activity
20222025
most citedHuman Pose Driven Object Effects Recommendation

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

collaborators

5 papers

cs.CV2025

ExGes: Expressive Human Motion Retrieval and Modulation for Audio-Driven Gesture Synthesis

Xukun Zhou, Fengxin Li, Ming Chen +7

Audio-driven human gesture synthesis is a crucial task with broad applications in virtual avatars, human-computer interaction, and creative content generation. Despite notable prog…

cs.IR2024

LEADRE: Multi-Faceted Knowledge Enhanced LLM Empowered Display Advertisement Recommender System

Fengxin Li, Yi Li, Yue Liu +11

Display advertising provides significant value to advertisers, publishers, and users. Traditional display advertising systems utilize a multi-stage architecture consisting of retri…

cs.LG2024★ 2 cited

KAN v.s. MLP for Offline Reinforcement Learning

Haihong Guo, Fengxin Li, Jiao Li +1

Kolmogorov-Arnold Networks (KAN) is an emerging neural network architecture in machine learning. It has greatly interested the research community about whether KAN can be a promisi…

cs.GR2024

Meta-Learning Empowered Meta-Face: Personalized Speaking Style Adaptation for Audio-Driven 3D Talking Face Animation

Xukun Zhou, Fengxin Li, Ziqiao Peng +5

Audio-driven 3D face animation is increasingly vital in live streaming and augmented reality applications. While remarkable progress has been observed, most existing approaches are…

cs.CV2022★ 2 cited

Human Pose Driven Object Effects Recommendation

Zhaoxin Fan, Fengxin Li, Hongyan Liu +2

In this paper, we research the new topic of object effects recommendation in micro-video platforms, which is a challenging but important task for many practical applications such a…