Ye Lu

According to our database, Ye Lu authored at least 27 papers between 2014 and 2024.

Collaborative distances:

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

2024

PaVM: A Parallel Virtual Machine for Smart Contract Execution and Validation.

Yaozheng Fang, Zhiyuan Zhou, Surong Dai, Jinni Yang, Hui Zhang, Ye Lu

IEEE Trans. Parallel Distributed Syst., January, 2024

2023

Differential Testing of Machine Translators Based on Compositional Semantics.

Shuang Liu, Shujie Dou, Junjie Chen, Zhirun Zhang, Ye Lu

IEEE Trans. Software Eng., December, 2023

TSC-VEE: A TrustZone-Based Smart Contract Virtual Execution Environment.

Zhaolong Jian, Ye Lu, Youyang Qiao, Yaozheng Fang, Xueshuo Xie, Dayi Yang, Zhiyuan Zhou, Tao Li

IEEE Trans. Parallel Distributed Syst., June, 2023

AutoQNN: An End-to-End Framework for Automatically Quantizing Neural Networks.

Cheng Gong, Ye Lu, Surong Dai, Deng Qian, Chenkun Du, Tao Li

CoRR, 2023

2022

SmartVM: A Smart Contract Virtual Machine for Fast On-Chain DNN Computations.

Tao Li, Yaozheng Fang, Ye Lu, Jinni Yang, Zhaolong Jian, Zhiguo Wan, Yusen Li

IEEE Trans. Parallel Distributed Syst., 2022

Elastic Significant Bit Quantization and Acceleration for Deep Neural Networks.

Cheng Gong, Ye Lu, Kunpeng Xie, Zongming Jin, Tao Li, Yanzhi Wang

IEEE Trans. Parallel Distributed Syst., 2022

ATOM: Architectural Support and Optimization Mechanism for Smart Contract Fast Update and Execution in Blockchain-Based IoT.

Tao Li, Yaozheng Fang, Zhaolong Jian, Xueshuo Xie, Ye Lu, Guiling Wang

IEEE Internet Things J., 2022

2021

Fast Policy Interpretation and Dynamic Conflict Resolution for Blockchain-Based IoT System.

Yaozheng Fang, Zhaolong Jian, Zongming Jin, Xueshuo Xie, Ye Lu, Tao Li

Wirel. Commun. Mob. Comput., 2021

MTFC: A Multi-GPU Training Framework for Cube-CNN-Based Hyperspectral Image Classification.

Ye Lu, Kunpeng Xie, Guanbin Xu, Han Dong, Cheng Li, Tao Li

IEEE Trans. Emerg. Top. Comput., 2021

VecQ: Minimal Loss DNN Model Compression With Vectorized Weight Quantization.

Cheng Gong, Yao Chen, Ye Lu, Tao Li, Cong Hao, Deming Chen

IEEE Trans. Computers, 2021

A Confidence-Guided Evaluation for Log Parsers Inner Quality.

Xueshuo Xie, Zhi Wang, Xuhang Xiao, Ye Lu, Shenwei Huang, Tao Li

Mob. Networks Appl., 2021

OSN: Onion-ring support neighbors for correspondence selection.

Cheng Gong, Ye Lu, Chunying Song, Tao Li, Kai Wang

Inf. Sci., 2021

AWAP: Adaptive weighted attribute propagation enhanced community detection model for bitcoin de-anonymization.

Xueshuo Xie, Jiming Wang, Junyi Ye, Yaozheng Fang, Ye Lu, Tao Li, Guiling Wang

Appl. Soft Comput., 2021

WIP: Sysnif: Constructing Workflow from Interleaved Logs in Intelligent IoT System.

Zongming Jin, Xueshuo Xie, Yaozheng Fang, Zhaolong Jian, Ye Lu, Guangying Li

Proceedings of the 22nd IEEE International Symposium on a World of Wireless, 2021

Trusted-DNN: A TrustZone-based Adaptive Isolation Strategy for Deep Neural Networks.

Zhuang Liu, Ye Lu, Xueshuo Xie, Yaozheng Fang, Zhaolong Jian, Tao Li

Proceedings of the ACM TURC 2021: ACM Turing Award Celebration Conference - Hefei, China, 30 July 2021, 2021

2020

Confidence guided anomaly detection model for anti-concept drift in dynamic logs.

Xueshuo Xie, Zongming Jin, Jiming Wang, Lei Yang, Ye Lu, Tao Li

J. Netw. Comput. Appl., 2020

Blockchain-driven anomaly detection framework on edge intelligence.

Xueshuo Xie, Yaozheng Fang, Zhaolong Jian, Ye Lu, Tao Li, Guiling Wang

CCF Trans. Netw., 2020

Attribute Propagation Enhanced Community Detection Model for Bitcoin De-anonymizing.

Jiming Wang, Xueshuo Xie, Yaozheng Fang, Ye Lu, Tao Li, Guiling Wang

Proceedings of the Machine Learning for Cyber Security - Third International Conference, 2020

2019

DBEFT: A Dependency-Ratio Bundling Earliest Finish Time Algorithm for Heterogeneous Computing.

Tao Li, Dingyuan Cao, Ye Lu, Tehui Huang, Chengjun Sun, Qiankun Dong, Xiaoli Gong

IEEE Access, 2019

µL2Q: An Ultra-Low Loss Quantization Method for DNN Compression.

Cheng Gong, Tao Li, Ye Lu, Cong Hao, Xiaofan Zhang, Deming Chen, Yao Chen

Proceedings of the International Joint Conference on Neural Networks, 2019

LHC: A Low-Power Heterogeneous Computing Method on Neural Network Accelerator.

Fangxin Liu, Kunpeng Xie, Cheng Gong, Shusheng Liu, Ye Lu, Tao Li

Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019

An Efficient Log Parsing Algorithm Based on Heuristic Rules.

Lin Zhang, Xueshuo Xie, Kunpeng Xie, Zhi Wang, Ye Lu, Yujun Zhang

Proceedings of the Advanced Parallel Processing Technologies, 2019

2018

Calligraphy: A Mobile Device Based Annotation Tool Supporting Learner Crowdsourcing.

Qingcheng Li, Heng Cao, Guangming Zheng, Ye Lu

Proceedings of the 2018 IEEE SmartWorld, 2018

2017

Connecting Paper to Digitization: a Homework Data Processing System with Data Labeling and Visualization.

Qingcheng Li, Heng Cao, Ye Lu

Proceedings of the 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, 2017

A Novel Approach of Constructing Chinese Handwriting Mobile System and Data Service for Elementary Education Domain.

Ye Lu, Qingcheng Li, Tao Li, Jiaxin Liu

Proceedings of the 2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC), 2017

How do you breathe-a non-contact monitoring method using depth data.

Qingcheng Li, Heng Cao, Yongcheng Li, Ye Lu

Proceedings of the 19th IEEE International Conference on e-Health Networking, 2017

2014

Optimizational Method of HBase Multi-dimensional Data Query Based on Hilbert Space-Filling Curve.

Qingcheng Li, Ye Lu, Xiaoli Gong, Jin Zhang

Proceedings of the 2014 Ninth International Conference on P2P, 2014