| PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search Y Xu, L Xie, X Zhang, X Chen, GJ Qi, Q Tian, H Xiong International Conference on Learning Representations, 2020 | 689 | 2020 |
| Deep neural network compression with single and multiple level quantization Y Xu, Y Wang, A Zhou, W Lin, H Xiong Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 127 | 2018 |
| Weight-sharing neural architecture search: A battle to shrink the optimization gap L Xie, X Chen, K Bi, L Wei, Y Xu, L Wang, Z Chen, A Xiao, J Chang, ... ACM Computing Surveys (CSUR) 54 (9), 1-37, 2021 | 71 | 2021 |
| Trp: Trained rank pruning for efficient deep neural networks Y Xu, Y Li, S Zhang, W Wen, B Wang, Y Qi, Y Chen, W Lin, H Xiong arXiv preprint arXiv:2004.14566, 2020 | 60 | 2020 |
| Trained rank pruning for efficient deep neural networks Y Xu, Y Li, S Zhang, W Wen, B Wang, W Dai, Y Qi, Y Chen, W Lin, ... 2019 Fifth Workshop on Energy Efficient Machine Learning and Cognitive …, 2019 | 47 | 2019 |
| Partially-connected neural architecture search for reduced computational redundancy Y Xu, L Xie, W Dai, X Zhang, X Chen, GJ Qi, H Xiong, Q Tian IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (9), 2953-2970, 2021 | 42 | 2021 |
| Latency-aware differentiable neural architecture search Y Xu, L Xie, X Zhang, X Chen, B Shi, Q Tian, H Xiong arXiv preprint arXiv:2001.06392, 2020 | 32 | 2020 |
| Filter level pruning based on similar feature extraction for convolutional neural networks L Li, Y Xu, J Zhu IEICE TRANSACTIONS on Information and Systems 101 (4), 1203-1206, 2018 | 23 | 2018 |
| Fitting the search space of weight-sharing nas with graph convolutional networks X Chen, L Xie, J Wu, L Wei, Y Xu, Q Tian Proceedings of the AAAI Conference on Artificial Intelligence 35 (8), 7064-7072, 2021 | 18 | 2021 |
| Iterative deep neural network quantization with lipschitz constraint Y Xu, W Dai, Y Qi, J Zou, H Xiong IEEE Transactions on Multimedia 22 (7), 1874-1888, 2019 | 17 | 2019 |
| DNQ: Dynamic Network Quantization Y Xu, S Zhang, Y Qi, J Guo, W Lin, H Xiong Data Compression Conference (DCC2019), 2018 | 8 | 2018 |
| Dynamic-stride-net: Deep convolutional neural network with dynamic stride Z Yang, Y Xu, W Dai, H Xiong Optoelectronic Imaging and Multimedia Technology VI 11187, 42-53, 2019 | 6 | 2019 |
| FedExg: federated learning with model exchange Z Mao, W Dai, C Li, Y Xu, S Wang, J Zou, H Xiong 2020 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2020 | 5 | 2020 |
| Bnet: Batch normalization with enhanced linear transformation Y Xu, L Xie, C Xie, W Dai, J Mei, S Qiao, W Shen, H Xiong, A Yuille IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 3 | 2023 |
| Tiny-Hourglassnet: An efficient design for 3D human pose estimation B Shi, Y Xu, W Dai, B Wang, S Zhang, C Li, J Zou, H Xiong 2020 IEEE International Conference on Image Processing (ICIP), 1491-1495, 2020 | 3 | 2020 |
| Noise-to-Compression Variational Autoencoder for Efficient End-to-End Optimized Image Coding J Luo, S Li, W Dai, Y Xu, D Cheng, G Li, H Xiong 2020 Data Compression Conference (DCC), 33-42, 2020 | 2 | 2020 |
| QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models Y Xu, L Xie, X Gu, X Chen, H Chang, H Zhang, Z Chen, X Zhang, Q Tian arXiv preprint arXiv:2309.14717, 2023 | 1 | 2023 |
| Batch normalization with enhanced linear transformation Y Xu, L Xie, C Xie, J Mei, S Qiao, W Shen, H Xiong, A Yuille arXiv preprint arXiv:2011.14150, 2020 | 1 | 2020 |
| Feature map alignment: Towards efficient design of mixed-precision quantization scheme Y Bao, Y Xu, H Xiong 2019 IEEE Visual Communications and Image Processing (VCIP), 1-4, 2019 | 1 | 2019 |
Hongkai XiongDistinguished Professor, Shanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
