Qinliang Lin

According to our database, Qinliang Lin authored at least 14 papers between 2018 and 2024.

Collaborative distances:

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

2024

Generative Imperceptible Attack With Feature Learning Bias Reduction and Multi-Scale Variance Regularization.

Weicheng Xie, Zenghao Niu, Qinliang Lin, Siyang Song, Linlin Shen

IEEE Trans. Inf. Forensics Secur., 2024

Towards Combating Frequency Simplicity-biased Learning for Domain Generalization.

Xilin He, Jingyu Hu, Qinliang Lin, Cheng Luo, Weicheng Xie, Siyang Song, Muhammad Haris Khan, Linlin Shen

CoRR, 2024

Realistic and Efficient Face Swapping: A Unified Approach with Diffusion Models.

Sanoojan Baliah, Qinliang Lin, Shengcai Liao, Xiaodan Liang, Muhammad Haris Khan

CoRR, 2024

Scale-Free And Task-Generic Attack: Generating Photo-Realistic Adversarial Patterns With Patch Quilting Generator.

Xiangbo Gao, Qinliang Lin, Cheng Luo, Weicheng Xie, Linlin Shen, Keerthy Kusumam, Siyang Song

Proceedings of the IEEE International Conference on Acoustics, 2024

MTaDCS: Moving Trace and Feature Density-Based Confidence Sample Selection Under Label Noise.

Qingzheng Huang, Xilin He, Xiaole Xian, Qinliang Lin, Weicheng Xie, Siyang Song, Linlin Shen, Zitong Yu

Proceedings of the Computer Vision - ECCV 2024, 2024

Boosting Adversarial Transferability across Model Genus by Deformation-Constrained Warping.

Qinliang Lin, Cheng Luo, Zenghao Niu, Xilin He, Weicheng Xie, Yuanbo Hou, Linlin Shen, Siyang Song

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Shift from Texture-bias to Shape-bias: Edge Deformation-based Augmentation for Robust Object Recognition.

Xilin He, Qinliang Lin, Cheng Luo, Weicheng Xie, Siyang Song, Feng Liu, Linlin Shen

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

In-Network Aggregation with Transport Transparency for Distributed Training.

Shuo Liu, Qiaoling Wang, Junyi Zhang, Wenfei Wu, Qinliang Lin, Yao Liu, Meng Xu, Marco Canini, Ray C. C. Cheung, Jianfei He

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022

Scale-free Photo-realistic Adversarial Pattern Attack.

Xiangbo Gao, Weicheng Xie, Minmin Liu, Cheng Luo, Qinliang Lin, Linlin Shen, Keerthy Kusumam, Siyang Song

CoRR, 2022

Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity.

Cheng Luo, Qinliang Lin, Weicheng Xie, Bizhu Wu, Jinheng Xie, Linlin Shen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Imperceptible adversarial attack with entropy feature and segmentation-based constraint.

Rongdong Li, Qinliang Lin, Yinglong Fu, Weicheng Xie, Linlin Shen

Proceedings of the ICCPR '21: 10th International Conference on Computing and Pattern Recognition, Shanghai, China, October 15, 2021

2020

NetReduce: RDMA-Compatible In-Network Reduction for Distributed DNN Training Acceleration.

Shuo Liu, Qiaoling Wang, Junyi Zhang, Qinliang Lin, Yao Liu, Meng Xu, Ray C. C. Cheung, Jianfei He

CoRR, 2020

2018

Hybrid holiday traffic predictions in cellular networks.

Meng Xu, Qiaoling Wang, Qinliang Lin

Proceedings of the 2018 IEEE/IFIP Network Operations and Management Symposium, 2018

RILNET: A Reinforcement Learning Based Load Balancing Approach for Datacenter Networks.

Qinliang Lin, Zhibo Gong, Qiaoling Wang, Jinlong Li

Proceedings of the Machine Learning for Networking - First International Conference, 2018