no code implementations • 22 Feb 2023 • Donghuo Zeng, Jianming Wu, Yanan Wang, Kazunori Matsumoto, Gen Hattori, Kazushi Ikeda
Furthermore, our proposed topic-switch algorithm achieves an average score of 1. 767 and outperforms PLATO-JDS by 0. 267, indicating its effectiveness in improving the user experience of our system.
no code implementations • 1 Feb 2023 • Monisha Singh, Ximi Hoque, Donghuo Zeng, Yanan Wang, Kazushi Ikeda, Abhinav Dhall
To this end, a large scale multi-faceted engagement in the wild dataset is proposed.
no code implementations • 7 Nov 2022 • Donghuo Zeng, Yanan Wang, Jianming Wu, Kazushi Ikeda
In this paper, to reduce the interference of hard negative samples in representation learning, we propose a new AV-CMR model to optimize semantic features by directly predicting labels and then measuring the intrinsic correlation between audio-visual data using complete cross-triple loss.
no code implementations • 23 May 2022 • Yanan Wang, Michihiro Yasunaga, Hongyu Ren, Shinya Wada, Jure Leskovec
In this work, we propose a novel visual question answering method, VQA-GNN, which unifies the image-level information and conceptual knowledge to perform joint reasoning of the scene.
2 code implementations • CVPR 2022 • Yanan Wang, Xuezhi Liang, Shengcai Liao
To address this, in this work, an automatic approach is proposed to directly clone the whole outfits from real-world person images to virtual 3D characters, such that any virtual person thus created will appear very similar to its real-world counterpart.
Ranked #1 on Unsupervised Domain Adaptation on ClonedPerson (using extra training data)
Generalizable Person Re-identification Unsupervised Domain Adaptation +1
no code implementations • 1 Feb 2022 • Dadong Miao, Yanan Wang, Guoyu Tang, Lin Liu, Sulong Xu, Bo Long, Yun Xiao, Lingfei Wu, Yunjiang Jiang
Recent years have seen a significant amount of interests in Sequential Recommendation (SR), which aims to understand and model the sequential user behaviors and the interactions between users and items over time.
no code implementations • 28 Jan 2022 • Haowei He, Jingzhao Zhang, Yanan Wang, Benben Jiang, Shaobo Huang, Chen Wang, Yang Zhang, Xuebing Han, Dongxu Guo, Guannan He, Minggao Ouyang
We study the hypothesis testing problem for unknown dynamical systems.
no code implementations • 4 Dec 2020 • Yanan Wang, Yong Ge, Li Li, Rui Chen, Tong Xu
To improve adaptation efficiency, we learn to recover the user policy and reward from only a few interactions via an inverse reinforcement learning method to assist a meta-level recommendation agent.
Model-based Reinforcement Learning Recommendation Systems +2
1 code implementation • 23 Jun 2020 • Yanan Wang, Shengcai Liao, Ling Shao
To address this, we propose to automatically synthesize a large-scale person re-identification dataset following a set-up similar to real surveillance but with virtual environments, and then use the synthesized person images to train a generalizable person re-identification model.
Domain Generalization Generalizable Person Re-identification +1
no code implementations • 28 Aug 2019 • Yanan Wang, Tong Xu, Xin Niu, Chang Tan, Enhong Chen, Hui Xiong
Moreover, based on the temporally-dependent traffic information, we design a Graph Neural Network based model to represent relationships among multiple traffic lights, and the decision for each traffic light will be made in a distributed way by the deep Q-learning method.