Rong Yin

40 papers A* 11A 2B 3C 2Journal 20Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
FedNK-RF: Federated Kernel Learning With Heterogeneous Data and Optimal Rates.
IEEE Trans. Neural Networks Learn. Syst.
Xuning Zhang, Jian Li, Rong Yin, Weiping Wang
2025 J jnl
AS-GCL: Asymmetric Spectral Augmentation on Graph Contrastive Learning.
CoRR
Ruyue Liu, Rong Yin, Yong Liu, Xiaoshuai Hao, Haichao Shi, Can Ma, Weiping Wang
2025 J jnl
AS-GCL: Asymmetric Spectral Augmentation on Graph Contrastive Learning.
IEEE Trans. Multim.
Ruyue Liu, Rong Yin, Yong Liu, Xiaoshuai Hao, Haichao Shi, Can Ma, Weiping Wang
2025 B conf
Improving Mathematical Reasoning Abilities of Small Language Models via Key-Point-Driven Distillation.
IJCNN
Xunyu Zhu, Jian Li, Rong Yin, Can Ma, Weiping Wang
2025 B conf
Improving Mathematical Reasoning Capabilities of Small Language Models via Feedback-Driven Distillation.
IJCNN
Xunyu Zhu, Jian Li, Rong Yin, Can Ma, Weiping Wang
2025 A conf
MSC-Bench: Benchmarking and Analyzing Multi-Sensor Corruption for Driving Perception.
ICME
Xiaoshuai Hao, Guanqun Liu, Yuting Zhao, Yuheng Ji, Mengchuan Wei, Haimei Zhao, Lingdong Kong, Rong Yin, Yu Liu
2025 J jnl
MSC-Bench: Benchmarking and Analyzing Multi-Sensor Corruption for Driving Perception.
CoRR
Xiaoshuai Hao, Guanqun Liu, Yuting Zhao, Yuheng Ji, Mengchuan Wei, Haimei Zhao, Lingdong Kong, Rong Yin, Yu Liu
2025 J jnl
MapFusion: A Novel BEV Feature Fusion Network for Multi-modal Map Construction.
CoRR
Xiaoshuai Hao, Yunfeng Diao, Mengchuan Wei, Yifan Yang, Peng Hao, Rong Yin, Hui Zhang, Weiming Li, Shu Zhao, Yu Liu
2025 J jnl
MapFusion: A novel BEV feature fusion network for multi-modal map construction.
Inf. Fusion
Xiaoshuai Hao, Yunfeng Diao, Mengchuan Wei, Yifan Yang, Peng Hao, Rong Yin, Hui Zhang, Weiming Li, Shu Zhao, Yu Liu
2025 J jnl
Multi-Modal Molecular Representation Learning via Structure Awareness.
CoRR
Rong Yin, Ruyue Liu, Xiaoshuai Hao, Xingrui Zhou, Yong Liu, Can Ma, Weiping Wang
2025 J jnl
Multi-Modal Molecular Representation Learning via Structure Awareness.
IEEE Trans. Image Process.
Rong Yin, Ruyue Liu, Xiaoshuai Hao, Xingrui Zhou, Yong Liu, Can Ma, Weiping Wang
2025 J jnl
SSTAG: Structure-Aware Self-Supervised Learning Method for Text-Attributed Graphs.
CoRR
Ruyue Liu, Rong Yin, Xiangzhen Bo, Xiaoshuai Hao, Yong Liu, Jinwen Zhong, Can Ma, Weiping Wang
2025 A* conf
SafeMap: Robust HD Map Construction from Incomplete Observations.
ICML
Xiaoshuai Hao, Lingdong Kong, Rong Yin, Pengwei Wang, Jing Zhang, Yunfeng Diao, Shu Zhao
2025 J jnl
SafeMap: Robust HD Map Construction from Incomplete Observations.
CoRR
Xiaoshuai Hao, Lingdong Kong, Rong Yin, Pengwei Wang, Jing Zhang, Yunfeng Diao, Shu Zhao
2025 A conf
What Really Matters for Robust Multi-Sensor HD Map Construction?
IROS
Xiaoshuai Hao, Yuting Zhao, Yuheng Ji, Luanyuan Dai, Peng Hao, Dingzhe Li, Shuai Cheng, Rong Yin
2025 J jnl
What Really Matters for Robust Multi-Sensor HD Map Construction?
CoRR
Xiaoshuai Hao, Yuting Zhao, Yuheng Ji, Luanyuan Dai, Peng Hao, Dingzhe Li, Shuai Cheng, Rong Yin
2024 A* conf
ASWT-SGNN: Adaptive Spectral Wavelet Transform-Based Self-Supervised Graph Neural Network.
AAAI
Ruyue Liu, Rong Yin, Yong Liu, Weiping Wang
2024 J jnl
Communication-Efficient Personalized Federal Graph Learning via Low-Rank Decomposition.
CoRR
Ruyue Liu, Rong Yin, Xiangzhen Bo, Xiaoshuai Hao, Xingrui Zhou, Yong Liu, Can Ma, Weiping Wang
2024 A* conf
FTF-ER: Feature-Topology Fusion-Based Experience Replay Method for Continual Graph Learning.
ACM Multimedia
Jinhui Pang, Changqing Lin, Xiaoshuai Hao, Rong Yin, Zixuan Wang, Zhihui Zhang, Jinglin He, Huang Tai Sheng
2024 J jnl
FTF-ER: Feature-Topology Fusion-Based Experience Replay Method for Continual Graph Learning.
CoRR
Jinhui Pang, Changqing Lin, Xiaoshuai Hao, Rong Yin, Zixuan Wang, Zhihui Zhang, Jinglin He, Huang Tai Sheng
2024 — conf
MapDistill: Boosting Efficient Camera-Based HD Map Construction via Camera-LiDAR Fusion Model Distillation.
ECCV (3)
Xiaoshuai Hao, Ruikai Li, Hui Zhang, Dingzhe Li, Rong Yin, Sangil Jung, Seung-In Park, ByungIn Yoo, Haimei Zhao, Jing Zhang
2024 J jnl
MapDistill: Boosting Efficient Camera-based HD Map Construction via Camera-LiDAR Fusion Model Distillation.
CoRR
Xiaoshuai Hao, Ruikai Li, Hui Zhang, Dingzhe Li, Rong Yin, Sangil Jung, Seung-In Park, ByungIn Yoo, Haimei Zhao, Jing Zhang
2024 J jnl
Unbiased and augmentation-free self-supervised graph representation learning.
Pattern Recognit.
Ruyue Liu, Rong Yin, Yong Liu, Weiping Wang
2023 J jnl
ASWT-SGNN: Adaptive Spectral Wavelet Transform-based Self-Supervised Graph Neural Network.
CoRR
Ruyue Liu, Rong Yin, Yong Liu, Weiping Wang
2023 J jnl
Scalable Kernel $k$-Means With Randomized Sketching: From Theory to Algorithm.
IEEE Trans. Knowl. Data Eng.
Rong Yin, Yong Liu, Weiping Wang, Dan Meng
2022 A* conf
Distributed Randomized Sketching Kernel Learning.
AAAI
Rong Yin, Yong Liu, Dan Meng
2022 A* conf
Randomized Sketches for Clustering: Fast and Optimal Kernel $k$-Means.
NeurIPS
Rong Yin, Yong Liu, Weiping Wang, Dan Meng
2022 J jnl
Triangle Counting Accelerations: From Algorithm to In-Memory Computing Architecture.
IEEE Trans. Computers
Xueyan Wang, Jianlei Yang, Yinglin Zhao, Xiaotao Jia, Rong Yin, Xuhang Chen, Gang Qu, Weisheng Zhao
2021 A* conf
Distributed Nyström Kernel Learning with Communications.
ICML
Rong Yin, Yong Liu, Weiping Wang, Dan Meng
2021 J jnl
Triangle Counting Accelerations: From Algorithm to In-Memory Computing Architecture.
CoRR
Xueyan Wang, Jianlei Yang, Yinglin Zhao, Xiaotao Jia, Rong Yin, Xuhang Chen, Gang Qu, Weisheng Zhao
2020 A* conf
Divide-and-Conquer Learning with Nyström: Optimal Rate and Algorithm.
AAAI
Rong Yin, Yong Liu, Lijing Lu, Weiping Wang, Dan Meng
2020 A* conf
Extremely Sparse Johnson-Lindenstrauss Transform: From Theory to Algorithm.
ICDM
Rong Yin, Yong Liu, Weiping Wang, Dan Meng
2020 — conf
Hashing Based Prediction for Large-Scale Kernel Machine.
ICCS (2)
Lijing Lu, Rong Yin, Yong Liu, Weiping Wang
2020 J jnl
Sketch Kernel Ridge Regression Using Circulant Matrix: Algorithm and Theory.
IEEE Trans. Neural Networks Learn. Syst.
Rong Yin, Yong Liu, Weiping Wang, Dan Meng
2019 A* conf
Approximate Manifold Regularization: Scalable Algorithm and Generalization Analysis.
IJCAI
Jian Li, Yong Liu, Rong Yin, Weiping Wang
2019 A* conf
Multi-Class Learning using Unlabeled Samples: Theory and Algorithm.
IJCAI
Jian Li, Yong Liu, Rong Yin, Weiping Wang
2018 A* conf
Multi-Class Learning: From Theory to Algorithm.
NeurIPS
Jian Li, Yong Liu, Rong Yin, Hua Zhang, Lizhong Ding, Weiping Wang
2015 B conf
A Stable and Distributed Community Detection Algorithm Based on Maximal Cliques.
SMC
Feng Gui, Yunlong Ma, Feng Zhang, Min Liu, Rong Yin, Weiming Shen
2015 C conf
Communication model of embedded multi-protocol gateway for MRO online monitoring system.
CSCWD
Rong Yin, Feng Zhang, Min Liu, Feng Gui, Fei Li, Weiming Shen
2014 C conf
Multi-feature fusion for image segmentation based on granular theory.
CSCWD
Rong Yin, Min Liu, Feng Zhang, Wei Wu