Yin, Rong

11 publications

NeurIPS 2025 SSTAG: Structure-Aware Self-Supervised Learning Method for Text-Attributed Graphs LiuRuyue, Rong Yin, Xiangzhen Bo, Xiaoshuai Hao, Yong Liu, Jinwen Zhong, Can Ma, Weiping Wang

ICML 2025 SafeMap: Robust HD mAP Construction from Incomplete Observations Xiaoshuai Hao, Lingdong Kong, Rong Yin, Pengwei Wang, Jing Zhang, Yunfeng Diao, Shu Zhao

AAAI 2024 ASWT-SGNN: Adaptive Spectral Wavelet Transform-Based Self-Supervised Graph Neural Network Ruyue Liu, Rong Yin, Yong Liu, Weiping Wang

ECCV 2024 MapDistill: Boosting Efficient Camera-Based HD mAP Construction via Camera-LiDAR Fusion Model Distillation Xiaoshuai Hao, Ruikai Li, Hui Zhang, Rong Yin, Dingzhe Li, Sangil Jung, Seung-In Park, ByungIn Yoo, Haimei Zhao, Jing Zhang

AAAI 2022 Distributed Randomized Sketching Kernel Learning Rong Yin, Yong Liu, Dan Meng

NeurIPS 2022 Randomized Sketches for Clustering: Fast and Optimal Kernel $k$-Means Rong Yin, Yong Liu, Weiping Wang, Dan Meng

ICML 2021 Distributed Nyström Kernel Learning with Communications Rong Yin, Weiping Wang, Dan Meng

AAAI 2020 Divide-and-Conquer Learning with Nyström: Optimal Rate and Algorithm Rong Yin, Yong Liu, Lijing Lu, Weiping Wang, Dan Meng

IJCAI 2019 Approximate Manifold Regularization: Scalable Algorithm and Generalization Analysis Jian Li, Yong Liu, Rong Yin, Weiping Wang

IJCAI 2019 Multi-Class Learning Using Unlabeled Samples: Theory and Algorithm Jian Li, Yong Liu, Rong Yin, Weiping Wang

NeurIPS 2018 Multi-Class Learning: From Theory to Algorithm Jian Li, Yong Liu, Rong Yin, Hua Zhang, Lizhong Ding, Weiping Wang