Search Results for author: Yifan Feng

Found 11 papers, 3 papers with code

Intelligent wayfinding vehicle design based on visual recognition

no code implementations21 Sep 2022 Zhanyu Guo, Shenyuan Guo, Jialong Wang, Yifan Feng

In this project, an intelligent drug delivery car is designed and manufactured, which can recognize the road route and the room number of the target ward through visual recognition technology.

Deep Hypergraph Structure Learning

no code implementations26 Aug 2022 Zizhao Zhang, Yifan Feng, Shihui Ying, Yue Gao

To address this issue, we design a general paradigm of deep hypergraph structure learning, namely DeepHGSL, to optimize the hypergraph structure for hypergraph-based representation learning.

Representation Learning

On A Mallows-type Model For (Ranked) Choices

no code implementations5 Jul 2022 Yifan Feng, Yuxuan Tang

In a preference learning setting, every participant chooses an ordered list of $k$ most preferred items among a displayed set of candidates.

Optimal Distribution Design for Irregular Repetition Slotted ALOHA with Multi-Packet Reception

no code implementations15 Oct 2021 Zhengchuan Chen, Yifan Feng, Chundie Feng, Liang Liang, Yunjian Jia, Tony Q. S. Quek

Associated with multi-packet reception at the access point, irregular repetition slotted ALOHA (IRSA) holds a great potential in improving the access capacity of massive machine type communication systems.

Dual Channel Hypergraph Collaborative Filtering

no code implementations SIGKDD 2020 Shuyi Ji, Yifan Feng, Rongrong Ji, Xibin Zhao, Wanwan Tang, Yue Gao.

Second, the hypergraph structure is employed for modeling users and items with explicit hybrid high-order correlations.

Collaborative Filtering Recommendation Systems

DHGNN: Dynamic Hypergraph Neural Networks

1 code implementation1 Jul 2019 Jianwen Jiang, Yuxuan Wei, Yifan Feng, Jingxuan Cao, Yue Gao

Then hypergraph convolution is introduced to encode high-order data relations in a hypergraph structure.

PVRNet: Point-View Relation Neural Network for 3D Shape Recognition

no code implementations2 Dec 2018 Haoxuan You, Yifan Feng, Xibin Zhao, Changqing Zou, Rongrong Ji, Yue Gao

More specifically, based on the relation score module, the point-single-view fusion feature is first extracted by fusing the point cloud feature and each single view feature with point-singe-view relation, then the point-multi-view fusion feature is extracted by fusing the point cloud feature and the features of different number of views with point-multi-view relation.

3D Shape Classification 3D Shape Recognition

MeshNet: Mesh Neural Network for 3D Shape Representation

2 code implementations28 Nov 2018 Yutong Feng, Yifan Feng, Haoxuan You, Xibin Zhao, Yue Gao

However, there is little effort on using mesh data in recent years, due to the complexity and irregularity of mesh data.

3D Shape Classification 3D Shape Representation +1

Hypergraph Neural Networks

1 code implementation25 Sep 2018 Yifan Feng, Haoxuan You, Zizhao Zhang, Rongrong Ji, Yue Gao

In this paper, we present a hypergraph neural networks (HGNN) framework for data representation learning, which can encode high-order data correlation in a hypergraph structure.

Object Recognition Representation Learning

PVNet: A Joint Convolutional Network of Point Cloud and Multi-View for 3D Shape Recognition

no code implementations23 Aug 2018 Haoxuan You, Yifan Feng, Rongrong Ji, Yue Gao

With the recent proliferation of deep learning, various deep models with different representations have achieved the state-of-the-art performance.

3D Object Recognition 3D Shape Classification +2

GVCNN: Group-View Convolutional Neural Networks for 3D Shape Recognition

no code implementations CVPR 2018 Yifan Feng, Zizhao Zhang, Xibin Zhao, Rongrong Ji, Yue Gao

The proposed GVCNN framework is composed of a hierarchical view-group-shape architecture, i. e., from the view level, the group level and the shape level, which are organized using a grouping strategy.

3D Shape Classification 3D Shape Recognition +1

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