Chuang Liu

Chuang Liu

PhD candidate

Publications

(* Equal Contribution)

2024

  1. Debiased Graph Clustering with Dual Contrastive Learning [Paper]
    Kuang Gao, Mukun Chen, Chuang Liu, Zhenyu Qiu, Xiahu, Jia, Wenbin Hu
    IEEE International Conference on Web Services
    IEEE ICWS 2024, CCF-B

  2. Exploring sparsity in graph transformers [Paper]
    Chuang Liu, Yibing Zhan, Xueqi Ma, Liang Ding, Dapeng Tao, Jia Wu, Wenbin Hu, Bo Du
    Neural Networks 2024, CCF-B, JCR Q1, IF=7.8

  3. Towards a better negative sampling strategy for dynamic graphs [Paper]
    Kuang Gao, Chuang Liu, Jia Wu, Bo Du, Wenbin Hu
    Neural Networks 2024, CCF-B, JCR Q1, IF=7.8

  4. Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders [Paper]
    Chuang Liu, Yuyao Wang, Yibing Zhan, Xueqi Ma, Dapeng Tao, Jia Wu, Wenbin Hu
    International Joint Conference on Artificial Intelligence
    IJCAI 2024, CCF-A

  5. Gradformer: Graph Transformer with Exponential Decay [Paper]
    Chuang Liu, Zelin Yao, Yibing Zhan, Xueqi Ma, Shirui Pan, Wenbin Hu
    International Joint Conference on Artificial Intelligence
    IJCAI 2024, CCF-A

2023

  1. On exploring node-feature and graph-structure diversities for node drop graph pooling [Paper]
    Chuang Liu, Yibing Zhan, Baosheng Yu, Liu Liu, Bo Du, Wenbin Hu, Tongliang Liu
    Neural Networks 2023, CCF-B, JCR Q1, IF=7.8

  2. Gapformer: Graph transformer with graph pooling for node classification [Paper]
    Chuang Liu, Yibing Zhan, Xueqi Ma, Liang Ding, Dapeng Tao, Jia Wu, Wenbin Hu
    International Joint Conference on Artificial Intelligence
    IJCAI 2023, CCF-A

  3. Graph pooling for graph neural networks: Progress, challenges, and opportunities [Paper]
    Chuang Liu, Yibing Zhan, Jia Wu, Chang Li, Bo Du, Wenbin Hu, Tongliang Liu, Dacheng Tao
    International Joint Conference on Artificial Intelligence
    IJCAI 2023, CCF-A

  4. Comprehensive graph gradual pruning for sparse training in graph neural networks [Paper]
    Chuang Liu, Xueqi Ma, Yibing Zhan, Liang Ding, Dapeng Tao, Bo Du, Wenbin Hu, Danilo P Mandic
    IEEE Transactions on Neural Networks and Learning Systems
    IEEE TNNLS 2023, CCF-B, JCR Q1, IF=10.2

2022

  1. Vega-MT: The JD explore academy machine translation system for WMT22 [Paper]
    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
    WMT 2022, CCF-A

  2. Masked graph auto-encoder constrained graph pooling [Paper]
    Chuang Liu, Yibing Zhan, Xueqi Ma, Dapeng Tao, Bo Du, Wenbin Hu
    Joint European Conference on Machine Learning and Knowledge Discovery in Databases
    ECML-PKDD 2022, CCF-B

2021

  1. Enhancing graph neural networks by a high-quality aggregation of beneficial information [Paper]
    Chuang Liu, Jia Wu, Weiwei Liu, Wenbin Hu
    Neural Networks 2021, CCF-B, JCR Q1, IF=7.8

  2. Range and dose verification in proton therapy using proton-induced positron emitters and recurrent neural networks [Paper]
    Chuang Liu, Zhongxing Li, Wenbin Hu, Lei Xing, Hao Peng
    Physics in Medicine & Biology 2021, JCR Q2, IF=2.8