Jiahui Guan

According to our database, Jiahui Guan authored at least 15 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Graph-RPI: predicting RNA-protein interactions via graph autoencoder and self-supervised learning strategies.

Jiahui Guan, Lantian Yao, Peilin Xie, Zhihao Zhao, Dian Meng, Tzong-Yi Lee, Junwen Wang, Ying-Chih Chiang

Briefings Bioinform., May, 2025

StackPIP: An Effective Computational Framework for Accurate and Balanced Identification of Proinflammatory Peptides.

Lantian Yao, Feng Wang, Peilin Xie, Jiahui Guan, Zhihao Zhao, Xuxin He, Xingchen Liu, Ying-Chih Chiang, Tzong-Yi Lee

J. Chem. Inf. Model., 2025

StackDILI: Enhancing Drug-Induced Liver Injury Prediction through Stacking Strategy with Effective Molecular Representations.

Jiahui Guan, Danhong Dong, Peilin Xie, Zhihao Zhao, Yilin Guo, Tzong-Yi Lee, Lantian Yao, Ying-Chih Chiang

J. Chem. Inf. Model., 2025

Towards Accurate Identification of Anti-Hepatitis C Peptides Using Stack-AHCP.

Lantian Yao, Chang Liu, Yen-Peng Chiu, Jiahui Guan, Peilin Xie, Zhihao Zhao, Xingchen Liu, Yilin Guo, Yulan Liu, Yunlu Peng, Ying-Chih Chiang, Tzong-Yi Lee

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2025

2024

ACP-CapsPred: an explainable computational framework for identification and functional prediction of anticancer peptides based on capsule network.

Lantian Yao, Peilin Xie, Jiahui Guan, Chia-Ru Chung, Wenyang Zhang, Junyang Deng, Yixian Huang, Ying-Chih Chiang, Tzong-Yi Lee

Briefings Bioinform., September, 2024

A two-stage computational framework for identifying antiviral peptides and their functional types based on contrastive learning and multi-feature fusion strategy.

Jiahui Guan, Lantian Yao, Peilin Xie, Chia-Ru Chung, Yixian Huang, Ying-Chih Chiang, Tzong-Yi Lee

Briefings Bioinform., May, 2024

CapsEnhancer: An Effective Computational Framework for Identifying Enhancers Based on Chaos Game Representation and Capsule Network.

Lantian Yao, Peilin Xie, Jiahui Guan, Chia-Ru Chung, Yixian Huang, Yuxuan Pang, Huacong Wu, Ying-Chih Chiang, Tzong-Yi Lee

J. Chem. Inf. Model., 2024

2023

Predicting Anti-inflammatory Peptides by Ensemble Machine Learning and Deep Learning.

Jiahui Guan, Lantian Yao, Chia-Ru Chung, Peilin Xie, Yilun Zhang, Junyang Deng, Ying-Chih Chiang, Tzong-Yi Lee

J. Chem. Inf. Model., December, 2023

2021

Development and Validation of a Deep Learning Model for Prediction of Severe Outcomes in Suspected COVID-19 Infection.

Varun Buch, Aoxiao Zhong, Xiang Li, Marcio Aloisio Bezerra Cavalcanti Rockenbach, Dufan Wu, Hui Ren, Jiahui Guan, Andrew Liteplo, Sayon Dutta, Ittai Dayan, Quanzheng Li

CoRR, 2021

2019

Iterative PET Image Reconstruction Using Convolutional Neural Network Representation.

Kuang Gong, Jiahui Guan, Kyung Sang Kim, Xuezhu Zhang, Jaewon Yang, Youngho Seo, Georges El Fakhri, Jinyi Qi, Quanzheng Li

IEEE Trans. Medical Imaging, 2019

Impact of Inference Accelerators on hardware selection.

Dibyajyoti Pati, Caroline Favart, Purujit Bahl, Vivek Soni, Yun-Chan Tsai, Michael Potter, Jiahui Guan, Xiaomeng Dong, V. Ratna Saripalli

CoRR, 2019

D3MC: A Reinforcement Learning Based Data-Driven Dyna Model Compression.

Jiahui Guan, Ravi Soni, Dibyajyoti Pati, Gopal Avinash, V. Ratna Saripalli

Proceedings of the Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention, 2019

HMC: A Hybrid Reinforcement Learning Based Model Compression for Healthcare Applications.

Ravi Soni, Jiahui Guan, Gopal Avinash, V. Ratna Saripalli

Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

2018

Coupling Geometry on Binary Bipartite Networks: Hypotheses Testing on Pattern Geometry and Nestedness.

Jiahui Guan, Fushing Hsieh

Frontiers Appl. Math. Stat., 2018

2017

Iterative PET Image Reconstruction Using Convolutional Neural Network Representation.

Kuang Gong, Jiahui Guan, Kyung Sang Kim, Xuezhu Zhang, Georges El Fakhri, Jinyi Qi, Quanzheng Li

CoRR, 2017