Xiangru Chen

Orcid: 0000-0003-4722-2084

According to our database1, Xiangru Chen authored at least 24 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

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