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ORCIDMingzhe Du
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2026
[i22]Tianyi Wu, Mingzhe Du, Yue Liu, Chengran Yang, Terry Yue Zhuo, Jiaheng Zhang, See-Kiong Ng:
Secure Code Generation via Online Reinforcement Learning with Vulnerability Reward Model. CoRR abs/2602.07422 (2026)- [i21]Xiao Zhu, Xinyu Zhou, Boyu Zhu, Hanxu Hu, Mingzhe Du, Haotian Zhang, Huiming Wang, Zhijiang Guo:
CodeScaler: Scaling Code LLM Training and Test-Time Inference via Execution-Free Reward Models. CoRR abs/2602.17684 (2026) - 2025
- [c25]Bin Ji, Huijun Liu, Mingzhe Du, Shasha Li, Xiaodong Liu, Jun Ma, Jie Yu, See-Kiong Ng:
Towards Verifiable Text Generation with Generative Agent. AAAI 2025: 24230-24238 - [c24]Mingzhe Du, Anh Tuan Luu, Bin Ji, Xiaobao Wu, Yuhao Qing, Dong Huang, Terry Yue Zhuo, Qian Liu, See-Kiong Ng:
CodeArena: A Collective Evaluation Platform for LLM Code Generation. ACL (3) 2025: 502-512 - [c23]Xiaobao Wu, Liangming Pan, Yuxi Xie, Ruiwen Zhou, Shuai Zhao, Yubo Ma, Mingzhe Du, Rui Mao, Anh Tuan Luu, William Yang Wang:
AntiLeakBench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge. ACL (1) 2025: 18403-18419 - [c22]Sujatha Das Gollapalli, Mouad Hakam, Mingzhe Du, See-Kiong Ng, Mohammed Hamzeh:
On Assigning Product and Software Codes to Customer Service Requests with Large Language Models. EMNLP (Industry Track) 2025: 1092-1103 - [c21]Mingzhe Du
, Michael L. Scott:
Buffered Persistence in B+ Trees (Abstract). HOPC@SPAA 2025: 34-36 - [c20]Moming Duan, Mingzhe Du, Rui Zhao, Mengying Wang, Yinghui Wu, Nigel Shadbolt, Bingsheng He:
Position: Current Model Licensing Practices are Dragging Us into a Quagmire of Legal Noncompliance. ICML (Position Papers) 2025 - [c19]Duc Anh Vu, Cong-Duy Nguyen, Xiaobao Wu, Nhat M. Hoang, Mingzhe Du, Thong Nguyen, Anh Tuan Luu:
Curriculum Demonstration Selection for In-Context Learning. SAC 2025: 1004-1006 - [c18]Mingzhe Du, Ziheng Su, Michael L. Scott:
Reconciling Hardware Transactional Memory and Persistent Programming with Buffered Durability. SPAA 2025: 314-327 - [i20]Mingzhe Du, Anh Tuan Luu, Bin Ji, Xiaobao Wu, Dong Huang, Terry Yue Zhuo, Qian Liu, See-Kiong Ng:
CodeArena: A Collective Evaluation Platform for LLM Code Generation. CoRR abs/2503.01295 (2025) - [i19]Yue Liu, Shengfang Zhai, Mingzhe Du, Yulin Chen, Tri Cao, Hongcheng Gao, Cheng Wang, Xinfeng Li, Kun Wang, Junfeng Fang, Jiaheng Zhang, Bryan Hooi:
GuardReasoner-VL: Safeguarding VLMs via Reinforced Reasoning. CoRR abs/2505.11049 (2025) - [i18]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:
EffiBench-X: A Multi-Language Benchmark for Measuring Efficiency of LLM-Generated Code. CoRR abs/2505.13004 (2025) - [i17]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:
Efficient Reasoning via Chain of Unconscious Thought. CoRR abs/2505.19756 (2025) - [i16]Mingzhe Du, Luu Tuan Tuan, Yue Liu, Yuhao Qing, Dong Huang, Xinyi He, Qian Liu, Zejun Ma, See-Kiong Ng:
Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization. CoRR abs/2505.23387 (2025) - [i15]Xinyi He, Qian Liu, Mingzhe Du, Lin Yan, Zhijie Fan, Yiming Huang, Zejian Yuan, Zejun Ma:
SWE-Perf: Can Language Models Optimize Code Performance on Real-World Repositories? CoRR abs/2507.12415 (2025) - [i14]Dong Huang, Jie M. Zhang, Mark Harman, Qianru Zhang, Mingzhe Du, See-Kiong Ng:
Benchmarking LLMs for Unit Test Generation from Real-World Functions. CoRR abs/2508.00408 (2025) - [i13]Zhaomin Wu, Mingzhe Du, See-Kiong Ng, Bingsheng He:
Beyond Prompt-Induced Lies: Investigating LLM Deception on Benign Prompts. CoRR abs/2508.06361 (2025) - [i12]Dong Huang, Mingzhe Du, Jie M. Zhang, Zheng Lin, Meng Luo, Qianru Zhang, See-Kiong Ng:
Nexus: Execution-Grounded Multi-Agent Test Oracle Synthesis. CoRR abs/2510.26423 (2025) - 2024
- [j6]Mingzhe Du, Michael L. Scott:
Buffered Persistence in B+ Trees. Proc. ACM Manag. Data 2(6): 226:1-226:24 (2024) - [j5]Shengcheng Yu, Chunrong Fang, Quanjun Zhang, Mingzhe Du, Jia Liu, Zhenyu Chen:
Semi-supervised Crowdsourced Test Report Clustering via Screenshot-Text Binding Rules. Proc. ACM Softw. Eng. 1(FSE): 1540-1563 (2024) - [j4]Shengcheng Yu, Chunrong Fang, Mingzhe Du, Zimin Ding, Zhenyu Chen, Zhendong Su:
Practical, Automated Scenario-Based Mobile App Testing. IEEE Trans. Software Eng. 50(7): 1949-1966 (2024) - [c17]Bin Ji, Huijun Liu, Mingzhe Du, See-Kiong Ng:
Chain-of-Thought Improves Text Generation with Citations in Large Language Models. AAAI 2024: 18345-18353 - [c16]Mingzhe Du, Anh Tuan Luu, Bin Ji, See-Kiong Ng:
From Static to Dynamic: Knowledge Metabolism for Large Language Models. AAAI 2024: 23784-23786 - [c15]Sujatha Das Gollapalli, Beng Heng Ang, Mingzhe Du, See-Kiong Ng:
Counseling Responses for Mental Health Forum Questions with Early Maladaptive Schema Prediction. ECAI 2024: 2556-2563 - [c14]Shengcheng Yu, Chunrong Fang, Mingzhe Du, Yuchen Ling, Zhenyu Chen, Zhendong Su:
Practical Non-Intrusive GUI Exploration Testing with Visual-based Robotic Arms. ICSE 2024: 130:1-130:13 - [c13]Mingzhe Du, Anh Tuan Luu, Bin Ji, Qian Liu, See-Kiong Ng:
Mercury: A Code Efficiency Benchmark for Code Large Language Models. NeurIPS 2024 - [i11]Mingzhe Du, Anh Tuan Luu, Bin Ji, See-Kiong Ng:
Mercury: An Efficiency Benchmark for LLM Code Synthesis. CoRR abs/2402.07844 (2024) - [i10]Shengcheng Yu, Chunrong Fang, Mingzhe Du, Zimin Ding, Zhenyu Chen, Zhendong Su:
Practical, Automated Scenario-based Mobile App Testing. CoRR abs/2406.08340 (2024) - [i9]Dong Huang, Jie M. Zhang, Mingzhe Du, Mark Harman, Heming Cui:
Rethinking the Influence of Source Code on Test Case Generation. CoRR abs/2409.09464 (2024) - [i8]Duc Anh Vu, Cong-Duy T. Nguyen, Xiaobao Wu, Nhat Minh Hoang, Mingzhe Du, Thong Nguyen, Anh Tuan Luu:
Curriculum Demonstration Selection for In-Context Learning. CoRR abs/2411.18126 (2024) - [i7]Xiaobao Wu, Liangming Pan, Yuxi Xie, Ruiwen Zhou, Shuai Zhao, Yubo Ma, Mingzhe Du, Rui Mao, Anh Tuan Luu, William Yang Wang:
AntiLeak-Bench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge. CoRR abs/2412.13670 (2024) - 2023
- [j3]Mingzhe Du, Mouad Hakam, See-Kiong Ng, Stéphane Bressan:
Constituency-Informed and Constituency-Constrained Extractive Question Answering with Heterogeneous Graph Transformer. Trans. Large Scale Data Knowl. Centered Syst. 53: 90-106 (2023) - [c12]Sujatha Das Gollapalli, Mingzhe Du, See-Kiong Ng:
Generating Reflective Questions for Engaging Gallery Visitors in ArtMuse. AAAI 2023: 16434-16436 - [c11]Sujatha Das Gollapalli, Mingzhe Du, See-Kiong Ng:
Identifying Checkworthy CURE Claims on Twitter. WWW 2023: 4015-4019 - [i6]Mingzhe Du, Anh Tuan Luu, Bin Ji, See-Kiong Ng:
From Static to Dynamic: A Continual Learning Framework for Large Language Models. CoRR abs/2310.14248 (2023) - [i5]Shengcheng Yu, Chunrong Fang, Mingzhe Du, Yuchen Ling, Zhenyu Chen, Zhendong Su:
Practical Non-Intrusive GUI Exploration Testing with Visual-based Robotic Arms. CoRR abs/2312.10655 (2023) - 2022
- [c10]Mingzhe Du, Sujatha Das Gollapalli, See-Kiong Ng:
NUS-IDS at CheckThat!2022: Identifying Check-worthiness of Tweets using CheckthaT5. CLEF (Working Notes) 2022: 468-477 - [c9]Mingzhe Du, Shengcheng Yu, Chunrong Fang, Tongyu Li, Heyuan Zhang, Zhenyu Chen:
SemCluster: a semi-supervised clustering tool for crowdsourced test reports with deep image understanding. ESEC/SIGSOFT FSE 2022: 1756-1759 - [i4]Mingzhe Du:
Image Semantic Relation Generation. CoRR abs/2210.11253 (2022) - 2021
- [c8]Haosen Wen, Wentao Cai, Mingzhe Du, Louis Jenkins, Benjamin Valpey, Michael L. Scott:
A Fast, General System for Buffered Persistent Data Structures. ICPP 2021: 73:1-73:11 - [c7]Wentao Cai, Haosen Wen, Vladimir Maksimovski, Mingzhe Du, Rafaello Sanna, Shreif Abdallah, Michael L. Scott:
Fast Nonblocking Persistence for Concurrent Data Structures. DISC 2021: 14:1-14:20 - [i3]Wentao Cai, Haosen Wen, Vladimir Maksimovski, Mingzhe Du, Rafaello Sanna, Shreif Abdallah, Michael L. Scott:
Fast Nonblocking Persistence for Concurrent Data Structures. CoRR abs/2105.09508 (2021) - [i2]Shengcheng Yu, Chunrong Fang, Tongyu Li, Mingzhe Du, Xuan Li, Jing Zhang, Yexiao Yun, Xu Wang, Zhenyu Chen:
Automated Mobile App Test Script Intent Generation via Image and Code Understanding. CoRR abs/2107.05165 (2021) - 2020
- [j2]Mingzhe Du, Yang Wang, Kejiang Ye, Chengzhong Xu:
Algorithmics of Cost-Driven Computation Offloading in the Edge-Cloud Environment. IEEE Trans. Computers 69(10): 1519-1532 (2020) - [c6]Haosen Wen, Wentao Cai, Mingzhe Du, Benjamin Valpey, Michael L. Scott:
Brief Announcement: Building Fast Recoverable Persistent Data Structures with Montage. DISC 2020: 52:1-52:3 - [i1]Haosen Wen, Wentao Cai, Mingzhe Du, Louis Jenkins, Benjamin Valpey, Michael L. Scott:
Montage: A General System for Buffered Durably Linearizable Data Structures. CoRR abs/2009.13701 (2020)
2010 – 2019
- 2019
- [c5]Mingzhe Du, José M. Vidal, Barry Markovsky:
Wikitheoria: A Computational Framework for Parsimonious Sociology Theory Construction. ACIT 2019: 1:1-1:5 - [c4]Zaid Alibadi, Mingzhe Du, José M. Vidal:
Using Pre-trained Embeddings to Detect the Intent of an Email. ACIT 2019: 2:1-2:7 - [c3]Mingzhe Du, José M. Vidal, Barry Markovsky:
SOREC: A Semantic Content-Based Recommendation System for Parsimonious Sociology Theory Construction. BigDataService 2019: 138-144 - [c2]Mingzhe Du, Yang Wang, Cheng-Zhong Xu:
On Cost-Driven Computation Offloading in the Edge: A New Model Approach. CCGRID 2019: 488-497 - 2018
- [c1]Xingsheng Zhao, Jingwen Shi, Mingzhe Du, Fan Ni, Song Jiang, Yang Wang:
A Road-Aware Spatial Mapping for Moving Objects. IPCCC 2018: 1-8 - 2017
- [j1]Yinkui Li, Mingzhe Du, Hongyan Li, Xiaolin Wang:
Edge Rupture Degree of Graphs. Int. J. Found. Comput. Sci. 28(8): 993-1006 (2017)
Coauthor Index
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last updated on 2026-03-31 00:26 CEST by the dblp team
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