Dense Convolutional Binary-Tree Networks for Lung Nodule Classification. - Yijing Liu 003; Pengyi Hao; Peng Zhang 043; Xinnan Xu; Jian Wu 001; Wei Chen 001 (IEEE Access, 2018)

GraphFederator: Federated Visual Analysis for Multi-party Graphs. - Dongming Han; Wei Chen 001; Rusheng Pan; Yijing Liu 003; Jiehui Zhou; Ying Xu; Tianye Zhang; Changjie Fan; Jianrong Tao; Xiaolong Luke Zhang (CoRR, 2020)

Multivariate Time-Series Forecasting with Temporal Polynomial Graph Neural Networks. - Yijing Liu 003; Qinxian Liu; Jian-Wei Zhang 015; Haozhe Feng; Zhongwei Wang; Zihan Zhou 009; Wei Chen 001 (NeurIPS, 2022)

Federated Multi-task Graph Learning. - Yijing Liu 003; Dongming Han; Jianwei Zhang 015; Haiyang Zhu; Mingliang Xu 001; Wei Chen 001 (ACM Trans. Intell. Syst. Technol., 2022)

Fully Exploiting Every Real Sample: SuperPixel Sample Gradient Model Stealing. - Yunlong Zhao 003; Xiaoheng Deng; Yijing Liu 003; Xinjun Pei; Jiazhi Xia; Wei Chen 001 (CVPR, 2024)

Graph Diffusion Policy Optimization. - Yijing Liu 003; Chao Du; Tianyu Pang; Chongxuan Li; Min Lin; Wei Chen 001 (NeurIPS, 2024)

GraphFederator: Federated Visual Analysis for Multi-party Graphs. - Dongming Han; Haiyang Zhu; Wei Chen 001; Rusheng Pan; Yijing Liu 003; Jiehui Zhou; Haozhe Feng; Tianye Zhang; Xumeng Wang; Minfeng Zhu 001; Jianrong Tao; Changjie Fan; et al. (PacificVis, 2024)

MetaDD: Boosting Dataset Distillation with Neural Network Architecture-Invariant Generalization. - Yunlong Zhao 003; Xiaoheng Deng; Xiu Su; Hongyan Xu 002; Xiuxing Li; Yijing Liu 003; Shan You (CoRR, 2024)

RG3: Mitigating Memorization of Graph Diffusion Model in One Denoising Step. - Li Zheng; Yijing Liu 003; Hang Zhu; Minfeng Zhu 001; Wei Chen 001 (ICIC (10), 2025)

DTCR: Enhanced Graph Diffusion Models Alignment by Policy Gradient Regularization. - Hang Zhu; Yijing Liu 003; Li Zheng; Shi Liu; Wei Chen 001 (IJCNN, 2025)