Enhancing Graph Neural Networks by a High-quality Aggregation of Beneficial Information. - Chuang Liu 008; Jia Wu 001; Weiwei Liu 003; Wenbin Hu 001 (Neural Networks, 2021)

Masked Graph Auto-Encoder Constrained Graph Pooling. - Chuang Liu 008; Yibing Zhan; Xueqi Ma; Dapeng Tao; Bo Du 001; Wenbin Hu 001 (ECML/PKDD (2), 2022)

Vega-MT: The JD Explore Academy Machine Translation System for WMT22. - Changtong Zan; Keqin Peng; Liang Ding 006; Baopu Qiu; Boan Liu; Shwai He; Qingyu Lu; Zheng Zhang 036; Chuang Liu 008; Weifeng Liu 001; Yibing Zhan; Dacheng Tao (WMT, 2022)

Vega-MT: The JD Explore Academy Translation System for WMT22. - Changtong Zan; Keqin Peng; Liang Ding 006; Baopu Qiu; Boan Liu; Shwai He; Qingyu Lu; Zheng Zhang 036; Chuang Liu 008; Weifeng Liu 001; Yibing Zhan; Dacheng Tao (CoRR, 2022)

Gapformer: Graph Transformer with Graph Pooling for Node Classification. - Chuang Liu 008; Yibing Zhan; Xueqi Ma; Liang Ding 006; Dapeng Tao; Jia Wu 001; Wenbin Hu 001 (IJCAI, 2023)

Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities. - Chuang Liu 008; Yibing Zhan; Jia Wu 001; Chang Li; Bo Du 001; Wenbin Hu 001; Tongliang Liu; Dacheng Tao (IJCAI, 2023)

Careful Selection and Thoughtful Discarding: Graph Explicit Pooling Utilizing Discarded Nodes. - Chuang Liu 008; Wenhang Yu; Kuang Gao; Xueqi Ma; Yibing Zhan; Jia Wu 001; Bo Du 001; Wenbin Hu 001 (CoRR, 2023)

On exploring node-feature and graph-structure diversities for node drop graph pooling. - Chuang Liu 008; Yibing Zhan; Baosheng Yu; Liu Liu 014; Bo Du 001; Wenbin Hu 001; Tongliang Liu (Neural Networks, 2023)

A Debiased Graph Clustering Approach Using Dual Contrastive Learning. - Kuang Gao; Mukun Chen; Chuang Liu 008; Shan Xue 001; Zhenyu Qiu; Ting Ren; Xiaohua Jia; Wenbin Hu 001 (ICWS, 2024)

Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders. - Chuang Liu 008; Yuyao Wang; Yibing Zhan; Xueqi Ma; Dapeng Tao; Jia Wu 001; Wenbin Hu 001 (IJCAI, 2024)

Gradformer: Graph Transformer with Exponential Decay. - Chuang Liu 008; Zelin Yao; Yibing Zhan; Xueqi Ma; Shirui Pan; Wenbin Hu 001 (IJCAI, 2024)

Hi-GMAE: Hierarchical Graph Masked Autoencoders. - Chuang Liu 008; Zelin Yao; Yibing Zhan; Xueqi Ma; Dapeng Tao; Jia Wu 001; Wenbin Hu 001; Shirui Pan; Bo Du 001 (CoRR, 2024)

Dual-perspective Cross Contrastive Learning in Graph Transformers. - Zelin Yao; Chuang Liu 008; Xueqi Ma; Mukun Chen; Jia Wu 001; Xiantao Cai; Bo Du 001; Wenbin Hu 001 (CoRR, 2024)

DA-MoE: Addressing Depth-Sensitivity in Graph-Level Analysis through Mixture of Experts. - Zelin Yao; Chuang Liu 008; Xianke Meng; Yibing Zhan; Jia Wu 001; Shirui Pan; Wenbin Hu 001 (CoRR, 2024)

Towards a better negative sampling strategy for dynamic graphs. - Kuang Gao; Chuang Liu 008; Jia Wu 001; Bo Du 001; Wenbin Hu 001 (Neural Networks, 2024)

Exploring sparsity in graph transformers. - Chuang Liu 008; Yibing Zhan; Xueqi Ma; Liang Ding 006; Dapeng Tao; Jia Wu 001; Wenbin Hu 001; Bo Du 001 (Neural Networks, 2024)

Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks. - Chuang Liu 008; Xueqi Ma; Yibing Zhan; Liang Ding 006; Dapeng Tao; Bo Du 001; Wenbin Hu 001; Danilo P. Mandic (IEEE Trans. Neural Networks Learn. Syst., 2024)

Graph explicit pooling for graph-level representation learning. - Chuang Liu 008; Wenhang Yu; Kuang Gao; Xueqi Ma; Yibing Zhan; Jia Wu 001; Wenbin Hu 001; Bo Du 001 (Neural Networks, 2025)