Publications

2024

• End-to-End Risk-aware Reinforcement Learning to Detect Asymptomatic Cases in Healthcare Facilities [To appear]
  Yongjian Zhong, Weiyu Huang and Bijaya Adhikari. IEEE International Conference on Healthcare Informatics (ICHI 2024), June 2024, Orlando, FL .

• Learning to Rank Complex Biomedical Hypotheses for Accelerating Scientific Discovery [To appear]
  Juncheng Ding, Shailesh Dahal, Bijaya Adhikari and Kishlay Jha. IEEE International Conference on Healthcare Informatics (ICHI 2024), June 2024, Orlando, FL .

2023

• Continually-Adaptive Representation Learning Framework for Time-Sensitive Healthcare Applications [PDF][CODE][SLIDES]
  Akash Choudhuri, Hankyu Jang, Alberto M. Segre, Philip M. Polgreen, Kishlay Jha and Bijaya Adhikari. ACM International Conference on Information and Knowledge Management (CIKM 2023), October 2023, Birmingham, UK.

• CAD2GRAPH: Automated Extraction of Spatial Graphs from Architectural Drawings [PDF] [DEMO]
  Pratik Maitra, Masahiro Kiji, Talal Riaz, Philip M. Polgreen, Alberto M. Segre, Sriram Pemmaraju and Bijaya Adhikari. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2023), September 2023, Torino, Italy.

• Challenges in Forecasting Antimicrobial Resistance [PDF]
  Sen Pei, Seth Blumberg, Jaime Cascante Vega, Tal Robin, Yue Zhang, Richard J. Medford,Bijaya Adhikari, and Jeffrey Shaman. Emerging Infectious Diseases, 2023.

• Detecting Sources of Healthcare Associated Infections [PDF] [CODE] [SLIDES]
  Hangkyu Jang, Andrew Fu, Jiaming Cui, Methun Kamruzzaman, B. Aditya Prakash, Anil Vullikanti, Bijaya Adhikari and Sriram Pemmaraju. AAAI Conference on Artificial Intelligence. (AAAI 2023). Feb 2023, Washinton, DC.

• EINNs: Epidemiologically-Informed Neural Networks [PDF]
  Alexander Rodriguez, Jiaming Cui, Naren Ramakrishnan, Bijaya Adhikari and B. Aditya Prakash. AAAI Conference on Artificial Intelligence. (AAAI 2023). Feb 2023, Washinton, DC.

2022

• Near-Optimal Spectral Disease Mitigation in Healthcare Facilities. [PDF] [CODE][SLIDES]
  Masahiro Kiji, D.M. Hasibul Hasan, Alberto M. Segre, Sriram Pemmaraju, and Bijaya Adhikari. IEEE International Conference on Data Mining, 2022. (ICDM 2022), Nov 2022, Orlando, FL.

• Dynamic Healthcare Embeddings for Improving Patient Care. [PDF] [CODE][SLIDES]
  Hankyu Jang, Sulyun Lee, D. M. Hasibul Hasan, Philip M. Polgreen, Sriram V. Pemmaraju and Bijaya Adhikari. IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. (ASONAM 2022), Nov 2022, Istanbul, Turkey.
  Best Student Paper (runner-up)

• Risk-aware Temporal Cascade Reconstruction to Detect Asymptomatic Cases. [PDF][CODE]
  Hankyu Jang, Shreyas Pai, Bijaya Adhikari, and Sriram V. Pemmaraju. Knowledge and Information System (KAIS 2022), Sep 2022.

• Evaluation of Individual and Ensemble Probabilistic Forecasts of COVID-19 Mortality in the United States [PDF]
  with Estee Y Cramer, Evan L Ray et. al. Proceedings of the National Academy of Sciences (PNAS 2022), April 2022.

2021

• Risk-aware Temporal Cascade Reconstruction to Detect Asymptomatic Cases. [PDF] [CODE][SLIDES]
  Hankyu Jang, Shreyas Pai, Bijaya Adhikari, and Sriram V. Pemmaraju. IEEE International Conference on Data Mining. (ICDM 2021), Nov 2021, Virtual.
  Selected among ICDM best papers (Invited to KAIS Special Issue)

• Modeling and Evaluation of Clustering Patient Care into Bubbles. [PDF]
  D.M. Hasibul Hasan, Alex Rohwer, Hankyu Jang, Ted Herman, Philip Polgreen, Daniel Sewell, Bijaya Adhikari and Sriram Pemmaraju. IEEE International Conference of Healthcare Informatics. (ICHI 2021), Aug 2021, Virtual.

• Finding Needles in Heterogeneous Haystacks. [PDF]
  Bijaya Adhikari, Liangyue Li, Nikhil Rao and Karthik Subbian. Annual Conference on Innovative Applications of Artifical Intelligence (IAAI 2021), Feb 2021, Virtual.

• DeepCOVID: An Operational Deep Learning-driven Framework for Explainable Real-time COVID-19 Forecasting. [PDF]
  Alexander Rodríguez, Anika Tabassum, Jiaming Cui, Jiajia Xie, Javen Ho, Pulak Agarwal, Bijaya Adhikari and B. Aditya Prakash. Annual Conference on Innovative Applications of Artifical Intelligence (IAAI 2021), Feb 2021, Virtual.

• Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19 [PDF]
  Alexander Rodríguez, Nikhil Muralidhar, Bijaya Adhikari, Anika Tabassum, Naren Ramakrishnan and B. Aditya Prakash. AAAI Conference on AI (AAAI 2021), Feb 2021, Virtual.
  [* also published in NuerIPS 2020 MLPH workshop]

2020 and Earlier

• NetReAct: Interactive Learning for Network Summarization[PDF]
  Sorour E. Amiri, Bijaya Adhikari, John Wenskovitch, Alexander Rodriguez, Michelle Dowling, Chris North, and B. Aditya Prakash. NeurIPS 2020 Human and Model in the Loop Evaluation and Training Strategies (HAMLETS) Workshop, December 2020, Virtual.

• Mapping Network States using Connectivity Queries [PDF]
  Alexander Rodriguez, Bijaya Adhikari, Andres Gonzalez, Charles Nicholson, Anil Vullikanti, and B. Aditya Prakash
  IEEE International Conference on BigData (BigData 2020), December 2020, Virtual.
  [* also published in NeurIPS 2020 AI+HADR workshop]

• Incorporating Expert Guidance in Epidemic Forecasting [PDF]
  Alexander Rodriguez, Bijaya Adhikari, Naren Ramakrishnan, and B. Aditya Prakash. SIGKDD Epidemilogy meets Data Mining and Knowledge Discovery workshop (epidDAMIK 3.0), San Diego, 2020.

• Designing Effective and Practical Interventions to Contain Epidemics [PDF] [SLIDES]
  Prathyush Sambaturu, Bijaya Adhikari, B. Aditya Prakash, Srinivasan Venkatramanan, and Anil Vullikanti
  International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020), May 2020, Auckland, New Zealand.
  Selected among AAMAS best papers (Invited to JAAMAS Special Issue)

• Fast and Near-Optimal Monitoring for Healthcare Acquired Infection Outbreaks [PDF][CODE]
  Bijaya Adhikari, Bryan Lewis, Anil Vullikanti, Jose Mauricio Jimenez, and B. Aditya Prakash
  PLoS Computational Biology, 2019.
  Selected by Editors to be featured in the PLoS Complexity Channel

• EpiDeep: Exploiting Embeddings for Influenza Forecasting [PDF] [CODE] [SLIDES]
  Bijaya Adhikari, Xinfeng Xu, Naren Ramakrishnan and B. Aditya Prakash
  ACM SIGKDD Conference on knowledge Discovery and Data Mining (KDD 2019), August 2019, Anchorage, Alaska.

• NetGist: Learning to generate task-based network summaries [PDF] [CODE] [SLIDES]
  Sorour E. Amiri, Bijaya Adhikari, Aditya Bharadwaj, and B. Aditya Prakash
  IEEE International Conference on Data Mining (ICDM 2018), November 2018, Singapore.

• DeepDiffuse: Predicting the ‘Who’ and ‘When’ in Cascades [PDF] [CODE]
  Mohammad R Islam, Sathappan Muthiah, Bijaya Adhikari, B. Aditya Prakash, and Naren Ramakrishnan
  IEEE International Conference on Data Mining (ICDM 2018), November 2018, Singapore

• Sub2Vec: Feature Learning for Subgraphs [PDF] [CODE][SLIDES]
  Bijaya Adhikari, Yao Zhang, Naren Ramakrishnan, and B. Aditya Prakash
  Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2018), June 2018, Melbourne, Australia

• Mining E-Commerce Query Relations using Customer Interaction Networks [PDF][SLIDES]
  Bijaya Adhikari, Parikshit Sondhi, Wenke Zhang, Mohit Sharma, and B. Aditya Prakash
  The Web Conference (WWW 2018), April 2018, Lyon, France

• Near-optimal Mapping of Network States using Probes [PDF][CODE] [SLIDES]
  Bijaya Adhikari, Pavan Rangudu, B. Aditya Prakash, and Anil Vullikanti
  SIAM International Conference on Data Mining (SDM 2018), May 2018, San Diego, USA

• Propagation based Temporal Network Summarization [PDF] [CODE]
  Bijaya Adhikari, Yao Zhang, Sorour E. Amiri, Aditya Bharadwaj, and B. Aditya Prakash
  in IEEE Transactions on Knowledge and Data Engineering (TKDE 2018)

• Distributed Representations of Subgraphs
  Bijaya Adhikari, Yao Zhang, Naren Ramakrishnan, abd B. Aditya Prakash
  IEEE ICDM Workshop on Data Mining in Networks (DaMNet 2017), November 2017, New Orleans, USA

• Using Partial Probes to Infer Network States
  Pavan Rangudu, Bijaya Adhikari, B. Aditya Prakash, and Anil Vullikanti
  ACM SIGKDD Mining and Learning with Graphs Workshop (MLG 2017), August 2017, Halifax, Nova Scotia, Canada

• MeiKe: Influence-based Communities in Networks [PDF] [CODE] [SLIDES]
  Yao Zhang, Bijaya Adhikari, Steve Jan, and B. Aditya Prakash
  SIAM International Conference on Data Mining (SDM 2017), April 2017, Houston, USA

• Condensing Temporal Networks using Propagation [PDF] [CODE][SLIDES]
  Bijaya Adhikari, Yao Zhang, Aditya Bharadwaj, and B. Aditya Prakash
  SIAM International Conference on Data Mining (SDM 2017), April 2017, Houston, USA

• Analysis of MultiLayer Neural Networks with Direct and Cross Forward Connection [PDF]
  Stanislaw Placzek and Bijaya Adhikari
  Fundamenta Informaticae 133.2-3 (2014)

• Coordination Algorithm in Hierarchical Structure of the Learning Process of Artificial Neural Network [PDF]
  Stanislaw Placzek and Bijaya Adhikari
  CS&P 2014