RILNET: A Reinforcement Learning Based Load Balancing Approach for Datacenter Networks. - Qinliang Lin; Zhibo Gong; Qiaoling Wang; Jinlong Li (MLN, 2018)

Hybrid holiday traffic predictions in cellular networks. - Meng Xu; Qiaoling Wang; Qinliang Lin (NOMS, 2018)

NetReduce: RDMA-Compatible In-Network Reduction for Distributed DNN Training Acceleration. - Shuo Liu 002; Qiaoling Wang; Junyi Zhang 005; Qinliang Lin; Yao Liu 006; Meng Xu; Ray C. C. Cheung; Jianfei He (CoRR, 2020)

Imperceptible adversarial attack with entropy feature and segmentation-based constraint. - Rongdong Li; Qinliang Lin; Yinglong Fu; Weicheng Xie 001; Linlin Shen (ICCPR, 2021)

Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity. - Cheng Luo; Qinliang Lin; Weicheng Xie 001; Bizhu Wu; Jinheng Xie; Linlin Shen (CVPR, 2022)

Scale-free Photo-realistic Adversarial Pattern Attack. - Xiangbo Gao; Weicheng Xie 001; Minmin Liu; Cheng Luo; Qinliang Lin; Linlin Shen; Keerthy Kusumam; Siyang Song (CoRR, 2022)

In-Network Aggregation with Transport Transparency for Distributed Training. - Shuo Liu 002; Qiaoling Wang; Junyi Zhang 005; Wenfei Wu; Qinliang Lin; Yao Liu 006; Meng Xu; Marco Canini; Ray C. C. Cheung; Jianfei He (ASPLOS (3), 2023)

Shift from Texture-bias to Shape-bias: Edge Deformation-based Augmentation for Robust Object Recognition. - Xilin He; Qinliang Lin; Cheng Luo; Weicheng Xie 001; Siyang Song; Feng Liu 013; Linlin Shen (ICCV, 2023)

Boosting Adversarial Transferability across Model Genus by Deformation-Constrained Warping. - Qinliang Lin; Cheng Luo; Zenghao Niu; Xilin He; Weicheng Xie 001; Yuanbo Hou; Linlin Shen; Siyang Song (AAAI, 2024)

MTaDCS: Moving Trace and Feature Density-Based Confidence Sample Selection Under Label Noise. - Qingzheng Huang; Xilin He; Xiaole Xian; Qinliang Lin; Weicheng Xie 001; Siyang Song; Linlin Shen; Zitong Yu (ECCV (71), 2024)

Scale-Free And Task-Generic Attack: Generating Photo-Realistic Adversarial Patterns With Patch Quilting Generator. - Xiangbo Gao; Qinliang Lin; Cheng Luo; Weicheng Xie 001; Linlin Shen; Keerthy Kusumam; Siyang Song (ICASSP, 2024)

Towards Combating Frequency Simplicity-biased Learning for Domain Generalization. - Xilin He; Jingyu Hu; Qinliang Lin; Cheng Luo; Weicheng Xie 001; Siyang Song; Muhammad Haris Khan; Linlin Shen (NeurIPS, 2024)

Generative Imperceptible Attack With Feature Learning Bias Reduction and Multi-Scale Variance Regularization. - Weicheng Xie 001; Zenghao Niu; Qinliang Lin; Siyang Song; Linlin Shen (IEEE Trans. Inf. Forensics Secur., 2024)

Realistic and Efficient Face Swapping: A Unified Approach with Diffusion Models. - Sanoojan Baliah; Qinliang Lin; Shengcai Liao; Xiaodan Liang; Muhammad Haris Khan (WACV, 2025)

Towards Robust Training via Gradient-Diversified Backpropagation. - Xilin He; Cheng Luo; Qinliang Lin; Weicheng Xie 001; Muhammad Haris Khan; Siyang Song; Linlin Shen (WACV, 2025)