1 code implementation • 5 Dec 2023 • Xinhang Li, Chong Chen, Xiangyu Zhao, Yong Zhang, Chunxiao Xing
Furthermore, practical ID-based recommendation strategies, reliant on a huge number of unique identities (IDs) to represent users and items, have gained prominence in real-world recommender systems due to their effectiveness and efficiency.
1 code implementation • 7 Nov 2023 • Enhong Liu, Joseph Suarez, Chenhui You, Bo Wu, BingCheng Chen, Jun Hu, Jiaxin Chen, Xiaolong Zhu, Clare Zhu, Julian Togelius, Sharada Mohanty, Weijun Hong, Rui Du, Yibing Zhang, Qinwen Wang, Xinhang Li, Zheng Yuan, Xiang Li, Yuejia Huang, Kun Zhang, Hanhui Yang, Shiqi Tang, Phillip Isola
In this paper, we present the results of the NeurIPS-2022 Neural MMO Challenge, which attracted 500 participants and received over 1, 600 submissions.
1 code implementation • 7 Jul 2023 • Jiaxing Xu, Qingtian Bian, Xinhang Li, Aihu Zhang, Yiping Ke, Miao Qiao, Wei zhang, Wei Khang Jeremy Sim, Balázs Gulyás
Our contributions underscore the potential of ContrastPool for advancing the understanding of brain networks and neurodegenerative conditions.
no code implementations • 3 Jul 2023 • Xinhang Li, Xiangyu Zhao, Yejing Wang, Yu Liu, Yong Li, Cheng Long, Yong Zhang, Chunxiao Xing
As a representative information retrieval task, site recommendation, which aims at predicting the optimal sites for a brand or an institution to open new branches in an automatic data-driven way, is beneficial and crucial for brand development in modern business.
1 code implementation • 8 Jun 2023 • Xinhang Li, Yiying Yang, Zheng Yuan, Zhe Wang, Qinwen Wang, Chen Xu, Lei LI, Jianhua He, Lin Zhang
For the more challenging problem of pursuing multiple evading vehicles, these algorithms typically select a fixed target evading vehicle for pursuing vehicles without considering dynamic traffic situation, which significantly reduces pursuing success rate.
1 code implementation • 20 Mar 2023 • Xinhang Li, Xiangyu Zhao, Jiaxing Xu, Yong Zhang, Chunxiao Xing
To this end, we propose a two-stage multimodal fusion framework to preserve modality-specific knowledge as well as take advantage of the complementarity between different modalities.
1 code implementation • 24 Oct 2022 • Yiying Yang, Xinhang Li, Zheng Yuan, Qinwen Wang, Chen Xu, Lin Zhang
However, existing works on MVP pay little attention to the importance of information exchange and cooperation among pursuing vehicles under the complex urban traffic environment.
1 code implementation • 10 Apr 2022 • Xinhang Li, Zihao Li, Nan Yang, Zheng Yuan, Qinwen Wang, Yiying Yang, Yupeng Huang, Xuri Song, Lei LI, Lin Zhang
The expansion of renewable energy could help realizing the goals of peaking carbon dioxide emissions and carbon neutralization.
no code implementations • 25 Jan 2022 • Xinhang Li, Yong Zhang, Chunxiao Xing
We adopt GCN-based models to learn the representation of entities by considering the graph structure and incorporating the relation semantic information into GCN via knowledge distillation.
1 code implementation • 9 Aug 2021 • Zhe Wang, Xinhang Li, Tianhao Wu, Chen Xu, Lin Zhang
This paper proposes a Swarm-Federated Deep Learning framework in the IoV system (IoV-SFDL) that integrates SL into the FDL framework.
no code implementations • 7 Nov 2019 • Zhihan Zhang, Zhiyi Yin, Shuhuai Ren, Xinhang Li, Shicheng Li
In this paper, we aim to collect diversified information from video and text for informative comment generation.