Kishlay Jha

38 papers A* 13A 4B 1C 1Journal 11Unranked 8
YearRankTypeTitle / Venue / Authors
2026 A conf
Continual Learning on Evolving Graphs via Mutual Information Maximization across Dynamic Node Embeddings.
WSDM
Shailesh Dahal, Ratri Mukherjee, Kishlay Jha
2026 A conf
TaxoDiff: Improving Taxonomy Completion with Diffusion Guided Dynamic Negative Sampling.
WSDM
Shailesh Dahal, Ratri Mukherjee, Nicholas Mathews, Kishlay Jha
2025 A* conf
Boosting Clinical Outcome Prediction with Context-Aware Feature Imputation and Disentanglement.
ICDM
Lei Gong, Aidong Zhang, Kishlay Jha
2025 J jnl
ConceptDrift: leveraging spatial, temporal and semantic evolution of biomedical concepts for hypothesis generation.
Bioinform.
Amir Hassan Shariatmadari, Alireza Jafari, Sikun Guo, Sneha Srinivasan, Nathan C. Sheffield, Aidong Zhang, Kishlay Jha
2025 A* conf
Disentangled Contrastive Representation Learning for Zero-Shot Biomedical Text Classification.
ICDM
Ratri Mukherjee, Shailesh Dahal, Kishlay Jha
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 A* conf
HyHG: A Temporal Hypergraph Contrastive Learning Framework for Biomedical Hypothesis Generation.
ICDM
Amir Hassan Shariatmadari, Sikun Guo, Nathan C. Sheffield, Aidong Zhang, Kishlay Jha
2025 A* conf
LifelongSkill: Toward Modality-Varying Lifelong Learning with Latent Knowledge Hypergraph.
ICDM
Jiayi Chen, Kishlay Jha, Aidong Zhang
2025 — conf
Semantic Knowledge Augmented Hypergraph Contrastive Representation Learning for Zero-Shot Biomedical Text Classification.
PAKDD (1)
Ratri Mukherjee, Kishlay Jha
2024 — conf
Context-Aware Contrastive Representation Learning for Zero-Shot Biomedical Text Classification.
BIBM
Ratri Mukherjee, Kishlay Jha
2024 B conf
Context-Specific Feature Augmentation for Improving Social Determinants of Health Extraction.
IEEE Big Data
Lei Gong, Andrey Shor, Aidong Zhang, Kishlay Jha
2024 J jnl
Continual Reinforcement Learning for Intelligent Agricultural Management under Climate Changes.
Comput. Mater. Continua
Zhaoan Wang, Kishlay Jha, Shaoping Xiao
2024 — conf
Learning to Rank Complex Biomedical Hypotheses for Accelerating Scientific Discovery.
ICHI
Juncheng Ding, Shailesh Dahal, Bijaya Adhikari, Kishlay Jha
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
2022 J jnl
Continual knowledge infusion into pre-trained biomedical language models.
Bioinform.
Kishlay Jha, Aidong Zhang
2022 A* conf
Demystify Hyperparameters for Stochastic Optimization with Transferable Representations.
KDD
Jianhui Sun, Mengdi Huai, Kishlay Jha, Aidong Zhang
2021 J jnl
Continual representation learning for evolving biomedical bipartite networks.
Bioinform.
Kishlay Jha, Guangxu Xun, Aidong Zhang
2021 — conf
InterHG: an Interpretable and Accurate Model for Hypothesis Generation.
BIBM
Haoyu Wang, Xuan Wang, Yaqing Wang, Guangxu Xun, Kishlay Jha, Jing Gao
2021 J jnl
Knowledge-Base Enriched Word Embeddings for Biomedical Domain.
CoRR
Kishlay Jha
2021 A* conf
Knowledge-Guided Efficient Representation Learning for Biomedical Domain.
KDD
Kishlay Jha, Guangxu Xun, Nan Du, Aidong Zhang
2021 J jnl
MeSHProbeNet-P: Improving Large-scale MeSH Indexing with Personalizable MeSH Probes.
ACM Trans. Knowl. Discov. Data
Guangxu Xun, Kishlay Jha, Aidong Zhang
2021 A* conf
Multimodal Emergent Fake News Detection via Meta Neural Process Networks.
KDD
Yaqing Wang, Fenglong Ma, Haoyu Wang, Kishlay Jha, Jing Gao
2021 J jnl
Multimodal Emergent Fake News Detection via Meta Neural Process Networks.
CoRR
Yaqing Wang, Fenglong Ma, Haoyu Wang, Kishlay Jha, Jing Gao
2020 A* conf
Correlation Networks for Extreme Multi-label Text Classification.
KDD
Guangxu Xun, Kishlay Jha, Jianhui Sun, Aidong Zhang
2019 J jnl
A survey on literature based discovery approaches in biomedical domain.
J. Biomed. Informatics
Vishrawas Gopalakrishnan, Kishlay Jha, Wei Jin, Aidong Zhang
2019 J jnl
DWE-Med: Dynamic Word Embeddings for Medical Domain.
ACM Trans. Knowl. Discov. Data
Kishlay Jha, Guangxu Xun, Vishrawas Gopalakrishnan, Aidong Zhang
2019 A* conf
Hypothesis Generation From Text Based On Co-Evolution Of Biomedical Concepts.
KDD
Kishlay Jha, Guangxu Xun, Yaqing Wang, Aidong Zhang
2019 J jnl
MeSHProbeNet: a self-attentive probe net for MeSH indexing.
Bioinform.
Guangxu Xun, Kishlay Jha, Ye Yuan, Yaqing Wang, Aidong Zhang
2019 — conf
Topic Discovery for Biomedical Corpus Using MeSH Embeddings.
BHI
Guangxu Xun, Kishlay Jha, Ye Yuan, Aidong Zhang
2018 A* conf
Concepts-Bridges: Uncovering Conceptual Bridges Based on Biomedical Concept Evolution.
KDD
Kishlay Jha, Guangxu Xun, Yaqing Wang, Vishrawas Gopalakrishnan, Aidong Zhang
2018 A* conf
EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection.
KDD
Yaqing Wang, Fenglong Ma, Zhiwei Jin, Ye Yuan, Guangxu Xun, Kishlay Jha, Lu Su, Jing Gao
2018 A* conf
Interpretable Word Embeddings for Medical Domain.
ICDM
Kishlay Jha, Yaqing Wang, Guangxu Xun, Aidong Zhang
2018 J jnl
Towards self-learning based hypotheses generation in biomedical text domain.
Bioinform.
Vishrawas Gopalakrishnan, Kishlay Jha, Guangxu Xun, Hung Q. Ngo, Aidong Zhang
2017 — conf
Augmenting word embeddings through external knowledge-base for biomedical application.
IEEE BigData
Kishlay Jha, Guangxu Xun, Vishrawas Gopalakrishnan, Aidong Zhang
2017 A* conf
Generating Medical Hypotheses Based on Evolutionary Medical Concepts.
ICDM
Guangxu Xun, Kishlay Jha, Vishrawas Gopalakrishnan, Yaliang Li, Aidong Zhang
2016 — conf
Discovering Semantic Relationships between Concepts from MEDLINE.
ICSC
Peng Yan, Wei Jin, Kishlay Jha
2016 C conf
Mining Hidden Knowledge from the Counterterrorism Dataset Using Graph-Based Approach.
NLDB
Kishlay Jha, Wei Jin
2016 — conf
Mining Novel Knowledge from Biomedical Literature using Statistical Measures and Domain Knowledge.
BCB
Kishlay Jha, Wei Jin