Jianjun Zhao

ORCID

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 169

Top Venues

Publications

Jianjun Zhao, Haikun Liu, Shuhao Zhang, Zhuohui Duan, Xiaofei Liao, Hai Jin, Yu Zhang
Fast Parallel Recovery for Transactional Stream Processing on Multicores. ICDE (2024)
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 (2024)
Kai Sun, Chunpeng Yang, Chao Gao, Xiuliang Wu, Jianjun Zhao
Development of an Online Updating Stochastic Configuration Network for the Soft-Sensing of the Semi-Autogenous Ball Mill Crusher System. IEEE Trans. Instrum. Meas. 73 (2024)
Yu Pan, Lei Ma, Jianjun Zhao
PromptCodec: High-Fidelity Neural Speech Codec using Disentangled Representation Learning based Adaptive Feature-aware Prompt Encoders. CoRR (2024)
Yan Kang, Jianjun Zhao, Xuekun Yang, Baochen Fan, Wentao Xie
A hybrid style transfer with whale optimization algorithm model for textual adversarial attack. Neural Comput. Appl. 36 (8) (2024)
Jun Luo, Haoyu Zhang, Jianjun Zhao
Dataflow-Based Optimization for Quantum Intermediate Representation Programs. CoRR (2024)
Zhaoyang Zhang, Junliang Chen, Hongbo Fu, Jianjun Zhao, Shu-Yu Chen, Lin Gao
Text2Face: Text-Based Face Generation With Geometry and Appearance Control. IEEE Trans. Vis. Comput. Graph. 30 (9) (2024)
Xindi Zheng, Yuwei Wu, Yu Pan, Wanyu Lin, Lei Ma, Jianjun Zhao
DPGAN: A Dual-Path Generative Adversarial Network for Missing Data Imputation in Graphs. CoRR (2024)
Yu Pan, Yanni Hu, Yuguang Yang, Wen Fei, Jixun Yao, Heng Lu, Lei Ma, Jianjun Zhao
GEmo-CLAP: Gender-Attribute-Enhanced Contrastive Language-Audio Pretraining for Accurate Speech Emotion Recognition. ICASSP (2024)
Kai Sun, Lei Zhao, Pengxin Tian, Jianjun Zhao, Dianhui Wang
Prediction of X-ray fluorescence copper grade using regularized stochastic configuration networks. Inf. Sci. 659 (2024)
Yang Hou, Haitao Fu, Chuankai Chen, Zida Li, Haoyu Zhang, Jianjun Zhao
PolyGlotFake: A Novel Multilingual and Multimodal DeepFake Dataset. CoRR (2024)
Jianjun Zhao, Ru Tan, Yaqin Cao, Xutong Wang, Qixu Liu, Xiang Cui
MalPolymer: A Threat Identification System Utilizing Cognate Malicious Login Behavior Detection. CSCWD (2024)
Yu Pan, Yuguang Yang, Heng Lu, Lei Ma, Jianjun Zhao
GMP-ATL: Gender-augmented Multi-scale Pseudo-label Enhanced Adaptive Transfer Learning for Speech Emotion Recognition via HuBERT. CoRR (2024)
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 (2023)
Peixun Long, Jianjun Zhao
Testing Multi-Subroutine Quantum Programs: From Unit Testing to Integration Testing. CoRR (2023)
Yumeng Tang, Shuang Li, Changhai Zhai, Jianjun Zhao
Railway operation recovery method of regional high-speed railway based on optimal resilience after earthquakes. Reliab. Eng. Syst. Saf. 238 (2023)
Yancan Mao, Jianjun Zhao, Zhonghao Yang, Shuhao Zhang, Haikun Liu, Volker Markl
MorphStream: Scalable Processing of Transactions over Streams on Multicores. CoRR (2023)
Jianjun Zhao, Can Yang, Di Wu, Yaqin Cao, Yuling Liu, Xiang Cui, Qixu Liu
Detecting compromised email accounts via login behavior characterization. Cybersecur. 6 (1) (2023)
Yanhui Chen, Yun Feng, Chengchun Wang, Jianjun Zhao, Qixu Liu
DeepCall: A Fast and Robust Malware Classification System with DGCNN and Function Call Graph. CSCWD (2023)
Shangzhou Xia, Jianjun Zhao
Static Entanglement Analysis of Quantum Programs. Q-SE@ICSE (2023)
Peixun Long, Jianjun Zhao
Equivalence, Identity, and Unitarity Checking in Black-Box Testing of Quantum Programs. CoRR (2023)
Pengzhan Zhao, Xiongfei Wu, Zhuo Li, Jianjun Zhao
QChecker: Detecting Bugs in Quantum Programs via Static Analysis. CoRR (2023)
Jianjun Zhao
On Refactoring Quantum Programs. CoRR (2023)
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) (2023)
Jianjun Zhao
On Refactoring Quantum Programs in Q#. QCE (2023)
Pengzhan Zhao, Xiongfei Wu, Junjie Luo, Zhuo Li, Jianjun Zhao
An Empirical Study of Bugs in Quantum Machine Learning Frameworks. CoRR (2023)
Tiancheng Jin, Jianjun Zhao
ScaffML: A Quantum Behavioral Interface Specification Language for Scaffold. CoRR (2023)
Luning Lei, Xing Meng, Ao Zhang, Jianjun Zhao, Xiaoxia Luo, Hao Chen, Ye Zhang
Cellular Interactive Attention Network for Infrared Small Target Detection. IGARSS (2023)
Junjie Luo, Jianjun Zhao
Formalization of Quantum Intermediate Representations for Code Safety. CoRR (2023)
Tiancheng Jin, Jianjun Zhao
ScaffML: A Quantum Behavioral Interface Specification Language for Scaffold. QSW (2023)
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 (2023)
Ziyi Cheng, Baoyuan Wu, Zhenya Zhang, Jianjun Zhao
TAT: Targeted backdoor attacks against visual object tracking. Pattern Recognit. 142 (2023)
Jianjun Zhao, Jun Chu, Lu Leng, Chaolin Pan, Tao Jia
RGRN: Relation-aware graph reasoning network for object detection. Neural Comput. Appl. 35 (22) (2023)
Yang Hou, Qing Guo, Yihao Huang, Xiaofei Xie, Lei Ma, Jianjun Zhao
Evading DeepFake Detectors via Adversarial Statistical Consistency. CoRR (2023)
Yujie Yang, Yizhang Wen, Zixing He, Jianjun Zhao
Optical Absorption COD Sensor for Real-Time, Low-Power-Consumption, Long-Term Monitoring. IEEE Trans. Instrum. Meas. 72 (2023)
Yanhui Chen, Yun Feng, Zhi Wang, Jianjun Zhao, Chengchun Wang, Qixu Liu
IMaler: An Adversarial Attack Framework to Obfuscate Malware Structure Against DGCNN-Based Classifier via Reinforcement Learning. ICC (2023)
Shangzhou Xia, Jianjun Zhao
Static Entanglement Analysis of Quantum Programs. CoRR (2023)
Jiaxi Liu, Yun Feng, Xinyu Liu, Jianjun Zhao, Qixu Liu
MRm-DLDet: a memory-resident malware detection framework based on memory forensics and deep neural network. Cybersecur. 6 (1) (2023)
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 (2023)
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 (2022)
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) (2022)
Kentaro Murakami, Jianjun Zhao
Automated Synthesis of Quantum Circuits using Neural Network. QRS (2022)
Pengjing Guo, Jianjun Zhao, Zizhuan Li, Xianda Ni, Daohuan Tan, Wei Bao
Forest Fire Detection Algorithm Based on DetNet-FPN Feature Fusion Network. AIPR (2022)
Saisai Yuan, Yeqiao Wang, Hongyan Zhang, Jianjun Zhao, Xiaoyi Guo, Tao Xiong, Hui Li, Hang Zhao
Blue-Sky Albedo Reduction and Associated Influencing Factors of Stable Land Cover Types in the Middle-High Latitudes of the Northern Hemisphere during 1982-2015. Remote. Sens. 14 (4) (2022)
Jianuo Li, Hongyan Zhang, Jianjun Zhao, Xiaoyi Guo, Wu Rihan, Guorong Deng
Embedded Feature Selection and Machine Learning Methods for Flash Flood Susceptibility-Mapping in the Mainstream Songhua River Basin, China. Remote. Sens. 14 (21) (2022)
Yongshi Liu, Runmo Wang, Jianjun Zhao, Kai Sun
A Novel Robust Variable Selection Algorithm for Multilayer Perceptron. ASCC (2022)
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 (2022)
Jun Zhang, Dongfang Zhang, Zhenjiang Cai, Linbai Wang, Jing Wang, Lei Sun, Xiaofei Fan, Shuxing Shen, Jianjun Zhao
Spectral technology and multispectral imaging for estimating the photosynthetic pigments and SPAD of the Chinese cabbage based on machine learning. Comput. Electron. Agric. 195 (2022)
Kentaro Murakami, Jianjun Zhao
AutoQC: Automated Synthesis of Quantum Circuits Using Neural Network. CoRR (2022)
Junjie Luo, Pengzhan Zhao, Zhongtao Miao, Shuhan Lan, Jianjun Zhao
A Comprehensive Study of Bug Fixes in Quantum Programs. CoRR (2022)
Jiaming Ye, Mulong Xie, Siyuan Chen, Fuyuan Zhang, Lei Ma, Zhenchang Xing, Jianjun Zhao
Towards Benchmarking GUI Compatibility Testing on Mobile Applications. CoRR (2022)
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 (2022)
José Campos, Jianjun Zhao
Message from the Q-SE 2022 Chairs Q-SE 2022. Q-SE@ICSE (2022)
Junjie Luo, Pengzhan Zhao, Zhongtao Miao, Shuhan Lan, Jianjun Zhao
A Comprehensive Study of Bug Fixes in Quantum Programs. SANER (2022)
Shoma Hamada, Haibo Yu, Vo Dai Trinh, Yuri Nishimura, Jianjun Zhao
Bug Patterns in Probabilistic Programming Systems. QRS Companion (2022)
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) (2022)
Peixun Long, Jianjun Zhao
Testing Quantum Programs with Multiple Subroutines. CoRR (2022)
Zeming Dong, Qiang Hu, Yuejun Guo, Maxime Cordy, Mike Papadakis, Yves Le Traon, Jianjun Zhao
Enhancing Code Classification by Mixup-Based Data Augmentation. CoRR (2022)
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 (2022)
Yadong Zhao, Tao Sun, Jianjun Zhao, Kai Sun
A variable selection and structure optimization algorithm for online sequence extreme learning machine. ASCC (2022)
Yue Cao, Yusheng Liu, Xiaoping Ye, Jianjun Zhao
An Automated Approach for Execution Sequence-Driven Software and Physical Co-Design of Mechatronic Systems Based on Hybrid Functional Ontology. Comput. Aided Des. 131 (2021)
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 (2021)
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)
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)
Pengzhan Zhao, Jianjun Zhao, Lei Ma
Identifying Bug Patterns in Quantum Programs. CoRR (2021)
Pengzhan Zhao, Jianjun Zhao, Zhongtao Miao, Shuhan Lan
Bugs4Q: A Benchmark of Real Bugs for Quantum Programs. CoRR (2021)
Jianjun Zhao
Some Size and Structure Metrics for Quantum Software. CoRR (2021)
Jianjun Zhao
Some Size and Structure Metrics for Quantum Software. Q-SE@ICSE (2021)
Hui Li, Hongyan Zhang, Qixin Li, Jianjun Zhao, Xiaoyi Guo, Hong Ying, Guorong Deng, Wu Rihan, Shuling Wang
Vegetation Productivity Dynamics in Response to Climate Change and Human Activities under Different Topography and Land Cover in Northeast China. Remote. Sens. 13 (5) (2021)
Le Manh Duc, Haibo Yu, Jianjun Zhao
Bug Characteristics in Probabilistic Programming Systems: A Comprehensive Study. QRS Companion (2021)
Pengzhan Zhao, Jianjun Zhao, Lei Ma
Identifying Bug Patterns in Quantum Programs. Q-SE@ICSE (2021)
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 (2021)
Zhenya Zhang, Deyun Lyu, Paolo Arcaini, Lei Ma, Ichiro Hasuo, Jianjun Zhao
On the Effectiveness of Signal Rescaling in Hybrid System Falsification. NFM (2021)
Qing Guo, Ziyi Cheng, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Yang Liu, Jianjun Zhao
Learning to Adversarially Blur Visual Object Tracking. ICCV (2021)
Qing Guo, Ziyi Cheng, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Yang Liu, Jianjun Zhao
Learning to Adversarially Blur Visual Object Tracking. CoRR (2021)
Xiaoting Du, Zheng Zheng, Lei Ma, Jianjun Zhao
An Empirical Study on Common Bugs in Deep Learning Compilers. ISSRE (2021)
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)
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)
Yinxing Xue, Jiaming Ye, Wei Zhang, Jun Sun, Lei Ma, Haijun Wang, Jianjun Zhao
Machine Learning Guided Cross-Contract Fuzzing. CoRR (2021)
Pengzhan Zhao, Jianjun Zhao, Zhongtao Miao, Shuhan Lan
Bugs4Q: A Benchmark of Real Bugs for Quantum Programs. ASE (2021)
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)
Tongxin Wang, Hongyan Zhang, Jianjun Zhao, Xiaoyi Guo, Shouzheng Tong
Estimation of Water-Use Efficiency Based on Satellite for the Typical Croplands. IEEE Access 8 (2020)
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)
Haibo Yu, Qiang Sun, Kejun Xiao, Yuting Chen, Tsunenori Mine, Jianjun Zhao
Parallelizing Flow-Sensitive Demand-Driven Points-to Analysis. QRS Companion (2020)
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 (2020)
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)
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 (2020)
Guorong Deng, Hongyan Zhang, Lingbin Yang, Jianjun Zhao, Xiaoyi Guo, Hong Ying, Wu Rihan, Dan Guo
Estimating Frost during Growing Season and Its Impact on the Velocity of Vegetation Greenup and Withering in Northeast China. Remote. Sens. 12 (9) (2020)
Xiaoning Du, Yi Li, Xiaofei Xie, Lei Ma, Yang Liu, Jianjun Zhao
Marble: Model-based Robustness Analysis of Stateful Deep Learning Systems. ASE (2020)
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)
Jianjun Zhao
Quantum Software Engineering: Landscapes and Horizons. CoRR (2020)
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)
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)
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 (2020)
Gefei Zhang, Jianjun Zhao
Scenario Testing of AngularJS-Based Single Page Web Applications. ICWE Workshops (2019)
Chao Xie, Hua Qi, Lei Ma, Jianjun Zhao
DeepVisual: a visual programming tool for deep learning systems. ICPC (2019)
Siwen Feng, Jianjun Zhao, Tingting Liu, Hongyan Zhang, Zhengxiang Zhang, Xiaoyi Guo
Crop Type Identification and Mapping Using Machine Learning Algorithms and Sentinel-2 Time Series Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12 (9) (2019)
Jianjun Zhao, Shen-Shyang Ho
Improving Bayesian network local structure learning via data-driven symmetry correction methods. Int. J. Approx. Reason. 107 (2019)
Jian Tang, Junfei Qiao, Zhuo Liu, Xiaojie Zhou, Gang Yu, Jianjun Zhao
Optimized ensemble modeling based on feature selection using simple sphere criterion for multi-scale mechanical frequency spectrum. Soft Comput. 23 (16) (2019)
Wu Rihan, Jianjun Zhao, Hongyan Zhang, Xiaoyi Guo, Hong Ying, Guorong Deng, Hui Li
Wildfires on the Mongolian Plateau: Identifying Drivers and Spatial Distributions to Predict Wildfire Probability. Remote. Sens. 11 (20) (2019)

Jianjun Zhao.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Jianjun Zhao