Yuhui Xu

According to our database, Yuhui Xu authored at least 20 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Separated Contrastive Learning for Matching in Cross-domain Recommendation with Curriculum Scheduling.

Heng Chang, Liang Gu, Cheng Hu, Zhinan Zhang, Hong Zhu, Yuhui Xu, Yuan Fang, Zhen Chen

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

2024

QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models.

Yuhui Xu, Lingxi Xie, Xiaotao Gu, Xin Chen, Heng Chang, Hengheng Zhang, Zhengsu Chen, Xiaopeng Zhang, Qi Tian

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

BNET: Batch Normalization With Enhanced Linear Transformation.

Yuhui Xu, Lingxi Xie, Cihang Xie, Wenrui Dai, Jieru Mei, Siyuan Qiao, Wei Shen, Hongkai Xiong, Alan L. Yuille

IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

2022

Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap.

Lingxi Xie, Xin Chen, Kaifeng Bi, Longhui Wei, Yuhui Xu, Lanfei Wang, Zhengsu Chen, An Xiao, Jianlong Chang, Xiaopeng Zhang, Qi Tian

ACM Comput. Surv., 2022

2021

Partially-Connected Neural Architecture Search for Reduced Computational Redundancy.

Yuhui Xu, Lingxi Xie, Wenrui Dai, Xiaopeng Zhang, Xin Chen, Guo-Jun Qi, Hongkai Xiong, Qi Tian

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Fitting the Search Space of Weight-sharing NAS with Graph Convolutional Networks.

Xin Chen, Lingxi Xie, Jun Wu, Longhui Wei, Yuhui Xu, Qi Tian

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Iterative Deep Neural Network Quantization With Lipschitz Constraint.

Yuhui Xu, Wenrui Dai, Yingyong Qi, Junni Zou, Hongkai Xiong

IEEE Trans. Multim., 2020

Batch Normalization with Enhanced Linear Transformation.

Yuhui Xu, Lingxi Xie, Cihang Xie, Jieru Mei, Siyuan Qiao, Wei Shen, Hongkai Xiong, Alan L. Yuille

CoRR, 2020

Latency-Aware Differentiable Neural Architecture Search.

Yuhui Xu, Lingxi Xie, Xiaopeng Zhang, Xin Chen, Bowen Shi, Qi Tian, Hongkai Xiong

CoRR, 2020

FedExg: Federated Learning with Model Exchange.

Zhicheng Mao, Wenrui Dai, Chenglin Li, Yuhui Xu, Shanghong Wang, Junni Zou, Hongkai Xiong

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

TRP: Trained Rank Pruning for Efficient Deep Neural Networks.

Yuhui Xu, Yuxi Li, Shuai Zhang, Wei Wen, Botao Wang, Yingyong Qi, Yiran Chen, Weiyao Lin, Hongkai Xiong

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search.

Yuhui Xu, Lingxi Xie, Xiaopeng Zhang, Xin Chen, Guo-Jun Qi, Qi Tian, Hongkai Xiong

Proceedings of the 8th International Conference on Learning Representations, 2020

Tiny-Hourglassnet: An Efficient Design For 3d Human Pose Estimation.

Bowen Shi, Yuhui Xu, Wenrui Dai, Botao Wang, Shuai Zhang, Chenglin Li, Junni Zou, Hongkai Xiong

Proceedings of the IEEE International Conference on Image Processing, 2020

Noise-to-Compression Variational Autoencoder for Efficient End-to-End Optimized Image Coding.

Jixiang Luo, Shaohui Li, Wenrui Dai, Yuhui Xu, De Cheng, Gang Li, Hongkai Xiong

Proceedings of the Data Compression Conference, 2020

2019

PC-DARTS: Partial Channel Connections for Memory-Efficient Differentiable Architecture Search.

Yuhui Xu, Lingxi Xie, Xiaopeng Zhang, Xin Chen, Guo-Jun Qi, Qi Tian, Hongkai Xiong

CoRR, 2019

Feature Map Alignment: Towards Efficient Design of Mixed-precision Quantization Scheme.

Yukun Bao, Yuhui Xu, Hongkai Xiong

Proceedings of the 2019 IEEE Visual Communications and Image Processing, 2019

Trained Rank Pruning for Efficient Deep Neural Networks.

Yuhui Xu, Yuxi Li, Shuai Zhang, Wei Wen, Botao Wang, Wenrui Dai, Yingyong Qi, Yiran Chen, Weiyao Lin, Hongkai Xiong

Proceedings of the Fifth Workshop on Energy Efficient Machine Learning and Cognitive Computing, 2019

DNQ: Dynamic Network Quantization.

Yuhui Xu, Shuai Zhang, Yingyong Qi, Jiaxian Guo, Weiyao Lin, Hongkai Xiong

Proceedings of the Data Compression Conference, 2019

2018

Trained Rank Pruning for Efficient Deep Neural Networks.

Yuhui Xu, Yuxi Li, Shuai Zhang, Wei Wen, Botao Wang, Yingyong Qi, Yiran Chen, Weiyao Lin, Hongkai Xiong

CoRR, 2018

Deep Neural Network Compression With Single and Multiple Level Quantization.

Yuhui Xu, Yongzhuang Wang, Aojun Zhou, Weiyao Lin, Hongkai Xiong

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018