Author

Ruoxuan Xiong

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Review Aug 2026

Two-Sided State-Space Models for Sequential Recommendation with Non-Random Multimodal Review Feedback

Two-sided digital platforms are inherently dynamic: user preferences shift, item popularity evolves, and reviews both reflect and drive these changes. Yet most sequential recommendation systems treat reviews as passive signals for updating user states, leaving two aspects underexplored. First, review generation is nonr...

Ziwen Pan, Zihan Liang, Ruoxuan Xiong · 0 citations

#small language model Preprint Sep 2026

Long-Context Demonstration Selection Using State Space Models

This paper focuses on the problem of demonstration selection, which involves selecting a subset of examples for prepending to a query to a language model, and builds on state space models (SSMs), which require only linear inference time given the input.

Zi-Niu Zhang, Zhen-Shuo Zhang, Ruoxuan Xiong et al. · 0 citations

#machine learning Preprint Sep 2026

Long-Context Demonstration Selection Using State Space Models

We study the problem of demonstration selection, which involves selecting a subset of examples for prepending to a query to a language model. This problem is closely related to in-context learning and language model inference. Since the inference cost of a transformer model scales quadratically with sequence length, th...

Zi-Niu Zhang, Zhen-Shuo Zhang, Ruoxuan Xiong et al. · 0 citations

#machine learning Preprint Feb 2026

AI-Generated Measurements for Identification and Inference with Missing Data: A Weak Shadow Variable Approach

This work develops an assumption-lean partial identification framework that uses such measurements as weak shadow variables, defined as outcome-informative proxies that are conditionally independent of missingness given the true outcome and observed covariates.

Hongyu Chen, David Simchi-Levi, Ruoxuan Xiong · 1 citation