Xiao Liu

According to our database, Xiao Liu authored at least 23 papers between 2017 and 2024.

Collaborative distances:

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

2024

A Tree-Structured Multitask Model Architectures Recommendation System.

Lijun Zhang, Xiao Liu, Hui Guan

IEEE Trans. Neural Networks Learn. Syst., November, 2024

Robust Image Watermarking using Stable Diffusion.

Lijun Zhang, Xiao Liu, Antoni Viros Martin, Cindy Xiong Bearfield, Yuriy Brun, Hui Guan

CoRR, 2024

2023

Multi-scale pulmonary nodule classification with deep feature fusion via residual network.

Guokai Zhang, Dandan Zhu, Xiao Liu, Mingle Chen, Laurent Itti, Ye Luo, Jianwei Lu

J. Ambient Intell. Humaniz. Comput., 2023

Dynamic Gradient Balancing for Enhanced Adversarial Attacks on Multi-Task Models.

Lijun Zhang, Xiao Liu, Kaleel Mahmood, Caiwen Ding, Hui Guan

CoRR, 2023

An Alternative Hard-Parameter Sharing Paradigm for Multi-Domain Learning.

Lijun Zhang, Qizheng Yang, Xiao Liu, Hui Guan

IEEE Access, 2023

2022

Online Correction of Camera Poses for the Surround-view System: A Sparse Direct Approach.

Tianjun Zhang, Hao Deng, Lin Zhang, Shengjie Zhao, Xiao Liu, Yicong Zhou

ACM Trans. Multim. Comput. Commun. Appl., 2022

Break the Wall Between Homophily and Heterophily for Graph Representation Learning.

Xiao Liu, Lijun Zhang, Hui Guan

CoRR, 2022

AutoMTL: A Programming Framework for Automating Efficient Multi-Task Learning.

Lijun Zhang, Xiao Liu, Hui Guan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Rethinking Hard-Parameter Sharing in Multi-Domain Learning.

Lijun Zhang, Qizheng Yang, Xiao Liu, Hui Guan

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

A Tree-Structured Multi-Task Model Recommender.

Lijun Zhang, Xiao Liu, Hui Guan

Proceedings of the International Conference on Automated Machine Learning, 2022

2021

Toward Compact Parameter Representations for Architecture-Agnostic Neural Network Compression.

Yuezhou Sun, Wenlong Zhao, Lijun Zhang, Xiao Liu, Hui Guan, Matei Zaharia

CoRR, 2021

AutoMTL: A Programming Framework for Automated Multi-Task Learning.

Lijun Zhang, Xiao Liu, Hui Guan

CoRR, 2021

Rethinking Hard-Parameter Sharing in Multi-Task Learning.

Lijun Zhang, Qizheng Yang, Xiao Liu, Hui Guan

CoRR, 2021

2020

SID-NISM: A Self-supervised Low-light Image Enhancement Framework.

Lijun Zhang, Xiao Liu, Erik G. Learned-Miller, Hui Guan

CoRR, 2020

2019

Zero-Shot Restoration of Back-lit Images Using Deep Internal Learning.

Lin Zhang, Lijun Zhang, Xiao Liu, Ying Shen, Shaoming Zhang, Shengjie Zhao

Proceedings of the 27th ACM International Conference on Multimedia, 2019

Online Camera Pose Optimization for the Surround-view System.

Xiao Liu, Lin Zhang, Ying Shen, Shaoming Zhang, Shengjie Zhao

Proceedings of the 27th ACM International Conference on Multimedia, 2019

Generative Adversarial Network-based Image Super-Resolution with a Novel Quality Loss.

Xining Zhu, Lin Zhang, Lijun Zhang, Xiao Liu, Ying Shen, Shengjie Zhao

Proceedings of the 2019 International Symposium on Intelligent Signal Processing and Communication Systems, 2019

Pay By Showing Your Palm: A Study of Palmprint Verification on Mobile Platforms.

Yingyi Zhang, Lin Zhang, Xiao Liu, Shengjie Zhao, Ying Shen, Yukai Yang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Revisit Surround-view Camera System Calibration.

Xuan Shao, Xiao Liu, Lin Zhang, Shengjie Zhao, Ying Shen, Yukai Yang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

2018

3D Spatial Pyramid Dilated Network for Pulmonary Nodule Classification.

Guokai Zhang, Xiao Liu, Dandan Zhu, Pengcheng He, Lipeng Liang, Ye Luo, Jianwei Lu

Symmetry, 2018

Image Exposure Assessment: A Benchmark and a Deep Convolutional Neural Networks Based Model.

Lijun Zhang, Lin Zhang, Xiao Liu, Ying Shen, Dongqing Wang

Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

2017

MC-DCNN: Dilated Convolutional Neural Network for Computing Stereo Matching Cost.

Xiao Liu, Ye Luo, Yu Ye, Jianwei Lu

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Vision-based parking-slot detection: A benchmark and a learning-based approach.

Linshen Li, Lin Zhang, Xiyuan Li, Xiao Liu, Ying Shen, Lu Xiong

Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017