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)

Coupling Geometry on Binary Bipartite Networks: Hypotheses Testing on Pattern Geometry and Nestedness. - Jiahui Guan; Fushing Hsieh (Frontiers Appl. Math. Stat., 2018)

HMC: A Hybrid Reinforcement Learning Based Model Compression for Healthcare Applications. - Ravi Soni; Jiahui Guan; Gopal Avinash; V. Ratna Saripalli (CASE, 2019)

D3MC: A Reinforcement Learning Based Data-Driven Dyna Model Compression. - Jiahui Guan; Ravi Soni; Dibyajyoti Pati; Gopal Avinash; V. Ratna Saripalli (LABELS/HAL-MICCAI/CuRIOUS@MICCAI, 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)

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)

Development and Validation of a Deep Learning Model for Prediction of Severe Outcomes in Suspected COVID-19 Infection. - Varun Buch; Aoxiao Zhong; Xiang Li 001; Marcio Aloisio Bezerra Cavalcanti Rockenbach; Dufan Wu; Hui Ren 001; Jiahui Guan; Andrew Liteplo; Sayon Dutta; Ittai Dayan; Quanzheng Li (CoRR, 2021)

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., 2023)

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., 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., 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)

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., 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)

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)