Li Da Gang
Associate Professor
Department: School of Computer Science and Engineering
Tel.: 8897 3025
Office: A302
E-mail: dgli@must.edu.mo

Academic Qualification

Ph.D. in Katholieke Universiteit Leuven, Belgium

M.S. in Katholieke Universiteit Leuven, Belgium

M.E. in Nanjing University of Posts and Telecommunications

B.E. in Huazhong University of Science and Technology

 

Teaching Area

Computer Networks

Data Mining

Natural Language Processing

 

Research Area

Reinforcement Learning

Graph Neural Networks

Time-Series Analysis

LLM based Agents

Autonomous Driving

Computer and Communication Networks

 

Working Experience

Sep 2020 – present, Asst Professor, School of CSE, MUST

Nov 2010 – Jul 2020 Lecturer / Asst Professor, School of ECE, Peking University

Apr 2010 – Oct 2010 Post-Doc Researcher, KULeuven, Belgium

Oct 2001 – Jul 2003, Research Assistant, Imec, Belgium

 

Academic Publication (within 5 years, selected)

1.          W. Yang, S. Dong, D. Li*, The Research of 3D Point Cloud Data Clustering Based on MEMS LiDAR for Autonomous Driving, International Journal of Automotive Technology, Accepted.

2.          Z. Lin, Z. Huang, S. Yang, C. Wu, S. Fang, Z. Liu, M. Yang, Z. Xie, D. Li*, Y. Zou*, Survey on Task-Centric Robot Battery Management: A Neural Network Framework, Journal of Power Sources, Vol. 610, 234674, Aug 2024.

3.          W. Yang, D. Li*, W. Xu, Z. Zhang, A LiDAR-Based Parking Slots Detection System, International Journal of Automotive Technology, Vol. 25, pp. 331-338, Feb 2024.

4.          Z. Guo, Y. Xu*, D. Li, Y. Wang, K-C Chow, R. Liu, Q. Yang, Martian Dust Devil Detection Based on Improved Faster R-CNN, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol.17, pp. 7725-7737, Feb 2024.

5.          X. Cai, D. Li*, M-EDEM: A MNN-based Empirical Decomposition Ensemble Method for Improved Time Series Forecasting, Knowledge-Based Systems, Vol. 283, 111157, Jan 2024.

6.          Z. Lin, D. Li*, Y. Zou, Energy efficiency of lithium-ion batteries: Influential factors and long-term degradation, Journal of Energy Storage, Vol.74, Part B, 109386, Dec 2023.

7.          Y. Zou, Z. Lin, D. Li, Z. Liu, Advancements in Artificial Neural Networks for Health Management of Energy Storage Lithium-Ion Batteries: A Comprehensive Review, Journal of Energy Storage, Vol. 73, Part C, 109069, Dec 2023.

8.          Z. Huang, D. Li*, J. Cai, H. Lu, Collective Reinforcement Learning based Resource Allocation for Digital Twin Service in 6G Networks, Journal of Network and Computer Applications, 217C(2023) 103697, Aug 2023.

9.          Z. Huang, W. Zhong, D. Li*, H. Lu, Delay constrained SFC Orchestration for edge intelligence-enabled IIoTs: A DRL approach, Journal of Network and Systems Management, 31, 53 (2023), June 2023.

10.      Z. Huang, D. Li*, C. Wu, H. Lu. Reinforcement Learning-Based Delay-Aware Path Exploration of Parallelized Service Function Chains. Mathematics 2022, 10(24), 4698, Dec 2022.

11.      Y. Shen, Y. Zhang, K. Yuan, D. Li, H. Zheng, A Knowledge-Enhanced Multi-View Framework for Drug-Target Interaction Prediction. IEEE Transaction on Big Data. Vol. 8, No.5, pp. 1387-1398, Oct 2022

12.      Y. Shen, H. Li, D. Li*, J. Zheng, W. Wang, ANGraph: Attribute-Interactive Neighborhood-Aggregative Graph Representation Learning, Neural Computing & Applications, June 2022.

13.      X. Yu, D. Li*, Important Trading Point Prediction Using a Hybrid Convolutional Recurrent Neural Network, Applied Sciences, 2021, 11, 3984, 2021.

14.      W. Li, T. Yang, O. Rottenstreich, X. Li, G. Xie, H. Li, B. Vamanan, D. Li, H. Lin, Tuple Space Assisted Packet Classification with High Performances on Both Search and Update, IEEE JSAC, Vol. 38, No. 7, pp.1555-1569, 2020.

 

Granted Patents

China Pattent: A system and method for online separation and restoration of electronic documents (ZL201210154777.4).

China Pattent: A safety management system and method for electronic documents centralized storage and external usage (ZL201210257292.8).

China Pattent: A storage and access method for file information of separation storage system (ZL201410437750.5).

China Pattent: An file update method for networked information separation storage (ZL201410817775.8).

China Pattent: A information separation based safe data transmission system and method (ZL201510192667.0).

China Pattent: A method for networked separation storage system and file separation storage (ZL201510623068.X).

China Pattent: A file system partition conseal system and method that supports separation storage management (ZL201510624898.4).

China Pattent: A safe and reliable method for distributed cloud storage (ZL201510753361.8).

China Pattent: A method and system to imporve TCP respond speed in data centers (ZL201610225780.9).

China Pattent: A method for remote zero-copy transmission (ZL201611003952.4).

China Pattent: A method, system and medium for safe data distribution and repair in a multi-cloud storage environment (ZL201711164901.4).

China Pattent: A blockchain-based method and system for safe file sharing in cloud storage (ZL201810018768.X).

 

Professional Certification and Awards

Shenzhen Oversea High-level Talent "Peacock Plan", 2015.

 

Student Awards

Third Prize, The 2022 Shenzhen Dream Catcher Cup University Students Innovation and Entrepreneurship Contest, 2022.

Bronze Prize, The 8th China International College Students' 'Internet+' Innovation and Entrepreneurship Competition, 2023.

First Prize, The 7th "Maker Guangdong" Next-Generation Information Technology Innovation and Entrepreneurship Contest Maker Track, 2023.

Second runner-up, 2023 Macao Youth Innovation and Entrepreneurship Competition Grand Final, 2023.

 

Professional Society Membership

Member, Institute of Electrical and Electronics Engineers (IEEE).

Member, Assiciation for Computing Machinery (ACM).

Member, China Computer Federation (CCF).