English Homepage

Yu Lu, Ph.D.

Office: C1-1615

Labs:

Email: lvyu [at] sztu [dot] edu [dot] cn

Openings

I have multiple openings throughout the year for Research Fellows, postdoctoral researchers, jointly supervised Ph.D. students, master’s students, research assistants, undergraduate students, interns, and visiting students. The available research projects cover medical artificial intelligence, autonomous unmanned systems, formal methods, and related areas. Motivated and talented students who are interested in working with me are welcome to contact me by email.

Introduction

I am currently an Associate Professor and Master’s Supervisor at Shenzhen Technology University. I have been recognized as a Category C Talent under Shenzhen’s Overseas High-Caliber Talent “Peacock Plan” and am a member of the Jiusan Society.

I have published more than 100 academic papers in international journals, including IEEE Journal of Biomedical and Health Informatics, IEEE Transactions on Aerospace and Electronic Systems, Pattern Recognition, Expert Systems with Applications, Applied Soft Computing, Neurocomputing, Knowledge-Based Systems, Artificial Intelligence in Medicine, Ocean Engineering, and Reliability Engineering & System Safety, as well as at international conferences such as AAAI, IROS, ICME, ICASSP, and BIBM.

I have led or participated in more than ten research projects, including General Programs of the National Natural Science Foundation of China and Key-Area Special Projects for General Universities in Guangdong Province. I have been granted two invention patents, with another six invention patent applications currently under examination, and have completed the commercialization of one research achievement. I also serve as a reviewer for leading IEEE journals, including IEEE TPAMI, IEEE TIP, IEEE TMI, IEEE JBHI, IEEE TDSC, IEEE TIFS, IEEE TII, IEEE TMECH, IEEE TGRS, IEEE TMC, and IEEE TETCI.

News

Selected Publications

(2018.9-)

International Journal Articles

  1. Muhammad Tahir Rasheed, Yantao Zeng, Hufsa Khan, Mohammad Sultan Mahmud, Yu Lu, Yan Kang, Junsong Wang*. High-Fidelity ECG Synthesis from Ballistocardiography Using an Adaptive Dual-Encoder Wavelet–Temporal Fusion Network, Biomedical Signal Processing and Control, Volume 128, December 2026, 111241. https://doi.org/10.1016/j.bspc.2026.111241
  2. Wenbin Feng, Yu Lu*, Xiaoqing Li, Kai Leung Yung, Wai Hung Ip. Fog/Edge-Aware State Space Models for Multi-Task Chest X-ray Report Generation and Lesion Detection, IEEE Journal of Biomedical and Health Informatics, 25 February 2026, Early Access. https://doi.org/10.1109/JBHI.2026.3667969
  3. Kelvin K.L. Wong, Yu Lu*, Wai Hung Ip, Wenjun Zhang, Zhili Sun. Bridging Weibull Failure Models and CTMC Verification: Automated Phase-Type Encoding for Satellite Reliability Analysis in PRISM, IEEE Transactions on Aerospace and Electronic Systems, 62:6607-6623, 17 February 2026. https://doi.org/10.1109/TAES.2026.3665850
  4. Huilin Ge, Jie Zhu, Wenbin Feng, Jiali Ouyang, Ze Wang, Xiaoping Chen, Yu Lu*. AquaSlot-SAM: Coupling slot-based State Space Models with SAM for robust underwater video multi-object segmentation, Pattern Recognition, Volume 174, June 2026, 112964. https://doi.org/10.1016/j.patcog.2025.112964
  5. Huilin Ge, Meng Li, Guanghui Wen, Yu Lu*. Safety-assured decision support for ASV navigation via hybrid graph planning and timed automata verification, Expert Systems With Applications, Volume 312, May 2026, 131367. https://doi.org/10.1016/j.eswa.2026.131367
  6. Siqiang Zheng#, Yu Lu#, Xuetong Xu, Kai Sun, Lanzhu Zhang*, Zhiqin Qian*. Acoustic-Emission–Driven Pipeline Leak Detection Using Wavelet Time–Frequency Maps and Inception-V3 Deep Network, Computers, Materials and Continua, 87(3):81, April 2026. https://doi.org/10.32604/cmc.2026.076059
  7. Yu Lu, Zhenpeng Xu, Meng Li*, Xianghua Fu, Kai Leung Yung, Wai Hung Ip. A Benchmark Dataset and Lightweight Model for Multi-Distance Gesture Recognition in UAV Control, Applied Soft Computing, Volume 186, Part D, January 2026, 114222. https://doi.org/10.1016/j.asoc.2025.114222
  8. Huilin Ge, Pan Sun, Yu Lu*. A New Dataset, Model, and Benchmark for Lightweight and Real-Time Underwater Object Detection, Neurocomputing, 651:130891, 28 October 2025. https://doi.org/10.1016/j.neucom.2025.130891
  9. Yu Lu*, Zhanpeng Xu, Kai Leung Yung, Wai Hung Ip. MSL-Net: A Lightweight Self-Supervised Multi-Task Framework for IoMT-Enabled Medical Image Segmentation and Landmark Localization, Internet of Things, 33:101709, September 2025. https://doi.org/10.1016/j.iot.2025.101709
  10. Weifang Xie, Pufan Cai, Yating Hu, Yu Lu*, Cang Chen, Zhiqi Cai, Xianghua Fu. AI-driven paradigm shift in computerized cardiotocography analysis: A systematic review and promising directions, Neurocomputing, 607:128446, 28 November 2024. https://doi.org/10.1016/j.neucom.2024.128446
  11. Qingjun Cao, Hongzan Sun, Hua Wang, Xueyan Liu, Yu Lu, Liang Huo*. Comparative study of neonatal brain injury fetuses using machine learning methods for perinatal data, Computer Methods and Programs in Biomedicine, 240:107701, October 2023. https://doi.org/10.1016/j.cmpb.2023.107701
  12. Huanwen Liang, Yu Lu*. A CNN-RNN unified framework for intrapartum cardiotocograph classification, Computer Methods and Programs in Biomedicine, 229:107300, February 2023. https://doi.org/10.1016/j.cmpb.2022.107300
  13. Yucheng Song, Shengbing Ren, Yu Lu*, Xianghua Fu, Kelvin K.L. Wong**. Deep Learning-Based Automatic Segmentation of Images in Cardiac Radiography: A Promising Challenge, Computer Methods and Programs in Biomedicine, 220:106821, June 2022. https://doi.org/10.1016/j.cmpb.2022.106821
  14. Ming He, Xudong Zhao, Yu Lu, Yi Hu*. An improved AlexNet model for automated skeletal maturity assessment using hand X-ray images. Future Generation Computer Systems, 121:106-113, August 2021. https://doi.org/10.1016/j.future.2021.03.018
  15. Mojisola Grace Asogbon, Yu Lu, Oluwarotimi Williams Samuel, Liwen Jing, Alice A. Miller, Guanglin Li, Kelvin K.L. Wong*. GBRAMP: A generalized backtracking regularized adaptive matching pursuit algorithm for signal reconstruction. Computers and Electrical Engineering, 92:107189, June 2021. https://doi.org/10.1016/j.compeleceng.2021.107189
  16. Xiaoqing Li, Yu Lu*, Xianghua Fu, Yingjian Qi. Building the Internet of Things platform for smart maternal healthcare services with wearable devices and cloud computing. Future Generation Computer Systems, 118:282-296, May 2021. https://doi.org/10.1016/j.future.2021.01.016
  17. Xiliang Zhu, Yang Wei, Yu Lu, Ming Zhao*, Ke Yang, Shiqian Wu, Zhang Hui, Kelvin K.L. Wong**. Comparative analysis of active contour and convolutional neural network in rapid left-ventricle volume quantification using echocardiographic imaging. Computer Methods and Programs in Biomedicine, 199:105914, February 2021. https://doi.org/10.1016/j.cmpb.2020.105914
  18. Yu Lu, Xi Zhang, Liwen Jing, Xiaoqing Li, Xianghua Fu*. Estimation of the foetal heart rate baseline based on singular spectrum analysis and empirical mode decomposition. Future Generation Computer Systems, 112:126-135, November 2020. https://doi.org/10.1016/j.future.2020.05.008
  19. Ming Zhao, Yang Wei, Yu Lu, Kelvin K.L. Wong*. A novel U-Net approach to segment the cardiac chamber in magnetic resonance images with ghost artifacts. Computer Methods and Programs in Biomedicine, 196:105623, May 2020. https://doi.org/10.1016/j.cmpb.2020.105623
  20. Xu Chen, Jianjun Li, Yanchao Zhang, Yu Lu, Shaoyu Liu*. Automatic feature extraction in X-ray image based on deep learning approach for determination of bone age. Future Generation Computer Systems, 110:795-801, September 2020. https://doi.org/10.1016/j.future.2019.10.032
  21. Yu Lu, Xianghua Fu, Fangxiong Chen, Kelvin K.L. Wong*. Prediction of fetal weight at varying gestational age in the absence of ultrasound examination using ensemble learning, Artificial Intelligence in Medicine, 102:101748, January 2020. https://doi.org/10.1016/j.artmed.2019.101748
  22. Yu Lu, Yingjian Qi, Xianghua Fu*. A framework for intelligent analysis of digital cardiotocographic signals from IoMT-based foetal monitoring. Future Generation Computer Systems, 101:1130-1141, December 2019. https://doi.org/10.1016/j.future.2019.07.052
  23. Xianghua Fu, Yanzhi Wei, Fan Xu*, Ting Wang, Yu Lu, Jianqiang Li, Joshua Zhexue Huang. Semi-supervised Aspect-level Sentiment Classification Model based on Variational Autoencoder. Knowledge-Based Systems, 171:81-92, May 2019. https://doi.org/10.1016/j.knosys.2019.02.008

International Conference Papers

  1. Wenbin Feng, Yu Lu*, Yuetong Lin, Meng Li, Qiang Li. Object-Centric State-Guided SAM for Temporally Coherent Multi-Object Segmentation in Complex Underwater Environments. Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2026), Pittsburgh, PA, USA, September 27-October 1, 2026.
  2. Xi Yu#, Haotong Luan#, Keyi Chen#, Anran Lu, Hongtao Zhang, Yu Lu*, Jianwu Chen*, Yuan Gao*. A Conformal Selective Diagnosis Framework for Reliable Bearing Fault Identification Under Domain Shift. Proceedings of the 2026 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2026), Bellevue, WA, USA, October 4-7, 2026.
  3. Xiaoqing Li, Wenbin Feng, Yu Lu*, Judice Koh, Ellie Choi, Jianli Chen, Jinhong He, Kee Yuan Ngiam*. Unsupervised Adaptive Path Optimization for Knowledge Graph Reasoning in Multimodal Medical Diagnosis. Proceedings of the 22nd International Conference on Intelligent Computing (ICIC 2026), Toronto, Canada, July 22-26, 2026. https://doi.org/10.1007/978-981-92-3441-7_39
  4. Xiaoqing Li, Li Sun, Yu Lu*, Kee Yuan Ngiam*. Knowledge Graph-Enhanced Medical Large Language Models: Challenges, Methods, and Future Directions. Proceedings of the 22nd International Conference on Intelligent Computing (ICIC 2026), Toronto, Canada, July 22-26, 2026. https://doi.org/10.1007/978-981-92-3441-7_37
  5. Yating Hu, Yu Lu*, Wei Zhang, Shijie Shi, Junsong Wang. Physiology-Aware Benchmarking of Deep Generative Models for Fetal ECG Synthesis. Proceedings of the 22nd International Conference on Intelligent Computing (ICIC 2026), Toronto, Canada, July 22-26, 2026. https://doi.org/10.1007/978-981-92-3441-7_35
  6. Jiawei Dong, Meng Li, Zhanjiang Yang, Yulu Zeng, Yu Lu*. H-LIGO: A Hierarchical Lidar-Inertial-GNSS Odometry SLAM System for Robust Indoor-Outdoor Navigation. Proceedings of the 22nd International Conference on Intelligent Computing (ICIC 2026), Toronto, Canada, July 22-26, 2026. https://doi.org/10.1007/978-981-92-3447-9_44
  7. Jinming Huang, Meng Li*, Jianfang Wu, Junsong Wang, Zhanjiang Yang, Jiawei Dong, Ju Li, Yu Lu. Efficiency-Accuracy Trade-offs of Spiking Residual Networks for Real-World Corridor Visual Decision. Proceedings of the 22nd International Conference on Intelligent Computing (ICIC 2026), Toronto, Canada, July 22-26, 2026. https://doi.org/10.1007/978-981-92-3447-9_46
  8. Zhanjiang Yang#, Lijun Sun#, Jiawei Dong, Xiaoxin An, Yang Liu, Yu Lu, Meng Li*. MCGA: Mixture of Codebooks Hyperspectral Reconstruction via Grayscale-Aware Attention. Proceedings of the 22nd International Conference on Intelligent Computing (ICIC 2026), Toronto, Canada, July 22-26, 2026. https://doi.org/10.1007/978-981-92-3513-1_23
  9. Haikang Gao, Jiawei Dong, Yuan Zhao, Zhenyu Chen, Gaolei Yi, Yu Lu, Meng Li*. Collaborative End-Edge-Cloud Framework for Multi-modal Dynamic 3D Reconstruction on Edge Devices. Proceedings of the 22nd International Conference on Intelligent Computing (ICIC 2026), Toronto, Canada, July 22-26, 2026.
  10. Weifang Xie, Yu Lu*. Background-Aware Optimization for Reliable Camellia meiocarpa Fruit Detection in Complex Orchard Scenes. Proceedings of the 22nd International Conference on Intelligent Computing (ICIC 2026), Toronto, Canada, July 22-26, 2026. https://doi.org/10.1007/978-981-92-3441-7_40
  11. Xiaokang Deng, Yu Lu*, Wei Zhang, Xianghua Fu*. LLM-Guided SAM for Left Ventricle Segmentation and Functional Analysis in Echocardiography. Proceedings of the 2026 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain, 4-8 May 2026. https://doi.org/10.1109/ICASSP55912.2026.11464908
  12. Yiting Peng, Yu Lu*, Shijie Shi, Junsong Wang. Knowledge-Guided Dual-View Self-Supervised Learning for Robust FHR Signal Classification. Proceedings of the 2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Wuhan, China, December 15-18, 2025. https://doi.org/10.1109/BIBM66473.2025.11357104
  13. Yantao Zeng, Muhammad Tahir Rasheed, Peng Chen, Hufsa Khan, Yu Lu, Junsong Wang*. BiM-Diff: ECG Reconstruction from BCG with a Bidirectional Mamba-based Diffusion Model. Proceedings of the 2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Wuhan, China, December 15-18, 2025. https://doi.org/10.1109/BIBM66473.2025.11356337
  14. Wei Zhang*, Yu Lu*, Han Jiang*, Xiujuan Zhao, Qianying Liu, Bingding Huang, Zhaoshun Zhang, Zhicheng Dong, Liyilei Su. Enhancing Early Detection of Tractional Retinal Lesions in OCT via Self-Supervised Learning. Proceedings of the 2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Wuhan, China, December 15-18, 2025. https://doi.org/10.1109/BIBM66473.2025.11356400
  15. Yongfa Liu#, Yu Lu#, Yunhao Yang, Bin Zeng, Zexiang Guo, Yueling Lyu, Xinrui Wan, Xiao Song, Shurong Peng*. MALSeg: A Hyperspectral Benchmark and Lightweight Model for Acne Lesion Segmentation. Proceedings of the 2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Wuhan, China, December 15-18, 2025. https://doi.org/10.1109/BIBM66473.2025.11357221
  16. Yu Lu, Wei Zhang*. Task-Adaptive Framework for Joint Medical Image Segmentation and Landmark Detection. Proceedings of the 2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Wuhan, China, December 15-18, 2025. https://doi.org/10.1109/BIBM66473.2025.11356501
  17. Pan Sun, Yu Lu*, Shijie Shi, Meng Li, Qiang Li, Huilin Ge. EFCWM-Mamba-YOLO: Real-Time Underwater Object Detection with Adaptive Feature Representation and Domain Adaptation. Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025), Hangzhou, China, October 19-25, 2025. https://doi.org/10.1109/IROS60139.2025.11247410
  18. Wenbin Feng, Yu Lu*, Xiaoqing Li, Shijie Shi, Yingjian Qi. MambaXray-CTL: Multi-Stage Contrastive Training for Medical Report Generation with a Mamba-Based Multi-Modal Large Model. Proceedings of the 2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Vienna, Austria, October 5-8, 2025. https://doi.org/10.1109/SMC58881.2025.11343574
  19. Wenbin Feng, Yu Lu*, Shijie Shi**, Meng Li, Huilin Ge. A Deep Learning Model for Surface Defect Detection in Thermoelectric Cooler Components. Proceedings of the 21st International Conference on Intelligent Computing (ICIC 2025), 163-172, Ningbo, China, July 26-29, 2025. https://doi.org/10.1007/978-981-96-9921-6_14
  20. Wei Zhang*, Haonan Qin, Xiujuan Zhao, Yu Lu, Bingding Huang, Zhicheng Dong, Caifen Wang. Attention-Enhanced Few-Shot Diagnosis of Pathological Myopia and MTM. Proceedings of the 21st International Conference on Intelligent Computing (ICIC 2025), 329–338, Ningbo, China, July 26-29, 2025. https://doi.org/10.1007/978-981-96-9921-6_27
  21. Yu Lu, Qiong Zhu, Leya Li*, Heng Zhao, Yiting Peng, Pufan Cai, Shijie Shi**. MSEU-Net: Multi-Scale Segmentation and Baseline Estimation in Fetal Heart Rate Time Series. Proceedings of the 2025 International Joint Conference on Neural Networks (IJCNN 2025), Rome, Italy, June 30 - July 5, 2025. https://doi.org/10.1109/IJCNN64981.2025.11227893
  22. Lingzhi Zhou, Hongjing Chen, Ziqing You, Yuhuan Liao, Qing Liu, Demin Pang, Jiawen Yi, Yu Lu*. An Image Hiding Scheme based on Bayesian Optimization Reinforcement Learning and Chaotic Encryption. Proceedings of the 2025 International Joint Conference on Neural Networks (IJCNN 2025), Rome, Italy, June 30 - July 5, 2025. https://doi.org/10.1109/IJCNN64981.2025.11227677
  23. Zhanpeng Xu, Yu Lu*, Wei Zhang, Xiaoqing Li, Shijie Shi, Xianghua Fu*. Multi-Task Self-Supervised Learning for Automated Measurement of Left Ventricular Ejection Fraction in Echocardiography. Proceedings of the 2025 IEEE International Conference on Multimedia and Expo (ICME), Nantes, France, June 30 - July 4, 2025. https://doi.org/10.1109/ICME59968.2025.11210142
  24. Xiaoqing Li#, Pufan Cai#, Yu Lu*, Shijie Shi, Liangkun Ma, Xianghua Fu. CTGDiff: A Conditional Diffusion Model for Cardiotocography Signal Synthesis. Proceedings of the 2025 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Hyderabad, India, April 6-11, 2025. https://doi.org/10.1109/ICASSP49660.2025.10889762
  25. Xiaoqing Li, Yu Lu*, Kee Yuan Ngiam, Zichang Yu, Mohammad Shaheryar Furqan. FHRDiff: Leveraging diffusion models for conditional fetal heart rate signal generation. Proceedings of the 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2024: 2148-2155. https://doi.org/10.1109/BIBM62325.2024.10821853
  26. Yu Lu, Pufan Cai, Jingying Yu, Shijie Shi, Meng Li*, Huilin Ge**, Xianghua Fu. Compressed Sensing Signal Reconstruction for Real-Time Machine Vision Systems. Proceedings of the 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Sarawak, Malaysia, October 6-10, 2024. https://doi.org/10.1109/SMC54092.2024.10831568
  27. Weifang Xie, Cang Chen, Zhiqi Cai, Mengting Zhuang, Jingying Yu, Huilin Ge, Yu Lu*. YOLO-underwater: A Real-Time Object Detection Framework for Enhanced Underwater Robotics Operations. Proceedings of the 20th International Conference on Intelligent Computing (ICIC 2024), 51–61, Tianjin, China, August 5-8, 2024. https://doi.org/10.1007/978-981-97-5675-9_5
  28. Yu Lu, Pan Sun, Shijie Shi*, Meng Li**, Huilin Ge. Formal Verification of Path Planning Safety and Reachability in Unmanned Surface Vehicles. Proceedings of the 20th International Conference on Intelligent Computing (ICIC 2024), 15–26, Tianjin, China, August 5-8, 2024. https://doi.org/10.1007/978-981-97-5675-9_2
  29. Zichang Yu, Yating Hu, Yu Lu*, Leya Li, Huilin Ge, Xianghua Fu. CTGGAN: Reliable Fetal Heart Rate Signal Generation Using GANs. Proceedings of the 2024 International Joint Conference on Neural Networks (IJCNN), Yokohama, Japan, June 30-July 5, 2024. https://doi.org/10.1109/IJCNN60899.2024.10650729
  30. Zhenpeng Xu, Pan Sun, Yu Lu*, Huilin Ge, Meng Li, Yingjian Qi. Intuitive UAV Operation: A Novel Dataset and Benchmark for Multi-Distance Gesture Recognition. Proceedings of the 2024 International Joint Conference on Neural Networks (IJCNN), Yokohama, Japan, June 30-July 5, 2024. https://doi.org/10.1109/IJCNN60899.2024.10651436
  31. Ruijie Zhao, Yu Lu*, Leya Li, Huilin Ge, Xianghua Fu. AMRUNet: An Attention-Guided MultiResUNet for Continuous Noninvasive Blood Pressure Estimation. Proceedings of the 2024 International Joint Conference on Neural Networks (IJCNN), Yokohama, Japan, June 30-July 5, 2024. https://doi.org/10.1109/IJCNN60899.2024.10650277
  32. Leya Li, Yu Lu*. MSEU-Net: A Multi-Scale Deep Learning Framework for Precise FHR Baseline Determination. Proceedings of the 21st ACM International Conference on Computing Frontiers (ACM CF 2024), Ischia, Naples, Italy, May 7-9, 2024. https://doi.org/10.1145/3649153.3652996
  33. Yu Lu, Yating Hu, Leya Li, Zhanpeng Xu, Hongwei Liu, Huanwen Liang*, Xianghu Fu. CvTGNet: A Novel Framework for Chest X-Ray Multi-label Classification. Proceedings of the 21st ACM International Conference on Computing Frontiers (ACM CF 2024), Ischia, Naples, Italy, May 7-9, 2024. https://doi.org/10.1145/3649153.3649216
  34. Huanwen Liang, Leya Li, Yu Lu*, Qianying Liu, Huilin Ge, Xianghu Fu. LAGNet: Label Attention Graph Networks for Ocular Disease Classification using Fundus Images. Proceedings of the 2024 IEEE International Symposium on Biomedical Imaging (ISBI), Athens, Greece, May 27-30, 2024. https://doi.org/10.1109/ISBI56570.2024.10635340
  35. Leying Zhang, Xiaokang Deng, Yu Lu*. Segment Anything Model (SAM) for Medical Image Segmentation: A Preliminary Review. Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2023), Istanbul, Turkey, December 5-8, 2023. https://doi.org/10.1109/BIBM58861.2023.10386032
  36. Yu Lu*, Huanwen Liang, Zichang Yu, Xianghu Fu. MT-1DCG: A Novel Model for Multivariate Time Series Classification. Proceedings of the 19th International Conference on Intelligent Computing (ICIC 2023), 222–234, Zhengzhou, China, August 10-13, 2023. https://doi.org/10.1007/978-981-99-4742-3_18
  37. Cang Chen, Weifang Xie, Zhiqi Cai, Yu Lu*. Deep Learning for Cardiotocography Analysis: Challenges and Promising Advances. Proceedings of the 19th International Conference on Intelligent Computing (ICIC 2023), 354–366, Zhengzhou, China, August 10-13, 2023. https://doi.org/10.1007/978-981-99-4742-3_29
  38. Weifang Xie, Cang Chen, Yu Lu*. Detection of Atrial Fibrillation based on Feature Fusion using Attention-based BiLSTM. Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2023), Sydney, Australia, July 24-27, 2023. https://doi.org/10.1109/EMBC40787.2023.10340023
  39. Huanwen Liang, Yu Lu*, Qianying Liu, Xianghua Fu. Fully Automatic Classification of Cardiotocographic Signals with 1D-CNN and Bi-directional GRU. Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2022), 4590-4594, Glasgow, Scotland, United Kingdom, July 11-15, 2022. https://doi.org/10.1109/EMBC48229.2022.9871253
  40. Yu Lu*, Xi Zhang, Liwen Jing, Xianghua Fu. Data Enhancement and Deep Learning for Bone Age Assessment using The Standards of Skeletal Maturity of Hand and Wrist for Chinese. Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2021), 2605-2609, Guadalajara, Mexico, November 1-5, 2021. https://doi.org/10.1109/EMBC46164.2021.9630226
  41. Yu Lu*, Xianghua Fu, Xiaoqing Li, Yingjian Qi. Cardiac Chamber Segmentation Using Deep Learning on Magnetic Resonance Images from Patients Before and After Atrial Septal Occlusion Surgery. Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2020), 1211-1216, Montreal, QC, Canada, July 20-24, 2020. https://doi.org/10.1109/EMBC44109.2020.9175618
  42. Yu Lu, Xi Zhang, Xianghua Fu, Fangxiong Chen, Kelvin K.L. Wong*. Ensemble Machine Learning for Estimating Fetal Weight at Varying Gestational Age. Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI 2019), 9522-9527, Honolulu, Hawaii, USA, January 27 - February 1, 2019. https://doi.org/10.1609/aaai.v33i01.33019522

(before 2018.9)

  1. Hanlin Niu, Yu Lu, Al Savvaris*, Antonios Tsourdos. An energy-efficient path planning algorithm for unmanned surface vehicles. Ocean Engineering, 161:308-321, August 2018. https://doi.org/10.1016/j.oceaneng.2018.01.025
  2. Yu Lu*, Alice A. Miller, Ruth Hoffmann, Christopher W. Johnson. Towards the Automated Verification of Weibull Distributions for System Failure Rates. Joint 21st International Workshop on Formal Methods for Industrial Critical Systems and 16th International Workshop on Automated Verification of Critical Systems, FMICS-AVoCS 2016, Pisa, Italy, September 26-28, 2016. https://doi.org/10.1007/978-3-319-45943-1_6
  3. Zhaoguang Peng, Yu Lu*, Alice Miller, Tingdi Zhao, Chris Johnson. Formal Specification and Quantitative Analysis of a Constellation of Navigation Satellites. Quality and Reliability Engineering International, 32(2):345-361, March 2016. https://doi.org/10.1002/qre.1754
  4. Zhaoguang Peng, Yu Lu*, Alice Miller, Chris Johnson, Tingdi Zhao. Risk Assessment of Railway Transportation Systems using Timed Fault Trees. Quality and Reliability Engineering International, 32(1):181-194, February 2016. https://doi.org/10.1002/qre.1738
  5. Yu Lu, Zhaoguang Peng*, Alice Miller, Tingdi Zhao, Chris Johnson. How reliable is satellite navigation for aviation? Checking availability properties with probabilistic verification. Reliability Engineering & System Safety, 144:95-116, December 2015.https://doi.org/10.1016/j.ress.2015.07.020