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Wuyang Chen
Wuyang Chen
Incoming Assistant Professor, CS@Simon Fraser University; PostDoc, Stats@UC Berkeley
Geverifieerd e-mailadres voor utexas.edu - Homepage
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Abd-net: Attentive but diverse person re-identification
T Chen, S Ding, J Xie, Y Yuan, W Chen, Y Yang, Z Ren, Z Wang
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
5592019
Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective
W Chen, X Gong, Z Wang
International Conference on Learning Representation (ICLR), 2021
2302021
FasterSeg: Searching for Faster Real-time Semantic Segmentation
W Chen, X Gong, X Liu, Q Zhang, Y Li, Z Wang
International Conference on Learning Representation (ICLR), 2019
2072019
A Simple Single-Scale Vision Transformer for Object Detection and Instance Segmentation
W Chen, X Du, F Yang, L Beyer, X Zhai, TY Lin, H Chen, J Li, X Song, ...
European Conference on Computer Vision, 711-727, 2022
154*2022
Learning to Optimize: A Primer and A Benchmark
T Chen, X Chen, W Chen, H Heaton, J Liu, Z Wang, W Yin
JMLR, 2021
1522021
Collaborative global-local networks for memory-efficient segmentation of ultra-high resolution images
W Chen, Z Jiang, Z Wang, K Cui, X Qian
IEEE Computer Vision and Pattern Recognition (CVPR), 2019
1492019
In Defense of the Triplet Loss Again: Learning Robust Person Re-Identification with Fast Approximated Triplet Loss and Label Distillation
Y Yuan, W Chen, Y Yang, Z Wang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
1012019
AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks
Y Fu, W Chen, H Wang, H Li, Y Lin, Z Wang
International Conference on Machine Learning (ICML), 2020
1002020
Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training
X Chen, W Chen, T Chen, Y Yuan, C Gong, K Chen, Z Wang
International Conference on Machine Learning (ICML), 2020
852020
Automated Synthetic-to-Real Generalization
W Chen, Z Yu, Z Wang, A Anandkumar
International Conference on Machine Learning (ICML), 2020
792020
Contrastive syn-to-real generalization
W Chen, Z Yu, SD Mello, S Liu, JM Alvarez, Z Wang, A Anandkumar
ICLR, 2021
492021
Calibrated Domain-Invariant Learning for Highly Generalizable Large Scale Re-Identification
Y Yuan, W Chen, T Chen, Y Yang, Z Ren, Z Wang, G Hua
IEEE Winter Conference on Applications of Computer Vision (WACV), 2019
352019
On the predictability of the orientation of protein domains joined by a spanning alpha-helical linker
YT Lai, L Jiang, W Chen, TO Yeates
Protein Engineering, Design and Selection 28 (11), 491-500, 2015
252015
Auto-scaling Vision Transformers without Training
W Chen, W Huang, X Du, X Song, Z Wang, D Zhou
ICLR 2022, 2021
232021
Mixture-of-experts meets instruction tuning: A winning combination for large language models
S Shen, L Hou, Y Zhou, N Du, S Longpre, J Wei, HW Chung, B Zoph, ...
The Twelfth International Conference on Learning Representations, 2023
212023
Learning Pruning-Friendly Networks via Frank-Wolfe: One-Shot, Any-Sparsity, And No Retraining
L Miao, X Luo, T Chen, W Chen, D Liu, Z Wang
ICLR 2022, 2021
19*2021
Autopose: Searching multi-scale branch aggregation for pose estimation
X Gong, W Chen, Y Jiang, Y Yuan, X Liu, Q Zhang, Y Li, Z Wang
arXiv preprint arXiv:2008.07018, 2020
192020
Flan-MoE: Scaling Instruction-Finetuned Language Models with Sparse Mixture of Experts
S Shen, L Hou, Y Zhou, N Du, S Longpre, J Wei, HW Chung, B Zoph, ...
arXiv preprint arXiv:2305.14705, 2023
152023
Lifelong Language Pretraining with Distribution-Specialized Experts
W Chen, Y Zhou, N Du, Y Huang, J Laudon, Z Chen, C Cu
ICML 2023, 2023
152023
Sandwich Batch Normalization: A Drop-In Replacement for Feature Distribution Heterogeneity
X Gong, W Chen, T Chen, Z Wang
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022
82022
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