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
331 2020 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
75 2018 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
62 * 2021 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
36 2023 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
35 * 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
30 2021 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
23 2020 Visual Concepts Tokenization T Yang, Y Wang, Y Lu, N Zheng
36th Conference on Neural Information Processing Systems (NeurIPS) 2022 …, 2022
18 2022 Test-time Batch Normalization T Yang, S Zhou, Y Wang, Y Lu, N Zheng
https://arxiv.org/abs/2205.10210, 2022
15 2022 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
14 2023 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
14 2020 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
10 2021 A Flexible Diffusion Model W Du*, T Yang*, H Zhang*, Y Du*
International Conference on Machine Learning (ICML) 2023, 2022
8 2022 Closed-Loop Unsupervised Representation Disentanglement with X Jin, B Li, B Xie, W Zhang, J Liu, Z Li, T Yang, W Zeng
The European Conference on Computer Vision (ECCV) 2024, 2024
6 2024 Diffusion Model with Cross Attention as an Inductive Bias for Disentanglement T Yang, C Lan, Y Lu, N Zheng
38th Conference on Neural Information Processing Systems (NeurIPS) 2024 …, 2024
6 2024 Breaking through the learning plateaus of in-context learning in Transformer J Fu, T Yang, Y Wang, Y Lu, N Zheng
Forty-first International Conference on Machine Learning (ICML) 2024, 2024
4 * 2024 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
3 2023 Generalized Robust Test-Time Adaptation in Continuous Dynamic Scenarios S Li, L Yuan, B Xie, T Yang
arXiv preprint arXiv:2310.04714, 2023
2 2023 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
1 2018 On Task Description of In-context Learning: A Study from Information Perspective M Xuanyuan, T Yang, J Fu, Y Wang
2024 
Yuwang WangTsinghua Universityبريد إلكتروني تم التحقق منه على mail.tsinghua.edu.cn