Search Results for author: Mingyuan Ma

Found 8 papers, 5 papers with code

Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models

1 code implementation12 Mar 2023 Zangwei Zheng, Mingyuan Ma, Kai Wang, Ziheng Qin, Xiangyu Yue, Yang You

To address this challenge, we propose a novel method ZSCL to prevent zero-shot transfer degradation in the continual learning of vision-language models in both feature and parameter space.

Class Incremental Learning Incremental Learning

PIDS: Joint Point Interaction-Dimension Search for 3D Point Cloud

1 code implementation28 Nov 2022 Tunhou Zhang, Mingyuan Ma, Feng Yan, Hai Li, Yiran Chen

In this work, we establish PIDS, a novel paradigm to jointly explore point interactions and point dimensions to serve semantic segmentation on point cloud data.

Neural Architecture Search Semantic Segmentation

Automated Mobile Attention KPConv Networks via A Wide & Deep Predictor

no code implementations29 Sep 2021 Tunhou Zhang, Mingyuan Ma, Feng Yan, Hai Li, Yiran Chen

MAKPConv employs a depthwise kernel to reduce resource consumption and re-calibrates the contribution of kernel points towards each neighbor point via Neighbor-Kernel attention to improve representation power.

3D Point Cloud Classification Feature Engineering +2

AEGCN: An Autoencoder-Constrained Graph Convolutional Network

1 code implementation3 Jul 2020 Mingyuan Ma, Sen Na, Hongyu Wang

In extensive experiments on citation networks and other heterogeneous graphs, we demonstrate that adding autoencoder constraints significantly improves the performance of graph convolutional networks.

Graph Attention Node Classification

Scalable Peaceman-Rachford Splitting Method with Proximal Terms

no code implementations14 Nov 2017 Sen Na, Mingyuan Ma, Mladen Kolar

Along with developing of Peaceman-Rachford Splittling Method (PRSM), many batch algorithms based on it have been studied very deeply.

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