Yu Lu

Associate Professor, School of Artificial Intelligence, Shenzhen Technology University

Office: C1-1615

Labs: C1-902 (graduate students and postdoctoral researchers); C1-405 (undergraduate students)

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

Openings

I welcome inquiries throughout the year from prospective full-time associate research fellows, postdoctoral researchers, PhD students, master’s students, research assistants, undergraduate researchers, interns, and visiting students. Research opportunities focus on medical artificial intelligence, autonomous unmanned systems, and formal methods. Interested students and researchers are welcome to contact me by email.

Introduction

I am an Associate Professor and a supervisor of doctoral and master’s students. I have been recognized as a Category C overseas high-level talent under Shenzhen’s Peacock Plan and am a member of the Jiusan Society.

I have published over 100 research 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 more than 10 research projects, including a General Program project funded by the National Natural Science Foundation of China and a key-area research project for higher education institutions in Guangdong Province. I hold two granted invention patents, with six additional patent applications pending, and have completed one technology transfer. I serve as a reviewer for journals including IEEE TPAMI, TIP, TMM, TMI, JBHI, TDSC, TIFS, TII, TMECH, TGRS, TMC, and TETCI.

• Oct. 2026–Present: Adademic Visitor, University of Auckland, New Zealand
• Dec. 2022–Present: Associate Professor, Shenzhen Technology University, China
• Sept. 2018–Nov. 2022: Assistant Professor, Shenzhen Technology University, China
• Mar. 2017–Aug. 2018: Scientist, Shenzhen Jumper Medical Equipment Co., Ltd., China
• Oct. 2015–Mar. 2017: Research Fellow, Cranfield University, UK
• Oct. 2011–Sept. 2015: PhD in Computing Science, University of Glasgow, UK

News

• [10/2026] 1 paper accepted by IVCNZ 2026
• [10/2026] 1 paper accepted by Internet of Things
• [09/2026] 6 regular papers accepted by BIBM 2026 (three papers first-authored by master’s students)
• [08/2026] 1 paper accepted by Biomedical Signal Processing and Control
• [06/2026] 1 paper accepted by IROS 2026 (first-authored by an undergraduate student)
• [02/2026] 1 paper accepted by IEEE Journal of Biomedical and Health Informatics (first-authored by an undergraduate student)
• [02/2026] 1 paper accepted by IEEE Transactions on Aerospace and Electronic Systems
• [01/2026] 1 paper accepted by Expert Systems With Applications
• [01/2026] 1 paper accepted by ICASSP 2026 (first-authored by a master’s student)

Selected Publications

September 2018–Present

Journal Papers

1. High-Fidelity ECG Synthesis from Ballistocardiography Using an Adaptive Dual-Encoder Wavelet–Temporal Fusion Network
   Muhammad Tahir Rasheed, Yantao Zeng, Hufsa Khan, Mohammad Sultan Mahmud, Yu Lu, Yan Kang, Junsong Wang^*
   Biomedical Signal Processing and Control, Volume 128, December 2026, 111241. [paper]
2. Fog/Edge-Aware State Space Models for Multi-Task Chest X-ray Report Generation and Lesion Detection
   Wenbin Feng, Yu Lu^*, Xiaoqing Li, Kai Leung Yung, Wai Hung Ip
   IEEE Journal of Biomedical and Health Informatics, 30(9):7733-7746, September 2026. [paper]
3. Bridging Weibull Failure Models and CTMC Verification: Automated Phase-Type Encoding for Satellite Reliability Analysis in PRISM
   Kelvin K.L. Wong, Yu Lu^*, Wai Hung Ip, Wenjun Zhang, Zhili Sun
   IEEE Transactions on Aerospace and Electronic Systems, 62:6607-6623, 17 February 2026. [paper]
4. AquaSlot-SAM: Coupling slot-based State Space Models with SAM for robust underwater video multi-object segmentation
   Huilin Ge, Jie Zhu, Wenbin Feng, Jiali Ouyang, Ze Wang, Xiaoping Chen, Yu Lu^*
   Pattern Recognition, Volume 174, June 2026, 112964. [paper]
5. Safety-assured decision support for ASV navigation via hybrid graph planning and timed automata verification
   Huilin Ge, Meng Li, Guanghui Wen, Yu Lu^*
   Expert Systems With Applications, Volume 312, May 2026, 131367. [paper]
6. Acoustic-Emission–Driven Pipeline Leak Detection Using Wavelet Time–Frequency Maps and Inception-V3 Deep Network
   Siqiang Zheng^#, Yu Lu^#, Xuetong Xu, Kai Sun, Lanzhu Zhang^*, Zhiqin Qian^*
   Computers, Materials and Continua, 87(3):81, April 2026. [paper]
7. A Benchmark Dataset and Lightweight Model for Multi-Distance Gesture Recognition in UAV Control
   Yu Lu, Zhenpeng Xu, Meng Li^*, Xianghua Fu, Kai Leung Yung, Wai Hung Ip
   Applied Soft Computing, Volume 186, Part D, January 2026, 114222. [paper]
8. A New Dataset, Model, and Benchmark for Lightweight and Real-Time Underwater Object Detection
   Huilin Ge, Pan Sun, Yu Lu^*
   Neurocomputing, 651:130891, 28 October 2025. [paper]
9. MSL-Net: A Lightweight Self-Supervised Multi-Task Framework for IoMT-Enabled Medical Image Segmentation and Landmark Localization
   Yu Lu^*, Zhanpeng Xu, Kai Leung Yung, Wai Hung Ip
   Internet of Things, 33:101709, September 2025. [paper]
10. AI-driven paradigm shift in computerized cardiotocography analysis: A systematic review and promising directions
    Weifang Xie, Pufan Cai, Yating Hu, Yu Lu^*, Cang Chen, Zhiqi Cai, Xianghua Fu
    Neurocomputing, 607:128446, 28 November 2024. [paper]
11. Comparative study of neonatal brain injury fetuses using machine learning methods for perinatal data
    Qingjun Cao, Hongzan Sun, Hua Wang, Xueyan Liu, Yu Lu, Liang Huo^*
    Computer Methods and Programs in Biomedicine, 240:107701, October 2023. [paper]
12. A CNN-RNN unified framework for intrapartum cardiotocograph classification
    Huanwen Liang, Yu Lu^*
    Computer Methods and Programs in Biomedicine, 229:107300, February 2023. [paper]
13. Deep Learning-Based Automatic Segmentation of Images in Cardiac Radiography: A Promising Challenge
    Yucheng Song, Shengbing Ren, Yu Lu^*, Xianghua Fu, Kelvin K.L. Wong^**
    Computer Methods and Programs in Biomedicine, 220:106821, June 2022. [paper]
14. An improved AlexNet model for automated skeletal maturity assessment using hand X-ray images
    Ming He, Xudong Zhao, Yu Lu, Yi Hu^*
    Future Generation Computer Systems, 121:106-113, August 2021. [paper]
15. GBRAMP: A generalized backtracking regularized adaptive matching pursuit algorithm for signal reconstruction
    Mojisola Grace Asogbon, Yu Lu, Oluwarotimi Williams Samuel, Liwen Jing, Alice A. Miller, Guanglin Li, Kelvin K.L. Wong^*
    Computers and Electrical Engineering, 92:107189, June 2021. [paper]
16. Building the Internet of Things platform for smart maternal healthcare services with wearable devices and cloud computing
    Xiaoqing Li, Yu Lu^*, Xianghua Fu, Yingjian Qi
    Future Generation Computer Systems, 118:282-296, May 2021. [paper]
17. Comparative analysis of active contour and convolutional neural network in rapid left-ventricle volume quantification using echocardiographic imaging
    Xiliang Zhu, Yang Wei, Yu Lu, Ming Zhao^*, Ke Yang, Shiqian Wu, Zhang Hui, Kelvin K.L. Wong^**
    Computer Methods and Programs in Biomedicine, 199:105914, February 2021. [paper]
18. Estimation of the foetal heart rate baseline based on singular spectrum analysis and empirical mode decomposition
    Yu Lu, Xi Zhang, Liwen Jing, Xiaoqing Li, Xianghua Fu^*
    Future Generation Computer Systems, 112:126-135, November 2020. [paper]
19. A novel U-Net approach to segment the cardiac chamber in magnetic resonance images with ghost artifacts
    Ming Zhao, Yang Wei, Yu Lu, Kelvin K.L. Wong^*
    Computer Methods and Programs in Biomedicine, 196:105623, May 2020. [paper]
20. Automatic feature extraction in X-ray image based on deep learning approach for determination of bone age
    Xu Chen, Jianjun Li, Yanchao Zhang, Yu Lu, Shaoyu Liu^*
    Future Generation Computer Systems, 110:795-801, September 2020. [paper]
21. Prediction of fetal weight at varying gestational age in the absence of ultrasound examination using ensemble learning
    Yu Lu, Xianghua Fu, Fangxiong Chen, Kelvin K.L. Wong^*
    Artificial Intelligence in Medicine, 102:101748, January 2020. [paper]
22. A framework for intelligent analysis of digital cardiotocographic signals from IoMT-based foetal monitoring
    Yu Lu, Yingjian Qi, Xianghua Fu^*
    Future Generation Computer Systems, 101:1130-1141, December 2019. [paper]
23. Semi-supervised Aspect-level Sentiment Classification Model based on Variational Autoencoder
    Xianghua Fu, Yanzhi Wei, Fan Xu^*, Ting Wang, Yu Lu, Jianqiang Li, Joshua Zhexue Huang
    Knowledge-Based Systems, 171:81-92, May 2019. [paper]

Conference Papers

1. MorphoCrossFormer: Context-Aware Semi-Supervised Segmentation of Fetal Heart Rate Signals for Intrapartum Monitoring. BIBM 2026 Regular Paper.
   Qiong Zhu, Liangkun Ma, Yu Lu^*
2. Point-Prompt Weakly Supervised Fine-Grained Fetal Heart Rate Segmentation with Uterine Contraction Guidance. BIBM 2026 Regular Paper.
   Qiong Zhu, Shijie Shi, Liangkun Ma, Yu Lu^*
3. Anatomy-Guided Progressive Multi-Task Learning for Robust Angle-of-Progression Estimation in Intrapartum Ultrasound Videos. BIBM 2026 Regular Paper.
   Pufan Cai, Wei Zhang, Shijie Shi, Bingding Huang, Yu Lu^*
4. Frequency-Aware Conditional Diffusion for Non-Invasive Fetal ECG Extraction from Abdominal ECG. BIBM 2026 Regular Paper.
   Yu Lu^*, Yating Hu, Wei Zhang, Junsong Wang, Bingding Huang
5. Harmonizing Local Textures and Global Topology for Fundus Super-Resolution. BIBM 2026 Regular Paper.
   Wei Zhang^*, Zhenzhao Li, Liyilei Su, Xiujuan Zhao, Yu Lu, Bingding Huang
6. M2F-PAG: A Unified Framework with Multi-Modal Fusion and Graph Reasoning for Multi-Label Fundus Diagnosis. BIBM 2026 Regular Paper.
   Wei Zhang^*, Jinyang Zhou, Yu Lu, Guomei Tang, Liyilei Su, Bingding Huang
7. Object-Centric State-Guided SAM for Temporally Coherent Multi-Object Segmentation in Complex Underwater Environments. IROS 2026.
   Wenbin Feng, Yu Lu^*, Yuetong Lin, Meng Li, Qiang Li
8. A Conformal Selective Diagnosis Framework for Reliable Bearing Fault Identification Under Domain Shift. SMC 2026.
   Xi Yu^#, Haotong Luan^#, Keyi Chen^#, Anran Lu, Hongtao Zhang, Yu Lu^*, Jianwu Chen^*, Yuan Gao^*
9. Unsupervised Adaptive Path Optimization for Knowledge Graph Reasoning in Multimodal Medical Diagnosis. ICIC 2026. [paper]
   Xiaoqing Li, Wenbin Feng, Yu Lu^*, Judice Koh, Ellie Choi, Jianli Chen, Jinhong He, Kee Yuan Ngiam^*
10. Knowledge Graph-Enhanced Medical Large Language Models: Challenges, Methods, and Future Directions. ICIC 2026. [paper]
    Xiaoqing Li, Li Sun, Yu Lu^*, Kee Yuan Ngiam^*
11. Physiology-Aware Benchmarking of Deep Generative Models for Fetal ECG Synthesis. ICIC 2026. [paper]
    Yating Hu, Yu Lu^*, Wei Zhang, Shijie Shi, Junsong Wang
12. H-LIGO: A Hierarchical Lidar-Inertial-GNSS Odometry SLAM System for Robust Indoor-Outdoor Navigation. ICIC 2026. [paper]
    Jiawei Dong, Meng Li, Zhanjiang Yang, Yulu Zeng, Yu Lu^*
13. Efficiency-Accuracy Trade-offs of Spiking Residual Networks for Real-World Corridor Visual Decision. ICIC 2026. [paper]
    Jinming Huang, Meng Li^*, Jianfang Wu, Junsong Wang, Zhanjiang Yang, Jiawei Dong, Ju Li, Yu Lu
14. MCGA: Mixture of Codebooks Hyperspectral Reconstruction via Grayscale-Aware Attention. ICIC 2026. [paper]
    Zhanjiang Yang^#, Lijun Sun^#, Jiawei Dong, Xiaoxin An, Yang Liu, Yu Lu, Meng Li^*
15. Collaborative End-Edge-Cloud Framework for Multi-modal Dynamic 3D Reconstruction on Edge Devices. ICIC 2026 Poster Paper. [paper]
    Haikang Gao, Jiawei Dong, Yuan Zhao, Zhenyu Chen, Gaolei Yi, Yu Lu, Meng Li^*
16. Background-Aware Optimization for Reliable Camellia meiocarpa Fruit Detection in Complex Orchard Scenes. ICIC 2026. [paper]
    Weifang Xie, Yu Lu^*
17. LLM-Guided SAM for Left Ventricle Segmentation and Functional Analysis in Echocardiography. ICASSP 2026. [paper]
    Xiaokang Deng, Yu Lu^*, Wei Zhang, Xianghua Fu^*
18. Knowledge-Guided Dual-View Self-Supervised Learning for Robust FHR Signal Classification. BIBM 2025 Workshop Paper. [paper]
    Yiting Peng, Yu Lu^*, Shijie Shi, Junsong Wang
19. BiM-Diff: ECG Reconstruction from BCG with a Bidirectional Mamba-based Diffusion Model. BIBM 2025 Workshop Paper. [paper]
    Yantao Zeng, Muhammad Tahir Rasheed, Peng Chen, Hufsa Khan, Yu Lu, Junsong Wang^*
20. Enhancing Early Detection of Tractional Retinal Lesions in OCT via Self-Supervised Learning. BIBM 2025 Regular Paper. [paper]
    Wei Zhang^*, Yu Lu^*, Han Jiang^*, Xiujuan Zhao, Qianying Liu, Bingding Huang, Zhaoshun Zhang, Zhicheng Dong, Liyilei Su
21. MALSeg: A Hyperspectral Benchmark and Lightweight Model for Acne Lesion Segmentation. BIBM 2025 Short Paper. [paper]
    Yongfa Liu^#, Yu Lu^#, Yunhao Yang, Bin Zeng, Zexiang Guo, Yueling Lyu, Xinrui Wan, Xiao Song, Shurong Peng^*
22. Task-Adaptive Framework for Joint Medical Image Segmentation and Landmark Detection. BIBM 2025 Short Paper. [paper]
    Yu Lu, Wei Zhang^*
23. EFCWM-Mamba-YOLO: Real-Time Underwater Object Detection with Adaptive Feature Representation and Domain Adaptation. IROS 2025. [paper]
    Pan Sun, Yu Lu^*, Shijie Shi, Meng Li, Qiang Li, Huilin Ge
24. MambaXray-CTL: Multi-Stage Contrastive Training for Medical Report Generation with a Mamba-Based Multi-Modal Large Model. SMC 2025. [paper]
    Wenbin Feng, Yu Lu^*, Xiaoqing Li, Shijie Shi, Yingjian Qi
25. A Deep Learning Model for Surface Defect Detection in Thermoelectric Cooler Components. ICIC 2025. [paper]
    Wenbin Feng, Yu Lu^*, Shijie Shi^**, Meng Li, Huilin Ge
26. Attention-Enhanced Few-Shot Diagnosis of Pathological Myopia and MTM. ICIC 2025. [paper]
    Wei Zhang^*, Haonan Qin, Xiujuan Zhao, Yu Lu, Bingding Huang, Zhicheng Dong, Caifen Wang
27. MSEU-Net: Multi-Scale Segmentation and Baseline Estimation in Fetal Heart Rate Time Series. IJCNN 2025. [paper]
    Yu Lu, Qiong Zhu, Leya Li^*, Heng Zhao, Yiting Peng, Pufan Cai, Shijie Shi^**
28. An Image Hiding Scheme based on Bayesian Optimization Reinforcement Learning and Chaotic Encryption. IJCNN 2025. [paper]
    Lingzhi Zhou, Hongjing Chen, Ziqing You, Yuhuan Liao, Qing Liu, Demin Pang, Jiawen Yi, Yu Lu^*
29. Multi-Task Self-Supervised Learning for Automated Measurement of Left Ventricular Ejection Fraction in Echocardiography. ICME 2025. [paper]
    Zhanpeng Xu, Yu Lu^*, Wei Zhang, Xiaoqing Li, Shijie Shi, Xianghua Fu^*
30. CTGDiff: A Conditional Diffusion Model for Cardiotocography Signal Synthesis. ICASSP 2025. [paper]
    Xiaoqing Li^#, Pufan Cai^#, Yu Lu^*, Shijie Shi, Liangkun Ma, Xianghua Fu
31. FHRDiff: Leveraging diffusion models for conditional fetal heart rate signal generation. BIBM 2024 Regular Paper. [paper]
    Xiaoqing Li, Yu Lu^*, Kee Yuan Ngiam, Zichang Yu, Mohammad Shaheryar Furqan
32. Compressed Sensing Signal Reconstruction for Real-Time Machine Vision Systems. SMC 2024. [paper]
    Yu Lu, Pufan Cai, Jingying Yu, Shijie Shi, Meng Li^*, Huilin Ge^**, Xianghua Fu
33. YOLO-underwater: A Real-Time Object Detection Framework for Enhanced Underwater Robotics Operations. ICIC 2024. [paper]
    Weifang Xie, Cang Chen, Zhiqi Cai, Mengting Zhuang, Jingying Yu, Huilin Ge, Yu Lu^*
34. Formal Verification of Path Planning Safety and Reachability in Unmanned Surface Vehicles. ICIC 2024. [paper]
    Yu Lu, Pan Sun, Shijie Shi^*, Meng Li^**, Huilin Ge
35. CTGGAN: Reliable Fetal Heart Rate Signal Generation Using GANs. IJCNN 2024. [paper]
    Zichang Yu, Yating Hu, Yu Lu^*, Leya Li, Huilin Ge, Xianghua Fu
36. Intuitive UAV Operation: A Novel Dataset and Benchmark for Multi-Distance Gesture Recognition. IJCNN 2024. [paper]
    Zhenpeng Xu, Pan Sun, Yu Lu^*, Huilin Ge, Meng Li, Yingjian Qi
37. AMRUNet: An Attention-Guided MultiResUNet for Continuous Noninvasive Blood Pressure Estimation. IJCNN 2024. [paper]
    Ruijie Zhao, Yu Lu^*, Leya Li, Huilin Ge, Xianghua Fu
38. MSEU-Net: A Multi-Scale Deep Learning Framework for Precise FHR Baseline Determination. ACM CF 2024. [paper]
    Leya Li, Yu Lu^*
39. CvTGNet: A Novel Framework for Chest X-Ray Multi-label Classification. ACM CF 2024. [paper]
    Yu Lu, Yating Hu, Leya Li, Zhanpeng Xu, Hongwei Liu, Huanwen Liang^*, Xianghu Fu
40. LAGNet: Label Attention Graph Networks for Ocular Disease Classification using Fundus Images. ISBI 2024. [paper]
    Huanwen Liang, Leya Li, Yu Lu^*, Qianying Liu, Huilin Ge, Xianghu Fu
41. Segment Anything Model (SAM) for Medical Image Segmentation: A Preliminary Review. BIBM 2023 Workshop Paper. [paper]
    Leying Zhang, Xiaokang Deng, Yu Lu^*
42. MT-1DCG: A Novel Model for Multivariate Time Series Classification. ICIC 2023. [paper]
    Yu Lu^*, Huanwen Liang, Zichang Yu, Xianghu Fu
43. Deep Learning for Cardiotocography Analysis: Challenges and Promising Advances. ICIC 2023. [paper]
    Cang Chen, Weifang Xie, Zhiqi Cai, Yu Lu^*
44. Detection of Atrial Fibrillation based on Feature Fusion using Attention-based BiLSTM. EMBC 2023. [paper]
    Weifang Xie, Cang Chen, Yu Lu^*
45. Fully Automatic Classification of Cardiotocographic Signals with 1D-CNN and Bi-directional GRU. EMBC 2022. [paper]
    Huanwen Liang, Yu Lu^*, Qianying Liu, Xianghua Fu
46. Data Enhancement and Deep Learning for Bone Age Assessment using The Standards of Skeletal Maturity of Hand and Wrist for Chinese. EMBC 2021. [paper]
    Yu Lu^*, Xi Zhang, Liwen Jing, Xianghua Fu
47. Cardiac Chamber Segmentation Using Deep Learning on Magnetic Resonance Images from Patients Before and After Atrial Septal Occlusion Surgery. EMBC 2020. [paper]
    Yu Lu^*, Xianghua Fu, Xiaoqing Li, Yingjian Qi
48. Ensemble Machine Learning for Estimating Fetal Weight at Varying Gestational Age. AAAI 2019. [paper]
    Yu Lu, Xi Zhang, Xianghua Fu, Fangxiong Chen, Kelvin K.L. Wong^*

Before September 2018

1. An energy-efficient path planning algorithm for unmanned surface vehicles
   Hanlin Niu, Yu Lu, Al Savvaris^*, Antonios Tsourdos
   Ocean Engineering, 161:308-321, August 2018. [paper]
2. Towards the Automated Verification of Weibull Distributions for System Failure Rates. FMICS-AVoCS 2016. [paper]
   Yu Lu^*, Alice A. Miller, Ruth Hoffmann, Christopher W. Johnson
3. Formal Specification and Quantitative Analysis of a Constellation of Navigation Satellites
   Zhaoguang Peng, Yu Lu^*, Alice Miller, Tingdi Zhao, Chris Johnson
   Quality and Reliability Engineering International, 32(2):345-361, March 2016. [paper]
4. Risk Assessment of Railway Transportation Systems using Timed Fault Trees
   Zhaoguang Peng, Yu Lu^*, Alice Miller, Chris Johnson, Tingdi Zhao
   Quality and Reliability Engineering International, 32(1):181-194, February 2016. [paper]
5. How reliable is satellite navigation for aviation? Checking availability properties with probabilistic verification
   Yu Lu, Zhaoguang Peng^*, Alice Miller, Tingdi Zhao, Chris Johnson
   Reliability Engineering & System Safety, 144:95-116, December 2015. [paper]