Training Graph Neural Networks by Graphon Estimation. - Ziqing Hu; Yihao Fang; Lizhen Lin (IEEE BigData, 2021)

Energetic Variational Neural Network Discretizations to Gradient Flows. - Ziqing Hu; Chun Liu 009; Yiwei Wang; Zhiliang Xu (CoRR, 2022)

DCNet: Densely Connected Neural Network with Global Context for Abnormalities Prediction in Bronchoscopy Images. - Ying Wang; Yun Tie; Fenghui Liu; Lin Qi 001; Ziqing Hu (BIBM, 2023)

Topic Knowledge Based Controlled Generation for Long Documents Using Retrieval-Based Language Models. - Xuefei Zhang; Peiyang He; Tomal Deb; Guang Yang; Xuefeng Liu; Ziqing Hu; Tianyi Mao (FSDM, 2023)

Multi-Track Music Generation Network Based on a Hybrid Learning Module. - Donghui Zhang; Ziqing Hu; Xiaobing Li; Yun Tie; Lin Qi 001 (ICME Workshops, 2023)

Video Background Music Recommendation Based on Multi-Level Fusion Features. - Xin Zhao; Xiaobing Li; Yun Tie; Ziqing Hu; Lin Qi 001 (ICME Workshops, 2023)

Data Augmentation for Supervised Graph Outlier Detection with Latent Diffusion Models. - Kay Liu; Hengrui Zhang; Ziqing Hu; Fangxin Wang 003; Philip S. Yu (CoRR, 2023)

Graph Neural Prompting with Large Language Models. - Yijun Tian 001; Huan Song; Zichen Wang; Haozhu Wang; Ziqing Hu; Fang Wang; Nitesh V. Chawla; Panpan Xu (AAAI, 2024)

Data Augmentation for Supervised Graph Outlier Detection via Latent Diffusion Models. - Kay Liu; Hengrui Zhang; Ziqing Hu; Fangxin Wang 003; Philip S. Yu (LoG, 2024)

Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding - A Survey. - Xi Fang; Weijie Xu; Fiona Anting Tan; Jiani Zhang 003; Ziqing Hu; Yanjun Qi; Scott Nickleach; Diego Socolinsky; Srinivasan H. Sengamedu; Christos Faloutsos (CoRR, 2024)

Energetic Variational Neural Network Discretizations of Gradient Flows. - Ziqing Hu; Chun Liu 009; Yiwei Wang; Zhiliang Xu (SIAM J. Sci. Comput., 2024)

Large Language Models (LLMs) on Tabular Data: Prediction, Generation, and Understanding - A Survey. - Xi Fang; Weijie Xu; Fiona Anting Tan; Ziqing Hu; Jiani Zhang 003; Yanjun Qi; Srinivasan H. Sengamedu; Christos Faloutsos (Trans. Mach. Learn. Res., 2024)

Optimizing Robustness and Accuracy in Mixture of Experts: A Dual-Model Approach. - Xu Zhang; Kaidi Xu; Ziqing Hu; Ren Wang (CoRR, 2025)

Learning Rates of Deep Nets for Geometrically Strongly Mixing Sequence. - Yueyang Men; Liang Li; Ziqing Hu; Yongli Xu (IEEE Trans. Neural Networks Learn. Syst., 2025)