Li Da gang

Assistant Professor Li, Dagang

School of Computer Science and Engineering, Faculty of Innovation Engineering

Macau University of Science and Technology


Office: A302

Tel.: +853-8897 3025


Academic Qualification:
  • Ph.D. in Electrical Engineering, Katholieke Universiteit Leuven, Belgium, 2010.
  • M.S. in Electrical Engineering, Katholieke Universiteit Leuven, Belgium, 2004.
  • M.E. in Computer Application Technology, Nanjing University of Posts and Telecommunications, China, 2001
  • B.E. in Telecommunication Engineering, Huazhong University of Science and Technology, China, 1998.
Teaching Area
  • Data Mining
  • Natural Language Processing
  • Computer Networks
Research Area
  • Machine Learning
  • Natural Language Processing
  • Next Generation Networks
Working Experience
  • 09/2020 - Present Assistant Professor, IINGI/SCSE, Macau University of Science and Technology, Macau.
  • 11/2010 - 07/2020 Lecturer/Assistant Professor, School of ECE, Peking University, China.
  • 04/2010 - 10/2010 Post-Doc Researcher, Esat, KULeuven, Belgium.
  • 10/2001 – 07/2003 Research Assistant, Imec, Belgium.

Academic Publication (Selected)

  1. Ying Shen, Huizhi Li, Dagang Li*, Jingwei Zheng, Wenmin Wang, “ANGraph: Attribute-Interactive Neighborhood-Aggregative Graph Representation Learning”, Neural Computing & Applications, 2022. 10.1007/s00521-022-07426-8
  2. Ying Shen, Dagang Li, Nan Du, “Modeling Path information for Knowledge Graph Completion”, Neural Computing & Applications, Vol. 34, pp.1951-1961, 2022.
  3. Xinpeng Yu, Dagang Li*, Ying Shen, “Forecasting Stock Index Using A Volume-Aware Positional Attention-Based Recurrent Neural Network” IJSEKE, Vol.31, No.11n12,pp.1783-1801, 2021
  4. Xinpeng Yu, Dagang Li*, “Important Trading Point Prediction Using a Hybrid Convolutional Recurrent Neural Network”, Applied Sciences, 2021, 11, 3984,, MDPI, 2021
  5. Yang Deng, Dagang Li, Qiang Zhang, and Ying Shen, “Medical Big Data Mining: Joint Symptom Name Recognition and Severity Estimation”, IEEE BIBM 2020, 2020
  6. Shengke Li, Dagang Li*, “NVMFS-iozone: Performance Evaluation for the New NVMM-based File Systems”, ACM SYSTOR 2020, Haifa, Israel, 2020
  7. Ying Chen, Jingwei Zheng, Dagang Li*, “Sparse Attributed Network Embedding via Adaptively Aggregating Neighborhood Information”, IJCNN 2020, Glasgow, UK, 2020
  8. Yue Fu, Man Ho Au, Rong Du, Haibo Hu, Dagang Li*, “Cloud Password Shield: A Secure Cloud-based Firewall against DDoS on Authentication Servers”, IEEE ICDCS 2020, Singapore, 2020
  9. Wenjun Li, Tong Yang, Ori Rottenstreich, Xiangfeng Li, Gaogang Xie, Hui Li, Balajee Vamanan, Dagang Li, Huiping Lin, “Tuple Space Assisted Packet Classification with High Performances on Both Search and Update”, IEEE JSAC, Vol. 38, No. 7, pp.1555-1569, 2020
  10. Wenjun Li, Dagang Li*, Xinwei Liu, et al., “A Power-saving Pre-classifier for TCAM-based IP Lookup”, Computer Networks, Vol. 164, 106898, Elsevier, 2019
  11. Chenglong Li, Tao Li, Junnan Li, Dagang Li, Hui Yang, Baosheng Wang, “Memory Optimization for Bit-Vector-based Packet Classification on FPGA”, Electronics, Vol.8, No.10, MDPI, 2019
  12. Wenjun Li, Dagang Li, Yongjie Bai, Wenxia Le, Hui Li, “A Memory-efficient Recursive Scheme for Multi-field Packet Classification”, IET Communications, Vol.13, No.9,pp.1319-1325, 2019
  13. Jingwei Zheng, Dagang Li*, “GCN-TC: Combining Trace Graph with Statistical features for Network Traffic Classification”, IEEE ICC 2019, Shanghai, China, 2019
  14. Dagang Li, Rong Du, Ziheng Liu, Tong Yang, Bin Cui, “Multi-copy Cuckoo Hashing”, IEEE ICDE 2019, Macau, China, pp.1226-1237, 2019
  15. Dagang Li, Rong Du, Yue Fu, Man Ho Au, “Meta-Key: A Secure Data-Sharing Protocol under Blockchain-based Decentralized Storage Architecture”, IEEE Networking Letters, Vol.1, No.1, pp.30-33, 2019
  16. Tong Yang, Alex X. Liu, Yulong Shen, Qiaobin Fu, Dagang Li, Xiaoming Li, “Fast OpenFlow Table Lookup with Fast Update”, IEEE INFOCOM 2018, pp.2636-2644, Honolulu, HI, U.S., pp.2636-2644, 2018