A novel method of recognizing short coding sequences of human genes. - Jiawei Luo 001; Yang Li; Jiachen Guo (BIC-TA, 2010)

Water Meter ID Identifying and Reading System Based on RFID Technology. - Jiachen Guo; Hongsong Li; Pengfei Yu (ISCID (1), 2011)

Deep Learning Discrete Calculus (DLDC): A Family of Discrete Numerical Methods by Universal Approximation for STEM Education to Frontier Research. - Sourav Saha; Chanwook Park; Stefan Knapik; Jiachen Guo; Owen Huang; Wing Kam Liu (CoRR, 2022)

An Introduction to Kernel and Operator Learning Methods for Homogenization by Self-consistent Clustering Analysis. - Owen Huang; Sourav Saha; Jiachen Guo; Wing Kam Liu (CoRR, 2022)

Extended tensor decomposition model reduction methods: training, prediction, and design under uncertainty. - Ye Lu; Satyajit Mojumder; Jiachen Guo; Yangfan Li; Wing Kam Liu (CoRR, 2023)

Statistical Parameterized Physics-Based Machine Learning Digital Twin Models for Laser Powder Bed Fusion Process. - Yangfan Li; Satyajit Mojumder; Ye Lu; Abdullah Al Amin; Jiachen Guo; Xiaoyu Xie; Wei Chen 041; Gregory J. Wagner; Jian Cao; Wing Kam Liu (CoRR, 2023)

DCABM-TCM: A Database of Constituents Absorbed into the Blood and Metabolites of Traditional Chinese Medicine. - Xinyue Liu; Jinying Liu; Bangze Fu; Ruzhen Chen; Jianzhou Jiang; He Chen; Runa Li; Lin Xing; Liying Yuan; Xuetai Chen; Jing Zhang; Honglei Li; et al. (J. Chem. Inf. Model., 2023)

Load-Modulated Balanced Amplifiers for Next-G Wireless Communications. - Pingzhu Gong; Jiachen Guo; Kenle Chen (BCICTS, 2024)

Linear Hybrid Asymmetrical Load-Modulated Balanced Amplifier with Multi-Band Reconfigurability and Antenna-VSWR Resilience. - Jiachen Guo; Yuchen Cao; Kenle Chen (CoRR, 2024)

Engineering software 2.0 by interpolating neural networks: unifying training, solving, and calibration. - Chanwook Park; Sourav Saha; Jiachen Guo; Xiaoyu Xie; Satyajit Mojumder; Miguel A. Bessa; Dong Qian; Wei Chen 041; Gregory J. Wagner; Jian Cao; Wing Kam Liu (CoRR, 2024)

Decade-Bandwidth RF-Input Pseudo-Doherty Load Modulated Balanced Amplifier using Signal-Flow-Based Phase Alignment Design. - Pingzhu Gong; Jiachen Guo; Niteesh Bharadwaj Vangipurapu; Kenle Chen (CoRR, 2024)

Convolutional Hierarchical Deep Learning Neural Networks-Tensor Decomposition (C-HiDeNN-TD): a scalable surrogate modeling approach for large-scale physical systems. - Jiachen Guo; Chanwook Park; Xiaoyu Xie; Zhongsheng Sang; Gregory J. Wagner; Wing Kam Liu (CoRR, 2024)

Point-Sim: A Lightweight Network for 3D Point Cloud Classification. - Jiachen Guo; Wenjie Luo 003 (Algorithms, 2024)

Deep Reinforcement Learning Empowered Resource Allocation in Vehicular Fog Computing. - Lijun Sun; Mingzhi Liu; Jiachen Guo; Xu Yu 001; Shangguang Wang (IEEE Trans. Veh. Technol., 2024)

An explicable machine learning approach for predicting 30-day septic mortality for ICU patients. - Liang Zhou; Ruiqian Wu; Shanshan Wang; Temitope Emmanuel Komolafe; Jiachen Guo; Zhiping Fan; Zhiwei Zhang (Int. J. Inf. Commun. Technol., 2025)

Interpolation Neural Network-Tensor Decomposition (INN-TD): a scalable and interpretable approach for large-scale physics-based problems. - Jiachen Guo; Xiaoyu Xie; Chanwook Park; Hantao Zhang; Matthew Politis; Gino Domel; Thomas J. R. Hughes; Wing Kam Liu (CoRR, 2025)

Tensor-decomposition-based A Priori Surrogate (TAPS) modeling for ultra large-scale simulations. - Jiachen Guo; Gino Domel; Chanwook Park; Hantao Zhang; Ozgur Can Gumus; Ye Lu; Gregory J. Wagner; Dong Qian; Jian Cao; Thomas J. R. Hughes; Wing Kam Liu (CoRR, 2025)

Theory and Design of Pseudo-Doherty Load-Modulated Double Balanced Amplifier With Intrinsic Insensitivity to Antenna VSWR. - Jiachen Guo; Pingzhu Gong; Kenle Chen (IEEE Trans. Circuits Syst. I Regul. Pap., 2025)