B. Aditya Prakash
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
81
Venues
18
Active years
2007–2026
Best venue rank
A*
Where they publish
Papers
81 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ICDE | Hierarchical Industrial Demand Forecasting with Temporal and Uncertainty Explanations. | Harshavardhan Kamarthi, Shangqing Xu, Xinjie Tong, Xingyu Zhou, James Peters, Joseph Czyzyk, B. Aditya Prakash |
| 2026 | ICDE | TAT: Temporal-Aligned Transformer for Multi-Horizon Peak Demand Forecasting. | Zhiyuan Zhao, Sitan Yang, Kin G. Olivares, Boris N. Oreshkin, Stan Vitebsky, Michael W. Mahoney, B. Aditya Prakash, Dmitry Efimov |
| 2026 | KDD | AHA: Scalable Alternative History Analysis for Operational Timeseries Applications. | Harshavardhan Kamarthi, Harshil Shah, Henry Milner, Sayan Sinha, Yan Li, B. Aditya Prakash, Vyas Sekar |
| 2026 | NSDI | MoCE: A Mixture-of-Context Aware Experts Framework for Troubleshooting Internet-scale Services. | Vipul Harsh, Sayan Sinha, Henry Milner, B. Aditya Prakash, Vyas Sekar, Hui Zhang |
| 2025 | CIKM | In-context Pre-trained Time-Series Foundation Models adapt to Unseen Tasks. | Shangqing Xu, Harshavardhan Kamarthi, Haoxin Liu, B. Aditya Prakash |
| 2025 | HOTNETS | Automatically Surfacing Opportunities for Improvements In Internet-Scale Applications. | Vipul Harsh, Sayan Sinha, Henry Milner, Haijie Wu, B. Aditya Prakash, Vyas Sekar, Hui Zhang |
| 2025 | ICML | EARTH: Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph. | Guancheng Wan, Zewen Liu, Xiaojun Shan, Max S. Y. Lau, B. Aditya Prakash, Wei Jin |
| 2025 | KDD | SciSoc LLM Workshop: Large Language Models for Scientific and Societal Advances. | Wei Jin, Lu Cheng, Wenpeng Yin, Xianfeng Tang, Qingsong Wen, Danai Koutra, B. Aditya Prakash, Yan Liu |
| 2025 | KDD | Performative Time-Series Forecasting. | Zhiyuan Zhao, Haoxin Liu, Alexander Rodrguez, B. Aditya Prakash |
| 2025 | NAACL | A Picture is Worth A Thousand Numbers: Enabling LLMs Reason about Time Series via Visualization. | Haoxin Liu, Chenghao Liu, B. Aditya Prakash |
| 2025 | UAI | DF | Lingkai Kong, Wenhao Mu, Jiaming Cui, Yuchen Zhuang, B. Aditya Prakash, Bo Dai, Chao Zhang |
| 2025 | SDM | 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 |
| 2024 | ACL | LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting. | Haoxin Liu, Zhiyuan Zhao, Jindong Wang, Harshavardhan Kamarthi, B. Aditya Prakash |
| 2024 | ICLR | PINNsFormer: A Transformer-Based Framework For Physics-Informed Neural Networks. | Leo Zhiyuan Zhao, Xueying Ding, B. Aditya Prakash |
| 2024 | ICML | Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning. | Haoxin Liu, Harshavardhan Kamarthi, Lingkai Kong, Zhiyuan Zhao, Chao Zhang, B. Aditya Prakash |
| 2024 | IJCAI | A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation. | Mohammad Hashemi, Shengbo Gong, Juntong Ni, Wenqi Fan, B. Aditya Prakash, Wei Jin |
| 2024 | KDD | A Review of Graph Neural Networks in Epidemic Modeling. | Zewen Liu, Guancheng Wan, B. Aditya Prakash, Max S. Y. Lau, Wei Jin |
| 2024 | KDD | 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 |
| 2024 | KDD | epiDAMIK 2024: The 7th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery. | Alexander Rodrguez, Bijaya Adhikari, Ajitesh Srivastava, Sen Pei, Marie-Laure Charpignon, Kai Wang, Serina Chang, Anil Vullikanti, B. Aditya Prakash |
| 2024 | SDM | H | Vivek Anand, Jiaming Cui, Jack Heavey, Anil Vullikanti, B. Aditya Prakash |
| 2023 | AAAI | Detecting Sources of Healthcare Associated Infections. | Hankyu Jang, Andrew Fu, Jiaming Cui, Methun Kamruzzaman, B. Aditya Prakash, Anil Vullikanti, Bijaya Adhikari, Sriram V. Pemmaraju |
| 2023 | AAAI | EINNs: Epidemiologically-Informed Neural Networks. | Alexander Rodrguez, Jiaming Cui, Naren Ramakrishnan, Bijaya Adhikari, B. Aditya Prakash |
| 2023 | ICML | Autoregressive Diffusion Model for Graph Generation. | Lingkai Kong, Jiaming Cui, Haotian Sun, Yuchen Zhuang, B. Aditya Prakash, Chao Zhang |
| 2023 | KDD | epiDAMIK 6.0: The 6th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery. | Bijaya Adhikari, Alexander Rodrguez, Amulya Yadav, Sen Pei, Ajitesh Srivastava, Marie-Laure Charpignon, Anil Vullikanti, B. Aditya Prakash |
| 2023 | KDD | When Rigidity Hurts: Soft Consistency Regularization for Probabilistic Hierarchical Time Series Forecasting. | Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodrguez, Chao Zhang, B. Aditya Prakash |
| 2023 | KDD | Uncertainty Quantification in Deep Learning. | Lingkai Kong, Harshavardhan Kamarthi, Peng Chen, B. Aditya Prakash, Chao Zhang |
| 2022 | AAAI | Provable Sensor Sets for Epidemic Detection over Networks with Minimum Delay. | Jack Heavey, Jiaming Cui, Chen Chen, B. Aditya Prakash, Anil Vullikanti |
| 2022 | ICLR | Back2Future: Leveraging Backfill Dynamics for Improving Real-time Predictions in Future. | Harshavardhan Kamarthi, Alexander Rodrguez, B. Aditya Prakash |
| 2022 | KDD | 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 Rodrguez, Marie-Laure Charpignon, Anil Vullikanti, B. Aditya Prakash |
| 2022 | KDD | Epidemic Forecasting with a Data-Centric Lens. | Alexander Rodrguez, Harshavardhan Kamarthi, B. Aditya Prakash |
| 2022 | WWW | CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting. | Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodrguez, Chao Zhang, B. Aditya Prakash |
| 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 | AAAI | DeepCOVID: An Operational Deep Learning-driven Framework for Explainable Real-time COVID-19 Forecasting. | Alexander Rodrguez, Anika Tabassum, Jiaming Cui, Jiajia Xie, Javen Ho, Pulak Agarwal, Bijaya Adhikari, B. Aditya Prakash |
| 2021 | CIKM | Actionable Insights in Urban Multivariate Time-series. | Anika Tabassum, Supriya Chinthavali, Varisara Tansakul, B. Aditya Prakash |
| 2021 | KDD | 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 Rodrguez, Arvind Ramanathan, Anil Vullikanti, B. Aditya Prakash |
| 2019 | KDD | EpiDeep: Exploiting Embeddings for Epidemic Forecasting. | Bijaya Adhikari, Xinfeng Xu, Naren Ramakrishnan, B. Aditya Prakash |
| 2019 | SDM | Joint Post and Link-level Influence Modeling on Social Media. | Liangzhe Chen, B. Aditya Prakash |
| 2018 | AAAI | Automatic Segmentation of Data Sequences. | Liangzhe Chen, Sorour E. Amiri, B. Aditya Prakash |
| 2018 | ICDM | NetGist: Learning to Generate Task-Based Network Summaries. | Sorour E. Amiri, Bijaya Adhikari, Aditya Bharadwaj, B. Aditya Prakash |
| 2018 | ICDM | DeepDiffuse: Predicting the 'Who' and 'When' in Cascades. | Mohammad Raihanul Islam, Sathappan Muthiah, Bijaya Adhikari, B. Aditya Prakash, 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 | WWW | Mining E-Commerce Query Relations using Customer Interaction Networks. | Bijaya Adhikari, Parikshit Sondhi, Wenke Zhang, Mohit Sharma, B. Aditya Prakash |
| 2018 | SDM | Near-Optimal Mapping of Network States using Probes. | Bijaya Adhikari, Pavan Rangudu, B. Aditya Prakash, Anil Vullikanti |
| 2017 | AAAI | SnapNETS: Automatic Segmentation of Network Sequences with Node Labels. | Sorour E. Amiri, Liangzhe Chen, B. Aditya Prakash |
| 2017 | CIKM | HotSpots: Failure Cascades on Heterogeneous Critical Infrastructure Networks. | Liangzhe Chen, Xinfeng Xu, Sangkeun Lee, Sisi Duan, Alfonso G. Tarditi, Supriya Chinthavali, B. Aditya Prakash |
| 2017 | ICDM | Distributed Representations of Subgraphs. | Bijaya Adhikari, Yao Zhang, Naren Ramakrishnan, B. Aditya Prakash |
| 2017 | ICDM | Data-Driven Immunization. | Yao Zhang, Arvind Ramanathan, Anil Vullikanti, Laura L. Pullum, B. Aditya Prakash |
| 2017 | WWW | Detecting Large Reshare Cascades in Social Networks. | Karthik Subbian, B. Aditya Prakash, Lada A. Adamic |
| 2017 | SDM | Condensing Temporal Networks using Propagation. | Bijaya Adhikari, Yao Zhang, Aditya Bharadwaj, B. Aditya Prakash |
| 2017 | SDM | MeiKe: Influence-based Communities in Networks. | Yao Zhang, Bijaya Adhikari, Steve T. K. Jan, B. Aditya Prakash |
| 2016 | ICDM | Segmenting Sequences of Node-Labeled Graphs. | Sorour E. Amiri, Liangzhe Chen, B. Aditya Prakash |
| 2016 | KDD | Leveraging Propagation for Data Mining: Models, Algorithms and Applications. | B. Aditya Prakash, Naren Ramakrishnan |
| 2016 | KDD | Reconstructing an Epidemic Over Time. | Polina Rozenshtein, Aristides Gionis, B. Aditya Prakash, Jilles Vreeken |
| 2016 | WSDM | Ensemble Models for Data-driven Prediction of Malware Infections. | Chanhyun Kang, Noseong Park, B. Aditya Prakash, Edoardo Serra, V. S. Subrahmanian |
| 2016 | SDM | Unstable Communities in Network Ensembles. | Ahsanur Rahman, Steve T. K. Jan, Hyunju Kim, B. Aditya Prakash, T. M. Murali |
| 2015 | ICDM | Mining Unstable Communities from Network Ensembles. | Ahsanur Rahman, Steve T. K. Jan, Hyunju Kim, B. Aditya Prakash, T. M. Murali |
| 2015 | ICDM | Controlling Propagation at Group Scale on Networks. | Yao Zhang, Abhijin Adiga, Anil Vullikanti, B. Aditya Prakash |
| 2015 | SDM | Approximation Algorithms for Reducing the Spectral Radius to Control Epidemic Spread. | Sudip Saha, Abhijin Adiga, B. Aditya Prakash, Anil Kumar S. Vullikanti |
| 2015 | SDM | Hidden Hazards: Finding Missing Nodes in Large Graph Epidemics. | Shashidhar Sundareisan, Jilles Vreeken, B. Aditya Prakash |
| 2014 | CIKM | Scalable Vaccine Distribution in Large Graphs given Uncertain Data. | Yao Zhang, B. Aditya Prakash |
| 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 | Fast influence-based coarsening for large networks. | Manish Purohit, B. Aditya Prakash, Chanhyun Kang, Yao Zhang, V. S. Subrahmanian |
| 2014 | SDM | DAVA: Distributing Vaccines over Networks under Prior Information. | Yao Zhang, B. Aditya Prakash |
| 2013 | PAKDD | Patterns amongst Competing Task Frequencies: Super-Linearities, and the Almond-DG Model. | Danai Koutra, Vasileios Koutras, B. Aditya Prakash, Christos Faloutsos |
| 2013 | SDM | Fractional Immunization in Networks. | Lada A. Adamic, Christos Faloutsos, Theodore J. Iwashyna, B. Aditya Prakash, Hanghang Tong |
| 2012 | CIKM | Gelling, and melting, large graphs by edge manipulation. | Hanghang Tong, B. Aditya Prakash, Tina Eliassi-Rad, Michalis Faloutsos, Christos Faloutsos |
| 2012 | ICDM | Spotting Culprits in Epidemics: How Many and Which Ones? | B. Aditya Prakash, Jilles Vreeken, Christos Faloutsos |
| 2012 | KDD | Interacting viruses in networks: can both survive? | Alex Beutel, B. Aditya Prakash, Roni Rosenfeld, Christos Faloutsos |
| 2012 | KDD | Rise and fall patterns of information diffusion: model and implications. | Yasuko Matsubara, Yasushi Sakurai, B. Aditya Prakash, Lei Li, Christos Faloutsos |
| 2012 | WWW | Winner takes all: competing viruses or ideas on fair-play networks. | B. Aditya Prakash, Alex Beutel, Roni Rosenfeld, Christos Faloutsos |
| 2011 | ICDM | Threshold Conditions for Arbitrary Cascade Models on Arbitrary Networks. | B. Aditya Prakash, Deepayan Chakrabarti, Michalis Faloutsos, Nicholas Valler, Christos Faloutsos |
| 2011 | ICML | Time Series Clustering: Complex is Simpler! | Lei Li, B. Aditya Prakash |
| 2011 | Networking | Epidemic Spread in Mobile Ad Hoc Networks: Determining the Tipping Point. | Nicholas Valler, B. Aditya Prakash, Hanghang Tong, Michalis Faloutsos, Christos Faloutsos |
| 2010 | ICDM | On the Vulnerability of Large Graphs. | Hanghang Tong, B. Aditya Prakash, Charalampos E. Tsourakakis, Tina Eliassi-Rad, Christos Faloutsos, Duen Horng Chau |
| 2010 | KDD | Metric forensics: a multi-level approach for mining volatile graphs. | Keith Henderson, Tina Eliassi-Rad, Christos Faloutsos, Leman Akoglu, Lei Li, Koji Maruhashi, B. Aditya Prakash, Hanghang Tong |
| 2010 | PAKDD | EigenSpokes: Surprising Patterns and Scalable Community Chipping in Large Graphs. | B. Aditya Prakash, Ashwin Sridharan, Mukund Seshadri, Sridhar Machiraju, Christos Faloutsos |
| 2009 | ICDM | EigenSpokes: Surprising Patterns and Scalable Community Chipping in Large Graphs. | B. Aditya Prakash, Mukund Seshadri, Ashwin Sridharan, Sridhar Machiraju, Christos Faloutsos |
| 2009 | KDD | BGP-lens: patterns and anomalies in internet routing updates. | B. Aditya Prakash, Nicholas Valler, David G. Andersen, Michalis Faloutsos, Christos Faloutsos |
| 2007 | ICDE | Complex Group-By Queries for XML. | Chaitanya Gokhale, Nitin Gupta, Pranav Kumar, Laks V. S. Lakshmanan, Raymond T. Ng, B. Aditya Prakash |