Li Da Gang
Associate Professor
Department: School of Computer Science and Engineering
Tel.: 8897-3025
Office: A207
E-mail: dgli@must.edu.mo

Academic Qualification

PhD. in Katholieke Universiteit Leuven, Belgium

MS. in Katholieke Universiteit Leuven, Belgium

MSE. in Nanjing University of Posts and Telecommunications

BE. in Huazhong University of Science and Technology

 

Teaching Area

 

Research Area

 

Working Experience

 

Academic Publication (recent, selected)

  1. Y. Xu, X. Mu, D. Li*, K. Liu, SRM-CSR: Unsupervised Aspect Category Detection Based on Semantic-Aware Relevance Modeling and Contextual Sentence Representation, Scientific Reports, AFP

  2. Z. Lin, H. Ouyang, Y. Zou, Z. Liu, D. Li*, Long-term Prediction for EV Battery Aging Trend: A Deep Learning Approach, IEEE Transactions on Transportation Electrification, AFP

  3. Y. Zou, Z. Xu, Q. Zhang, Z. Lin, T. Wang, Z. Liu, D. Li*, Few-Shot Learning with Manifold-Enhanced LLM for Handling Anomalous Perception Inputs in Autonomous Driving, IEEE Transactions on Intelligent Transportation Systems, AFP

  4. Y. Zou, Z. Xu, T. Wang, G. Xiong, Z. Lin, D. Li*, Generative AI-Driven Dynamic Information Prioritization for Enhanced Autonomous Driving, IEEE Transactions on Intelligent Transportation Systems, AFP

  5. W. Zhong, D. Li*, Y. Zou*, J. Guan, W. Wang*, Transformer-Driven Multi-Center Manifold Modeling Deep SVDD for Anomaly Detection in IIoT Networks, IEEE Internet of Things Journal, Vol. 13, No. 10, pp. 20071-20084, May 2026

  6. H. Li, D. Li*, J. Zhang, Y. Zheng, C. Bai, 3D-MolGL: A Multimodal Framework for Integrating 3D Molecular Graphs into Language Models, Expert Systems With Applications, Vol. 312, 131437, May 2026

  7. Z. Huang, W. Dai, Y. Zou, D. Li*, J. Cai, T.R. Gadekallu, W. Wang, Cooperative Traffic Scheduling in Transportation Network: a Knowledge Transfer Method, IEEE Transactions on Intelligent Transportation Systems, Vol. 27, No. 2, Feb 2026

  8. W. Zhong, X. Mu, J. Zhang, D. Li*, AAGR: Graph-level Anomaly Detection with Anomaly-aware Graph Readout, Expert Systems With Applications, Vol. 293, 128672, Dec 2025

  9. X. Feng, T. Huang, P. Wang, Z. Huang, H. Zhang, Y. Zou, D. Li*, K. Zou*, A Unified Framework for Industrial Cel-Animation Colorization with Temporal-Structural Awareness, ICCV 2025

  10. H. Li, X. Mu, D. Li, Blossom: Boosting sparse attribute learning with optimized vector quantization for graph representation learning. Applied Intelligence 55(1059) Oct. 2025

  11. P. Wang, S. Li, R. Zhou, Q. Chen, X. Xu, H. Fei, D. Li, W. Che, L. Qin, Improving Consistency Identification in Task-oriented Dialogue through Multi-Agent Collaboration, IJCAI 2025

  12. Z. Lin, D. Li*, Z. Liu, Y. Zou, Long-term Energy Efficiency Prediction for Lithium-ion Batteries Through Multi-feature Fusion and Deep Learning, Journal of Energy Storage, Vol. 132, Part A, 117622, July 2025

  13. X. Cai, D. Li, Y. Zou, Z. Liu*, A. A. Heidari, H. Chen*, Enhanced wind speed forecasting using an IAO-MNN-TCN hybrid model with optimized decomposition and prediction strategies, Energy, 324, 135673, June 2025

  14. X. Cai, D. Li*, J. Zhang, Z. Wu, MA-EMD: Aligned empirical decomposition for multivariate time-series forecasting, Expert Systems with Applications, Vol. 267, 126080, Apr 2025

  15. P. Wang, D. Li, X. Hu, Y. Wang, Y. Zhang, CLIPMulti: Explore the performance of multimodal enhanced CLIP for zero-shot text classification, Computer Speech & Language, Vol. 90, 101748, Mar 2025

  16. W. Yang, Y. Bu, D. Li*, W. Xu, MCSGCalib: Multi-Constraint-based Extrinsic Calibration of Solid-State LiDAR and GNSS/INS for Autonomous Vehicles, IEEE Transactions on Intelligent Transportation Systems, Vol.25, No.11, pp.18791-18804, Nov 2024

  17. 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.

  18. 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.

  19. 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.

  20. 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.

  21. 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.

  22. 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.

 

Granted Patents

 

Professional Certification and Awards

 

Student Awards

 

Professional Society Membership