Yong Liu 0018 - researchr alias

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Viewing Publication 1 - 45 from 45

2025

Multi-Modal Molecular Representation Learning via Structure AwarenessRong Yin 0001, Ruyue Liu, Xiaoshuai Hao, Xingrui Zhou, Yong Liu 0018, Can Ma, Weiping Wang 0005. TIP, 34:3225-3238, 2025. [doi]

AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution GeneralizationXiao Zhang 0034, Sunhao Dai, Jun Xu 0001, Yong Liu 0018, Zhenhua Dong. AAAI 2025: 22596-22604 [doi]

Optimal Convergence for Agnostic Kernel Learning With Random FeaturesJian Li 0040, Yong Liu 0018, Weiping Wang 0005. tnn, 36(1):1779-1789, January 2025. [doi]

PATNAS: A Path-Based Training-Free Neural Architecture SearchJiechao Yang, Yong Liu 0018, Wei Wang 0315, Haoran Wu, Zhiyuan Chen, Xibo Ma. pami, 47(3):1484-1500, March 2025. [doi]

2024

Towards sharper excess risk bounds for differentially private pairwise learningYilin Kang 0002, Jian Li 0040, Yong Liu 0018, Weiping Wang 0005. ijon, 610:128610, 2024. [doi]

Optimal Rates for Agnostic Distributed LearningJian Li 0040, Yong Liu 0018, Weiping Wang. TIT, 70(4):2759-2778, April 2024. [doi]

IdmGAE: Importance-Inspired Dynamic Masking for Graph AutoencodersGe Chen, Yulan Hu, Sheng Ouyang, Zhirui Yang, Yong Liu 0018, Cuicui Luo. sigir 2024: 2457-2461 [doi]

Advancing Latent Representation Ranking for Masked Graph AutoencoderYulan Hu, Ge Chen, Sheng Ouyang, Zhirui Yang, Junchen Wan, Fuzheng Zhang, Zhongyuan Wang 0006, Zhao Cao, Shangquan Wu, Yong Liu 0018. dasfaa 2024: 385-394 [doi]

Concentration Inequalities for General Functions of Heavy-Tailed Random VariablesShaojie Li, Yong Liu 0018. icml 2024: [doi]

Algorithmic Stability Unleashed: Generalization Bounds with Unbounded LossesShaojie Li, Bowei Zhu, Yong Liu 0018. icml 2024: [doi]

On the Consistency and Large-Scale Extension of Multiple Kernel ClusteringWeixuan Liang, Chang Tang, Xinwang Liu 0002, Yong Liu 0018, Jiyuan Liu 0003, En Zhu, Kunlun He. pami, 46(10):6935-6947, October 2024. [doi]

Theoretical analysis of divide-and-conquer ERM: From the perspective of multi-viewYun Liao, Yong Liu 0018, Shizhong Liao, Qinghua Hu, Jianwu Dang. inffus, 103:102087, March 2024. [doi]

Unbiased and augmentation-free self-supervised graph representation learningRuyue Liu, Rong Yin 0001, Yong Liu 0018, Weiping Wang. PR, 149:110274, 2024. [doi]

Perfect Alignment May be Poisonous to Graph Contrastive LearningJingyu Liu, Huayi Tang, Yong Liu 0018. icml 2024: [doi]

Non-IID Federated Learning With Sharper Risk BoundBojian Wei, Jian Li 0040, Yong Liu 0018, Weiping Wang. tnn, 35(5):6906-6917, May 2024. [doi]

Towards Sharper Risk Bounds for Minimax ProblemsBowei Zhu, Shaojie Li, Yong Liu 0018. IJCAI 2024: 5698-5706 [doi]

2023

Scalable Kernel $k$-Means With Randomized Sketching: From Theory to AlgorithmRong Yin 0001, Yong Liu 0018, Weiping Wang 0005, Dan Meng. tkde, 35(9):9210-9224, September 2023. [doi]

Data Heterogeneity Differential Privacy: From Theory to AlgorithmYilin Kang 0002, Jian Li 0040, Yong Liu 0018, Weiping Wang 0005. iccs 2023: 119-133 [doi]

Semi-supervised vector-valued learning: Improved bounds and algorithmsJian Li 0040, Yong Liu 0018, Weiping Wang 0005. PR, 138:109356, June 2023. [doi]

Optimal Convergence Rates for Distributed Nystroem ApproximationJian Li 0040, Yong Liu 0018, Weiping Wang 0005. jmlr, 24, 2023. [doi]

Learning Rates for Nonconvex Pairwise LearningShaojie Li, Yong Liu 0018. pami, 45(8):9996-10011, August 2023. [doi]

Towards practical differential privacy in data analysis: Understanding the effect of epsilon on utility in private ERMYuzhe Li, Yong Liu 0018, Bo Li 0063, Weiping Wang 0005, Nan Liu. compsec, 128:103147, May 2023. [doi]

Fine Perceptive GANs for Brain MR Image Super-Resolution in Wavelet DomainSenrong You, Baiying Lei, Shuqiang Wang, Charles K. Chui, Albert C. Cheung, Yong Liu 0018, Min Gan, Guo-cheng Wu, Yanyan Shen. tnn, 34(11):8802-8814, November 2023. [doi]

Morphological Feature Visualization of Alzheimer's Disease via Multidirectional Perception GANWen Yu, Baiying Lei, Shuqiang Wang, Yong Liu 0018, Zhiguang Feng, Yong Hu 0003, Yanyan Shen, Michael K. Ng 0001. tnn, 34(8):4401-4415, August 2023. [doi]

Semantic-Aware Dehazing Network With Adaptive Feature FusionShengdong Zhang, Wenqi Ren, Xin Tan, Zhi-Jie Wang 0009, Yong Liu 0018, Jingang Zhang, Xiaoqin Zhang 0002, Xiaochun Cao. tcyb, 53(1):454-467, 2023. [doi]

Improving Differentiable Architecture Search via self-distillationXunyu Zhu, Jian Li 0040, Yong Liu 0018, Weiping Wang 0005. NN, 167:656-667, October 2023. [doi]

2022

Distributed Randomized Sketching Kernel LearningRong Yin 0001, Yong Liu 0018, Dan Meng. AAAI 2022: 8883-8891 [doi]

Randomized Sketches for Clustering: Fast and Optimal Kernel $k$-MeansRong Yin 0001, Yong Liu 0018, Weiping Wang 0005, Dan Meng. nips 2022: [doi]

Sharper Utility Bounds for Differentially Private Models: Smooth and Non-smoothYilin Kang 0002, Yong Liu 0018, Jian Li 0040, Weiping Wang 0005. CIKM 2022: 951-961 [doi]

Non-IID Distributed Learning with Optimal Mixture WeightsJian Li 0040, Bojian Wei, Yong Liu 0018, Weiping Wang 0005. pkdd 2023: 539-554 [doi]

Convolutional spectral kernel learning with generalization guaranteesJian Li 0040, Yong Liu 0018, Weiping Wang 0005. ai, 313:103803, 2022. [doi]

Fine-Grained Analysis of Stability and Generalization for Modern Meta Learning AlgorithmsJiechao Guan, Yong Liu 0018, Zhiwu Lu 0001. nips 2022: [doi]

High Probability Generalization Bounds with Fast Rates for Minimax ProblemsShaojie Li, Yong Liu 0018. iclr 2022: [doi]

Stability and Generalization of Kernel Clustering: from Single Kernel to Multiple KernelWeixuan Liang, Xinwang Liu, Yong Liu 0018, Sihang Zhou, Jun-Jie Huang, Siwei Wang, Jiyuan Liu, Yi Zhang, En Zhu. nips 2022: [doi]

Deep Safe Multi-view Clustering: Reducing the Risk of Clustering Performance Degradation Caused by View IncreaseHuayi Tang, Yong Liu 0018. cvpr 2022: 202-211 [doi]

A Sketching Approach for Obtaining Real-Time Statistics Over Data Streams in CloudGuangjun Wu, Xiaochun Yun, Yong Wang, Shupeng Wang, Binbin Li, Yong Liu 0018. tcc, 10(2):1462-1475, 2022. [doi]

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