Zechun Liu
Zechun Liu
PhD Candidate in HKUST. Visiting scholar in CMU
Verified email at - Homepage
Cited by
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Single path one-shot neural architecture search with uniform sampling
Z Guo, X Zhang, H Mu, W Heng, Z Liu, Y Wei, J Sun
European Conference on Computer Vision, 544-560, 2020
Bi-real net: Enhancing the performance of 1-bit cnns with improved representational capability and advanced training algorithm
Z Liu, B Wu, W Luo, X Yang, W Liu, KT Cheng
Proceedings of the European conference on computer vision (ECCV), 722-737, 2018
Metapruning: Meta learning for automatic neural network channel pruning
Z Liu, H Mu, X Zhang, Z Guo, X Yang, KT Cheng, J Sun
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
Reactnet: Towards precise binary neural network with generalized activation functions
Z Liu, Z Shen, M Savvides, KT Cheng
European Conference on Computer Vision, 143-159, 2020
Latent weights do not exist: Rethinking binarized neural network optimization
K Helwegen, J Widdicombe, L Geiger, Z Liu, KT Cheng, R Nusselder
Conference on Neural Information Processing Systems (NIPS 2019), 2019
Bi-real net: Binarizing deep network towards real-network performance
Z Liu, W Luo, B Wu, X Yang, W Liu, KT Cheng
International Journal of Computer Vision 128 (1), 202-219, 2020
UnMix: Rethinking image mixtures for unsupervised visual representation learning
Z Shen, Z Liu, Z Liu, M Savvides, T Darrell, E Xing
arXiv preprint arXiv:2003.05438, 2020
Binarizing mobilenet via evolution-based searching
H Phan, Z Liu, D Huynh, M Savvides, KT Cheng, Z Shen
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical Study
Z Shen, Z Liu, D Xu, Z Chen, KT Cheng, M Savvides
International Conference on Learning Representations (ICLR), 2021, 2021
Partial is better than all: Revisiting fine-tuning strategy for few-shot learning
Z Shen, Z Liu, J Qin, M Savvides, KT Cheng
Proceedings of the AAAI Conference on Artificial Intelligence 35 (11), 9594-9602, 2021
Joint multi-dimension pruning via numerical gradient update
Z Liu, X Zhang, Z Shen, Y Wei, KT Cheng, J Sun
IEEE Transactions on Image Processing 30, 8034-8045, 2021
How Do Adam and Training Strategies Help BNNs Optimization?
Z Liu, Z Shen, S Li, K Helwegen, D Huang, KT Cheng
International Conference on Machine Learning (ICML 2021), 2021
" BNN-BN=?": Training Binary Neural Networks Without Batch Normalization
T Chen, Z Zhang, X Ouyang, Z Liu, Z Shen, Z Wang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
S2-bnn: Bridging the gap between self-supervised real and 1-bit neural networks via guided distribution calibration
Z Shen, Z Liu, J Qin, L Huang, KT Cheng, M Savvides
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
Sliced recursive transformer
Z Shen, Z Liu, E Xing
arXiv preprint arXiv:2111.05297, 2021
Weight-Dependent Gates for Differentiable Neural Network Pruning
Y Li, W Wu, Z Liu, C Zhang, X Zhang, H Yao, B Yin
European Conference on Computer Vision Workshop, 23-37, 2020
Stereo Neural Vernier Caliper
S Li, Z Liu, Z Shen, KT Cheng
arXiv preprint arXiv:2203.11018, 2022
Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space
A Chavan, Z Shen, Z Liu, Z Liu, KT Cheng, E Xing
arXiv preprint arXiv:2201.00814, 2022
Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation
Z Liu, KT Cheng, D Huang, E Xing, Z Shen
arXiv preprint arXiv:2111.14826, 2021
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