Mining Novel Knowledge from Biomedical Literature using Statistical Measures and Domain Knowledge. - Kishlay Jha; Wei Jin 006 (BCB, 2016)

Mining Hidden Knowledge from the Counterterrorism Dataset Using Graph-Based Approach. - Kishlay Jha; Wei Jin 006 (NLDB, 2016)

Discovering Semantic Relationships between Concepts from MEDLINE. - Peng Yan 004; Wei Jin 006; Kishlay Jha (ICSC, 2016)

Augmenting word embeddings through external knowledge-base for biomedical application. - Kishlay Jha; Guangxu Xun; Vishrawas Gopalakrishnan; Aidong Zhang (IEEE BigData, 2017)

Generating Medical Hypotheses Based on Evolutionary Medical Concepts. - Guangxu Xun; Kishlay Jha; Vishrawas Gopalakrishnan; Yaliang Li; Aidong Zhang (ICDM, 2017)

Interpretable Word Embeddings for Medical Domain. - Kishlay Jha; Yaqing Wang 001; Guangxu Xun; Aidong Zhang (ICDM, 2018)

Concepts-Bridges: Uncovering Conceptual Bridges Based on Biomedical Concept Evolution. - Kishlay Jha; Guangxu Xun; Yaqing Wang 001; Vishrawas Gopalakrishnan; Aidong Zhang (KDD, 2018)

EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection. - Yaqing Wang 001; Fenglong Ma; Zhiwei Jin; Ye Yuan 006; Guangxu Xun; Kishlay Jha; Lu Su 001; Jing Gao 004 (KDD, 2018)

Towards self-learning based hypotheses generation in biomedical text domain. - Vishrawas Gopalakrishnan; Kishlay Jha; Guangxu Xun; Hung Q. Ngo 001; Aidong Zhang (Bioinform., 2018)

Topic Discovery for Biomedical Corpus Using MeSH Embeddings. - Guangxu Xun; Kishlay Jha; Ye Yuan 006; Aidong Zhang (BHI, 2019)

Hypothesis Generation From Text Based On Co-Evolution Of Biomedical Concepts. - Kishlay Jha; Guangxu Xun; Yaqing Wang 001; Aidong Zhang (KDD, 2019)

MeSHProbeNet: a self-attentive probe net for MeSH indexing. - Guangxu Xun; Kishlay Jha; Ye Yuan 006; Yaqing Wang 001; Aidong Zhang (Bioinform., 2019)

A survey on literature based discovery approaches in biomedical domain. - Vishrawas Gopalakrishnan; Kishlay Jha; Wei Jin 006; Aidong Zhang (J. Biomed. Informatics, 2019)

DWE-Med: Dynamic Word Embeddings for Medical Domain. - Kishlay Jha; Guangxu Xun; Vishrawas Gopalakrishnan; Aidong Zhang (ACM Trans. Knowl. Discov. Data, 2019)

Correlation Networks for Extreme Multi-label Text Classification. - Guangxu Xun; Kishlay Jha; Jianhui Sun; Aidong Zhang (KDD, 2020)

InterHG: an Interpretable and Accurate Model for Hypothesis Generation. - Haoyu Wang 004; Xuan Wang 008; Yaqing Wang 001; Guangxu Xun; Kishlay Jha; Jing Gao 004 (BIBM, 2021)

Knowledge-Guided Efficient Representation Learning for Biomedical Domain. - Kishlay Jha; Guangxu Xun; Nan Du 001; Aidong Zhang (KDD, 2021)

Multimodal Emergent Fake News Detection via Meta Neural Process Networks. - Yaqing Wang 001; Fenglong Ma; Haoyu Wang 004; Kishlay Jha; Jing Gao 004 (KDD, 2021)

Continual representation learning for evolving biomedical bipartite networks. - Kishlay Jha; Guangxu Xun; Aidong Zhang (Bioinform., 2021)

Knowledge-Base Enriched Word Embeddings for Biomedical Domain. - Kishlay Jha (CoRR, 2021)

MeSHProbeNet-P: Improving Large-scale MeSH Indexing with Personalizable MeSH Probes. - Guangxu Xun; Kishlay Jha; Aidong Zhang (ACM Trans. Knowl. Discov. Data, 2021)

Demystify Hyperparameters for Stochastic Optimization with Transferable Representations. - Jianhui Sun; Mengdi Huai; Kishlay Jha; Aidong Zhang (KDD, 2022)

Continual knowledge infusion into pre-trained biomedical language models. - Kishlay Jha; Aidong Zhang (Bioinform., 2022)

Continually-Adaptive Representation Learning Framework for Time-Sensitive Healthcare Applications. - Akash Choudhuri; Hankyu Jang; Alberto M. Segre; Philip M. Polgreen; Kishlay Jha; Bijaya Adhikari (CIKM, 2023)

Context-Aware Contrastive Representation Learning for Zero-Shot Biomedical Text Classification. - Ratri Mukherjee; Kishlay Jha (BIBM, 2024)

Context-Specific Feature Augmentation for Improving Social Determinants of Health Extraction. - Lei Gong; Andrey Shor; Aidong Zhang; Kishlay Jha (IEEE Big Data, 2024)

Learning to Rank Complex Biomedical Hypotheses for Accelerating Scientific Discovery. - Juncheng Ding; Shailesh Dahal; Bijaya Adhikari; Kishlay Jha (ICHI, 2024)

Semantic Knowledge Augmented Hypergraph Contrastive Representation Learning for Zero-Shot Biomedical Text Classification. - Ratri Mukherjee; Kishlay Jha (PAKDD (1), 2025)

Domain Knowledge Augmented Contrastive Learning on Dynamic Hypergraphs for Improved Health Risk Prediction. - Akash Choudhuri; Hieu Vu; Kishlay Jha; Bijaya Adhikari (SDM, 2025)