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Chuang Liu 0008
Person information
- affiliation: Wuhan University, China
Other persons with the same name
- Chuang Liu — disambiguation page
- Chuang Liu 0001 — Hangzhou Normal University, Alibaba Research Center for Complexity Sciences, China (and 1 more)
- Chuang Liu 0002 — Dalian University of Technology, Faculty of Electronic Information and Electrical Engineering, China
- Chuang Liu 0003 — King's College London, Department of Informatics, UK
- Chuang Liu 0004 — Northwestern Polytechnical University, School of Astronautics, National Key Laboratory of Aerospace Flight Dynamics, Xi'an, China (and 1 more)
- Chuang Liu 0005 — Northwestern Polytechnical University, School of Mechanical Engineering, Xi'an, China
- Chuang Liu 0006 — Microsoft (and 1 more)
- Chuang Liu 0007 — Harbin Institute of Technology, Shenzhen Graduate School, Shenzhen Key Laboratory of Internet Information Collaboration, China
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Journal Articles
- 2024
- [j5]Kuang Gao, Chuang Liu, Jia Wu, Bo Du, Wenbin Hu:
Towards a better negative sampling strategy for dynamic graphs. Neural Networks 173: 106175 (2024) - [j4]Chuang Liu, Yibing Zhan, Xueqi Ma, Liang Ding, Dapeng Tao, Jia Wu, Wenbin Hu, Bo Du:
Exploring sparsity in graph transformers. Neural Networks 174: 106265 (2024) - [j3]Chuang Liu, Xueqi Ma, Yibing Zhan, Liang Ding, Dapeng Tao, Bo Du, Wenbin Hu, Danilo P. Mandic:
Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14903-14917 (2024) - 2023
- [j2]Chuang Liu, Yibing Zhan, Baosheng Yu, Liu Liu, Bo Du, Wenbin Hu, Tongliang Liu:
On exploring node-feature and graph-structure diversities for node drop graph pooling. Neural Networks 167: 559-571 (2023) - 2021
- [j1]Chuang Liu, Jia Wu, Weiwei Liu, Wenbin Hu:
Enhancing Graph Neural Networks by a High-quality Aggregation of Beneficial Information. Neural Networks 142: 20-33 (2021)
Conference and Workshop Papers
- 2024
- [c7]Kuang Gao, Mukun Chen, Chuang Liu, Shan Xue, Zhenyu Qiu, Ting Ren, Xiaohua Jia, Wenbin Hu:
A Debiased Graph Clustering Approach Using Dual Contrastive Learning. ICWS 2024: 1198-1205 - [c6]Chuang Liu, Zelin Yao, Yibing Zhan, Xueqi Ma, Shirui Pan, Wenbin Hu:
Gradformer: Graph Transformer with Exponential Decay. IJCAI 2024: 2171-2179 - [c5]Chuang Liu, Yuyao Wang, Yibing Zhan, Xueqi Ma, Dapeng Tao, Jia Wu, Wenbin Hu:
Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders. IJCAI 2024: 2180-2188 - 2023
- [c4]Chuang Liu, Yibing Zhan, Xueqi Ma, Liang Ding, Dapeng Tao, Jia Wu, Wenbin Hu:
Gapformer: Graph Transformer with Graph Pooling for Node Classification. IJCAI 2023: 2196-2205 - [c3]Chuang Liu, Yibing Zhan, Jia Wu, Chang Li, Bo Du, Wenbin Hu, Tongliang Liu, Dacheng Tao:
Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities. IJCAI 2023: 6712-6722 - 2022
- [c2]Chuang Liu, Yibing Zhan, Xueqi Ma, Dapeng Tao, Bo Du, Wenbin Hu:
Masked Graph Auto-Encoder Constrained Graph Pooling. ECML/PKDD (2) 2022: 377-393 - [c1]Changtong Zan, Keqin Peng, Liang Ding, Baopu Qiu, Boan Liu, Shwai He, Qingyu Lu, Zheng Zhang, Chuang Liu, Weifeng Liu, Yibing Zhan, Dacheng Tao:
Vega-MT: The JD Explore Academy Machine Translation System for WMT22. WMT 2022: 411-422
Informal and Other Publications
- 2024
- [i10]Chuang Liu, Zelin Yao, Yibing Zhan, Xueqi Ma, Shirui Pan, Wenbin Hu:
Gradformer: Graph Transformer with Exponential Decay. CoRR abs/2404.15729 (2024) - [i9]Chuang Liu, Yuyao Wang, Yibing Zhan, Xueqi Ma, Dapeng Tao, Jia Wu, Wenbin Hu:
Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders. CoRR abs/2404.15806 (2024) - [i8]Chuang Liu, Zelin Yao, Yibing Zhan, Xueqi Ma, Dapeng Tao, Jia Wu, Wenbin Hu, Shirui Pan, Bo Du:
Hi-GMAE: Hierarchical Graph Masked Autoencoders. CoRR abs/2405.10642 (2024) - [i7]Zelin Yao, Chuang Liu, Xueqi Ma, Mukun Chen, Jia Wu, Xiantao Cai, Bo Du, Wenbin Hu:
Dual-perspective Cross Contrastive Learning in Graph Transformers. CoRR abs/2406.00403 (2024) - 2023
- [i6]Chuang Liu, Yibing Zhan, Baosheng Yu, Liu Liu, Bo Du, Wenbin Hu, Tongliang Liu:
On Exploring Node-feature and Graph-structure Diversities for Node Drop Graph Pooling. CoRR abs/2306.12726 (2023) - [i5]Chuang Liu, Wenhang Yu, Kuang Gao, Xueqi Ma, Yibing Zhan, Jia Wu, Bo Du, Wenbin Hu:
Careful Selection and Thoughtful Discarding: Graph Explicit Pooling Utilizing Discarded Nodes. CoRR abs/2311.12644 (2023) - [i4]Chuang Liu, Yibing Zhan, Xueqi Ma, Liang Ding, Dapeng Tao, Jia Wu, Wenbin Hu, Bo Du:
Exploring Sparsity in Graph Transformers. CoRR abs/2312.05479 (2023) - 2022
- [i3]Chuang Liu, Yibing Zhan, Chang Li, Bo Du, Jia Wu, Wenbin Hu, Tongliang Liu, Dacheng Tao:
Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities. CoRR abs/2204.07321 (2022) - [i2]Chuang Liu, Xueqi Ma, Yibing Zhan, Liang Ding, Dapeng Tao, Bo Du, Wenbin Hu, Danilo P. Mandic:
Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks. CoRR abs/2207.08629 (2022) - [i1]Changtong Zan, Keqin Peng, Liang Ding, Baopu Qiu, Boan Liu, Shwai He, Qingyu Lu, Zheng Zhang, Chuang Liu, Weifeng Liu, Yibing Zhan, Dacheng Tao:
Vega-MT: The JD Explore Academy Translation System for WMT22. CoRR abs/2209.09444 (2022)
Coauthor Index
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