Publications | Kishan KC

Kishan KC, Zhenning Tan, Long Chen, Minho Jin, Eunjung Han, Andreas Stolcke, Chul Lee . openFEAT: Improving Speaker Identification by Open-set Few-shot Embedding Adaptation with Transformer. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2022, 2022.

Kishan KC, Rui Li, Mahdi Gilany . Joint Inference for Neural Network Depth and Dropout Regularization. Neural Information Processing Systems (NeurIPS) 2021, 2021.

Kishan KC+, Sridevi K. Subramanya+, Rui Li, Feng Cui, (+ indicates equal contribution) . Machine learning predicts nucleosome binding modes of transcription factors. BMC Bioinformatics, 2021, 2021.

Kishan KC, Rui Li, Feng Cui, Anne Haake . Predicting Biomedical Interactions with Higher-Order Graph Convolutional Networks. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2021, 2021.

Kishan KC, Feng Cui, Anne Haake, Rui Li . Interpretable Structured Learning with Sparse Gated Sequence Encoder for Protein-Protein Interaction Prediction. 25th International Conference on Pattern Recognition, 2021, 2020.

Peng-Nien Yin, Kishan KC, Weishi Shi, Qi Yu, Rui Li, Anne R Haake, Hiroshi Miyamoto . Histopathological distinction of non-invasive and invasive bladder cancers using machine learning approaches. BMC Medical Informatics and Decision Making, 2020, 2020.

Kishan KC, Rui Li, Feng Cui, Qi Yu, Anne Haake . GNE: A deep learning framework for gene network inference by aggregating biological information. BMC Systems Biology, 2019, 2019.

Kishan KC, Rui Li, Feng Cui, Anne Haake . Learning topology-preserving embedding for gene interaction networks. 17th European Conference on Computational Biology (ECCB) (Poster), 2018, 2018.