Siyuan Li

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Cheng TanZhejiang University & Westlake UniversityCorreu electrònic verificat a westlake.edu.cn
Lirong WuZhejiang University & Westlake UniversityCorreu electrònic verificat a westlake.edu.cn
Gao ZhangyangPhD candidate, Westlake University; B.S. degree, Central South UniversityCorreu electrònic verificat a westlake.edu.cn
Zedong WangThe Hong Kong University of Science and Technology (HKUST)Correu electrònic verificat a connect.ust.hk
Jun Xia (夏俊)Ph.D. Candidate,Westlake University & Zhejiang UniversityCorreu electrònic verificat a westlake.edu.cn
Zelin ZangWestlake University, Zhejiang University, National University of SingaporeCorreu electrònic verificat a u.nus.edu
Jiangbin ZhengZhejiang University & Westlake UniversityCorreu electrònic verificat a westlake.edu.cn
Zhiyuan ChenHKU-MMLab & Shanghai AI LabCorreu electrònic verificat a microsoft.com
Zihan LiuZhejiang University, AI Research and Innovation lab in Westlake UniversityCorreu electrònic verificat a westlake.edu.cn
Baigui SunAlibaba DAMO AcademyCorreu electrònic verificat a zju.edu.cn
Haitao LinPhD Student@Westlake University&Zhejiang UniversityCorreu electrònic verificat a westlake.edu.cn
Yufei HuangZhejiang University&Westlake UniversityCorreu electrònic verificat a westlake.edu.cn
Fang WuStanford UniversityCorreu electrònic verificat a stanford.edu
Zicheng LiuZhejiang University & Westlake UniversityCorreu electrònic verificat a westlake.edu.cn
Stan Z. Li (李子青)Westlake University & CAS Institute of AutomationCorreu electrònic verificat a westlake.edu.cn
Di WuWestlake University & Zhejiang UniversityCorreu electrònic verificat a westlake.edu.cn

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Siyuan Li

Altres noms李思远

Zhejiang University & Westlake University (Ph.D Candidate)

Correu electrònic verificat a westlake.edu.cn - Pàgina d'inici

Self-supervised Learning Network Design Data Augmentation Optimization


Títol Ordena per cites Ordena per any Ordena per títol	Citada per Citada per	Any
Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules J Xia, C Zhao, B Hu, Z Gao, C Tan, Y Liu, S Li, SZ Li ICLR 2023 - International Conference on Learning Representations, 2023	146	2023
Temporal attention unit: Towards efficient spatiotemporal predictive learning C Tan, Z Gao, S Li, Y Xu, SZ Li CVPR 2023 - IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022	119	2022
AutoMix: Unveiling the Power of Mixup for Stronger Classifiers Z Liu, S Li, D Wu, Z Liu, Z Chen, L Wu, SZ Li ECCV 2022 - European Conference on Computer Vision, 441–458, 2021	113	2021
MogaNet: Multi-order Gated Aggregation Network S Li, Z Wang, Z Liu, C Tan, H Lin, D Wu, Z Chen, J Zheng, SZ Li ICLR 2024 - International Conference on Learning Representations, 2022	97*	2022
Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning Z Zhang, W Chen, H Cheng, Z Li, S Li, L Lin, G Li NeurIPS 2022 - Advances in Neural Information Processing Systems, 2022	77	2022
SimVPv2: Towards Simple yet Powerful Spatiotemporal Predictive Learning C Tan, Z Gao, S Li*, SZ Li TMM 2024 - IEEE Transactions on Multimedia, 2022	74	2022
Cvt-slr: Contrastive visual-textual transformation for sign language recognition with variational alignment J Zheng, Y Wang, C Tan, S Li, G Wang, J Xia, Y Chen, SZ Li CVPR 2023 - IEEE/CVF Conference on Computer Vision and Pattern Recognition …, 2023	72	2023
OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning C Tan, S Li, Z Gao, W Guan, Z Wang, Z Liu, L Wu, SZ Li NeurIPS 2023 - Thirty-seventh Conference on Neural Information Processing …, 2023	63	2023
Architecture-Agnostic Masked Image Modeling--From ViT back to CNN S Li, D Wu, F Wu, Z Zang, SZ Li ICML 2023 - International Conference on Machine Learning 202, 20149-20167, 2023	62*	2023
OpenMixup: Open Mixup Toolbox and Benchmark for Visual Representation Learning S Li, Z Wang, Z Liu*, D Wu, T Cheng, J Weiyang, SZ Li arXiv preprint arXiv:2209.04851, 2022	39*	2022
Harnessing hard mixed samples with decoupled regularizer Z Liu, S Li, G Wang, L Wu, C Tan, SZ Li NeurIPS 2023 - Conference on Neural Information Processing Systems, 2023	36*	2023
GNN Cleaner: Label Cleaner for Graph Structured Data J Xia, H Lin, Y Xu, C Tan, L Wu, S Li, SZ Li TKDE 2023 - IEEE Transactions on Knowledge and Data Engineering, 1-12, 2023	31*	2023
DLME: Deep Local-flatness Manifold Embedding Z Zang, S Li, D Wu, G Wang, L Shang, B Sun, H Li, SZ Li ECCV 2022 - European Conference on Computer Vision, 576–592, 2022	31	2022
MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding L Wu, Y Tian, Y Huang, S Li, H Lin, NV Chawla, SZ Li ICLR 2024 - International Conference on Learning Representations, 2024	27	2024
Hyperspherical Consistency Regularization C Tan, Z Gao, L Wu, S Li, SZ Li CVPR 2022 - IEEE/CVF Conference on Computer Vision and Pattern Recognition …, 2022	24	2022
KW-Design: Pushing the Limit of Protein Deign via Knowledge Refinement Z Gao, C Tan, X Chen, Y Zhang, J Xia, S Li, SZ Li ICLR 2024 - International Conference on Learning Representations, 2023	23*	2023
Are Gradients on Graph Structure Reliable in Gray-box Attacks? Z Liu, Y Luo, L Wu, S Li, Z Liu, SZ Li CIKM 2022 - The Conference on Information and Knowledge Management, 2022	22	2022
Exploring Localization for Self-supervised Fine-grained Contrastive Learning D Wu, S Li, Z Zang, SZ Li BMVC 2022 - British Machine Vision Conference, 1-15, 2021	22*	2021
Generalized Clustering and Multi-Manifold Learning with Geometric Structure Preservation L Wu, Z Liu, J Xia, Z Zang, S Li, SZ Li WACV 2022 - IEEE/CVF Winter Conference on Applications of Computer Vision …, 2022	20*	2022
Rethinking explaining graph neural networks via non-parametric subgraph matching F Wu, S Li, L Wu, D Radev, Y Jiang, X Jin, Z Niu, SZ Li ICML 2023 - International Conference on Machine Learning 202, 37511-37523, 2023	19	2023

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