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Yuxin Zi
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Process Knowledge-infused Learning for Clinician-friendly Explanations
K Roy, Y Zi, M Gaur, J Malekar, Q Zhang, V Narayanan, A Sheth
AAAI Second Symposium on Human Partnership with Medical Artificial …, 2023
24*2023
KSAT: Knowledge-infused Self Attention Transformer--Integrating Multiple Domain-Specific Contexts
K Roy, Y Zi, V Narayanan, M Gaur, A Sheth
KDD Workshop on Knowledge Augmented Methods for NLP, 2023
14*2023
Cook-gen: Robust generative modeling of cooking actions from recipes
KR Revathy Venkataramanan, K Raj, R Prasad, Y Zi, V Narayanan, ...
IEEE Conference on Systems, Man, and Cybernetics, 2023
12*2023
IERL: Interpretable Ensemble Representation Learning-Combining CrowdSourced Knowledge and Distributed Semantic Representations
Y Zi, K Roy, V Narayanan, M Gaur, A Sheth
KDD Workshop on Knowledge-infused Learning, 2023
72023
Knowledge Graph Guided Semantic Evaluation of Language Models For User Trust
K Roy, T Garg, V Palit, Y Zi, V Narayanan, A Sheth
IEEE Conference on Artificial Intelligence, 2023
42023
WISE Causal Models: Wisdom Infused Semantics Enhanced Causal Models-A Study in Suicidality Diagnosis
K Roy, Y Zi, V Narayanan, M Gaur, S Chandrasekar, A Sheth
22022
RDR: The Recap, Deliberate, and Respond Method for Enhanced Language Understanding
Y Zi, H Veeramani, K Roy, AP Sheth
AAAI Workshop on Neuro-Symbolic Learning and Reasoning in the Era of Large …, 2024
12024
Deep Siamese Network for Metric Learning on Chest X-ray Data
Y Zi
The University of Texas at Dallas, 2019
12019
RI2AP: Robust and Interpretable 2D Anomaly Prediction in Assembly Pipelines
C Shyalika, K Roy, R Prasad, F El Kalach, Y Zi, P Mittal, V Narayanan, ...
Preprints, 2024
2024
Causal Event Graph-Guided Language-based Spatiotemporal Question Answering
K Roy, A Oltramari, Y Zi, C Shyalika, V Narayanan, A Sheth
AAAI Spring Symposium on Empowering Machine Learning and Large Language …, 2024
2024
Exploring Alternative Approaches to Language Modeling for Learning from Data and Knowledge
Y Zi, K Roy, V Narayanan, A Sheth
AAAI Spring Symposium on Empowering Machine Learning and Large Language …, 2024
2024
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