9 citations · 17 across the 5 of their papers we have counts for
5 papers
Shape Your Feed: An LLM-based Agentic System for Conversational Recommendation
Ziyun Xu, Bosen Ding, Yue Zhang +10
Industrial recommendation systems predominantly adopt a passive ranking paradigm that infers user preferences from implicit behavioral signals (e.g., clicks, dwell time) rather tha…
A General Framework for Multimodal LLM-Based Multimedia Understanding in Large-Scale Recommendation Systems
Yiming Zhu, Xu Liu, Ziyun Xu +9
Conventional recommendation systems frequently fail to fully exploit the high-dimensional semantic signals inherent in multimedia content, thereby limiting the fidelity of user pre…
Revisiting Kernelized Locality-Sensitive Hashing for Improved Large-Scale Image Retrieval
Ke Jiang, Qichao Que, Brian Kulis
We present a simple but powerful reinterpretation of kernelized locality-sensitive hashing (KLSH), a general and popular method developed in the vision community for performing app…
Inverse Density as an Inverse Problem: The Fredholm Equation Approach
Qichao Que, Mikhail Belkin
In this paper we address the problem of estimating the ratio where is a density function and is another density, or, more generally an arbitrary function. Kno…
Graph Laplacians on Singular Manifolds: Toward understanding complex spaces: graph Laplacians on manifolds with singularities and boundaries
Mikhail Belkin, Qichao Que, Yusu Wang +1
Recently, much of the existing work in manifold learning has been done under the assumption that the data is sampled from a manifold without boundaries and singularities or that th…