Search Results for author: Yongheng Wang

Found 8 papers, 4 papers with code

Joint Planning of Active Distribution Network and EV Charging Stations Considering Vehicle-to-Grid Functionality and Reactive Power Support

no code implementations26 Dec 2023 Yongheng Wang, Xinwei Shen, Yan Xu

This paper proposes a collaborative planning model for the active distribution network (ADN) and electric vehicle (EV) charging stations that fully considers the vehicle-to-grid (V2G) function and reactive power support of EVs in different regions.

Improving Knowledge Distillation via Regularizing Feature Norm and Direction

1 code implementation26 May 2023 Yuzhu Wang, Lechao Cheng, Manni Duan, Yongheng Wang, Zunlei Feng, Shu Kong

Finally, we propose a rather simple loss term (dubbed ND loss) to simultaneously (1) encourage student to produce large-\emph{norm} features, and (2) align the \emph{direction} of student features and teacher class-means.

Domain Adaptation Knowledge Distillation

Continual Multimodal Knowledge Graph Construction

1 code implementation15 May 2023 Xiang Chen, Ningyu Zhang, Jintian Zhang, Xiaohan Wang, Tongtong Wu, Xi Chen, Yongheng Wang, Huajun Chen

Multimodal Knowledge Graph Construction (MKGC) involves creating structured representations of entities and relations using multiple modalities, such as text and images.

Continual Learning graph construction +1

SimCGNN: Simple Contrastive Graph Neural Network for Session-based Recommendation

no code implementations8 Feb 2023 Yuan Cao, Xudong Zhang, Fan Zhang, Feifei Kou, Josiah Poon, Xiongnan Jin, Yongheng Wang, Jinpeng Chen

Session-based recommendation (SBR) problem, which focuses on next-item prediction for anonymous users, has received increasingly more attention from researchers.

Contrastive Learning Session-Based Recommendations

Ensemble Clustering via Co-association Matrix Self-enhancement

1 code implementation12 May 2022 Yuheng Jia, Sirui Tao, Ran Wang, Yongheng Wang

By propagating the highly-reliable information of the HC matrix to the CA matrix and complementing the HC matrix according to the CA matrix simultaneously, the proposed method generates an enhanced CA matrix for better clustering.

Clustering

Towards Effective Clustered Federated Learning: A Peer-to-peer Framework with Adaptive Neighbor Matching

no code implementations23 Mar 2022 Zexi Li, Jiaxun Lu, Shuang Luo, Didi Zhu, Yunfeng Shao, Yinchuan Li, Zhimeng Zhang, Yongheng Wang, Chao Wu

In the literature, centralized clustered FL algorithms require the assumption of the number of clusters and hence are not effective enough to explore the latent relationships among clients.

Federated Learning

Cannot find the paper you are looking for? You can Submit a new open access paper.