no code implementations • 15 Jan 2024 • Jie Sun, Zhaoying Ding, Xiaoshuang Chen, Qi Chen, Yincheng Wang, Kaiqiao Zhan, Ben Wang
These results highlight the effectiveness of the CREAD framework in watch time prediction in video recommender systems.
no code implementations • 12 Jan 2024 • Gengrui Zhang, Yao Wang, Xiaoshuang Chen, Hongyi Qian, Kaiqiao Zhan, Ben Wang
In recent years, there has been a growing interest in utilizing reinforcement learning (RL) to optimize long-term rewards in recommender systems.
Multi-agent Reinforcement Learning Recommendation Systems +2
no code implementations • 15 Nov 2023 • Xiaoshuang Chen, Zhongyi Sun, Ke Yan, Shouhong Ding, Hongtao Lu
In detail, CPPF consists of a prototype clustering module (PC), an embedding space reserving module (ESR) and a multi-teacher distillation module (MTD).
no code implementations • 22 Feb 2022 • Xiaoshuang Chen, Hongtao Lu
To address this problem, we propose a self-adaptive feature similarity learning (SFSL) network and a global-local consistency (GLC) loss to reinforce local feature representation.
no code implementations • 31 Oct 2021 • Xiaoshuang Chen, Yiru Zhao, Yu Qin, Fei Jiang, Mingyuan Tao, Xiansheng Hua, Hongtao Lu
Crowd counting aims to learn the crowd density distributions and estimate the number of objects (e. g. persons) in images.
no code implementations • 25 May 2019 • Jiaxing Wang, Yin Zheng, Xiaoshuang Chen, Junzhou Huang, Jian Cheng
Semi-supervised learning (SSL) provides a powerful framework for leveraging unlabeled data when labels are limited or expensive to obtain.
1 code implementation • 18 May 2019 • Xiaoshuang Chen, Yin Zheng, Jiaxing Wang, Wenye Ma, Junzhou Huang
Factorization machines (FM) are a popular model class to learn pairwise interactions by a low-rank approximation.