Publications & Patents

我们的发表与专利成果

Publications

2024

  1. Xinyu Lin, Yingjie Zhou, Yipeng Liu and Ce Zhu. A Comprehensive Review of Image Line Segment Detection and Description: Taxonomies, Comparisons, and Challenges, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024.
  2. Han Yang, Weiming Yuan, Weijun Zhu, Zhenye Sun, Yanru Zhang, Yingjie Zhou. Wind turbine airfoil noise prediction using dedicated airfoil database and deep learning technology. Applied Energy, 2024.
  3. Fanxing Liu, Lu Zhang, Hao Li, Siyu Zhou, Yingjie Zhou. A Weakly Supervised Time Series Anomaly Detection Method with Dual-Association Discrepancy, Signal, Image and Video Processing, 2024.
  4. Zhen Qin, Yujie Chen, Guosong Zhu, Erqiang Zhou, Yingjie Zhou, Yicong Zhou and Ce Zhu. Enhanced Pseudo-Label Generation with Self-supervised Training for Weakly-supervised Semantic Segmentation, IEEE Transactions on Circuits and Systems for Video Technology, 2024.
  5. Hongliang Guo, Zhi He, Wenda Sheng, Zhiguang Cao, Yingjie Zhou and Weinan Gao. SEGAC: Sample Efficient Generalized Actor Critic for the Stochastic On-Time Arrival Problem, IEEE Transactions on Intelligent Transportation Systems, 2024.

2023

  1. Jiaxuan Geng, Junfeng Wang, Zhiyang Fang, Yingjie Zhou, Di Wu, Wenhan Ge. A Survey of strategy-driven evasion methods for PE malware: transformation, concealment, and attack, Computers & Security, 2023.
  2. Chunyu Zhu, Shangqi Deng, Yingjie Zhou, Liangjian Deng, Qiong Wu. QIS-GAN: A Lightweight Adversarial Network with Quadtree Implicit Sampling for Multispectral and Hyperspectral Image Fusion, IEEE Transactions on Geoscience and Remote Sensing, 2023.
  3. Xinyu Lin, Yingjie Zhou, Yipeng Liu and Ce Zhu. Effective and Efficient Line Segment Detection for Visual Measurement Guided by Level Lines, IEEE Transactions on Instrumentation and Measurement, 2023.
  4. Xianggang Li, Jing Wu, Rong Hou, Zhangyu Zhou, Chang Duan, Peng Liu, Mengnan He, Yingjie Zhou, Peng Chen, Ce Zhu. Analyzing the Pregnancy Status of Giant Pandas with Hierarchical Behavioral Information, Expert Systems With Applications, 2023. (To the best of our knowledge, this is the first work that analyzes the pregnancy status of giant pandas based on intelligent video analysis.)
  5. Xinyu Lin, Yingjie Zhou, Yipeng Liu and Ce Zhu. Level Line Guided Interest Point Detection, IEEE Signal Processing Letters, 2023, 30: 863-867.
  6. Jiajun Yan, Wenlai Zhao, Yue Ivan Wu and Yingjie Zhou. Indoor Sound Source Localization under Reverberation by Extracting the Features of Sample Covariance, Applied Acoustics, 2023.
  7. Hongliang Guo, Wenda Sheng, Yingjie Zhou and Yunping Chen. GE-DDRL: Graph Embedding and Deep Distributional Reinforcement Learning for Reliable Shortest Path: A Universal and Scale Free Solution. IEEE Transactions on Intelligent Transportation Systems, 2023.
  8. Xinyu Lin, Yingjie Zhou, Yipeng Liu and Ce Zhu. A Long-term Visual Localization System for Resource-Constrained Mobile Robots in Challenging Outdoor Environments, ICCV(Demo), 2023.
  9. Xinyu Lin, Yingjie Zhou, Yipeng Liu, Ce Zhu. A dedicated benchmark for contour-based corner detection evaluation, Image and Vision Computing, 2023.
  10. Feng Qian, Yuehua Yue, Yu He, Hongtao Yu, Yingjie Zhou, Jinliang Tang and Guangmin Hu. Unsupervised Seismic Footprint Removal With Physical Prior Augmented Deep Autoencoder, IEEE Transactions on Geoscience and Remote Sensing, 2023. *ESI Highly Cited Paper (TOP 1% worldwide)*
  11. Kangshuai Guo, Shichao Luo, Ming Liang, Zhongjian Zhang, Huabin Yang, Yan Wang and Yingjie Zhou. Credit Default Prediction on Time-Series Behavioral Data Using Ensemble Models, International Joint Conference on Neural Networks (IJCNN), Queensland, Australia, 2023.
  12. Xinyu Lin, Yingjie Zhou, Xun Zhang, Yipeng Liu and Ce Zhu. Illumination-insensitive Binary Descriptor for Visual Measurement Based on Local Inter-patch Invariance, IEEE Transactions on Instrumentation and Measurement, 2023
  13. Xinyu Lin, Yingjie Zhou, Xun Zhang, Yipeng Liu, Ce Zhu. Efficient and Effective Multi-Camera Pose Estimation with Weighted M-Estimate Sample Consensus, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greek, 2023.
  14. Xinyu Lin, Yingjie Zhou, Yipeng Liu, Ce Zhu. Level-line Guided Edge Drawing for Robust Line Segment Detection, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greek, 2023.
  15. Xinyu Lin, Yingjie Zhou, Yipeng Liu and Ce Zhu. Illumination-insensitive Line Binary Descriptor Based on Hierarchical Band Difference, IEEE Transactions on Circuits and Systems II: Express Briefs, 2023.
  16. Ya Liu, Yingjie Zhou, Kai Yang and Xin Wang. Unsupervised Deep Learning for IoT Time Series, IEEE Internet of Things Journal, 2023.
  17. Feng Qian, Yu He, Yuehua Yue, Yingjie Zhou, Bo Wu and Guangmin Hu. Improved Low-Rank Tensor Approximation for Seismic Random Plus Footprint Noise Suppression, IEEE Transactions on Geoscience and Remote Sensing, 2023. *ESI Highly Cited Paper (TOP 1% worldwide)*

2022

  1. Fanxing Liu*, Cheng Zeng*, Le Zhang, Yingjie Zhou, Qing Mu, Yanru Zhang, Ling Zhang and Ce Zhu. FedTADBench: Federated Time-Series Anomaly Detection Benchmark, IEEE International Conference on High Performance Computing & Communications (HPCC 2022), Chengdu, China, 2022. (Best Paper Award; CCF C, 2 out of 663 submissions)
  2. Meitong Guo, Pinpin Zhang, Yimao Sun, Weihua Zhang, Yingjie Zhou and Yanbing Yang. Object recognition in optical camera communication enabled by image restoration, Optics Express, 2022.
  3. Xinyu Lin, Yingjie Zhou, Yipeng Liu and Ce Zhu. Long-term Visual Localization Using Illumination Insensitive Descriptors, IEEE International Workshop on Multimedia Signal Processing (MMSP 2022), Shanghai, China, 2022. (Best Demo Award)
  4. Feng Qian, Yan Wang, Bingwei Zheng, Zhangbo Liu, Yingjie Zhou and Guangmin Hu. Multidimensional Seismic Data Denoising Using Framelet-Based Order-p Tensor Deep Learning, IEEE Transactions on Geoscience and Remote Sensing, 2022.
  5. Chenghao Huang, Weilong Chen, Xiaoyi Wang, Feng Hong, Shunji Yang, Yuxi Chen, Shengrong Bu, Changkun Jiang, Yingjie Zhou and Yanru Zhang. DearFSAC: A DRL-based Robust Design for Power Demand Forecasting in Federated Smart Grid, IEEE Global Communications Conference (Globecom 2022), Rio de Janeiro, Brazil, 2022.
  6. Hongliang Guo, Rui Shi, Yiran Deng, Qiming Chen and Yingjie Zhou. Reliable Navigation Learning in Stochastic Transportation Networks with Uncertain Topology, International Conference on Pattern Recognition and Machine Learning (PRML 2022), Chengdu, China, 2022. (Best Paper Award)
  7. 赵伟, 周颖杰, 李政辉, 杨松, 吕建成. 一种基于少量异常标签的SQL注入攻击检测方法, 四川大学学报(自然科学版), 2022, 59(6): 062001.
  8. Qibin Li, Jiahui Ren, Yu Liu and Yingjie Zhou. Prediction of critical properties and boiling point of fluorine/chlorine-containing refrigerants. International Journal of Refrigeration, 2022.
  9. Yingjie Zhou, Xucheng Song, Yanru Zhang, Fanxing Liu, Ce Zhu and Lingqiao Liu. Feature Encoding with AutoEncoders for Weakly-supervised Anomaly Detection, IEEE Transactions on Neural Networks and Learning Systems, 2022, 33(6): 2454 - 2465.
  10. Wenda Sheng, Hongliang GUO, Wei-Yun Yau, Yingjie Zhou, PD-FAC: Probability Density Factorized Multi-Agent Distributional Reinforcement Learning for Multi-Robot Reliable Search, IEEE Robotics and Automation Letters, 2022, In Press.
  11. Jiaxin Liu*, Xucheng Song*, Yingjie Zhou, Xi Peng, Yanru Zhang, Pei Liu, Dapeng Wu and Ce Zhu, Deep Anomaly Detection in Packet Payload, Neurocomputing, 2022, 485: 205-218.
  12. Feng Qian, Zhangbo Liu, Yan Wang, Yingjie Zhou, and Guangmin Hu. Ground Truth-Free 3-D Seismic Random Noise Attenuation via Deep Tensor Convolutional Neural Networks in the Time-Frequency Domain, IEEE Transactions on Geoscience and Remote Sensing, 2022. *ESI Highly Cited Paper (TOP 1% worldwide)*

2021

  1. Zeng Zeng, Wei Zhao, Peisheng Qian, Yingjie Zhou, Ziyuan Zhao, Cen Chen and Cuntai Guan. Robust Traffic Prediction from Spatial-Temporal Data Based on Conditional Distribution Learning, IEEE Transactions on Cybernetics, 2021, In Press.
  2. Yiran Deng, Yingjie Zhou and Zhiyong Zhang, Short-Long Correlation Based Graph Neural Networks for Residential Load Forecasting, International Conference on Neural Information Processing (ICONIP 2021), Virtual, 2021.
  3. Yanru Zhang, Feng Hong, Yan Wang, Zhi Liu, Yingjie Zhou, Zheng Chang, George Chen, Edge Intelligence for Plug-in Electrical Vehicle Charging Service, IEEE Network, 2021, 35(3): 81-87.
  4. Xin Wu, Yan Zhuang, Wei Bai, Yingjie Zhou and Yan Wang, Optimal Subsidy Policy for Green Energy Trading Among Three Parties: A Game Theoretical Approach, IEEE Access, 2021, 9, 86321-86330.
  5. Pei Liu, Yingjie Zhou, Dezhong Peng and Dapeng Wu. Global-Attention-Based Neural Networks for Vision Language Intelligence, IEEE/CAA Journal of Automatica Sinica, 2021, 8(7): 1243-1252.
  6. Zhiyang Fang, Junfeng Wang, Jiaxuan Geng, Yingjie Zhou and Xuan Kan. A3CMal: Generating Adversarial Samples to Force Targeted Misclassification by Reinforcement Learning, Applied Soft Computing, 2021, 109: 107505.
  7. Yanru Zhang, Yingjie Zhou, Changkun Jiang, Yan Wang, Ruichang Zhang and George Chen, Plug-in Electric Vehicle Charging with Multiple Charging Options: A Systematic Analysis of Service Providers’ Pricing Strategies, IEEE Transactions on Smart Grid, 2021, 12(1): 524-537.

2020

  1. Jiachen Wu, Jipeng Li, Yan Wang, Yanru Zhang and Yingjie Zhou, Optimal Defense Strategy against Evasion Attacks, International Conference on Mobility, Sensing and Networking (IEEE MSN 2020), Tokyo, Japan, 2020. (CCF C, the first author is an undergraduate student under Dr. Zhou’s supervision)
  2. Lijia Deng, Wenzheng Xu, Weifa Liang, Jian Peng, Yingjie Zhou, Lei Duan and Sajal K. Das, Approximation Algorithms for the Min-Max Cycle Cover Problem With Neighborhoods, IEEE/ACM Transactions on Networking, 2020, 28(4): 1845-1858.
  3. Ye Hong, Yingjie Zhou, Qibing Li, Wenzheng Xu and Xiujuan Zheng, A Deep Learning Method for Short-Term Residential Load Forecasting in Smart Grid, IEEE Access, 2020, 8, 55785-55797.
  4. Jiaxin Liu, Wei Zhao, Ye Hong, Sheng Gao, Xi Huang and Yingjie Zhou, Learning Features of Brain Network for Anomaly Detection, IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2020.
  5. Yanru Zhang, Yingjie Zhou, Zhi Liu, Bidushi Barua and Duy H. N. Nguyen, Toward Efficient Network Resource Sharing: From One-Sided Market to Two-Sided Market, IEEE Wireless Communications, 2020, 27(2): 141-147.
  6. Yingjie Zhou, Zhongtao Yue, Quan-Hui Liu and Wei Wang, Social reinforcement inducing discontinuous spreading in complex networks, EuroPhysics Letters (EPL), 2020, 128: 68002.

2019

  1. Quanhui Liu, Yingjie Zhou, Zhongtao Yue, Bidushi Barua and Yanru Zhang, Optimal Pricing Strategy for Residential Electricity Usage in Smart Grid, IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (IEEE SmartGridComm 2019), Beijing, China, 2019.
  2. Yan Liang, Wenzheng Xu, Weifa Liang, Jian Peng, Xiaohua Jia, Yingjie Zhou and Lei Duan, Non-redundant Information Collection in Rescue Applications via an Energy-Constrained UAV, IEEE Internet of Things Journal, 2019, 6(2): 2945- 2958.
  3. Chiranjib Sur, Pei Liu, Yingjie Zhou and Dapeng Wu, Semantic Tensor Product for Image Captioning, International Conference on Big Data Computing and Communications (BIGCOM2019), Qingdao, China, 2019.
  4. Shengli Pan, Yingjie Zhou, Zhiyong Zhang, Song Yang, Feng Qian and Guangmin Hu, Identify Congested Links with Network Tomography Under Multipath Routing, Journal of Network and Systems Management, 2019, 27: 409-429.

2018

  1. Zhen Qin, Yilei Wang, Hongrong Cheng, Yingjie Zhou, Zhengguo Sheng and Victor C.M. Leung, Demographic Information Prediction: A Portrait of Smartphone Application Users, IEEE Transactions on Emerging Topics in Computing, 2018, 6(3): 432-444.
  2. Yuan Xue, Pan Zhou, Shiwen Mao, Dapeng Oliver Wu and Yingjie Zhou, Pure-Exploration Bandits for Channel Probing in Mission Critical Wireless Communications, IEEE Transactions on Vehicular Technology, 2018, 67(11): 10095-11007.

Patents

  1. 一种智能电网异常用电行为检测方法, 中国发明专利, ZL.201610711185.6
  2. 一种智能电网电能使用量预测方法, 中国发明专利, ZL.201610648163.X
  3. 窃电行为检测方法及装置, 中国发明专利, ZL.201910274260.0