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ORCIDQianqian Zhu
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
- 2024
[j14]Qianqian Zhu, Wei Wang, Changgong Shan, Yu Xie
, Peng Wu, Bin Liang, Xuan Peng, Zhengwei Qian, Cheng Liu:
Spatiotemporal Variations and Characteristics of CO, H2CO and HCN Emissions from Biomass Burning Monitored by FTIR Spectroscopy. Remote. Sens. 16(19): 3586 (2024)- [c18]Qianqian Zhu, Xuening Wu, Yingnan Liu, Jiayin Huang:
A comparative study of machine learning based importance measures for car insurance pricing factors. CCEAI 2024: 209-214 - [i6]Yujian Hu, Yilang Xiang, Yan-Jie Zhou, Yangyan He, Shifeng Yang, Xiaolong Du, Chunlan Den, Youyao Xu, Gaofeng Wang, Zhengyao Ding, Jingyong Huang, Wenjun Zhao, Xuejun Wu, Donglin Li, Qianqian Zhu, Zhenjiang Li, Chenyang Qiu, Ziheng Wu, Yunjun He, Chen Tian, Yihui Qiu, Zuodong Lin, Xiaolong Zhang, Yuan He, Zhenpeng Yuan, Xiaoxiang Zhou, Rong Fan, Ruihan Chen, Wenchao Guo, Jianpeng Zhang, Tony C. W. Mok, Zi Li, Le Lu, Dehai Lang, Xiaoqiang Li, Guofu Wang, Wei Lu, Zhengxing Huang, Minfeng Xu, Hongkun Zhang:
Rapid and Accurate Diagnosis of Acute Aortic Syndrome using Non-contrast CT: A Large-scale, Retrospective, Multi-center and AI-based Study. CoRR abs/2406.15222 (2024) - [i5]Xin Zhao, Qianqian Zhu, Jialing Wu:
AResNet-ViT: A Hybrid CNN-Transformer Network for Benign and Malignant Breast Nodule Classification in Ultrasound Images. CoRR abs/2407.19316 (2024) - 2023
- [j13]Peng Wu, Changgong Shan, Chen Liu, Yu Xie, Wei Wang, Qianqian Zhu, Xiangyu Zeng, Bin Liang:
Ground-Based Remote Sensing of Atmospheric Water Vapor Using High-Resolution FTIR Spectrometry. Remote. Sens. 15(14): 3484 (2023) - [j12]Xiangyu Zeng, Wei Wang, Changgong Shan, Yu Xie, Qianqian Zhu, Peng Wu, Bin Liang, Cheng Liu:
Detection of Atmospheric Hydrofluorocarbon-22 with Ground-Based Remote High-Resolution Fourier Transform Spectroscopy over Hefei and an Estimation of Emissions in the Yangtze River Delta. Remote. Sens. 15(23): 5590 (2023) - [c17]Fei Meng, Qianqian Zhu, Xuening Wu:
Vehicle Appearance Damage Detection Based on Mask R-CNN. PRIS 2023: 31-35 - [c16]Qianqian Zhu, Liu Yang, Yingnan Liu:
Research on vehicle spare parts demand forecast based on XGBoost-LightGBM. PRIS 2023: 109-114 - [c15]Ran Guan, Yishuo Zhang, Yun Zhang, Qianqian Zhu, Lin Chen:
Data-driven Spatial Super-Resolution for FMCW mmWave Sensing Systems. SECON 2023: 160-167 - [i4]Wei Zheng, Guogang Zhang, Chenchen Zhao, Qianqian Zhu:
Multichannel consecutive data cross-extraction with 1DCNN-attention for diagnosis of power transformer. CoRR abs/2310.07323 (2023) - 2022
- [c14]Jiahui Chen, Bowen Zhang, Qianqian Zhu:
Advantages of the New Retail Model in Fresh E-Commerce Supply Chain Management: a Case Study of Hema. IC4E 2022: 405-413 - 2021
- [j11]Qianqian Zhu, Andy Zaidman, Annibale Panichella:
How to kill them all: An exploratory study on the impact of code observability on mutation testing. J. Syst. Softw. 173: 110864 (2021) - [c13]Hang Li, Di Xiong, Yan Wang, Xin Ma, Qianqian Zhu:
Pixelation Algorithm for Computing the Intersection of Connected Graphs in Intelligent Damage Recognition. ICVISP 2021: 318-323 - [c12]Gang Huang, Yue Li, Qianqian Zhu, Chen-Guang He:
Modulation Classification of MQAM Signals Based on Gradient Color Constellation and Deep Learning. IWCMC 2021: 1309-1313 - [c11]Kenneth Heafield, Qianqian Zhu, Roman Grundkiewicz:
Findings of the WMT 2021 Shared Task on Efficient Translation. WMT@EMNLP 2021: 639-651 - [c10]Maximiliana Behnke, Nikolay Bogoychev, Alham Fikri Aji, Kenneth Heafield, Graeme Nail, Qianqian Zhu, Svetlana Tchistiakova, Jelmer van der Linde, Pinzhen Chen, Sidharth Kashyap, Roman Grundkiewicz:
Efficient Machine Translation with Model Pruning and Quantization. WMT@EMNLP 2021: 775-780 - 2020
- [b1]Qianqian Zhu:
The application perspective of mutatoin testing. Delft University of Technology, Netherlands, 2020 - [c9]Qianqian Zhu, Andy Zaidman:
Massively Parallel, Highly Efficient, but What About the Test Suite Quality? Applying Mutation Testing to GPU Programs. ICST 2020: 209-219 - [c8]Qianqian Zhu, Yue Li, Hongchang He, Gang Huang:
Cross-term suppression of multi-component signals based on improved STFT-Wigner. IWCMC 2020: 1082-1086
2010 – 2019
- 2019
- [j10]Qian Liu, Qiang Hu, Song Yao, Marilyn L. Kwan, Janise M. Roh, Hua Zhao, Christine B. Ambrosone, Lawrence H. Kushi, Song Liu, Qianqian Zhu:
SeqSQC: A Bioconductor Package for Evaluating the Sample Quality of Next-generation Sequencing Data. Genom. Proteom. Bioinform. 17(2): 211-218 (2019) - [i3]Qianqian Zhu, Andy Zaidman, Annibale Panichella:
How to kill them all: an exploratory study on the impact of code observability on mutation testing. PeerJ Prepr. 7: e27794 (2019) - 2018
- [j9]Qianqian Zhu, Annibale Panichella, Andy Zaidman:
A systematic literature review of how mutation testing supports quality assurance processes. Softw. Test. Verification Reliab. 28(6) (2018) - [c7]Qianqian Zhu, Annibale Panichella, Andy Zaidman:
An Investigation of Compression Techniques to Speed up Mutation Testing. ICST 2018: 274-284 - [c6]Qianqian Zhu, Andy Zaidman:
Mutation Testing for Physical Computing. QRS 2018: 289-300 - 2017
- [j8]Zhenyu Shan, Qianqian Zhu, Danna Zhao:
Vehicle collision risk estimation based on RGB-D camera for urban road. Multim. Syst. 23(1): 119-127 (2017) - [c5]Qianqian Zhu, Annibale Panichella, Andy Zaidman:
Speeding-Up Mutation Testing via Data Compression and State Infection. ICST Workshops 2017: 103-109 - 2016
- [i2]Qianqian Zhu, Annibale Panichella, Andy Zaidman:
A systematic literature review of how mutation testing supports test activities. PeerJ Prepr. 4: e2483 (2016) - [i1]Qianqian Zhu, Annibale Panichella, Andy Zaidman:
Speeding-up mutation testing via data compression and state infection. PeerJ Prepr. 4: e2632 (2016) - 2015
- [j7]Qian Liu, Elizabeth T. Cirulli, Yujun Han, Song Yao, Song Liu, Qianqian Zhu:
Systematic assessment of imputation performance using the 1000 Genomes reference panels. Briefings Bioinform. 16(4): 549-562 (2015) - [j6]Yuzhu Tian, Qianqian Zhu, Maozai Tian:
Estimation for mixed exponential distributions under type-II progressively hybrid censored samples. Comput. Stat. Data Anal. 89: 85-96 (2015) - [j5]Zhenyu Shan, Qianqian Zhu:
Camera location for real-time traffic state estimation in urban road network using big GPS data. Neurocomputing 169: 134-143 (2015) - [c4]Yingjie Xia, Qianqian Zhu, Wei Wei:
Weakly Supervised Random Forest for Multi-Label Image Clustering and Segmentation. ICMR 2015: 227-233 - 2014
- [j4]Yuzhu Tian, Maozai Tian, Qianqian Zhu:
Transmuted Linear Exponential Distribution: A New Generalization of the Linear Exponential Distribution. Commun. Stat. Simul. Comput. 43(10): 2661-2677 (2014) - [c3]Ting Zhang, Yingjie Xia, Qianqian Zhu, Yuncai Liu, Jianhui Shen:
Mining related information of traffic flows on lanes by k-medoids. FSKD 2014: 390-396 - [c2]Chunhui Wang, Qianqian Zhu, Zhenyu Shan, Yingjie Xia, Yuncai Liu:
Fusing heterogeneous traffic data by Kalman filters and Gaussian mixture models. ITSC 2014: 276-281 - [c1]Zhenyu Shan, Yanni Wang, Qianqian Zhu:
Feasibility study of urban road traffic state estimation based on taxi GPS data. ITSC 2014: 2188-2193 - 2013
- [j3]Nanye Long, Samuel P. Dickson, Jessica M. Maia, Hee Shin Kim, Qianqian Zhu, Andrew S. Allen:
Leveraging Prior Information to Detect Causal Variants via Multi-Variant Regression. PLoS Comput. Biol. 9(6) (2013) - 2011
- [j2]Qianqian Zhu, Jeffrey C. Miecznikowski, Marc S. Halfon:
A wholly defined Agilent microarray spike-in dataset. Bioinform. 27(9): 1284-1289 (2011) - 2010
- [j1]Qianqian Zhu, Jeffrey C. Miecznikowski, Marc S. Halfon:
Preferred analysis methods for Affymetrix GeneChips. II. An expanded, balanced, wholly-defined spike-in dataset. BMC Bioinform. 11: 285 (2010)
Coauthor Index
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