Search Results for author: Jinpeng Chen

Found 9 papers, 3 papers with code

Query-guided Prototype Evolution Network for Few-Shot Segmentation

no code implementations11 Mar 2024 Runmin Cong, Hang Xiong, Jinpeng Chen, Wei zhang, Qingming Huang, Yao Zhao

To address this, we present the Query-guided Prototype Evolution Network (QPENet), a new method that integrates query features into the generation process of foreground and background prototypes, thereby yielding customized prototypes attuned to specific queries.

Segmentation

SDDNet: Style-guided Dual-layer Disentanglement Network for Shadow Detection

1 code implementation17 Aug 2023 Runmin Cong, Yuchen Guan, Jinpeng Chen, Wei zhang, Yao Zhao, Sam Kwong

Despite significant progress in shadow detection, current methods still struggle with the adverse impact of background color, which may lead to errors when shadows are present on complex backgrounds.

Disentanglement Shadow Detection

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

Nearest Neighbor Classifier with Margin Penalty for Active Learning

1 code implementation17 Mar 2022 Yuan Cao, Zhiqiao Gao, Jie Hu, MingChuan Yang, Jinpeng Chen

As a result, informative samples in the margin area can not be discovered and AL performance are damaged.

Active Learning

GIR Framework: Learning Graph Positional Embeddings with Anchor Indication and Path Encoding

no code implementations29 Sep 2021 Yuheng Lu, Jinpeng Chen, Chuxiong Sun, Jie Hu

In this work, we propose a novel framework which follows the anchor-based idea and aims at conveying distance information implicitly along the MPNN message passing steps for encoding position information, node attributes, and graph structure in a more flexible way.

Position

SR-HetGNN:Session-based Recommendation with Heterogeneous Graph Neural Network

no code implementations12 Aug 2021 Jinpeng Chen, Haiyang Li, Xudong Zhang, Fan Zhang, Senzhang Wang, Kaimin Wei, Jiaqi Ji

The current studies generally learn user preferences according to the transitions of items in the user's session sequence.

Session-Based Recommendations

Graph Inference Representation: Learning Graph Positional Embeddings with Anchor Path Encoding

no code implementations9 May 2021 Yuheng Lu, Jinpeng Chen, Chuxiong Sun, Jie Hu

We show that GIRs get outperformed results in position-aware scenarios, and performances on typical GNNs could be improved by fusing GIR embeddings.

Position Representation Learning

CelebHair: A New Large-Scale Dataset for Hairstyle Recommendation based on CelebA

no code implementations14 Apr 2021 Yutao Chen, Yuxuan Zhang, Zhongrui Huang, Zhenyao Luo, Jinpeng Chen

In this paper, we present a new large-scale dataset for hairstyle recommendation, CelebHair, based on the celebrity facial attributes dataset, CelebA.

Facial Landmark Detection

Adaptive Graph Diffusion Networks

1 code implementation30 Dec 2020 Chuxiong Sun, Jie Hu, Hongming Gu, Jinpeng Chen, MingChuan Yang

Until the date of submission (Aug 26, 2022), AGDNs achieve top-1 performance on the ogbn-arxiv, ogbn-proteins and ogbl-ddi datasets and top-3 performance on the ogbl-citation2 dataset.

Link Prediction Node Classification +1

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