Xiaoli Li

Learning User Dependencies for Recommendation

2017

Social recommender systems exploit users' social relationships to improve recommendation accuracy. Intuitively, a user tends to trust different people regarding with different scenarios. Therefore, one main challenge of social recommendation is to exploit the most …

HyperML

2020

This paper investigates the notion of learning user and item representations in non-Euclidean space. Specifically, we study the connection between metric learning in hyperbolic space and collaborative filtering by exploring Mobius gyrovector spaces where the …

Prediction of Suspect Activity Trajectory in Food Safety Area Based on Multiple U-Model Algorithm

2020 · Mathematical Problems in Engineering

Modelling and predicting the suspect activity trajectory are of great importance for preventing and fighting crime in the food safety area. Combing artificial intelligence and the multiple U-model algorithm, this paper represents a novel approach …

An improved model of document retrieval efficiency based on information theory

2021 · Journal of Physics Conference Series

Abstract Literature retrieval is an important auxiliary work of scientific research. The form of literature retrieval is becoming more and more abundant, the number of literature is huge, and the storage set is complex. The …

SEnsor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation

2023 · Proceedings of the AAAI Conference on Artificial Intelligence

Unsupervised Domain Adaptation (UDA) methods can reduce label dependency by mitigating the feature discrepancy between labeled samples in a source domain and unlabeled samples in a similar yet shifted target domain. Though achieving good performance, …

Rethinking the Role of Structural Information: How It Enhances Code Representation Learning?

2024

Code pre-trained models (CodePTMs) have recently exhibited remarkable accomplishments in the realm of software engineering. However, there are still limited advancements in understanding the inner mechanism of these models, as well as their sensitivity to …

vMFCoOp: Towards Equilibrium on a Unified Hyperspherical Manifold for Prompting Biomedical VLMs

2025 · arXiv (Cornell University)

Recent advances in context optimization (CoOp) guided by large language model (LLM)-distilled medical semantic priors offer a scalable alternative to manual prompt engineering and full fine-tuning for adapting biomedical CLIP-based vision-language models (VLMs). However, prompt …

Rank-GeoFM

2015

With the rapid growth of location-based social networks, Point of Interest (POI) recommendation has become an important research problem. However, the scarcity of the check-in data, a type of implicit feedback data, poses a severe …