Scholar
Mingzhe Xing
Google Scholar ID: mDVUFvcAAAAJ
Peking University
Citations & Impact
Citations
194
H-index
7
i10-index
7
Publications
16
Co-authors
11
list available
Publications
Resume (English only)
Academic Achievements
- Publications include:
- - “Understanding the Weakness of Large Language Model Agents within a Complex Android Environment”, KDD’2024.
- - “SPRING: Improving the Throughput of Sharding Blockchain via Deep Reinforcement Learning Based State Placement”, WWW’2024.
- - “A Dual-Agent Scheduler for Distributed Deep Learning Jobs on Public Cloud via Reinforcement Learning”, KDD ‘2023.
- - “Fast and Fine-grained Autoscaler for Streaming Jobs with Reinforcement Learning”, IJCAI ‘2022.
- - “Analysis of Resource Management Methods Based on Reinforcement Learning”, HDIS ‘2021.
- - “Learning Reliable User Representations from Volatile and Sparse Data to Accurately Predict Customer Lifetime Value”, KDD ‘2021.
- - “Detection of Hidden Feature Requests from Massive Chat Messages via Deep Siamese Network”, ICSE ‘20 (Equal Contribution with Lin Shi).
- - “Learning to Extract Transaction Function from Requirements: An Industrial Case on Financial Software”, ESEC/FSE 2020.
Research Experience
- Last-year Ph.D. student, researching in an interdisciplinary field involving machine learning, software engineering, and cloud systems.
Education
- Ph.D. in Computer Science at Peking University, advised by Prof. Zhen Xiao; Master's degree at the University of Chinese Academy of Sciences, supervised by Prof. Qing Wang; Bachelor's degree at Huazhong University of Science and Technology.
Background
- Research Interests: AI for System & Software Engineering, focusing on integrating machine learning, software engineering, and cloud systems. Committed to investigating and addressing efficiency, effectiveness, and reliability challenges within systems and software engineering domains with machine learning algorithms.
