Zeng, Hanqing

6 publications

NeurIPS 2025 S'MoRE: Structural Mixture of Residual Experts for Parameter-Efficient LLM Fine-Tuning Hanqing Zeng, Yinglong Xia, Zhuokai Zhao, Chuan Jiang, Qiang Zhang, Jiayi Liu, Qunshu Zhang, Lizhu Zhang, Xiangjun Fan, Benyu Zhang

ICLR 2024 Mixture of Weak and Strong Experts on Graphs Hanqing Zeng, Hanjia Lyu, Diyi Hu, Yinglong Xia, Jiebo Luo

TMLR 2024 On the Equivalence of Graph Convolution and Mixup Xiaotian Han, Hanqing Zeng, Yu Chen, Shaoliang Nie, Jingzhou Liu, Kanika Narang, Zahra Shakeri, Karthik Abinav Sankararaman, Song Jiang, Madian Khabsa, Qifan Wang, Xia Hu

ICML 2023 Generative Graph Dictionary Learning Zhichen Zeng, Ruike Zhu, Yinglong Xia, Hanqing Zeng, Hanghang Tong

NeurIPS 2021 Decoupling the Depth and Scope of Graph Neural Networks Hanqing Zeng, Muhan Zhang, Yinglong Xia, Ajitesh Srivastava, Andrey Malevich, Rajgopal Kannan, Viktor Prasanna, Long Jin, Ren Chen

ICLR 2020 GraphSAINT: Graph Sampling Based Inductive Learning Method Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor Prasanna