Generation of two-axis countertwisting squeezed spin states via Uhrig dynamical decoupling. - Jiying Zhang; Shan Wu; Yongchang Zhang; Zhengwei Zhou (Sci. China Inf. Sci., 2021)

Diversified Multiscale Graph Learning with Graph Self-Correction. - Yuzhao Chen; Yatao Bian; Jiying Zhang; Xi Xiao; Tingyang Xu; Yu Rong 001; Junzhou Huang (CoRR, 2021)

Learnable Hypergraph Laplacian for Hypergraph Learning. - Jiying Zhang; Yuzhao Chen; Xi Xiao; Runiu Lu; Shu-Tao Xia (ICASSP, 2022)

Fine-Tuning Graph Neural Networks via Graph Topology Induced Optimal Transport. - Jiying Zhang; Xi Xiao; Long-Kai Huang; Yu Rong 001; Yatao Bian (IJCAI, 2022)

Diversified Multiscale Graph Learning with Graph Self-Correction. - Yuzhao Chen; Yatao Bian; Jiying Zhang; Xi Xiao; Tingyang Xu; Yu Rong 001 (TAG-ML, 2022)

Hypergraph Convolutional Networks via Equivalency between Hypergraphs and Undirected Graphs. - Jiying Zhang; Fuyang Li; Xi Xiao; Tingyang Xu; Yu Rong 001; Junzhou Huang; Yatao Bian (CoRR, 2022)

Preventing Over-Smoothing for Hypergraph Neural Networks. - Guanzi Chen; Jiying Zhang (CoRR, 2022)

GraphTTA: Test Time Adaptation on Graph Neural Networks. - Guanzi Chen; Jiying Zhang; Xi Xiao; Yang Li (CoRR, 2022)

A Simple Hypergraph Kernel Convolution based on Discounted Markov Diffusion Process. - Fuyang Li; Jiying Zhang; Xi Xiao; Bin Zhang 048; Dijun Luo (CoRR, 2022)

Heterogeneous information fusion based graph collaborative filtering recommendation. - Ruihui Mu; Xiaoqin Zeng; Jiying Zhang (Intell. Data Anal., 2023)

ImmuFold: High-Accuracy Antibody Structure Prediction with Efficient Network. - Shengyuan Bai; Zijing Liu; Jiying Zhang; Yu Li 003 (BIBM, 2024)

Efficient Antibody Structure Refinement Using Energy-Guided SE(3) Flow Matching. - Jiying Zhang; Zijing Liu; Shengyuan Bai; He Cao; Yu Li 003; Lei Zhang 001 (BIBM, 2024)

SubgDiff: A Subgraph Diffusion Model to Improve Molecular Representation Learning. - Jiying Zhang; Zijing Liu; Yu Wang; Bin Feng 001; Yu Li 003 (NeurIPS, 2024)

SubGDiff: A Subgraph Diffusion Model to Improve Molecular Representation Learning. - Jiying Zhang; Zijing Liu; Yu Wang; Yu Li 003 (CoRR, 2024)

ControlMol: Adding Substruture Control To Molecule Diffusion Models. - Zhengyang Qi; Zijing Liu; Jiying Zhang; He Cao; Yu Li 003 (CoRR, 2024)

ControlMol: Adding Substructure Control To Molecule Diffusion Models. - Zhengyang Qi; Zijing Liu; Jiying Zhang; He Cao; Xiaohua Xu; Yu Li 003 (ICASSP, 2025)

Graph Augmentation for Cross Graph Domain Generalization. - Guanzi Chen; Jiying Zhang; Yang Li (CoRR, 2025)

Enhanced Sampling, Public Dataset and Generative Model for Drug-Protein Dissociation Dynamics. - Maodong Li; Jiying Zhang; Bin Feng; Wenqi Zeng; Dechin Chen; Zhijun Pan; Yu Li; Zijing Liu; Yi Isaac Yang (CoRR, 2025)