Deep Learning-Based Self-Admitted Technical Debt Detection Empirical Research von Yubin Qu, Yubin Qu, Yubin Qu, Tie Bao, Tie Bao, Meng Yuan, Meng Yuan, Long Li

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Empirical Research for Self-Admitted Technical Debt Detection in Blockchain Software Projects von Yubin, Qu, W. Eric, Wong, dongcheng, Li

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Can We Predict Student Performance Based on Tabular and Textual Data? von Qu, Yubin, Li, Fang, Li, Long, Dou, Xianzhen, Wang, Hongmei

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An Empirical Study of Gradient-based Explainability Techniques for Self-admitted Technical Debt Detection von Guoqiang Zhuang, Guoqiang Zhuang, Guoqiang Zhuang, Yubin Qu, Yubin Qu, Long Li, Long Li, Xianzhen Dou, Xianzhen Dou, Mengao Li

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LAL: Meta-Active Learning-based Software Defect Prediction von Yubin, Qu, Fang, Li, Xiang, Chen

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Empirical Evaluation on the Impact of Class Overlap for EEG-Based Early Epileptic Seizure Detection von Qu, Yubin, Chen, Xiang, Li, Fang, Yang, Fan, Ji, Junxia, Li, Long

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Active Learning using Uncertainty Sampling and Query-by-Committee for Software Defect Prediction von Yubin, Qu, Xiang, Chen, Ruijie, Chen, Xiaolin, Ju, Jiangfeng, Guo

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A survey on robustness attacks for deep code models von Qu, Yubin, Huang, Song, Yao, Yongming

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An input-denoising-based defense against stealthy backdoor attacks in large language models for code von Qu, Yubin, Huang, Song, Chen, Xiang, Bai, Tongtong, Yao, Yongming

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Detection of backdoor attacks using targeted universal adversarial perturbations for deep neural networks von Qu, Yubin, Huang, Song, Chen, Xiang, Wang, Xingya, Yao, Yongming

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CriticalFuzz: A critical neuron coverage-guided fuzz testing framework for deep neural networks von Bai, Tongtong, Huang, Song, Huang, Yifan, Wang, Xingya, Xia, Chunyan, Qu, Yubin, Yang, Zhen

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Do we need to pay technical debt in blockchain software systems? von Qu, Yubin, Bao, Tie, Chen, Xiang, Li, Long, Dou, Xianzhen, Yuan, Meng, Wang, Hongmei

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Active Learning Empirical Research on Cross-Version Software Defect Prediction Datasets von Li, Fang, Qu, Yubin, Ji, Junxia, Zhang, Dejun, Li, Long

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Do different cross‐project defect prediction methods identify the same defective modules? von Chen, Xiang, Mu, Yanzhou, Qu, Yubin, Ni, Chao, Liu, Meng, He, Tong, Liu, Shangqing

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The Discovery of N‑(1-Methyl-5-(trifluoromethyl)‑1H‑pyrazol-3-yl)-5-((6- ((methylamino)methyl)pyrimidin-4-yl)oxy)‑1H‑indole-1-carboxamide (Acrizanib), a VEGFR‑2 Inhibitor Specifica... von Adams, Christopher M, Anderson, Karen, Artman, Gerald, Bizec, Jean-Claude, Cepeda, Rosemarie, Elliott, Jason, Fassbender, Elizabeth, Ghosh, Malay, Hanks, Shawn, Hardegger, Leo A, Hosagrahara, Vinayak P, Jaffee, Bruce, Jendza, Keith, Ji, Nan, Johnson, Leland, Lee, Wendy, Liu, Donglei, Liu, Fang, Long, Debby, Ma, Fupeng, Mainolfi, Nello, Meredith, Erik L, Miranda, Karl, Peng, Yao, Poor, Stephen, Powers, James, Qiu, Yubin, Rao, Chang, Shen, Siyuan, Sivak, Jeremy M, Solovay, Catherine, Tarsa, Peter, Woolfenden, Amber, Zhang, Chun, Zhang, Yiqin

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Brain wave acquisition terminal for English listening based on Internet of Things von QU YUBIN

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Defect positioning method for software repository mining von YANG FAN, QU YUBIN

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Construction site attendance system and attendance method von QU YUBIN

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Comb-type cylindrical axial-flow drum von YUBIN QU, XUESHAN LI, KUNJUN SUN

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Method for clustering and analyzing features and eliminating irrelevant features according to correlation among features von LI FANG, QU YUBIN

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