Zhendong Shi

According to our database, Zhendong Shi authored at least 12 papers between 2014 and 2023.

Collaborative distances:

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

2023

From Bandits Model to Deep Deterministic Policy Gradient, Reinforcement Learning with Contextual Information.

Zhendong Shi, Xiaoli Wei, Ercan E. Kuruoglu

CoRR, 2023

Strategic Trading in Quantitative Markets through Multi-Agent Reinforcement Learning.

Hengxi Zhang, Zhendong Shi, Yuanquan Hu, Wenbo Ding, Ercan E. Kuruoglu, Xiao-Ping Zhang

CoRR, 2023

Thompson Sampling on Asymmetric a-stable Bandits.

Zhendong Shi, Ercan E. Kuruoglu, Xiaoli Wei

Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

2022

Thompson Sampling on Asymmetric α-Stable Bandits.

Zhendong Shi, Ercan E. Kuruoglu, Xiaoli Wei

CoRR, 2022

Visualization and Attack Prevention for a Sensor-Based Agricultural Monitoring System.

Yifan Zhou, Zhendong Shi, Ruoxi Sun

Proceedings of the ACSW 2022: Australasian Computer Science Week 2022, Brisbane, Australia, February 14, 2022

2021

Test Generation for Hardware Trojan Detection Using Correlation Analysis and Genetic Algorithm.

Zhendong Shi, Haocheng Ma, Qizhi Zhang, Yanjiang Liu, Yiqiang Zhao, Jiaji He

ACM Trans. Embed. Comput. Syst., 2021

2020

DroidSD: An Efficient Indexed Based Android Applications Similarity Detection Tool.

Junaid Akram, Zhendong Shi, Majid Mumtaz, Ping Luo

J. Inf. Sci. Eng., 2020

2018

Comparing learning to rank techniques in hybrid bug localization.

Zhendong Shi, Jacky Keung, Kwabena Ebo Bennin, Xingjun Zhang

Appl. Soft Comput., 2018

DCCD: An Efficient and Scalable Distributed Code Clone Detection Technique for Big Code.

Junaid Akram, Zhendong Shi, Majid Mumtaz, Ping Luo

Proceedings of the 30th International Conference on Software Engineering and Knowledge Engineering, 2018

DroidCC: A Scalable Clone Detection Approach for Android Applications to Detect Similarity at Source Code Level.

Junaid Akram, Zhendong Shi, Majid Mumtaz, Ping Luo

Proceedings of the 2018 IEEE 42nd Annual Computer Software and Applications Conference, 2018

2016

A Strategy to Determine When to Stop Using Automatic Bug Localization.

Zhendong Shi, Jacky W. Keung, Kwabena Ebo Bennin, Nachai Limsettho, Qinbao Song

Proceedings of the 40th IEEE Annual Computer Software and Applications Conference, 2016

2014

An empirical study of BM25 and BM25F based feature location techniques.

Zhendong Shi, Jacky Keung, Qinbao Song

Proceedings of the International Workshop on Innovative Software Development Methodologies and Practices, 2014