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2020 – today
- 2022
[j68]Weijun Fang, Jun Zhang
, Shu-Tao Xia, Fang-Wei Fu:
New constructions of self-dual generalized Reed-Solomon codes. Cryptogr. Commun. 14(3): 677-690 (2022)- [j67]Tao Dai, Yan Feng, Bin Chen, Jian Lu, Shu-Tao Xia:
Deep image prior based defense against adversarial examples. Pattern Recognit. 122: 108249 (2022) - [j66]Jiawang Bai, Yiming Li, Jiawei Li, Xue Yang, Yong Jiang, Shu-Tao Xia:
Multinomial random forest. Pattern Recognit. 122: 108331 (2022) - [j65]Yiming Li, Baoyuan Wu, Yan Feng, Yanbo Fan, Yong Jiang, Zhifeng Li, Shu-Tao Xia:
Semi-supervised robust training with generalized perturbed neighborhood. Pattern Recognit. 124: 108472 (2022) - [c161]Xue Yang, Yan Feng, Weijun Fang, Jun Shao, Xiaohu Tang, Shu-Tao Xia, Rongxing Lu:
An Accuracy-Lossless Perturbation Method for Defending Privacy Attacks in Federated Learning. WWW 2022: 732-742 - [c160]Jinpeng Wang, Bin Chen, Dongliang Liao, Ziyun Zeng, Gongfu Li, Shu-Tao Xia, Jin Xu:
Hybrid Contrastive Quantization for Efficient Cross-View Video Retrieval. WWW 2022: 3020-3030 - [i77]Yiming Li, Haoxiang Zhong, Xingjun Ma, Yong Jiang, Shu-Tao Xia:
Few-Shot Backdoor Attacks on Visual Object Tracking. CoRR abs/2201.13178 (2022) - [i76]Bin Chen, Weijun Fang, Yueqi Chen, Shu-Tao Xia, Fang-Wei Fu, Xiangyu Chen:
Some Results on the Improved Bound and Construction of Optimal (r, δ) LRCs. CoRR abs/2202.03301 (2022) - [i75]Jinpeng Wang, Bin Chen, Dongliang Liao, Ziyun Zeng, Gongfu Li, Shu-Tao Xia, Jin Xu:
Hybrid Contrastive Quantization for Efficient Cross-View Video Retrieval. CoRR abs/2202.03384 (2022) - [i74]Yinghua Gao, Dongxian Wu, Jingfeng Zhang, Guanhao Gan, Shu-Tao Xia, Gang Niu, Masashi Sugiyama:
On the Effectiveness of Adversarial Training against Backdoor Attacks. CoRR abs/2202.10627 (2022) - [i73]Jiawang Bai, Li Yuan, Shu-Tao Xia, Shuicheng Yan, Zhifeng Li, Wei Liu:
Improving Vision Transformers by Revisiting High-frequency Components. CoRR abs/2204.00993 (2022) - 2021
- [j64]Jiale Deng, Xiaogang Zhu, Xi Xiao, Sheng Wen, Qing Li, Shutao Xia:
Fuzzing With Optimized Grammar-Aware Mutation Strategies. IEEE Access 9: 95061-95071 (2021) - [j63]Xi Xiao, Wentao Xiao, Dianyan Zhang, Bin Zhang, Guangwu Hu, Qing Li, Shutao Xia:
Phishing websites detection via CNN and multi-head self-attention on imbalanced datasets. Comput. Secur. 108: 102372 (2021) - [j62]Taian Guo, Tao Dai, Ling Liu, Zexuan Zhu, Shu-Tao Xia:
S2A: Scale-Attention-Aware Networks for Video Super-Resolution. Entropy 23(11): 1398 (2021) - [j61]Yuyuan Zeng, Tao Dai, Bin Chen, Shu-Tao Xia, Jian Lu:
Correlation-based structural dropout for convolutional neural networks. Pattern Recognit. 120: 108117 (2021) - [j60]Hanqi Zhang, Xi Xiao, Shiguang Ni, Changsheng Dou, Wei Zhou, Shutao Xia:
Smartwatch User Authentication by Sensing Tapping Rhythms and Using One-Class DBSCAN. Sensors 21(7): 2456 (2021) - [j59]Bin Chen, Weijun Fang, Shu-Tao Xia, Jie Hao, Fang-Wei Fu:
Improved Bounds and Singleton-Optimal Constructions of Locally Repairable Codes With Minimum Distance 5 and 6. IEEE Trans. Inf. Theory 67(1): 217-231 (2021) - [j58]Weijun Fang, Shu-Tao Xia, Fang-Wei Fu:
Construction of MDS Euclidean Self-Dual Codes via Two Subsets. IEEE Trans. Inf. Theory 67(8): 5005-5015 (2021) - [j57]Zhaoliang He, Hongshan Li, Zhi Wang, Shutao Xia, Wenwu Zhu:
Adaptive Compression for Online Computer Vision: An Edge Reinforcement Learning Approach. ACM Trans. Multim. Comput. Commun. Appl. 17(4): 118:1-118:23 (2021) - [c159]Jinpeng Wang, Bin Chen, Qiang Zhang, Zaiqiao Meng, Shangsong Liang, Shutao Xia:
Weakly Supervised Deep Hyperspherical Quantization for Image Retrieval. AAAI 2021: 2755-2763 - [c158]Qianggang Ding, Sifan Wu, Tao Dai, Hao Sun, Jiadong Guo, Zhang-Hua Fu, Shutao Xia:
Knowledge Refinery: Learning from Decoupled Label. AAAI 2021: 7228-7235 - [c157]Xinyi Liu, Linghui Zhu, Shu-Tao Xia, Yong Jiang, Xue Yang:
GDST: Global Distillation Self-Training for Semi-Supervised Federated Learning. GLOBECOM 2021: 1-6 - [c156]Yalei Lv, Tao Dai, Bin Chen, Jian Lu, Shu-Tao Xia, Jingchao Cao:
HOCA: Higher-Order Channel Attention for Single Image Super-Resolution. ICASSP 2021: 1605-1609 - [c155]Bin Cheng, Tao Dai, Bin Chen, Shutao Xia, Xiu Li:
Efficient Face Manipulation Via Deep Feature Disentanglement And Reintegration Net. ICASSP 2021: 1990-1994 - [c154]Jinpeng Wang, Bin Chen, Tao Dai, Shu-Tao Xia:
Webly Supervised Deep Attentive Quantization. ICASSP 2021: 2250-2254 - [c153]Xue Zhou, Tao Dai, Yong Jiang, Shu-Tao Xia:
Bishift-Net for Image Inpainting. ICASSP 2021: 2470-2474 - [c152]Tongqing Zhai, Yiming Li, Ziqi Zhang, Baoyuan Wu, Yong Jiang, Shu-Tao Xia:
Backdoor Attack Against Speaker Verification. ICASSP 2021: 2560-2564 - [c151]Xiang Liu, Naiqi Li, Shu-Tao Xia:
GDTW: A Novel Differentiable DTW Loss for Time Series Tasks. ICASSP 2021: 2860-2864 - [c150]Naiqi Li, Yinghua Gao, Wenjie Li, Yong Jiang, Shu-Tao Xia:
H-GPR: A Hybrid Strategy for Large-Scale Gaussian Process Regression. ICASSP 2021: 2955-2959 - [c149]Yiming Li, Yang Zhang, Qingtao Tang, Weipeng Huang, Yong Jiang, Shu-Tao Xia:
t-k-means: A ROBUST AND STABLE k-means VARIANT. ICASSP 2021: 3120-3124 - [c148]Tianlei Zhu, Jiawei Li, Xinji Liu, Yong Jiang, Shu-Tao Xia:
Attention on Attention Sparse Dense Convolutional Network for Financial Signal Processing. ICASSP 2021: 3300-3304 - [c147]Yinghua Gao, Li Shen, Shu-Tao Xia:
DAG-GAN: Causal Structure Learning with Generative Adversarial Nets. ICASSP 2021: 3320-3324 - [c146]Yiming Li, Peidong Liu, Yong Jiang, Shu-Tao Xia:
Visual Privacy Protection via Mapping Distortion. ICASSP 2021: 3740-3744 - [c145]Zhikang Xia, Bin Chen, Tao Dai, Shu-Tao Xia:
Class Aware Robust Training. ICASSP 2021: 3835-3839 - [c144]Yanjie Li, Shoukui Zhang, Zhicheng Wang, Sen Yang, Wankou Yang, Shu-Tao Xia, Erjin Zhou:
TokenPose: Learning Keypoint Tokens for Human Pose Estimation. ICCV 2021: 11293-11302 - [c143]Jiawang Bai, Baoyuan Wu, Yong Zhang, Yiming Li, Zhifeng Li, Shu-Tao Xia:
Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits. ICLR 2021 - [c142]Yang Bai, Yuyuan Zeng, Yong Jiang, Shu-Tao Xia, Xingjun Ma, Yisen Wang:
Improving Adversarial Robustness via Channel-wise Activation Suppressing. ICLR 2021 - [c141]Yutao Dong, Qing Li, Richard O. Sinnott, Yong Jiang, Shutao Xia:
ISP Self-Operated BGP Anomaly Detection Based on Weakly Supervised Learning. ICNP 2021: 1-11 - [c140]Dongbiao He, Jinlei Jiang, Teng Ma, Guangwen Yang, Cédric Westphal, J. J. Garcia-Luna-Aceves, Shu-Tao Xia:
CUBIST: High-Quality 360-Degree Video Streaming Services via Tile-based Edge Caching and FoV-Adaptive Prefetching. ICWS 2021: 208-218 - [c139]Yunxiao Wang, Tao Dai, Bin Chen, Shutao Xia:
Attribute Structured Knowledge Distillation. IJCNN 2021: 1-8 - [c138]Ziyu Wei, Xi Xiao, Guangwu Hu, Bin Zhang, Qing Li, Shutao Xia:
A Novel and High-Accuracy Rumor Detection Approach using Kernel Subtree and Deep Learning Networks. IJCNN 2021: 1-8 - [c137]Xiao Wei, Yao Zhu, Shu-Tao Xia:
Batch Normalization Assisted Adversarial Pruning: Towards Lightweight, Sparse and Robust Models. IJCNN 2021: 1-8 - [c136]Xin Yan, Yanjie Li, Tao Dai, Yang Bai, Shu-Tao Xia:
D2Defend: Dual-Domain based Defense against Adversarial Examples. IJCNN 2021: 1-8 - [c135]Mingyan Zhu, Tao Dai, Shu-Tao Xia, Maowei Hu:
EDKE: Encoder-Decoder based Kernel Estimation for Blind Image Super-resolution. IJCNN 2021: 1-7 - [c134]Weijun Fang, Bin Chen, Shu-Tao Xia, Fang-Wei Fu:
Singleton-Optimal LRCs and Perfect LRCs via Cyclic Codes. ISIT 2021: 3261-3266 - [c133]Jie Hao, Kenneth W. Shum, Shu-Tao Xia, Fang-Wei Fu, Yixian Yang:
On Optimal Quaternary Locally Repairable Codes. ISIT 2021: 3267-3272 - [c132]Kelong Mao, Xi Xiao, Guangwu Hu, Xiapu Luo, Bin Zhang, Shutao Xia:
Byte-Label Joint Attention Learning for Packet-grained Network Traffic Classification. IWQoS 2021: 1-10 - [c131]Bo Li, Bin Chen, Yunxiao Wang, Tao Dai, Maowei Hu, Yong Jiang, Shutao Xia:
Knowledge Distillation via Channel Correlation Structure. KSEM 2021: 357-368 - [c130]Tao Dai, Yalei Lv, Bin Chen, Zhi Wang, Zexuan Zhu, Shu-Tao Xia:
Mix-order Attention Networks for Image Restoration. ACM Multimedia 2021: 2880-2888 - [c129]Peidong Liu, Zibin He, Xiyu Yan, Yong Jiang, Shu-Tao Xia, Feng Zheng, Maowei Hu:
WeClick: Weakly-Supervised Video Semantic Segmentation with Click Annotations. ACM Multimedia 2021: 2995-3004 - [c128]Yang Bai, Xin Yan, Yong Jiang, Shu-Tao Xia, Yisen Wang:
Clustering Effect of Adversarial Robust Models. NeurIPS 2021: 29590-29601 - [i72]Jiawang Bai, Baoyuan Wu, Yong Zhang, Yiming Li, Zhifeng Li, Shu-Tao Xia:
Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits. CoRR abs/2102.10496 (2021) - [i71]Yiming Li, Yanjie Li, Yalei Lv, Yong Jiang, Shu-Tao Xia:
Hidden Backdoor Attack against Semantic Segmentation Models. CoRR abs/2103.04038 (2021) - [i70]Yang Bai, Yuyuan Zeng, Yong Jiang, Shu-Tao Xia, Xingjun Ma, Yisen Wang:
Improving Adversarial Robustness via Channel-wise Activation Suppressing. CoRR abs/2103.08307 (2021) - [i69]Yiming Li, Tongqing Zhai, Yong Jiang, Zhifeng Li, Shu-Tao Xia:
Backdoor Attack in the Physical World. CoRR abs/2104.02361 (2021) - [i68]Yanjie Li, Shoukui Zhang, Zhicheng Wang, Sen Yang, Wankou Yang, Shu-Tao Xia, Erjin Zhou:
TokenPose: Learning Keypoint Tokens for Human Pose Estimation. CoRR abs/2104.03516 (2021) - [i67]Bowen Zhao, Chen Chen, Qi Ju, Shutao Xia:
Energy Aligning for Biased Models. CoRR abs/2106.03343 (2021) - [i66]Jiying Zhang, Yuzhao Chen, Xi Xiao, Runiu Lu, Shu-Tao Xia:
Learnable Hypergraph Laplacian for Hypergraph Learning. CoRR abs/2106.05701 (2021) - [i65]Jiying Zhang, Yuzhao Chen, Xi Xiao, Runiu Lu, Shu-Tao Xia:
Learnable Hypergraph Laplacian for Hypergraph Learning. CoRR abs/2106.06666 (2021) - [i64]Peidong Liu, Zibin He, Xiyu Yan, Yong Jiang, Shutao Xia, Feng Zheng, Maowei Hu:
WeClick: Weakly-Supervised Video Semantic Segmentation with Click Annotations. CoRR abs/2107.03088 (2021) - [i63]Yanjie Li, Sen Yang, Shoukui Zhang, Zhicheng Wang, Wankou Yang, Shu-Tao Xia, Erjin Zhou:
Is 2D Heatmap Representation Even Necessary for Human Pose Estimation? CoRR abs/2107.03332 (2021) - [i62]Jinpeng Wang, Ziyun Zeng, Bin Chen, Tao Dai, Shu-Tao Xia:
Contrastive Quantization with Code Memory for Unsupervised Image Retrieval. CoRR abs/2109.05205 (2021) - [i61]Ziyun Zeng, Jinpeng Wang, Bin Chen, Tao Dai, Shu-Tao Xia:
Pyramid Hybrid Pooling Quantization for Efficient Fine-Grained Image Retrieval. CoRR abs/2109.05206 (2021) - [i60]Kuofeng Gao, Jiawang Bai, Bin Chen, Dongxian Wu, Shu-Tao Xia:
Clean-label Backdoor Attack against Deep Hashing based Retrieval. CoRR abs/2109.08868 (2021) - [i59]Sen Yang, Zhicheng Wang, Ze Chen, Yanjie Li, Shoukui Zhang, Zhibin Quan, Shu-Tao Xia, Yiping Bao, Erjin Zhou, Wankou Yang:
Attend to Who You Are: Supervising Self-Attention for Keypoint Detection and Instance-Aware Association. CoRR abs/2111.12892 (2021) - [i58]Yang Bai, Xin Yan, Yong Jiang, Shu-Tao Xia, Yisen Wang:
Clustering Effect of (Linearized) Adversarial Robust Models. CoRR abs/2111.12922 (2021) - [i57]Bowen Zhao, Chen Chen, Qi Ju, Shutao Xia:
Learning Debiased Models with Dynamic Gradient Alignment and Bias-conflicting Sample Mining. CoRR abs/2111.13108 (2021) - [i56]Yiming Li, Linghui Zhu, Xiaojun Jia, Yong Jiang, Shu-Tao Xia, Xiaochun Cao:
Defending against Model Stealing via Verifying Embedded External Features. CoRR abs/2112.03476 (2021) - 2020
- [j56]Jie Hao, Kenneth W. Shum, Shu-Tao Xia, Deyin Li:
Optimal Locally Repairable Codes for Parallel Reading. IEEE Access 8: 80447-80453 (2020) - [j55]Xiyu Yan, Huihui Gong, Yong Jiang, Shu-Tao Xia, Feng Zheng, Xinge You, Ling Shao:
Video scene parsing: An overview of deep learning methods and datasets. Comput. Vis. Image Underst. 201: 103077 (2020) - [j54]Jiawei Li, Yiming Li, Xingchun Xiang, Shu-Tao Xia, Siyi Dong, Yun Cai:
TNT: An Interpretable Tree-Network-Tree Learning Framework using Knowledge Distillation. Entropy 22(11): 1203 (2020) - [j53]Jiacheng Yang, Bin Chen, Shu-Tao Xia:
Mean-removed product quantization for large-scale image retrieval. Neurocomputing 406: 77-88 (2020) - [j52]Zhendong Peng, Xi Xiao, Guangwu Hu, Arun Kumar Sangaiah, Mohammed Atiquzzaman, Shutao Xia:
ABFL: An autoencoder based practical approach for software fault localization. Inf. Sci. 510: 108-121 (2020) - [j51]Xi Xiao, Dianyan Zhang, Guangwu Hu, Yong Jiang, Shutao Xia:
CNN-MHSA: A Convolutional Neural Network and multi-head self-attention combined approach for detecting phishing websites. Neural Networks 125: 303-312 (2020) - [j50]Jie Hao, Shu-Tao Xia, Kenneth W. Shum, Bin Chen, Fang-Wei Fu, Yixian Yang:
Bounds and Constructions of Locally Repairable Codes: Parity-Check Matrix Approach. IEEE Trans. Inf. Theory 66(12): 7465-7474 (2020) - [j49]Songtao Wang, Dan Li, Yang Cheng, Jinkun Geng, Yanshu Wang, Shuai Wang, Shutao Xia, Jianping Wu:
A Scalable, High-Performance, and Fault-Tolerant Network Architecture for Distributed Machine Learning. IEEE/ACM Trans. Netw. 28(4): 1752-1764 (2020) - [c127]Yan Feng, Bin Chen, Tao Dai, Shu-Tao Xia:
Adversarial Attack on Deep Product Quantization Network for Image Retrieval. AAAI 2020: 10786-10793 - [c126]Xuesong Chen, Xiyu Yan, Feng Zheng, Yong Jiang, Shu-Tao Xia, Yong Zhao, Rongrong Ji:
One-Shot Adversarial Attacks on Visual Tracking With Dual Attention. CVPR 2020: 10173-10182 - [c125]Bowen Zhao, Xi Xiao, Guojun Gan, Bin Zhang, Shu-Tao Xia:
Maintaining Discrimination and Fairness in Class Incremental Learning. CVPR 2020: 13205-13214 - [c124]Yang Bai, Yuyuan Zeng, Yong Jiang, Yisen Wang, Shu-Tao Xia, Weiwei Guo:
Improving Query Efficiency of Black-Box Adversarial Attack. ECCV (25) 2020: 101-116 - [c123]Jiawang Bai, Bin Chen, Yiming Li, Dongxian Wu, Weiwei Guo, Shu-Tao Xia, En-Hui Yang:
Targeted Attack for Deep Hashing Based Retrieval. ECCV (1) 2020: 618-634 - [c122]Haoyu Liang, Zhihao Ouyang, Yuyuan Zeng, Hang Su, Zihao He, Shu-Tao Xia, Jun Zhu, Bo Zhang:
Training Interpretable Convolutional Neural Networks by Differentiating Class-Specific Filters. ECCV (2) 2020: 622-638 - [c121]Haoxiang Zhong, Xiyu Yan, Yong Jiang, Shu-Tao Xia:
Improved Real-Time Visual Tracking via Adversarial Learning. ICASSP 2020: 1853-1857 - [c120]Peidong Liu, Xiyu Yan, Yong Jiang, Shu-Tao Xia:
Deep Flow Collaborative Network for Online Visual Tracking. ICASSP 2020: 2598-2602 - [c119]Xiyu Yan, Xuesong Chen, Yong Jiang, Shu-Tao Xia, Yong Zhao, Feng Zheng:
Hijacking Tracker: A Powerful Adversarial Attack on Visual Tracking. ICASSP 2020: 2897-2901 - [c118]Bowen Zhao, Xi Xiao, Wanpeng Zhang, Bin Zhang, Guojun Gan, Shutao Xia:
Self-Paced Probabilistic Principal Component Analysis For Data With Outliers. ICASSP 2020: 3737-3741 - [c117]Yuyuan Zeng, Tao Dai, Shu-Tao Xia:
Corrdrop: Correlation Based Dropout for Convolutional Neural Networks. ICASSP 2020: 3742-3746 - [c116]Xinyi Liu, Yang Bai, Shu-Tao Xia, Yong Jiang:
Self-Adaptive Feature Fool. ICASSP 2020: 4177-4181 - [c115]Zibin He, Tao Dai, Jian Lu, Yong Jiang, Shu-Tao Xia:
Fakd: Feature-Affinity Based Knowledge Distillation for Efficient Image Super-Resolution. ICIP 2020: 518-522 - [c114]Yuzhao Chen, Xi Xiao, Tao Dai, Shu-Tao Xia:
Hrnet: Hamiltonian Rescaling Network for Image Downscaling. ICIP 2020: 523-527 - [c113]Yuzhao Chen, Tao Dai, Xi Xiao, Jian Lu, Shu-Tao Xia:
Enhanced Image Restoration Via Supervised Target Feature Transfer. ICIP 2020: 1028-1032 - [c112]Jia Xu, Yiming Li, Yong Jiang, Shu-Tao Xia:
Adversarial Defense Via Local Flatness Regularization. ICIP 2020: 2196-2200 - [c111]Dongxian Wu, Yisen Wang, Shu-Tao Xia, James Bailey, Xingjun Ma:
Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets. ICLR 2020 - [c110]Xianbin Lv, Dongxian Wu, Shu-Tao Xia:
Matrix Smoothing: A Regularization For Dnn With Transition Matrix Under Noisy Labels. ICME 2020: 1-6 - [c109]Qiang Li, Tao Dai, Shu-Tao Xia:
Progressive Splitting and Upscaling Structure for Super-Resolution. ICPR 2020: 8885-8891 - [c108]Shudeng Wu, Tao Dai, Guanghao Meng, Bin Chen, Jian Lu, Shu-Tao Xia:
Transferable Adversarial Attacks for Deep Scene Text Detection. ICPR 2020: 8945-8951 - [c107]Guanghao Meng, Tao Dai, Shudeng Wu, Bin Chen, Jian Lu, Yong Jiang, Shu-Tao Xia:
Sample-aware Data Augmentor for Scene Text Recognition. ICPR 2020: 9378-9385 - [c106]Yinghua Gao, Naiqi Li, Ning Ding, Yiming Li, Tao Dai, Shu-Tao Xia:
Generalized Local Aggregation for Large Scale Gaussian Process Regression. IJCNN 2020: 1-8 - [c105]Wenjie Li, Xue Yang, Xiaohu Tang, Shutao Xia:
SDCN: Sparsity and Diversity Driven Correlation Networks for Traffic Demand Forecasting. IJCNN 2020: 1-8 - [c104]Dongxian Wu, Yisen Wang, Zhuobin Zheng, Shu-Tao Xia:
Temporal Calibrated Regularization for Robust Noisy Label Learning. IJCNN 2020: 1-8 - [c103]Jiawei Li, Zhilong Zheng, Yiming Li, Rubao Ma, Shu-Tao Xia:
Multitask Deep Learning for Edge Intelligence Video Surveillance System. INDIN 2020: 579-584 - [c102]Weijun Fang, Bin Chen, Shu-Tao Xia, Fang-Wei Fu:
Complete Characterization of Optimal LRCs with Minimum Distance 6 and Locality 2: Improved Bounds and Constructions. ISIT 2020: 595-599 - [c101]Weijun Fang, Bin Chen, Shu-Tao Xia, Fang-Wei Fu:
Perfect LRCs and k-Optimal LRCs. ISIT 2020: 600-604 - [c100]Jie Hao, Jun Zhang, Shu-Tao Xia, Fang-Wei Fu, Yi-Xian Yang:
Weight Distributions of q-ary Optimal Locally Repairable Codes with Locality 2, Distance 5 and Even Dimension. ISIT 2020: 611-615 - [c99]Jiawei Li, Shu-Tao Xia, Qianggang Ding:
Multi-level Recognition on Falls from Activities of Daily Living. ICMR 2020: 464-471 - [c98]Tao Dai, Yan Feng, Dongxian Wu, Bin Chen, Jian Lu, Yong Jiang, Shu-Tao Xia:
DIPDefend: Deep Image Prior Driven Defense against Adversarial Examples. ACM Multimedia 2020: 1404-1412 - [c97]Naiqi Li, Wenjie Li, Jifeng Sun, Yinghua Gao, Yong Jiang, Shu-Tao Xia:
Stochastic Deep Gaussian Processes over Graphs. NeurIPS 2020 - [c96]Dongxian Wu, Shu-Tao Xia, Yisen Wang:
Adversarial Weight Perturbation Helps Robust Generalization. NeurIPS 2020 - [c95]Guorui Xie, Qing Li, Yong Jiang, Tao Dai, Gengbiao Shen, Rui Li, Richard O. Sinnott, Shutao Xia:
SAM: Self-Attention based Deep Learning Method for Online Traffic Classification. NetAI@SIGCOMM 2020: 14-20 - [i55]Dongxian Wu, Yisen Wang, Shu-Tao Xia, James Bailey, Xingjun Ma:
Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets. CoRR abs/2002.05990 (2020) - [i54]Yan Feng, Xue Yang, Weijun Fang, Shu-Tao Xia, Xiaohu Tang:
Practical and Bilateral Privacy-preserving Federated Learning. CoRR abs/2002.09843 (2020) - [i53]Yan Feng, Bin Chen, Tao Dai, Shutao Xia:
Adversarial Attack on Deep Product Quantization Network for Image Retrieval. CoRR abs/2002.11374 (2020) - [i52]Yiming Li, Baoyuan Wu, Yan Feng, Yanbo Fan, Yong Jiang, Zhifeng Li, Shutao Xia:
Toward Adversarial Robustness via Semi-supervised Robust Training. CoRR abs/2003.06974 (2020) - [i51]Xianbin Lv, Dongxian Wu, Shu-Tao Xia:
Matrix Smoothing: A Regularization for DNN with Transition Matrix under Noisy Labels. CoRR abs/2003.11904 (2020) - [i50]Yiming Li, Tongqing Zhai, Baoyuan Wu, Yong Jiang, Zhifeng Li, Shutao Xia:
Rethinking the Trigger of Backdoor Attack. CoRR abs/2004.04692 (2020) - [i49]Dongxian Wu, Yisen Wang, Shutao Xia:
Revisiting Loss Landscape for Adversarial Robustness. CoRR abs/2004.05884 (2020) - [i48]Jiawang Bai, Bin Chen, Yiming Li, Dongxian Wu, Weiwei Guo, Shu-Tao Xia, En-Hui Yang:
Targeted Attack for Deep Hashing based Retrieval. CoRR abs/2004.07955 (2020) - [i47]