E4SRec: An Elegant Effective Efficient Extensible Solution of Large Language Models for Sequential Recommendation

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.

Sequential Recommendation Text Generation

The NeurIPS 2022 Neural MMO Challenge: A Massively Multiagent Competition with Specialization and Trade

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.

Contrastive Graph Pooling for Explainable Classification of Brain Networks

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.

Classification

OpenSiteRec: An Open Dataset for Site Recommendation

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.

Benchmarking Information Retrieval +1

Progression Cognition Reinforcement Learning with Prioritized Experience for Multi-Vehicle Pursuit

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.

Multi-agent Reinforcement Learning reinforcement-learning

IMF: Interactive Multimodal Fusion Model for Link Prediction

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.

Contrastive Learning Knowledge Graphs +1

Graded-Q Reinforcement Learning with Information-Enhanced State Encoder for Hierarchical Collaborative Multi-Vehicle Pursuit

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.

Decision Making

Confidence Estimation Transformer for Long-term Renewable Energy Forecasting in Reinforcement Learning-based Power Grid Dispatching

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.

reinforcement-learning Reinforcement Learning (RL)

Jointly Learning Knowledge Embedding and Neighborhood Consensus with Relational Knowledge Distillation for Entity Alignment

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.

Benchmarking Entity Alignment +4

A Credibility-aware Swarm-Federated Deep Learning Framework in Internet of Vehicles

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.

BIG-bench Machine Learning Edge-computing

DCA: Diversified Co-Attention towards Informative Live Video Commenting

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.

Comment Generation Metric Learning