About Me

I received the M.S. degree in Electronics and Communication Engineering from Guangzhou University, Guangzhou, China, in 2020. I am currently pursuing the Ph.D. degree at the School of Computer Science, Fudan University, Shanghai, China. My research interests include computer vision, machine learning, and pattern recognition.

• Wu Ran, Bohong Yang, Peirong Ma, Hong Lu. TRNR: Task-Driven Image Rain and Noise Removal With a Few Images Based on Patch Analysis[J]. IEEE Transactions on Image Processing (TIP), 2023. (CCF-A)
• Peirong Ma, Ran Wu, Hong Lu. Semantic-Related Feature Generation for Generalized Zero-Shot Learning[C]. 2022 IEEE International Conference on Multimedia and Expo (ICME), 2022. (CCF-B)
• Peirong Ma, Hong Lu, Bohong Yang, Wu Ran. GAN-MVAE: A discriminative latent feature generation framework for generalized zero-shot learning[J]. Pattern Recognition Letters (PRL), 2022. (CCF-C)
• Peirong Ma, Xiao Hu. A variational autoencoder with deep embedding model for generalized zero-shot learning[C]. AAAI Conference on Artificial Intelligence (AAAI), 2020. (CCF-A)
• Xiao Hu, Peirong Ma, Zhuohao Mai, Shaohu Peng, Zhao Yang, Li Wang. Face hallucination from low quality images using definition-scalable inference[J]. Pattern Recognition (PR), 2019. (CCF-B)