Kishan KC

According to our database, Kishan KC authored at least 10 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Efficient Fine-Tuning Large Language Models for Knowledge-Aware Response Planning.

Minh Nguyen, Kishan K. C., Toan Nguyen, Ankit Chadha, Thuy Vu

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Question-Context Alignment and Answer-Context Dependencies for Effective Answer Sentence Selection.

Minh Van Nguyen, Kishan KC, Toan Nguyen, Thien Huu Nguyen, Ankit Chadha, Thuy Vu

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

2022

Predicting Biomedical Interactions With Higher-Order Graph Convolutional Networks.

Kishan KC, Rui Li, Feng Cui, Anne R. Haake

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Predicting Biomedical Interactions with Probabilistic Model Selection for Graph Neural Networks.

Kishan K. C., Rui Li, Paribesh Regmi, Anne R. Haake

CoRR, 2022

2021

Machine learning predicts nucleosome binding modes of transcription factors.

Kishan KC, Sridevi K. Subramanya, Rui Li, Feng Cui

BMC Bioinform., 2021

Joint Inference for Neural Network Depth and Dropout Regularization.

Kishan K. C., Rui Li, Mahdi Gilany

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Histopathological distinction of non-invasive and invasive bladder cancers using machine learning approaches.

Peng-Nien Yin, Kishan KC, Shishi Wei, Qi Yu, Rui Li, Anne R. Haake, Hiroshi Miyamoto, Feng Cui

BMC Medical Informatics Decis. Mak., 2020

Interpretable Structured Learning with Sparse Gated Sequence Encoder for Protein-Protein Interaction Prediction.

Kishan KC, Feng Cui, Anne R. Haake, Rui Li

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

GNE: a deep learning framework for gene network inference by aggregating biological information.

Kishan KC, Rui Li, Feng Cui, Qi Yu, Anne R. Haake

BMC Syst. Biol., 2019

2018

Sparse Covariance Modeling in High Dimensions with Gaussian Processes.

Rui Li, Kishan KC, Feng Cui, Justin Domke, Anne R. Haake

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018