Xiangru Chen

According to our database, Xiangru Chen authored at least 32 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Guarding Deep Learning Systems With Boosted Evasion Attack Detection and Model Update.

Xiangru Chen, Dipal Halder, Kazi Mejbaul Islam, Sandip Ray

IEEE Internet Things J., March, 2024

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

Xiangru Chen, Chenjing Liu, Peng Hu, Jie Lin, Yunhong Gong, Yingke Chen, Dezhong Peng, Xue Geng

Neurocomputing, 2024

Robust deep learning from incomplete annotation for accurate lung nodule detection.

Zebin Gao, Yuchen Guo, Guoxin Wang, Xiangru Chen, Xuyang Cao, Chao Zhang, Shan An, Feng Xu

Comput. Biol. Medicine, 2024

Evolving masked low-rank transformer for long text understanding.

Chenjing Liu, Xiangru Chen, Jie Lin, Peng Hu, Junfeng Wang, Xue Geng

Appl. Soft Comput., 2024

Contrastive Learning with Transformer Initialization and Clustering Prior for Text Representation.

Chenjing Liu, Xiangru Chen, Peng Hu, Jie Lin, Junfeng Wang, Xue Geng

Appl. Soft Comput., 2024

Adaptive Masked Autoencoder Transformer for image classification.

Xiangru Chen, Chenjing Liu, Peng Hu, Jie Lin, Yunhong Gong, Yingke Chen, Dezhong Peng, Xue Geng

Appl. Soft Comput., 2024

Targeted Universal Adversarial Attack on Deep Hash Networks.

Fanlei Meng, Xiangru Chen, Yuan Cao

Proceedings of the 2024 International Conference on Multimedia Retrieval, 2024

Hypergraph Hash Learning for Efficient Trajectory Similarity Computation.

Yuan Cao, Lei Li, Xiangru Chen, Xue Xu, Zuojin Huang, Yanwei Yu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Enhancing Hypotension Prediction in Real-Time Patient Monitoring Through Deep Learning: A Novel Application of XResNet with Contrastive Learning and Value Attention Mechanisms.

Xiangru Chen, Milos Hauskrecht

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.

Xiangru Chen, Maneesh Merugu, Jiaqi Zhang, Sandip Ray

ACM J. Emerg. Technol. Comput. Syst., April, 2023

AINNS: All-Inclusive Neural Network Scheduling Via Accelerator Formalization.

Jiaqi Zhang, Xiangru Chen, Sandip Ray

IEEE Trans. Computers, February, 2023

Boosting the Long Range Sensing Potential of LoRa.

Binbin Xie, Minhao Cui, Deepak Ganesan, Xiangru Chen, Jie Xiong

Proceedings of the 21st Annual International Conference on Mobile Systems, 2023

GERALT: Real-time Detection of Evasion Attacks in Deep Learning Systems.

Xiangru Chen, Sandip Ray

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.

Venkata Sai Gireesh Chamarthi, Xiangru Chen, Bhagawat Baanav Yedla Ravi, Sandip Ray

Proceedings of the IEEE International Conference on Consumer Electronics, 2023

Work-in-Progress: Towards Evaluating CNNs Against Integrity Attacks on Multi-tenant Computation.

Xiangru Chen, Dipal Halder, Kazi Mejbaul Islam, Sandip Ray

Proceedings of the International Conference on Compilers, 2023

2022

GCONV Chain: Optimizing the Whole-Life Cost in End-to-end CNN Acceleration.

Jiaqi Zhang, Xiangru Chen, Sandip Ray

IEEE Trans. Computers, 2022

Dandelion: Boosting DNN Usability Under Dataset Scarcity.

Xiangru Chen, Jiaqi Zhang, Sandip Ray

IEEE Trans. Computers, 2022

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

Yuni Zeng, Xiangru Chen, Dezhong Peng, Lijun Zhang, Haixiao Huang

BMC Bioinform., 2022

Threat intelligence ATT&CK extraction based on the attention transformer hierarchical recurrent neural network.

Chenjing Liu, Junfeng Wang, Xiangru Chen

Appl. Soft Comput., 2022

Boosting the sensing granularity of acoustic signals by exploiting hardware non-linearity.

Xiangru Chen, Dong Li, Yiran Chen, Jie Xiong

Proceedings of the 21st ACM Workshop on Hot Topics in Networks, 2022

2021

Evolving Deep Convolutional Variational Autoencoders for Image Classification.

Xiangru Chen, Yanan Sun, Mengjie Zhang, Dezhong Peng

IEEE Trans. Evol. Comput., 2021

UAVData: A dataset for unmanned aerial vehicle detection.

Yuni Zeng, Qianwen Duan, Xiangru Chen, Dezhong Peng, Yao Mao, Ke Yang

Soft Comput., 2021

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

Jiaqi Zhang, Xiangru Chen, Sandip Ray, Tao Li

CoRR, 2021

Deep drug-target binding affinity prediction with multiple attention blocks.

Yuni Zeng, Xiangru Chen, Yujie Luo, Xuedong Li, Dezhong Peng

Briefings Bioinform., 2021

Universal Neural Network Acceleration via Real-Time Loop Blocking.

Jiaqi Zhang, Xiangru Chen, Sandip Ray

Proceedings of the 39th IEEE International Conference on Computer Design, 2021

Research on Stock Price Prediction Based on Catastrophe Theory.

Yingbing Fan, Lina Sun, Xiangru Chen

Proceedings of the CIPAE 2021: 2nd International Conference on Computers, 2021

2019

Analyzing Traffic Crash Severity With Combination of Information Entropy and Bayesian Network.

Fang Zong, Xiangru Chen, Jinjun Tang, Ping Yu, Ting Wu

IEEE Access, 2019

Eager pruning: algorithm and architecture support for fast training of deep neural networks.

Jiaqi Zhang, Xiangru Chen, Mingcong Song, Tao Li

Proceedings of the 46th International Symposium on Computer Architecture, 2019

2017

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

Yue Yu, Xiangru Chen, Zhaohan Lu, Fengxia Li, Bo Zhang

Simul., 2017

2016

Group social capital and lending outcomes in the financial credit market: An empirical study of online peer-to-peer lending.

Xiangru Chen, Lina Zhou, Difang Wan

Electron. Commer. Res. Appl., 2016

2011

Diversifying product search results.

Xiangru Chen, Haofen Wang, Xinruo Sun, Junfeng Pan, Yong Yu

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.

Qinbao Song, Martin J. Shepperd, Xiangru Chen, Jun Liu

J. Syst. Softw., 2008