collaborators

5 papers

cs.IR2026

OpticalRec: Unified Optical Vision-Language Representation for Multimodal Recommendation

Yueqi Wang, Zitian Guo, Yupeng Hou +9

Recent advances in vision-language modeling have substantially improved multimodal encoding, retrieval and reasoning. Yet for multimodal recommendation, encoding rich item vision-l…

cs.LG2026

Mechanism Design for Generative Engines: From Exploitation toward Win-Win Outcomes

Chen Xu, Zitian Guo, Chenyan Xiong

Generative engines are reshaping the web ecosystem by making citations a key mechanism for allocating attention, attribution, and downstream value. This creates a strategic tension…

cs.IR2026

MLPs are Efficient Distilled Generative Recommenders

Zitian Guo, Yupeng Hou, Clark Mingxuan Ju +2

Generative recommendation models employing Semantic IDs (SIDs) exhibit strong potential, yet their practical deployment is bottlenecked by the high inference latency of beam-expand…

cs.IR2026

How Well Does Generative Recommendation Generalize?

Yijie Ding, Zitian Guo, Jiacheng Li +8

A widely held hypothesis for why generative recommendation (GR) models outperform conventional item ID-based models is that they generalize better. However, there is few systematic…

cs.GT2025

Deterministic-Allocation and Anonymous Joint Advertising in E-commerce Platforms

Zhen Zhang, Luowen Liu, Wanzhi Zhang +5

With the advancement of machine learning, an increasing number of studies are employing automated mechanism design (AMD) methods for optimal auction design. However, all previous A…