Seuraa
Tao Yang(杨涛)
Tao Yang(杨涛)
Vahvistettu sähköpostiosoite verkkotunnuksessa stu.xjtu.edu.cn
Nimike
Viittaukset
Viittaukset
Vuosi
Predicting COVID-19 in China using hybrid AI model
N Zheng, S Du, J Wang, H Zhang, W Cui, Z Kang, T Yang, B Lou, Y Chi, ...
IEEE transactions on cybernetics 50 (7), 2891-2904, 2020
3072020
Design space exploration of neural network activation function circuits
T Yang, Y Wei, Z Tu, H Zeng, MA Kinsy, N Zheng, P Ren
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2018
582018
Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View
X Ren*, T Yang*, Y Wang, W Zeng
International Conference on Learning Representations (ICLR) 2022, 2021
46*2021
Towards Building A Group-based Unsupervised Representation Disentanglement Framework
T Yang, X Ren, Y Wang, W Zeng, N Zheng
International Conference on Learning Representations (ICLR) 2022, 2021
26*2021
Safety-aware Motion Prediction with Unseen Vehicles for Autonomous Driving
X Ren*, T Yang*, EL Li, A Alexandre, Q Chen
International Conference on Computer Vision (ICCV) 2021, 2021
212021
A driving behavior recognition model with bi-LSTM and multi-scale CNN
H Zhang, Z Nan, T Yang, Y Liu, N Zheng
2020 IEEE Intelligent Vehicles Symposium (IV), 284-289, 2020
142020
Traffic agent trajectory prediction using social convolution and attention mechanism
T Yang, Z Nan, H Zhang, S Chen, N Zheng
2020 IEEE Intelligent Vehicles Symposium (IV), 278-283, 2020
132020
Test-time Batch Normalization
T Yang, S Zhou, Y Wang, Y Lu, N Zheng
https://arxiv.org/abs/2205.10210, 2022
112022
DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models
T Yang, Y Wang, Y Lu, N Zheng
37th Conference on Neural Information Processing Systems (NeurIPS) 2023, 2023
82023
Rethinking Content and Style: Exploring Bias for Unsupervised Disentanglement
X Ren, T Yang, Y Wang, W Zeng
International Conference on Computer Vision (ICCV) Workshop, 2021
82021
Visual Concepts Tokenization
T Yang, Y Wang, Y Lu, N Zheng
36th Conference on Neural Information Processing Systems (NeurIPS) 2022, 2022
72022
A Flexible Diffusion Model
W Du*, T Yang*, H Zhang*, Y Du*
International Conference on Machine Learning (ICML) 2023, 2022
52022
How does representation impact in-context learning: A exploration on a synthetic task
J Fu*, T Yang*, Y Wang, Y Lu, N Zheng
arXiv preprint arXiv:2309.06054, 2023
22023
Generalized robust test-time adaptation in continuous dynamic scenarios
S Li, L Yuan, B Xie, T Yang
arXiv preprint arXiv:2310.04714, 2023
12023
Vector-based Representation is the Key: A Study on Disentanglement and Compositional Generalization
T Yang, Y Wang, C Lan, Y Lu, N Zheng
https://arxiv.org/abs/2305.18063, 2023
12023
Activations Quantization for Compact Neural Networks
Y Wei, Z Zhao, T Yang, Z Hao, P Ren
2018 IEEE 23rd International Conference on Digital Signal Processing (DSP), 1-5, 2018
12018
Closed-Loop Unsupervised Representation Disentanglement with -VAE Distillation and Diffusion Probabilistic Feedback
X Jin, B Li, B Xie, W Zhang, J Liu, Z Li, T Yang, W Zeng
arXiv preprint arXiv:2402.02346, 2024
2024
Diffusion Model with Cross Attention as an Inductive Bias for Disentanglement
T Yang, C Lan, Y Lu, N Zheng
https://arxiv.org/abs/2402.09712.pdf, 2024
2024
MicroCinema: A Divide-and-Conquer Approach for Text-to-Video Generation
Y Wang, J Bao, W Weng, R Feng, D Yin, T Yang, J Zhang, QDZ Zhao, ...
The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) 2024, 2023
2023
Gradient Preserving Batch Normalization for Test-Time Adaptation
T Yang, Y Wang, Y Lu, N Zheng
Available at SSRN 4627328, 0
Järjestelmä ei voi suorittaa toimenpidettä nyt. Yritä myöhemmin uudelleen.
Artikkelit 1–20