activity
20192026
most citedExtraction of Behavioral Features from Smartphone and Wearable Data

8 citations · 12 across the 5 of their papers we have counts for

collaborators

5 papers

math.ST2026

A Partially Functional Dynamic Structural Equation Model for Multi-Resolution Environmental Data

Xinwen Liu, Nainsheng Tang, Song Xi Chen

Understanding the complex relationships between atmospheric pollutant emissions and their multifaceted determinants presents a dual challenge: driving factors operate at fundamenta…

stat.ML2025

Partially Functional Dynamic Backdoor Diffusion-based Causal Model

Xinwen Liu, Lei Qian, Song Xi Chen +1

Causal inference in spatio-temporal settings is critically hindered by unmeasured confounders with complex spatio-temporal dynamics and the prevalence of multi-resolution data. Whi…

cs.LG2025

Apple Intelligence Foundation Language Models: Tech Report 2025

Ethan Li, Anders Boesen Lindbo Larsen, Chen Zhang +395

We introduce two multilingual, multimodal foundation language models that power Apple Intelligence features across Apple devices and services: i a 3B-parameter on-device model opti…

cs.AI2024★ 4 cited

Apple Intelligence Foundation Language Models

Tom Gunter, Zirui Wang, Chong Wang +152

We present foundation language models developed to power Apple Intelligence features, including a ~3 billion parameter model designed to run efficiently on devices and a large serv…

cs.CY2019★ 8 cited

Extraction of Behavioral Features from Smartphone and Wearable Data

Afsaneh Doryab, Prerna Chikarsel, Xinwen Liu +1

The rich set of sensors in smartphones and wearable devices provides the possibility to passively collect streams of data in the wild. The raw data streams, however, can rarely be…