collaborators

12 papers

cs.IR2026

APAO: Bridging the Training-Inference Gap in Generative Recommendation via Adaptive Prefix-Aware Optimization

Yuanqing Yu, Yifan Wang, Weizhi Ma +2

Generative recommendation has recently emerged as a promising paradigm for sequential recommendation. It formulates the task as an autoregressive generation process, predicting tok…

cs.CV2026

From Verbatim to Gist: Distilling Pyramidal Multimodal Memory via Semantic Information Bottleneck for Long-Horizon Video Agents

Niu Lian, Yuting Wang, Hanshu Yao +5

While multimodal large language models have demonstrated impressive short-term reasoning, they struggle with long-horizon video understanding due to limited context windows and sta…

cs.CV2026

BrandFusion: A Multi-Agent Framework for Seamless Brand Integration in Text-to-Video Generation

Zihao Zhu, Ruotong Wang, Siwei Lyu +2

The rapid advancement of text-to-video (T2V) models has revolutionized content creation, yet their commercial potential remains largely untapped. We introduce, for the first time,…

cs.IR2026

Understanding Internal Representations of Recommendation Models with Sparse Autoencoders

Jiayin Wang, Xiaoyu Zhang, Weizhi Ma +2

Recommendation model interpretation aims to reveal the relationships between inputs, model internal representations and outputs to enhance the transparency, interpretability, and t…

cs.CV2025

GSE: Evaluating Sticker Visual Semantic Similarity via a General Sticker Encoder

Heng Er Metilda Chee, Jiayin Wang, Zhiqiang Guo +2

Stickers have become a popular form of visual communication, yet understanding their semantic relationships remains challenging due to their highly diverse and symbolic content. In…

cs.IR2025

Human vs. Agent in Task-Oriented Conversations

Zhefan Wang, Ning Geng, Zhiqiang Guo +2

Task-oriented conversational systems are essential for efficiently addressing diverse user needs, yet their development requires substantial amounts of high-quality conversational…