Self-Distillation from the Last Mini-Batch for Consistency Regularization. - Yiqing Shen 003; Liwu Xu; Yuzhe Yang 001; Yaqian Li; Yandong Guo (CVPR, 2022)

Personalized Image Aesthetics Assessment with Rich Attributes. - Yuzhe Yang 001; Liwu Xu; Leida Li; Nan Qie; Yaqian Li; Peng Zhang; Yandong Guo (CVPR, 2022)

Psychology Inspired Model for Hierarchical Image Aesthetic Attribute Prediction. - Leida Li; Jiachen Duan; Yuzhe Yang 001; Liwu Xu; Yaqian Li; Yandong Guo (ICME, 2022)

Transductive Aesthetic Preference Propagation for Personalized Image Aesthetics Assessment. - Yaohui Li; Yuzhe Yang 001; Huaxiong Li; Haoxing Chen; Liwu Xu; Leida Li; Yaqian Li; Yandong Guo (ACM Multimedia, 2022)

Online Distillation with Mixed Sample Augmentation. - Yiqing Shen 003; Liwu Xu; Yuzhe Yang 001; Yaqian Li; Yandong Guo (CoRR, 2022)

Mixed Sample Augmentation for Online Distillation. - Yiqing Shen 003; Liwu Xu; Yuzhe Yang 001; Yaqian Li; Yandong Guo (ICASSP, 2023)

AesCLIP: Multi-Attribute Contrastive Learning for Image Aesthetics Assessment. - Xiangfei Sheng; Leida Li; Pengfei Chen 003; Jinjian Wu; Weisheng Dong; Yuzhe Yang 001; Liwu Xu; Yaqian Li; Guangming Shi (ACM Multimedia, 2023)

Technical Quality-Assisted Image Aesthetics Quality Assessment. - Xiangfei Sheng; Leida Li; Pengfei Chen 003; Jinjian Wu; Liwu Xu; Yuzhe Yang 001; Yaqian Li (PRCV (11), 2023)

CLIP Brings Better Features to Visual Aesthetics Learners. - Liwu Xu; Jinjin Xu; Yuzhe Yang 001; Yijie Huang; Yanchun Xie; Yaqian Li (CoRR, 2023)

u-LLaVA: Unifying Multi-Modal Tasks via Large Language Model. - Jinjin Xu; Liwu Xu; Yuzhe Yang 001; Xiang Li; Yanchun Xie; Yi-Jie Huang; Yaqian Li (CoRR, 2023)

Anchor-based knowledge embedding for image aesthetics assessment. - Leida Li; Tianwu Zhi; Guangming Shi; Yuzhe Yang 001; Liwu Xu; Yaqian Li; Yandong Guo (Neurocomputing, 2023)

u-LLaVA: Unifying Multi-Modal Tasks via Large Language Model. - Jinjin Xu; Liwu Xu; Yuzhe Yang 001; Xiang Li; Fanyi Wang; Yanchun Xie; Yi-Jie Huang; Yaqian Li (ECAI, 2024)

Reproducibility Companion Paper: u-LLaVA: Unifying Multi-Modal Tasks via Large Language Model. - Jinjin Xu; Xilu Wang 001; Liwu Xu; Yuzhe Yang 001; Xiang Li; Fanyi Wang; Yanchun Xie; Yi-Jie Huang; Yaqian Li; Yunfan Hu (ICMR, 2025)

LOST: Low-rank and Sparse Pre-training for Large Language Models. - Jiaxi Li; Lu Yin 006; Li Shen 008; Jinjin Xu; Liwu Xu; Tianjin Huang; Wenwu Wang 001; Shiwei Liu 003; Xilu Wang 001 (CoRR, 2025)