Bijaya Adhikari
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
27
Venues
8
Active years
2017–2025
Best venue rank
A*
Where they publish
Papers
27 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | Implicit Subgraph Neural Network. | Yongjian Zhong, Liao Zhu, Hieu Vu, Bijaya Adhikari |
| 2025 | SDM | Domain Knowledge Augmented Contrastive Learning on Dynamic Hypergraphs for Improved Health Risk Prediction. | Akash Choudhuri, Hieu Vu, Kishlay Jha, Bijaya Adhikari |
| 2025 | SDM | Conformal Edge-Weight Prediction in Latent Space. | Akash Choudhuri, Yongjian Zhong, Mehrdad Moharrami, Christine Klymko, Mark Heimann, Jayaraman J. Thiagarajan, Bijaya Adhikari |
| 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 | ICDM | Summarizing Clinical Notes using LLMs for ICU Bounceback and Length-of-Stay Prediction. | Akash Choudhuri, Philip Polgreen, Alberto M. Segre, Bijaya Adhikari |
| 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 | KDD | Efficient and Effective Implicit Dynamic Graph Neural Network. | Yongjian Zhong, Hieu Vu, Tianbao Yang, Bijaya Adhikari |
| 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 | CIKM | Continually-Adaptive Representation Learning Framework for Time-Sensitive Healthcare Applications. | Akash Choudhuri, Hankyu Jang, Alberto M. Segre, Philip M. Polgreen, Kishlay Jha, Bijaya Adhikari |
| 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 |
| 2022 | ICDM | Near-Optimal Spectral Disease Mitigation in Healthcare Facilities. | Masahiro Kiji, D. M. Hasibul Hasan, Alberto M. Segre, Sriram V. Pemmaraju, Bijaya Adhikari |
| 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 |
| 2021 | AAAI | Finding Needles in Heterogeneous Haystacks. | Bijaya Adhikari, Liangyue Li, Nikhil Rao, Karthik Subbian |
| 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 | ICDM | Risk-aware Temporal Cascade Reconstruction to Detect Asymptomatic Cases : For the CDC MInD Healthcare Network. | Hankyu Jang, Shreyas Pai, Bijaya Adhikari, Sriram V. Pemmaraju |
| 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 |
| 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 | 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 | ICDM | Distributed Representations of Subgraphs. | Bijaya Adhikari, Yao Zhang, Naren Ramakrishnan, B. Aditya Prakash |
| 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 |