Yezhen Wang
Yezhen Wang
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Perspective-guided convolution networks for crowd counting
Z Yan, Y Yuan, W Zuo, X Tan, Y Wang, S Wen, E Ding
Proceedings of the IEEE/CVF international conference on computer vision, 952-961, 2019
Learning invariant representations and risks for semi-supervised domain adaptation
B Li, Y Wang, S Zhang, D Li, K Keutzer, T Darrell, H Zhao
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
Invariant information bottleneck for domain generalization
B Li, Y Shen, Y Wang, W Zhu, D Li, K Keutzer, H Zhao
Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 7399-7407, 2022
epointda: An end-to-end simulation-to-real domain adaptation framework for lidar point cloud segmentation
S Zhao, Y Wang, B Li, B Wu, Y Gao, P Xu, T Darrell, K Keutzer
Proceedings of the AAAI Conference on Artificial Intelligence 35 (4), 3500-3509, 2021
Rethinking distributional matching based domain adaptation
B Li, Y Wang, T Che, S Zhang, S Zhao, P Xu, W Zhou, Y Bengio, ...
arXiv preprint arXiv:2006.13352, 2020
Energy-based open-world uncertainty modeling for confidence calibration
Y Wang, B Li, T Che, K Zhou, Z Liu, D Li
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
Sparse fusion mixture-of-experts are domain generalizable learners
B Li, J Yang, J Ren, Y Wang, Z Liu
ICLR 2023 (Oral), 2022
Bias-variance trade-off in physics-informed neural networks with randomized smoothing for high-dimensional PDEs
Z Hu, Z Yang, Y Wang, GE Karniadakis, K Kawaguchi
arXiv preprint arXiv:2311.15283, 2023
SPE: Symmetrical Prompt Enhancement for Fact Probing
Y Li, T Che, Y Wang, Z Jiang, C Xiong, S Chaturvedi
EMNLP 2022, 2022
Dual metric discriminator for open set video domain adaptation
Y Wang, X Song, Y Wang, P Xu, R Hu, H Chai
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
E-Forcing: Improving Autoregressive Models by Treating it as an Energy-Based One
Y Wang, T Che, B Li, K Song, H Pei, Y Bengio, D Li
Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization
Q Shen, Y Wang, Z Yang, X Li, H Wang, Y Zhang, J Scarlett, Z Zhu, ...
arXiv preprint arXiv:2406.14095, 2024
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