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Qinliang Lin
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2020 – today
- 2024
- [j1]Weicheng Xie, Zenghao Niu, Qinliang Lin, Siyang Song, Linlin Shen:
Generative Imperceptible Attack With Feature Learning Bias Reduction and Multi-Scale Variance Regularization. IEEE Trans. Inf. Forensics Secur. 19: 7924-7938 (2024) - [c8]Qinliang Lin, Cheng Luo, Zenghao Niu, Xilin He, Weicheng Xie, Yuanbo Hou, Linlin Shen, Siyang Song:
Boosting Adversarial Transferability across Model Genus by Deformation-Constrained Warping. AAAI 2024: 3459-3467 - [c7]Xiangbo Gao, Qinliang Lin, Cheng Luo, Weicheng Xie, Linlin Shen, Keerthy Kusumam, Siyang Song:
Scale-Free And Task-Generic Attack: Generating Photo-Realistic Adversarial Patterns With Patch Quilting Generator. ICASSP 2024: 2985-2989 - [i5]Qinliang Lin, Cheng Luo, Zenghao Niu, Xilin He, Weicheng Xie, Yuanbo Hou, Linlin Shen, Siyang Song:
Boosting Adversarial Transferability across Model Genus by Deformation-Constrained Warping. CoRR abs/2402.03951 (2024) - [i4]Sanoojan Baliah, Qinliang Lin, Shengcai Liao, Xiaodan Liang, Muhammad Haris Khan:
Realistic and Efficient Face Swapping: A Unified Approach with Diffusion Models. CoRR abs/2409.07269 (2024) - 2023
- [c6]Shuo Liu, Qiaoling Wang, Junyi Zhang, Wenfei Wu, Qinliang Lin, Yao Liu, Meng Xu, Marco Canini, Ray C. C. Cheung, Jianfei He:
In-Network Aggregation with Transport Transparency for Distributed Training. ASPLOS (3) 2023: 376-391 - [c5]Xilin He, Qinliang Lin, Cheng Luo, Weicheng Xie, Siyang Song, Feng Liu, Linlin Shen:
Shift from Texture-bias to Shape-bias: Edge Deformation-based Augmentation for Robust Object Recognition. ICCV 2023: 1526-1535 - 2022
- [c4]Cheng Luo, Qinliang Lin, Weicheng Xie, Bizhu Wu, Jinheng Xie, Linlin Shen:
Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity. CVPR 2022: 15294-15303 - [i3]Cheng Luo, Qinliang Lin, Weicheng Xie, Bizhu Wu, Jinheng Xie, Linlin Shen:
Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity. CoRR abs/2203.05151 (2022) - [i2]Xiangbo Gao, Weicheng Xie, Minmin Liu, Cheng Luo, Qinliang Lin, Linlin Shen, Keerthy Kusumam, Siyang Song:
Scale-free Photo-realistic Adversarial Pattern Attack. CoRR abs/2208.06222 (2022) - 2021
- [c3]Rongdong Li, Qinliang Lin, Yinglong Fu, Weicheng Xie, Linlin Shen:
Imperceptible adversarial attack with entropy feature and segmentation-based constraint. ICCPR 2021: 12-17 - 2020
- [i1]Shuo Liu, Qiaoling Wang, Junyi Zhang, Qinliang Lin, Yao Liu, Meng Xu, Ray C. C. Cheung, Jianfei He:
NetReduce: RDMA-Compatible In-Network Reduction for Distributed DNN Training Acceleration. CoRR abs/2009.09736 (2020)
2010 – 2019
- 2018
- [c2]Qinliang Lin, Zhibo Gong, Qiaoling Wang, Jinlong Li:
RILNET: A Reinforcement Learning Based Load Balancing Approach for Datacenter Networks. MLN 2018: 44-55 - [c1]Meng Xu, Qiaoling Wang, Qinliang Lin:
Hybrid holiday traffic predictions in cellular networks. NOMS 2018: 1-6
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