😊 About Me
I am currently pursuing my Ph.D. at the School of Computer Science, Peking University, under the guidance of Professors Wenpin Jiao and Zhi Jin in the Key Laboratory of High Confidence Software Technologies. Previously, I obtained my B.S. degree in Software Engineering from Southwest University. My research interests include Multi-Modal Learning, AI-Generated Content and Trustworthy Machine Learning.
📖 Educations
- 2023.09 - 2028.06 (now), Ph.D’s Degree, Peking University, Computer Science.
- 2019.09 - 2023.06, Bachelor‘s Degree, Southwest University, Software Engineering.
- 2016.09 - 2019.06, High School Student, Sichuan Chengdu Shishi High School.
🏆 Honors
- National Scholarship of P. R. China for Graduate Students (2025, Peking University, ￥30000, ~Top 2%)
- Merit Student Award (2025, Peking University)
- Outstanding Scientific Research Award (2024, Peking University)
- Outstanding Graduates of Colleges and Universities Award in Chongqing (2023, Chongqing Municipal Education Commission)
- Outstanding Graduates Award (2023, Southwest Univeristy)
- Xiaomi Grand Scholarship (2023, Southwest Univeristy, ￥20000)
- National Scholarship of P. R. China for Undergraduate Students (2022, Southwest University, ￥8000, ~Top 1%)
- Merit Student Award (2022, Southwest University)
- Academic Technology Award (2022, Southwest University)
- Innovation and Entrepreneurship Award (2022, Southwest University)
- Literary and Artistic Activities Award (2022, Southwest University)
- Advanced Individual Award for Innovation Capacity Enhancement (2022, Chongqing Municipal Education Commission)
- First Prize Scholarship (2021, Southwest University, ￥5000, ~Top 2%)
- Merit Student Award (2021, Southwest University)
- Academic Technology Award (2021, Southwest University)
- Innovation and Entrepreneurship Award (2021, Southwest University)
- Literary and Artistic Activities Award (2021, Southwest University)
- The Stars of Self-improvement of Chinese College Students (2021, The Communist Youth League of China, The Sole Recipient)
- Third Prize Scholarship (2020, Southwest Univeristy, ￥2000)
- Academic Technology Award (2020, Southwest University)
✍🏻 Reviewers
- Neural Information Processing Systems
- SIGKDD Conference on Knowledge Discovery and Data Mining
- Neural Information Processing Systems
- Annual Meeting of the Association for Computational Linguistics
- Association for the Advancement of Artificial Intelligence
- The IEEE/CVF Conference on Computer Vision and Pattern Recognition
- International Conference on Computer Vision
- International Conference on Learning Representations
- International Conference on Robotics & Automation
- International Conference on Acoustics, Speech, and Signal Processing
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Artificial Intelligence
- IEEE Transactions on Circuits and Systems for Video Technology
- IEEE Transactions on Neural Networks and Learning Systems
- IEEE Transactions on Fuzzy Systems
- Information Sciences
- International Journal of Intelligent Systems
- Neurocomputing
- Applied Intelligence
- ISA Transactions
- The Visual Computer
💻 Research Projects
- National Natural Science Foundation of China under Grant 62436006 (Participant)
- National Natural Science Foundation of China under Grant 62192730 (Participant)
- National Natural Science Foundation of China under Grant 62192731 (Participant)
- National Key Research and Development Program of China under Grant 2023YFC3502900 (Participant)
- Science and Technology Development Fund, Macau SAR, under Grant 0141/2023/RIA2 (Participant)
- Science and Technology Development Fund, Macau SAR, under Grant 0193/2023/RIA3 (Participant)
- Innovative Entrepreneurial Training Plan Program of College Students in Chongqing (Hoster)
📝 Publications
Evidential Prototype Learning for Semi-supervised Medical Image Segmentation
Yuanpeng He, Lijian Li, Tianxiang Zhan, Chi-Man Pun, Wenpin Jiao and Zhi Jin.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2025) V. 2, pp. 908-919.
Co-evidential fusion with information volume for semi-supervised medical image segmentation
Yuanpeng He, Lijian Li, Tianxiang Zhan, Chi-Man Pun, Wenpin Jiao and Zhi Jin.
Pattern Recognition 166 (2025): 111639.
Chung-ju Huang, Yuanpeng He, Xiao Han, Wenpin Jiao, Zhi Jin and Leye Wang.
IEEE Transactions on Mobile Computing (2025).
Time evidence fusion network: Multi-source view in long-term time series forecasting
Tianxiang Zhan, Yuanpeng He, Yong Deng, Zhen Li, Wenjie Du and Qingsong Wen.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2025).
Revisit Self-Debugging with Self-Generated Tests for Code Generation
Xiancai Chen, Zhengwei Tao, Kechi Zhang, Changzhi Zhou, Wanli Gu, Yuanpeng He, Mengdi Zhang, Xunliang Cai, Haiyan Zhao and Zhi Jin.
The 63rd Annual Meeting of the Association for Computational Linguistics (2025).
An Adaptive Framework for Multi-View Clustering Leveraging Conditional Entropy Optimization
Lijian Li, Yuanpeng He and Chi-Man Pun.
ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and Signal Processing (2025) pp. 1-5.
Towards Structure-aware Model for Multi-modal Knowledge Graph Completion
Linyu Li, Zhi Jin, Yichi Zhang, Dongming Jin, Chengfeng Dou, Yuanpeng He, Xuan Zhang and Haiyan Zhao.
IEEE Transactions on Multimedia (2025).
Multi-Prototype-based Embedding Refinement for Medical Image Segmentation
Yali Bi, Enyu Che, Yinan Chen, Yuanpeng He and Jingwei Qu.
ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and Signal Processing (2025) pp. 1-5.
Transfer Graph in the Context of Evidence Theory
Tianxiang Zhan, Qianli Zhou, Yuanpeng He and Yong Deng.
Computational and Applied Mathematics 44.7 (2025): 345.
Residual Feature-Reutilization Inception Network
Yuanpeng He, Wenjie Song, Lijian Li, Tianxiang Zhan and Wenpin Jiao.
Pattern Recognition 152 (2024): 110439.
Mutual Evidential Deep Learning for Semi-supervised Medical Image Segmentation
Yuanpeng He, Yali Bi, Lijian Li, Chi-Man Pun, Wenpin Jiao and Zhi Jin.
IEEE International Conference on Bioinformatics and Biomedicine (2024) (pp. 2010-2017).
Yuanpeng He Lijian Li, Tianxiang Zhan Wenpin Jiao and Chi-Man Pun.
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (2024) (pp. 3855-3859).
Lijian Li, Yuanpeng He and Chi-Man Pun.
IEEE International Conference on Bioinformatics and Biomedicine (2024) (pp. 2010-2017).
TDQMF: Two-Dimensional Quantum Mass Function
Yuanpeng He and Yong Deng.
Information Sciences 621 (2023): 749-765.
Differential convolutional fuzzy time series forecasting
Tianxiang Zhan, Yuanpeng He, Yong Deng and Zhen Li.
IEEE Transactions on Fuzzy Systems 32, no. 3 (2023): 831-845.
Tianchi Xu, Kai Yan, Yuanpeng He, Si Gao, Kai Yang, Jingrui Wang, Jinxiu Liu and Zhao Liu.
Remote Sensing 15.12 (2023): 2975.
A new base function in basic probability assignment for conflict management
Yuanpeng He and Fuyuan Xiao.
Applied Intelligence 52.4 (2022): 4473-4487.
MMGET: a Markov model for generalized evidence theory
Yuanpeng He and Fuyuan Xiao.
Computational and Applied Mathematics 41.1 (2022): 9.
Yuanpeng He and Yong Deng.
Iranian Journal of Fuzzy Systems 19.3 (2022): 171-186.
NNDF: A new neural detection network for aspect-category sentiment analysis
Lijian Li, Yuanpeng He and Li Li.
International Conference on Knowledge Science, Engineering and Management (2022) (pp. 339-355).
Yuanpeng He and Fuyuan Xiao.
International Journal of Intelligent Systems (2021), 36(5), pp.1914-1942.
A Matrix-based Distance of Pythagorean Fuzzy Set and its Application in Medical Diagnosis
Yuanpeng He, Lijian Li and Tianxiang Zhan.
arXiv (2021).
