activity
20242026
most citedPersonalized Fashion Recommendation with Image Attributes and Aesthetics Assessment

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL2026

Policy-Conditioned Constrained Decoding for Column-Level Access Control in Text-to-SQL

Ryoto Miyamoto, Xin Fan, Hayato Yamana

Text-to-SQL is increasingly deployed across trust boundaries between data providers and users. Such deployment must balance three competing requirements: policy compliance, answer…

cs.CV2025

OpenLVLM-MIA: A Controlled Benchmark Revealing the Limits of Membership Inference Attacks on Large Vision-Language Models

Ryoto Miyamoto, Xin Fan, Fuyuko Kido +2

OpenLVLM-MIA is a new benchmark that highlights fundamental challenges in evaluating membership inference attacks (MIA) against large vision-language models (LVLMs). While prior wo…

cs.IR2025

Light distillation for Incremental Graph Convolution Collaborative Filtering

X Fan, F Mo, C Chen +1

Recommender systems presently utilize vast amounts of data and play a pivotal role in enhancing user experiences. Graph Convolution Networks (GCNs) have surfaced as highly efficien…

cs.IR20251 cited

Personalized Fashion Recommendation with Image Attributes and Aesthetics Assessment

Chongxian Chen, Fan Mo, Xin Fan +1

Personalized fashion recommendation is a difficult task because 1) the decisions are highly correlated with users' aesthetic appetite, which previous work frequently overlooks, and…

cs.IR2024

Data-Efficient Massive Tool Retrieval: A Reinforcement Learning Approach for Query-Tool Alignment with Language Models

Yuxiang Zhang, Xin Fan, Junjie Wang +4

Recent advancements in large language models (LLMs) integrated with external tools and APIs have successfully addressed complex tasks by using in-context learning or fine-tuning. D…