B. Aditya Prakash

167 papers A* 50A 20B 4Misc 1Journal 72Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	AHA: Scalable Alternative History Analysis for Operational Timeseries Applications. KDD (1) Harshavardhan Kamarthi, Harshil Shah, Henry Milner, Sayan Sinha, Yan Li, B. Aditya Prakash, Vyas Sekar
2026	J	`jnl`	AHA: Scalable Alternative History Analysis for Operational Timeseries Applications. CoRR Harshavardhan Kamarthi, Harshil Shah, Henry Milner, Sayan Sinha, Yan Li, B. Aditya Prakash, Vyas Sekar
2026	J	`jnl`	Hierarchical Industrial Demand Forecasting with Temporal and Uncertainty Explanations. CoRR Harshavardhan Kamarthi, Shangqing Xu, Xinjie Tong, Xingyu Zhou, James Peters, Joseph Czyzyk, B. Aditya Prakash
2026	J	`jnl`	In-context Pre-trained Time-Series Foundation Models adapt to Unseen Tasks. CoRR Shangqing Xu, Harshavardhan Kamarthi, Haoxin Liu, B. Aditya Prakash
2026	J	`jnl`	Seeking Universal Shot Language Understanding Solutions. CoRR Haoxin Liu, Harshavardhan Kamarthi, Zhiyuan Zhao, Hongjie Chen, B. Aditya Prakash
2025	J	`jnl`	A Framework for Multi-source Privacy Preserving Epidemic Analysis. CoRR Zihan Guan, Zhiyuan Zhao, Fengwei Tian, Dung Nguyen, Payel Bhattacharjee, Ravi Tandon, B. Aditya Prakash, Anil Vullikanti
2025	—	`conf`	A Picture is Worth A Thousand Numbers: Enabling LLMs Reason about Time Series via Visualization. NAACL (Long Papers) Haoxin Liu, Chenghao Liu, B. Aditya Prakash
2025	A	`conf`	Accurately Estimating Unreported Infections using Information Theory. SDM Jiaming Cui, Bijaya Adhikari, Arash Haddadan, A. S. M. Ahsan-Ul-Haque, Jilles Vreeken, Anil Vullikanti, B. Aditya Prakash
2025	J	`jnl`	Accurately Estimating Unreported Infections using Information Theory. CoRR Jiaming Cui, Bijaya Adhikari, Arash Haddadan, A. S. M. Ahsan-Ul-Haque, Jilles Vreeken, Anil Vullikanti, B. Aditya Prakash
2025	Misc	`conf`	Automatically Surfacing Opportunities for Improvements In Internet-Scale Applications. HotNets Vipul Harsh, Sayan Sinha, Henry Milner, Haijie Wu, B. Aditya Prakash, Vyas Sekar, Hui Zhang
2025	J	`jnl`	Beyond Magic Words: Sharpness-Aware Prompt Evolving for Robust Large Language Models with TARE. CoRR Guancheng Wan, Lucheng Fu, Haoxin Liu, Yiqiao Jin, Hui Yi Leong, Eric Hanchen Jiang, Hejia Geng, Jinhe Bi, Yunpu Ma, Xiangru Tang, B. Aditya Prakash, Yizhou Sun, Wei Wang
2025	A	`conf`	DF UAI Lingkai Kong, Wenhao Mu, Jiaming Cui, Yuchen Zhuang, B. Aditya Prakash, Bo Dai, Chao Zhang
2025	A*	`conf`	EARTH: Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph. ICML Guancheng Wan, Zewen Liu, Xiaojun Shan, Max S. Y. Lau, B. Aditya Prakash, Wei Jin
2025	J	`jnl`	Evaluating System 1 vs. 2 Reasoning Approaches for Zero-Shot Time Series Forecasting: A Benchmark and Insights. CoRR Haoxin Liu, Zhiyuan Zhao, Shiduo Li, B. Aditya Prakash
2025	J	`jnl`	How Can Time Series Analysis Benefit From Multiple Modalities? A Survey and Outlook. CoRR Haoxin Liu, Harshavardhan Kamarthi, Zhiyuan Zhao, Shangqing Xu, Shiyu Wang, Qingsong Wen, Tom Hartvigsen, Fei Wang, B. Aditya Prakash
2025	J	`jnl`	Identifying and forecasting importation and asymptomatic spreaders of multi-drug resistant organisms in hospital settings. npj Digit. Medicine Jiaming Cui, Jack Heavey, Eili Y. Klein, Gregory Madden, Costi D. Sifri, Anil Vullikanti, B. Aditya Prakash
2025	A	`conf`	In-context Pre-trained Time-Series Foundation Models adapt to Unseen Tasks. CIKM Shangqing Xu, Harshavardhan Kamarthi, Haoxin Liu, B. Aditya Prakash
2025	J	`jnl`	Modular Deep-Learning-Based Early Warning System for Deadly Heatwave Prediction. CoRR Shangqing Xu, Zhiyuan Zhao, Megha Sharma, José María Martín-Olalla, Alexander Rodríguez, Gregory A. Wellenius, B. Aditya Prakash
2025	—	`conf`	Performative Time-Series Forecasting. KDD (2) Zhiyuan Zhao, Haoxin Liu, Alexander Rodríguez, B. Aditya Prakash
2025	—	`conf`	SciSoc LLM Workshop: Large Language Models for Scientific and Societal Advances. KDD (2) Wei Jin, Lu Cheng, Wenpeng Yin, Xianfeng Tang, Qingsong Wen, Danai Koutra, B. Aditya Prakash, Yan Liu
2025	J	`jnl`	TAT: Temporal-Aligned Transformer for Multi-Horizon Peak Demand Forecasting. CoRR Zhiyuan Zhao, Sitan Yang, Kin G. Olivares, Boris N. Oreshkin, Stan Vitebsky, Michael W. Mahoney, B. Aditya Prakash, Dmitry Efimov
2025	J	`jnl`	Tackling Time-Series Forecasting Generalization via Mitigating Concept Drift. CoRR Zhiyuan Zhao, Haoxin Liu, B. Aditya Prakash
2025	J	`jnl`	TimeRecipe: A Time-Series Forecasting Recipe via Benchmarking Module Level Effectiveness. CoRR Zhiyuan Zhao, Juntong Ni, Shangqing Xu, Haoxin Liu, Wei Jin, B. Aditya Prakash
2024	A*	`conf`	A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation. IJCAI Mohammad Hashemi, Shengbo Gong, Juntong Ni, Wenqi Fan, B. Aditya Prakash, Wei Jin
2024	J	`jnl`	A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation. CoRR Mohammad Hashemi, Shengbo Gong, Juntong Ni, Wenqi Fan, B. Aditya Prakash, Wei Jin
2024	J	`jnl`	A Picture is Worth A Thousand Numbers: Enabling LLMs Reason about Time Series via Visualization. CoRR Haoxin Liu, Chenghao Liu, B. Aditya Prakash
2024	A*	`conf`	A Review of Graph Neural Networks in Epidemic Modeling. KDD Zewen Liu, Guancheng Wan, B. Aditya Prakash, Max S. Y. Lau, Wei Jin
2024	J	`jnl`	A Review of Graph Neural Networks in Epidemic Modeling. CoRR Zewen Liu, Guancheng Wan, B. Aditya Prakash, Max S. Y. Lau, Wei Jin
2024	J	`jnl`	Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph. CoRR Guancheng Wan, Zewen Liu, Max S. Y. Lau, B. Aditya Prakash, Wei Jin
2024	A	`conf`	H SDM Vivek Anand, Jiaming Cui, Jack Heavey, Anil Vullikanti, B. Aditya Prakash
2024	—	`conf`	LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting. ACL (Findings) Haoxin Liu, Zhiyuan Zhao, Jindong Wang, Harshavardhan Kamarthi, B. Aditya Prakash
2024	J	`jnl`	LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting. CoRR Haoxin Liu, Zhiyuan Zhao, Jindong Wang, Harshavardhan Kamarthi, B. Aditya Prakash
2024	A*	`conf`	Large Pre-trained time series models for cross-domain Time series analysis tasks. NeurIPS Harshavardhan Kamarthi, B. Aditya Prakash
2024	A*	`conf`	Large Scale Hierarchical Industrial Demand Time-Series Forecasting incorporating Sparsity. KDD Harshavardhan Kamarthi, Aditya B. Sasanur, Xinjie Tong, Xingyu Zhou, James Peters, Joe Czyzyk, B. Aditya Prakash
2024	J	`jnl`	Large Scale Hierarchical Industrial Demand Time-Series Forecasting incorporating Sparsity. CoRR Harshavardhan Kamarthi, Aditya B. Sasanur, Xinjie Tong, Xingyu Zhou, James Peters, Joe Czyzyk, B. Aditya Prakash
2024	J	`jnl`	Learning Graph Structures and Uncertainty for Accurate and Calibrated Time-series Forecasting. CoRR Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash
2024	J	`jnl`	Machine learning for data-centric epidemic forecasting. Nat. Mac. Intell. Alexander Rodríguez, Harshavardhan Kamarthi, Pulak Agarwal, Javen Ho, Mira Patel, Suchet Sapre, B. Aditya Prakash
2024	A*	`conf`	PINNsFormer: A Transformer-Based Framework For Physics-Informed Neural Networks. ICLR Leo Zhiyuan Zhao, Xueying Ding, B. Aditya Prakash
2024	J	`jnl`	TSI-Bench: Benchmarking Time Series Imputation. CoRR Wenjie Du, Jun Wang, Linglong Qian, Yiyuan Yang, Fanxing Liu, Zepu Wang, Zina M. Ibrahim, Haoxin Liu, Zhiyuan Zhao, Yingjie Zhou, Wenjia Wang, Kaize Ding, Yuxuan Liang, B. Aditya Prakash, Qingsong Wen
2024	J	`jnl`	Time-MMD: A New Multi-Domain Multimodal Dataset for Time Series Analysis. CoRR Haoxin Liu, Shangqing Xu, Zhiyuan Zhao, Lingkai Kong, Harshavardhan Kamarthi, Aditya B. Sasanur, Megha Sharma, Jiaming Cui, Qingsong Wen, Chao Zhang, B. Aditya Prakash
2024	A*	`conf`	Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis. NeurIPS Haoxin Liu, Shangqing Xu, Zhiyuan Zhao, Lingkai Kong, Harshavardhan Kamarthi, Aditya B. Sasanur, Megha Sharma, Jiaming Cui, Qingsong Wen, Chao Zhang, B. Aditya Prakash
2024	A*	`conf`	Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning. ICML Haoxin Liu, Harshavardhan Kamarthi, Lingkai Kong, Zhiyuan Zhao, Chao Zhang, B. Aditya Prakash
2024	J	`jnl`	Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning. CoRR Haoxin Liu, Harshavardhan Kamarthi, Lingkai Kong, Zhiyuan Zhao, Chao Zhang, B. Aditya Prakash
2024	A*	`conf`	epiDAMIK 2024: The 7th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery. KDD Alexander Rodríguez, Bijaya Adhikari, Ajitesh Srivastava, Sen Pei, Marie-Laure Charpignon, Kai Wang, Serina Chang, Anil Vullikanti, B. Aditya Prakash
2023	A*	`conf`	Autoregressive Diffusion Model for Graph Generation. ICML Lingkai Kong, Jiaming Cui, Haotian Sun, Yuchen Zhuang, B. Aditya Prakash, Chao Zhang
2023	J	`jnl`	Autoregressive Diffusion Model for Graph Generation. CoRR Lingkai Kong, Jiaming Cui, Haotian Sun, Yuchen Zhuang, B. Aditya Prakash, Chao Zhang
2023	J	`jnl`	DF2: Distribution-Free Decision-Focused Learning. CoRR Lingkai Kong, Wenhao Mu, Jiaming Cui, Yuchen Zhuang, B. Aditya Prakash, Bo Dai, Chao Zhang
2023	A*	`conf`	Detecting Sources of Healthcare Associated Infections. AAAI Hankyu Jang, Andrew Fu, Jiaming Cui, Methun Kamruzzaman, B. Aditya Prakash, Anil Vullikanti, Bijaya Adhikari, Sriram V. Pemmaraju
2023	A	`conf`	Differentiable Agent-based Epidemiology. AAMAS Ayush Chopra, Alexander Rodríguez, Jayakumar Subramanian, Arnau Quera-Bofarull, Balaji Krishnamurthy, B. Aditya Prakash, Ramesh Raskar
2023	A*	`conf`	EINNs: Epidemiologically-Informed Neural Networks. AAAI Alexander Rodríguez, Jiaming Cui, Naren Ramakrishnan, Bijaya Adhikari, B. Aditya Prakash
2023	J	`jnl`	Empirical networks for localized COVID-19 interventions using WiFi infrastructure at university campuses. Frontiers Digit. Health Vedant Das Swain, Jiajia Xie, Maanit Madan, Sonia Sargolzaei, James Cai, Munmun De Choudhury, Gregory D. Abowd, Lauren N. Steimle, B. Aditya Prakash
2023	J	`jnl`	Large Pre-trained time series models for cross-domain Time series analysis tasks. CoRR Harshavardhan Kamarthi, B. Aditya Prakash
2023	J	`jnl`	PEMS: Pre-trained Epidemic Time-series Models. CoRR Harshavardhan Kamarthi, B. Aditya Prakash
2023	J	`jnl`	PINNsFormer: A Transformer-Based Framework For Physics-Informed Neural Networks. CoRR Leo Zhiyuan Zhao, Xueying Ding, B. Aditya Prakash
2023	J	`jnl`	Performative Time-Series Forecasting. CoRR Zhiyuan Zhao, Alexander Rodríguez, B. Aditya Prakash
2023	B	`ed.`	Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2023, Kusadasi, Turkey, November 6-9, 2023 ASONAM B. Aditya Prakash, Dong Wang, Tim Weninger
2023	A*	`conf`	Uncertainty Quantification in Deep Learning. KDD Lingkai Kong, Harshavardhan Kamarthi, Peng Chen, B. Aditya Prakash, Chao Zhang
2023	A*	`conf`	When Rigidity Hurts: Soft Consistency Regularization for Probabilistic Hierarchical Time Series Forecasting. KDD Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash
2023	A*	`conf`	epiDAMIK 6.0: The 6th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery. KDD Bijaya Adhikari, Alexander Rodríguez, Amulya Yadav, Sen Pei, Ajitesh Srivastava, Marie-Laure Charpignon, Anil Vullikanti, B. Aditya Prakash
2022	A*	`conf`	Back2Future: Leveraging Backfill Dynamics for Improving Real-time Predictions in Future. ICLR Harshavardhan Kamarthi, Alexander Rodríguez, B. Aditya Prakash
2022	A*	`conf`	CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting. WWW Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash
2022	J	`jnl`	Data-Centric Epidemic Forecasting: A Survey. CoRR Alexander Rodríguez, Harshavardhan Kamarthi, Pulak Agarwal, Javen Ho, Mira Patel, Suchet Sapre, B. Aditya Prakash
2022	J	`jnl`	Differentiable Agent-based Epidemiology. CoRR Ayush Chopra, Alexander Rodríguez, Jayakumar Subramanian, Balaji Krishnamurthy, B. Aditya Prakash, Ramesh Raskar
2022	J	`jnl`	EINNs: Epidemiologically-Informed Neural Networks. CoRR Alexander Rodríguez, Jiaming Cui, Naren Ramakrishnan, Bijaya Adhikari, B. Aditya Prakash
2022	J	`jnl`	End-to-End Stochastic Optimization with Energy-Based Model. CoRR Lingkai Kong, Jiaming Cui, Yuchen Zhuang, Rui Feng, B. Aditya Prakash, Chao Zhang
2022	A*	`conf`	End-to-end Stochastic Optimization with Energy-based Model. NeurIPS Lingkai Kong, Jiaming Cui, Yuchen Zhuang, Rui Feng, B. Aditya Prakash, Chao Zhang
2022	A*	`conf`	Epidemic Forecasting with a Data-Centric Lens. KDD Alexander Rodríguez, Harshavardhan Kamarthi, B. Aditya Prakash
2022	J	`jnl`	PROFHIT: Probabilistic Robust Forecasting for Hierarchical Time-series. CoRR Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash
2022	A*	`conf`	Provable Sensor Sets for Epidemic Detection over Networks with Minimum Delay. AAAI Jack Heavey, Jiaming Cui, Chen Chen, B. Aditya Prakash, Anil Vullikanti
2022	A*	`conf`	epiDAMIK 5.0: The 5th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery. KDD Bijaya Adhikari, Amulya Yadav, Sen Pei, Ajitesh Srivastava, Sarah Kefayati, Alexander Rodríguez, Marie-Laure Charpignon, Anil Vullikanti, B. Aditya Prakash
2021	A	`conf`	Actionable Insights in Urban Multivariate Time-series. CIKM Anika Tabassum, Supriya Chinthavali, Varisara Tansakul, B. Aditya Prakash
2021	J	`jnl`	Back2Future: Leveraging Backfill Dynamics for Improving Real-time Predictions in Future. CoRR Harshavardhan Kamarthi, Alexander Rodríguez, B. Aditya Prakash
2021	J	`jnl`	CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting. CoRR Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash
2021	A*	`conf`	DeepCOVID: An Operational Deep Learning-driven Framework for Explainable Real-time COVID-19 Forecasting. AAAI Alexander Rodríguez, Anika Tabassum, Jiaming Cui, Jiajia Xie, Javen Ho, Pulak Agarwal, Bijaya Adhikari, B. Aditya Prakash
2021	—	`conf`	Efficient Contingency Analysis in Power Systems via Network Trigger Nodes. IEEE BigData Anika Tabassum, Supriya Chinthavali, Sangkeun Lee, Nils M. Stenvig, Bill Kay, P. Teja Kuruganti, B. Aditya Prakash
2021	J	`jnl`	Incorporating Expert Guidance in Epidemic Forecasting. CoRR Alexander Rodríguez, Bijaya Adhikari, Naren Ramakrishnan, B. Aditya Prakash
2021	A*	`conf`	Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19. AAAI Alexander Rodríguez, Nikhil Muralidhar, Bijaya Adhikari, Anika Tabassum, Naren Ramakrishnan, B. Aditya Prakash
2021	A*	`conf`	The 4th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery (epiDAMIK 4.0 @ KDD2021). KDD Bijaya Adhikari, Ajitesh Srivastava, Sen Pei, Sarah Kefayati, Rose Yu, Amulya Yadav, Alexander Rodríguez, Arvind Ramanathan, Anil Vullikanti, B. Aditya Prakash
2021	A*	`conf`	When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting. NeurIPS Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash
2021	J	`jnl`	When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting. CoRR Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash
2020	J	`jnl`	Cut-n-Reveal: Time Series Segmentations with Explanations. ACM Trans. Intell. Syst. Technol. Nikhil Muralidhar, Anika Tabassum, Liangzhe Chen, Supriya Chinthavali, Naren Ramakrishnan, B. Aditya Prakash
2020	A	`conf`	Designing Effective and Practical Interventions to Contain Epidemics. AAMAS Prathyush Sambaturu, Bijaya Adhikari, B. Aditya Prakash, Srinivasan Venkatramanan, Anil Vullikanti
2020	A*	`ed.`	KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, CA, USA, August 23-27, 2020 KDD Rajesh Gupta, Yan Liu, Jiliang Tang, B. Aditya Prakash
2020	J	`jnl`	Mapping Network States Using Connectivity Queries. CoRR Alexander Rodríguez, Bijaya Adhikari, Andrés D. González, Charles D. Nicholson, Anil Vullikanti, B. Aditya Prakash
2020	—	`conf`	Mapping Network States using Connectivity Queries. IEEE BigData Alexander Rodríguez, Bijaya Adhikari, Andrés D. González, Charles D. Nicholson, Anil Vullikanti, B. Aditya Prakash
2020	J	`jnl`	NetReAct: Interactive Learning for Network Summarization. CoRR Sorour E. Amiri, Bijaya Adhikari, John E. Wenskovitch, Alexander Rodríguez, Michelle Dowling, Chris North, B. Aditya Prakash
2020	J	`jnl`	Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19. CoRR Alexander Rodríguez, Nikhil Muralidhar, Bijaya Adhikari, Anika Tabassum, Naren Ramakrishnan, B. Aditya Prakash
2019	J	`jnl`	Data-driven efficient network and surveillance-based immunization. Knowl. Inf. Syst. Yao Zhang, Arvind Ramanathan, Anil Vullikanti, Laura Pullum, B. Aditya Prakash
2019	A*	`conf`	EpiDeep: Exploiting Embeddings for Epidemic Forecasting. KDD Bijaya Adhikari, Xinfeng Xu, Naren Ramakrishnan, B. Aditya Prakash
2019	J	`jnl`	Fast and near-optimal monitoring for healthcare acquired infection outbreaks. PLoS Comput. Biol. Bijaya Adhikari, Bryan L. Lewis, Anil Vullikanti, José M. Jiménez, B. Aditya Prakash
2019	A	`conf`	Joint Post and Link-level Influence Modeling on Social Media. SDM Liangzhe Chen, B. Aditya Prakash
2019	J	`jnl`	Tracking and analyzing dynamics of news-cycles during global pandemics: a historical perspective. SIGKDD Explor. Sorour E. Amiri, Anika Tabassum, E. Thomas Ewing, B. Aditya Prakash
2018	A*	`conf`	Automatic Segmentation of Data Sequences. AAAI Liangzhe Chen, Sorour E. Amiri, B. Aditya Prakash
2018	J	`jnl`	Automatic Segmentation of Dynamic Network Sequences with Node Labels. IEEE Trans. Knowl. Data Eng. Sorour E. Amiri, Liangzhe Chen, B. Aditya Prakash
2018	A*	`conf`	DeepDiffuse: Predicting the 'Who' and 'When' in Cascades. ICDM Mohammad Raihanul Islam, Sathappan Muthiah, Bijaya Adhikari, B. Aditya Prakash, Naren Ramakrishnan
2018	J	`jnl`	Efficiently summarizing attributed diffusion networks. Data Min. Knowl. Discov. Sorour E. Amiri, Liangzhe Chen, B. Aditya Prakash
2018	A*	`conf`	Mining E-Commerce Query Relations using Customer Interaction Networks. WWW Bijaya Adhikari, Parikshit Sondhi, Wenke Zhang, Mohit Sharma, B. Aditya Prakash
2018	A	`conf`	Near-Optimal Mapping of Network States using Probes. SDM Bijaya Adhikari, Pavan Rangudu, B. Aditya Prakash, Anil Vullikanti
2018	A*	`conf`	NetGist: Learning to Generate Task-Based Network Summaries. ICDM Sorour E. Amiri, Bijaya Adhikari, Aditya Bharadwaj, B. Aditya Prakash
2018	J	`jnl`	Propagation-Based Temporal Network Summarization. IEEE Trans. Knowl. Data Eng. Bijaya Adhikari, Yao Zhang, Sorour E. Amiri, Aditya Bharadwaj, B. Aditya Prakash
2018	—	`conf`	SIGNet: Scalable Embeddings for Signed Networks. PAKDD (2) Mohammad Raihanul Islam, B. Aditya Prakash, Naren Ramakrishnan
2018	—	`conf`	Sub2Vec: Feature Learning for Subgraphs. PAKDD (2) Bijaya Adhikari, Yao Zhang, Naren Ramakrishnan, B. Aditya Prakash
2017	A	`conf`	Condensing Temporal Networks using Propagation. SDM Bijaya Adhikari, Yao Zhang, Aditya Bharadwaj, B. Aditya Prakash
2017	A*	`conf`	Data-Driven Immunization. ICDM Yao Zhang, Arvind Ramanathan, Anil Vullikanti, Laura L. Pullum, B. Aditya Prakash
2017	A*	`conf`	Detecting Large Reshare Cascades in Social Networks. WWW Karthik Subbian, B. Aditya Prakash, Lada A. Adamic
2017	J	`jnl`	Distributed Representation of Subgraphs. CoRR Bijaya Adhikari, Yao Zhang, Naren Ramakrishnan, B. Aditya Prakash
2017	—	`conf`	Distributed Representations of Subgraphs. ICDM Workshops Bijaya Adhikari, Yao Zhang, Naren Ramakrishnan, B. Aditya Prakash
2017	A	`conf`	HotSpots: Failure Cascades on Heterogeneous Critical Infrastructure Networks. CIKM Liangzhe Chen, Xinfeng Xu, Sangkeun Lee, Sisi Duan, Alfonso G. Tarditi, Supriya Chinthavali, B. Aditya Prakash
2017	A	`conf`	MeiKe: Influence-based Communities in Networks. SDM Yao Zhang, Bijaya Adhikari, Steve T. K. Jan, B. Aditya Prakash
2017	J	`jnl`	Nonlinear Dynamics of Information Diffusion in Social Networks. ACM Trans. Web Yasuko Matsubara, Yasushi Sakurai, B. Aditya Prakash, Lei Li, Christos Faloutsos
2017	A*	`conf`	SnapNETS: Automatic Segmentation of Network Sequences with Node Labels. AAAI Sorour E. Amiri, Liangzhe Chen, B. Aditya Prakash
2017	J	`jnl`	Understanding the Relationship between Human Behavior and Susceptibility to Cyber Attacks: A Data-Driven Approach. ACM Trans. Intell. Syst. Technol. Michael Ovelgönne, Tudor Dumitras, B. Aditya Prakash, V. S. Subrahmanian, Benjamin Wang
2016	J	`jnl`	Current and Future Challenges in Mining Large Networks: Report on the Second SDM Workshop on Mining Networks and Graphs. SIGKDD Explor. Lawrence B. Holder, Rajmonda Sulo Caceres, David F. Gleich, E. Jason Riedy, Maleq Khan, Nitesh V. Chawla, Ravi Kumar, Yinghui Wu, Christine Klymko, Tina Eliassi-Rad, B. Aditya Prakash
2016	J	`jnl`	Eigen-Optimization on Large Graphs by Edge Manipulation. ACM Trans. Knowl. Discov. Data Chen Chen, Hanghang Tong, B. Aditya Prakash, Tina Eliassi-Rad, Michalis Faloutsos, Christos Faloutsos
2016	A	`conf`	Ensemble Models for Data-driven Prediction of Malware Infections. WSDM Chanhyun Kang, Noseong Park, B. Aditya Prakash, Edoardo Serra, V. S. Subrahmanian
2016	J	`jnl`	Forecasting the Flu: Designing Social Network Sensors for Epidemics. CoRR Huijuan Shao, K. S. M. Tozammel Hossain, Hao Wu, Maleq Khan, Anil Vullikanti, B. Aditya Prakash, Madhav V. Marathe, Naren Ramakrishnan
2016	A*	`conf`	Leveraging Propagation for Data Mining: Models, Algorithms and Applications. KDD B. Aditya Prakash, Naren Ramakrishnan
2016	J	`jnl`	Near-Optimal Algorithms for Controlling Propagation at Group Scale on Networks. IEEE Trans. Knowl. Data Eng. Yao Zhang, Abhijin Adiga, Sudip Saha, Anil Vullikanti, B. Aditya Prakash
2016	J	`jnl`	Node Immunization on Large Graphs: Theory and Algorithms. IEEE Trans. Knowl. Data Eng. Chen Chen, Hanghang Tong, B. Aditya Prakash, Charalampos E. Tsourakakis, Tina Eliassi-Rad, Christos Faloutsos, Duen Horng Chau
2016	J	`jnl`	Prediction Using Propagation: From Flu Trends to Cybersecurity. IEEE Intell. Syst. B. Aditya Prakash
2016	A*	`conf`	Reconstructing an Epidemic Over Time. KDD Polina Rozenshtein, Aristides Gionis, B. Aditya Prakash, Jilles Vreeken
2016	—	`conf`	Segmenting Sequences of Node-Labeled Graphs. ICDM Workshops Sorour E. Amiri, Liangzhe Chen, B. Aditya Prakash
2016	J	`jnl`	Syndromic surveillance of Flu on Twitter using weakly supervised temporal topic models. Data Min. Knowl. Discov. Liangzhe Chen, K. S. M. Tozammel Hossain, Patrick Butler, Naren Ramakrishnan, B. Aditya Prakash
2016	—	`conf`	URBAN-NET: A network-based infrastructure monitoring and analysis system for emergency management and public safety. IEEE BigData Sangkeun Lee, Liangzhe Chen, Sisi Duan, Supriya Chinthavali, Mallikarjun Shankar, B. Aditya Prakash
2016	A	`conf`	Unstable Communities in Network Ensembles. SDM Ahsanur Rahman, Steve T. K. Jan, Hyunju Kim, B. Aditya Prakash, T. M. Murali
2015	A	`conf`	Approximation Algorithms for Reducing the Spectral Radius to Control Epidemic Spread. SDM Sudip Saha, Abhijin Adiga, B. Aditya Prakash, Anil Kumar S. Vullikanti
2015	J	`jnl`	Approximation Algorithms for Reducing the Spectral Radius to Control Epidemic Spread. CoRR Sudip Saha, Abhijin Adiga, B. Aditya Prakash, Anil Kumar S. Vullikanti
2015	A*	`conf`	Controlling Propagation at Group Scale on Networks. ICDM Yao Zhang, Abhijin Adiga, Anil Vullikanti, B. Aditya Prakash
2015	J	`jnl`	Data-Aware Vaccine Allocation Over Large Networks. ACM Trans. Knowl. Discov. Data Yao Zhang, B. Aditya Prakash
2015	—	`ch.`	Graph Mining for Cyber Security. Cyber Warfare B. Aditya Prakash
2015	A	`conf`	Hidden Hazards: Finding Missing Nodes in Large Graph Epidemics. SDM Shashidhar Sundareisan, Jilles Vreeken, B. Aditya Prakash
2015	—	`conf`	Mining Unstable Communities from Network Ensembles. ICDM Workshops Ahsanur Rahman, Steve T. K. Jan, Hyunju Kim, B. Aditya Prakash, T. M. Murali
2015	—	`book`	The Global Cyber-Vulnerability Report V. S. Subrahmanian, Michael Ovelgönne, Tudor Dumitras, B. Aditya Prakash
2014	A	`conf`	DAVA: Distributing Vaccines over Networks under Prior Information. SDM Yao Zhang, B. Aditya Prakash
2014	J	`jnl`	Efficiently spotting the starting points of an epidemic in a large graph. Knowl. Inf. Syst. B. Aditya Prakash, Jilles Vreeken, Christos Faloutsos
2014	A*	`conf`	Fast influence-based coarsening for large networks. KDD Manish Purohit, B. Aditya Prakash, Chanhyun Kang, Yao Zhang, V. S. Subrahmanian
2014	A*	`conf`	Flu Gone Viral: Syndromic Surveillance of Flu on Twitter Using Temporal Topic Models. ICDM Liangzhe Chen, K. S. M. Tozammel Hossain, Patrick Butler, Naren Ramakrishnan, B. Aditya Prakash
2014	A*	`conf`	Modeling mass protest adoption in social network communities using geometric brownian motion. KDD Fang Jin, Rupinder Paul Khandpur, Nathan Self, Edward R. Dougherty, Sheng Guo, Feng Chen, B. Aditya Prakash, Naren Ramakrishnan
2014	B	`conf`	SansText: Classifying temporal topic dynamics of Twitter cascades without tweet text. ASONAM Shashidhar Sundereisan, Abhay Bhadriraju, M. Saquib Khan, Naren Ramakrishnan, B. Aditya Prakash
2014	A	`conf`	Scalable Vaccine Distribution in Large Graphs given Uncertain Data. CIKM Yao Zhang, B. Aditya Prakash
2014	J	`jnl`	SharkFin: Spatio-temporal mining of software adoption and penetration. Soc. Netw. Anal. Min. Evangelos E. Papalexakis, Tudor Dumitras, Duen Horng Chau, B. Aditya Prakash, Christos Faloutsos
2013	J	`jnl`	Competing Memes Propagation on Networks: A Network Science Perspective. IEEE J. Sel. Areas Commun. Xuetao Wei, Nicholas Valler, B. Aditya Prakash, Iulian Neamtiu, Michalis Faloutsos, Christos Faloutsos
2013	A	`conf`	Fractional Immunization in Networks. SDM Lada A. Adamic, Christos Faloutsos, Theodore J. Iwashyna, B. Aditya Prakash, Hanghang Tong
2013	—	`conf`	Patterns amongst Competing Task Frequencies: Super-Linearities, and the Almond-DG Model. PAKDD (1) Danai Koutra, Vasileios Koutras, B. Aditya Prakash, Christos Faloutsos
2013	—	`conf`	Smartphone viruses propagation on heterogeneous composite networks. NSW Xuetao Wei, Nicholas Valler, Michalis Faloutsos, Iulian Neamtiu, B. Aditya Prakash, Christos Faloutsos
2013	B	`conf`	Spatio-temporal mining of software adoption & penetration. ASONAM Evangelos E. Papalexakis, Tudor Dumitras, Duen Horng (Polo) Chau, B. Aditya Prakash, Christos Faloutsos
2012	J	`jnl`	Competing memes propagation on networks: a case study of composite networks. Comput. Commun. Rev. Xuetao Wei, Nicholas Valler, B. Aditya Prakash, Iulian Neamtiu, Michalis Faloutsos, Christos Faloutsos
2012	A	`conf`	Gelling, and melting, large graphs by edge manipulation. CIKM Hanghang Tong, B. Aditya Prakash, Tina Eliassi-Rad, Michalis Faloutsos, Christos Faloutsos
2012	A*	`conf`	Interacting viruses in networks: can both survive? KDD Alex Beutel, B. Aditya Prakash, Roni Rosenfeld, Christos Faloutsos
2012	J	`jnl`	Propagation and immunization in large networks. XRDS B. Aditya Prakash
2012	A*	`conf`	Rise and fall patterns of information diffusion: model and implications. KDD Yasuko Matsubara, Yasushi Sakurai, B. Aditya Prakash, Lei Li, Christos Faloutsos
2012	A*	`conf`	Spotting Culprits in Epidemics: How Many and Which Ones? ICDM B. Aditya Prakash, Jilles Vreeken, Christos Faloutsos
2012	J	`jnl`	Threshold conditions for arbitrary cascade models on arbitrary networks. Knowl. Inf. Syst. B. Aditya Prakash, Deepayan Chakrabarti, Nicholas Valler, Michalis Faloutsos, Christos Faloutsos
2012	J	`jnl`	Understanding and Managing Cascades on Large Graphs. Proc. VLDB Endow. B. Aditya Prakash, Christos Faloutsos
2012	A*	`conf`	Winner takes all: competing viruses or ideas on fair-play networks. WWW B. Aditya Prakash, Alex Beutel, Roni Rosenfeld, Christos Faloutsos
2011	B	`conf`	Epidemic Spread in Mobile Ad Hoc Networks: Determining the Tipping Point. Networking (1) Nicholas Valler, B. Aditya Prakash, Hanghang Tong, Michalis Faloutsos, Christos Faloutsos
2011	A*	`conf`	Threshold Conditions for Arbitrary Cascade Models on Arbitrary Networks. ICDM B. Aditya Prakash, Deepayan Chakrabarti, Michalis Faloutsos, Nicholas Valler, Christos Faloutsos
2011	A*	`conf`	Time Series Clustering: Complex is Simpler! ICML Lei Li, B. Aditya Prakash
2010	—	`conf`	EigenSpokes: Surprising Patterns and Scalable Community Chipping in Large Graphs. PAKDD (2) B. Aditya Prakash, Ashwin Sridharan, Mukund Seshadri, Sridhar Machiraju, Christos Faloutsos
2010	A*	`conf`	Metric forensics: a multi-level approach for mining volatile graphs. KDD Keith Henderson, Tina Eliassi-Rad, Christos Faloutsos, Leman Akoglu, Lei Li, Koji Maruhashi, B. Aditya Prakash, Hanghang Tong
2010	A*	`conf`	On the Vulnerability of Large Graphs. ICDM Hanghang Tong, B. Aditya Prakash, Charalampos E. Tsourakakis, Tina Eliassi-Rad, Christos Faloutsos, Duen Horng Chau
2010	J	`jnl`	Parsimonious Linear Fingerprinting for Time Series. Proc. VLDB Endow. Lei Li, B. Aditya Prakash, Christos Faloutsos
2010	—	`conf`	Virus Propagation on Time-Varying Networks: Theory and Immunization Algorithms. ECML/PKDD (3) B. Aditya Prakash, Hanghang Tong, Nicholas Valler, Michalis Faloutsos, Christos Faloutsos
2009	A*	`conf`	BGP-lens: patterns and anomalies in internet routing updates. KDD B. Aditya Prakash, Nicholas Valler, David G. Andersen, Michalis Faloutsos, Christos Faloutsos
2009	—	`conf`	EigenSpokes: Surprising Patterns and Scalable Community Chipping in Large Graphs. ICDM Workshops B. Aditya Prakash, Mukund Seshadri, Ashwin Sridharan, Sridhar Machiraju, Christos Faloutsos
2009	J	`jnl`	FRAPP: a framework for high-accuracy privacy-preserving mining. Data Min. Knowl. Discov. Shipra Agrawal, Jayant R. Haritsa, B. Aditya Prakash
2007	A*	`conf`	Complex Group-By Queries for XML. ICDE Chaitanya Gokhale, Nitin Gupta, Pranav Kumar, Laks V. S. Lakshmanan, Raymond T. Ng, B. Aditya Prakash