Obserwuj
Zicheng Liu
Zicheng Liu
Zhejiang University & Westlake University
Zweryfikowany adres z westlake.edu.cn
Tytuł
Cytowane przez
Cytowane przez
Rok
AutoMix: Unveiling the Power of Mixup for Stronger Classifiers
Z Liu, S Li, D Wu, Z Chen, L Wu, J Guo, SZ Li
ECCV 2022 - European Conference on Computer Vision, 2022
1172022
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
102*2022
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 - Advances in Neural Information Processing Systems, 2023
662023
Harnessing hard mixed samples with decoupled regularizer
Z Liu, S Li, G Wang, L Wu, C Tan, SZ Li
NeurIPS 2023 - Advances in Neural Information Processing Systems, 2023
36*2023
Towards reasonable budget allocation in untargeted graph structure attacks via gradient debias
Z Liu, Y Luo, L Wu, Z Liu, SZ Li
NeurIPS 2022 - Advances in Neural Information Processing Systems, 2023
342023
Openmixup: Open mixup toolbox and benchmark for visual representation learning
S Li, Z Wang, Z Liu, J Tian, D Wu, C Tan, W Jin, SZ Li
arXiv preprint arXiv:2209.04851, 2022
342022
Generalized clustering and multi-manifold learning with geometric structure preservation
L Wu, Z Liu, J Xia, Z Zang, S Li, SZ Li
Proceedings of the IEEE/CVF winter conference on applications of computer …, 2022
32*2022
Beyond homophily and homogeneity assumption: Relation-based frequency adaptive graph neural networks
L Wu, H Lin, B Hu, C Tan, Z Gao, Z Liu, SZ Li
IEEE Transactions on Neural Networks and Learning Systems, 2023
302023
Homophily-enhanced self-supervision for graph structure learning: Insights and directions
L Wu, H Lin, Z Liu, Z Liu, Y Huang, SZ Li
IEEE Transactions on Neural Networks and Learning Systems, 2023
262023
Mm-narrator: Narrating long-form videos with multimodal in-context learning
C Zhang, K Lin, Z Yang, J Wang, L Li, CC Lin, Z Liu, L Wang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
232024
Are gradients on graph structure reliable in gray-box attacks?
Z Liu, Y Luo, L Wu, S Li, Z Liu, SZ Li
Proceedings of the 31st ACM International Conference on Information …, 2022
222022
Boosting discriminative visual representation learning with scenario-agnostic mixup
S Li, Z Liu, Z Wang, D Wu, Z Liu, SZ Li
arXiv preprint arXiv:2111.15454, 2021
222021
Binary latent diffusion
Z Wang, J Wang, Z Liu, Q Qiu
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023
212023
Florence: A new foundation model for computer vision. arXiv 2021
L Yuan, D Chen, YL Chen, N Codella, X Dai, J Gao, H Hu, X Huang, B Li, ...
arXiv preprint arXiv:2111.11432, 2021
202021
Semireward: A general reward model for semi-supervised learning
S Li, W Jin, Z Wang, F Wu, Z Liu, C Tan, SZ Li
ICLR 2024 - The Eleventh International Conference on Learning Representations, 2023
192023
Segment and caption anything
X Huang, J Wang, Y Tang, Z Zhang, H Hu, J Lu, L Wang, Z Liu
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2024
182024
Masked modeling for self-supervised representation learning on vision and beyond
S Li, L Zhang, Z Wang, D Wu, L Wu, Z Liu, J Xia, C Tan, Y Liu, B Sun, ...
arXiv preprint arXiv:2401.00897, 2023
142023
Mm-vet v2: A challenging benchmark to evaluate large multimodal models for integrated capabilities
W Yu, Z Yang, L Ren, L Li, J Wang, K Lin, CC Lin, Z Liu, L Wang, X Wang
arXiv preprint arXiv:2408.00765, 2024
122024
Genurl: A general framework for unsupervised representation learning
S Li, Z Liu, Z Zang, D Wu, Z Chen, SZ Li
IEEE Transactions on Neural Networks and Learning Systems, 2023
122023
SA-VQA: Structured alignment of visual and semantic representations for visual question answering
P Xiong, Q You, P Yu, Z Liu, Y Wu
arXiv preprint arXiv:2201.10654, 2022
122022
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