User-Assisted Archive Document Image Analysis for Digital Library Construction. - Jingyu He; Andy C. Downton (ICDAR, 2003)

Configurable Text Stamp Identification Tool with Application of Fuzzy Logic. - Jingyu He; Andy C. Downton (Document Analysis Systems, 2004)

Colour Map Classification for Archive Documents. - Jingyu He; Andy C. Downton (Document Analysis Systems, 2004)

Multi-component Document Image Coding Using Regions-of-Interest. - Xiao Wei Yin; Andy C. Downton; Martin Fleury; Jingyu He (Document Analysis Systems, 2004)

A region-of-interest method for texturally-rich document image coding. - Xiao Wei Yin; Andy C. Downton; Martin Fleury; Jingyu He (IEEE Signal Process. Lett., 2004)

Evaluation of a User-Assisted Archive Construction System for Online Natural History Archives. - Jingyu He; Andy C. Downton (ICDAR, 2005)

A Comparison of Binarization Methods for Historical Archive Documents. - Jingyu He; Q. D. M. Do; Andy C. Downton; J. H. Kim (ICDAR, 2005)

User-configurable OCR enhancement for online natural history archives. - Andy C. Downton; Jingyu He; Simon M. Lucas (Int. J. Document Anal. Recognit., 2007)

Deep Learning for Predicting Asset Returns. - Guanhao Feng; Jingyu He; Nicholas G. Polson (CoRR, 2018)

Accelerated Bayesian Additive Regression Trees. - Jingyu He; Saar Yalov; P. Richard Hahn (CoRR, 2018)

XBART: Accelerated Bayesian Additive Regression Trees. - Jingyu He; Saar Yalov; P. Richard Hahn (AISTATS, 2019)

Design Methodology for Energy Efficient Unmanned Aerial Vehicles. - Jingyu He; Yao Xiao; Paul Bogdan; Corina Bogdan (CoRR, 2019)

Development and Implementation of a Concept for the Meta Description of Highway Driving Scenarios with Focus on Interactions of Road Users. - Raphael Pfeffer; Jingyu He; Eric Sax (VEHITS, 2020)

Stochastic tree ensembles for regularized nonlinear regression. - Jingyu He; P. Richard Hahn (CoRR, 2020)

A Design Methodology for Energy-Aware Processing in Unmanned Aerial Vehicles. - Jingyu He; Yao Xiao; Corina Bogdan; Shahin Nazarian; Paul Bogdan (ACM Trans. Design Autom. Electr. Syst., 2022)

SNNOpt: An Application-Specific Design Framework for Spiking Neural Networks. - Jingyu He; Ziyang Shen; Fengshi Tian; Jinbo Chen; Jie Yang 033; Mohamad Sawan; Hsiang-Ting Chen; Paul Bogdan; Chi-Ying Tsui (AICAS, 2023)

Stochastic Tree Ensembles for Estimating Heterogeneous Effects. - Nikolay Krantsevich; Jingyu He; P. Richard Hahn (AISTATS, 2023)

RVComp: Analog Variation Compensation for RRAM-Based in-Memory Computing. - Jingyu He; Yucong Huang; Miguel Angel Lastras-Montaño; Terry Tao Ye; Chi-Ying Tsui; Kwang-Ting Cheng (ASP-DAC, 2023)

NOLS: A Near-sensor On-chip Learning System with Direct Feedback Alignment for Personalized Wearable Heart Health Monitoring. - Fengshi Tian; Shiqi Zhao; Jingyu He; Jinbo Chen; Xiaomeng Wang; Jie Yang 033; Mohamad Sawan; Chi-Ying Tsui; Kwang-Ting (Tim) Cheng (BioCAS, 2023)

Research on the Design of Red Cultural and Creative Products in Hongyuan County Based on Regional Characteristics. - Sinuo Chen; Ning Dai; Jun Du; Fangyu Li; Jingyu He; Yuqing Wang (DSIE, 2023)

High-performance Reconfigurable DNN Accelerator on a Bandwidth-limited Embedded System. - Xianghong Hu; Hongmin Huang; Xueming Li; Xin Zheng 001; Qinyuan Ren; Jingyu He; Xiaoming Xiong (ACM Trans. Embed. Comput. Syst., 2023)

RWriC: A Dynamic Writing Scheme for Variation Compensation for RRAM-based In-Memory Computing. - Yucong Huang; Jingyu He; Kwang-Ting (Tim) Cheng; Chi-Ying Tsui; Terry Tao Ye (DAC, 2024)

AdaP-CIM: Compute-in-Memory Based Neural Network Accelerator Using Adaptive Posit. - Jingyu He; Fengbin Tu; Kwang-Ting Cheng; Chi-Ying Tsui (DATE, 2024)

ReSCIM: Variation-Resilient High Weight-Loading Bandwidth In-Memory Computation Based on Fine-Grained Hybrid Integration of Multi-Level ReRAM and SRAM Cells. - Xiaomeng Wang; Jingyu He; Kunming Shao; Jiakun Zheng; Fengshi Tian; Kwang-Ting (Tim) Cheng; Chi-Ying Tsui (ICCAD, 2024)

BOLS: A Bionic Sensor-direct On-chip Learning System with Direct-Feedback-Through-Time for Personalized Wearable Health Monitoring. - Fengshi Tian; Jiakun Zheng; Jingyu He; Jinbo Chen; Xiaomeng Wang; Chaoming Fang; Jie Yang 033; Mohamad Sawan; Chi-Ying Tsui; Kwang-Ting Cheng (ISCAS, 2024)

Local Gaussian Process Extrapolation for BART Models with Applications to Causal Inference. - Meijia Wang; Jingyu He; P. Richard Hahn (J. Comput. Graph. Stat., 2024)

SynDCIM: A Performance-Aware Digital Computing-in-Memory Compiler with Multi-Spec-Oriented Subcircuit Synthesis. - Kunming Shao; Fengshi Tian; Xiaomeng Wang; Jiakun Zheng; Jia Chen; Jingyu He; Hui Wu 010; Jinbo Chen; Xihao Guan; Yi Deng; Fengbin Tu; Jie Yang 033; et al. (DATE, 2025)

DPE-CIM: Compute-In-Memory Accelerator using Dynamic Posit Encoding and Speculative Alignment. - Jingyu He; Kwang-Ting Cheng; Chi-Ying Tsui (ISCAS, 2025)

Algorithms for Shortest Path Tour Problem. - Yucen Gao; Zhuoran Li; Jingyu He; Jun Fang; Hui Gao; Xiaofeng Gao 001; Guihai Chen (Theor. Comput. Sci., 2025)

Growing the Efficient Frontier on Panel Trees. - Lin William Cong; Guanhao Feng; Jingyu He; Xin He (CoRR, 2025)

Accelerated Bayesian Reciprocal LASSO. - Erina Paul; Jingyu He; Himel Mallick (Commun. Stat. Simul. Comput., 2025)

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data. - Jianheng Tang 001; Huiping Zhuang; Jingyu He; Run He; Jingchao Wang; Kejia Fan; Anfeng Liu; Tian Wang 001; Leye Wang; Zhanxing Zhu; Shanghang Zhang; Houbing Herbert Song; et al. (CoRR, 2025)

CALM: A Ubiquitous Crowdsourced Analytic Learning Mechanism for Continual Service Construction with Data Privacy Preservation. - Kejia Fan; Yajiang Huang; Jingyu He; Feijiang Han; Jianheng Tang 001; Huiping Zhuang; Anfeng Liu; Tian Wang 001; Mianxiong Dong; Houbing Herbert Song; Yunhuai Liu (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2025)