Shanghai AI Lab, China
Profile
Google scholar
🌟 Summary
Haoran Jiang is a dedicated researcher in Operations Research and Cybernetics, specializing in weakly supervised and representation learning. With a solid academic foundation and hands-on experience in various advanced research projects, he has published multiple papers in renowned conferences and journals. His commitment to personal growth and community service reflects his leadership skills and passion for knowledge.
🎓 Education
University of Chinese Academy of Sciences (UCAS): M.S. in Operations Research and Cybernetics (Sept. 2021 – Jun. 2024), GPA: 3.82/4, focusing on Weakly Supervised Learning and Representation Learning, with coursework in Pattern Recognition, NLP, and Optimization.
Hunan University (HNU): B.S. in Statistics (Sept. 2017 – Jun. 2021), GPA: 3.85/4 (Rank: 1/29), with coursework in Mathematical Analysis, Probability Theory, and Data Mining.
💼 Professional Experience
As a researcher, Haoran has worked on projects such as Interpretable Semantic Disambiguation (Jun. 2023 – Present), where he developed mechanisms for attribute-based feature extraction. He also contributed to Contrastive Learning for Complementary Label Learning (Aug. 2022 – Mar. 2023), proposing an approach that improved state-of-the-art methods by up to 14.61%. In the Image Tampering Detection project (Aug. 2022 – Oct. 2022), he designed a module for semantic suppression, enhancing detection accuracy. Notably, he established a new X-ray dataset for COVID-19 detection, achieving 72.5% accuracy using zero-shot learning.
🔍 Research Interests
Haoran’s research interests include weakly supervised learning, representation learning, contrastive learning, and image recognition and analysis, alongside optimization techniques.
🏆 Honors & Awards
He has received numerous accolades, including the National Scholarship (Top 1%) and Outstanding Graduate from Hunan Province, as well as multiple prizes in mathematics and translation competitions.
🤝 Community Engagement
Haoran actively engages with the community as a Deputy Grade Leader at HNU, organizing educational events, and as a commissioner for party branch activities at UCAS. He volunteers for various initiatives and is a proud member of the university basketball team.
Notable Publications
Safl-net: Semantic-agnostic feature learning network with auxiliary plugins for image manipulation detection
Authors: Z. Sun, H. Jiang, D. Wang, X. Li, J. Cao
Journal: Proceedings of the IEEE/CVF International Conference on Computer Vision
Year: 2023
Image recognition and empirical application of desert plant species based on convolutional neural network
Authors: J. Li, S. Sun, H. Jiang, Y. Tian, X. Xu
Journal: Journal of Arid Land
Year: 2022
ComCo: Complementary supervised contrastive learning for complementary label learning
Authors: H. Jiang, Z. Sun, Y. Tian
Journal: Neural Networks
Year: 2024
Navigating Real-World Partial Label Learning: Unveiling Fine-Grained Images with Attributes
Authors: H. Jiang, Z. Sun, Y. Tian
Journal: AAAI (Oral)
Year: 2024