Edge Rupture Degree of Graphs. - Yinkui Li; Mingzhe Du; Hongyan Li; Xiaolin Wang (Int. J. Found. Comput. Sci., 2017)

A Road-Aware Spatial Mapping for Moving Objects. - Xingsheng Zhao; Jingwen Shi; Mingzhe Du; Fan Ni; Song Jiang 001; Yang Wang 006 (IPCCC, 2018)

Using Pre-trained Embeddings to Detect the Intent of an Email. - Zaid Alibadi; Mingzhe Du; José M. Vidal (ACIT, 2019)

Wikitheoria: A Computational Framework for Parsimonious Sociology Theory Construction. - Mingzhe Du; José M. Vidal; Barry Markovsky (ACIT, 2019)

SOREC: A Semantic Content-Based Recommendation System for Parsimonious Sociology Theory Construction. - Mingzhe Du; José M. Vidal; Barry Markovsky (BigDataService, 2019)

On Cost-Driven Computation Offloading in the Edge: A New Model Approach. - Mingzhe Du; Yang Wang 006; Cheng-Zhong Xu 001 (CCGRID, 2019)

Brief Announcement: Building Fast Recoverable Persistent Data Structures with Montage. - Haosen Wen; Wentao Cai 002; Mingzhe Du; Benjamin Valpey; Michael L. Scott (DISC, 2020)

Montage: A General System for Buffered Durably Linearizable Data Structures. - Haosen Wen; Wentao Cai 002; Mingzhe Du; Louis Jenkins; Benjamin Valpey; Michael L. Scott (CoRR, 2020)

Algorithmics of Cost-Driven Computation Offloading in the Edge-Cloud Environment. - Mingzhe Du; Yang Wang 006; Kejiang Ye; Chengzhong Xu 001 (IEEE Trans. Computers, 2020)

A Fast, General System for Buffered Persistent Data Structures. - Haosen Wen; Wentao Cai 002; Mingzhe Du; Louis Jenkins; Benjamin Valpey; Michael L. Scott (ICPP, 2021)

Fast Nonblocking Persistence for Concurrent Data Structures. - Wentao Cai 002; Haosen Wen; Vladimir Maksimovski; Mingzhe Du; Rafaello Sanna; Shreif Abdallah; Michael L. Scott (DISC, 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 001 (CoRR, 2021)

NUS-IDS at CheckThat!2022: Identifying Check-worthiness of Tweets using CheckthaT5. - Mingzhe Du; Sujatha Das Gollapalli; See-Kiong Ng (CLEF (Working Notes), 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 001 (ESEC/SIGSOFT FSE, 2022)

Image Semantic Relation Generation. - Mingzhe Du (CoRR, 2022)

Generating Reflective Questions for Engaging Gallery Visitors in ArtMuse. - Sujatha Das Gollapalli; Mingzhe Du; See-Kiong Ng (AAAI, 2023)

Identifying Checkworthy CURE Claims on Twitter. - Sujatha Das Gollapalli; Mingzhe Du; See-Kiong Ng (WWW, 2023)

From Static to Dynamic: A Continual Learning Framework for Large Language Models. - Mingzhe Du; Anh Tuan Luu; Bin Ji 002; See-Kiong Ng (CoRR, 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: Knowledge Metabolism for Large Language Models. - Mingzhe Du; Anh Tuan Luu; Bin Ji 002; See-Kiong Ng (AAAI, 2024)

Chain-of-Thought Improves Text Generation with Citations in Large Language Models. - Bin Ji 002; Huijun Liu 003; Mingzhe Du; See-Kiong Ng (AAAI, 2024)

Counseling Responses for Mental Health Forum Questions with Early Maladaptive Schema Prediction. - Sujatha Das Gollapalli; Beng Heng Ang; Mingzhe Du; See-Kiong Ng (ECAI, 2024)

Practical Non-Intrusive GUI Exploration Testing with Visual-based Robotic Arms. - Shengcheng Yu; Chunrong Fang; Mingzhe Du; Yuchen Ling; Zhenyu Chen 001; Zhendong Su 001 (ICSE, 2024)

Mercury: A Code Efficiency Benchmark for Code Large Language Models. - Mingzhe Du; Anh Tuan Luu; Bin Ji 002; Qian Liu 012; See-Kiong Ng (NeurIPS, 2024)

Mercury: An Efficiency Benchmark for LLM Code Synthesis. - Mingzhe Du; Anh Tuan Luu; Bin Ji 002; See-Kiong Ng (CoRR, 2024)

Rethinking the Influence of Source Code on Test Case Generation. - Dong Huang 005; Jie M. Zhang; Mingzhe Du; Mark Harman; Heming Cui (CoRR, 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 007; Yubo Ma; Mingzhe Du; Rui Mao 010; Anh Tuan Luu; William Yang Wang (CoRR, 2024)

Semi-supervised Crowdsourced Test Report Clustering via Screenshot-Text Binding Rules. - Shengcheng Yu; Chunrong Fang; Quanjun Zhang; Mingzhe Du; Jia Liu 015; Zhenyu Chen 001 (Proc. ACM Softw. Eng., 2024)

Practical, Automated Scenario-Based Mobile App Testing. - Shengcheng Yu; Chunrong Fang; Mingzhe Du; Zimin Ding; Zhenyu Chen 001; Zhendong Su 001 (IEEE Trans. Software Eng., 2024)

Buffered Persistence in B+ Trees. - Mingzhe Du; Michael L. Scott (Proc. ACM Manag. Data, 2024)

Towards Verifiable Text Generation with Generative Agent. - Bin Ji 002; Huijun Liu 003; Mingzhe Du; Shasha Li 001; Xiaodong Liu 004; Jun Ma 015; Jie Yu 008; See-Kiong Ng (AAAI, 2025)

AntiLeakBench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge. - Xiaobao Wu; Liangming Pan; Yuxi Xie; Ruiwen Zhou; Shuai Zhao 007; Yubo Ma; Mingzhe Du; Rui Mao 010; Anh Tuan Luu; William Yang Wang (ACL (1), 2025)

Buffered Persistence in B+ Trees (Abstract). - Mingzhe Du; Michael L. Scott (HOPC@SPAA, 2025)

Curriculum Demonstration Selection for In-Context Learning. - Duc Anh Vu 002; Cong-Duy Nguyen; Xiaobao Wu; Nhat M. Hoang; Mingzhe Du; Thong Nguyen 003; Anh Tuan Luu (SAC, 2025)

Reconciling Hardware Transactional Memory and Persistent Programming with Buffered Durability. - Mingzhe Du; Ziheng Su; Michael L. Scott (SPAA, 2025)

CodeArena: A Collective Evaluation Platform for LLM Code Generation. - Mingzhe Du; Anh Tuan Luu; Bin Ji 002; Xiaobao Wu; Dong Huang 005; Terry Yue Zhuo; Qian Liu 012; See-Kiong Ng (CoRR, 2025)

GuardReasoner-VL: Safeguarding VLMs via Reinforced Reasoning. - Yue Liu 008; Shengfang Zhai; Mingzhe Du; Yulin Chen; Tri Cao; Hongcheng Gao; Cheng Wang; Xinfeng Li; Kun Wang 056; Junfeng Fang; Jiaheng Zhang; Bryan Hooi (CoRR, 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 005; See-Kiong Ng; Luu Anh Tuan (CoRR, 2025)

Efficient Reasoning via Chain of Unconscious Thought. - Ruihan Gong; Yue Liu 008; Wenjie Qu 001; Mingzhe Du; Yufei He; Yingwei Ma; Yulin Chen; Xiang Liu; Yi Wen 001; Xinfeng Li; Ruidong Wang; Xinzhong Zhu; et al. (CoRR, 2025)

Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization. - Mingzhe Du; Luu Tuan Tuan; Yue Liu 008; Yuhao Qing; Dong Huang 005; Xinyi He; Qian Liu 012; Zejun Ma; See-Kiong Ng (CoRR, 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, 2025)

Benchmarking LLMs for Unit Test Generation from Real-World Functions. - Dong Huang 005; Jie M. Zhang; Mark Harman; Qianru Zhang; Mingzhe Du; See-Kiong Ng (CoRR, 2025)

Beyond Prompt-Induced Lies: Investigating LLM Deception on Benign Prompts. - Zhaomin Wu; Mingzhe Du; See-Kiong Ng; Bingsheng He (CoRR, 2025)