no code implementations • 13 May 2024 • Fengchuang Xing, Xiaowen Shi, Yuan-Gen Wang, Chunsheng Yang
We first collect an FRR dataset, named deepFRR, which contains 50, 000 StyleGAN-generated high-resolution (1024*1024) facial images and their corresponding retouched ones by a commercial online API.
no code implementations • 28 Jan 2024 • Xiaowen Shi, Yuan-Gen Wang
In this article, we make the first attempt to adapt the diffusion model to the UIE task and propose a Content-Preserving Diffusion Model (CPDM) to address the above challenges.
no code implementations • 17 Apr 2023 • Xiaowen Shi, Ze Wang, Yuanying Cai, Xiaoxu Wu, Fan Yang, Guogang Liao, Yongkang Wang, Xingxing Wang, Dong Wang
There are two types of data employed to train reinforcement learning (RL) model for position allocation, named strategy data and random data.
1 code implementation • 6 Feb 2023 • Xiaowen Shi, Fan Yang, Ze Wang, Xiaoxu Wu, Muzhi Guan, Guogang Liao, Yongkang Wang, Xingxing Wang, Dong Wang
Then we design a novel omnidirectional attention mechanism in OCPM to capture the context information in the permutation.
no code implementations • 2 Apr 2022 • Ze Wang, Guogang Liao, Xiaowen Shi, Xiaoxu Wu, Chuheng Zhang, Bingqi Zhu, Yongkang Wang, Xingxing Wang, Dong Wang
Ads allocation, which involves allocating ads and organic items to limited slots in feed with the purpose of maximizing platform revenue, has become a research hotspot.
no code implementations • 2 Apr 2022 • Ze Wang, Guogang Liao, Xiaowen Shi, Xiaoxu Wu, Chuheng Zhang, Yongkang Wang, Xingxing Wang, Dong Wang
With the recent prevalence of reinforcement learning (RL), there have been tremendous interests in utilizing RL for ads allocation in recommendation platforms (e. g., e-commerce and news feed sites).
no code implementations • 1 Apr 2022 • Guogang Liao, Xiaowen Shi, Ze Wang, Xiaoxu Wu, Chuheng Zhang, Yongkang Wang, Xingxing Wang, Dong Wang
A mixed list of ads and organic items is usually displayed in feed and how to allocate the limited slots to maximize the overall revenue is a key problem.
1 code implementation • 9 Sep 2021 • Guogang Liao, Ze Wang, Xiaoxu Wu, Xiaowen Shi, Chuheng Zhang, Yongkang Wang, Xingxing Wang, Dong Wang
Our model results in higher revenue and better user experience than state-of-the-art baselines in offline experiments.
1 code implementation • 16 Feb 2020 • Xiaowen Shi, Xin Li, Caili Wu, Shuchen Kong, Jing Yang, Liang He
Automatic analysis of highly crowded people has attracted extensive attention from computer vision research.