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Mingzhe Du
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2020 – today
- 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) - [c16]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 - [c15]Mingzhe Du, Anh Tuan Luu, Bin Ji, See-Kiong Ng:
From Static to Dynamic: Knowledge Metabolism for Large Language Models. AAAI 2024: 23784-23786 - [c14]Sujatha Das Gollapalli, Mingzhe Du, See-Kiong Ng:
Counseling Responses for Mental Health Forum Questions with Early Maladaptive Schema Prediction. ECAI 2024: 2556-2563 - [c13]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 - [i9]Mingzhe Du, Anh Tuan Luu, Bin Ji, See-Kiong Ng:
Mercury: An Efficiency Benchmark for LLM Code Synthesis. CoRR abs/2402.07844 (2024) - [i8]Shengcheng Yu, Chunrong Fang, Mingzhe Du, Zimin Ding, Zhenyu Chen, Zhendong Su:
Practical, Automated Scenario-based Mobile App Testing. CoRR abs/2406.08340 (2024) - [i7]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) - 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 2024-10-28 20:11 CET by the dblp team
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