1. De-Shuang Huang,"Representation Learning in Graph Neural Networks,"The the 4th International Conference on Multimedia Technology and Enhanced Learning (ICMTEL 2022),Leicester, UK, April 15-16, 2022.
  2. De-Shuang Huang,"Graph Representation Learning,"The 2nd International Conference on Information Technology - InCITe 2022, March 3-4, 2022.
  3. De-Shuang Huang,"Deep Neural Networks for Motif Mining in Biological Sequences,"The 6th International Conference on Digital Signal Processing (ICDSP 2022), Chengdu, China, February 25-27, 2022.
  4. De-Shuang Huang,"Recent Progress for Deep Learning Mining in DNA/RNA Sequences,"The 15th International Symposium on Medical Information and Communication Technology (ISMICT), Xiamen, China, April 14-16, 2021.
  5. De-Shuang Huang, “Deep Neural Networks for Biological Binding Data Analysis,” The 11thInternational Conference on Brain Inspired Cognitive Systems 2020 (BICS’2020), Hefei, China, December 18-20, 2020.
  6. De-Shuang Huang, “Protein Contact Map Prediction Using Evolutionary Optimization Technique,” The 4thInternational Symposium on Autonomous Systems (2020 ISAS), Guangzhou, China, December 6-8, 2020.
  7. De-Shuang Huang, “Modeling and analysis of high-throughput transcription factors binding data,”The 2017 2nd Russian-Pacific Conference on Computer Technology and Applications (RPC 2017), September 25-29, 2017.
  8. De-Shuang Huang, “Supervised manifold learning based feature extraction methods and applications,”The 2015 Nanning Workshop on Intelligent Computing Frontier (WICF 2015), October 28-30, 2015, Nanning, Guangxi Zhuang Autonomous Region, China.
  9. De-Shuang Huang,“Collaborative prediction of epigenomic datasets,” the 2015 Shanghai Mini-Workshop on Computational Intelligence and Bioinformatics (WCIB 2015), October 26-27, 2015, Shanghai, China.
  10. De-Shuang Huang, “Manifold learning based feature extraction methods and applications,” The 2015 Human-Machine Interaction on Summer School, Bari, Italy, Sep 15-18, 2015.
  11. De-Shuang Huang,“Prediction, De-noising and Modeling of PPI Networks Based on Machine Learning Techniques,” The 2015 Human-Machine Interaction on Summer School, Bari, Italy, Sep 15-18, 2015.
  12. De-Shuang Huang,“Modeling PPI Networks Based on Machine Learning Techniques,” The 2015International Workshop and Summer School on "Biological Big Bytes", Nanning, China, Sep 6-11, 2015.
  13. De-Shuang Huang,“Modeling Biological Systems Based on Machine Learning Techniques,” The 2013  the Developments in e-Systems Engineering conference, Abu Dhabi, United Arab Emirates, Dec 16-18, 2013.
  14. De-Shuang Huang,“Protein PredictionBased Machine Learning Techniques,” The 2013  International Joint Conference on Neural Networks (IJCNN2013), Dallas, TX, USA, August 4-9, 2013 (Tutorial).
  15. De-Shuang Huang,“Protein Predictionby Intelligent Computing Techniques,” 2012 4th International Conference on Communication Software and Networks (ICCSN 2012), Zhengzhou, China, June 2-3, 2012.
  16. De-Shuang Huang,“Locally Linear Discriminant Embedding and Its Application on Gene Expression Data,” 2011 International Conference on Computer and Network Engineering, Zhengzhou, China, June 17-19, 2011.
  17. De-Shuang Huang,“Manifold Learning Based Feature Extraction Methods and Applications,” The 9th Mexican International Conference on Artificial Intelligence (MICAI 2010), Pachua, Hidalgo, Mexico, November 8-13, 2010.
  18. De-Shuang Huang,“Density-Based Clustering Using Level Set Method,” The Second International KES Symposium on Agent and Multi-Agent Systems-Technologies and Applications (KES-AMSTA), Incheon Korea, March 27-28, 2008.
  19. De-Shuang Huang, “Protein Contact Map Prediction Using Evolutionary Optimization Technique,” The Second International Conference on Bio-Inspired Computing: Theory and Applications (BIC-TA 2007), Zhenzhou, China, Sept. 15-18, 2007.