Research

You can also find my articles on my Google Scholar profile.

Long Video Understanding & Generation


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

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

arXiv, 2026

Yilai Liu, Xin Zhang, Shiyuan Zhang, and Hongyang Du

Propose SlotMem, a character-addressable internal memory framework for preserving long-range character consistency in narrative long-video generation.

[Paper]

Mobile Usage Behavior Modeling


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

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

arXiv, 2026

Yilai Liu, Shiyuan Zhang, and Hongyang Du

Propose MIDiff, a multivariate-imaging diffusion framework for generating realistic and diverse mobile usage traces under sparsity and usage imbalance.

[Paper]

U-MASK: User-adaptive Spatio-Temporal Masking for Personalized Mobile AI Applications

U-MASK: User-adaptive Spatio-Temporal Masking for Personalized Mobile AI Applications

arXiv, 2026

Shiyuan Zhang, Yilai Liu, Yuwei Du, Ruoxuan Yang, Dong In Kim, and Hongyang Du

Propose U-MASK, a uniform model for multi-tasks generazabiltity through spatio-temporal masks for contexts-retrival under sparse observations.

[Paper]

Poster: Enhancing Mobile Traffic Data Generation through Spatio-temporal Correlation Imaging

Poster: Enhancing Mobile Traffic Data Generation through Spatio-temporal Correlation Imaging

MobiCom Poster, 2025

Yilai Liu, Shiyuan Zhang, Hongyang Du

Address the challenge of users’ daily mobile usage modeling under usage sparsity by correlation imaging for data augmentation.

[Paper]