He Feng — accepted AI-conference papers

2025

DH-FaceVid-1K: A Large-Scale High-Quality Dataset for Face Video Generation

Donglin Di, He Feng, Wenzhang Sun, Yongjia Ma, Hao Li, Wei Chen +3

ICCV 2025poster

Human-centric generative models are becoming increasingly popular, giving rise to various innovative tools and applications, such as talking face videos conditioned on text or audio prompts. The core of these capabilities lies in powerful pre-trained foundation models, trained on large-scale, high-q…

Cited by 0 Source ↗PDF ↗code ↗Scholar ↗

2022

DialogUSR: Complex Dialogue Utterance Splitting and Reformulation for Multiple Intent Detection

Haoran Meng, Zheng Xin, Tianyu Liu, Zizhen Wang, He Feng, Binghuai Lin +3

EMNLP 2022finding

While interacting with chatbots, users may elicit multiple intents in a single dialogue utterance. Instead of training a dedicated multi-intent detection model, we propose DialogUSR, a dialogue utterance splitting and reformulation task that first splits multi-intent user query into several single-i…

Cited by 3 Source ↗PDF ↗code ↗Scholar ↗