papers

Publications (82)

eess.IV2025

Once-Training-All-Fine: No-Reference Point Cloud Quality Assessment via Domain-relevance Degradation Description

Yipeng Liu, Qi Yang, Yujie Zhang +4

The visual quality of point clouds plays a crucial role in the development and broadcasting of immersive media. Therefore, investigating point cloud quality assessment (PCQA) is in…

q-fin.CP2024

Optimizing Portfolio Management and Risk Assessment in Digital Assets Using Deep Learning for Predictive Analysis

Qishuo Cheng, Le Yang, Jiajian Zheng +2

Portfolio management issues have been extensively studied in the field of artificial intelligence in recent years, but existing deep learning-based quantitative trading methods hav…

stat.ML2018

Ensemble Kalman Filtering for Online Gaussian Process Regression and Learning

Danil Kuzin, Le Yang, Olga Isupova +1

Gaussian process regression is a machine learning approach which has been shown its power for estimation of unknown functions. However, Gaussian processes suffer from high computat…

cs.IT2020

Spatio-Temporal Analysis of Cellular Networks with Cell-Center/Edge Users

Le Yang, Fu-Chun Zheng, Shi Jin

Emergence of various types of services has brought about explosive growth of traffic as well as diversified traffic characteristics in the cellular networks. To have a comprehensiv…

cs.IT2026

Spatial Prefix Caching for Wireless Edge LLM Inference: A Stochastic-Geometry and Queueing Framework

Le Yang, Zhouyong Liu

Prefix caching reuses the key--value (KV) states of shared prompt prefixes and can substantially reduce the time to first token (TTFT) of large language model (LLM) inference. In a…

cs.CV2024

Adaptive Hybrid Masking Strategy for Privacy-Preserving Face Recognition Against Model Inversion Attack

Yinggui Wang, Yuanqing Huang, Jianshu Li +3

The utilization of personal sensitive data in training face recognition (FR) models poses significant privacy concerns, as adversaries can employ model inversion attacks (MIA) to i…