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Kishlay Jha
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2020 – today
- 2026
[c27]Shailesh Dahal
, Ratri Mukherjee
, Nicholas Mathews
, Kishlay Jha
:
TaxoDiff: Improving Taxonomy Completion with Diffusion Guided Dynamic Negative Sampling. WSDM 2026: 122-131
[c26]Shailesh Dahal
, Ratri Mukherjee
, Kishlay Jha
:
Continual Learning on Evolving Graphs via Mutual Information Maximization across Dynamic Node Embeddings. WSDM 2026: 1125-1129- 2025
[j9]Amir Hassan Shariatmadari
, Alireza Jafari
, Sikun Guo
, Sneha Srinivasan
, Nathan C. Sheffield
, Aidong Zhang
, Kishlay Jha
:
ConceptDrift: leveraging spatial, temporal and semantic evolution of biomedical concepts for hypothesis generation. Bioinform. 41(11) (2025)
[c25]Amir Hassan Shariatmadari, Sikun Guo, Nathan C. Sheffield, Aidong Zhang, Kishlay Jha:
HyHG: A Temporal Hypergraph Contrastive Learning Framework for Biomedical Hypothesis Generation. ICDM 2025: 703-712
[c24]Jiayi Chen, Kishlay Jha, Aidong Zhang:
LifelongSkill: Toward Modality-Varying Lifelong Learning with Latent Knowledge Hypergraph. ICDM 2025: 1105-1114
[c23]Lei Gong, Aidong Zhang, Kishlay Jha:
Boosting Clinical Outcome Prediction with Context-Aware Feature Imputation and Disentanglement. ICDM 2025: 1234-1243
[c22]Ratri Mukherjee, Shailesh Dahal, Kishlay Jha:
Disentangled Contrastive Representation Learning for Zero-Shot Biomedical Text Classification. ICDM 2025: 1425-1434
[c21]Ratri Mukherjee, Kishlay Jha:
Semantic Knowledge Augmented Hypergraph Contrastive Representation Learning for Zero-Shot Biomedical Text Classification. PAKDD (1) 2025: 319-330
[c20]Akash Choudhuri, Hieu Vu, Kishlay Jha, Bijaya Adhikari:
Domain Knowledge Augmented Contrastive Learning on Dynamic Hypergraphs for Improved Health Risk Prediction. SDM 2025: 476-486- 2024
[j8]Zhaoan Wang, Kishlay Jha, Shaoping Xiao:
Continual Reinforcement Learning for Intelligent Agricultural Management under Climate Changes. Comput. Mater. Continua 81(1): 1319-1336 (2024)
[c19]Ratri Mukherjee, Kishlay Jha:
Context-Aware Contrastive Representation Learning for Zero-Shot Biomedical Text Classification. BIBM 2024: 3611-3614
[c18]Lei Gong, Andrey Shor, Aidong Zhang, Kishlay Jha:
Context-Specific Feature Augmentation for Improving Social Determinants of Health Extraction. IEEE Big Data 2024: 1736-1745
[c17]Juncheng Ding, Shailesh Dahal
, Bijaya Adhikari, Kishlay Jha:
Learning to Rank Complex Biomedical Hypotheses for Accelerating Scientific Discovery. ICHI 2024: 285-293- 2023
[c16]Akash Choudhuri
, Hankyu Jang
, Alberto M. Segre
, Philip M. Polgreen
, Kishlay Jha
, Bijaya Adhikari
:
Continually-Adaptive Representation Learning Framework for Time-Sensitive Healthcare Applications. CIKM 2023: 4538-4544- 2022
[j7]Kishlay Jha
, Aidong Zhang:
Continual knowledge infusion into pre-trained biomedical language models. Bioinform. 38(2): 494-502 (2022)
[c15]Jianhui Sun, Mengdi Huai, Kishlay Jha
, Aidong Zhang:
Demystify Hyperparameters for Stochastic Optimization with Transferable Representations. KDD 2022: 1706-1716- 2021
[j6]Kishlay Jha
, Guangxu Xun, Aidong Zhang:
Continual representation learning for evolving biomedical bipartite networks. Bioinform. 37(15): 2190-2197 (2021)
[j5]Guangxu Xun
, Kishlay Jha
, Aidong Zhang:
MeSHProbeNet-P: Improving Large-scale MeSH Indexing with Personalizable MeSH Probes. ACM Trans. Knowl. Discov. Data 15(1): 11:1-11:14 (2021)
[c14]Haoyu Wang, Xuan Wang
, Yaqing Wang, Guangxu Xun, Kishlay Jha
, Jing Gao:
InterHG: an Interpretable and Accurate Model for Hypothesis Generation. BIBM 2021: 1552-1557
[c13]Kishlay Jha
, Guangxu Xun, Nan Du, Aidong Zhang:
Knowledge-Guided Efficient Representation Learning for Biomedical Domain. KDD 2021: 3077-3085
[c12]Yaqing Wang
, Fenglong Ma, Haoyu Wang, Kishlay Jha
, Jing Gao:
Multimodal Emergent Fake News Detection via Meta Neural Process Networks. KDD 2021: 3708-3716
[i2]Kishlay Jha:
Knowledge-Base Enriched Word Embeddings for Biomedical Domain. CoRR abs/2103.00479 (2021)
[i1]Yaqing Wang, Fenglong Ma, Haoyu Wang, Kishlay Jha, Jing Gao:
Multimodal Emergent Fake News Detection via Meta Neural Process Networks. CoRR abs/2106.13711 (2021)- 2020
[c11]Guangxu Xun
, Kishlay Jha
, Jianhui Sun, Aidong Zhang:
Correlation Networks for Extreme Multi-label Text Classification. KDD 2020: 1074-1082
2010 – 2019
- 2019
[j4]Guangxu Xun
, Kishlay Jha
, Ye Yuan, Yaqing Wang, Aidong Zhang:
MeSHProbeNet: a self-attentive probe net for MeSH indexing. Bioinform. 35(19): 3794-3802 (2019)
[j3]Vishrawas Gopalakrishnan, Kishlay Jha
, Wei Jin, Aidong Zhang:
A survey on literature based discovery approaches in biomedical domain. J. Biomed. Informatics 93 (2019)
[j2]Kishlay Jha
, Guangxu Xun
, Vishrawas Gopalakrishnan, Aidong Zhang:
DWE-Med: Dynamic Word Embeddings for Medical Domain. ACM Trans. Knowl. Discov. Data 13(2): 19:1-19:21 (2019)
[c10]Guangxu Xun
, Kishlay Jha
, Ye Yuan, Aidong Zhang:
Topic Discovery for Biomedical Corpus Using MeSH Embeddings. BHI 2019: 1-4
[c9]Kishlay Jha
, Guangxu Xun
, Yaqing Wang, Aidong Zhang:
Hypothesis Generation From Text Based On Co-Evolution Of Biomedical Concepts. KDD 2019: 843-851- 2018
[j1]Vishrawas Gopalakrishnan, Kishlay Jha
, Guangxu Xun
, Hung Q. Ngo, Aidong Zhang:
Towards self-learning based hypotheses generation in biomedical text domain. Bioinform. 34(12): 2103-2115 (2018)
[c8]Kishlay Jha
, Yaqing Wang, Guangxu Xun
, Aidong Zhang:
Interpretable Word Embeddings for Medical Domain. ICDM 2018: 1061-1066
[c7]Yaqing Wang, Fenglong Ma, Zhiwei Jin, Ye Yuan, Guangxu Xun
, Kishlay Jha
, Lu Su, Jing Gao:
EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection. KDD 2018: 849-857
[c6]Kishlay Jha
, Guangxu Xun
, Yaqing Wang, Vishrawas Gopalakrishnan, Aidong Zhang:
Concepts-Bridges: Uncovering Conceptual Bridges Based on Biomedical Concept Evolution. KDD 2018: 1599-1607- 2017
[c5]Kishlay Jha
, Guangxu Xun
, Vishrawas Gopalakrishnan, Aidong Zhang:
Augmenting word embeddings through external knowledge-base for biomedical application. IEEE BigData 2017: 1965-1974
[c4]Guangxu Xun
, Kishlay Jha
, Vishrawas Gopalakrishnan, Yaliang Li, Aidong Zhang:
Generating Medical Hypotheses Based on Evolutionary Medical Concepts. ICDM 2017: 535-544- 2016
[c3]Kishlay Jha
, Wei Jin:
Mining Novel Knowledge from Biomedical Literature using Statistical Measures and Domain Knowledge. BCB 2016: 317-326
[c2]Kishlay Jha, Wei Jin:
Mining Hidden Knowledge from the Counterterrorism Dataset Using Graph-Based Approach. NLDB 2016: 310-317
[c1]Peng Yan, Wei Jin, Kishlay Jha
:
Discovering Semantic Relationships between Concepts from MEDLINE. ICSC 2016: 370-373
Coauthor Index

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last updated on 2026-04-19 22:06 CEST by the dblp team
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