Mingzhe Du

According to our database, Mingzhe Du authored at least 43 papers between 2017 and 2025.

Collaborative distances:

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

2025

Beyond Prompt-Induced Lies: Investigating LLM Deception on Benign Prompts.

Zhaomin Wu, Mingzhe Du, See-Kiong Ng, Bingsheng He

CoRR, August, 2025

Benchmarking LLMs for Unit Test Generation from Real-World Functions.

Dong Huang, Jie M. Zhang, Mark Harman, Qianru Zhang, Mingzhe Du, See-Kiong Ng

CoRR, August, 2025

SWE-Perf: Can Language Models Optimize Code Performance on Real-World Repositories?

Xinyi He, Qian Liu, Mingzhe Du, Lin Yan, Zhijie Fan, Yiming Huang, Zejian Yuan, Zejun Ma

CoRR, July, 2025

Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization.

Mingzhe Du, Luu Tuan Tuan, Yue Liu, Yuhao Qing, Dong Huang, Xinyi He, Qian Liu, Zejun Ma, See-Kiong Ng

CoRR, May, 2025

Efficient Reasoning via Chain of Unconscious Thought.

Ruihan Gong, Yue Liu, Wenjie Qu, Mingzhe Du, Yufei He, Yingwei Ma, Yulin Chen, Xiang Liu, Yi Wen, Xinfeng Li, Ruidong Wang, Xinzhong Zhu, Bryan Hooi, Jiaheng Zhang

CoRR, May, 2025

EffiBench-X: A Multi-Language Benchmark for Measuring Efficiency of LLM-Generated Code.

Yuhao Qing, Boyu Zhu, Mingzhe Du, Zhijiang Guo, Terry Yue Zhuo, Qianru Zhang, Jie M. Zhang, Heming Cui, Siu-Ming Yiu, Dong Huang, See-Kiong Ng, Luu Anh Tuan

CoRR, May, 2025

GuardReasoner-VL: Safeguarding VLMs via Reinforced Reasoning.

Yue Liu, Shengfang Zhai, Mingzhe Du, Yulin Chen, Tri Cao, Hongcheng Gao, Cheng Wang, Xinfeng Li, Kun Wang, Junfeng Fang, Jiaheng Zhang, Bryan Hooi

CoRR, May, 2025

CodeArena: A Collective Evaluation Platform for LLM Code Generation.

Mingzhe Du, Anh Tuan Luu, Bin Ji, Xiaobao Wu, Dong Huang, Terry Yue Zhuo, Qian Liu, See-Kiong Ng

CoRR, March, 2025

Reconciling Hardware Transactional Memory and Persistent Programming with Buffered Durability.

Mingzhe Du, Ziheng Su, Michael L. Scott

Proceedings of the 37th ACM Symposium on Parallelism in Algorithms and Architectures, 2025

Curriculum Demonstration Selection for In-Context Learning.

Duc Anh Vu, Cong-Duy Nguyen, Xiaobao Wu, Nhat M. Hoang, Mingzhe Du, Thong Nguyen, Anh Tuan Luu

Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing, 2025

Buffered Persistence in B+ Trees (Abstract).

Mingzhe Du, Michael L. Scott

Proceedings of the 3rd Highlights of Parallel Computing Workshop, 2025

AntiLeakBench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge.

Xiaobao Wu, Liangming Pan, Yuxi Xie, Ruiwen Zhou, Shuai Zhao, Yubo Ma, Mingzhe Du, Rui Mao, Anh Tuan Luu, William Yang Wang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Towards Verifiable Text Generation with Generative Agent.

Bin Ji, Huijun Liu, Mingzhe Du, Shasha Li, Xiaodong Liu, Jun Ma, Jie Yu, See-Kiong Ng

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Buffered Persistence in B+ Trees.

Mingzhe Du, Michael L. Scott

Proc. ACM Manag. Data, December, 2024

Practical, Automated Scenario-Based Mobile App Testing.

Shengcheng Yu, Chunrong Fang, Mingzhe Du, Zimin Ding, Zhenyu Chen, Zhendong Su

IEEE Trans. Software Eng., July, 2024

Semi-supervised Crowdsourced Test Report Clustering via Screenshot-Text Binding Rules.

Shengcheng Yu, Chunrong Fang, Quanjun Zhang, Mingzhe Du, Jia Liu, Zhenyu Chen

Proc. ACM Softw. Eng., 2024

AntiLeak-Bench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge.

Xiaobao Wu, Liangming Pan, Yuxi Xie, Ruiwen Zhou, Shuai Zhao, Yubo Ma, Mingzhe Du, Rui Mao, Anh Tuan Luu, William Yang Wang

CoRR, 2024

Rethinking the Influence of Source Code on Test Case Generation.

Dong Huang, Jie M. Zhang, Mingzhe Du, Mark Harman, Heming Cui

CoRR, 2024

Mercury: An Efficiency Benchmark for LLM Code Synthesis.

Mingzhe Du, Anh Tuan Luu, Bin Ji, See-Kiong Ng

CoRR, 2024

Mercury: A Code Efficiency Benchmark for Code Large Language Models.

Mingzhe Du, Anh Tuan Luu, Bin Ji, Qian Liu, See-Kiong Ng

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Practical Non-Intrusive GUI Exploration Testing with Visual-based Robotic Arms.

Shengcheng Yu, Chunrong Fang, Mingzhe Du, Yuchen Ling, Zhenyu Chen, Zhendong Su

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Counseling Responses for Mental Health Forum Questions with Early Maladaptive Schema Prediction.

Sujatha Das Gollapalli, Beng Heng Ang, Mingzhe Du, See-Kiong Ng

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Chain-of-Thought Improves Text Generation with Citations in Large Language Models.

Bin Ji, Huijun Liu, Mingzhe Du, See-Kiong Ng

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

From Static to Dynamic: Knowledge Metabolism for Large Language Models.

Mingzhe Du, Anh Tuan Luu, Bin Ji, See-Kiong Ng

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Constituency-Informed and Constituency-Constrained Extractive Question Answering with Heterogeneous Graph Transformer.

Mingzhe Du, Mouad Hakam, See-Kiong Ng, Stéphane Bressan

Trans. Large Scale Data Knowl. Centered Syst., 2023

From Static to Dynamic: A Continual Learning Framework for Large Language Models.

Mingzhe Du, Anh Tuan Luu, Bin Ji, See-Kiong Ng

CoRR, 2023

Identifying Checkworthy CURE Claims on Twitter.

Sujatha Das Gollapalli, Mingzhe Du, See-Kiong Ng

Proceedings of the ACM Web Conference 2023, 2023

Generating Reflective Questions for Engaging Gallery Visitors in ArtMuse.

Sujatha Das Gollapalli, Mingzhe Du, See-Kiong Ng

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Image Semantic Relation Generation.

Mingzhe Du

CoRR, 2022

SemCluster: a semi-supervised clustering tool for crowdsourced test reports with deep image understanding.

Mingzhe Du, Shengcheng Yu, Chunrong Fang, Tongyu Li, Heyuan Zhang, Zhenyu Chen

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

NUS-IDS at CheckThat!2022: Identifying Check-worthiness of Tweets using CheckthaT5.

Mingzhe Du, Sujatha Das Gollapalli, See-Kiong Ng

Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

2021

Automated Mobile App Test Script Intent Generation via Image and Code Understanding.

Shengcheng Yu, Chunrong Fang, Tongyu Li, Mingzhe Du, Xuan Li, Jing Zhang, Yexiao Yun, Xu Wang, Zhenyu Chen

CoRR, 2021

Fast Nonblocking Persistence for Concurrent Data Structures.

Wentao Cai, Haosen Wen, Vladimir Maksimovski, Mingzhe Du, Rafaello Sanna, Shreif Abdallah, Michael L. Scott

Proceedings of the 35th International Symposium on Distributed Computing, 2021

A Fast, General System for Buffered Persistent Data Structures.

Haosen Wen, Wentao Cai, Mingzhe Du, Louis Jenkins, Benjamin Valpey, Michael L. Scott

Proceedings of the ICPP 2021: 50th International Conference on Parallel Processing, Lemont, IL, USA, August 9, 2021

2020

Algorithmics of Cost-Driven Computation Offloading in the Edge-Cloud Environment.

Mingzhe Du, Yang Wang, Kejiang Ye, Chengzhong Xu

IEEE Trans. Computers, 2020

Montage: A General System for Buffered Durably Linearizable Data Structures.

Haosen Wen, Wentao Cai, Mingzhe Du, Louis Jenkins, Benjamin Valpey, Michael L. Scott

CoRR, 2020

Brief Announcement: Building Fast Recoverable Persistent Data Structures with Montage.

Haosen Wen, Wentao Cai, Mingzhe Du, Benjamin Valpey, Michael L. Scott

Proceedings of the 34th International Symposium on Distributed Computing, 2020

2019

On Cost-Driven Computation Offloading in the Edge: A New Model Approach.

Mingzhe Du, Yang Wang, Cheng-Zhong Xu

Proceedings of the 19th IEEE/ACM International Symposium on Cluster, 2019

SOREC: A Semantic Content-Based Recommendation System for Parsimonious Sociology Theory Construction.

Mingzhe Du, José M. Vidal, Barry Markovsky

Proceedings of the IEEE Fifth International Conference on Big Data Computing Service and Applications, 2019

Wikitheoria: A Computational Framework for Parsimonious Sociology Theory Construction.

Mingzhe Du, José M. Vidal, Barry Markovsky

Proceedings of the 7th ACIS International Conference on Applied Computing and Information Technology, 2019

Using Pre-trained Embeddings to Detect the Intent of an Email.

Zaid Alibadi, Mingzhe Du, José M. Vidal

Proceedings of the 7th ACIS International Conference on Applied Computing and Information Technology, 2019

2018

A Road-Aware Spatial Mapping for Moving Objects.

Xingsheng Zhao, Jingwen Shi, Mingzhe Du, Fan Ni, Song Jiang, Yang Wang

Proceedings of the 37th IEEE International Performance Computing and Communications Conference, 2018

2017

Edge Rupture Degree of Graphs.

Yinkui Li, Mingzhe Du, Hongyan Li, Xiaolin Wang

Int. J. Found. Comput. Sci., 2017