| 2026 | WSDM | Continual Learning on Evolving Graphs via Mutual Information Maximization across Dynamic Node Embeddings. | Shailesh Dahal, Ratri Mukherjee, Kishlay Jha |
| 2026 | WSDM | TaxoDiff: Improving Taxonomy Completion with Diffusion Guided Dynamic Negative Sampling. | Shailesh Dahal, Ratri Mukherjee, Nicholas Mathews, Kishlay Jha |
| 2025 | ICDM | LifelongSkill: Toward Modality-Varying Lifelong Learning with Latent Knowledge Hypergraph. | Jiayi Chen, Kishlay Jha, Aidong Zhang |
| 2025 | ICDM | Boosting Clinical Outcome Prediction with Context-Aware Feature Imputation and Disentanglement. | Lei Gong, Aidong Zhang, Kishlay Jha |
| 2025 | ICDM | Disentangled Contrastive Representation Learning for Zero-Shot Biomedical Text Classification. | Ratri Mukherjee, Shailesh Dahal, Kishlay Jha |
| 2025 | ICDM | HyHG: A Temporal Hypergraph Contrastive Learning Framework for Biomedical Hypothesis Generation. | Amir Hassan Shariatmadari, Sikun Guo, Nathan C. Sheffield, Aidong Zhang, Kishlay Jha |
| 2025 | PAKDD | Semantic Knowledge Augmented Hypergraph Contrastive Representation Learning for Zero-Shot Biomedical Text Classification. | Ratri Mukherjee, Kishlay Jha |
| 2025 | SDM | Domain Knowledge Augmented Contrastive Learning on Dynamic Hypergraphs for Improved Health Risk Prediction. | Akash Choudhuri, Hieu Vu, Kishlay Jha, Bijaya Adhikari |
| 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 |
| 2022 | KDD | Demystify Hyperparameters for Stochastic Optimization with Transferable Representations. | Jianhui Sun, Mengdi Huai, Kishlay Jha, Aidong Zhang |
| 2021 | KDD | Knowledge-Guided Efficient Representation Learning for Biomedical Domain. | Kishlay Jha, Guangxu Xun, Nan Du, Aidong Zhang |
| 2021 | KDD | Multimodal Emergent Fake News Detection via Meta Neural Process Networks. | Yaqing Wang, Fenglong Ma, Haoyu Wang, Kishlay Jha, Jing Gao |
| 2020 | KDD | Correlation Networks for Extreme Multi-label Text Classification. | Guangxu Xun, Kishlay Jha, Jianhui Sun, Aidong Zhang |
| 2019 | KDD | Hypothesis Generation From Text Based On Co-Evolution Of Biomedical Concepts. | Kishlay Jha, Guangxu Xun, Yaqing Wang, Aidong Zhang |
| 2018 | ICDM | Interpretable Word Embeddings for Medical Domain. | Kishlay Jha, Yaqing Wang, Guangxu Xun, Aidong Zhang |
| 2018 | KDD | Concepts-Bridges: Uncovering Conceptual Bridges Based on Biomedical Concept Evolution. | Kishlay Jha, Guangxu Xun, Yaqing Wang, Vishrawas Gopalakrishnan, Aidong Zhang |
| 2018 | KDD | EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection. | Yaqing Wang, Fenglong Ma, Zhiwei Jin, Ye Yuan, Guangxu Xun, Kishlay Jha, Lu Su, Jing Gao |
| 2017 | ICDM | Generating Medical Hypotheses Based on Evolutionary Medical Concepts. | Guangxu Xun, Kishlay Jha, Vishrawas Gopalakrishnan, Yaliang Li, Aidong Zhang |
| 2016 | NLDB | Mining Hidden Knowledge from the Counterterrorism Dataset Using Graph-Based Approach. | Kishlay Jha, Wei Jin |