Xiangru Chen

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

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Bibliography

2026
Covariance localization combined with deep learning technology in ensemble kalman filter.
Comput. Appl. Math., August, 2026

L-PCN: A Point Cloud Accelerator Exploiting Spatial Locality through Octree-based Islandization.
CoRR, April, 2026

Spatio-Temporal Difference Guided Motion Deblurring with the Complementary Vision Sensor.
CoRR, April, 2026

Near-Field Deployment Optimization of Hybrid Active-Passive RISs for Multi-BS Large-Scale Networks.
IEEE Trans. Veh. Technol., March, 2026

JPEG-scaling operation chain forensics: JPEG compression detection and scaling factor estimation.
J. Vis. Commun. Image Represent., 2026

CLIP-based partial-wise prompt learning for unsupervised vehicle re-identification.
Expert Syst. Appl., 2026

2025
Median filtering detection based on multiple residuals in spatial and frequency domains.
Signal Image Video Process., June, 2025

Median filtering forensics using spatial and frequency domain residuals.
J. Supercomput., March, 2025

Omnichannel in Healthcare? Offline-to-Online Spillover Effects and Implications for Telemedicine in Treating Chronic Patients.
J. Manag. Inf. Syst., 2025

A Mobile Technology-Based Framework for Digital Libraries: Bridging Accessibility and Personalized Learning.
Int. J. Interact. Mob. Technol., 2025

Intelligent identification of shale pores and minerals based on deep learning theory: Application of object detection technology in shale reservoir evaluation.
Eng. Appl. Artif. Intell., 2025

2024
Understanding the perceived pedagogical value of <i>JazzQuiz</i> in interactive hybrid learning among university students: a technology acceptance analysis.
Interact. Learn. Environ., May, 2024

Guarding Deep Learning Systems With Boosted Evasion Attack Detection and Model Update.
IEEE Internet Things J., March, 2024

Evolving filter criteria for randomly initialized network pruning in image classification.
Neurocomputing, 2024

Robust deep learning from incomplete annotation for accurate lung nodule detection.
Comput. Biol. Medicine, 2024

Evolving masked low-rank transformer for long text understanding.
Appl. Soft Comput., 2024

Contrastive Learning with Transformer Initialization and Clustering Prior for Text Representation.
Appl. Soft Comput., 2024

Adaptive Masked Autoencoder Transformer for image classification.
Appl. Soft Comput., 2024

HgPCN: A Heterogeneous Architecture for E2E Embedded Point Cloud Inference.
Proceedings of the 57th IEEE/ACM International Symposium on Microarchitecture, 2024

Enhancing Hypotension Prediction in Real-Time Patient Monitoring Through Deep Learning: A Novel Application of XResNet with Contrastive Learning and Value Attention Mechanisms.
Proceedings of the Artificial Intelligence in Medicine - 22nd International Conference, 2024

2023
AroMa: Evaluating Deep Learning Systems for Stealthy Integrity Attacks on Multi-tenant Accelerators.
ACM J. Emerg. Technol. Comput. Syst., April, 2023

AINNS: All-Inclusive Neural Network Scheduling Via Accelerator Formalization.
IEEE Trans. Computers, February, 2023

Boosting the Long Range Sensing Potential of LoRa.
Proceedings of the 21st Annual International Conference on Mobile Systems, 2023

GERALT: Real-time Detection of Evasion Attacks in Deep Learning Systems.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

Exploration of Machine Learning Attacks in Automotive Systems Using Physical and Mixed Reality Platforms.
Proceedings of the IEEE International Conference on Consumer Electronics, 2023

Work-in-Progress: Towards Evaluating CNNs Against Integrity Attacks on Multi-tenant Computation.
Proceedings of the International Conference on Compilers, 2023

2022
GCONV Chain: Optimizing the Whole-Life Cost in End-to-end CNN Acceleration.
IEEE Trans. Computers, 2022

Dandelion: Boosting DNN Usability Under Dataset Scarcity.
IEEE Trans. Computers, 2022

Multi-scaled self-attention for drug-target interaction prediction based on multi-granularity representation.
BMC Bioinform., 2022

Threat intelligence ATT&CK extraction based on the attention transformer hierarchical recurrent neural network.
Appl. Soft Comput., 2022

Boosting the sensing granularity of acoustic signals by exploiting hardware non-linearity.
Proceedings of the 21st ACM Workshop on Hot Topics in Networks, 2022

2021
Evolving Deep Convolutional Variational Autoencoders for Image Classification.
IEEE Trans. Evol. Comput., 2021

UAVData: A dataset for unmanned aerial vehicle detection.
Soft Comput., 2021

Optimizing the Whole-life Cost in End-to-end CNN Acceleration.
CoRR, 2021

Deep drug-target binding affinity prediction with multiple attention blocks.
Briefings Bioinform., 2021

Universal Neural Network Acceleration via Real-Time Loop Blocking.
Proceedings of the 39th IEEE International Conference on Computer Design, 2021

Research on Stock Price Prediction Based on Catastrophe Theory.
Proceedings of the CIPAE 2021: 2nd International Conference on Computers, 2021

2019
Analyzing Traffic Crash Severity With Combination of Information Entropy and Bayesian Network.
IEEE Access, 2019

Eager pruning: algorithm and architecture support for fast training of deep neural networks.
Proceedings of the 46th International Symposium on Computer Architecture, 2019

2017
Obstacle avoidance behavior of swarm robots based on aggregation and disaggregation method.
Simul., 2017

2016
Group social capital and lending outcomes in the financial credit market: An empirical study of online peer-to-peer lending.
Electron. Commer. Res. Appl., 2016

2011
Diversifying product search results.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

2008
Can k-NN imputation improve the performance of C4.5 with small software project data sets? A comparative evaluation.
J. Syst. Softw., 2008


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