activity
20242026
most citedUoMo: A Universal Model of Mobile Traffic Forecasting for Wireless Network Optimization

4 citations · 4 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2026

SlotMem: Character-Addressable Internal Memory for Narrative Long Video Generation

Yilai Liu, Xin Zhang, Shiyuan Zhang +1

Maintaining recurring character identities across scene transitions and long temporal gaps is a central challenge in narrative long video generation. Methods targeting global consi…

cs.LG2026

MIDiff: Tackling Sparsity and Imbalance in Mobile Usage Generation via Multivariate-Imaging Diffusion

Yilai Liu, Shiyuan Zhang, Hongyang Du

Mobile usage traces are critical for tasks such as user behavior prediction and app recommendation, yet their use is constrained by privacy restrictions and costly large-scale data…

cs.CE2026

NetSpatial: Spatially Conditional Traffic Generation for Cellular Planning and Operations

Shiyuan Zhang, Jiale Du, Yuanwei Liu +2

Base station (BS) deployment and operation are fundamental to network performance, yet they require accurate demand understanding, which remains difficult for operators. Cellular t…

cs.LG2025

LSDM: LLM-Enhanced Spatio-temporal Diffusion Model for Service-Level Mobile Traffic Prediction

Shiyuan Zhang, Tong Li, Zhu Xiao +2

Service-level mobile traffic prediction for individual users is essential for network efficiency and quality of service enhancement. However, current prediction methods are limited…

q-bio.NC2025

AI Agent Behavioral Science

Lin Chen, Yunke Zhang, Jie Feng +13

Recent advances in large language models (LLMs) have enabled the development of AI agents that exhibit increasingly human-like behaviors, including planning, adaptation, and social…

cs.LG2024★ 4 cited

UoMo: A Universal Model of Mobile Traffic Forecasting for Wireless Network Optimization

Haoye Chai, Shiyuan Zhang, Xiaoqian Qi +2

Mobile traffic forecasting allows operators to anticipate network dynamics and performance in advance, offering substantial potential for enhancing service quality and improving us…