activity
20232025
most citedUMAAF: Unveiling Aesthetics via Multifarious Attributes of Images

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

cs.HC2025

Large Language Models have Chain-of-Affect

Junjie Xu, Xingjiao Wu, Luwei Xiao +11

As large language models (LLMs) move into persistent, user-facing roles, their behavior must be understood not as isolated responses but as a trajectory unfolding over sustained in…

cs.CV2025

Aesthetic Matters in Music Perception for Image Stylization: A Emotion-driven Music-to-Visual Manipulation

Junjie Xu, Xingjiao Wu, Tanren Yao +4

Emotional information is essential for enhancing human-computer interaction and deepening image understanding. However, while deep learning has advanced image recognition, the intu…

cs.LG2024

Multi-Type Preference Learning: Empowering Preference-Based Reinforcement Learning with Equal Preferences

Ziang Liu, Junjie Xu, Xingjiao Wu +2

Preference-Based reinforcement learning (PBRL) learns directly from the preferences of human teachers regarding agent behaviors without needing meticulously designed reward functio…

cs.CV2024

Moyun: A Diffusion-Based Model for Style-Specific Chinese Calligraphy Generation

Kaiyuan Liu, Jiahao Mei, Hengyu Zhang +3

Although Chinese calligraphy generation has achieved style transfer, generating calligraphy by specifying the calligrapher, font, and character style remains challenging. To addres…

cs.CV20231 cited

UMAAF: Unveiling Aesthetics via Multifarious Attributes of Images

Weijie Li, Yitian Wan, Xingjiao Wu +3

With the increasing prevalence of smartphones and websites, Image Aesthetic Assessment (IAA) has become increasingly crucial. While the significance of attributes in IAA is widely…