IEEE Member

 ippllewis@gmail.com

I received the M.S. degree from University of Southampton, Southampton, U.K., in 2020. Prior to that, I received my B.S. degree from China University of Mining and Technology, Xuzhou, China, in 2019. My mission is to build interesting and user-friendly AI features for everyone. My research interests include multilabel classification, multimedia affective computing, multimedia aesthetics quality assessment and representation learning. More recently, I focus on building trustworthy visual foundation models and MLLMs.

AesBench: An Expert Benchmark for Multimodal Large Language Models on Image Aesthetics Perception
Yipo Huang, Quan Yuan, Xiangfei Sheng, Zhichao Yang, Haoning Wu, Pengfei Chen, Yuzhe Yang, Leida Li and Weisi Lin
Arxiv preprint, Jan. 2024
arXiv   code

u-LLaVA: Unifying Multi-Modal Tasks via Large Language Model
Jinjin Xu, Liwu Xu, Yuzhe Yang, Xiang Li, Fanyi Wang, Yanchun Xie, Yi-Jie Huang, Yaqian Li
European Conference on Artificial Intelligence, 2024
arXiv   code

Theme-aware Visual Attribute Reasoning for Image Aesthetics Assessment
Leida Li, Yipo Huang, Jinjian Wu, Yuzhe Yang, Yaqian Li, Yandong Guo, Guangming Shi
IEEE Transactions on Circuits and Systems for Video Technology, Feb. 2023
paper   code

Self-distillation from the Last Mini-batch for Consistency Regularization
Yiqing Shen, Liwu Xu, Yuzhe Yang, Yaqian Li, Yandong Guo
IEEE/CVF Computer Vision and Pattern Recognition Conference, 2022
paper   code

Personalized Image Aesthetics Assessment with Rich Attributes
Yuzhe Yang, Liwu Xu, Leida Li, Nan Qie, Yaqian Li, Peng Zhang, Yandong Guo
IEEE/CVF Computer Vision and Pattern Recognition Conference, 2022
paper   homepage    

Explainable and Generalizable Blind Image Quality Assessment via Semantic Attribute Reasoning
Yipo Huang, Leida Li, Yuzhe Yang, Yaqian Li, Yandong Guo
IEEE Transactions on Multimedia, 2022
paper    

Blind Realistic Blur Assessment based on Discrepancy Learning
Leida Li, Yu Zhou, Ke Gu, Yuzhe Yang, Yuming Fang
IEEE Transactions on Circuits and Systems for Video Technology, Oct. 2019
paper