Bijaya Adhikari

55 papers A* 17A 8B 2Journal 16Unranked 11
YearRankTypeTitle / Venue / Authors
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 J jnl
Analyzing greedy vaccine allocation algorithms for metapopulation disease models.
PLoS Comput. Biol.
Jeffrey Keithley, Akash Choudhuri, Bijaya Adhikari, Sriram V. Pemmaraju
2025 A conf
Conformal Edge-Weight Prediction in Latent Space.
SDM
Akash Choudhuri, Yongjian Zhong, Mehrdad Moharrami, Christine Klymko, Mark Heimann, Jayaraman J. Thiagarajan, Bijaya Adhikari
2025 A conf
Domain Knowledge Augmented Contrastive Learning on Dynamic Hypergraphs for Improved Health Risk Prediction.
SDM
Akash Choudhuri, Hieu Vu, Kishlay Jha, Bijaya Adhikari
2025 B conf
Implicit Hypergraph Neural Network.
IEEE Big Data
Akash Choudhuri, Yongjian Zhong, Bijaya Adhikari
2025 J jnl
Implicit Hypergraph Neural Network.
CoRR
Akash Choudhuri, Yongjian Zhong, Bijaya Adhikari
2025 A* conf
Implicit Subgraph Neural Network.
ICML
Yongjian Zhong, Liao Zhu, Hieu Vu, Bijaya Adhikari
2025 — conf
TempoBiGen: A Curated Generative Model for Healthcare Mobility Logs with Visit Duration.
ECML/PKDD (9)
Hieu Vu, Alberto M. Segre, Bijaya Adhikari
2024 A* conf
Efficient and Effective Implicit Dynamic Graph Neural Network.
KDD
Yongjian Zhong, Hieu Vu, Tianbao Yang, Bijaya Adhikari
2024 J jnl
Efficient and Effective Implicit Dynamic Graph Neural Network.
CoRR
Yongjian Zhong, Hieu Vu, Tianbao Yang, Bijaya Adhikari
2024 — conf
End-to-End Risk-Aware Reinforcement Learning to Detect Asymptomatic Cases in Healthcare Facilities.
ICHI
Yongjian Zhong, Weiyu Huang, Bijaya Adhikari
2024 — conf
Learning to Rank Complex Biomedical Hypotheses for Accelerating Scientific Discovery.
ICHI
Juncheng Ding, Shailesh Dahal, Bijaya Adhikari, Kishlay Jha
2024 — conf
Summarizing Clinical Notes using LLMs for ICU Bounceback and Length-of-Stay Prediction.
ICDM (Workshops)
Akash Choudhuri, Philip Polgreen, Alberto M. Segre, Bijaya Adhikari
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 — conf
Cad2graph: Automated Extraction of Spatial Graphs from Architectural Drawings.
ECML/PKDD (7)
Pratik Maitra, Masahiro Kiji, Talal Riaz, Philip M. Polgreen, Alberto M. Segre, Sriram V. Pemmaraju, Bijaya Adhikari
2023 A conf
Continually-Adaptive Representation Learning Framework for Time-Sensitive Healthcare Applications.
CIKM
Akash Choudhuri, Hankyu Jang, Alberto M. Segre, Philip M. Polgreen, Kishlay Jha, Bijaya Adhikari
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 J jnl
Dynamic Healthcare Embeddings for Improving Patient Care.
CoRR
Hankyu Jang, Sulyun Lee, D. M. Hasibul Hasan, Philip M. Polgreen, Sriram V. Pemmaraju, Bijaya Adhikari
2023 A* conf
EINNs: Epidemiologically-Informed Neural Networks.
AAAI
Alexander Rodríguez, Jiaming Cui, Naren Ramakrishnan, Bijaya Adhikari, 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 B conf
Dynamic Healthcare Embeddings for Improving Patient Care.
ASONAM
Hankyu Jang, Sulyun Lee, D. M. Hasibul Hasan, Philip M. Polgreen, Sriram V. Pemmaraju, Bijaya Adhikari
2022 J jnl
EINNs: Epidemiologically-Informed Neural Networks.
CoRR
Alexander Rodríguez, Jiaming Cui, Naren Ramakrishnan, Bijaya Adhikari, B. Aditya Prakash
2022 A* conf
Near-Optimal Spectral Disease Mitigation in Healthcare Facilities.
ICDM
Masahiro Kiji, D. M. Hasibul Hasan, Alberto M. Segre, Sriram V. Pemmaraju, Bijaya Adhikari
2022 J jnl
Risk-aware temporal cascade reconstruction to detect asymptomatic cases.
Knowl. Inf. Syst.
Hankyu Jang, Shreyas Pai, Bijaya Adhikari, Sriram V. Pemmaraju
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
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 A* conf
Finding Needles in Heterogeneous Haystacks.
AAAI
Bijaya Adhikari, Liangyue Li, Nikhil Rao, Karthik Subbian
2021 J jnl
Incorporating Expert Guidance in Epidemic Forecasting.
CoRR
Alexander Rodríguez, Bijaya Adhikari, Naren Ramakrishnan, B. Aditya Prakash
2021 — conf
Modeling and Evaluation of Clustering Patient Care into Bubbles.
ICHI
D. M. Hasibul Hasan, Alex Rohwer, Hankyu Jang, Ted Herman, Philip M. Polgreen, Daniel K. Sewell, Bijaya Adhikari, Sriram V. Pemmaraju
2021 J jnl
Modeling and Evaluation of Clustering Patient Care into Bubbles.
CoRR
D. M. Hasibul Hasan, Alex Rohwer, Hankyu Jang, Ted Herman, Philip M. Polgreen, Daniel K. Sewell, Bijaya Adhikari, Sriram V. Pemmaraju
2021 A* conf
Risk-aware Temporal Cascade Reconstruction to Detect Asymptomatic Cases : For the CDC MInD Healthcare Network.
ICDM
Hankyu Jang, Shreyas Pai, Bijaya Adhikari, Sriram V. Pemmaraju
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
2020 A conf
Designing Effective and Practical Interventions to Contain Epidemics.
AAMAS
Prathyush Sambaturu, Bijaya Adhikari, B. Aditya Prakash, Srinivasan Venkatramanan, Anil Vullikanti
2020 — —
Domain-based Frameworks and Embeddings for Dynamics over Networks.
Bijaya Adhikari
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 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
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 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
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 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
MeiKe: Influence-based Communities in Networks.
SDM
Yao Zhang, Bijaya Adhikari, Steve T. K. Jan, B. Aditya Prakash
2014 J jnl
Analysis of MultiLayer Neural Networks with Direct and Cross Forward Connection.
Fundam. Informaticae
Stanislaw Placzek, Bijaya Adhikari
2014 — conf
Coordination Algorithm in Hierarchical Structure of the Learning Process of Artificial Neural Network.
CS&P
Stanislaw Placzek, Bijaya Adhikari
2013 — conf
Analysis of Multilayer Neural Networks with Direct and Cross-Forward Connection.
CS&P
Stanislaw Placzek, Bijaya Adhikari