Macao Polytechnic University

物聯網基礎 (INTERNET OF THINGS ESSENTIALS) 

計算機組成原理(COMPUTER ORGANIZATION)

電腦專業道德概論 (ETHICS AND PROFESSIONAL ISSUES IN COMPUTING)

Ph.D. in Mechanical Engineering  at Harbin Institute of Technology (Shenzhen) (2023)

M.S. in Engineering, Control Science and Engineering at Harbin Institute of Technology (Shenzhen) (2016)

B.E. in Measurement and Control Technology and Instrumentation at Northeastern University at Qinhuangdao (2014)

- Neural motion planning;

- Densely-populated pedestrian navigation;

- Point cloud autoencoder;

- Non-conservative autonomous driving;

- Reinforcement learning (MCTS, etc.);

- Human-robot cooperation

- Other deep learning applications;

I recruit MSc and Ph.D. students every year, and I particularly welcome MSc students who are interested in pursuing a doctoral degree after graduation. 

If you are prospective Ph.D. student and you are interested in my researches, please feel free to contact me directly by email with your CV attached.

Answers to frequently asked questions:

1. Q: Is a hardware background required?
A: Unless specifically indicated, my research does not require a mechanical or hardware background.

2. Q: What background knowledge is required?
A: I expect the student to have a basic understanding of deep learning (equivalent to CS231n), proficient in Python and C++ programming, and a solid foundation in mathematics. Familiarity with robotics, machine learning, and reinforcement learning is preferable.

To be continued.

1. Xu Y, Kang W, Sun W, Tong HH, Ke W, Lyu E*. Towards multi-view sputum smear quality classification. Biomedical Signal Processing and Control. 2025 Apr 1;102:107217.
2. Zhou T#, Lyu E#, Cen, G., Zha, Z., Qi, S., Wang, J., & Meng, M. Q. H. Towards high efficient long-horizon planning with expert-guided motion-encoding tree search[J]. IEEE Robotics and Automation Letters, 2024.
3. Zhang Z, Lyu E*, Min Z, Zhang A, Yu Y, Meng MQ. Robust Semi-Supervised Point Cloud Registration via Latent GMM-Based Correspondence. Remote Sensing. 2023 Sep 12;15(18):4493.
4. Lyu E, Liu T, Wang J, Song S, Meng MQ. Motion planning of manipulator by points-guided sampling network. IEEE Transactions on Automation Science and Engineering. 2022 Apr 29;20(2):821-31.
5. Lyu E, Zhang Z, Liu W, Wang J, Song S, Meng MQ. MO-Transformer: A Transformer-Based Multi-Object Point Cloud Reconstruction Network. In2 022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2022 Oct 23 (pp. 1024-1030). IEEE.
6. Lyu E, Yang X, Liu W, Wang J, Song S, Max QH. AN AUTONOMOUS EYE-IN-HAND ROBOTIC SYSTEM FOR PICKING OBJECTS IN A SUPERMARKET ENVIRONMENT WITH NON-HOLONOMIC CONSTRAINT. International Journal of Robotics and Automation. 2022 Jan 1;37(4).
7. Liu T#, Lyu E#, Wang J, Meng MQ. Unified Intention Inference and Learning for Human–Robot Cooperative Assembly. IEEE Transactions on Automation Science and Engineering. 2021 May 17;19(3):2256-66.
8. Zhou T#, Qi S#, Lyu E#, Cen G, Wang J, Meng MQ. Towards Minimally-Intrusive Navigation in Densely-Populated Pedestrian Flow. In 2021 IEEE International Conference on Robotics and Biomimetics (ROBIO) 2021 Dec 27 (pp. 334-339). IEEE. 
9. Lyu E, Zhang Z, Wang J, Song S, Meng MQ. Towards Components-of-Interest Feedback Control and State Estimation of Robotic Manipulator. In 2021 IEEE International Conference on Robotics and Biomimetics (ROBIO) 2021 Dec 27 (pp. 539-544). IEEE.
10. Lyu E, Lin Y, Liu W, Meng MQ. Vision based autonomous gap-flying-through using the micro unmanned aerial vehicle. In2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE) 2015 May 3 (pp. 744-749). IEEE.

Selected publications in reverse-chronological order

# represents co-first author, * represents corresponding author

Full publication list on Google Scholar: https://scholar.google.com.hk/citations?user=4biX3b8AAAAJ&hl=en&oi=ao and DBLP https://dblp.org/pid/164/3639.html