Jiang Xie — accepted AI-conference papers

2026

When Attributes Disagree: Gradient Conflict in Image Aesthetic Assessment

Ye Wang, Maocai Dai, Jiang Xie, Xiuli Bi, Fei Tao, Xiao Li +1

ICML 2026spotlight

Image Aesthetic Assessment (IAA) predicts an image’s overall aesthetic score, yet aesthetic is influenced by multiple attributes whose relative importance varies with image content and usage scenarios. Under end-to-end training with only overall-score supervision, attribute signals are blended, whic…

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2025

Deliberation on Priors: Trustworthy Reasoning of Large Language Models on Knowledge Graphs

Jie Ma, Ning Qu, Zhitao Gao, Xing Rui, Jun Liu, Hongbin Pei +5

NeurIPS 2025poster

Knowledge graph-based retrieval-augmented generation seeks to mitigate hallucinations in Large Language Models (LLMs) caused by insufficient or outdated knowledge. However, existing methods often fail to fully exploit the prior knowledge embedded in knowledge graphs (KGs), particularly their structu…

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