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

1 citations · 1 across the 5 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.CV2023★ 1 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…

cs.AI2023

DCQA: Document-Level Chart Question Answering towards Complex Reasoning and Common-Sense Understanding

Anran Wu, Luwei Xiao, Xingjiao Wu +6

Visually-situated languages such as charts and plots are omnipresent in real-world documents. These graphical depictions are human-readable and are often analyzed in visually-rich…