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ORCIDQiao Yu
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.
Person information
Other persons with a similar name
- Yu Qiao — disambiguation page
- Yu-Long Qiao
- Yue Qiao
- Yu Qiao 0001
![[0000-0002-1889-2567]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-1889-2567")
— Shanghai AI Laboratory, OpenGVLab, China (and 3 more) - Yu Qiao 0002 — Biomedical Imaging Lab, Singapore
- Yu Qiao 0003 — Shanghai Jiao Tong University, Department of Automation, Institute of Image Processing and Pattern Recognition, China (and 1 more)
- Yu Qiao 0004 — Kyung Hee University, School of Computing, Department of Artificial Intelligence, Yongin, South Korea (and 1 more)
- Yu Qiao 0005 — RWTH Aachen University, Germany
- Yu Qiao 0006 — Nanjing University, National Key Laboratory for Novel Software Technology, Department of Computer Science and Technology, China
- James Jian Qiao Yu (aka: James Jianqiao Yu, James J. Q. Yu)
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2020 – today
- 2024
[j34]Yi Zhu, Yuxiang Gao, Qiao Yu:
An Empirical Study on Model-Agnostic Techniques for Source Code-Based Defect Prediction. Int. J. Softw. Eng. Knowl. Eng. 34(3): 511-544 (2024)- [j33]Jian Wang, Qiao Yu, Yafei Shi, Cheng Yang, Sheng-yun Ji, Yu Zheng:
A New Determining Method for Ionospheric F2-Region Peak Electron Density Height. Remote. Sens. 16(3): 531 (2024) - [j32]Qiao Yu, Xiaobin Men, Jian Wang:
A Prediction Model of Ionospheric Total Electron Content Based on Grid-Optimized Support Vector Regression. Remote. Sens. 16(15): 2701 (2024) - [j31]Qiao Yu, Yi Zhu, Hui Han, Yu Zhao, Shujuan Jiang, Junyan Qian:
Evolutionary measures and their correlations with the performance of cross-version defect prediction for object-oriented projects. J. Softw. Evol. Process. 36(6) (2024) - [j30]Yuan Tang, Xianzhi Li, Jinfeng Xu, Qiao Yu, Long Hu, Yixue Hao, Min Chen:
Point-LGMask: Local and Global Contexts Embedding for Point Cloud Pre-Training With Multi-Ratio Masking. IEEE Trans. Multim. 26: 8360-8370 (2024) - [c16]Qiao Yu, Wengui Zhang, Min Zhou, Jialiang Yu, Zhenli Sheng, Jasmin Bogatinovski, Jorge Cardoso, Odej Kao:
Investigating Memory Failure Prediction Across CPU Architectures. DSN-S 2024: 88-95 - [c15]Qiao Yu, Jorge Cardoso, Odej Kao:
Unveiling DRAM Failures Across Different CPU Architectures in Large-Scale Datacenters. ICDCS 2024: 1462-1463 - [c14]Yuan Tang, Xu Han, Xianzhi Li, Qiao Yu, Yixue Hao, Long Hu, Min Chen:
MiniGPT-3D: Efficiently Aligning 3D Point Clouds with Large Language Models using 2D Priors. ACM Multimedia 2024: 6617-6626 - [c13]Xi Ding, Yi Zhu, Qiao Yu, Chongyang Huang:
A Model-Agnostic Interpretability Approach Based on Enhanced Hierarchical Clustering. QRS Companion 2024: 583-590 - [i10]Yuan Tang, Xu Han, Xianzhi Li, Qiao Yu, Yixue Hao, Long Hu, Min Chen:
MiniGPT-3D: Efficiently Aligning 3D Point Clouds with Large Language Models using 2D Priors. CoRR abs/2405.01413 (2024) - [i9]Qiao Yu, Wengui Zhang, Min Zhou, Jialiang Yu, Zhenli Sheng, Jasmin Bogatinovski, Jorge Cardoso, Odej Kao:
Investigating Memory Failure Prediction Across CPU Architectures. CoRR abs/2406.05354 (2024) - [i8]Qiao Yu, Xianzhi Li, Yuan Tang, Jinfeng Xu, Long Hu, Yixue Hao, Min Chen:
PointDreamer: Zero-shot 3D Textured Mesh Reconstruction from Colored Point Cloud by 2D Inpainting. CoRR abs/2406.15811 (2024) - [i7]Yuan Tang, Xu Han, Xianzhi Li, Qiao Yu, Jinfeng Xu, Yixue Hao, Long Hu, Min Chen:
More Text, Less Point: Towards 3D Data-Efficient Point-Language Understanding. CoRR abs/2408.15966 (2024) - 2023
- [j29]Jian Wang, Qiao Yu, Yafei Shi, Yiran Liu, Cheng Yang:
An Explainable Dynamic Prediction Method for Ionospheric foF2 Based on Machine Learning. Remote. Sens. 15(5): 1256 (2023) - [j28]Jian Wang, Qiao Yu, Yafei Shi, Cheng Yang:
A Prediction Method of Ionospheric hmF2 Based on Machine Learning. Remote. Sens. 15(12): 3154 (2023) - [j27]Yuan Tang, Ning Zhou, Qiao Yu, Di Wu, Chong Hou, Guangming Tao, Min Chen:
Intelligent Fabric Enabled 6G Semantic Communication System for In-Cabin Scenarios. IEEE Trans. Intell. Transp. Syst. 24(1): 1153-1162 (2023) - [c12]Jinfeng Xu, Xianzhi Li, Yuan Tang, Qiao Yu, Yixue Hao, Long Hu, Min Chen:
CasFusionNet: A Cascaded Network for Point Cloud Semantic Scene Completion by Dense Feature Fusion. AAAI 2023: 3018-3026 - [c11]Paolo Notaro, Qiao Yu, Soroush Haeri, Jorge Cardoso, Michael Gerndt:
An Optical Transceiver Reliability Study based on SFP Monitoring and OS-level Metric Data. CCGrid 2023: 1-12 - [c10]Ao Xu, Yi Zhu, Yuxiang Gao, Qiao Yu, Guosheng Hao:
Validity Analysis of Software Defect Prediction Model for Mis-label Correction Based on CleanLab. DSA 2023: 233-241 - [c9]Qiao Yu, Wengui Zhang, Paolo Notaro, Soroush Haeri, Jorge Cardoso, Odej Kao:
HiMFP: Hierarchical Intelligent Memory Failure Prediction for Cloud Service Reliability. DSN 2023: 216-228 - [c8]Qiao Yu, Wengui Zhang, Jorge Cardoso, Odej Kao:
Exploring Error Bits for Memory Failure Prediction: An In-Depth Correlative Study. ICCAD 2023: 1-9 - [i6]Peng Gao, Renrui Zhang, Rongyao Fang, Ziyi Lin, Hongyang Li, Hongsheng Li, Qiao Yu:
Mimic before Reconstruct: Enhancing Masked Autoencoders with Feature Mimicking. CoRR abs/2303.05475 (2023) - [i5]Qiao Yu, Wengui Zhang, Jorge Cardoso, Odej Kao:
Exploring Error Bits for Memory Failure Prediction: An In-Depth Correlative Study. CoRR abs/2312.02855 (2023) - 2022
- [j26]Yu Zhao, Yi Zhu, Qiao Yu, Xiaoying Chen:
Cross-Project Defect Prediction Considering Multiple Data Distribution Simultaneously. Symmetry 14(2): 401 (2022) - [j25]Qiao Yu, Rui Wang, Jia Liu, Long Hu, Min Chen, Zhongchun Liu:
GNN-Based Depression Recognition Using Spatio-Temporal Information: A fNIRS Study. IEEE J. Biomed. Health Informatics 26(10): 4925-4935 (2022) - [c7]Qiao Yu, Shujuan Jiang, Yi Zhu, Hui Han, Yu Zhao, Yuanpeng Jiang:
The Change of Code Metrics for Predicting the Label Change on Evolutionary Projects: An Empirical Study. WISA 2022: 305-313 - [c6]Jasmin Bogatinovski, Odej Kao, Qiao Yu, Jorge Cardoso:
First CE Matters: On the Importance of Long Term Properties on Memory Failure Prediction. IEEE Big Data 2022: 4733-4736 - [c5]Qiao Yu, Yi Zhu, Hui Han, Yu Zhao, Shujuan Jiang, Junyan Qian:
Evolutionary Measures for Object-oriented Projects and Impact on the Performance of Cross-version Defect Prediction. Internetware 2022: 192-201 - [c4]Yuxiang Gao, Yi Zhu, Qiao Yu:
Evaluating the effectiveness of local explanation methods on source code-based defect prediction models. MSR 2022: 640-645 - [i4]Zhiqi Li, Wenhai Wang, Hongyang Li, Enze Xie, Chonghao Sima, Tong Lu, Qiao Yu, Jifeng Dai:
BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers. CoRR abs/2203.17270 (2022) - [i3]Jinfeng Xu, Xianzhi Li, Yuan Tang, Qiao Yu, Yixue Hao, Long Hu, Min Chen:
CasFusionNet: A Cascaded Network for Point Cloud Semantic Scene Completion by Dense Feature Fusion. CoRR abs/2211.13702 (2022) - [i2]Jasmin Bogatinovski, Qiao Yu, Jorge Cardoso, Odej Kao:
First CE Matters: On the Importance of Long Term Properties on Memory Failure Prediction. CoRR abs/2212.10441 (2022) - 2021
- [j24]Xianzhi Li, Qiao Yu, Bander A. Alzahrani, Ahmed Barnawi, Ahmad Alhindi, Daniyal M. Alghazzawi, Yiming Miao:
Data Fusion for Intelligent Crowd Monitoring and Management Systems: A Survey. IEEE Access 9: 47069-47083 (2021) - [j23]Qiao Yu, Wenjing Xiao, Sheng Jiang, Mohammed F. Alhamid, Ghulam Muhammad, M. Shamim Hossain:
Emotion-aware mobile edge computing system: A case study. Comput. Electr. Eng. 92: 107120 (2021) - [j22]Yu Zhao, Yi Zhu, Qiao Yu, Xiaoying Chen:
Cross-Project Defect Prediction Method Based on Manifold Feature Transformation. Future Internet 13(8): 216 (2021) - [j21]Rui Wang, Bing Xiang Yang, Yujun Ma, Peilin Wang, Qiao Yu, Xiaofen Zong, Zhen Huang, Simeng Ma, Long Hu, Kai Hwang, Zhongchun Liu:
Medical-Level Suicide Risk Analysis: A Novel Standard and Evaluation Model. IEEE Internet Things J. 8(23): 16825-16834 (2021) - [j20]Rui Wang, Yixue Hao, Qiao Yu, Min Chen, Iztok Humar, Giancarlo Fortino:
Depression Analysis and Recognition Based on Functional Near-Infrared Spectroscopy. IEEE J. Biomed. Health Informatics 25(12): 4289-4299 (2021) - [j19]Shujuan Jiang, Miao Zhang, Yanmei Zhang, Rongcun Wang, Qiao Yu, Jacky Wai Keung:
An Integration Test Order Strategy to Consider Control Coupling. IEEE Trans. Software Eng. 47(7): 1350-1367 (2021) - [j18]Qiao Yu, Long Hu, Bander A. Alzahrani, Ahmed Barnawi, Ahmad Alhindi, Min Chen:
Intelligent Visual-IoT-Enabled Real-Time 3D Visualization for Autonomous Crowd Management. IEEE Wirel. Commun. 28(4): 34-41 (2021) - [i1]Shujuan Jiang, Miao Zhang, Yanmei Zhang, Rongcun Wang, Qiao Yu, Jacky Wai Keung:
An Integration Test Order Strategy to Consider Control Coupling. CoRR abs/2103.09471 (2021) - 2020
- [j17]Li Jiang, Shujuan Jiang, Lina Gong, Yue Dong, Qiao Yu:
Which Process Metrics Are Significantly Important to Change of Defects in Evolving Projects: An Empirical Study. IEEE Access 8: 93705-93722 (2020) - [j16]Lili Bo, Shujuan Jiang, Rongcun Wang, Qiao Yu:
A bidirectional trace simplification approach based on a context switch linked list for concurrent programs. Concurr. Comput. Pract. Exp. 32(2) (2020) - [j15]Rongcun Wang, Shujuan Jiang, Kun Zhang, Qiao Yu:
Improving the Accuracy of Spectrum-Based Fault Localization Using Multiple Rules. IEICE Trans. Inf. Syst. 103-D(6): 1328-1338 (2020) - [j14]Qiao Yu, Shujuan Jiang, Junyan Qian, Lili Bo, Li Jiang, Gongjie Zhang:
Process metrics for software defect prediction in object-oriented programs. IET Softw. 14(3): 283-292 (2020) - [c3]Qiao Yu, Kuan-Hsun Chen, Jian-Jia Chen:
Using a Set of Triangle Inequalities to Accelerate K-means Clustering. SISAP 2020: 297-311
2010 – 2019
- 2019
- [j13]Qiao Yu, Junyan Qian, Shujuan Jiang, Zhenhua Wu, Gongjie Zhang:
An Empirical Study on the Effectiveness of Feature Selection for Cross-Project Defect Prediction. IEEE Access 7: 35710-35718 (2019) - [j12]Jing Duan, Shujuan Jiang, Qiao Yu, Kai Lu, Xu Zhang, Yiwen Yao:
An Automatic Localization Tool for Null Pointer Exceptions. IEEE Access 7: 153453-153465 (2019) - [j11]Lina Gong, Shujuan Jiang, Qiao Yu, Li Jiang:
Unsupervised Deep Domain Adaptation for Heterogeneous Defect Prediction. IEICE Trans. Inf. Syst. 102-D(3): 537-549 (2019) - [j10]Yong Wang, Zhiqiu Huang, Yong Li, Rongcun Wang, Qiao Yu:
Spectrum-Based Fault Localization Framework to Support Fault Understanding. IEICE Trans. Inf. Syst. 102-D(4): 863-866 (2019) - [j9]Lili Bo, Shujuan Jiang, Yanmei Zhang, Xingya Wang, Qiao Yu:
并发缺陷检测技术研究进展 (Research Progress on Techniques for Concurrency Bug Detection). 计算机科学 46(5): 13-20 (2019) - [j8]Qiao Yu, Fenfen Zhai, Hong Zhou, Zonghua Wang:
Aptamer Conformation Switching-Induced Two-Stage Amplification for Fluorescent Detection of Proteins. Sensors 19(1): 77 (2019) - [j7]Gongjie Zhang, Chunli Xie, Yongquan Dong, Qiao Yu:
Mutant Selecting According to the Nondominated Original Statements. Sci. Program. 2019: 4702345:1-4702345:11 (2019) - 2018
- [j6]Yong Wang, Zhiqiu Huang, Rongcun Wang, Qiao Yu:
Spectrum-Based Fault Localization Using Fault Triggering Model to Refine Fault Ranking List. IEICE Trans. Inf. Syst. 101-D(10): 2436-2446 (2018) - 2017
- [j5]Qiao Yu, Shujuan Jiang, Yanmei Zhang:
The Performance Stability of Defect Prediction Models with Class Imbalance: An Empirical Study. IEICE Trans. Inf. Syst. 100-D(2): 265-272 (2017) - [j4]Qiao Yu, Shujuan Jiang, Yanmei Zhang:
A feature matching and transfer approach for cross-company defect prediction. J. Syst. Softw. 132: 366-378 (2017) - [j3]Miao Zhang, Shujuan Jiang, Yanmei Zhang, Xingya Wang, Qiao Yu:
A multi-level feedback approach for the class integration and test order problem. J. Syst. Softw. 133: 54-67 (2017) - [j2]Qiao Yu, Shujuan Jiang, Rongcun Wang, Hong-yang Wang:
A feature selection approach based on a similarity measure for software defect prediction. Frontiers Inf. Technol. Electron. Eng. 18(11): 1744-1753 (2017) - [c2]Qiao Yu, Bi-Ru Dai:
Accelerating K-Means by Grouping Points Automatically. DaWaK 2017: 199-213 - 2016
- [c1]Qiao Yu, Shujuan Jiang, Junyan Qian:
Which Is More Important for Cross-Project Defect Prediction: Instance or Feature? SATE 2016: 90-95 - 2015
- [j1]Qiao Yu, Shujuan Jiang, Yingqi Liu:
A Detection and Measurement Approach for Memory Leaked Objects in Java Programs. IEICE Trans. Inf. Syst. 98-D(5): 1053-1061 (2015)
Coauthor Index
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