Faloutsos (NSW, 2013)

Patterns amongst Competing Task Frequencies: Super-Linearities, and the Almond-DG Model. - Danai Koutra; Vasileios Koutras; B. Aditya Prakash; Christos Faloutsos (PAKDD (1), 2013)

Fractional Immunization in Networks. - Lada A. Adamic; Christos Faloutsos; Theodore J. Iwashyna; B. Aditya Prakash; Hanghang Tong (SDM, 2013)

Competing Memes Propagation on Networks: A Network Science Perspective. - Xuetao Wei; Nicholas Valler; B. Aditya Prakash; Iulian Neamtiu; Michalis Faloutsos; Christos Faloutsos (IEEE J. Sel. Areas Commun., 2013)

SansText: Classifying temporal topic dynamics of Twitter cascades without tweet text. - Shashidhar Sundereisan; Abhay Bhadriraju; M. Saquib Khan; Naren Ramakrishnan; B. Aditya Prakash (ASONAM, 2014)

Scalable Vaccine Distribution in Large Graphs given Uncertain Data. - Yao Zhang 003; B. Aditya Prakash (CIKM, 2014)

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 (ICDM, 2014)

Modeling mass protest adoption in social network communities using geometric brownian motion. - Fang Jin; Rupinder Paul Khandpur; Nathan Self; Edward R. Dougherty; Sheng Guo 002; Feng Chen 001; B. Aditya Prakash; Naren Ramakrishnan (KDD, 2014)

Fast influence-based coarsening for large networks. - Manish Purohit; B. Aditya Prakash; Chanhyun Kang; Yao Zhang 003; V. S. Subrahmanian (KDD, 2014)

DAVA: Distributing Vaccines over Networks under Prior Information. - Yao Zhang 003; B. Aditya Prakash (SDM, 2014)

Efficiently spotting the starting points of an epidemic in a large graph. - B. Aditya Prakash; Jilles Vreeken; Christos Faloutsos (Knowl. Inf. Syst., 2014)

SharkFin: Spatio-temporal mining of software adoption and penetration. - Evangelos E. Papalexakis; Tudor Dumitras; Duen Horng Chau; B. Aditya Prakash; Christos Faloutsos (Soc. Netw. Anal. Min., 2014)

The Global Cyber-Vulnerability Report - V. S. Subrahmanian; Michael Ovelgönne; Tudor Dumitras; B. Aditya Prakash (Springer, 2015)

Mining Unstable Communities from Network Ensembles. - Ahsanur Rahman 001; Steve T. K. Jan; Hyunju Kim; B. Aditya Prakash; T. M. Murali 001 (ICDM Workshops, 2015)

Controlling Propagation at Group Scale on Networks. - Yao Zhang 003; Abhijin Adiga; Anil Vullikanti; B. Aditya Prakash (ICDM, 2015)

Approximation Algorithms for Reducing the Spectral Radius to Control Epidemic Spread. - Sudip Saha; Abhijin Adiga; B. Aditya Prakash; Anil Kumar S. Vullikanti (SDM, 2015)

Hidden Hazards: Finding Missing Nodes in Large Graph Epidemics. - Shashidhar Sundareisan; Jilles Vreeken; B. Aditya Prakash (SDM, 2015)

Data-Aware Vaccine Allocation Over Large Networks. - Yao Zhang 003; B. Aditya Prakash (ACM Trans. Knowl. Discov. Data, 2015)

Graph Mining for Cyber Security. - B. Aditya Prakash (Cyber Warfare, 2015)

URBAN-NET: A network-based infrastructure monitoring and analysis system for emergency management and public safety. - Sangkeun Lee 002; Liangzhe Chen; Sisi Duan; Supriya Chinthavali; Mallikarjun Shankar; B. Aditya Prakash (IEEE BigData, 2016)

Segmenting Sequences of Node-Labeled Graphs. - Sorour E. Amiri; Liangzhe Chen; B. Aditya Prakash (ICDM Workshops, 2016)

Leveraging Propagation for Data Mining: Models, Algorithms and Applications. - B. Aditya Prakash; Naren Ramakrishnan (KDD, 2016)

Reconstructing an Epidemic Over Time. - Polina Rozenshtein; Aristides Gionis; B. Aditya Prakash; Jilles Vreeken (KDD, 2016)

Unstable Communities in Network Ensembles. - Ahsanur Rahman 001; Steve T. K. Jan; Hyunju Kim; B. Aditya Prakash; T. M. Murali 001 (SDM, 2016)

Ensemble Models for Data-driven Prediction of Malware Infections. - Chanhyun Kang; Noseong Park; B. Aditya Prakash; Edoardo Serra; V. S. Subrahmanian (WSDM, 2016)

Forecasting the Flu: Designing Social Network Sensors for Epidemics. - Huijuan Shao; K. S. M. Tozammel Hossain; Hao Wu 041; Maleq Khan; Anil Vullikanti; B. Aditya Prakash; Madhav V. Marathe; Naren Ramakrishnan (CoRR, 2016)

Syndromic surveillance of Flu on Twitter using weakly supervised temporal topic models. - Liangzhe Chen; K. S. M. Tozammel Hossain; Patrick Butler; Naren Ramakrishnan; B. Aditya Prakash (Data Min. Knowl. Discov., 2016)

Prediction Using Propagation: From Flu Trends to Cybersecurity. - B. Aditya Prakash (IEEE Intell. Syst., 2016)

Current and Future Challenges in Mining Large Networks: Report on the Second SDM Workshop on Mining Networks and Graphs. - Lawrence B. Holder; Rajmonda Sulo Caceres; David F. Gleich; E. Jason Riedy; Maleq Khan; Nitesh V. Chawla; Ravi Kumar 001; Yinghui Wu 001; Christine Klymko; Tina Eliassi-Rad; B. Aditya Prakash (SIGKDD Explor., 2016)

Eigen-Optimization on Large Graphs by Edge Manipulation. - Chen Chen 022; Hanghang Tong; B. Aditya Prakash; Tina Eliassi-Rad; Michalis Faloutsos; Christos Faloutsos (ACM Trans. Knowl. Discov. Data, 2016)

Node Immunization on Large Graphs: Theory and Algorithms. - Chen Chen 022; Hanghang Tong; B. Aditya Prakash; Charalampos E. Tsourakakis; Tina Eliassi-Rad; Christos Faloutsos; Duen Horng Chau (IEEE Trans. Knowl. Data Eng., 2016)

Near-Optimal Algorithms for Controlling Propagation at Group Scale on Networks. - Yao Zhang 003; Abhijin Adiga; Sudip Saha; Anil Vullikanti; B. Aditya Prakash (IEEE Trans. Knowl. Data Eng., 2016)

SnapNETS: Automatic Segmentation of Network Sequences with Node Labels. - Sorour E. Amiri; Liangzhe Chen; B. Aditya Prakash (AAAI, 2017)

HotSpots: Failure Cascades on Heterogeneous Critical Infrastructure Networks. - Liangzhe Chen; Xinfeng Xu; Sangkeun Lee 002; Sisi Duan; Alfonso G. Tarditi; Supriya Chinthavali; B. Aditya Prakash (CIKM, 2017)

Distributed Representations of Subgraphs. - Bijaya Adhikari; Yao Zhang 003; Naren Ramakrishnan; B. Aditya Prakash (ICDM Workshops, 2017)

Data-Driven Immunization. - Yao Zhang 003; Arvind Ramanathan; Anil Vullikanti; Laura L. Pullum; B. Aditya Prakash (ICDM, 2017)

Condensing Temporal Networks using Propagation. - Bijaya Adhikari; Yao Zhang 003; Aditya Bharadwaj; B. Aditya Prakash (SDM, 2017)

MeiKe: Influence-based Communities in Networks. - Yao Zhang 003; Bijaya Adhikari; Steve T. K. Jan; B. Aditya Prakash (SDM, 2017)

Detecting Large Reshare Cascades in Social Networks. - Karthik Subbian; B. Aditya Prakash; Lada A. Adamic (WWW, 2017)

Distributed Representation of Subgraphs. - Bijaya Adhikari; Yao Zhang 003; Naren Ramakrishnan; B. Aditya Prakash (CoRR, 2017)

Understanding the Relationship between Human Behavior and Susceptibility to Cyber Attacks: A Data-Driven Approach. - Michael Ovelgönne; Tudor Dumitras; B. Aditya Prakash; V. S. Subrahmanian; Benjamin Wang (ACM Trans. Intell. Syst. Technol., 2017)

Nonlinear Dynamics of Information Diffusion in Social Networks. - Yasuko Matsubara; Yasushi Sakurai; B. Aditya Prakash; Lei Li 005; Christos Faloutsos (ACM Trans. Web, 2017)

Automatic Segmentation of Data Sequences. - Liangzhe Chen; Sorour E. Amiri; B. Aditya Prakash (AAAI, 2018)

NetGist: Learning to Generate Task-Based Network Summaries. - Sorour E. Amiri; Bijaya Adhikari; Aditya Bharadwaj; B. Aditya Prakash (ICDM, 2018)

DeepDiffuse: Predicting the 'Who' and 'When' in Cascades. - Mohammad Raihanul Islam; Sathappan Muthiah; Bijaya Adhikari; B. Aditya Prakash; Naren Ramakrishnan (ICDM, 2018)

Sub2Vec: Feature Learning for Subgraphs. - Bijaya Adhikari; Yao Zhang 003; Naren Ramakrishnan; B. Aditya Prakash (PAKDD (2), 2018)

SIGNet: Scalable Embeddings for Signed Networks. - Mohammad Raihanul Islam; B. Aditya Prakash; Naren Ramakrishnan (PAKDD (2), 2018)

Near-Optimal Mapping of Network States using Probes. - Bijaya Adhikari; Pavan Rangudu; B. Aditya Prakash; Anil Vullikanti (SDM, 2018)

Mining E-Commerce Query Relations using Customer Interaction Networks. - Bijaya Adhikari; Parikshit Sondhi; Wenke Zhang; Mohit Sharma 002; B. Aditya Prakash (WWW, 2018)

Efficiently summarizing attributed diffusion networks. - Sorour E. Amiri; Liangzhe Chen; B. Aditya Prakash (Data Min. Knowl. Discov., 2018)

Propagation-Based Temporal Network Summarization. - Bijaya Adhikari; Yao Zhang 003; Sorour E. Amiri; Aditya Bharadwaj; B. Aditya Prakash (IEEE Trans. Knowl. Data Eng., 2018)

Automatic Segmentation of Dynamic Network Sequences with Node Labels. - Sorour E. Amiri; Liangzhe Chen; B. Aditya Prakash (IEEE Trans. Knowl. Data Eng., 2018)

EpiDeep: Exploiting Embeddings for Epidemic Forecasting. - Bijaya Adhikari; Xinfeng Xu; Naren Ramakrishnan; B. Aditya Prakash (KDD, 2019)

Joint Post and Link-level Influence Modeling on Social Media. - Liangzhe Chen; B. Aditya Prakash (SDM, 2019)

Data-driven efficient network and surveillance-based immunization. - Yao Zhang 003; Arvind Ramanathan; Anil Vullikanti; Laura Pullum; B. Aditya Prakash (Knowl. Inf. Syst., 2019)

Fast and near-optimal monitoring for healthcare acquired infection outbreaks. - Bijaya Adhikari; Bryan L. Lewis; Anil Vullikanti; José M. Jiménez; B. Aditya Prakash (PLoS Comput. Biol., 2019)

Tracking and analyzing dynamics of news-cycles during global pandemics: a historical perspective. - Sorour E. Amiri; Anika Tabassum; E. Thomas Ewing; B. Aditya Prakash (SIGKDD Explor., 2019)

Designing Effective and Practical Interventions to Contain Epidemics. - Prathyush Sambaturu; Bijaya Adhikari; B. Aditya Prakash; Srinivasan Venkatramanan; Anil Vullikanti (AAMAS, 2020)

Mapping Network States using Connectivity Queries. - Alexander Rodríguez; Bijaya Adhikari; Andrés D. González; Charles D. Nicholson; Anil Vullikanti; B. Aditya Prakash (IEEE BigData, 2020)

NetReAct: Interactive Learning for Network Summarization. - Sorour E. Amiri; Bijaya Adhikari; John E. Wenskovitch; Alexander Rodríguez; Michelle Dowling; Chris North 001; B. Aditya Prakash (CoRR, 2020)

Cut-n-Reveal: Time Series Segmentations with Explanations. - Nikhil Muralidhar; Anika Tabassum; Liangzhe Chen; Supriya Chinthavali; Naren Ramakrishnan; B. Aditya Prakash (ACM Trans. Intell. Syst. Technol., 2020)

Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19. - Alexander Rodríguez; Nikhil Muralidhar; Bijaya Adhikari; Anika Tabassum; Naren Ramakrishnan; B. Aditya Prakash (AAAI, 2021)

DeepCOVID: An Operational Deep Learning-driven Framework for Explainable Real-time COVID-19 Forecasting. - Alexander Rodríguez; Anika Tabassum; Jiaming Cui; Jiajia Xie; Javen Ho; Pulak Agarwal; Bijaya Adhikari; B. Aditya Prakash (AAAI, 2021)

Efficient Contingency Analysis in Power Systems via Network Trigger Nodes. - Anika Tabassum; Supriya Chinthavali; Sangkeun Lee 002; Nils M. Stenvig; Bill Kay; P. Teja Kuruganti; B. Aditya Prakash (IEEE BigData, 2021)

Actionable Insights in Urban Multivariate Time-series. - Anika Tabassum; Supriya Chinthavali; Varisara Tansakul; B. Aditya Prakash (CIKM, 2021)

The 4th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery (epiDAMIK 4.0 @ KDD2021). - Bijaya Adhikari; Ajitesh Srivastava; Sen Pei; Sarah Kefayati; Rose Yu; Amulya Yadav; Alexander Rodríguez; Arvind Ramanathan; Anil Vullikanti; B. Aditya Prakash (KDD, 2021)

When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting. - Harshavardhan Kamarthi; Lingkai Kong; Alexander Rodríguez; Chao Zhang 014; B. Aditya Prakash (NeurIPS, 2021)

Incorporating Expert Guidance in Epidemic Forecasting. - Alexander Rodríguez; Bijaya Adhikari; Naren Ramakrishnan; B. Aditya Prakash (CoRR, 2021)

Provable Sensor Sets for Epidemic Detection over Networks with Minimum Delay. - Jack Heavey; Jiaming Cui; Chen Chen 022; B. Aditya Prakash; Anil Vullikanti (AAAI, 2022)

Back2Future: Leveraging Backfill Dynamics for Improving Real-time Predictions in Future. - Harshavardhan Kamarthi; Alexander Rodríguez; B. Aditya Prakash (ICLR, 2022)

epiDAMIK 5.0: The 5th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery. - Bijaya Adhikari; Amulya Yadav; Sen Pei; Ajitesh Srivastava; Sarah Kefayati; Alexander Rodríguez; Marie-Laure Charpignon; Anil Vullikanti; B. Aditya Prakash (KDD, 2022)

Epidemic Forecasting with a Data-Centric Lens. - Alexander Rodríguez; Harshavardhan Kamarthi; B. Aditya Prakash (KDD, 2022)

End-to-end Stochastic Optimization with Energy-based Model. - Lingkai Kong; Jiaming Cui; Yuchen Zhuang; Rui Feng; B. Aditya Prakash; Chao Zhang 014 (NeurIPS, 2022)

CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting. - Harshavardhan Kamarthi; Lingkai Kong; Alexander Rodríguez; Chao Zhang 014; B. Aditya Prakash (WWW, 2022)

PROFHIT: Probabilistic Robust Forecasting for Hierarchical Time-series. - Harshavardhan Kamarthi; Lingkai Kong; Alexander Rodríguez; Chao Zhang 014; B. Aditya Prakash (CoRR, 2022)

Data-Centric Epidemic Forecasting: A Survey. - Alexander Rodríguez; Harshavardhan Kamarthi; Pulak Agarwal; Javen Ho; Mira Patel; Suchet Sapre; B. Aditya Prakash (CoRR, 2022)

Differentiable Agent-based Epidemiology. - Ayush Chopra; Alexander Rodríguez; Jayakumar Subramanian; Balaji Krishnamurthy; B. Aditya Prakash; Ramesh Raskar (CoRR, 2022)

Detecting Sources of Healthcare Associated Infections. - Hankyu Jang; Andrew Fu; Jiaming Cui; Methun Kamruzzaman; B. Aditya Prakash; Anil Vullikanti; Bijaya Adhikari; Sriram V. Pemmaraju (AAAI, 2023)

EINNs: Epidemiologically-Informed Neural Networks. - Alexander Rodríguez; Jiaming Cui; Naren Ramakrishnan; Bijaya Adhikari; B. Aditya Prakash (AAAI, 2023)

Differentiable Agent-based Epidemiology. - Ayush Chopra; Alexander Rodríguez; Jayakumar Subramanian; Arnau Quera-Bofarull; Balaji Krishnamurthy; B. Aditya Prakash; Ramesh Raskar (AAMAS, 2023)

Autoregressive Diffusion Model for Graph Generation. - Lingkai Kong; Jiaming Cui; Haotian Sun; Yuchen Zhuang; B. Aditya Prakash; Chao Zhang 014 (ICML, 2023)

epiDAMIK 6.0: The 6th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery. - Bijaya Adhikari; Alexander Rodríguez; Amulya Yadav; Sen Pei; Ajitesh Srivastava; Marie-Laure Charpignon; Anil Vullikanti; B. Aditya Prakash (KDD, 2023)

When Rigidity Hurts: Soft Consistency Regularization for Probabilistic Hierarchical Time Series Forecasting. - Harshavardhan Kamarthi; Lingkai Kong; Alexander Rodríguez; Chao Zhang 014; B. Aditya Prakash (KDD, 2023)

Uncertainty Quantification in Deep Learning. - Lingkai Kong; Harshavardhan Kamarthi; Peng Chen 024; B. Aditya Prakash; Chao Zhang 014 (KDD, 2023)

DF2: Distribution-Free Decision-Focused Learning. - Lingkai Kong; Wenhao Mu; Jiaming Cui; Yuchen Zhuang; B. Aditya Prakash; Bo Dai 001; Chao Zhang 014 (CoRR, 2023)

Performative Time-Series Forecasting. - Zhiyuan Zhao 002; Alexander Rodríguez; B. Aditya Prakash (CoRR, 2023)

PEMS: Pre-trained Epidemic Time-series Models. - Harshavardhan Kamarthi; B. Aditya Prakash (CoRR, 2023)

Empirical networks for localized COVID-19 interventions using WiFi infrastructure at university campuses. - Vedant Das Swain; Jiajia Xie; Maanit Madan; Sonia Sargolzaei; James Cai; Munmun De Choudhury; Gregory D. Abowd; Lauren N. Steimle; B. Aditya Prakash (Frontiers Digit. Health, 2023)

LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting. - Haoxin Liu 001; Zhiyuan Zhao 002; Jindong Wang 001; Harshavardhan Kamarthi; B. Aditya Prakash (ACL (Findings), 2024)

PINNsFormer: A Transformer-Based Framework For Physics-Informed Neural Networks. - Leo Zhiyuan Zhao; Xueying Ding; B. Aditya Prakash (ICLR, 2024)

Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning. - Haoxin Liu 001; Harshavardhan Kamarthi; Lingkai Kong; Zhiyuan Zhao 002; Chao Zhang 014; B. Aditya Prakash (ICML, 2024)

A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation. - Mohammad Hashemi; Shengbo Gong; Juntong Ni; Wenqi Fan; B. Aditya Prakash; Wei Jin 009 (IJCAI, 2024)

A Review of Graph Neural Networks in Epidemic Modeling. - Zewen Liu 005; Guancheng Wan; B. Aditya Prakash; Max S. Y. Lau; Wei Jin 009 (KDD, 2024)

Large Scale Hierarchical Industrial Demand Time-Series Forecasting incorporating Sparsity. - Harshavardhan Kamarthi; Aditya B. Sasanur; Xinjie Tong; Xingyu Zhou; James Peters; Joe Czyzyk; B. Aditya Prakash (KDD, 2024)

epiDAMIK 2024: The 7th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery. - Alexander Rodríguez; Bijaya Adhikari; Ajitesh Srivastava; Sen Pei; Marie-Laure Charpignon; Kai Wang 071; Serina Chang; Anil Vullikanti; B. Aditya Prakash (KDD, 2024)

Large Pre-trained time series models for cross-domain Time series analysis tasks. - Harshavardhan Kamarthi; B. Aditya Prakash (NeurIPS, 2024)

Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis. - Haoxin Liu 001; Shangqing Xu; Zhiyuan Zhao 002; Lingkai Kong; Harshavardhan Kamarthi; Aditya B. Sasanur; Megha Sharma; Jiaming Cui; Qingsong Wen; Chao Zhang 014; B. Aditya Prakash (NeurIPS, 2024)

H2ABM: Heterogeneous Agent-based Model on Hypergraphs to Capture Group Interactions. - Vivek Anand; Jiaming Cui; Jack Heavey; Anil Vullikanti; B. Aditya Prakash (SDM, 2024)

Time-MMD: A New Multi-Domain Multimodal Dataset for Time Series Analysis. - Haoxin Liu 001; Shangqing Xu; Zhiyuan Zhao 002; Lingkai Kong; Harshavardhan Kamarthi; Aditya B. Sasanur; Megha Sharma; Jiaming Cui; Qingsong Wen; Chao Zhang 014; B. Aditya Prakash (CoRR, 2024)

TSI-Bench: Benchmarking Time Series Imputation. - Wenjie Du; Jun Wang; Linglong Qian; Yiyuan Yang; Fanxing Liu; Zepu Wang; Zina M. Ibrahim; Haoxin Liu 001; Zhiyuan Zhao 002; Yingjie Zhou; Wenjia Wang; Kaize Ding; et al. (CoRR, 2024)

Learning Graph Structures and Uncertainty for Accurate and Calibrated Time-series Forecasting. - Harshavardhan Kamarthi; Lingkai Kong; Alexander Rodríguez; Chao Zhang 014; B. Aditya Prakash (CoRR, 2024)

Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph. - Guancheng Wan; Zewen Liu 005; Max S. Y. Lau; B. Aditya Prakash; Wei Jin 009 (CoRR, 2024)

Machine learning for data-centric epidemic forecasting. - Alexander Rodríguez; Harshavardhan Kamarthi; Pulak Agarwal; Javen Ho; Mira Patel; Suchet Sapre; B. Aditya Prakash (Nat. Mac. Intell., 2024)

A Picture is Worth A Thousand Numbers: Enabling LLMs Reason about Time Series via Visualization. - Haoxin Liu 001; Chenghao Liu; B. Aditya Prakash (NAACL (Long Papers), 2025)

Accurately Estimating Unreported Infections using Information Theory. - Jiaming Cui; Bijaya Adhikari; Arash Haddadan; A. S. M. Ahsan-Ul-Haque; Jilles Vreeken; Anil Vullikanti; B. Aditya Prakash (SDM, 2025)

DF2: Distribution-Free Decision-Focused Learning. - Lingkai Kong; Wenhao Mu; Jiaming Cui; Yuchen Zhuang; B. Aditya Prakash; Bo Dai 001; Chao Zhang 014 (UAI, 2025)

Identifying and forecasting importation and asymptomatic spreaders of multi-drug resistant organisms in hospital settings. - Jiaming Cui; Jack Heavey; Eili Y. Klein; Gregory Madden; Costi D. Sifri; Anil Vullikanti; B. Aditya Prakash (npj Digit. Medicine, 2025)

Evaluating System 1 vs. 2 Reasoning Approaches for Zero-Shot Time Series Forecasting: A Benchmark and Insights. - Haoxin Liu 001; Zhiyuan Zhao 002; Shiduo Li; B. Aditya Prakash (CoRR, 2025)

How Can Time Series Analysis Benefit From Multiple Modalities? A Survey and Outlook. - Haoxin Liu 001; Harshavardhan Kamarthi; Zhiyuan Zhao 002; Shangqing Xu; Shiyu Wang; Qingsong Wen; Tom Hartvigsen; Fei Wang; B. Aditya Prakash (CoRR, 2025)

TimeRecipe: A Time-Series Forecasting Recipe via Benchmarking Module Level Effectiveness. - Zhiyuan Zhao 002; Juntong Ni; Shangqing Xu; Haoxin Liu 001; Wei Jin 009; B. Aditya Prakash (CoRR, 2025)

A Framework for Multi-source Privacy Preserving Epidemic Analysis. - Zihan Guan 001; Zhiyuan Zhao 002; Fengwei Tian; Dung Nguyen 002; Payel Bhattacharjee; Ravi Tandon; B. Aditya Prakash; Anil Vullikanti (CoRR, 2025)

TAT: Temporal-Aligned Transformer for Multi-Horizon Peak Demand Forecasting. - Zhiyuan Zhao 002; Sitan Yang; Kin G. Olivares; Boris N. Oreshkin; Stan Vitebsky; Michael W. Mahoney; B. Aditya Prakash; Dmitry Efimov (CoRR, 2025)