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Dr. Haicheng Yi (易海成)

Associate Professor
School of Computer Science, Northwestern Polytechnical University

Email: yihaicheng(at)nwpu.edu.cn

We are recruiting a postdoctoral fellow with USTC or CAS, with an annual salary of ￥400,000-600,000 RMB, please send me your CV if you are interested.

Biography

Dr. Haicheng Yi is an Associate Professor at the School of Computer Science, Northwestern Polytechnical University, Xi'an China. He pursued his Ph.D. in Computer Science at the University of Chinese Academy of Sciences from 2017 to 2022. From 2021 to 2022, He is a visiting scholar at Nanyang Technological University (NTU) in Singapore.

From Big Data to Big Mind, his research focuses on building data-driven, advanced artificial intelligence frameworks for solving cutting-edge issues in biology, medicine and healthcare, where he has contributed more than 40 papers in journals and conferences like IEEE TNNLS, IEEE JBHI, TKDE, iScience, IEEE Trans. CBB, Brief. Bioinform., and IEEE BIBM. These papers have been cited 1400 times (Google Scholar). Some work was reported by the official website of the Chinese Academy of Sciences.

Research Interests

Geometric deep learning, Knowledge Graph, Generative AI, Multimodal Foundation Model, Drug Design and Discovery

Publications

#: Co-First Authorship, *: Corresponding Author

S. Chen, H.-C. Yi#*, et al. "Local-global Structure-aware Geometric Equivariant Graph Representation Learning for Predicting Protein-Ligand Binding Affinity", IEEE Transactions on Neural Networks and Learning Systems, 2025. Doi: 10.1109/TNNLS.2025.3547300

J. Zheng, H.-C. Yi#*, Z.H. You. "Equivariant 3D-conditional Diffusion Model for De novo Drug Generation", IEEE Journal of Biomedical and Health Informatics, 2024.

He, S., Yun, L., H.-C. Yi*. Accurate prediction of drug combination risk levels based on relational graph convolutional network and multi-head attention". Journal of Translational Medicine. 22, 572, 2024.

L.-X. Hou, H.-C. Yi#*, et al. "MathEagle: Accurate Prediction of Drug-Drug Interaction Events via Multi-head Attention and Heterogeneous Attribute Graph Learning", Computers in Biology and Medicine, vol. 177, 108642. 2024.

S. He, L. Yun, H.-C. Yi*, "Fusing graph transformer with multi-aggregate GCN for enhanced drug-disease associations prediction," BMC Bioinformatics, vol. 25, no. 1, pp. 1-18, 2024.

H.-C. Yi, Z.-H. You, D.-S. Huang, and C. K. Kwoh, "Graph representation learning in bioinformatics: trends, methods and applications," Briefings in Bioinformatics, vol 23, no. 1, bbab340, 2022. (🏆ESI Highly Cited Paper, Top Paper)

H.-C. Yi, Z.-H. You, D.-S. Huang, Z.-H. Guo, K. C. Chan, and Y. Li, "Learning Representations to Predict Intermolecular Interactions on Large-Scale Heterogeneous Molecular Association Network," iScience, vol. 23, no. 7, p. 101261, 2020. (Cell Press)

H.-C. Yi, Z.-H. You, Z.-H. Guo, D.-S. Huang, and K. C. Chan, "Learning representation of molecules in association network for predicting intermolecular associations," IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2020.

H.-C. Yi, Z.-H. You, L. Wang, X.-R. Su, X. Zhou, and T.-H. Jiang, "In silico drug repositioning using deep learning and comprehensive similarity measures," BMC Bioinformatics, vol. 22, no. 3, pp. 1-15, 2021.

H.-C. Yi, Z.-H. You, M.-N. Wang, Z.-H. Guo, Y.-B. Wang, and J.-R. Zhou, "RPI-SE: a stacking ensemble learning framework for ncRNA-protein interactions prediction using sequence information," BMC Bioinformatics, vol. 21, no. 1, pp. 1-10, 2020.

H.-C. Yi, et al., "Learning distributed representations of RNA and protein sequences and its application for predicting lncRNA-protein interactions," Computational and Structural Biotechnology Journal, vol. 18, pp. 20-26, 2020.

H.-C. Yi, et al., "ACP-DL: a deep learning long short-term memory model to predict anticancer peptides using high-efficiency feature representation," Molecular Therapy-Nucleic Acids, vol. 17, pp. 1-9, 2019.

H.-C. Yi, Z.-H. You, X.-R. Su, D.-S. Huang, and Z.-H. Guo, "A Unified Deep Biological Sequence Representation Learning with Pretrained Encoder-Decoder Model," in International Conference on Intelligent Computing, 2020, pp. 339-347: Springer, Cham.

H.-C. Yi, Z.-H. You, D.-S. Huang, X. Li, T.-H. Jiang, and L.-P. Li, "A deep learning framework for robust and accurate prediction of ncRNA-protein interactions using evolutionary information," Molecular Therapy-Nucleic Acids, vol. 11, pp. 337-344, 2018.
X. Su, Z. You, and H.-C. Yi, "Prediction of LncRNA-Disease Associations Based on Network Representation Learning," in 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2020, pp. 1805-1812: IEEE.

Academic Services

Editorship:
Interdisciplinary Sciences: Computational Life Sciences: Youth Editorial Board Member
Scientific Reports: Editorial Board Member
BMC Bioinformatics: Editorial Board Member (2022-2024)
Frontiers in Bioinformatics: Reveiw Editor
Conference Activities:
Program Committee, IEEE International Conference on Bioinformatics & Biomedicine (BIBM'22), Las Vegas, NV, USA, December 6-9, 2022
Program Committee, IEEE International Conference on Bioinformatics & Biomedicine (BIBM'23), Istanbul, Turkey, December 5-8, 2023
Program Committee, The 3rd Workshop on Graph Learning Benchmarks (GLB 2023), conjunction with the KDD 2023, Long Beach, CA, USA, August 7, 2023
Program Committee, IEEE International Conference on Bioinformatics & Biomedicine (BIBM'24), Lisbon, Portugal, December 3-6, 2024
Program Committee, IEEE International Conference on Bioinformatics & Biomedicine (BIBM'25), Wuhan, China, December 15-18, 2025
Program Committee, 21st International Conference on Intelligent Computing (ICIC 2025), Ningbo, China, July 26-29, 2025
Organizing Committee, 2025 4th IEEE International Symposium on Computer Applications and Information Technology (ISCAIT 2025)
Active Reviewer:

IEEE TNNLS, IEEE Transactions on Cybernetics, IEEE Transactions on Industrial Informatics, IEEE TKDE, IEEE/CAA Journal of Automatica Sinica, IEEE Transactions on Artificial Intelligence, IEEE Journal of Biomedical and Health Informatics, Information Fusion, IEEE Transactions on Circuits and Systems for Video Technology, Artificial Intelligence in Medicine, Expert Systems With Applications, WIREs Data Mining and Knowledge Discovery, Patterns, Journal of Pharmaceutical Analysis, ACM TKDD, Briefings in Bioinformatics, Engineering Applications of Artificial Intelligence, IEEE/ACM TCBB, JCIM, Computer Methods and Programs in Biomedicine, CIBM...
Keynote Speaker
The Application, Opportunities, and Challenges of AI in Drug Discovery”, 2025 4th IEEE International Symposium on Computer Applications and Information Technology (ISCAIT 2025)

Awards

"President's Outstanding Award of Chinese Academy of Sciences", Chinese Academy of Sciences, 2021. "For outstanding achievements in scientific research and technological innovation."

Dr. Haicheng Yi (易海成)

Associate Professor School of Computer Science, Northwestern Polytechnical University

We are recruiting a postdoctoral fellow with USTC or CAS, with an annual salary of ￥400,000-600,000 RMB, please send me your CV if you are interested.

#: Co-First Authorship, *: Corresponding Author

Editorship:

Conference Activities:

Active Reviewer:

Keynote Speaker

Associate Professor
School of Computer Science, Northwestern Polytechnical University