activity
20242026
collaborators

20 papers

cs.CV2026

DramaDirector: Geometry-Guided Short Drama Generation

Hengji Zhou, Sijie Liu, Jianrun Chen +3

Short dramas, with their rapid shot rhythms, dialogue-driven focus shifts, and demanding cinematographic grounding, pose challenges that prompt-level or text-only video generation…

cs.CV2026

VideoAgent: All-in-One Framework for Video Understanding and Editing

Hengji Zhou, Lingxuan Huang, Jian Wang +4

Video editing has become essential in digital media creation, yet existing automated systems are restricted to short segment processing and domain-specific tasks. They face two cri…

cs.AI2026

Navigating User Behavior toward Personalized Multimodal Generation

Hengji Zhou, Yufeng Liu, Ye Liu +3

Modern AIGC pipelines deliver high-fidelity images and videos but presuppose a well-formed creation instruction, while end users rarely articulate visual details, leaving generator…

cs.AI2026

TailorMind: Towards Preference-Aligned Multimodal Content Generation

Hengji Zhou, Ye Liu, Yufeng Liu +3

Personalized content systems depend on available UGC and struggle when suitable content is absent, delayed, or costly to create. Although multimodal generators can synthesize conte…

cs.CV2026

ViMax: Agentic Video Generation

Lingxuan Huang, Sizhe He, Hengji Zhou +3

Long-form video generation requires systematic narrative planning and visual consistency that current short-clip methods cannot provide. Existing methods generate isolated sequence…

cs.IR2025

A Comprehensive Survey on Self-Supervised Learning for Recommendation

Xubin Ren, Wei Wei, Lianghao Xia +1

Recommender systems play a crucial role in tackling the challenge of information overload by delivering personalized recommendations based on individual user preferences. Deep lear…