Chuang Liu

According to our database, Chuang Liu authored at least 17 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Graph explicit pooling for graph-level representation learning.

Chuang Liu, Wenhang Yu, Kuang Gao, Xueqi Ma, Yibing Zhan, Jia Wu, Wenbin Hu, Bo Du

Neural Networks, 2025

2024

Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks.

Chuang Liu, Xueqi Ma, Yibing Zhan, Liang Ding, Dapeng Tao, Bo Du, Wenbin Hu, Danilo P. Mandic

IEEE Trans. Neural Networks Learn. Syst., October, 2024

Exploring sparsity in graph transformers.

Chuang Liu, Yibing Zhan, Xueqi Ma, Liang Ding, Dapeng Tao, Jia Wu, Wenbin Hu, Bo Du

Neural Networks, 2024

Towards a better negative sampling strategy for dynamic graphs.

Kuang Gao, Chuang Liu, Jia Wu, Bo Du, Wenbin Hu

Neural Networks, 2024

Dual-perspective Cross Contrastive Learning in Graph Transformers.

Zelin Yao, Chuang Liu, Xueqi Ma, Mukun Chen, Jia Wu, Xiantao Cai, Bo Du, Wenbin Hu

CoRR, 2024

Hi-GMAE: Hierarchical Graph Masked Autoencoders.

Chuang Liu, Zelin Yao, Yibing Zhan, Xueqi Ma, Dapeng Tao, Jia Wu, Wenbin Hu, Shirui Pan, Bo Du

CoRR, 2024

Gradformer: Graph Transformer with Exponential Decay.

Chuang Liu, Zelin Yao, Yibing Zhan, Xueqi Ma, Shirui Pan, Wenbin Hu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders.

Chuang Liu, Yuyao Wang, Yibing Zhan, Xueqi Ma, Dapeng Tao, Jia Wu, Wenbin Hu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

A Debiased Graph Clustering Approach Using Dual Contrastive Learning.

Kuang Gao, Mukun Chen, Chuang Liu, Shan Xue, Zhenyu Qiu, Ting Ren, Xiaohua Jia, Wenbin Hu

Proceedings of the IEEE International Conference on Web Services, 2024

2023

On exploring node-feature and graph-structure diversities for node drop graph pooling.

Chuang Liu, Yibing Zhan, Baosheng Yu, Liu Liu, Bo Du, Wenbin Hu, Tongliang Liu

Neural Networks, October, 2023

Careful Selection and Thoughtful Discarding: Graph Explicit Pooling Utilizing Discarded Nodes.

Chuang Liu, Wenhang Yu, Kuang Gao, Xueqi Ma, Yibing Zhan, Jia Wu, Bo Du, Wenbin Hu

CoRR, 2023

Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities.

Chuang Liu, Yibing Zhan, Jia Wu, Chang Li, Bo Du, Wenbin Hu, Tongliang Liu, Dacheng Tao

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Gapformer: Graph Transformer with Graph Pooling for Node Classification.

Chuang Liu, Yibing Zhan, Xueqi Ma, Liang Ding, Dapeng Tao, Jia Wu, Wenbin Hu

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

Vega-MT: The JD Explore Academy Translation System for WMT22.

Changtong Zan, Keqin Peng, Liang Ding, Baopu Qiu, Boan Liu, Shwai He, Qingyu Lu, Zheng Zhang, Chuang Liu, Weifeng Liu, Yibing Zhan, Dacheng Tao

CoRR, 2022

Vega-MT: The JD Explore Academy Machine Translation System for WMT22.

Changtong Zan, Keqin Peng, Liang Ding, Baopu Qiu, Boan Liu, Shwai He, Qingyu Lu, Zheng Zhang, Chuang Liu, Weifeng Liu, Yibing Zhan, Dacheng Tao

Proceedings of the Seventh Conference on Machine Translation, 2022

Masked Graph Auto-Encoder Constrained Graph Pooling.

Chuang Liu, Yibing Zhan, Xueqi Ma, Dapeng Tao, Bo Du, Wenbin Hu

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

2021

Enhancing Graph Neural Networks by a High-quality Aggregation of Beneficial Information.

Chuang Liu, Jia Wu, Weiwei Liu, Wenbin Hu

Neural Networks, 2021