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Cheng Tan
Cheng Tan
Zhejiang University & Westlake University
Verified email at westlake.edu.cn - Homepage
Title
Cited by
Cited by
Year
Self-supervised Learning on Graphs: Contrastive, Generative, or Predictive
L Wu, H Lin, C Tan, Z Gao, SZ Li
TKDE - IEEE Transactions on Knowledge and Data Engineering, 2021
2172021
A Survey on Generative Diffusion Model
H Cao, C Tan, Z Gao, Y Xu, G Chen, PA Heng, SZ Li
TKDE - IEEE Transactions on Knowledge and Data Engineering, 2022
1412022
SimVP: Simpler yet Better Video Prediction
Z Gao, C Tan, L Wu, SZ Li
CVPR 2022 - IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
1162022
Co-learning: Learning from noisy labels with self-supervision
C Tan, J Xia, L Wu, SZ Li
ACM MM 2021 - Proceedings of the 29th ACM International Conference on …, 2021
892021
PiFold: Toward Effective and Efficient Protein Inverse Folding
Z Gao, C Tan, SZ Li
ICLR 2023 - International Conference on Learning Representations, 2023
572023
GraphMixup: Improving Class-Imbalanced Node Classification on Graphs by Self-supervised Context Prediction
L Wu, H Lin, Z Gao, C Tan, S Li
ECML PKDD 2022 - European Conference on Machine Learning and Principles and …, 2021
57*2021
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
452023
Alphadesign: A graph protein design method and benchmark on alphafolddb
Z Gao, C Tan, SZ Li
arXiv preprint arXiv:2202.01079, 2022
362022
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, 2023
342023
Global-Context Aware Generative Protein Design
C Tan, Z Gao, J Xia, B Hu, SZ Li
ICASSP 2023 - IEEE International Conference on Acoustics, Speech and Signal …, 2023
34*2023
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 Representation, 2024
32*2024
SimVP: Towards Simple yet Powerful Spatiotemporal Predictive Learning
C Tan, Z Gao, SZ Li
arXiv preprint arXiv:2211.12509, 2022
282022
Openmixup: Open mixup toolbox and benchmark for visual representation learning
S Li, Z Wang, Z Liu, D Wu, C Tan, W Jin, SZ Li
arXiv preprint arXiv:2209.04851, 2022
28*2022
Harnessing hard mixed samples with decoupled regularizer
Z Liu, S Li, G Wang, L Wu, C Tan, SZ Li
NeurIPS 2023 - Neural Information Processing Systems, 2023
23*2023
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
232023
Target-aware Molecular Graph Generation
C Tan, Z Gao, SZ Li
ECML PKDD 2023 - European Conference on Machine Learning and Principles and …, 2022
232022
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
192022
Protein language models and structure prediction: Connection and progression
B Hu, J Xia, J Zheng, C Tan, Y Huang, Y Xu, SZ Li
arXiv preprint arXiv:2211.16742, 2022
182022
Towards effective and generalizable fine-tuning for pre-trained molecular graph models
J Xia, J Zheng, C Tan, G Wang, SZ Li
bioRxiv, 2022.02. 03.479055, 2022
162022
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 - Neural Information Processing Systems Datasets and Benchmarks …, 2023
142023
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