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Jianjun Zhao 0001

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affiliation: Kyushu University, Fukuoka, Japan
affiliation (2005-2016): Shanghai Jiao Tong University, China
affiliation (1997-2005): Fukuoka Institute of Technology, Japan

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2020 – today

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2024
[j30]
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Wangshu Liu, Ye Yue, Xiang Chen, Qing Gu, Pengzhan Zhao, Xuejun Liu, Jianjun Zhao:
SeDPGK: Semi-supervised software defect prediction with graph representation learning and knowledge distillation. Inf. Softw. Technol. 174: 107510 (2024)
[j29]
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Peixun Long, Jianjun Zhao:
Equivalence, identity, and unitarity checking in black-box testing of quantum programs. J. Syst. Softw. 211: 112000 (2024)
[j28]
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Zeming Dong, Qiang Hu, Zhenya Zhang, Yuejun Guo, Maxime Cordy, Mike Papadakis, Yves Le Traon, Jianjun Zhao:
On the effectiveness of hybrid pooling in mixup-based graph learning for language processing. J. Syst. Softw. 216: 112139 (2024)
[j27]
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Zeming Dong, Qiang Hu, Zhenya Zhang, Jianjun Zhao:
On the effectiveness of graph data augmentation for source code learning. Knowl. Based Syst. 285: 111328 (2024)
[j26]
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Yinxing Xue, Jiaming Ye, Wei Zhang, Jun Sun, Lei Ma, Haijun Wang, Jianjun Zhao:
xFuzz: Machine Learning Guided Cross-Contract Fuzzing. IEEE Trans. Dependable Secur. Comput. 21(2): 515-529 (2024)
[j25]
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Jiawei Ren, Yulei Sui, Xiao Cheng, Yuan Feng, Jianjun Zhao:
Dynamic Transitive Closure-based Static Analysis through the Lens of Quantum Search. ACM Trans. Softw. Eng. Methodol. 33(5): 119:1-119:29 (2024)
[j24]
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Peixun Long, Jianjun Zhao:
Testing Multi-Subroutine Quantum Programs: From Unit Testing to Integration Testing. ACM Trans. Softw. Eng. Methodol. 33(6): 147 (2024)
[c132]
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  - conf/gecco/LyuZAI0024
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Deyun Lyu, Zhenya Zhang, Paolo Arcaini, Fuyuki Ishikawa, Thomas Laurent, Jianjun Zhao:
Search-Based Repair of DNN Controllers of AI-Enabled Cyber-Physical Systems Guided by System-Level Specifications. GECCO 2024
[c131]
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Jianlang Chen, Xuhong Ren, Qing Guo, Felix Juefei-Xu, Di Lin, Wei Feng, Lei Ma, Jianjun Zhao:
LRR: Language-Driven Resamplable Continuous Representation against Adversarial Tracking Attacks. ICLR 2024
[c130]
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  - conf/icse-qse/Guo0Z24
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Xiaoyu Guo, Jianjun Zhao, Pengzhan Zhao:
On Repairing Quantum Programs Using ChatGPT. Q-SE@ICSE 2024: 9-16
[c129]
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Xiaoyu Guo, Takahiro Muta, Jianjun Zhao:
Quantum Circuit Ansatz: Patterns of Abstraction and Reuse of Quantum Algorithm Design. QSW 2024: 69-80
[d2]
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Enrique Moguel, Juan Manuel Murillo, José García-Alonso, Johanna Barzen, Frank Leymann, Shaukat Ali, Tao Yue, Paolo Arcaini, Ricardo Pérez-Castillo, Ignacio García Rodríguez de Guzmán, Mario Piattini, Antonio Ruiz-Cortés, Antonio Brogi, Jianjun Zhao, Andriy V. Miranskyy, Manuel Wimmer:
Prospects for Quantum Software Engineering in the Next Decade - Supplementary material. Zenodo, 2024
[i42]
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  - journals/corr/abs-2401-14913
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Xiaoyu Guo, Jianjun Zhao, Pengzhan Zhao:
On Repairing Quantum Programs Using ChatGPT. CoRR abs/2401.14913 (2024)
[i41]
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  - journals/corr/abs-2402-15769
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Zeming Dong, Qiang Hu, Xiaofei Xie, Maxime Cordy, Mike Papadakis, Jianjun Zhao:
Importance Guided Data Augmentation for Neural-Based Code Understanding. CoRR abs/2402.15769 (2024)
[i40]
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  - journals/corr/abs-2404-06247
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Jianlang Chen, Xuhong Ren, Qing Guo, Felix Juefei-Xu, Di Lin, Wei Feng, Lei Ma, Jianjun Zhao:
LRR: Language-Driven Resamplable Continuous Representation against Adversarial Tracking Attacks. CoRR abs/2404.06247 (2024)
[i39]
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  - journals/corr/abs-2404-06825
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Juan Manuel Murillo, José García-Alonso, Enrique Moguel, Johanna Barzen, Frank Leymann, Shaukat Ali, Tao Yue, Paolo Arcaini, Ricardo Pérez, Ignacio García Rodríguez de Guzmán, Mario Piattini, Antonio Ruiz-Cortés, Antonio Brogi, Jianjun Zhao, Andriy V. Miranskyy, Manuel Wimmer:
Challenges of Quantum Software Engineering for the Next Decade: The Road Ahead. CoRR abs/2404.06825 (2024)
[i38]
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  - journals/corr/abs-2405-04860
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Shangzhou Xia, Jianjun Zhao, Fuyuan Zhang, Xiaoyu Guo:
Concolic Testing of Quantum Programs. CoRR abs/2405.04860 (2024)
[i37]
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  - journals/corr/abs-2405-05021
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Xiaoyu Guo, Takahiro Muta, Jianjun Zhao:
Quantum Circuit Ansatz: Abstraction and Reuse of Quantum Algorithm Design. CoRR abs/2405.05021 (2024)
2023
[j23]
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  - journals/jss/ZhaoMLZ23
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Pengzhan Zhao, Zhongtao Miao, Shuhan Lan, Jianjun Zhao:
Bugs4Q: A benchmark of existing bugs to enable controlled testing and debugging studies for quantum programs. J. Syst. Softw. 205: 111805 (2023)
[j22]
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  - journals/tosem/QiWGCJZMZ23
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Hua Qi, Zhijie Wang, Qing Guo, Jianlang Chen, Felix Juefei-Xu, Fuyuan Zhang, Lei Ma, Jianjun Zhao:
ArchRepair: Block-Level Architecture-Oriented Repairing for Deep Neural Networks. ACM Trans. Softw. Eng. Methodol. 32(5): 129:1-129:31 (2023)
[j21]
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  - journals/tse/ZhangLAMHZ23
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Zhenya Zhang, Deyun Lyu, Paolo Arcaini, Lei Ma, Ichiro Hasuo, Jianjun Zhao:
FalsifAI: Falsification of AI-Enabled Hybrid Control Systems Guided by Time-Aware Coverage Criteria. IEEE Trans. Software Eng. 49(4): 1842-1859 (2023)
[c128]
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  - conf/cvpr/HouG0X0023
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Yang Hou, Qing Guo, Yihao Huang, Xiaofei Xie, Lei Ma, Jianjun Zhao:
Evading DeepFake Detectors via Adversarial Statistical Consistency. CVPR 2023: 12271-12280
[c127]
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  - conf/dsa/DongHZZ23
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Zeming Dong, Qiang Hu, Zhenya Zhang, Jianjun Zhao:
On the Effectiveness of Graph Data Augmentation for Source Code Learning. DSA 2023: 880-889
[c126]
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  - conf/iclr/LiZHX0ZSC023
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Zhuo Li, Derui Zhu, Yujing Hu, Xiaofei Xie, Lei Ma, Yan Zheng, Yan Song, Yingfeng Chen, Jianjun Zhao:
Neural Episodic Control with State Abstraction. ICLR 2023
[c125]
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  - conf/icse/WuYCXHHMZ23
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Xiongfei Wu, Jiaming Ye, Ke Chen, Xiaofei Xie, Yujing Hu, Ruochen Huang, Lei Ma, Jianjun Zhao:
Widget Detection-based Testing for Industrial Mobile Games. ICSE-SEIP 2023: 173-184
[c124]
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  - conf/icse-qse/XiaZ23
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Shangzhou Xia, Jianjun Zhao:
Static Entanglement Analysis of Quantum Programs. Q-SE@ICSE 2023: 42-49
[c123]
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  - conf/icse-qse/ZhaoWLZ23
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Pengzhan Zhao, Xiongfei Wu, Zhuo Li, Jianjun Zhao:
QChecker: Detecting Bugs in Quantum Programs via Static Analysis. Q-SE@ICSE 2023: 50-57
[c122]
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  - conf/issta/WangNMCWB023
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Zihan Wang, Pengbo Nie, Xinyuan Miao, Yuting Chen, Chengcheng Wan, Lei Bu, Jianjun Zhao:
GenCoG: A DSL-Based Approach to Generating Computation Graphs for TVM Testing. ISSTA 2023: 904-916
[c121]
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  - conf/kbse/LiWZCCZXMZ23
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Zhuo Li, Xiongfei Wu, Derui Zhu, Mingfei Cheng, Siyuan Chen, Fuyuan Zhang, Xiaofei Xie, Lei Ma, Jianjun Zhao:
Generative Model-Based Testing on Decision-Making Policies. ASE 2023: 243-254
[c120]
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  - conf/kbse/YeXZAMZI23
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Jiaming Ye, Shangzhou Xia, Fuyuan Zhang, Paolo Arcaini, Lei Ma, Jianjun Zhao, Fuyuki Ishikawa:
QuraTest: Integrating Quantum Specific Features in Quantum Program Testing. ASE 2023: 1149-1161
[c119]
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  - conf/kbse/LuoZ23
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Junjie Luo, Jianjun Zhao:
Enhancing Code Safety in Quantum Intermediate Representation. ASE 2023: 1771-1775
[c118]
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  - conf/programming/000123
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Jianjun Zhao:
Static Analysis for Quantum Software Correctness and Reliability (Keynote). Programming 2023: 89
[c117]
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  - conf/qce/Zhao23
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Jianjun Zhao:
On Refactoring Quantum Programs in Q#. QCE 2023: 169-172
[c116]
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  - conf/qrs/DongH0Z023
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Zeming Dong, Qiang Hu, Yuejun Guo, Zhenya Zhang, Jianjun Zhao:
Boosting Source Code Learning with Text-Oriented Data Augmentation: An Empirical Study. QRS Companion 2023: 383-392
[c115]
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  - conf/qsw/ZhaoWLLZ23
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Pengzhan Zhao, Xiongfei Wu, Junjie Luo, Zhuo Li, Jianjun Zhao:
An Empirical Study of Bugs in Quantum Machine Learning Frameworks. QSW 2023: 68-75
[c114]
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  - conf/qsw/JinZ23
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Tiancheng Jin, Jianjun Zhao:
ScaffML: A Quantum Behavioral Interface Specification Language for Scaffold. QSW 2023: 128-137
[c113]
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  - conf/sigsoft/ZhangH0023
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Fuyuan Zhang, Xinwen Hu, Lei Ma, Jianjun Zhao:
DeepRover: A Query-Efficient Blackbox Attack for Deep Neural Networks. ESEC/SIGSOFT FSE 2023: 1384-1394
[c112]
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  - conf/wcre/DongHGCPZTZ23
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Zeming Dong, Qiang Hu, Yuejun Guo, Maxime Cordy, Mike Papadakis, Zhenya Zhang, Yves Le Traon, Jianjun Zhao:
MixCode: Enhancing Code Classification by Mixup-Based Data Augmentation. SANER 2023: 379-390
[d1]
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  - data/10/ZhaoMLZ23
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Pengzhan Zhao, Zhongtao Miao, Shuhan Lan, Jianjun Zhao:
Bugs4Q: A Benchmark of Existing Bugs to Enable Controlled Testing and Debugging Studies for Quantum Programs. Zenodo, 2023
[i36]
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  - journals/corr/abs-2301-11490
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Zhuo Li, Derui Zhu, Yujing Hu, Xiaofei Xie, Lei Ma, Yan Zheng, Yan Song, Yingfeng Chen, Jianjun Zhao:
Neural Episodic Control with State Abstraction. CoRR abs/2301.11490 (2023)
[i35]
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  - journals/corr/abs-2303-06808
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Zeming Dong, Qiang Hu, Yuejun Guo, Zhenya Zhang, Maxime Cordy, Mike Papadakis, Yves Le Traon, Jianjun Zhao:
Boosting Source Code Learning with Data Augmentation: An Empirical Study. CoRR abs/2303.06808 (2023)
[i34]
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  - journals/corr/abs-2303-14500
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Junjie Luo, Jianjun Zhao:
Formalization of Quantum Intermediate Representations for Code Safety. CoRR abs/2303.14500 (2023)
[i33]
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  - journals/corr/abs-2304-04387
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Pengzhan Zhao, Xiongfei Wu, Zhuo Li, Jianjun Zhao:
QChecker: Detecting Bugs in Quantum Programs via Static Analysis. CoRR abs/2304.04387 (2023)
[i32]
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  - journals/corr/abs-2304-05049
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Shangzhou Xia, Jianjun Zhao:
Static Entanglement Analysis of Quantum Programs. CoRR abs/2304.05049 (2023)
[i31]
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  - journals/corr/abs-2304-05617
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Deyun Lyu, Jiayang Song, Zhenya Zhang, Zhijie Wang, Tianyi Zhang, Lei Ma, Jianjun Zhao:
AutoRepair: Automated Repair for AI-Enabled Cyber-Physical Systems under Safety-Critical Conditions. CoRR abs/2304.05617 (2023)
[i30]
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  - journals/corr/abs-2304-11670
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Yang Hou, Qing Guo, Yihao Huang, Xiaofei Xie, Lei Ma, Jianjun Zhao:
Evading DeepFake Detectors via Adversarial Statistical Consistency. CoRR abs/2304.11670 (2023)
[i29]
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  - journals/corr/abs-2306-06369
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Pengzhan Zhao, Xiongfei Wu, Junjie Luo, Zhuo Li, Jianjun Zhao:
An Empirical Study of Bugs in Quantum Machine Learning Frameworks. CoRR abs/2306.06369 (2023)
[i28]
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  - journals/corr/abs-2306-06468
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Tiancheng Jin, Jianjun Zhao:
ScaffML: A Quantum Behavioral Interface Specification Language for Scaffold. CoRR abs/2306.06468 (2023)
2022
[j20]
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Xiongfei Wu, Jinqiu Yang, Lei Ma, Yinxing Xue, Jianjun Zhao:
On the usage and development of deep learning compilers: an empirical study on TVM. Empir. Softw. Eng. 27(7): 172 (2022)
[j19]
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Jiaming Ye, Mingliang Ma, Yun Lin, Lei Ma, Yinxing Xue, Jianjun Zhao:
Vulpedia: Detecting vulnerable ethereum smart contracts via abstracted vulnerability signatures. J. Syst. Softw. 192: 111410 (2022)
[j18]
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  - journals/pr/RenCJXGMZC22
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Xuhong Ren, Jianlang Chen, Felix Juefei-Xu, Wanli Xue, Qing Guo, Lei Ma, Jianjun Zhao, Shengyong Chen:
DARTSRepair: Core-failure-set guided DARTS for network robustness to common corruptions. Pattern Recognit. 131: 108864 (2022)
[j17]
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Bing Yu, Hua Qi, Qing Guo, Felix Juefei-Xu, Xiaofei Xie, Lei Ma, Jianjun Zhao:
DeepRepair: Style-Guided Repairing for Deep Neural Networks in the Real-World Operational Environment. IEEE Trans. Reliab. 71(4): 1401-1416 (2022)
[c111]
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Shoma Hamada, Haibo Yu, Vo Dai Trinh, Yuri Nishimura, Jianjun Zhao:
Bug Patterns in Probabilistic Programming Systems. QRS Companion 2022: 384-391
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  - conf/qrs/MurakamiZ22
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Kentaro Murakami, Jianjun Zhao:
Automated Synthesis of Quantum Circuits using Neural Network. QRS 2022: 694-702
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Junjie Luo, Pengzhan Zhao, Zhongtao Miao, Shuhan Lan, Jianjun Zhao:
A Comprehensive Study of Bug Fixes in Quantum Programs. SANER 2022: 1239-1246
[i27]
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  - journals/corr/abs-2201-08662
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Junjie Luo, Pengzhan Zhao, Zhongtao Miao, Shuhan Lan, Jianjun Zhao:
A Comprehensive Study of Bug Fixes in Quantum Programs. CoRR abs/2201.08662 (2022)
[i26]
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  - journals/corr/abs-2209-10381
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Xuhong Ren, Jianlang Chen, Felix Juefei-Xu, Wanli Xue, Qing Guo, Lei Ma, Jianjun Zhao, Shengyong Chen:
DARTSRepair: Core-failure-set Guided DARTS for Network Robustness to Common Corruptions. CoRR abs/2209.10381 (2022)
[i25]
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Kentaro Murakami, Jianjun Zhao:
AutoQC: Automated Synthesis of Quantum Circuits Using Neural Network. CoRR abs/2210.02766 (2022)
[i24]
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Zeming Dong, Qiang Hu, Yuejun Guo, Maxime Cordy, Mike Papadakis, Yves Le Traon, Jianjun Zhao:
Enhancing Code Classification by Mixup-Based Data Augmentation. CoRR abs/2210.03003 (2022)
[i23]
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Zeming Dong, Qiang Hu, Yuejun Guo, Maxime Cordy, Mike Papadakis, Yves Le Traon, Jianjun Zhao:
Enhancing Mixup-Based Graph Learning for Language Processing via Hybrid Pooling. CoRR abs/2210.03123 (2022)
[i22]
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Jiaming Ye, Mulong Xie, Siyuan Chen, Fuyuan Zhang, Lei Ma, Zhenchang Xing, Jianjun Zhao:
Towards Benchmarking GUI Compatibility Testing on Mobile Applications. CoRR abs/2212.13424 (2022)
2021
[c108]
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Qing Guo, Jingyang Sun, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Wei Feng, Yang Liu, Jianjun Zhao:
EfficientDeRain: Learning Pixel-wise Dilation Filtering for High-Efficiency Single-Image Deraining. AAAI 2021: 1487-1495
[c107]
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Zhenya Zhang, Deyun Lyu, Paolo Arcaini, Lei Ma, Ichiro Hasuo, Jianjun Zhao:
Effective Hybrid System Falsification Using Monte Carlo Tree Search Guided by QB-Robustness. CAV (1) 2021: 595-618
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Qing Guo, Ziyi Cheng, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Yang Liu, Jianjun Zhao:
Learning to Adversarially Blur Visual Object Tracking. ICCV 2021: 10819-10828
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Ziyi Cheng, Xuhong Ren, Felix Juefei-Xu, Wanli Xue, Qing Guo, Lei Ma, Jianjun Zhao:
Deepmix: Online Auto Data Augmentation for Robust Visual Object Tracking. ICME 2021: 1-6
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Pengzhan Zhao, Jianjun Zhao, Lei Ma:
Identifying Bug Patterns in Quantum Programs. Q-SE@ICSE 2021: 16-21
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Jianjun Zhao:
Some Size and Structure Metrics for Quantum Software. Q-SE@ICSE 2021: 22-27
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Xiaoting Du, Zheng Zheng, Lei Ma, Jianjun Zhao:
An Empirical Study on Common Bugs in Deep Learning Compilers. ISSRE 2021: 184-195
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Pengzhan Zhao, Jianjun Zhao, Zhongtao Miao, Shuhan Lan:
Bugs4Q: A Benchmark of Real Bugs for Quantum Programs. ASE 2021: 1373-1376
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Zhenya Zhang, Deyun Lyu, Paolo Arcaini, Lei Ma, Ichiro Hasuo, Jianjun Zhao:
On the Effectiveness of Signal Rescaling in Hybrid System Falsification. NFM 2021: 392-399
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Le Manh Duc, Haibo Yu, Jianjun Zhao:
Bug Characteristics in Probabilistic Programming Systems: A Comprehensive Study. QRS Companion 2021: 319-325
[c98]
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Jiaming Ye, Ke Chen, Xiaofei Xie, Lei Ma, Ruochen Huang, Yingfeng Chen, Yinxing Xue, Jianjun Zhao:
An empirical study of GUI widget detection for industrial mobile games. ESEC/SIGSOFT FSE 2021: 1427-1437
[i21]
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  - journals/corr/abs-2103-08815
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Jianjun Zhao:
Some Size and Structure Metrics for Quantum Software. CoRR abs/2103.08815 (2021)
[i20]
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  - journals/corr/abs-2103-09069
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Pengzhan Zhao, Jianjun Zhao, Lei Ma:
Identifying Bug Patterns in Quantum Programs. CoRR abs/2103.09069 (2021)
[i19]
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  - journals/corr/abs-2104-11585
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Ziyi Cheng, Xuhong Ren, Felix Juefei-Xu, Wanli Xue, Qing Guo, Lei Ma, Jianjun Zhao:
DeepMix: Online Auto Data Augmentation for Robust Visual Object Tracking. CoRR abs/2104.11585 (2021)
[i18]
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  - journals/corr/abs-2107-12085
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Qing Guo, Ziyi Cheng, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Yang Liu, Jianjun Zhao:
Learning to Adversarially Blur Visual Object Tracking. CoRR abs/2107.12085 (2021)
[i17]
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  - journals/corr/abs-2108-09744
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Pengzhan Zhao, Jianjun Zhao, Zhongtao Miao, Shuhan Lan:
Bugs4Q: A Benchmark of Real Bugs for Quantum Programs. CoRR abs/2108.09744 (2021)
[i16]
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  - journals/corr/abs-2111-12423
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Yinxing Xue, Jiaming Ye, Wei Zhang, Jun Sun, Lei Ma, Haijun Wang, Jianjun Zhao:
Machine Learning Guided Cross-Contract Fuzzing. CoRR abs/2111.12423 (2021)
[i15]
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  - journals/corr/abs-2111-13330
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Hua Qi, Zhijie Wang, Qing Guo, Jianlang Chen, Felix Juefei-Xu, Lei Ma, Jianjun Zhao:
ArchRepair: Block-Level Architecture-Oriented Repairing for Deep Neural Networks. CoRR abs/2111.13330 (2021)
2020
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Lingjun Zhou, Bing Yu, David Berend, Xiaofei Xie, Xiaohong Li, Jianjun Zhao, Xusheng Liu:
An Empirical Study on Robustness of DNNs with Out-of-Distribution Awareness. APSEC 2020: 266-275
[c96]
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Xiyue Zhang, Xiaofei Xie, Lei Ma, Xiaoning Du, Qiang Hu, Yang Liu, Jianjun Zhao, Meng Sun:
Towards characterizing adversarial defects of deep learning software from the lens of uncertainty. ICSE 2020: 739-751
[c95]
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Xuhong Ren, Bing Yu, Hua Qi, Felix Juefei-Xu, Zhuo Li, Wanli Xue, Lei Ma, Jianjun Zhao:
Few-Shot Guided Mix for DNN Repairing. ICSME 2020: 717-721
[c94]
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Xiongfei Wu, Liangyu Qin, Bing Yu, Xiaofei Xie, Lei Ma, Yinxing Xue, Yang Liu, Jianjun Zhao:
How are Deep Learning Models Similar?: An Empirical Study on Clone Analysis of Deep Learning Software. ICPC 2020: 172-183
[c93]
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  - conf/kbse/DuLXMLZ20
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Xiaoning Du, Yi Li, Xiaofei Xie, Lei Ma, Yang Liu, Jianjun Zhao:
Marble: Model-based Robustness Analysis of Stateful Deep Learning Systems. ASE 2020: 423-435
[c92]
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  - conf/kbse/BerendXMZLXZ20
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David Berend, Xiaofei Xie, Lei Ma, Lingjun Zhou, Yang Liu, Chi Xu, Jianjun Zhao:
Cats Are Not Fish: Deep Learning Testing Calls for Out-Of-Distribution Awareness. ASE 2020: 1041-1052
[c91]
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  - conf/mm/QiGJXMFLZ20
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Hua Qi, Qing Guo, Felix Juefei-Xu, Xiaofei Xie, Lei Ma, Wei Feng, Yang Liu, Jianjun Zhao:
DeepRhythm: Exposing DeepFakes with Attentional Visual Heartbeat Rhythms. ACM Multimedia 2020: 4318-4327
[c90]
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  - conf/qrs/YuSXCMZ20
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Haibo Yu, Qiang Sun, Kejun Xiao, Yuting Chen, Tsunenori Mine, Jianjun Zhao:
Parallelizing Flow-Sensitive Demand-Driven Points-to Analysis. QRS Companion 2020: 91-97
[i14]
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  - journals/corr/abs-2004-11573
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Xiyue Zhang, Xiaofei Xie, Lei Ma, Xiaoning Du, Qiang Hu, Yang Liu, Jianjun Zhao, Meng Sun:
Towards Characterizing Adversarial Defects of Deep Learning Software from the Lens of Uncertainty. CoRR abs/2004.11573 (2020)
[i13]
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  - journals/corr/abs-2006-07634
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Hua Qi, Qing Guo, Felix Juefei-Xu, Xiaofei Xie, Lei Ma, Wei Feng, Yang Liu, Jianjun Zhao:
DeepRhythm: Exposing DeepFakes with Attentional Visual Heartbeat Rhythms. CoRR abs/2006.07634 (2020)
[i12]
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  - journals/corr/abs-2011-09884
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Bing Yu, Hua Qi, Qing Guo, Felix Juefei-Xu, Xiaofei Xie, Lei Ma, Jianjun Zhao:
DeepRepair: Style-Guided Repairing for DNNs in the Real-world Operational Environment. CoRR abs/2011.09884 (2020)

2010 – 2019

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What is the meaning of the colors in the publication lists?

2019
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Weizhao Yuan, Hoang H. Nguyen, Lingxiao Jiang, Yuting Chen, Jianjun Zhao, Haibo Yu:
API recommendation for event-driven Android application development. Inf. Softw. Technol. 107: 30-47 (2019)
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Yang Liu, Lei Ma, Jianjun Zhao:
Secure Deep Learning Engineering: A Road Towards Quality Assurance of Intelligent Systems. ICFEM 2019: 3-15
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Gefei Zhang, Jianjun Zhao:
Scenario Testing of AngularJS-Based Single Page Web Applications. ICWE Workshops 2019: 91-103
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Xiaofei Xie, Lei Ma, Felix Juefei-Xu, Minhui Xue, Hongxu Chen, Yang Liu, Jianjun Zhao, Bo Li, Jianxiong Yin, Simon See:
DeepHunter: a coverage-guided fuzz testing framework for deep neural networks. ISSTA 2019: 146-157
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Chao Xie, Hua Qi, Lei Ma, Jianjun Zhao:
DeepVisual: a visual programming tool for deep learning systems. ICPC 2019: 130-134
[c85]
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  - conf/kbse/GuoCXMHLLZL19
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Qianyu Guo, Sen Chen, Xiaofei Xie, Lei Ma, Qiang Hu, Hongtao Liu, Yang Liu, Jianjun Zhao, Xiaohong Li:
An Empirical Study Towards Characterizing Deep Learning Development and Deployment Across Different Frameworks and Platforms. ASE 2019: 810-822
[c84]
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Xiaoning Du, Xiaofei Xie, Yi Li, Lei Ma, Yang Liu, Jianjun Zhao:
A Quantitative Analysis Framework for Recurrent Neural Network. ASE 2019: 1062-1065
[c83]
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  - conf/kbse/Hu0XY0Z19
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Qiang Hu, Lei Ma, Xiaofei Xie, Bing Yu, Yang Liu, Jianjun Zhao:
DeepMutation++: A Mutation Testing Framework for Deep Learning Systems. ASE 2019: 1158-1161
[c82]
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Xiaofei Xie, Hongxu Chen, Yi Li, Lei Ma, Yang Liu, Jianjun Zhao:
Coverage-Guided Fuzzing for Feedforward Neural Networks. ASE 2019: 1162-1165
[c81]
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  - conf/sigsoft/DuXLM0Z19
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Xiaoning Du, Xiaofei Xie, Yi Li, Lei Ma, Yang Liu, Jianjun Zhao:
DeepStellar: model-based quantitative analysis of stateful deep learning systems. ESEC/SIGSOFT FSE 2019: 477-487
[c80]
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  - conf/wcre/MaJXLLLZ19
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Lei Ma, Felix Juefei-Xu, Minhui Xue, Bo Li, Li Li, Yang Liu, Jianjun Zhao:
DeepCT: Tomographic Combinatorial Testing for Deep Learning Systems. SANER 2019: 614-618
[i11]
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  - journals/corr/abs-1909-06727
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Qianyu Guo, Sen Chen, Xiaofei Xie, Lei Ma, Qiang Hu, Hongtao Liu, Yang Liu, Jianjun Zhao, Xiaohong Li:
An Empirical Study towards Characterizing Deep Learning Development and Deployment across Different Frameworks and Platforms. CoRR abs/1909.06727 (2019)
2018
[j15]
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Anil Kumar Karna, Jinbo Du, Haihao Shen, Hao Zhong, Jiong Gong, Haibo Yu, Xiangning Ma, Jianjun Zhao:
Tuning parallel symbolic execution engine for better performance. Frontiers Comput. Sci. 12(1): 86-100 (2018)
[j14]
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Anil Kumar Karna, Yuting Chen, Haibo Yu, Hao Zhong, Jianjun Zhao:
The role of model checking in software engineering. Frontiers Comput. Sci. 12(4): 642-668 (2018)
[c79]
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Qiang Hu, Lei Ma, Jianjun Zhao:
DeepGraph: A PyCharm Tool for Visualizing and Understanding Deep Learning Models. APSEC 2018: 628-632
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Lei Ma, Fuyuan Zhang, Jiyuan Sun, Minhui Xue, Bo Li, Felix Juefei-Xu, Chao Xie, Li Li, Yang Liu, Jianjun Zhao, Yadong Wang:
DeepMutation: Mutation Testing of Deep Learning Systems. ISSRE 2018: 100-111
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Lei Ma, Felix Juefei-Xu, Fuyuan Zhang, Jiyuan Sun, Minhui Xue, Bo Li, Chunyang Chen, Ting Su, Li Li, Yang Liu, Jianjun Zhao, Yadong Wang:
DeepGauge: multi-granularity testing criteria for deep learning systems. ASE 2018: 120-131
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Gefei Zhang, Jianjun Zhao:
Visualizing Interactions in AngularJS-based Single Page Web Applications. SEKE 2018: 403-402
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Haibo Yu, Xi Jia, Tsunenori Mine, Jianjun Zhao:
Type Conversion Sequence Recommendation Based on Semantic Web Technology. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2018: 240-245
[i10]
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Lei Ma, Felix Juefei-Xu, Jiyuan Sun, Chunyang Chen, Ting Su, Fuyuan Zhang, Minhui Xue, Bo Li, Li Li, Yang Liu, Jianjun Zhao, Yadong Wang:
DeepGauge: Comprehensive and Multi-Granularity Testing Criteria for Gauging the Robustness of Deep Learning Systems. CoRR abs/1803.07519 (2018)
[i9]
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Lei Ma, Fuyuan Zhang, Jiyuan Sun, Minhui Xue, Bo Li, Felix Juefei-Xu, Chao Xie, Li Li, Yang Liu, Jianjun Zhao, Yadong Wang:
DeepMutation: Mutation Testing of Deep Learning Systems. CoRR abs/1805.05206 (2018)
[i8]
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Lei Ma, Fuyuan Zhang, Minhui Xue, Bo Li, Yang Liu, Jianjun Zhao, Yadong Wang:
Combinatorial Testing for Deep Learning Systems. CoRR abs/1806.07723 (2018)
[i7]
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Xiaofei Xie, Lei Ma, Felix Juefei-Xu, Hongxu Chen, Minhui Xue, Bo Li, Yang Liu, Jianjun Zhao, Jianxiong Yin, Simon See:
Coverage-Guided Fuzzing for Deep Neural Networks. CoRR abs/1809.01266 (2018)
[i6]
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Lei Ma, Felix Juefei-Xu, Minhui Xue, Qiang Hu, Sen Chen, Bo Li, Yang Liu, Jianjun Zhao, Jianxiong Yin, Simon See:
Secure Deep Learning Engineering: A Software Quality Assurance Perspective. CoRR abs/1810.04538 (2018)
[i5]
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Qianyu Guo, Xiaofei Xie, Lei Ma, Qiang Hu, Ruitao Feng, Li Li, Yang Liu, Jianjun Zhao, Xiaohong Li:
An Orchestrated Empirical Study on Deep Learning Frameworks and Platforms. CoRR abs/1811.05187 (2018)
[i4]
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Xiaoning Du, Xiaofei Xie, Yi Li, Lei Ma, Jianjun Zhao, Yang Liu:
DeepCruiser: Automated Guided Testing for Stateful Deep Learning Systems. CoRR abs/1812.05339 (2018)
2017
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Xiao Cheng, Zhiming Peng, Lingxiao Jiang, Hao Zhong, Haibo Yu, Jianjun Zhao:
CLCMiner: Detecting Cross-Language Clones without Intermediates. IEICE Trans. Inf. Syst. 100-D(2): 273-284 (2017)
[j12]
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Ziyi Lin, Yilei Zhou, Hao Zhong, Yuting Chen, Haibo Yu, Jianjun Zhao:
SPDebugger: A Fine-Grained Deterministic Debugger for Concurrency Code. IEICE Trans. Inf. Syst. 100-D(3): 473-482 (2017)
2016
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Xiao Cheng, Hao Zhong, Yuting Chen, Zhenjiang Hu, Jianjun Zhao:
Rule-directed code clone synchronization. ICPC 2016: 1-10
[c73]
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Lei Ma, Cheng Zhang, Bing Yu, Jianjun Zhao:
Retrofitting automatic testing through library tests reusing. ICPC 2016: 1-4
[c72]
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Xiao Cheng, Lingxiao Jiang, Hao Zhong, Haibo Yu, Jianjun Zhao:
On the feasibility of detecting cross-platform code clones via identifier similarity. SoftwareMining@ASE 2016: 39-42
[c71]
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Ziyi Lin, Hao Zhong, Yuting Chen, Jianjun Zhao:
LockPeeker: detecting latent locks in Java APIs. ASE 2016: 368-378
[c70]
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Xiao Cheng, Zhiming Peng, Lingxiao Jiang, Hao Zhong, Haibo Yu, Jianjun Zhao:
Mining revision histories to detect cross-language clones without intermediates. ASE 2016: 696-701
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Yuting Chen, Ting Su, Chengnian Sun, Zhendong Su, Jianjun Zhao:
Coverage-directed differential testing of JVM implementations. PLDI 2016: 85-99
[c68]
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Xiao Cheng, Yuting Chen, Zhenjiang Hu, Tao Zan, Mengyu Liu, Hao Zhong, Jianjun Zhao:
Supporting Selective Undo for Refactoring. SANER 2016: 13-23
[c67]
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Jiabin Ye, Cheng Zhang, Lei Ma, Haibo Yu, Jianjun Zhao:
Efficient and Precise Dynamic Slicing for Client-Side JavaScript Programs. SANER 2016: 449-459
2015
[j11]
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Xi Chang, Zhuo Zhang, Peng Zhang, Jianxin Xue, Jianjun Zhao:
BIFER: a biphasic trace filter approach to scalable prediction of concurrency errors. Frontiers Comput. Sci. 9(6): 944-955 (2015)
[j10]
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Xi Chang, Zhuo Zhang, Yan Lei, Jianjun Zhao:
Biped: Bidirectional Prediction of Order Violations. IEICE Trans. Inf. Syst. 98-D(2): 334-345 (2015)
[c66]
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Christoph Bockisch, Marnix van 't Riet, Haihan Yin, Mehmet Aksit, Ziyi Lin, Yuting Chen, Jianjun Zhao:
Trace-based debugging for advanced-dispatching programming languages. ICOOOLPS@ECOOP 2015: 3:1-3:10
[c65]
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Ziyi Lin, Darko Marinov, Hao Zhong, Yuting Chen, Jianjun Zhao:
JaConTeBe: A Benchmark Suite of Real-World Java Concurrency Bugs (T). ASE 2015: 178-189
[c64]
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Fei Lv, Hongyu Zhang, Jian-Guang Lou, Shaowei Wang, Dongmei Zhang, Jianjun Zhao:
CodeHow: Effective Code Search Based on API Understanding and Extended Boolean Model (E). ASE 2015: 260-270
2014
[j9]
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Qiang Sun, Yuting Chen, Jianjun Zhao:
A constraint-weaving approach to points-to analysis for AspectJ. Frontiers Comput. Sci. 8(1): 52-68 (2014)
[c63]
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Jingzhou Liu, Yuting Chen, Chen Li, Jianjun Zhao:
AspectBreeze: integrating trustworthiness aspects into graph grammar supported architecture description language. Internetware 2014: 80-88
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Ting Su, Geguang Pu, Bin Fang, Jifeng He, Jun Yan, Siyuan Jiang, Jianjun Zhao:
Automated Coverage-Driven Test Data Generation Using Dynamic Symbolic Execution. SERE 2014: 98-107
[e1]
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Tomoyuki Aotani, Kung Chen, Shigeru Chiba, Takashi Ishio, Hidehiko Masuhara, Hongyu Zhang, Jianjun Zhao:
Proceedings of the 9th International Workshop on Advanced Modularization Techniques, AOAsia 2014, Hong Kong, China, November 16, 2014. ACM 2014, ISBN 978-1-4503-1818-1 [contents]
2013
[c61]
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Qiang Sun, Yuting Chen, Jianjun Zhao:
Constraint-based locality analysis for X10 programs. PEPM 2013: 137-146
[c60]
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Qi Wang, Jingyu Zhou, Yuting Chen, Yizhou Zhang, Jianjun Zhao:
Extracting URLs from JavaScript via program analysis. ESEC/SIGSOFT FSE 2013: 627-630
2012
[j8]
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Yuming Zhou, Hareton Leung, Qinbao Song, Jianjun Zhao, Hongmin Lu, Lin Chen, Baowen Xu:
An in-depth investigation into the relationships between structural metrics and unit testability in object-oriented systems. Sci. China Inf. Sci. 55(12): 2800-2815 (2012)
[c59]
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Cheng Zhang, Longwen Lu, Hucheng Zhou, Jianjun Zhao, Zheng Zhang:
MoonBox: debugging with online slicing and dryrun. APSys 2012: 12
[c58]
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Cheng Zhang, Juyuan Yang, Yi Zhang, Jing Fan, Xin Zhang, Jianjun Zhao, Peizhao Ou:
Automatic parameter recommendation for practical API usage. ICSE 2012: 826-836
[c57]
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Longwen Lu, Cheng Zhang, Jianjun Zhao:
Soot-based implementation of a demand-driven reaching definitions analysis. SOAP@PLDI 2012: 21-26
[c56]
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Jingxuan Tu, Lin Chen, Yuming Zhou, Jianjun Zhao, Baowen Xu:
Leveraging Method Call Anomalies to Improve the Effectiveness of Spectrum-Based Fault Localization Techniques for Object-Oriented Programs. QSIC 2012: 1-8
2011
[c55]
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Cheng Zhang, Zhenyu Guo, Ming Wu, Longwen Lu, Yu Fan, Jianjun Zhao, Zheng Zhang:
AutoLog: facing log redundancy and insufficiency. APSys 2011: 10
[c54]
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Qiang Sun, Jianjun Zhao, Yuting Chen:
Probabilistic Points-to Analysis for Java. CC 2011: 62-81
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Cheng Zhang, Hao Xu, Sai Zhang, Jianjun Zhao, Yuting Chen:
Frequency Estimation of Virtual Call Targets for Object-Oriented Programs. ECOOP 2011: 510-532
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Haihao Shen, Jianhong Fang, Jianjun Zhao:
EFindBugs: Effective Error Ranking for FindBugs. ICST 2011: 299-308
2010
[c51]
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Qingzhou Luo, Sai Zhang, Jianjun Zhao, Min Hu:
A Lightweight and Portable Approach to Making Concurrent Failures Reproducible. FASE 2010: 323-337
[c50]
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Cheng Zhang, Dacong Yan, Jianjun Zhao, Yuting Chen, Shengqian Yang:
BPGen: an automated breakpoint generator for debugging. ICSE (2) 2010: 271-274

2000 – 2009

see FAQ

What is the meaning of the colors in the publication lists?

2009
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Yu Lin, Sai Zhang, Jianjun Zhao:
Incremental call graph reanalysis for AspectJ software. ICSM 2009: 306-315
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Martin Th Görg, Jianjun Zhao:
Identifying semantic differences in AspectJ programs. ISSTA 2009: 25-36
[c47]
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Yu Lin, Xucheng Tang, Yuting Chen, Jianjun Zhao:
A Divergence-Oriented Approach to Adaptive Random Testing of Java Programs. ASE 2009: 221-232
2008
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Sai Zhang, Zhongxian Gu, Yu Lin, Jianjun Zhao:
Flota: a programmer assistant for locating faulty changes in AspectJ software evolution. LATE@AOSD 2008: 6
[c45]
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Zengkai Ma, Jianjun Zhao:
Test Case Prioritization Based on Analysis of Program Structure. APSEC 2008: 471-478
[c44]
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Sai Zhang, Zhongxian Gu, Yu Lin, Jianjun Zhao:
Celadon: a change impact analysis tool for aspect-oriented programs. ICSE Companion 2008: 913-914
[c43]
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Sai Zhang, Zhongxian Gu, Yu Lin, Jianjun Zhao:
Change impact analysis for AspectJ programs. ICSM 2008: 87-96
[c42]
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Sai Zhang, Zhongxian Gu, Yu Lin, Jianjun Zhao:
AutoFlow: An automatic debugging tool for AspectJ software. ICSM 2008: 470-471
[c41]
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Jianjun Zhao:
Maintenance support for aspect-oriented programs: opportinuties and challenges. ICSM 2008: 482-483
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Haihao Shen, Sai Zhang, Jianjun Zhao, Jianhong Fang, Shiyuan Yao:
XFindBugs: eXtended FindBugs for AspectJ. PASTE 2008: 70-76
[c39]
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Sai Zhang, Yu Lin, Zhongxian Gu, Jianjun Zhao:
Effective identification of failure-inducing changes: a hybrid approach. PASTE 2008: 77-83
[c38]
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  - conf/scam/SunZ08
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Qiang Sun, Jianjun Zhao:
Aspect-Aware Points-to Analysis. SCAM 2008: 143-152
[c37]
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Haihao Shen, Sai Zhang, Jianjun Zhao:
An Empirical Study of Maintainability in Aspect-Oriented System Evolution Using Coupling Metrics. TASE 2008: 233-236
2007
[j7]
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Alessandro Garcia, Phil Greenwood, George T. Heineman, Robert J. Walker, Yuanfang Cai, Hong Yul Yang, Elisa L. A. Baniassad, Cristina Videira Lopes, Christa Schwanninger, Jianjun Zhao:
Assessment of Contemporary Modularization Techniques - ACoM'07: workshop report. ACM SIGSOFT Softw. Eng. Notes 32(5): 31-37 (2007)
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Tao Xie, Jianjun Zhao:
Perspectives on automated testing of aspect-oriented programs. WTAOP@AOSD 2007: 7-12
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Yi Wang, Jianjun Zhao:
Specifying Pointcuts in AspectJ. COMPSAC (2) 2007: 5-10
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Sai Zhang, Jianjun Zhao:
On Identifying Bug Patterns in Aspect-Oriented Programs. COMPSAC (1) 2007: 431-438
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Alessandro Garcia, Elisa L. A. Baniassad, Cristina Videira Lopes, Christa Schwanninger, Jianjun Zhao:
1st Workshop on Assessment of Contemporary Modularization Techniques (ACoM.07). ICSE Companion 2007: 144-145
2006
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Tao Xie, Jianjun Zhao:
A framework and tool supports for generating test inputs of AspectJ programs. AOSD 2006: 190-201
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Tao Xie, Jianjun Zhao, Darko Marinov, David Notkin:
Detecting Redundant Unit Tests for AspectJ Programs. ISSRE 2006: 179-190
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Jianjun Zhao, Tao Xie, Nan Li:
Towards regression test selection for AspectJ programs. WTAOP 2006: 21-26
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Elisa L. A. Baniassad, Kung Chen, Shigeru Chiba, Jan Hannemann, Hidehiko Masuhara, Shangping Ren, Jianjun Zhao:
2nd Asian Workshop on Aspect-Oriented Software Development (AOAsia). ASE 2006: 375
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Jianjun Zhao:
Control-Flow Analysis and Representation for Aspect-Oriented Programs. QSIC 2006: 38-48
2004
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Jianjun Zhao:
Complexity Metrics for Software Architectures. IEICE Trans. Inf. Syst. 87-D(8): 2152-2156 (2004)
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Bixin Li, Xiaocong Fan, Jun Pang, Jianjun Zhao:
Model for Slicing JAVA Programs Hierarchically. J. Comput. Sci. Technol. 19(6): 848-858 (2004)
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Jianjun Zhao, Baowen Xu:
Measuring Aspect Cohesion. FASE 2004: 54-68
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Limin Xiang, Kazuo Ushijima, Kai Cheng, Jianjun Zhao, Cunwei Lu:
O(1) Time Algorithm on BSR for Constructing a Binary Search Tree with Best Frequencies. PDCAT 2004: 218-225
2003
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Jianjun Zhao:
Data-Flow-Based Unit Testing of Aspect-Oriented Programs. COMPSAC 2003: 188-197
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Jianjun Zhao, Martin C. Rinard:
Pipa: A Behavioral Interface Specification Language for AspectJ. FASE 2003: 150-165
[c23]
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Zhenqiang Chen, Baowen Xu, William C. Chu, Hongji Yang, Jianjun Zhao:
Partial Slicing for Large Programs. SEKE 2003: 204-207
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Baowen Xu, Zhenqiang Chen, Jianjun Zhao:
Measuring cohesion of packages in Ada95. SIGAda 2003: 62-67
2002
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Zhenqiang Chen, Baowen Xu, Hongji Yang, Jianjun Zhao:
Concurrent Ada dead statements detection. Inf. Softw. Technol. 44(13): 733-741 (2002)
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Limin Xiang, Kazuo Ushijima, Jianjun Zhao:
Time Optimal n-Size Matching Parentheses and Binary Tree Decoding Algorithms on a p-Processor BSR. Parallel Process. Lett. 12(3-4): 365-374 (2002)
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Zhenqiang Chen, Baowen Xu, Jianjun Zhao:
An overview of methods for dependence analysis of concurrent programs. ACM SIGPLAN Notices 37(8): 45-52 (2002)
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Jianjun Zhao, Hongji Yang, Liming Xiang, Baowen Xu:
Change impact analysis to support architectural evolution. J. Softw. Maintenance Res. Pract. 14(5): 317-333 (2002)
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Zhengqiang Chen, Baowen Xu, Jianjun Zhao, Hongji Yang:
Static Dependency Analysis for Concurrent Ada 95 Programs. Ada-Europe 2002: 219-230
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Yuming Zhou, Baowen Xu, Jianjun Zhao, Hongji Yang:
ICBMC: An Improved Cohesion Measure for Classes. ICSM 2002: 44-53
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Zhenqiang Chen, Yuming Zhou, Baowen Xu, Jianjun Zhao, Hongji Yang:
A Novel Approach to Measuring Class Cohesion Based on Dependence Analysis. ICSM 2002: 377-384
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Jianjun Zhao:
Slicing Aspect-Oriented Software. IWPC 2002: 251-260
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Jianjun Zhao:
Change impact analysis for aspect-oriented software evolution. IWPSE 2002: 108-112
2001
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Jianjun Zhao, Jingde Cheng, Kazuo Ushijima:
Computing Executable Slices for Concurrent Logic Programs. APAQS 2001: 13-22
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Jianjun Zhao, Jingde Cheng, Kazuo Ushijima:
CLPKIDS: A Program Analysis System for Concurrent Logic Programs. COMPSAC 2001: 531-537
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Jianjun Zhao:
Change Impact Analysis for Architectural Evolution. FFSE@CSMR 2001: 48-53
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Jianjun Zhao, Jingde Cheng, Kazuo Ushijima:
A Program Dependence Model for Concurrent Logic Programs and its Applications. ICSM 2001: 672-681
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Jianjun Zhao:
Applying Slicing Technique to Software Architectures. CoRR cs.SE/0105008 (2001)
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Jianjun Zhao:
Using Dependence Analysis to Support Software Architecture Understanding. CoRR cs.SE/0105009 (2001)
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Jianjun Zhao:
On Assessing the Complexity of Software Architectures. CoRR cs.SE/0105010 (2001)
2000
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Jianjun Zhao:
Dependence Analysis of Java Bytecode. COMPSAC 2000: 486-491
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Jianjun Zhao:
A Slicing-based Approach to Extracting Reusable Software Architectures. CSMR 2000: 215-223

1990 – 1999

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1999
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Jianjun Zhao:
Slicing Concurrent Java Programs. IWPC 1999: 126-133
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Jianjun Zhao:
Multithreaded Dependence Graphs for Concurrent Java Programs. PDSE 1999: 13-23
1998
[c8]
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Jianjun Zhao:
Applying program slicing to software architectures. CATA 1998: 38-41
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Jianjun Zhao, Jingde Cheng, Kazuo Ushijima:
A Dependence-Based Representation for Concurrent Object-Oriented Software Maintenance. CSMR 1998: 60-66
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Jianjun Zhao, Jingde Cheng, Kazuo Ushijima:
A Metrics Suite for Concurrent Logic Programs. CSMR 1998: 172-178
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Jianjun Zhao:
Applying Slicing Technique to Software Architectures. ICECCS 1998: 87-99
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Jianjun Zhao:
On assessing the complexity of software architectures. ISAW@FSE 1998: 163-166
1996
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Jianjun Zhao, Jingde Cheng, Kazuo Ushijima:
Static Slicing of Concurrent Object-Oriented Programs. COMPSAC 1996: 312-320
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Jianjun Zhao, Jingde Cheng, Kazuo Ushijima:
Program dependence analysis of concurrent logic programs and its applications. ICPADS 1996: 282-291
1995
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Jianjun Zhao, Jingde Cheng, Kazuo Ushijima:
Program Dependence Analysis of Concurrent Logic Programs and Its Applications. ICLP 1995: 825

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