collaborators

5 papers

cs.IR2026

Preference Flow Matching with Spectral Factorization for Micro-video Recommendation

Xinxin Dong, Haokai Ma, Fei Hu +4

Micro-video recommendation aims to infer user preferences from historical interactions and multimodal video content, thereby identifying the next video of interest. However, prevai…

cs.IR2026

MealRec: Multi-granularity Sequential Modeling via Hierarchical Diffusion Models for Micro-Video Recommendation

Xinxin Dong, Haokai Ma, Yuze Zheng +3

Micro-video recommendation aims to capture user preferences from the collaborative and context information of the interacted micro-videos, thereby predicting the appropriate videos…

cs.CV2025

See What You Need: Query-Aware Visual Intelligence through Reasoning-Perception Loops

Zixuan Dong, Baoyun Peng, Yufei Wang +4

Human video comprehension demonstrates dynamic coordination between reasoning and visual attention, adaptively focusing on query-relevant details. However, current long-form video…

cs.CV2025

LeAdQA: LLM-Driven Context-Aware Temporal Grounding for Video Question Answering

Xinxin Dong, Baoyun Peng, Haokai Ma +4

Video Question Answering (VideoQA) requires identifying sparse critical moments in long videos and reasoning about their causal relationships to answer semantically complex questio…

cs.IR2025

Align-for-Fusion: Harmonizing Triple Preferences via Dual-oriented Diffusion for Cross-domain Sequential Recommendation

Yongfu Zha, Xinxin Dong, Haokai Ma +2

Personalized sequential recommendation aims to predict appropriate items for users based on their behavioral sequences. To alleviate data sparsity and interest drift issues, conven…