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2020 – today
- 2024
[j96]Jie Hao
, Shu-Tao Xia, Kenneth W. Shum, Bin Chen, Fang-Wei Fu, Yixian Yang:
Optimal ternary locally repairable codes. Des. Codes Cryptogr. 92(9): 2685-2704 (2024)- [j95]Bowen Zhao, Chen Chen, Qian-Wei Wang, Anfeng He, Shu-Tao Xia:
Delving into Identify-Emphasize Paradigm for Combating Unknown Bias. Int. J. Comput. Vis. 132(6): 2310-2330 (2024) - [j94]Jinpeng Wang, Ziyun Zeng, Bin Chen, Yuting Wang, Dongliang Liao, Gongfu Li, Yiru Wang, Shu-Tao Xia:
Hugs Bring Double Benefits: Unsupervised Cross-Modal Hashing with Multi-granularity Aligned Transformers. Int. J. Comput. Vis. 132(8): 2765-2797 (2024) - [j93]Ziyun Zeng, Jinpeng Wang, Bin Chen, Tao Dai, Shu-Tao Xia, Zhi Wang:
Pyramid hybrid pooling quantization for efficient fine-grained image retrieval. Pattern Recognit. Lett. 178: 106-114 (2024) - [j92]Naiqi Li, Zhikang Xia, Yiming Li, Ercan E. Kuruoglu, Yong Jiang, Shu-Tao Xia:
Portfolio Selection via Graph-Aware Gaussian Processes With Generalized Gaussian Likelihood. IEEE Trans. Artif. Intell. 5(2): 505-515 (2024) - [j91]Naiqi Li, Wenjie Li, Yinghua Gao, Yiming Li, Jigang Bao, Ercan E. Kuruoglu, Yong Jiang, Shu-Tao Xia:
Node-Level Graph Regression With Deep Gaussian Process Models. IEEE Trans. Artif. Intell. 5(6): 3257-3269 (2024) - [j90]Tao Dai, Mengxi Ya, Jinmin Li, Xinyi Zhang, Shu-Tao Xia, Zexuan Zhu:
CFGN: A Lightweight Context Feature Guided Network for Image Super-Resolution. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 855-865 (2024) - [j89]Kuofeng Gao, Jiawang Bai, Baoyuan Wu, Mengxi Ya, Shu-Tao Xia:
Imperceptible and Robust Backdoor Attack in 3D Point Cloud. IEEE Trans. Inf. Forensics Secur. 19: 1267-1282 (2024) - [j88]Yinghua Gao, Yiming Li, Xueluan Gong, Zhifeng Li, Shu-Tao Xia, Qian Wang:
Backdoor Attack With Sparse and Invisible Trigger. IEEE Trans. Inf. Forensics Secur. 19: 6364-6376 (2024) - [j87]Weijun Fang, Jingjie Lv, Bin Chen, Shu-Tao Xia, Xiangyu Chen:
New Constructions of MDS Array Codes and Optimal Locally Repairable Array Codes. IEEE Trans. Inf. Theory 70(3): 1806-1822 (2024) - [j86]Weijun Fang, Ran Tao, Fang-Wei Fu, Bin Chen, Shu-Tao Xia:
Bounds and Constructions of Singleton-Optimal Locally Repairable Codes With Small Localities. IEEE Trans. Inf. Theory 70(10): 6842-6856 (2024) - [j85]Yiming Li, Yong Jiang, Zhifeng Li, Shu-Tao Xia:
Backdoor Learning: A Survey. IEEE Trans. Neural Networks Learn. Syst. 35(1): 5-22 (2024) - [j84]Yinghua Gao, Dongxian Wu, Jingfeng Zhang, Guanhao Gan, Shu-Tao Xia, Gang Niu, Masashi Sugiyama:
On the Effectiveness of Adversarial Training Against Backdoor Attacks. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14878-14888 (2024) - [c255]Yuting Wang, Jinpeng Wang, Bin Chen, Ziyun Zeng, Shu-Tao Xia:
GMMFormer: Gaussian-Mixture-Model Based Transformer for Efficient Partially Relevant Video Retrieval. AAAI 2024: 5767-5775 - [c254]Yaohua Zha, Huizhen Ji, Jinmin Li, Rongsheng Li, Tao Dai, Bin Chen, Zhi Wang, Shu-Tao Xia:
Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders. AAAI 2024: 6962-6970 - [c253]Taolin Zhang, Sunan He, Tao Dai, Zhi Wang, Bin Chen, Shu-Tao Xia:
Vision-Language Pre-training with Object Contrastive Learning for 3D Scene Understanding. AAAI 2024: 7296-7304 - [c252]Qian-Wei Wang, Bowen Zhao, Mingyan Zhu, Tianxiang Li, Zimo Liu, Shu-Tao Xia:
Controller-Guided Partial Label Consistency Regularization with Unlabeled Data. AAAI 2024: 15571-15579 - [c251]Jiawang Bai, Kuofeng Gao, Shaobo Min, Shu-Tao Xia, Zhifeng Li, Wei Liu:
BadCLIP: Trigger-Aware Prompt Learning for Backdoor Attacks on CLIP. CVPR 2024: 24239-24250 - [c250]Sheng Yang, Jiawang Bai, Kuofeng Gao, Yong Yang, Yiming Li, Shu-Tao Xia:
Not All Prompts Are Secure: A Switchable Backdoor Attack Against Pre-trained Vision Transfomers. CVPR 2024: 24431-24441 - [c249]Hao Fang, Jiawei Kong, Bin Chen, Tao Dai, Hao Wu, Shu-Tao Xia:
CLIP-Guided Generative Networks for Transferable Targeted Adversarial Attacks. ECCV (28) 2024: 1-19 - [c248]Yixiang Qiu, Hao Fang, Hongyao Yu, Bin Chen, Mei Kang Qiu, Shu-Tao Xia:
A Closer Look at GAN Priors: Exploiting Intermediate Features for Enhanced Model Inversion Attacks. ECCV (32) 2024: 109-126 - [c247]Hang Guo, Jinmin Li, Tao Dai, Zhihao Ouyang, Xudong Ren, Shu-Tao Xia:
MambaIR: A Simple Baseline for Image Restoration with State-Space Model. ECCV (18) 2024: 222-241 - [c246]Taolin Zhang, Jiawang Bai, Zhihe Lu, Dongze Lian, Genping Wang, Xinchao Wang, Shu-Tao Xia:
Parameter-Efficient and Memory-Efficient Tuning for Vision Transformer: A Disentangled Approach. ECCV (45) 2024: 346-363 - [c245]Bolin Jiang, Yuqiu Xie, Jiawei Li, Naiqi Li, Yong Jiang, Shu-Tao Xia:
CAGEN: Controllable Anomaly Generator using Diffusion Model. ICASSP 2024: 3110-3114 - [c244]Yuqi Tan, Yuang Peng, Hao Fang, Bin Chen, Shu-Tao Xia:
WaterDiff: Perceptual Image Watermarks Via Diffusion Model. ICASSP 2024: 3250-3254 - [c243]Peiyuan Liu, Beiliang Wu, Naiqi Li, Tao Dai, Fengmao Lei, Jigang Bao, Yong Jiang, Shu-Tao Xia:
WFTNet: Exploiting Global and Local Periodicity in Long-Term Time Series Forecasting. ICASSP 2024: 5960-5964 - [c242]Tao Dai, Beiliang Wu, Peiyuan Liu, Naiqi Li, Jigang Bao, Yong Jiang, Shu-Tao Xia:
Periodicity Decoupling Framework for Long-term Series Forecasting. ICLR 2024 - [c241]Kuofeng Gao, Yang Bai, Jindong Gu, Shu-Tao Xia, Philip Torr, Zhifeng Li, Wei Liu:
Inducing High Energy-Latency of Large Vision-Language Models with Verbose Images. ICLR 2024 - [c240]Mengxi Ya, Yiming Li, Tao Dai, Bin Wang, Yong Jiang, Shu-Tao Xia:
Towards Faithful XAI Evaluation via Generalization-Limited Backdoor Watermark. ICLR 2024 - [c239]Jinmin Li, Tao Dai, Yaohua Zha, Yilu Luo, Longfei Lu, Bin Chen, Zhi Wang, Shu-Tao Xia, Jingyun Zhang:
Invertible Residual Rescaling Models. IJCAI 2024: 983-991 - [c238]Jinmin Li, Tao Dai, Jingyun Zhang, Kang Liu, Jun Wang, Shaoming Wang, Shu-Tao Xia, Rizen Guo:
Boundary-aware Decoupled Flow Networks for Realistic Extreme Rescaling. IJCAI 2024: 992-1000 - [c237]Yuqiu Xie, Bolin Jiang, Jiawei Li, Naiqi Li, Bin Chen, Tao Dai, Yuang Peng, Shu-Tao Xia:
GladCoder: Stylized QR Code Generation with Grayscale-Aware Denoising Process. IJCAI 2024: 7780-7787 - [c236]Jing Yang, Shu-Tao Xia, Xianfang Wang, Jiangtao Yuan, Fang-Wei Fu:
A Perfect Ideal Hierarchical Secret Sharing Scheme Based on the CRT for Polynomial Rings. ISIT 2024: 321-326 - [c235]Jingjie Lv, Weijun Fang, Shu-Tao Xia, Hanxu Hou:
An Explicit Construction of $q\text{-ary}$ MDS Array Codes and Their Efficient Decoding. ISIT 2024: 915-920 - [c234]Qinshan Zhang, Bin Chen, Tianqu Zhuang, Yong Jiang, Shu-Tao Xia:
Section-Wise Revolving NBP-Like Decoders for QC-LDPC Codes. ISIT 2024: 1397-1402 - [c233]Jing Yang, Shu-Tao Xia, Xianfang Wang, Can Xiang, Fang-Wei Fu:
A New Multi-Receiver Authentication Scheme for General Access Structure. ISIT 2024: 3486-3491 - [c232]Bolin Jiang, Yuqiu Xie, Jiawei Li, Naiqi Li, Bin Chen, Shu-Tao Xia:
IGSPAD: Inverting 3D Gaussian Splatting for Pose-agnostic Anomaly Detection. ACM Multimedia 2024: 10229-10237 - [c231]Longfei Lu, Huachen Gao, Tao Dai, Yaohua Zha, Zhi Hou, Junta Wu, Shu-Tao Xia:
Large Point-to-Gaussian Model for Image-to-3D Generation. ACM Multimedia 2024: 10843-10852 - [c230]Wenjie Li, Zhongren Wang, Jinpeng Wang, Shutao Xia, Jile Zhu, Mingjian Chen, Jiangke Fan, Jia Cheng, Jun Lei:
ReFer: Retrieval-Enhanced Vertical Federated Recommendation for Full Set User Benefit. SIGIR 2024: 1763-1773 - [c229]Wenbo Yu, Bin Chen, Qinshan Zhang, Shu-Tao Xia:
Editable-DeepSC: Cross-Modal Editable Semantic Communication Systems. VTC Spring 2024: 1-5 - [c228]Yushen Li, Jinpeng Wang, Tao Dai, Jieming Zhu, Jun Yuan, Rui Zhang, Shu-Tao Xia:
RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction. WWW (Companion Volume) 2024: 867-870 - [i168]Kuofeng Gao, Yang Bai, Jindong Gu, Shu-Tao Xia, Philip Torr, Zhifeng Li, Wei Liu:
Inducing High Energy-Latency of Large Vision-Language Models with Verbose Images. CoRR abs/2401.11170 (2024) - [i167]Xiang Liu, Jiahong Chen, Bin Chen, Zimo Liu, Baoyi An, Shu-Tao Xia:
Fast Implicit Neural Representation Image Codec in Resource-limited Devices. CoRR abs/2401.12587 (2024) - [i166]Hao Fang, Yixiang Qiu, Hongyao Yu, Wenbo Yu, Jiawei Kong, Baoli Chong, Bin Chen, Xuan Wang, Shu-Tao Xia:
Privacy Leakage on DNNs: A Survey of Model Inversion Attacks and Defenses. CoRR abs/2402.04013 (2024) - [i165]Hang Guo, Jinmin Li, Tao Dai, Zhihao Ouyang, Xudong Ren, Shu-Tao Xia:
MambaIR: A Simple Baseline for Image Restoration with State-Space Model. CoRR abs/2402.15648 (2024) - [i164]Yujun Huang, Bin Chen, Naiqi Li, Baoyi An, Shu-Tao Xia, Yaowei Wang:
MB-RACS: Measurement-Bounds-based Rate-Adaptive Image Compressed Sensing Network. CoRR abs/2402.16855 (2024) - [i163]Peiyuan Liu, Hang Guo, Tao Dai, Naiqi Li, Jigang Bao, Xudong Ren, Yong Jiang, Shu-Tao Xia:
Taming Pre-trained LLMs for Generalised Time Series Forecasting via Cross-modal Knowledge Distillation. CoRR abs/2403.07300 (2024) - [i162]Jinmin Li, Kuofeng Gao, Yang Bai, Jingyun Zhang, Shutao Xia, Yisen Wang:
FMM-Attack: A Flow-based Multi-modal Adversarial Attack on Video-based LLMs. CoRR abs/2403.13507 (2024) - [i161]Yushen Li, Jinpeng Wang, Tao Dai, Jieming Zhu, Jun Yuan, Rui Zhang, Shu-Tao Xia:
RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction. CoRR abs/2404.02249 (2024) - [i160]Hongwei Zhu, Shitao Li, Minjia Shi, Shu-Tao Xia, Patrick Solé:
Some bounds on the cardinality of the b-symbol weight spectrum of codes. CoRR abs/2404.02471 (2024) - [i159]Jinpeng Wang, Bin Chen, Qiang Zhang, Zaiqiao Meng, Shangsong Liang, Shu-Tao Xia:
Weakly Supervised Deep Hyperspherical Quantization for Image Retrieval. CoRR abs/2404.04998 (2024) - [i158]Kuofeng Gao, Jindong Gu, Yang Bai, Shu-Tao Xia, Philip Torr, Wei Liu, Zhifeng Li:
Energy-Latency Manipulation of Multi-modal Large Language Models via Verbose Samples. CoRR abs/2404.16557 (2024) - [i157]Jinmin Li, Tao Dai, Jingyun Zhang, Kang Liu, Jun Wang, Shaoming Wang, Shu-Tao Xia, Rizen Guo:
Boundary-aware Decoupled Flow Networks for Realistic Extreme Rescaling. CoRR abs/2405.02941 (2024) - [i156]Jinmin Li, Tao Dai, Yaohua Zha, Yilu Luo, Longfei Lu, Bin Chen, Zhi Wang, Shu-Tao Xia, Jingyun Zhang:
Invertible Residual Rescaling Models. CoRR abs/2405.02945 (2024) - [i155]Kuofeng Gao, Yang Bai, Jiawang Bai, Yong Yang, Shu-Tao Xia:
Adversarial Robustness for Visual Grounding of Multimodal Large Language Models. CoRR abs/2405.09981 (2024) - [i154]Sheng Yang, Jiawang Bai, Kuofeng Gao, Yong Yang, Yiming Li, Shutao Xia:
Not All Prompts Are Secure: A Switchable Backdoor Attack Against Pre-trained Vision Transformers. CoRR abs/2405.10612 (2024) - [i153]Yuting Wang, Jinpeng Wang, Bin Chen, Tao Dai, Ruisheng Luo, Shu-Tao Xia:
GMMFormer v2: An Uncertainty-aware Framework for Partially Relevant Video Retrieval. CoRR abs/2405.13824 (2024) - [i152]Shiyu Qin, Jinpeng Wang, Yimin Zhou, Bin Chen, Tianci Luo, Baoyi An, Tao Dai, Shutao Xia, Yaowei Wang:
MambaVC: Learned Visual Compression with Selective State Spaces. CoRR abs/2405.15413 (2024) - [i151]Yaohua Zha, Naiqi Li, Yanzi Wang, Tao Dai, Hang Guo, Bin Chen, Zhi Wang, Zhihao Ouyang, Shu-Tao Xia:
LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling. CoRR abs/2405.17149 (2024) - [i150]Wenbo Yu, Hao Fang, Bin Chen, Xiaohang Sui, Chuan Chen, Hao Wu, Shu-Tao Xia, Ke Xu:
GI-NAS: Boosting Gradient Inversion Attacks through Adaptive Neural Architecture Search. CoRR abs/2405.20725 (2024) - [i149]Jiarui Yang, Tao Dai, Naiqi Li, Junxi Wu, Peiyuan Liu, Jinmin Li, Jigang Bao, Haigang Zhang, Shutao Xia:
Generative Pre-Trained Diffusion Paradigm for Zero-Shot Time Series Forecasting. CoRR abs/2406.02212 (2024) - [i148]Hao Fang, Jiawei Kong, Wenbo Yu, Bin Chen, Jiawei Li, Shutao Xia, Ke Xu:
One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models. CoRR abs/2406.05491 (2024) - [i147]Xinhao Zhong, Hao Fang, Bin Chen, Xulin Gu, Tao Dai, Meikang Qiu, Shu-Tao Xia:
Hierarchical Features Matter: A Deep Exploration of GAN Priors for Improved Dataset Distillation. CoRR abs/2406.05704 (2024) - [i146]Yuang Peng, Yuxin Cui, Haomiao Tang, Zekun Qi, Runpei Dong, Jing Bai, Chunrui Han, Zheng Ge, Xiangyu Zhang, Shu-Tao Xia:
DreamBench++: A Human-Aligned Benchmark for Personalized Image Generation. CoRR abs/2406.16855 (2024) - [i145]Qian-Wei Wang, Yuqiu Xie, Letian Zhang, Zimo Liu, Shu-Tao Xia:
Pre-Trained Vision-Language Models as Partial Annotators. CoRR abs/2406.18550 (2024) - [i144]Jinmin Li, Kuofeng Gao, Yang Bai, Jingyun Zhang, Shu-Tao Xia:
Video Watermarking: Safeguarding Your Video from (Unauthorized) Annotations by Video-based LLMs. CoRR abs/2407.02411 (2024) - [i143]Taolin Zhang, Jiawang Bai, Zhihe Lu, Dongze Lian, Genping Wang, Xinchao Wang, Shu-Tao Xia:
Parameter-Efficient and Memory-Efficient Tuning for Vision Transformer: A Disentangled Approach. CoRR abs/2407.06964 (2024) - [i142]Yaohua Zha, Yanzi Wang, Tao Dai, Shu-Tao Xia:
Pre-training Point Cloud Compact Model with Partial-aware Reconstruction. CoRR abs/2407.09344 (2024) - [i141]Hao Fang, Jiawei Kong, Bin Chen, Tao Dai, Hao Wu, Shu-Tao Xia:
CLIP-Guided Networks for Transferable Targeted Attacks. CoRR abs/2407.10179 (2024) - [i140]Yixiang Qiu, Hao Fang, Hongyao Yu, Bin Chen, Meikang Qiu, Shu-Tao Xia:
A Closer Look at GAN Priors: Exploiting Intermediate Features for Enhanced Model Inversion Attacks. CoRR abs/2407.13863 (2024) - [i139]Longfei Lu, Huachen Gao, Tao Dai, Yaohua Zha, Zhi Hou, Junta Wu, Shu-Tao Xia:
Large Point-to-Gaussian Model for Image-to-3D Generation. CoRR abs/2408.10935 (2024) - [i138]Yiran Xu, Haoxiang Zhong, Kai Wu, Jialin Li, Yong Liu, Chengjie Wang, Shu-Tao Xia, Hongen Liao:
Anno-incomplete Multi-dataset Detection. CoRR abs/2408.16247 (2024) - [i137]Yujun Huang, Bin Chen, Niu Lian, Baoyi An, Shu-Tao Xia:
3D-GP-LMVIC: Learning-based Multi-View Image Coding with 3D Gaussian Geometric Priors. CoRR abs/2409.04013 (2024) - [i136]Peiyuan Liu, Beiliang Wu, Yifan Hu, Naiqi Li, Tao Dai, Jigang Bao, Shu-Tao Xia:
TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting. CoRR abs/2410.04442 (2024) - [i135]Yixiang Qiu, Hongyao Yu, Hao Fang, Wenbo Yu, Bin Chen, Xuan Wang, Shu-Tao Xia, Ke Xu:
MIBench: A Comprehensive Benchmark for Model Inversion Attack and Defense. CoRR abs/2410.05159 (2024) - [i134]Hang Guo, Tao Dai, Zhihao Ouyang, Taolin Zhang, Yaohua Zha, Bin Chen, Shu-Tao Xia:
ReFIR: Grounding Large Restoration Models with Retrieval Augmentation. CoRR abs/2410.05601 (2024) - [i133]Hongyao Yu, Yixiang Qiu, Hao Fang, Bin Chen, Sijin Yu, Bin Wang, Shu-Tao Xia, Ke Xu:
CALoR: Towards Comprehensive Model Inversion Defense. CoRR abs/2410.05814 (2024) - [i132]Taolin Zhang, Junwei Pan, Jinpeng Wang, Yaohua Zha, Tao Dai, Bin Chen, Ruisheng Luo, Xiaoxiang Deng, Yuan Wang, Ming Yue, Jie Jiang, Shu-Tao Xia:
Towards Scalable Semantic Representation for Recommendation. CoRR abs/2410.09560 (2024) - [i131]Yaohua Zha, Tao Dai, Yanzi Wang, Hang Guo, Taolin Zhang, Zhihao Ouyang, Chunlin Fan, Bin Chen, Ke Chen, Shu-Tao Xia:
Block-to-Scene Pre-training for Point Cloud Hybrid-Domain Masked Autoencoders. CoRR abs/2410.09886 (2024) - [i130]Kuofeng Gao, Tianyu Pang, Chao Du, Yong Yang, Shu-Tao Xia, Min Lin:
Denial-of-Service Poisoning Attacks against Large Language Models. CoRR abs/2410.10760 (2024) - [i129]Taolin Zhang, Jinpeng Wang, Hang Guo, Tao Dai, Bin Chen, Shu-Tao Xia:
BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping. CoRR abs/2410.15430 (2024) - [i128]Hang Guo, Yawei Li, Tao Dai, Shu-Tao Xia, Luca Benini:
IntLoRA: Integral Low-rank Adaptation of Quantized Diffusion Models. CoRR abs/2410.21759 (2024) - 2023
- [j83]Weijun Fang, Bin Chen, Shu-Tao Xia, Fang-Wei Fu, Xiangyu Chen:
Perfect LRCs and k-optimal LRCs. Des. Codes Cryptogr. 91(4): 1209-1232 (2023) - [j82]Weijun Fang, Fang-Wei Fu, Bin Chen, Shu-Tao Xia:
Singleton-optimal LRCs and perfect LRCs via cyclic and constacyclic codes. Finite Fields Their Appl. 91: 102273 (2023) - [j81]Bin Chen, Yan Feng, Tao Dai, Jiawang Bai, Yong Jiang, Shu-Tao Xia, Xuan Wang:
Adversarial Examples Generation for Deep Product Quantization Networks on Image Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1388-1404 (2023) - [j80]Jiawang Bai, Baoyuan Wu, Zhifeng Li, Shu-Tao Xia:
Versatile Weight Attack via Flipping Limited Bits. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13653-13665 (2023) - [j79]Yang Bai, Yisen Wang, Yuyuan Zeng, Yong Jiang, Shu-Tao Xia:
Query efficient black-box adversarial attack on deep neural networks. Pattern Recognit. 133: 109037 (2023) - [j78]Sen Yang, Ze Feng, Zhicheng Wang, Yanjie Li, Shoukui Zhang, Zhibin Quan, Shutao Xia, Wankou Yang:
Detecting and grouping keypoints for multi-person pose estimation using instance-aware attention. Pattern Recognit. 136: 109232 (2023) - [j77]Yinghua Gao, Yiming Li, Linghui Zhu, Dongxian Wu, Yong Jiang, Shu-Tao Xia:
Not All Samples Are Born Equal: Towards Effective Clean-Label Backdoor Attacks. Pattern Recognit. 139: 109512 (2023) - [j76]Yuyuan Zeng, Bowen Zhao, Shanzhao Qiu, Tao Dai, Shu-Tao Xia:
Toward Effective Image Manipulation Detection With Proposal Contrastive Learning. IEEE Trans. Circuits Syst. Video Technol. 33(9): 4703-4714 (2023) - [j75]Yiming Li, Mingyan Zhu, Xue Yang, Yong Jiang, Tao Wei, Shu-Tao Xia:
Black-Box Dataset Ownership Verification via Backdoor Watermarking. IEEE Trans. Inf. Forensics Secur. 18: 2318-2332 (2023) - [j74]Jingjie Lv, Weijun Fang, Xiangyu Chen, Jing Yang, Shu-Tao Xia:
New Constructions of q-Ary MDS Array Codes With Multiple Parities and Their Effective Decoding. IEEE Trans. Inf. Theory 69(11): 7082-7098 (2023) - [c227]Sunan He, Taian Guo, Tao Dai, Ruizhi Qiao, Xiujun Shu, Bo Ren, Shu-Tao Xia:
Open-Vocabulary Multi-Label Classification via Multi-Modal Knowledge Transfer. AAAI 2023: 808-816 - [c226]Jinmin Li, Tao Dai, Mingyan Zhu, Bin Chen, Zhi Wang, Shu-Tao Xia:
FSR: A General Frequency-Oriented Framework to Accelerate Image Super-resolution Networks. AAAI 2023: 1343-1350 - [c225]Yuting Wang, Jinpeng Wang, Bin Chen, Ziyun Zeng, Shu-Tao Xia:
Contrastive Masked Autoencoders for Self-Supervised Video Hashing. AAAI 2023: 2733-2741 - [c224]Bowen Zhao, Chen Chen, Qian-Wei Wang, Anfeng He, Shutao Xia:
Combating Unknown Bias with Effective Bias-Conflicting Scoring and Gradient Alignment. AAAI 2023: 3561-3569 - [c223]Yujun Huang, Bin Chen, Shiyu Qin, Jiawei Li, Yaowei Wang, Tao Dai, Shu-Tao Xia:
Learned Distributed Image Compression with Multi-Scale Patch Matching in Feature Domain. AAAI 2023: 4322-4329 - [c222]Lingyu Yang, Hongjia Li, Lei Li, Chengyin Xu, Shutao Xia, Chun Yuan:
LET: Leveraging Error Type Information for Grammatical Error Correction. ACL (Findings) 2023: 5986-5998 - [c221]Kuofeng Gao, Jiawang Bai, Bin Chen, Dongxian Wu, Shu-Tao Xia:
Backdoor Attack on Hash-based Image Retrieval via Clean-label Data Poisoning. BMVC 2023: 172-173 - [c220]Chen-Hui Song, Xi Xiao, Bin Zhang, Shu-Tao Xia:
Follow the Will of the Market: A Context-Informed Drift-Aware Method for Stock Prediction. CIKM 2023: 2311-2320 - [c219]Kuofeng Gao, Yang Bai, Jindong Gu, Yong Yang, Shu-Tao Xia:
Backdoor Defense via Adaptively Splitting Poisoned Dataset. CVPR 2023: 4005-4014 - [c218]Ziyun Zeng, Yuying Ge, Xihui Liu, Bin Chen, Ping Luo, Shu-Tao Xia, Yixiao Ge:
Learning Transferable Spatiotemporal Representations from Natural Script Knowledge. CVPR 2023: 23079-23089 - [c217]Chengxiao Luo, Yiming Li, Yong Jiang, Shu-Tao Xia:
Untargeted Backdoor Attack Against Object Detection. ICASSP 2023: 1-5 - [c216]Guanghao Meng, Tao Dai, Bin Chen, Naiqi Li, Yong Jiang, Shu-Tao Xia:
Difficulty-Aware Data Augmentor for Scene Text Recognition. ICASSP 2023: 1-5 - [c215]Jianyu Xiong, Tao Dai, Yaohua Zha, Xin Wang, Shu-Tao Xia:
Semantic Preserving Learning for Task-Oriented Point Cloud Downsampling. ICASSP 2023: 1-5 - [c214]Tong Xu, Yiming Li, Yong Jiang, Shu-Tao Xia:
BATT: Backdoor Attack with Transformation-Based Triggers. ICASSP 2023: 1-5 - [c213]Sheng Yang, Yiming Li, Yong Jiang, Shu-Tao Xia:
Backdoor Defense via Suppressing Model Shortcuts. ICASSP 2023: 1-5 - [c212]Yaohua Zha, Rongsheng Li, Tao Dai, Jianyu Xiong, Xin Wang, Shu-Tao Xia:
SFR: Semantic-Aware Feature Rendering of Point Cloud. ICASSP 2023: 1-5 - [c211]Qinshan Zhang, Bin Chen, Yujun Huang, Shu-Tao Xia:
Adaptive ProductAE: SNR-Aware Adaptive Decoding of Neural Product Codes. ICC 2023: 6337-6342 - [c210]Jianshuo Dong, Han Qiu, Yiming Li, Tianwei Zhang, Yuanjie Li, Zeqi Lai, Chao Zhang, Shu-Tao Xia:
One-bit Flip is All You Need: When Bit-flip Attack Meets Model Training. ICCV 2023: 4665-4675 - [c209]Guanhao Gan, Yiming Li, Dongxian Wu, Shu-Tao Xia:
Towards Robust Model Watermark via Reducing Parametric Vulnerability. ICCV 2023: 4728-4738 - [c208]Hao Fang, Bin Chen, Xuan Wang, Zhi Wang, Shu-Tao Xia:
GIFD: A Generative Gradient Inversion Method with Feature Domain Optimization. ICCV 2023: 4944-4953 - [c207]Xinyi Zhang, Naiqi Li, Jiawei Li, Tao Dai, Yong Jiang, Shu-Tao Xia:
Unsupervised Surface Anomaly Detection with Diffusion Probabilistic Model. ICCV 2023: 6759-6768 - [c206]Yaohua Zha, Jinpeng Wang, Tao Dai, Bin Chen, Zhi Wang, Shu-Tao Xia:
Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models. ICCV 2023: 14115-14124 - [c205]Mingqing Wang, Jiawei Li, Zhenyang Li, Chengxiao Luo, Bin Chen, Shu-Tao Xia, Zhi Wang:
Unsupervised Anomaly Detection with Local-Sensitive VQVAE and Global-Sensitive Transformers. ICIP 2023: 1080-1084 - [c204]Tianxiang Li, Bin Chen, Qian-Wei Wang, Yujun Huang, Shu-Tao Xia:
LKBQ: Pushing the Limit of Post-Training Quantization to Extreme 1 bit. ICIP 2023: 1775-1779 - [c203]Jiajun Fan, Yuzheng Zhuang, Yuecheng Liu, Jianye Hao, Bin Wang, Jiangcheng Zhu, Hao Wang, Shu-Tao Xia:
Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection. ICLR 2023 - [c202]Bowen Zhao, Chen Chen, Shu-Tao Xia:
Delta: Degradation-Free Fully Test-Time Adaptation. ICLR 2023 - [c201]Hang Guo, Tao Dai, Guanghao Meng, Shu-Tao Xia:
Towards Robust Scene Text Image Super-resolution via Explicit Location Enhancement. IJCAI 2023: 782-790 - [c200]Xinyi Zhang, Tao Dai, Bin Chen, Shu-Tao Xia:
DDA: A Dynamic Difficulty-aware Data Augmenter for Image Super-resolution. IJCNN 2023: 1-8 - [c199]Rui Yu, Fei Xiao, Zhiliang Wang, Jiahai Yang, Dongqi Han, Zhihua Wang, Minghui Jin, Chenglong Li, Enhuan Dong, Shutao Xia:
Anomaly Detection in Heterogeneous Time Series Data for Server-Monitoring Tasks. ISCC 2023: 1280-1286 - [c198]Jingjie Lv, Weijun Fang, Bin Chen, Shu-Tao Xia, Xiangyu Chen:
Binary MDS Array Codes with Flexible Array Dimensions and Their Fast Encoding. ISIT 2023: 1249-1254 - [c197]Hang Guo, Tao Dai, Mingyan Zhu, Guanghao Meng, Bin Chen, Zhi Wang, Shu-Tao Xia:
One-stage Low-resolution Text Recognition with High-resolution Knowledge Transfer. ACM Multimedia 2023: 2189-2198 - [c196]Jinpeng Wang, Ziyun Zeng, Yunxiao Wang, Yuting Wang, Xingyu Lu, Tianxiang Li, Jun Yuan, Rui Zhang, Hai-Tao Zheng, Shu-Tao Xia:
MISSRec: Pre-training and Transferring Multi-modal Interest-aware Sequence Representation for Recommendation. ACM Multimedia 2023: 6548-6557 - [c195]Junfeng Guo, Yiming Li, Lixu Wang, Shu-Tao Xia, Heng Huang, Cong Liu, Bo Li:
Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand. NeurIPS 2023 - [c194]Yutao Dong, Qing Li, Kaidong Wu, Ruoyu Li, Dan Zhao, Gareth Tyson, Junkun Peng, Yong Jiang, Shutao Xia, Mingwei Xu:
HorusEye: A Realtime IoT Malicious Traffic Detection Framework using Programmable Switches. USENIX Security Symposium 2023: 571-588 - [i127]Bowen Zhao, Chen Chen, Shu-Tao Xia:
DELTA: degradation-free fully test-time adaptation. CoRR abs/2301.13018 (2023) - [i126]Yiming Li, Mengxi Ya, Yang Bai, Yong Jiang, Shu-Tao Xia:
BackdoorBox: A Python Toolbox for Backdoor Learning. CoRR abs/2302.01762 (2023) - [i125]Bowen Zhao, Chen Chen, Qian-Wei Wang, Anfeng He, Shu-Tao Xia:
Delving into Identify-Emphasize Paradigm for Combating Unknown Bias. CoRR abs/2302.11414 (2023) - [i124]Weijun Fang, Fang-Wei Fu, Bin Chen, Shu-Tao Xia:
Singleton-Optimal LRCs and Perfect LRCs via Cyclic and Constacyclic Codes. CoRR abs/2303.06287 (2023) - [i123]Kuofeng Gao, Yang Bai, Jindong Gu, Yong Yang, Shu-Tao Xia:
Backdoor Defense via Adaptively Splitting Poisoned Dataset. CoRR abs/2303.12993 (2023) - [i122]Mingqing Wang, Jiawei Li, Zhenyang Li, Chengxiao Luo, Bin Chen, Shutao Xia, Zhi Wang:
Unsupervised Anomaly Detection with Local-Sensitive VQVAE and Global-Sensitive Transformers. CoRR abs/2303.17505 (2023) - [i121]Yaohua Zha, Jinpeng Wang, Tao Dai, Bin Chen, Zhi Wang, Shu-Tao Xia:
Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models. CoRR abs/2304.07221 (2023) - [i120]Jiajun Fan, Yuzheng Zhuang, Yuecheng Liu, Jianye Hao, Bin Wang, Jiangcheng Zhu, Hao Wang, Shu-Tao Xia:
Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection. CoRR abs/2305.05239 (2023) - [i119]Taolin Zhang, Sunan He, Tao Dai, Bin Chen, Zhi Wang, Shu-Tao Xia:
Vision-Language Pre-training with Object Contrastive Learning for 3D Scene Understanding. CoRR abs/2305.10714 (2023) - [i118]Ziyun Zeng, Yixiao Ge, Zhan Tong, Xihui Liu, Shu-Tao Xia, Ying Shan:
TVTSv2: Learning Out-of-the-box Spatiotemporal Visual Representations at Scale. CoRR abs/2305.14173 (2023) - [i117]Xiaojin Zhang, Wenjie Li, Kai Chen, Shutao Xia, Qiang Yang:
Theoretically Principled Federated Learning for Balancing Privacy and Utility. CoRR abs/2305.15148 (2023) - [i116]Yinghua Gao, Yiming Li, Xueluan Gong, Shu-Tao Xia, Qian Wang:
Backdoor Attack with Sparse and Invisible Trigger. CoRR abs/2306.06209 (2023) - [i115]Hang Guo, Tao Dai, Guanghao Meng, Shu-Tao Xia:
Towards Robust Scene Text Image Super-resolution via Explicit Location Enhancement. CoRR abs/2307.09749 (2023) - [i114]Hang Guo, Tao Dai, Mingyan Zhu, Guanghao Meng, Bin Chen, Zhi Wang, Shu-Tao Xia:
One-stage Low-resolution Text Recognition with High-resolution Knowledge Transfer. CoRR abs/2308.02770 (2023) - [i113]Hao Fang, Bin Chen, Xuan Wang, Zhi Wang, Shu-Tao Xia:
GIFD: A Generative Gradient Inversion Method with Feature Domain Optimization. CoRR abs/2308.04699 (2023) - [i112]Jianshuo Dong, Han Qiu, Yiming Li, Tianwei Zhang, Yuanjie Li, Zeqi Lai, Chao Zhang, Shu-Tao Xia:
One-bit Flip is All You Need: When Bit-flip Attack Meets Model Training. CoRR abs/2308.07934 (2023) - [i111]Jinpeng Wang, Ziyun Zeng, Yunxiao Wang, Yuting Wang, Xingyu Lu, Tianxiang Li, Jun Yuan, Rui Zhang, Hai-Tao Zheng, Shu-Tao Xia:
MISSRec: Pre-training and Transferring Multi-modal Interest-aware Sequence Representation for Recommendation. CoRR abs/2308.11175 (2023) - [i110]Guanhao Gan, Yiming Li, Dongxian Wu, Shutao Xia:
Towards Robust Model Watermark via Reducing Parametric Vulnerability. CoRR abs/2309.04777 (2023) - [i109]Peiyuan Liu, Beiliang Wu, Naiqi Li, Tao Dai, Fengmao Lei, Jigang Bao, Yong Jiang, Shu-Tao Xia:
WFTNet: Exploiting Global and Local Periodicity in Long-term Time Series Forecasting. CoRR abs/2309.11319 (2023) - [i108]Yuting Wang, Jinpeng Wang, Bin Chen, Ziyun Zeng, Shu-Tao Xia:
GMMFormer: Gaussian-Mixture-Model based Transformer for Efficient Partially Relevant Video Retrieval. CoRR abs/2310.05195 (2023) - [i107]Wenbo Yu, Bin Chen, Qinshan Zhang, Shu-Tao Xia:
Editable-DeepSC: Cross-Modal Editable Semantic Communication Systems. CoRR abs/2310.10347 (2023) - [i106]Junfeng Guo, Yiming Li, Lixu Wang, Shu-Tao Xia, Heng Huang, Cong Liu, Bo Li:
Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand. CoRR abs/2310.14942 (2023) - [i105]Shiyu Qin, Yimin Zhou, Jinpeng Wang, Bin Chen, Baoyi An, Tao Dai, Shu-Tao Xia:
Progressive Learning with Visual Prompt Tuning for Variable-Rate Image Compression. CoRR abs/2311.13846 (2023) - [i104]Shiyu Qin, Bin Chen, Yujun Huang, Baoyi An, Tao Dai, Shu-Tao Xia:
Perceptual Image Compression with Cooperative Cross-Modal Side Information. CoRR abs/2311.13847 (2023) - [i103]Jiawang Bai, Kuofeng Gao, Shaobo Min, Shu-Tao Xia, Zhifeng Li, Wei Liu:
BadCLIP: Trigger-Aware Prompt Learning for Backdoor Attacks on CLIP. CoRR abs/2311.16194 (2023) - [i102]Yiming Li, Mingyan Zhu, Junfeng Guo, Tao Wei, Shu-Tao Xia, Zhan Qin:
Towards Sample-specific Backdoor Attack with Clean Labels via Attribute Trigger. CoRR abs/2312.04584 (2023) - [i101]Hang Guo, Tao Dai, Yuanchao Bai, Bin Chen, Shu-Tao Xia, Zexuan Zhu:
AdaptIR: Parameter Efficient Multi-task Adaptation for Pre-trained Image Restoration Models. CoRR abs/2312.08881 (2023) - [i100]Yaohua Zha, Huizhen Ji, Jinmin Li, Rongsheng Li, Tao Dai, Bin Chen, Zhi Wang, Shu-Tao Xia:
Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders. CoRR abs/2312.10726 (2023) - 2022
- [j73]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) - [j72]Linghui Zhu, Xinyi Liu, Yiming Li, Xue Yang, Shu-Tao Xia, Rongxing Lu:
A Fine-Grained Differentially Private Federated Learning Against Leakage From Gradients. IEEE Internet Things J. 9(13): 11500-11512 (2022) - [j71]Tao Dai, Yan Feng, Bin Chen, Jian Lu, Shu-Tao Xia:
Deep image prior based defense against adversarial examples. Pattern Recognit. 122: 108249 (2022) - [j70]Jiawang Bai, Yiming Li, Jiawei Li, Xue Yang, Yong Jiang, Shu-Tao Xia:
Multinomial random forest. Pattern Recognit. 122: 108331 (2022) - [j69]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) - [j68]Jiawang Bai, Bin Chen, Kuofeng Gao, Xuan Wang, Shu-Tao Xia:
Practical protection against video data leakage via universal adversarial head. Pattern Recognit. 131: 108834 (2022) - [j67]Bowen Zhao, Chen Chen, Xi Xiao, Shutao Xia:
Towards a category-extended object detector with limited data. Pattern Recognit. 132: 108943 (2022) - [j66]Jie Hao, Jun Zhang, Shu-Tao Xia, Fang-Wei Fu, Yixian Yang:
Constructions and Weight Distributions of Optimal Locally Repairable Codes. IEEE Trans. Commun. 70(5): 2895-2908 (2022) - [j65]Xi Xiao, Wentao Xiao, Rui Li, Xiapu Luo, Haitao Zheng, Shutao Xia:
EBSNN: Extended Byte Segment Neural Network for Network Traffic Classification. IEEE Trans. Dependable Secur. Comput. 19(5): 3521-3538 (2022) - [c193]Yiming Li, Linghui Zhu, Xiaojun Jia, Yong Jiang, Shu-Tao Xia, Xiaochun Cao:
Defending against Model Stealing via Verifying Embedded External Features. AAAI 2022: 1464-1472 - [c192]Jinpeng Wang, Ziyun Zeng, Bin Chen, Tao Dai, Shu-Tao Xia:
Contrastive Quantization with Code Memory for Unsupervised Image Retrieval. AAAI 2022: 2468-2476 - [c191]Ziyun Zeng, Jinpeng Wang, Bin Chen, Yuting Wang, Shu-Tao Xia:
Motion-Aware Graph Reasoning Hashing for Self-supervised Video Retrieval. BMVC 2022: 82 - [c190]Jinpeng Wang, Ziyun Zeng, Bin Chen, Yuting Wang, Dongliang Liao, Gongfu Li, Yiru Wang, Shu-Tao Xia:
Hugs Are Better Than Handshakes: Unsupervised Cross-Modal Transformer Hashing with Multi-granularity Alignment. BMVC 2022: 1035 - [c189]Quanyu Dai, Yalei Lv, Jieming Zhu, Junjie Ye, Zhenhua Dong, Rui Zhang, Shu-Tao Xia, Ruiming Tang:
LCD: Adaptive Label Correction for Denoising Music Recommendation. CIKM 2022: 3903-3907 - [c188]Ning Kang, Shanzhao Qiu, Shifeng Zhang, Zhenguo Li, Shutao Xia:
PILC: Practical Image Lossless Compression with an End-to-end GPU Oriented Neural Framework. CVPR 2022: 3729-3738 - [c187]Yan Feng, Baoyuan Wu, Yanbo Fan, Li Liu, Zhifeng Li, Shu-Tao Xia:
Boosting Black-Box Attack with Partially Transferred Conditional Adversarial Distribution. CVPR 2022: 15074-15083 - [c186]Yujun Huang, Bin Chen, Jianghui Zhang, Han Qiu, Shu-Tao Xia:
Compressive sensing based asymmetric semantic image compression for resource-constrained IoT system. DAC 2022: 877-882 - [c185]Jiawang Bai, Li Yuan, Shu-Tao Xia, Shuicheng Yan, Zhifeng Li, Wei Liu:
Improving Vision Transformers by Revisiting High-Frequency Components. ECCV (24) 2022: 1-18 - [c184]Yunxiao Wang, Yanjie Li, Peidong Liu, Tao Dai, Shu-Tao Xia:
NeXT: Towards High Quality Neural Radiance Fields via Multi-skip Transformer. ECCV (32) 2022: 69-86 - [c183]Yanjie Li, Sen Yang, Peidong Liu, Shoukui Zhang, Yunxiao Wang, Zhicheng Wang, Wankou Yang, Shu-Tao Xia:
SimCC: A Simple Coordinate Classification Perspective for Human Pose Estimation. ECCV (6) 2022: 89-106 - [c182]Jiawang Bai, Kuofeng Gao, Dihong Gong, Shu-Tao Xia, Zhifeng Li, Wei Liu:
Hardly Perceptible Trojan Attack Against Neural Networks with Bit Flips. ECCV (5) 2022: 104-121 - [c181]Bowen Zhao, Chen Chen, Xi Xiao, Qi Ju, Shutao Xia:
Energy Alignment for Bias Rectification in Class Incremental Learning. ICASSP 2022: 3513-3517 - [c180]Xinyi Liu, Tao Dai, Shu-Tao Xia, Yong Jiang:
Self-Ensemble Variance Regularization for Domain Adaptation. ICASSP 2022: 3853-3857 - [c179]Jiying Zhang, Yuzhao Chen, Xi Xiao, Runiu Lu, Shu-Tao Xia:
Learnable Hypergraph Laplacian for Hypergraph Learning. ICASSP 2022: 4503-4507 - [c178]Bin Chen, Weijun Fang, Yueqi Chen, Shu-Tao Xia, Fang-Wei Fu, Xiangyu Chen:
Some Results on the Improved Bound and Construction of Optimal $(r, \ \delta)$ LRCs. ICCC 2022: 365-370 - [c177]Mengxi Ya, Tao Dai, Ling Liu, Jieyin Lv, Shu-Tao Xia:
Context Feature Guided Network for Image Super-resolution. ICDIS 2022: 261-266 - [c176]Jianghui Zhang, Bin Chen, Yujun Huang, Han Qiu, Zhi Wang, Shutao Xia:
Improved DC Estimation for JPEG Compression Via Convex Relaxation. ICIP 2022: 2461-2465 - [c175]Hongwei Li, Tao Dai, Yiming Li, Xueyi Zou, Shu-Tao Xia:
Adaptive Local Implicit Image Function for Arbitrary-Scale Super-Resolution. ICIP 2022: 4033-4037 - [c174]Yiming Li, Haoxiang Zhong, Xingjun Ma, Yong Jiang, Shu-Tao Xia:
Few-Shot Backdoor Attacks on Visual Object Tracking. ICLR 2022 - [c173]Ziyu Wei, Xi Xiao, Bin Zhang, Guangwu Hu, Qing Li, Shutao Xia:
Graph Data Augmentation for Node Classification. ICPR 2022: 4899-4905 - [c172]Hongjia Li, Lingyu Yang, Lei Li, Chengyin Xu, Shu-Tao Xia, Chun Yuan:
PTS: A Prompt-based Teacher-Student Network for Weakly Supervised Aspect Detection. IJCNN 2022: 1-8 - [c171]Jifeng Sun, Wentao Fu, Jianwu Lin, Yong Jiang, Shu-Tao Xia:
Deep Portfolio Optimization Modeling based on Conv-Transformers with Graph Attention Mechanism. IJCNN 2022: 1-8 - [c170]Lingyu Yang, Hongjia Li, Lei Li, Chun Yuan, Shu-Tao Xia:
ACEs: Unsupervised Multi-label Aspect Detection with Aspect-category Experts. IJCNN 2022: 1-8 - [c169]Jingjie Lv, Weijun Fang, Bin Chen, Shu-Tao Xia, Xiangyu Chen:
New constructions of binary MDS array codes and locally repairable array codes. ISIT 2022: 2184-2189 - [c168]Tao Jin, Weichao Li, Qing Li, Qianyi Huang, Yong Jiang, Shutao Xia:
FABMon: Enabling Fast and Accurate Network Available Bandwidth Estimation. IWQoS 2022: 1-11 - [c167]Yiming Li, Yang Bai, Yong Jiang, Yong Yang, Shu-Tao Xia, Bo Li:
Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection. NeurIPS 2022 - [c166]Naiqi Li, Wenjie Li, Yong Jiang, Shu-Tao Xia:
Deep Dirichlet process mixture models. UAI 2022: 1138-1147 - [c165]Peidong Liu, Dongliang Liao, Jinpeng Wang, Yangxin Wu, Gongfu Li, Shu-Tao Xia, Jin Xu:
Multi-task Ranking with User Behaviors for Text-video Search. WWW (Companion Volume) 2022: 126-130 - [c164]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 - [c163]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 - [i99]Yiming Li, Haoxiang Zhong, Xingjun Ma, Yong Jiang, Shu-Tao Xia:
Few-Shot Backdoor Attacks on Visual Object Tracking. CoRR abs/2201.13178 (2022) - [i98]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) - [i97]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) - [i96]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) - [i95]Neng Wang, Yang Bai, Kun Yu, Yong Jiang, Shutao Xia, Yan Wang:
Adaptive Frequency Learning in Two-branch Face Forgery Detection. CoRR abs/2203.14315 (2022) - [i94]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) - [i93]Qiang Li, Tao Dai, Shu-Tao Xia:
A Comparative Study of Feature Expansion Unit for 3D Point Cloud Upsampling. CoRR abs/2205.09594 (2022) - [i92]Wenjie Li, Qiaolin Xia, Junfeng Deng, Hao Cheng, Jiangming Liu, Kouying Xue, Yong Cheng, Shu-Tao Xia:
Semi-Supervised Cross-Silo Advertising with Partial Knowledge Transfer. CoRR abs/2205.15987 (2022) - [i91]Ning Kang, Shanzhao Qiu, Shifeng Zhang, Zhenguo Li, Shutao Xia:
PILC: Practical Image Lossless Compression with an End-to-end GPU Oriented Neural Framework. CoRR abs/2206.05279 (2022) - [i90]Sunan He, Taian Guo, Tao Dai, Ruizhi Qiao, Bo Ren, Shu-Tao Xia:
Open-Vocabulary Multi-Label Classification via Multi-modal Knowledge Transfer. CoRR abs/2207.01887 (2022) - [i89]Weijun Fang, Bin Chen, Shu-Tao Xia, Fang-Wei Fu:
Bounds and Constructions of Singleton-Optimal Locally Repairable Codes with Small Localities. CoRR abs/2207.05479 (2022) - [i88]Jiawang Bai, Baoyuan Wu, Zhifeng Li, Shutao Xia:
Versatile Weight Attack via Flipping Limited Bits. CoRR abs/2207.12405 (2022) - [i87]Jiawang Bai, Kuofeng Gao, Dihong Gong, Shu-Tao Xia, Zhifeng Li, Wei Liu:
Hardly Perceptible Trojan Attack against Neural Networks with Bit Flips. CoRR abs/2207.13417 (2022) - [i86]Yiming Li, Linghui Zhu, Xiaojun Jia, Yang Bai, Yong Jiang, Shu-Tao Xia, Xiaochun Cao:
MOVE: Effective and Harmless Ownership Verification via Embedded External Features. CoRR abs/2208.02820 (2022) - [i85]Hongwei Li, Tao Dai, Yiming Li, Xueyi Zou, Shu-Tao Xia:
Adaptive Local Implicit Image Function for Arbitrary-scale Super-resolution. CoRR abs/2208.04318 (2022) - [i84]Kuofeng Gao, Jiawang Bai, Baoyuan Wu, Mengxi Ya, Shu-Tao Xia:
Imperceptible and Robust Backdoor Attack in 3D Point Cloud. CoRR abs/2208.08052 (2022) - [i83]Yujun Huang, Bin Chen, Shiyu Qin, Jiawei Li, Yaowei Wang, Tao Dai, Shu-Tao Xia:
Learned Distributed Image Compression with Multi-Scale Patch Matching in Feature Domai. CoRR abs/2209.02514 (2022) - [i82]Yiming Li, Mingyan Zhu, Xue Yang, Yong Jiang, Shu-Tao Xia:
Black-box Ownership Verification for Dataset Protection via Backdoor Watermarking. CoRR abs/2209.06015 (2022) - [i81]Ziyun Zeng, Yuying Ge, Xihui Liu, Bin Chen, Ping Luo, Shu-Tao Xia, Yixiao Ge:
Learning Transferable Spatiotemporal Representations from Natural Script Knowledge. CoRR abs/2209.15280 (2022) - [i80]Wenjie Li, Qiaolin Xia, Hao Cheng, Kouying Xue, Shu-Tao Xia:
Vertical Semi-Federated Learning for Efficient Online Advertising. CoRR abs/2209.15635 (2022) - [i79]Yiming Li, Yang Bai, Yong Jiang, Yong Yang, Shu-Tao Xia, Bo Li:
Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection. CoRR abs/2210.00875 (2022) - [i78]Yuyuan Zeng, Bowen Zhao, Shanzhao Qiu, Tao Dai, Shu-Tao Xia:
Towards Effective Image Manipulation Detection with Proposal Contrastive Learning. CoRR abs/2210.08529 (2022) - [i77]Qian-Wei Wang, Bowen Zhao, Mingyan Zhu, Tianxiang Li, Zimo Liu, Shu-Tao Xia:
Towards Mitigating the Problem of Insufficient and Ambiguous Supervision in Online Crowdsourcing Annotation. CoRR abs/2210.11194 (2022) - [i76]Tong Xu, Yiming Li, Yong Jiang, Shu-Tao Xia:
BATT: Backdoor Attack with Transformation-based Triggers. CoRR abs/2211.01806 (2022) - [i75]Sheng Yang, Yiming Li, Yong Jiang, Shu-Tao Xia:
Backdoor Defense via Suppressing Model Shortcuts. CoRR abs/2211.05631 (2022) - [i74]Chengxiao Luo, Yiming Li, Yong Jiang, Shu-Tao Xia:
Untargeted Backdoor Attack against Object Detection. CoRR abs/2211.05638 (2022) - [i73]Yuting Wang, Jinpeng Wang, Bin Chen, Ziyun Zeng, Shutao Xia:
Contrastive Masked Autoencoders for Self-Supervised Video Hashing. CoRR abs/2211.11210 (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) - [c162]Jinpeng Wang, Bin Chen, Qiang Zhang, Zaiqiao Meng, Shangsong Liang, Shutao Xia:
Weakly Supervised Deep Hyperspherical Quantization for Image Retrieval. AAAI 2021: 2755-2763 - [c161]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 - [c160]Di Lu, Jinpeng Wang, Ziyun Zeng, Bin Chen, Shudeng Wu, Shu-Tao Xia:
SwinFGHash: Fine-grained Image Retrieval via Transformer-based Hashing Network. BMVC 2021: 432 - [c159]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 - [c158]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 - [c157]Bin Cheng, Tao Dai, Bin Chen, Shutao Xia, Xiu Li:
Efficient Face Manipulation Via Deep Feature Disentanglement And Reintegration Net. ICASSP 2021: 1990-1994 - [c156]Jinpeng Wang, Bin Chen, Tao Dai, Shu-Tao Xia:
Webly Supervised Deep Attentive Quantization. ICASSP 2021: 2250-2254 - [c155]Xue Zhou, Tao Dai, Yong Jiang, Shu-Tao Xia:
Bishift-Net for Image Inpainting. ICASSP 2021: 2470-2474 - [c154]Tongqing Zhai, Yiming Li, Ziqi Zhang, Baoyuan Wu, Yong Jiang, Shu-Tao Xia:
Backdoor Attack Against Speaker Verification. ICASSP 2021: 2560-2564 - [c153]Xiang Liu, Naiqi Li, Shu-Tao Xia:
GDTW: A Novel Differentiable DTW Loss for Time Series Tasks. ICASSP 2021: 2860-2864 - [c152]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 - [c151]Yiming Li, Yang Zhang, Qingtao Tang, Weipéng Huáng, Yong Jiang, Shu-Tao Xia:
t-k-means: A ROBUST AND STABLE k-means VARIANT. ICASSP 2021: 3120-3124 - [c150]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 - [c149]Yinghua Gao, Li Shen, Shu-Tao Xia:
DAG-GAN: Causal Structure Learning with Generative Adversarial Nets. ICASSP 2021: 3320-3324 - [c148]Yiming Li, Peidong Liu, Yong Jiang, Shu-Tao Xia:
Visual Privacy Protection via Mapping Distortion. ICASSP 2021: 3740-3744 - [c147]Zhikang Xia, Bin Chen, Tao Dai, Shu-Tao Xia:
Class Aware Robust Training. ICASSP 2021: 3835-3839 - [c146]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 - [c145]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 - [c144]Yang Bai, Yuyuan Zeng, Yong Jiang, Shu-Tao Xia, Xingjun Ma, Yisen Wang:
Improving Adversarial Robustness via Channel-wise Activation Suppressing. ICLR 2021 - [c143]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 - [c142]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 - [c141]Yunxiao Wang, Tao Dai, Bin Chen, Shutao Xia:
Attribute Structured Knowledge Distillation. IJCNN 2021: 1-8 - [c140]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 - [c139]Xiao Wei, Yao Zhu, Shu-Tao Xia:
Batch Normalization Assisted Adversarial Pruning: Towards Lightweight, Sparse and Robust Models. IJCNN 2021: 1-8 - [c138]Xin Yan, Yanjie Li, Tao Dai, Yang Bai, Shu-Tao Xia:
D2Defend: Dual-Domain based Defense against Adversarial Examples. IJCNN 2021: 1-8 - [c137]Mingyan Zhu, Tao Dai, Shu-Tao Xia, Maowei Hu:
EDKE: Encoder-Decoder based Kernel Estimation for Blind Image Super-resolution. IJCNN 2021: 1-7 - [c136]Weijun Fang, Bin Chen, Shu-Tao Xia, Fang-Wei Fu:
Singleton-Optimal LRCs and Perfect LRCs via Cyclic Codes. ISIT 2021: 3261-3266 - [c135]Jie Hao, Kenneth W. Shum, Shu-Tao Xia, Fang-Wei Fu, Yixian Yang:
On Optimal Quaternary Locally Repairable Codes. ISIT 2021: 3267-3272 - [c134]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 - [c133]Bo Li, Bin Chen, Yunxiao Wang, Tao Dai, Maowei Hu, Yong Jiang, Shutao Xia:
Knowledge Distillation via Channel Correlation Structure. KSEM 2021: 357-368 - [c132]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 - [c131]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 - [c130]Yang Bai, Xin Yan, Yong Jiang, Shu-Tao Xia, Yisen Wang:
Clustering Effect of Adversarial Robust Models. NeurIPS 2021: 29590-29601 - [c129]Jingyan Jiang, Ziyue Luo, Chenghao Hu, Zhaoliang He, Zhi Wang, Shutao Xia, Chuan Wu:
Joint Model and Data Adaptation for Cloud Inference Serving. RTSS 2021: 279-289 - [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) - [c128]Yan Feng, Bin Chen, Tao Dai, Shu-Tao Xia:
Adversarial Attack on Deep Product Quantization Network for Image Retrieval. AAAI 2020: 10786-10793 - [c127]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 - [c126]Bowen Zhao, Xi Xiao, Guojun Gan, Bin Zhang, Shu-Tao Xia:
Maintaining Discrimination and Fairness in Class Incremental Learning. CVPR 2020: 13205-13214 - [c125]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 - [c124]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 - [c123]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 - [c122]Haoxiang Zhong, Xiyu Yan, Yong Jiang, Shu-Tao Xia:
Improved Real-Time Visual Tracking via Adversarial Learning. ICASSP 2020: 1853-1857 - [c121]Peidong Liu, Xiyu Yan, Yong Jiang, Shu-Tao Xia:
Deep Flow Collaborative Network for Online Visual Tracking. ICASSP 2020: 2598-2602 - [c120]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 - [c119]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 - [c118]Yuyuan Zeng, Tao Dai, Shu-Tao Xia:
Corrdrop: Correlation Based Dropout for Convolutional Neural Networks. ICASSP 2020: 3742-3746 - [c117]Xinyi Liu, Yang Bai, Shu-Tao Xia, Yong Jiang:
Self-Adaptive Feature Fool. ICASSP 2020: 4177-4181 - [c116]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 - [c115]Yuzhao Chen, Xi Xiao, Tao Dai, Shu-Tao Xia:
Hrnet: Hamiltonian Rescaling Network for Image Downscaling. ICIP 2020: 523-527 - [c114]Yuzhao Chen, Tao Dai, Xi Xiao, Jian Lu, Shu-Tao Xia:
Enhanced Image Restoration Via Supervised Target Feature Transfer. ICIP 2020: 1028-1032 - [c113]Jia Xu, Yiming Li, Yong Jiang, Shu-Tao Xia:
Adversarial Defense Via Local Flatness Regularization. ICIP 2020: 2196-2200 - [c112]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 - [c111]Xianbin Lv, Dongxian Wu, Shu-Tao Xia:
Matrix Smoothing: A Regularization For Dnn With Transition Matrix Under Noisy Labels. ICME 2020: 1-6 - [c110]Qiang Li, Tao Dai, Shu-Tao Xia:
Progressive Splitting and Upscaling Structure for Super-Resolution. ICPR 2020: 8885-8891 - [c109]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 - [c108]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 - [c107]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 - [c106]Wenjie Li, Xue Yang, Xiaohu Tang, Shutao Xia:
SDCN: Sparsity and Diversity Driven Correlation Networks for Traffic Demand Forecasting. IJCNN 2020: 1-8 - [c105]Dongxian Wu, Yisen Wang, Zhuobin Zheng, Shu-Tao Xia:
Temporal Calibrated Regularization for Robust Noisy Label Learning. IJCNN 2020: 1-8 - [c104]Jiawei Li, Zhilong Zheng, Yiming Li, Rubao Ma, Shu-Tao Xia:
Multitask Deep Learning for Edge Intelligence Video Surveillance System. INDIN 2020: 579-584 - [c103]Xingchun Xiang, Huaixuan Zhang, Shu-Tao Xia:
Label Aggregation of Gradient Boosting Decision Trees. IPMV 2020: 140-145 - [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]Weijun Fang, Jun Zhang, Shu-Tao Xia, Fang-Wei Fu:
A Note on Self-Dual Generalized Reed-Solomon Codes. CoRR abs/2005.11732 (2020) - [i46]Weijun Fang, Shu-Tao Xia, Fang-Wei Fu:
Construction of MDS Euclidean Self-Dual Codes via Two Subsets. CoRR abs/2006.00457 (2020) - [i45]Yan Feng, Baoyuan Wu, Yanbo Fan, Zhifeng Li, Shutao Xia:
Efficient Black-Box Adversarial Attack Guided by the Distribution of Adversarial Perturbations. CoRR abs/2006.08538 (2020) - [i44]Dongxian Wu, Yisen Wang, Zhuobin Zheng, Shutao Xia:
Temporal Calibrated Regularization for Robust Noisy Label Learning. CoRR abs/2007.00240 (2020) - [i43]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. CoRR abs/2007.08194 (2020) - [i42]Yiming Li, Baoyuan Wu, Yong Jiang, Zhifeng Li, Shu-Tao Xia:
Backdoor Learning: A Survey. CoRR abs/2007.08745 (2020) - [i41]Jie Fang, Jianwu Lin, Shutao Xia, Yong Jiang, Zhikang Xia, Xiang Liu:
Neural Network-based Automatic Factor Construction. CoRR abs/2008.06225 (2020) - [i40]Yiming Li, Jiawang Bai, Jiawei Li, Xue Yang, Yong Jiang, Shu-Tao Xia:
Rectified Decision Trees: Exploring the Landscape of Interpretable and Effective Machine Learning. CoRR abs/2008.09413 (2020) - [i39]Yang Bai, Yuyuan Zeng, Yong Jiang, Yisen Wang, Shu-Tao Xia, Weiwei Guo:
Improving Query Efficiency of Black-box Adversarial Attack. CoRR abs/2009.11508 (2020) - [i38]Yiming Li, Ziqi Zhang, Jiawang Bai, Baoyuan Wu, Yong Jiang, Shu-Tao Xia:
Open-sourced Dataset Protection via Backdoor Watermarking. CoRR abs/2010.05821 (2020) - [i37]Xingchun Xiang, Qingtao Tang, Huaixuan Zhang, Tao Dai, Jiawei Li, Shu-Tao Xia:
JSRT: James-Stein Regression Tree. CoRR abs/2010.09022 (2020) - [i36]Tongqing Zhai, Yiming Li, Ziqi Zhang, Baoyuan Wu, Yong Jiang, Shu-Tao Xia:
Backdoor Attack against Speaker Verification. CoRR abs/2010.11607 (2020) - [i35]Shudeng Wu, Tao Dai, Shu-Tao Xia:
DPAttack: Diffused Patch Attacks against Universal Object Detection. CoRR abs/2010.11679 (2020) - [i34]Bowen Zhao, Chen Chen, Wanpeng Xiao, Xi Xiao, Qi Ju, Shutao Xia:
Towards A Category-extended Object Detector without Relabeling or Conflicts. CoRR abs/2012.14115 (2020)
2010 – 2019
- 2019
- [j48]Haoxi Cong, Minhao Zhang, Shu-Tao Xia, Qingmin Li:
Protective Performance of Different Passivators on Oil-Paper Insulation Containing Multiple Corrosive Sulphides. IEEE Access 7: 4083-4090 (2019) - [j47]Jiawei Li, Yiming Li, Jiacheng Yang, Taian Guo, Shu-Tao Xia:
UA-DRN: Unbiased Aggregation of Deep Neural Networks for Regression Ensemble. Aust. J. Intell. Inf. Process. Syst. 15(2): 86-93 (2019) - [j46]Xi Xiao, Rui Li, Haitao Zheng, Runguo Ye, Arun Kumar Sangaiah, Shutao Xia:
Novel dynamic multiple classification system for network traffic. Inf. Sci. 479: 526-541 (2019) - [j45]Jin-Yuan Chen, Hai-Tao Zheng, Yong Jiang, Shu-Tao Xia, Cong-Zhi Zhao:
A probabilistic model for semantic advertising. Knowl. Inf. Syst. 59(2): 387-412 (2019) - [j44]Bin Chen, Weijun Fang, Shu-Tao Xia, Fang-Wei Fu:
Constructions of Optimal $(r, \delta)$ Locally Repairable Codes via Constacyclic Codes. IEEE Trans. Commun. 67(8): 5253-5263 (2019) - [j43]Weizhi Lu, Weiyu Li, Wei Zhang, Shu-Tao Xia:
Expander Recovery Performance of Bipartite Graphs With Girth Greater Than 4. IEEE Trans. Signal Inf. Process. over Networks 5(3): 418-427 (2019) - [c94]Tao Dai, Jianrui Cai, Yongbing Zhang, Shu-Tao Xia, Lei Zhang:
Second-Order Attention Network for Single Image Super-Resolution. CVPR 2019: 11065-11074 - [c93]Zhixiang Wang, Xi Xiao, Guangwu Hu, Yao Yao, Dianyan Zhang, Zhendong Peng, Qing Li, Shutao Xia:
Non-local Self-attention Structure for Function Approximation in Deep Reinforcement Learning. ICASSP 2019: 3042-3046 - [c92]Yang Bai, Yan Feng, Yisen Wang, Tao Dai, Shutao Xia, Yong Jiang:
Hilbert-Based Generative Defense for Adversarial Examples. ICCV 2019: 4783-4792 - [c91]Dario Fuoli, Xiaoyong Shen, Shutao Xia, Yurong Dai, Jiaya Jia, Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Jiayi Ma, Zhiwei Zhong, Shuhang Gu, Chenyang Wang, Junjun Jiang, Xianming Liu, Radu Timofte, Xin Tao, Wenbo Li, Taian Guo, Zijun Deng, Liying Lu, Tao Dai:
AIM 2019 Challenge on Video Extreme Super-Resolution: Methods and Results. ICCV Workshops 2019: 3467-3475 - [c90]Tao Dai, Hua Zha, Yong Jiang, Shu-Tao Xia:
Image Super-Resolution via Residual Block Attention Networks. ICCV Workshops 2019: 3879-3886 - [c89]Jiacheng Yang, Bin Chen, Shu-Tao Xia:
Mean-Removed Product Quantization for Approximate Nearest Neighbor Search. ICDM Workshops 2019: 711-718 - [c88]Qianggang Ding, Fan Yang, Jiawei Li, Sifan Wu, Bowen Zhao, Zhi Wang, Shu-Tao Xia:
RT-ADI: Fast Real-Time Video Representation for Multi-view Human Fall Detection. ICME Workshops 2019: 13-18 - [c87]Xiyu Yan, Yeli Xing, Zihao He, Tao Dai, Yong Jiang, Shu-Tao Xia:
Neural Style Transfer with Content Discrimination. ICME Workshops 2019: 78-83 - [c86]Huaixuan Zhang, Yuhai Lan, Tao Dai, Ruizhi Qiao, Ying Xu, Yao Yao, Shu-Tao Xia:
Residual Frame for Noisy Video Classification According to Perceptual Quality in Convolutional Neural Networks. ICME 2019: 242-247 - [c85]Zhihao Ouyang, Yan Feng, Zihao He, Tianbo Hao, Tao Dai, Shu-Tao Xia:
Attentiondrop for Convolutional Neural Networks. ICME 2019: 1342-1347 - [c84]Taian Guo, Tao Dai, Jiawei Li, Shu-Tao Xia:
Self-attentive Pyramid Network for Single Image De-raining. ICONIP (1) 2019: 390-401 - [c83]Xiyu Yan, Yong Jiang, Shuai Chen, Zihao He, Chunmei Li, Shu-Tao Xia, Tao Dai, Shuo Dong, Feng Zheng:
Automatic Grassland Degradation Estimation Using Deep Learning. IJCAI 2019: 6028-6034 - [c82]Bin Chen, Shu-Tao Xia, Jie Hao:
Improved bounds and Optimal Constructions of Locally Repairable Codes with distance 5 and 6. ISIT 2019: 2823-2827 - [c81]Jie Hao, Kenneth W. Shum, Shu-Tao Xia, Yi-Xian Yang:
Classification of Optimal Ternary (r, δ)-Locally Repairable Codes Attaining the Singleton-like Bound. ISIT 2019: 2828-2832 - [c80]Hongshan Li, Yu Guo, Zhi Wang, Shutao Xia, Wenwu Zhu:
AdaCompress: Adaptive Compression for Online Computer Vision Services. ACM Multimedia 2019: 2440-2448 - [c79]Xiaoteng Ma, Qing Li, Jimeng Chai, Xi Xiao, Shu-Tao Xia, Yong Jiang:
Steward: smart edge based joint QoE optimization for adaptive video streaming. NOSSDAV 2019: 31-36 - [c78]Jiawei Li, Xingchun Xiang, Tao Dai, Shu-Tao Xia:
Making Large Ensemble of Convolutional Neural Networks via Bootstrap Re-sampling. VCIP 2019: 1-4 - [i33]Yiming Li, Jiawang Bai, Qingtao Tang, Yong Jiang, Chun Li, Shutao Xia:
Multinomial Random Forests: Fill the Gap between Theoretical Consistency and Empirical Soundness. CoRR abs/1903.04003 (2019) - [i32]Jiawang Bai, Yiming Li, Jiawei Li, Yong Jiang, Shu-Tao Xia:
Rectified Decision Trees: Towards Interpretability, Compression and Empirical Soundness. CoRR abs/1903.05965 (2019) - [i31]Bowen Zhao, Xi Xiao, Wanpeng Zhang, Bin Zhang, Shutao Xia:
Self-Paced Probabilistic Principal Component Analysis for Data with Outliers. CoRR abs/1904.06546 (2019) - [i30]Yang Zhang, Qingtao Tang, Yiming Li, Weipéng Huáng, Shutao Xia:
t-k-means: A k-means Variant with Robustness and Stability. CoRR abs/1907.07442 (2019) - [i29]Qianggang Ding, Sifan Wu, Hao Sun, Jiadong Guo, Shu-Tao Xia:
Adaptive Regularization of Labels. CoRR abs/1908.05474 (2019) - [i28]Hongshan Li, Yu Guo, Zhi Wang, Shutao Xia, Wenwu Zhu:
AdaCompress: Adaptive Compression for Online Computer Vision Services. CoRR abs/1909.08148 (2019) - [i27]Jia Xu, Yiming Li, Yang Bai, Yong Jiang, Shu-Tao Xia:
Adversarial Defense Via Local Flatness Regularization. CoRR abs/1910.12165 (2019) - [i26]Peidong Liu, Yiming Li, Yong Jiang, Shu-Tao Xia:
Visual Privacy Protection via Mapping Distortion. CoRR abs/1911.01769 (2019) - [i25]Peidong Liu, Xiyu Yan, Yong Jiang, Shu-Tao Xia:
Deep Flow Collaborative Network for Online Visual Tracking. CoRR abs/1911.01786 (2019) - [i24]Bowen Zhao, Xi Xiao, Guojun Gan, Bin Zhang, Shutao Xia:
Maintaining Discrimination and Fairness in Class Incremental Learning. CoRR abs/1911.07053 (2019) - [i23]Jie Fang, Jianwu Lin, Yong Jiang, Shutao Xia:
Prior Knowledge Neural Network for Automatic Feature Construction in Financial Time Series. CoRR abs/1912.06236 (2019) - [i22]Jie Fang, Zhikang Xia, Xiang Liu, Shutao Xia, Yong Jiang, Jianwu Lin:
Alpha Discovery Neural Network based on Prior Knowledge. CoRR abs/1912.11761 (2019) - 2018
- [j42]Xiaohu Tang, Shu-Tao Xia, Chao Tian, Qin Huang, Xiang-Gen Xia:
Special focus on distributed storage coding. Sci. China Inf. Sci. 61(10): 100300:1-100300:2 (2018) - [j41]Tao Dai, Ke Gu, Li Niu, Yong-bing Zhang, Weizhi Lu, Shu-Tao Xia:
Referenceless quality metric of multiply-distorted images based on structural degradation. Neurocomputing 290: 185-195 (2018) - [j40]Yanbo Lu, Xinji Liu, Shu-Tao Xia:
On the Single-Parity Locally Repairable Codes with Multiple Repairable Groups. Inf. 9(11): 265 (2018) - [j39]Bin Chen, Shu-Tao Xia, Jie Hao, Fang-Wei Fu:
Constructions of Optimal Cyclic (r, δ) Locally Repairable Codes. IEEE Trans. Inf. Theory 64(4): 2499-2511 (2018) - [j38]Yisen Wang, Shu-Tao Xia, Qingtao Tang, Jia Wu, Xingquan Zhu:
A Novel Consistent Random Forest Framework: Bernoulli Random Forests. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3510-3523 (2018) - [j37]Weizhi Lu, Tao Dai, Shu-Tao Xia:
Binary Matrices for Compressed Sensing. IEEE Trans. Signal Process. 66(1): 77-85 (2018) - [c77]Tao Dai, Yong-bing Zhang, Li Dong, Lida Li, Xin-Ji Liu, Shu-Tao Xia:
Content-Aware Bilateral Filtering. BigMM 2018: 1-6 - [c76]Yisen Wang, Weiyang Liu, Xingjun Ma, James Bailey, Hongyuan Zha, Le Song, Shu-Tao Xia:
Iterative Learning With Open-Set Noisy Labels. CVPR 2018: 8688-8696 - [c75]Zhiya Xu, Tao Dai, Li Niu, Jiawei Li, Qingtao Tang, Shu-Tao Xia:
Sure-Based Dual Domain Image Denoising. ICASSP 2018: 1418-1422 - [c74]Yang Zhang, Qingtao Tang, Li Niu, Tao Dai, Xi Xiao, Shu-Tao Xia:
Self -Paced Mixture of T Distribution Model. ICASSP 2018: 2796-2800 - [c73]Zhijie Zhu, Qing Li, Shu-Tao Xia, Mingwei Xu:
CAFFE: Congestion-Aware Fast Failure Recovery in Software Defined Networks. ICCCN 2018: 1-9 - [c72]Jiawei Li, Tao Dai, Qingtao Tang, Yeli Xing, Shu-Tao Xia:
Cyclic Annealing Training Convolutional Neural Networks for Image Classification with Noisy Labels. ICIP 2018: 21-25 - [c71]Yeli Xing, Jiawei Li, Tao Dai, Qingtao Tang, Li Niu, Shu-Tao Xia:
Portrait-Aware Artistic Style Transfer. ICIP 2018: 2117-2121 - [c70]Xingjun Ma, Yisen Wang, Michael E. Houle, Shuo Zhou, Sarah M. Erfani, Shu-Tao Xia, Sudanthi N. R. Wijewickrema, James Bailey:
Dimensionality-Driven Learning with Noisy Labels. ICML 2018: 3361-3370 - [c69]Yao Yao, Xi Xiao, Chengping Zhang, Shutao Xia:
Classifying Quality Centrality for Source Localization in Social Networks. ICWS 2018: 295-307 - [c68]Bin Chen, Shu-Tao Xia, Jie Hao, Fang-Wei Fu:
On Optimal Pseudo-cyclic ($r, \delta$) Locally Repairable Codes. ISIT 2018: 1191-1195 - [c67]Jie Hao, Yi-Xian Yang, Kenneth W. Shum, Shu-Tao Xia:
On the Maximal Code Length of Optimal Linear Locally Repairable Codes. ISIT 2018: 1326-1330 - [c66]Bin Chen, Shu-Tao Xia:
Bandwidth Efficiency of Distance-optimal Scalar Locally Repairable Codes. ITW 2018: 1-5 - [c65]Weijun Fang, Fang-Wei Fu, Bin Chen, Shu-Tao Xia:
On Optimal (r, δ)-LRCs with Length n | (q+1). ITW 2018: 1-5 - [c64]Rui Li, Xi Xiao, Shiguang Ni, Haitao Zheng, Shutao Xia:
Byte Segment Neural Network for Network Traffic Classification. IWQoS 2018: 1-10 - [c63]Songtao Wang, Dan Li, Yang Cheng, Jinkun Geng, Yanshu Wang, Shuai Wang, Shu-Tao Xia, Jianping Wu:
BML: A High-performance, Low-cost Gradient Synchronization Algorithm for DML Training. NeurIPS 2018: 4243-4253 - [c62]Jilei Wang, Shiying Luo, Weiyan Shi, Tao Dai, Shu-Tao Xia:
Exploiting Common Characters in Chinese and Japanese to Learn Cross-Lingual Word Embeddings via Matrix Factorization. Rep4NLP@ACL 2018: 113-121 - [i21]Yisen Wang, Weiyang Liu, Xingjun Ma, James Bailey, Hongyuan Zha, Le Song, Shu-Tao Xia:
Iterative Learning with Open-set Noisy Labels. CoRR abs/1804.00092 (2018) - [i20]Xingjun Ma, Yisen Wang, Michael E. Houle, Shuo Zhou, Sarah M. Erfani, Shu-Tao Xia, Sudanthi N. R. Wijewickrema, James Bailey:
Dimensionality-Driven Learning with Noisy Labels. CoRR abs/1806.02612 (2018) - 2017
- [j36]Xi Xiao, Peng Fu, Changsheng Dou, Qing Li, Guangwu Hu, Shutao Xia:
Design and analysis of SEIQR worm propagation model in mobile internet. Commun. Nonlinear Sci. Numer. Simul. 43: 341-350 (2017) - [j35]Dan Li, Songtao Wang, Konglin Zhu, Shutao Xia:
A survey of network update in SDN. Frontiers Comput. Sci. 11(1): 4-12 (2017) - [j34]Yanbo Lu, Jie Hao, Shu-Tao Xia:
On the Single-Parity Locally Repairable Codes. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 100-A(6): 1342-1345 (2017) - [j33]Xi Xiao, Zhenlong Wang, Qing Li, Shu-Tao Xia, Yong Jiang:
Back-propagation neural network on Markov chains from system call sequences: a new approach for detecting Android malware with system call sequences. IET Inf. Secur. 11(1): 8-15 (2017) - [j32]Yisen Wang, Fangbing Liu, Shu-Tao Xia, Jia Wu:
Link sign prediction by Variational Bayesian Probabilistic Matrix Factorization with Student-t Prior. Inf. Sci. 405: 175-189 (2017) - [j31]Qing Li, Mingwei Xu, Qi Li, Dan Wang, Yong Jiang, Shu-Tao Xia, Qingmin Liao:
Scale the Internet routing table by generalized next hops of strict partial order. Inf. Sci. 412: 101-115 (2017) - [j30]Tao Dai, Zhiya Xu, Haoyi Liang, Ke Gu, Qingtao Tang, Yisen Wang, Weizhi Lu, Shu-Tao Xia:
A generic denoising framework via guided principal component analysis. J. Vis. Commun. Image Represent. 48: 340-352 (2017) - [j29]Yisen Wang, Shu-Tao Xia, Jia Wu:
A less-greedy two-term Tsallis Entropy Information Metric approach for decision tree classification. Knowl. Based Syst. 120: 34-42 (2017) - [j28]Tao Dai, Weizhi Lu, Wei Wang, Jilei Wang, Shu-Tao Xia:
Entropy-based bilateral filtering with a new range kernel. Signal Process. 137: 223-234 (2017) - [j27]Xin-Ji Liu, Shu-Tao Xia, Fang-Wei Fu:
Reconstruction Guarantee Analysis of Basis Pursuit for Binary Measurement Matrices in Compressed Sensing. IEEE Trans. Inf. Theory 63(5): 2922-2932 (2017) - [c61]Yisen Wang, Simone Romano, Vinh Nguyen, James Bailey, Xingjun Ma, Shu-Tao Xia:
Unbiased Multivariate Correlation Analysis. AAAI 2017: 2754-2760 - [c60]Hai-Tao Zheng, Xin Yao, Yong Jiang, Shu-Tao Xia, Xi Xiao:
Boost Clickbait Detection Based on User Behavior Analysis. APWeb/WAIM (2) 2017: 73-80 - [c59]Weizhi Lu, Tao Dai, Shu-Tao Xia:
Compressed Sensing Performance of Binary Matrices with Binary Column Correlations. DCC 2017: 151-160 - [c58]Yisen Wang, Shu-Tao Xia:
Unifying attribute splitting criteria of decision trees by Tsallis entropy. ICASSP 2017: 2507-2511 - [c57]Jie Hao, Shu-Tao Xia, Bin Chen:
On the linear codes with (r, δ)-locality for distributed storage. ICC 2017: 1-6 - [c56]Tao Dai, Ke Gu, Zhiya Xu, Qingtao Tang, Haoyi Liang, Yong-bing Zhang, Shu-Tao Xia:
Blind quality assessment of multiply-distorted images based on structural degradation. ICIP 2017: 171-175 - [c55]Tao Dai, Ke Gu, Qingtao Tang, Kwok-Wai Hung, Yong-bing Zhang, Weizhi Lu, Shu-Tao Xia:
Foveated nonlocal dual denoising. ICIP 2017: 1881-1885 - [c54]Zhijie Zhu, Qing Li, Mingwei Xu, Ziyan Song, Shu-Tao Xia:
A customized and cost-efficient backup scheme in software-defined networks. ICNP 2017: 1-6 - [c53]Qingtao Tang, Li Niu, Yisen Wang, Tao Dai, Wangpeng An, Jianfei Cai, Shu-Tao Xia:
Student-t Process Regression with Student-t Likelihood. IJCAI 2017: 2822-2828 - [c52]Qingtao Tang, Tao Dai, Li Niu, Yisen Wang, Shu-Tao Xia, Jianfei Cai:
Robust Survey Aggregation with Student-t Distribution and Sparse Representation. IJCAI 2017: 2829-2835 - [c51]Jie Hao, Shu-Tao Xia, Bin Chen:
On optimal ternary locally repairable codes. ISIT 2017: 171-175 - [c50]Bin Chen, Shu-Tao Xia, Jie Hao:
Locally repairable codes with multiple (ri, δi)-localities. ISIT 2017: 2038-2042 - [c49]Jie Hao, Shu-Tao Xia, Bin Chen, Fang-Wei Fu:
On the weight hierarchy of locally repairable codes. ITW 2017: 31-35 - [c48]Chao-Bing Song, Shaobo Cui, Yong Jiang, Shu-Tao Xia:
Accelerated Stochastic Greedy Coordinate Descent by Soft Thresholding Projection onto Simplex. NIPS 2017: 4838-4847 - [i19]Jie Hao, Shu-Tao Xia, Bin Chen:
On Optimal Ternary Locally Repairable Codes. CoRR abs/1702.05730 (2017) - [i18]Bin Chen, Shu-Tao Xia, Jie Hao:
Locally Repairable Codes with Multiple (ri, δi)-Localities. CoRR abs/1702.05741 (2017) - [i17]Jie Hao, Shu-Tao Xia, Bin Chen, Fang-Wei Fu:
On the Weight Hierarchy of Locally Repairable Codes. CoRR abs/1702.05848 (2017) - 2016
- [j26]Qiang Guo, You He, Tao Jian, Haipeng Wang, Shutao Xia:
An evidence clustering DSmT approximate reasoning method for more than two sources. Digit. Signal Process. 56: 79-92 (2016) - [j25]Jie Hao, Shu-Tao Xia:
Constructions of Optimal Binary Locally Repairable Codes With Multiple Repair Groups. IEEE Commun. Lett. 20(6): 1060-1063 (2016) - [j24]Yong Cui, Lian Wang, Xin Wang, Yisen Wang, Fengyuan Ren, Shu-Tao Xia:
End-to-end coding for TCP. IEEE Netw. 30(2): 68-73 (2016) - [c47]Qingtao Tang, Yisen Wang, Shu-Tao Xia:
Student-t Process Regression with Dependent Student-t Noise. ECAI 2016: 82-89 - [c46]Jie Hao, Shu-Tao Xia, Bin Chen:
On the single-parity locally repairable codes with availability. ICCC 2016: 1-4 - [c45]Yisen Wang, Qingtao Tang, Shu-Tao Xia, Jia Wu, Xingquan Zhu:
Bernoulli Random Forests: Closing the Gap between Theoretical Consistency and Empirical Soundness. IJCAI 2016: 2167-2173 - [c44]Yisen Wang, Shu-Tao Xia:
A novel feature subspace selection method in random forests for high dimensional data. IJCNN 2016: 4383-4389 - [c43]Yisen Wang, Chao-Bing Song, Shu-Tao Xia:
Improving decision trees by Tsallis Entropy Information Metric method. IJCNN 2016: 4729-4734 - [c42]Jie Hao, Shu-Tao Xia, Bin Chen:
Some results on optimal locally repairable codes. ISIT 2016: 440-444 - [c41]Jie Hao, Shu-Tao Xia, Bin Chen:
Recursive bounds for locally repairable codes with multiple repair groups. ISIT 2016: 645-649 - [c40]Jilei Wang, Shiying Luo, Yanning Li, Shu-Tao Xia:
Learning Chinese-Japanese Bilingual Word Embedding by Using Common Characters. KSEM 2016: 82-93 - [c39]Hai-Tao Zheng, Ji-Min Guo, Yong Jiang, Shu-Tao Xia:
Query-Focused Multi-document Summarization Based on Concept Importance. PAKDD (2) 2016: 443-453 - [i16]Jie Hao, Shu-Tao Xia:
Bounds and Constructions of Locally Repairable Codes: Parity-check Matrix Approach. CoRR abs/1601.05595 (2016) - [i15]Chao-Bing Song, Shu-Tao Xia:
Alternating direction algorithms for ℓ0 regularization in compressed sensing. CoRR abs/1604.04424 (2016) - [i14]Chao-Bing Song, Shu-Tao Xia:
Bayesian linear regression with Student-t assumptions. CoRR abs/1604.04434 (2016) - [i13]Chao-Bing Song, Shu-Tao Xia:
Nonextensive information theoretical machine. CoRR abs/1604.06153 (2016) - [i12]Bin Chen, Shu-Tao Xia, Jie Hao, Fang-Wei Fu:
Constructions of Optimal Cyclic (r, δ) Locally Repairable Codes. CoRR abs/1609.01136 (2016) - 2015
- [j23]Qing Li, Kun Zhao, Yong Jiang, Mingwei Xu, Shu-Tao Xia:
SARD: A Smart Approach of Rule Division for fast flow-level consistent update in SDN. Comput. Networks 92: 287-299 (2015) - [j22]Shu-Tao Xia, Xin-Ji Liu, Yong Jiang, Hai-Tao Zheng:
Deterministic Constructions of Binary Measurement Matrices From Finite Geometry. IEEE Trans. Signal Process. 63(4): 1017-1029 (2015) - [c38]Yanbo Lu, Jie Hao, Xin-Ji Liu, Shu-Tao Xia:
Analysis of Repair Cost in Distributed Storage Systems with Fault-Tolerant Coding Strategies. ICA3PP (4) 2015: 358-371 - [c37]Xin-Ji Liu, Shu-Tao Xia, Tao Dai:
Deterministic constructions of binary measurement matrices with various sizes. ICASSP 2015: 3641-3645 - [c36]Pengfei Duan, Qing Li, Yong Jiang, Shu-Tao Xia:
Toward Latency-Aware Dynamic Middlebox Scheduling. ICCCN 2015: 1-8 - [c35]Tao Dai, Chao-Bing Song, Jiping Zhang, Shu-Tao Xia:
PMPA: A patch-based multiscale products algorithm for image denoising. ICIP 2015: 4406-4410 - [c34]Jia-Yue Xu, Shu-Tao Xia:
A Novel \ell ^1 ℓ 1 -graph Based Image Classification Algorithm. ICONIP (1) 2015: 63-70 - [c33]Bo Pan, Shu-Tao Xia:
Matrix-Completion-Based Method for Cold-Start of Distributed Recommender Systems. ICONIP (3) 2015: 592-599 - [c32]Jiping Zhang, Tao Dai, Shu-Tao Xia:
Single-Frame Super-Resolution via Compressive Sampling on Hybrid Reconstructions. ICONIP (3) 2015: 610-618 - [c31]Songtao Wang, Dan Li, Shutao Xia:
The problems and solutions of network update in SDN: A survey. INFOCOM Workshops 2015: 474-479 - [c30]Yalei Tan, Qing Li, Yong Jiang, Shu-Tao Xia:
RAPIT: RTT-Aware Pending Interest Table for Content Centric Networking. IPCCC 2015: 1-8 - [c29]Jia-Yun Li, Shu-Tao Xia, Xin-Ji Liu:
Construction of structured low density lattice codes based on finite fields. ISCC 2015: 643-648 - [c28]Chao-Bing Song, Shu-Tao Xia, Xin-Ji Liu:
Subspace thresholding pursuit: A reconstruction algorithm for compressed sensing. ISIT 2015: 536-540 - [c27]Yanbo Lu, Jie Hao, Xin-Ji Liu, Shu-Tao Xia:
Network coding for data-retrieving in cloud storage systems. NetCod 2015: 51-55 - [c26]Fangbing Liu, Shu-Tao Xia:
Link Prediction in Aligned Heterogeneous Networks. PAKDD (1) 2015: 33-44 - [c25]Xiao Yang, Jianjiang Feng, Jie Zhou, Shutao Xia:
Detection and segmentation of latent fingerprints. WIFS 2015: 1-6 - [i11]Yisen Wang, Chao-Bing Song, Shu-Tao Xia:
Improving Decision Trees Using Tsallis Entropy. CoRR abs/1511.08136 (2015) - 2014
- [j21]Chao-Bing Song, Shu-Tao Xia, Xin-Ji Liu:
Improved Analysis for Subspace Pursuit Algorithm in Terms of Restricted Isometry Constant. IEEE Signal Process. Lett. 21(11): 1365-1369 (2014) - [j20]Fei Zhou, Shu-Tao Xia, Qingmin Liao:
Nonlocal Pixel Selection for Multisurface Fitting-Based Super-Resolution. IEEE Trans. Circuits Syst. Video Technol. 24(12): 2013-2017 (2014) - [c24]Lu Liu, Xin-Ji Liu, Shu-Tao Xia:
Deterministic complex-valued measurement matrices based on Berlekamp-Justesen codes. ChinaSIP 2014: 723-727 - [c23]Hai-Tao Zheng, Shu-Qin Gong, Hao Chen, Yong Jiang, Shu-Tao Xia:
Multi-document Summarization Based on Sentence Clustering. ICONIP (2) 2014: 429-436 - [c22]Hai-Tao Zheng, Jie Zhao, Yichi Zhang, Yong Jiang, Shu-Tao Xia:
An Ontology-Based Approach to Query Suggestion Diversification. ICONIP (2) 2014: 437-444 - [c21]Hai-Tao Zheng, Wenzhen Wu, Yong Jiang, Shu-Tao Xia:
Exploiting Level-Wise Category Links for Semantic Relatedness Computing. ICONIP (2) 2014: 556-564 - [c20]Jun Zhang, Shu-Tao Xia, Ning Gu, Jin-Yi Zhou:
An analysis of scheduling mechanism in wireless network coding. LANMAN 2014: 1-2 - [c19]Jun Zhang, Shu-Tao Xia:
Capacity Region of Wireless Network Coding. NPC 2014: 534-537 - [i10]Xin-Ji Liu, Shu-Tao Xia:
Deterministic Construction of Binary Measurement Matrices with Flexible Sizes. CoRR abs/1407.1756 (2014) - 2013
- [j19]Jin-Yi Zhou, Shu-Tao Xia, Yong Jiang, Hai-Tao Zheng, Laizhong Cui:
Maximum Multiflow in Wireless Network Coding. IEICE Trans. Commun. 96-B(7): 1780-1790 (2013) - [j18]Xi Xiao, Xinguang Tian, Qibin Zhai, Shutao Xia:
Corrigendum to "A variable-length model for masquerade detection" [J. Syst. Softw. 85(2012) 2470-2478]. J. Syst. Softw. 86(3): 868 (2013) - [c18]Hai-Tao Zheng, Qi Li, Yong Jiang, Shu-Tao Xia, Lanshan Zhang:
Exploiting Multiple Features for Learning to Rank in Expert Finding. ADMA (2) 2013: 219-230 - [c17]Chao Dai, Yong Jiang, Shu-Tao Xia, Hai-Tao Zheng, Laizhong Cui:
A traffic localization strategy for peer-to-peer live streaming. ISCC 2013: 495-501 - [c16]Hongke Hu, Yong Jiang, Laizhong Cui, Shu-Tao Xia, Hai-Tao Zheng:
An optimal segment replication strategy in P2P-VoD systems. ISCC 2013: 753-758 - [c15]Xin-Ji Liu, Shu-Tao Xia:
Reconstruction guarantee analysis of binary measurement matrices based on girth. ISIT 2013: 474-478 - [c14]Xin-Ji Liu, Shu-Tao Xia:
Constructions of quasi-cyclic measurement matrices based on array codes. ISIT 2013: 479-483 - [c13]Yong Jiang, Shu-Tao Xia, Xin-Ji Liu, Fang-Wei Fu:
Incorrigible set distributions and unsuccessful decoding probability of linear codes. ISIT 2013: 1042-1046 - [c12]Jin-Yi Zhou, Shu-Tao Xia, Yong Jiang, Hai-Tao Zheng:
A constant approximation for multicast scheduling under physical interference model. WCNC 2013: 187-192 - [i9]Xin-Ji Liu, Shu-Tao Xia:
Reconstruction Guarantee Analysis of Binary Measurement Matrices Based on Girth. CoRR abs/1301.4926 (2013) - [i8]Shu-Tao Xia, Xin-Ji Liu, Yong Jiang, Hai-Tao Zheng:
Sparks and Deterministic Constructions of Binary Measurement Matrices from Finite Geometry. CoRR abs/1301.5952 (2013) - [i7]Chao-Bing Song, Shu-Tao Xia, Xin-Ji Liu:
Improved Analyses for SP and CoSaMP Algorithms in Terms of Restricted Isometry Constants. CoRR abs/1309.6073 (2013) - [i6]Chao-Bing Song, Shu-Tao Xia:
New bounds Under Restricted Isometry for the exact k-sparse recovery via ℓq minimization. CoRR abs/1310.2410 (2013) - [i5]Chao-Bing Song, Shu-Tao Xia:
Subspace Thresholding Pursuit: A Reconstruction Algorithm for Compressed Sensing. CoRR abs/1311.0121 (2013) - 2012
- [j17]Laizhong Cui, Yong Jiang, Jianping Wu, Shu-Tao Xia:
An Optimal Pull-Push Scheduling Algorithm Based on Network Coding for Mesh Peer-to-Peer Live Streaming. IEICE Trans. Commun. 95-B(6): 2022-2033 (2012) - [j16]Xi Xiao, Xinguang Tian, Qibin Zhai, Shutao Xia:
A variable-length model for masquerade detection. J. Syst. Softw. 85(11): 2470-2478 (2012) - [c11]Hai-Tao Zheng, Hao Chen, Yong Jiang, Shu-Tao Xia, Hui-Qiu Li:
A Two-Step Non-redundant Subspace Clustering Approach. CSWS 2012: 201-214 - [c10]Hai-Tao Zheng, Nan Ma, Yong Jiang, Shu-Tao Xia, Hui-Qiu Li:
Exploiting Ontologies to Rank Relationships Between Patents. CSWS 2012: 215-221 - [c9]Hai-Tao Zheng, Shao-Zhou Bai, Shu-Tao Xia, Yong Jiang, Hui-Qiu Li:
Search Results Diversification Based on Swap Minimal Marginal Contribution. CSWS 2012: 223-235 - [c8]Zhen Niu, Hai-Tao Zheng, Yong Jiang, Shu-Tao Xia, Hui-Qiu Li:
Keyword Proximity Search over Large and Complex RDF Database. Web Intelligence 2012: 467-471 - [i4]Jin-Yi Zhou, Shu-Tao Xia, Yong Jiang, Hai-Tao Zheng:
Maximum Multiflow in Wireless Network Coding. CoRR abs/1202.2963 (2012) - 2011
- [j15]Yong Jiang, Shu-Tao Xia, Fang-Wei Fu:
Stopping Set Distributions of Some Reed-Muller Codes. IEEE Trans. Inf. Theory 57(9): 6078-6088 (2011) - [c7]Jin-Yuan Chen, Hai-Tao Zheng, Yong Jiang, Shu-Tao Xia:
An Adaptive Approach to Chinese Semantic Advertising. ICONIP (2) 2011: 169-176 - [c6]Xing Zhao, Hai-Tao Zheng, Yong Jiang, Shu-Tao Xia:
A Lightweight Ontology Learning Method for Chinese Government Documents. ICONIP (2) 2011: 177-184 - [c5]Ming Li, Hai-Tao Zheng, Yong Jiang, Shu-Tao Xia:
PatentRank: An Ontology-based Approach to Patent Search. ICONIP (2) 2011: 399-405 - 2010
- [c4]Ming-Qiu Wang, Shu-Tao Xia, He-Guang Su, Laizhong Cui:
A quantization schema with negligible degradation for LDPC decoder. WCNIS 2010: 243-247 - [c3]He-Guang Su, Ming-Qiu Wang, Shu-Tao Xia:
An effective puncturing scheme for rate-compatible LDPC codes. WCSP 2010: 1-6 - [i3]Yong Jiang, Shu-Tao Xia, Fang-Wei Fu:
Stopping Set Distributions of Some Linear Codes. CoRR abs/1003.0367 (2010)
2000 – 2009
- 2009
- [j14]Shu-Tao Xia, Fang-Wei Fu:
Johnson type bounds on constant dimension codes. Des. Codes Cryptogr. 50(2): 163-172 (2009) - 2008
- [j13]Shu-Tao Xia, Fang-Wei Fu:
Undetected error probability of q -ary constant weight codes. Des. Codes Cryptogr. 48(2): 125-140 (2008) - [j12]Shu-Tao Xia, Fang-Wei Fu, Yong Jiang:
On the minimum average distance of binary constant weight codes. Discret. Math. 308(17): 3847-3859 (2008) - [j11]Shu-Tao Xia, Fang-Wei Fu:
Minimum Pseudoweight and Minimum Pseudocodewords of LDPC Codes. IEEE Trans. Inf. Theory 54(1): 480-485 (2008) - 2007
- [j10]Fang-Wei Fu, Shu-Tao Xia:
The characterization of binary constant weight codes meeting the bound of Fu and Shen. Des. Codes Cryptogr. 43(1): 9-20 (2007) - [i2]Shu-Tao Xia, Fang-Wei Fu:
Johnson Type Bounds on Constant Dimension Codes. CoRR abs/0709.1074 (2007) - 2006
- [j9]Shu-Tao Xia, Fang-Wei Fu:
On the minimum pseudo-codewords of LDPC codes. IEEE Commun. Lett. 10(5): 363-365 (2006) - [j8]Shu-Tao Xia, Fang-Wei Fu:
On the stopping distance of finite geometry LDPC codes. IEEE Commun. Lett. 10(5): 381-383 (2006) - [j7]Shu-Tao Xia:
A Note on the Stopping Redundancy of Linear Codes. J. Comput. Sci. Technol. 21(6): 950-951 (2006) - [j6]Shu-Tao Xia, Fang-Wei Fu, San Ling:
A Lower Bound on the Probability of Undetected Error for Binary Constant Weight Codes. IEEE Trans. Inf. Theory 52(9): 4235-4243 (2006) - [c2]Shu-Tao Xia, Fang-Wei Fu, San Ling:
A Lower Bound on the Probability of Undetected Error for Binary Constant Weight Codes. ISIT 2006: 302-306 - [i1]Shu-Tao Xia, Fang-Wei Fu:
Minimum Pseudo-Weight and Minimum Pseudo-Codewords of LDPC Codes. CoRR abs/cs/0606051 (2006) - 2005
- [j5]Shu-Tao Xia, Fang-Wei Fu, Yong Jiang, San Ling:
The Probability of Undetected Error for Binary Constant-Weight Codes. IEEE Trans. Inf. Theory 51(9): 3364-3373 (2005) - 2000
- [j4]Fang-Wei Fu, Torleiv Kløve, Shu-Tao Xia:
The undetected error probability threshold of m-out-of-n codes. IEEE Trans. Inf. Theory 46(4): 1597-1599 (2000)
1990 – 1999
- 1999
- [j3]Shutao Xia, Fang-Wei Fu:
On the Average Hamming Distance for Binary Codes. Discret. Appl. Math. 92(1): 85-89 (1999) - 1998
- [j2]Shutao Xia, Fang-Wei Fu:
On the Average Hamming Distance for Binary Codes. Discret. Appl. Math. 89(1-3): 269-276 (1998) - [j1]Fang-Wei Fu, Shu-Tao Xia:
Binary Constant-Weight Codes for Error Detection. IEEE Trans. Inf. Theory 44(3): 1294-1299 (1998) - 1997
- [c1]Shutao Xia, Fang-Wei Fu:
Nonperiodic Cyclic Equivalence Classes of Cyclic Codes and Algebraic Constructions of Cyclically Permutable Codes. AAECC 1997: 341-352
Coauthor Index
[j96] [j94] [j93] [j87] [j86] [c255] [c254] [c253] [c249] [c248] [c244] [c239] [c237] [c234] [c232] [c229] [i167] [i166] [i164] [i159] [i156] [i153] [i152] [i151] [i150] [i148] [i147] [i141] [i140] [i137] [i135] [i134] [i133] [i132] [i131] [i129] [j83] [j82] [j81] [c226] [c225] [c223] [c221] [c218] [c216] [c211] [c208] [c206] [c205] [c204] [c200] [c198] [c197] [i124] [i122] [i121] [i119] [i114] [i113] [i108] [i107] [i105] [i104] [i101] [i100] [j71] [j68] [c192] [c191] [c190] [c186] [c178] [c176] [c169] [c163] [i98] [i97] [i89] [i83] [i81] [i73] [j61] [j59] [c162] [c160] [c158] [c157] [c156] [c147] [c141] [c136] [c133] [c132] [i62] [i61] [i60] [j53] [j50] [c128] [c124] [c109] [c108] [c102] [c101] [c98] [i53] [i48] [j44] [c89] [c82] [j39] [c68] [c66] [c65] [c57] [c51] [c50] [c49] [i19] [i18] [i17] [c46] [c42] [c41] [i12]
[j93] [j90] [c254] [c253] [c249] [c247] [c243] [c242] [c240] [c239] [c238] [c237] [c231] [c228] [i165] [i163] [i161] [i157] [i156] [i153] [i152] [i151] [i149] [i147] [i142] [i141] [i139] [i136] [i134] [i132] [i131] [i129] [i128] [j81] [j76] [c227] [c226] [c223] [c216] [c215] [c212] [c207] [c206] [c201] [c200] [c197] [i121] [i119] [i115] [i114] [i109] [i105] [i104] [i101] [i100] [j71] [c192] [c184] [c180] [c177] [c175] [i93] [i90] [i85] [i83] [i78] [j62] [j61] [c161] [c158] [c157] [c156] [c155] [c147] [c141] [c138] [c137] [c133] [c132] [i62] [i61] [c128] [c118] [c116] [c115] [c114] [c110] [c109] [c108] [c107] [c98] [c95] [i53] [i37] [i35] [c94] [c92] [c91] [c90] [c87] [c86] [c85] [c84] [c83] [c78] [j41] [j37] [c77] [c75] [c74] [c72] [c71] [c62] [j30] [j28] [c59] [c56] [c55] [c53] [c52] [c37] [c35] [c32]
[j92] [j91] [j85] [c245] [c243] [c242] [c240] [c234] [i163] [j81] [j79] [j77] [j75] [c217] [c216] [c214] [c213] [c207] [c194] [i126] [i109] [j70] [j69] [c193] [c180] [c174] [c171] [c168] [c167] [c166] [i99] [i95] [i86] [i82] [i79] [i76] [i75] [i74] [c159] [c155] [c154] [c152] [c151] [c150] [c148] [c144] [c143] [c133] [c131] [c130] [i71] [i70] [i69] [i64] [i58] [i56] [j55] [j51] [c127] [c125] [c122] [c121] [c120] [c117] [c116] [c113] [c108] [c98] [c97] [c95] [i52] [i50] [i42] [i41] [i40] [i39] [i38] [i36] [j45] [c92] [c90] [c87] [c83] [c79] [i33] [i32] [i27] [i26] [i25] [i23] [i22] [j33] [j31] [c60] [c48] [c39] [j23] [j22] [c36] [c30] [c23] [c22] [c21] [j19] [c18] [c17] [c16] [c13] [c12] [i8] [j17] [c11] [c10] [c9] [c8] [i4] [j15] [c7] [c6] [c5] [i3] [j12] [j5]
[j92] [j91] [j88] [j85] [c250] [c240] [i154] [j77] [j75] [c217] [c214] [c213] [c210] [c209] [c195] [i126] [i116] [i112] [i110] [i106] [i102] [j72] [j70] [j69] [c193] [c175] [c174] [c167] [i99] [i86] [i85] [i82] [i79] [i76] [i75] [i74] [c154] [c151] [c148] [c145] [i72] [i71] [i69] [i56] [j54] [c124] [c113] [c107] [c104] [i52] [i50] [i48] [i42] [i40] [i38] [i36] [j47] [i33] [i32] [i30] [i27] [i26]
Xin-Ji Liu
aka: Xinji Liu
aka: Xinji Liu
Chaobing Song
aka: Chao-Bing Song
aka: Chao-Bing Song
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