科学研究情况
1、承担项目情况
1. 基于健康大数据的智能医疗服务算法与应用，湖北省科技厅人工智能重大专项, 参与.
2. 基于孕期筛查大数据和人工智能技术的结构性出生缺陷早期诊断与干预研究, 国家科技部重点研发项目, 参与.
2、发表学术论文情况
完整论文列表可访问我的 谷歌学术主页 (https://scholar.google.com/citations?user=hQzjzekAAAAJ&hl=zh-CN)，
最新的个人研究动态和完整信息请查看我的 个人主页 (https://liuchuang0059.github.io/)
--------------------------------------------------
[1] Chuang Liu, Yibing Zhan, Xueqi Ma, Liang Ding, Dapeng Tao, Jia Wu, Wenbin Hu. Gapformer: Graph Transformer with Graph Pooling for Node Classification. International Joint Conference on Artificial Intelligence (IJCAI), 2023. (CCF A类会议)
[2] 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. International Joint Conference on Artificial Intelligence (IJCAI), 2023. (CCF A类会议)
[3] Chuang Liu, Zelin Yao, Yibing Zhan, Xueqi Ma, Shirui Pan, Wenbin Hu. Gradformer: Graph Transformer with Exponential Decay. International Joint Conference on Artificial Intelligence (IJCAI), 2024. (CCF A类会议)
[4] Chuang Liu, Yuyao Wang, Yibing Zhan, Xueqi Ma, Dapeng Tao, Jia Wu, Wenbin Hu. Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders. International Joint Conference on Artificial Intelligence (IJCAI), 2024. (CCF A类会议)
[5] Chuang Liu, Xueqi Ma, Yibing Zhan, Liang Ding, Dapeng Tao, Bo Du, Wenbin Hu, Danilo Mandic. Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks[J]. IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2023. (CCF B类, SCI 1区 Top期刊, 影响因子: 10.4)
[6] Chuang Liu, Jia Wu, Weiwei Liu, Wenbin Hu. Enhancing Graph Neural Networks by a High-quality Aggregation of Beneficial Information[J]. Neural Networks, 2021. (CCF B类, SCI 1区 Top期刊, 影响因子: 7.8)
[7] 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[J]. Neural Networks, 2023. (CCF B类, SCI 1区 Top期刊, 影响因子: 7.8)
[8] Chuang Liu, Yibing Zhan, Xueqi Ma, Liang Ding, Dapeng Tao, Jia Wu, Bo Du, Wenbin Hu. Exploring Sparsity in Graph Transformers[J]. Neural Networks, 2024. (CCF B类, SCI 1区 Top期刊, 影响因子: 7.8)
[9] Chuang Liu, Wenhang Yu, Yibing Zhan, Xueqi Ma, Liang Ding, Wenbin Hu. Careful Selection and Thoughtful Discarding: Graph Explicit Pooling Utilizing Discarded Nodes[J]. Neural Networks, 2024. (CCF B类, SCI 1区 Top期刊, 影响因子: 7.8)
[10] Chuang Liu, Yibing Zhan, Xueqi Ma, Dapeng Tao, Bo Du, Wenbin Hu. Masked Graph Auto-Encoder Constrained Graph Pooling. ECML-PKDD, 2022. (CCF B类会议)
[11] Chuang Liu, Zhongxing Li, Wenbin Hu, Lei Xing, Hao Peng. Range and dose verification in proton therapy using proton-induced positron emitters and recurrent neural networks (RNNs)[J]. Physics in Medicine \& Biology, 2019. (SCI 2区, 医学物理Top期刊)
[12] Kuang Gao, Chuang Liu, Jia Wu, Bo Du, Wenbin Hu. Toward Better Negative Sampling Strategy for Dynamic Graph[J]. Neural Networks, 2024. (CCF B类, SCI 1区 Top期刊, 影响因子: 7.8)
[13] Kuang Gao, Chuang Liu, Zhenyu Qiu, Xiahu, Jia, Wenbin Hu. GCDC: Debiased Graph Clustering with Dual Contrastive Learning. IEEE International Conference on Web Services (ICWS), 2024. (CCF B类会议)
[14] 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. WMT, 2022. (ACL国际顶级机器翻译比赛7项冠军)
3、获得授权专利情况
1. 模型训练方法和装置、图分类方法和装置. 詹忆冰，刘闯. 公开号: CN115860095A.
2. 图分类模型的训练方法、装置和图分类方法、装置. 詹忆冰，刘闯. 公开号: CN115965808A
3. 图池化、分类模型训练、重建模型训练方法和装置. 詹忆冰，刘闯. 公开号: CN114155410A
4、出版学术专著情况
