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Yu Qu
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2020 – today
- 2023
- [j16]Nan Ma
, Lin Sun
, Chenghu Zhou, Yawen He, Chuanxiang Dong, Yu Qu, Huiyong Yu:
A Priori Land Surface Reflectance Synergized With Multiscale Features Convolution Neural Network for MODIS Imagery Cloud Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 3294-3308 (2023) - [j15]Jianlei Chi
, Yu Qu
, Ting Liu
, Qinghua Zheng, Heng Yin:
SeqTrans: Automatic Vulnerability Fix Via Sequence to Sequence Learning. IEEE Trans. Software Eng. 49(2): 564-585 (2023) - [c21]Wuxia Jin, Yitong Dai, Jianguo Zheng, Yu Qu
, Ming Fan, Zhenyu Huang, Dezhi Huang, Ting Liu:
Dependency Facade: The Coupling and Conflicts between Android Framework and Its Customization. ICSE 2023: 1674-1686 - 2022
- [c20]Zhihui Wang, Yu Qu, Chunkai Zheng:
Spartina Alterniflora Classification at Patch Scale Based on Feature Fusion and Deep Learning. IGARSS 2022: 1540-1543 - [c19]Yanan Tian, Shulin Pang
, Yu Qu:
Fusion Cloud Detection of Multiple Network Models Based on Hard Voting Strategy. IGARSS 2022: 6646-6649 - [c18]Zhenxiao Qi, Yu Qu, Heng Yin:
LogicMEM: Automatic Profile Generation for Binary-Only Memory Forensics via Logic Inference. NDSS 2022 - [c17]Sheng Yu, Yu Qu, Xunchao Hu, Heng Yin:
DeepDi: Learning a Relational Graph Convolutional Network Model on Instructions for Fast and Accurate Disassembly. USENIX Security Symposium 2022: 2709-2725 - 2021
- [j14]Yu Qu
, Heng Yin
:
Evaluating network embedding techniques' performances in software bug prediction. Empir. Softw. Eng. 26(4): 60 (2021) - [j13]Yu Qu
, Jianlei Chi, Heng Yin
:
Leveraging developer information for efficient effort-aware bug prediction. Inf. Softw. Technol. 137: 106605 (2021) - [j12]Ning Zhang, Lin Sun, Zhendong Sun, Yu Qu:
Detecting Low-Intensity Fires in East Asia Using VIIRS Data: An Improved Contextual Algorithm. Remote. Sens. 13(21): 4226 (2021) - [j11]Yu Qu
, Qinghua Zheng, Jianlei Chi, Yangxu Jin, Ancheng He, Di Cui, Hengshan Zhang, Ting Liu
:
Using K-core Decomposition on Class Dependency Networks to Improve Bug Prediction Model's Practical Performance. IEEE Trans. Software Eng. 47(2): 348-366 (2021) - [c16]Xuezixiang Li, Yu Qu
, Heng Yin
:
PalmTree: Learning an Assembly Language Model for Instruction Embedding. CCS 2021: 3236-3251 - 2020
- [j10]Jianlei Chi, Yu Qu
, Qinghua Zheng, Zijiang Yang, Wuxia Jin, Di Cui, Ting Liu:
Relation-based test case prioritization for regression testing. J. Syst. Softw. 163: 110539 (2020) - [i1]Jianlei Chi, Yu Qu, Ting Liu, Qinghua Zheng, Heng Yin:
SeqTrans: Automatic Vulnerability Fix via Sequence to Sequence Learning. CoRR abs/2010.10805 (2020)
2010 – 2019
- 2019
- [c15]Di Cui, Ting Liu, Yuanfang Cai, Qinghua Zheng, Qiong Feng, Wuxia Jin, Jiaqi Guo
, Yu Qu
:
Investigating the impact of multiple dependency structures on software defects. ICSE 2019: 584-595 - [c14]Ali Davanian, Zhenxiao Qi, Yu Qu, Heng Yin:
DECAF++: Elastic Whole-System Dynamic Taint Analysis. RAID 2019: 31-45 - 2018
- [j9]Yu Qu, Huaxiang Zhang
, Cheng Liang, Xiao Dong:
KATZMDA: Prediction of miRNA-Disease Associations Based on KATZ Model. IEEE Access 6: 3943-3950 (2018) - [j8]Wuxia Jin, Ting Liu, Yu Qu
, Qinghua Zheng, Di Cui, Jianlei Chi:
Dynamic structure measurement for distributed software. Softw. Qual. J. 26(3): 1119-1145 (2018) - [c13]Jianlei Chi, Yu Qu
, Qinghua Zheng, Zijiang Yang, Wuxia Jin, Di Cui, Ting Liu:
Test Case Prioritization Based on Method Call Sequences. COMPSAC (1) 2018: 251-256 - [c12]Yangxu Jin, Ting Liu, Ancheng He, Yu Qu
, Jianlei Chi:
Android Malware Detector Exploiting Convolutional Neural Network and Adaptive Classifier Selection. COMPSAC (1) 2018: 833-834 - [c11]Hengshan Zhang, Qinghua Zheng, Zhongmin Wang, Yanping Chen, Yu Qu
, Ting Liu:
Crowd Intelligence for Decision Making Based on Positive and Negative Comparing With Linguistic Scale. FUZZ-IEEE 2018: 1-8 - [c10]Yu Qu
, Ting Liu, Jianlei Chi, Yangxu Jin, Di Cui, Ancheng He, Qinghua Zheng:
node2defect: using network embedding to improve software defect prediction. ASE 2018: 844-849 - 2017
- [c9]Dave Towey
, David Foster, Filippo Gilardi
, Paul Martin, Andrew White
, Yiru Jiang, Yichen Pan, Yu Qu:
Developing an Open Educational Resource: Reflections on a Student-Staff Collaboration. COMPSAC (2) 2017: 707-711 - [c8]Dave Towey
, David Foster, Filippo Gilardi
, Paul Martin, Andrew White
, Yiru Jiang, Yichen Pan, Yu Qu:
Students as partners in a multi-media note-taking app development: best practices. ICSE (Companion Volume) 2017: 334-335 - [c7]Hui Cao, Yu Qu, Zuxun Song:
Analysis and Design of High Integrated Low Noise Frequency Source in S Band. ICSPS 2017: 194-197 - 2016
- [j7]Hengshan Zhang, Qinghua Zheng, Ting Liu, Zijiang Yang, Minnan Luo, Yu Qu
:
Improving Linguistic Pairwise Comparison Consistency via Linguistic Discrete Regions. IEEE Trans. Fuzzy Syst. 24(3): 600-614 (2016) - [c6]Hengshan Zhang, Qinghua Zheng, Ting Liu, Yu Qu
:
Mixed Intuitionistic Fuzzy Aggregation Operators decreasing results of unusual IFNs. FUZZ-IEEE 2016: 896-903 - [c5]Wuxia Jin, Ting Liu, Yu Qu
, Jianlei Chi, Di Cui, Qinghua Zheng:
Dynamic cohesion measurement for distributed system. SCTDCP@ASE 2016: 20-26 - 2015
- [j6]Yu Qu
, Xiaohong Guan, Qinghua Zheng, Ting Liu, Lidan Wang, Yuqiao Hou, Zijiang Yang:
Exploring community structure of software Call Graph and its applications in class cohesion measurement. J. Syst. Softw. 108: 193-210 (2015) - [j5]Yu Qu
, Xiaohong Guan, Qinghua Zheng, Ting Liu, Jianliang Zhou, Jian Li:
Calling Network: A New Method for Modeling Software Runtime Behaviors. ACM SIGSOFT Softw. Eng. Notes 40(1): 1-8 (2015) - 2014
- [c4]Yu Qu
, Qinghua Zheng, Ting Liu, Jian Li, Xiaohong Guan:
In-depth measurement and analysis on densification power law of software execution. WETSoM 2014: 55-58 - 2012
- [j4]Ting Liu, Xiaohong Guan, Yu Qu
, Yanan Sun:
A layered classification for malicious function identification and malware detection. Concurr. Comput. Pract. Exp. 24(11): 1169-1179 (2012) - [c3]Yanan Sun, Xiaohong Guan, Ting Liu, Yu Qu
:
An Identity Authentication Mechanism Based on Timing Covert Channel. TrustCom 2012: 832-836 - 2011
- [j3]Yu Qu, Hongye Su, Lichao Guo, Jian Chu:
A novel SVM modeling approach for highly imbalanced and overlapping classification. Intell. Data Anal. 15(3): 319-341 (2011) - [j2]Lichao Guo, Hongye Su, Yu Qu:
Approximate mining of global closed frequent itemsets over data streams. J. Frankl. Inst. 348(6): 1052-1081 (2011) - [c2]Ting Liu, Xiaohong Guan, Yu Qu
, Yanan Sun:
A Layered Detection Method for Malware Identification. NPC 2011: 166-175
2000 – 2009
- 2009
- [j1]Ting Liu, Xiaohong Guan, Qinghua Zheng, Yu Qu
:
A new worm exploiting IPv6 and IPv4-IPv6 dual-stack networks: experiment, modeling, simulation, and defense. IEEE Netw. 23(5): 22-29 (2009) - [c1]Lichao Guo, Hongye Su, Yu Qu:
A New Algorithm for Mining Global Frequent Itemsets in a Stream. FSKD (5) 2009: 232-238
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