| Single path one-shot neural architecture search with uniform sampling Z Guo, X Zhang, H Mu, W Heng, Z Liu, Y Wei, J Sun Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 1084 | 2020 |
| 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 | 698* | 2019 |
| 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 | 682 | 2018 |
| Minigpt-v2: large language model as a unified interface for vision-language multi-task learning J Chen, D Zhu, X Shen, X Li, Z Liu, P Zhang, R Krishnamoorthi, ... arXiv preprint arXiv:2310.09478, 2023 | 521 | 2023 |
| Reactnet: Towards precise binary neural network with generalized activation functions Z Liu, Z Shen, M Savvides, KT Cheng Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 421 | 2020 |
| Llm-qat: Data-free quantization aware training for large language models Z Liu, B Oguz, C Zhao, E Chang, P Stock, Y Mehdad, Y Shi, ... arXiv preprint arXiv:2305.17888, 2023 | 229 | 2023 |
| 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 | 184 | 2021 |
| Attentive cutmix: An enhanced data augmentation approach for deep learning based image classification D Walawalkar, Z Shen, Z Liu, M Savvides arXiv preprint arXiv:2003.13048, 2020 | 165 | 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 | 149 | 2019 |
| Un-mix: Rethinking image mixtures for unsupervised visual representation learning Z Shen, Z Liu, Z Liu, M Savvides, T Darrell, E Xing Proceedings of the AAAI Conference on Artificial Intelligence 36 (2), 2216-2224, 2022 | 138 | 2022 |
| 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, 202-219, 2020 | 112 | 2020 |
| Nonuniform-to-uniform quantization: Towards accurate quantization via generalized straight-through estimation Z Liu, KT Cheng, D Huang, EP Xing, Z Shen Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 106 | 2022 |
| 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 | 102 | 2021 |
| 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 | 98 | 2021 |
| 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 | 83 | 2022 |
| Mobilellm: Optimizing sub-billion parameter language models for on-device use cases Z Liu, C Zhao, F Iandola, C Lai, Y Tian, I Fedorov, Y Xiong, E Chang, ... arXiv preprint arXiv:2402.14905, 2024 | 62 | 2024 |
| 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 | 62 | 2020 |
| Bit: Robustly binarized multi-distilled transformer Z Liu, B Oguz, A Pappu, L Xiao, S Yih, M Li, R Krishnamoorthi, Y Mehdad NeurIPS 2022, 2022 | 60 | 2022 |
| " 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 | 55 | 2021 |
| LLM-FP4: 4-Bit Floating-Point Quantized Transformers S Liu, Z Liu, X Huang, P Dong, KT Cheng EMNLP 2023, 2023 | 50 | 2023 |
Kwang-Ting (Tim) ChengChair Professor of ECE and CSE, HKUST在 ust.hk 的电子邮件经过验证
