Tao Dai

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 120

Top Venues

Publications

Yifan Hu, Peiyuan Liu, Peng Zhu, Dawei Cheng, Tao Dai
Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting. CoRR (2024)
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 (2024)
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 (2024)
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 (2024)
Mifang Cong, Tao Dai, Jianwei Ren, Fazhan Zhao
Research and realization of 150W ultra-wideband reconfigurable RF power amplifier. IEICE Electron. Express 21 (4) (2024)
Zhengdan Yin, Sanping Zhou, Le Wang, Tao Dai, Gang Hua, Nanning Zheng
Residual feature learning with hierarchical calibration for gaze estimation. Mach. Vis. Appl. 35 (4) (2024)
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 (2024)
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)
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 (2023)
Linjun Shi, Tao Dai, Wenjie Lao, Feng Wu, Keman Lin, Kwang Y. Lee
Operation State Recognition of Renewable Energy Unit Based on SSAE and Improved KNN Algorithm. IEEE Access 11 (2023)
Jintao Xu, Maolei Gui, Rui Ding, Tao Dai, Mengyan Zheng, Xinhong Men, Fanpeng Meng, Tao Yu, Yang Sui
A new approach for dynamic reliability analysis of reactor protection system for HPR1000. Reliab. Eng. Syst. Saf. 234 (2023)
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)
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 (2023)
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)
Hang Guo, Tao Dai, Guanghao Meng, Shu-Tao Xia
Towards Robust Scene Text Image Super-resolution via Explicit Location Enhancement. CoRR (2023)
Hongfei Zhang, Li Zhu, Tao Dai, Liwen Zhang, Xi Feng, Li Zhang, Kaiqi Zhang
Smart object recommendation based on topic learning and joint features in the social internet of things. Digit. Commun. Networks 9 (1) (2023)
Deming Lei, Tao Dai
A Shuffled Frog-Leaping Algorithm with Cooperations for Distributed Assembly Hybrid-Flow Shop Scheduling with Factory Eligibility. Symmetry 15 (4) (2023)
Xinyi Zhang, Tao Dai, Bin Chen, Shu-Tao Xia
DDA: A Dynamic Difficulty-aware Data Augmenter for Image Super-resolution. IJCNN (2023)
Hang Guo, Tao Dai, Guanghao Meng, Shu-Tao Xia
Towards Robust Scene Text Image Super-resolution via Explicit Location Enhancement. IJCAI (2023)
Tao Dai, Jie Zhao, Dehong Li, Shun Tian, Xiangmo Zhao, Shirui Pan
Heterogeneous deep graph convolutional network with citation relational BERT for COVID-19 inline citation recommendation. Expert Syst. Appl. 213 (Part) (2023)
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) (2023)
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 (2023)
Jinpeng Wang, Ziyun Zeng, Bin Chen, Tao Dai, Shu-Tao Xia
Contrastive Quantization with Code Memory for Unsupervised Image Retrieval. AAAI (2022)
Sunan He, Taian Guo, Tao Dai, Ruizhi Qiao, Bo Ren, Shu-Tao Xia
Open-Vocabulary Multi-Label Classification via Multi-modal Knowledge Transfer. CoRR (2022)
Qiang Li, Tao Dai, Shu-Tao Xia
A Comparative Study of Feature Expansion Unit for 3D Point Cloud Upsampling. CoRR (2022)
Mengxi Ya, Tao Dai, Ling Liu, Jieyin Lv, Shu-Tao Xia
Context Feature Guided Network for Image Super-resolution. ICDIS (2022)
Hongfei Zhang, Li Zhu, Liwen Zhang, Tao Dai, Xi Feng, Li Zhang, Kaiqi Zhang, Yutian Yan
Smart objects recommendation based on pre-training with attention and the thing-thing relationship in social Internet of things. Future Gener. Comput. Syst. 129 (2022)
Sunan He, Taian Guo, Tao Dai, Ruizhi Qiao, Chen Wu, Xiujun Shu, Bo Ren
VLMAE: Vision-Language Masked Autoencoder. CoRR (2022)
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 (2022)
Yong Wu, Mengyao Xu, Dong Cheng, Tao Dai
Information Security Strategies for Information-Sharing Firms Considering a Strategic Hacker. Decis. Anal. 19 (2) (2022)
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)
Yuyuan Zeng, Bowen Zhao, Shanzhao Qiu, Tao Dai, Shu-Tao Xia
Towards Effective Image Manipulation Detection with Proposal Contrastive Learning. CoRR (2022)
Yong Wu, Haocheng Xiao, Tao Dai, Dong Cheng
A game-theoretical model of firm security reactions responding to a strategic hacker in a competitive industry. J. Oper. Res. Soc. 73 (4) (2022)
Jintao Xu, Rui Ding, Muye Li, Tao Dai, Mengyan Zheng, Tao Yu, Yang Sui
A new Bayesian network model for risk assessment based on cloud model, interval type-2 fuzzy sets and improved D-S evidence theory. Inf. Sci. 618 (2022)
Tao Dai, Yan Feng, Bin Chen, Jian Lu, Shu-Tao Xia
Deep image prior based defense against adversarial examples. Pattern Recognit. 122 (2022)
Xinyi Liu, Tao Dai, Shu-Tao Xia, Yong Jiang
Self-Ensemble Variance Regularization for Domain Adaptation. ICASSP (2022)
Hongwei Li, Tao Dai, Yiming Li, Xueyi Zou, Shu-Tao Xia
Adaptive Local Implicit Image Function for Arbitrary-scale Super-resolution. CoRR (2022)
Hongwei Li, Tao Dai, Yiming Li, Xueyi Zou, Shu-Tao Xia
Adaptive Local Implicit Image Function for Arbitrary-Scale Super-Resolution. ICIP (2022)
Xin Yan, Yanjie Li, Tao Dai, Yang Bai, Shu-Tao Xia
D2Defend: Dual-Domain based Defense against Adversarial Examples. IJCNN (2021)
Tao Dai, Wenjun Yan, Kaiqi Zhang, Chen Qiu, Xiangmo Zhao, Shirui Pan
Gated relational stacked denoising autoencoder with localized author embedding for global citation recommendation. Expert Syst. Appl. 184 (2021)
Yong Wu, Linping Wang, Dong Cheng, Tao Dai
Information security decisions of firms considering security risk interdependency. Expert Syst. Appl. 178 (2021)
Jie Wang, Li Zhu, Tao Dai, Qiannan Xu, Tianyu Gao
Low-rank and sparse matrix factorization with prior relations for recommender systems. Appl. Intell. 51 (6) (2021)
Jinpeng Wang, Ziyun Zeng, Bin Chen, Tao Dai, Shu-Tao Xia
Contrastive Quantization with Code Memory for Unsupervised Image Retrieval. CoRR (2021)
Yunxiao Wang, Tao Dai, Bin Chen, Shutao Xia
Attribute Structured Knowledge Distillation. IJCNN (2021)
Taian Guo, Tao Dai, Ling Liu, Zexuan Zhu, Shu-Tao Xia
S2A: Scale-Attention-Aware Networks for Video Super-Resolution. Entropy 23 (11) (2021)
Yuyuan Zeng, Tao Dai, Bin Chen, Shu-Tao Xia, Jian Lu
Correlation-based structural dropout for convolutional neural networks. Pattern Recognit. 120 (2021)
Qianggang Ding, Sifan Wu, Tao Dai, Hao Sun, Jiadong Guo, Zhang-Hua Fu, Shutao Xia
Knowledge Refinery: Learning from Decoupled Label. AAAI (2021)
Mingyan Zhu, Tao Dai, Shu-Tao Xia, Maowei Hu
EDKE: Encoder-Decoder based Kernel Estimation for Blind Image Super-resolution. IJCNN (2021)
Bin Cheng, Tao Dai, Bin Chen, Shutao Xia, Xiu Li
Efficient Face Manipulation Via Deep Feature Disentanglement And Reintegration Net. ICASSP (2021)
Bo Li, Bin Chen, Yunxiao Wang, Tao Dai, Maowei Hu, Yong Jiang, Shutao Xia
Knowledge Distillation via Channel Correlation Structure. KSEM (2021)
Tao Dai, Yalei Lv, Bin Chen, Zhi Wang, Zexuan Zhu, Shu-Tao Xia
Mix-order Attention Networks for Image Restoration. ACM Multimedia (2021)
Zhikang Xia, Bin Chen, Tao Dai, Shu-Tao Xia
Class Aware Robust Training. ICASSP (2021)
Yifan Wang, Hisao Ishibuchi, Jihua Zhu, Yaxiong Wang, Tao Dai
Unsupervised Fuzzy Neural Network for Image Clustering. FUZZ-IEEE (2021)
Ziyun Zeng, Jinpeng Wang, Bin Chen, Tao Dai, Shu-Tao Xia
Pyramid Hybrid Pooling Quantization for Efficient Fine-Grained Image Retrieval. CoRR (2021)
Jinpeng Wang, Bin Chen, Tao Dai, Shu-Tao Xia
Webly Supervised Deep Attentive Quantization. ICASSP (2021)
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)
Xue Zhou, Tao Dai, Yong Jiang, Shu-Tao Xia
Bishift-Net for Image Inpainting. ICASSP (2021)
Yuyuan Zeng, Tao Dai, Shu-Tao Xia
Corrdrop: Correlation Based Dropout for Convolutional Neural Networks. ICASSP (2020)
Yinghua Gao, Naiqi Li, Ning Ding, Yiming Li, Tao Dai, Shu-Tao Xia
Generalized Local Aggregation for Large Scale Gaussian Process Regression. IJCNN (2020)
Zibin He, Tao Dai, Jian Lu, Yong Jiang, Shu-Tao Xia
Fakd: Feature-Affinity Based Knowledge Distillation for Efficient Image Super-Resolution. ICIP (2020)
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)
Tao Dai, Li Zhu, Yaxiong Wang, Kathleen M. Carley
Attentive Stacked Denoising Autoencoder With Bi-LSTM for Personalized Context-Aware Citation Recommendation. IEEE ACM Trans. Audio Speech Lang. Process. 28 (2020)
Yuzhao Chen, Xi Xiao, Tao Dai, Shu-Tao Xia
Hrnet: Hamiltonian Rescaling Network for Image Downscaling. ICIP (2020)
Shaoyu Tao, Chaoyuan Shen, Li Zhu, Tao Dai
SVD-CNN: A Convolutional Neural Network Model with Orthogonal Constraints Based on SVD for Context-Aware Citation Recommendation. Comput. Intell. Neurosci. 2020 (2020)
Yong Wu, Junlin Duan, Tao Dai, Dong Cheng
Managing Security Outsourcing in the Presence of Strategic Hackers. Decis. Anal. 17 (3) (2020)
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)
Shudeng Wu, Tao Dai, Shu-Tao Xia
DPAttack: Diffused Patch Attacks against Universal Object Detection. CoRR (2020)
Yan Feng, Bin Chen, Tao Dai, Shu-Tao Xia
Adversarial Attack on Deep Product Quantization Network for Image Retrieval. AAAI (2020)
Qiang Li, Tao Dai, Shu-Tao Xia
Progressive Splitting and Upscaling Structure for Super-Resolution. ICPR (2020)
Yan Feng, Bin Chen, Tao Dai, Shutao Xia
Adversarial Attack on Deep Product Quantization Network for Image Retrieval. CoRR (2020)
Yuzhao Chen, Tao Dai, Xi Xiao, Jian Lu, Shu-Tao Xia
Enhanced Image Restoration Via Supervised Target Feature Transfer. ICIP (2020)
Xingchun Xiang, Qingtao Tang, Huaixuan Zhang, Tao Dai, Jiawei Li, Shu-Tao Xia
JSRT: James-Stein Regression Tree. CoRR (2020)
Shudeng Wu, Tao Dai, Guanghao Meng, Bin Chen, Jian Lu, Shu-Tao Xia
Transferable Adversarial Attacks for Deep Scene Text Detection. ICPR (2020)
Tao Dai, Qingkun Chen, Liqin Xie, Hongpu Hu
An Innovative Application of Big Data in Healthcare: Driving Factors, Operation Mechanism and Development Model. MMBD (2020)
Jie Wang, Li Zhu, Tao Dai, Yabin Wang
Deep memory network with Bi-LSTM for personalized context-aware citation recommendation. Neurocomputing 410 (2020)
Qiannan Xu, Li Zhu, Tao Dai, Lei Guo, Sisi Cao
Non-negative matrix factorization for implicit aspect identification. J. Ambient Intell. Humaniz. Comput. 11 (7) (2020)
Qiannan Xu, Li Zhu, Tao Dai, Chengbing Yan
Aspect-based sentiment classification with multi-attention network. Neurocomputing 388 (2020)
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)
Xiaoyan Cai, Yu Zheng, Libin Yang, Tao Dai, Lantian Guo
Bibliographic Network Representation Based Personalized Citation Recommendation. IEEE Access 7 (2019)
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)
Zhihao Ouyang, Yan Feng, Zihao He, Tianbo Hao, Tao Dai, Shu-Tao Xia
Attentiondrop for Convolutional Neural Networks. ICME (2019)
Tao Dai, Jianrui Cai, Yongbing Zhang, Shu-Tao Xia, Lei Zhang
Second-Order Attention Network for Single Image Super-Resolution. CVPR (2019)
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)
Tao Dai, Liqin Xie, Yan Wang, Yanli Wan, Hongpu Hu
Demand Analysis and Function Design of Health Decision Support System in China. MedInfo (2019)
Tao Dai, Hua Zha, Yong Jiang, Shu-Tao Xia
Image Super-Resolution via Residual Block Attention Networks. ICCV Workshops (2019)
Juli Zhang, Junyi Zhang, Tao Dai, Zhanzhuang He
Exploring Weighted Dual Graph Regularized Non-Negative Matrix Tri-Factorization Based Collaborative Filtering Framework for Multi-Label Annotation of Remote Sensing Images. Remote. Sens. 11 (8) (2019)
Xiyu Yan, Yeli Xing, Zihao He, Tao Dai, Yong Jiang, Shu-Tao Xia
Neural Style Transfer with Content Discrimination. ICME Workshops (2019)
Juli Zhang, Zhanzhuang He, Junyi Zhang, Tao Dai
Cograph Regularized Collective Nonnegative Matrix Factorization for Multilabel Image Annotation. IEEE Access 7 (2019)
Libin Yang, Zeqing Zhang, Xiaoyan Cai, Tao Dai
Attention-Based Personalized Encoder-Decoder Model for Local Citation Recommendation. Comput. Intell. Neurosci. 2019 (2019)
Jiawei Li, Xingchun Xiang, Tao Dai, Shu-Tao Xia
Making Large Ensemble of Convolutional Neural Networks via Bootstrap Re-sampling. VCIP (2019)
Tao Dai, Li Zhu, Yifan Wang, Hongfei Zhang, Xiaoyan Cai, Yu Zheng
Joint Model Feature Regression and Topic Learning for Global Citation Recommendation. IEEE Access 7 (2019)
Hongpu Hu, Liqin Xie, Qingkun Chen, Xing Gao, Yuqi Pi, Tao Dai
Analysis and Measurement of China's Population Health Informatization Development Strategy. MedInfo (2019)
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)
Yang Bai, Yan Feng, Yisen Wang, Tao Dai, Shutao Xia, Yong Jiang
Hilbert-Based Generative Defense for Adversarial Examples. ICCV (2019)
Taian Guo, Tao Dai, Jiawei Li, Shu-Tao Xia
Self-attentive Pyramid Network for Single Image De-raining. ICONIP (1) (2019)
Yeli Xing, Jiawei Li, Tao Dai, Qingtao Tang, Li Niu, Shu-Tao Xia
Portrait-Aware Artistic Style Transfer. ICIP (2018)
Libin Yang, Yu Zheng, Xiaoyan Cai, Hang Dai, Dejun Mu, Lantian Guo, Tao Dai
A LSTM Based Model for Personalized Context-Aware Citation Recommendation. IEEE Access 6 (2018)
Weizhi Lu, Tao Dai, Shu-Tao Xia
Binary Matrices for Compressed Sensing. IEEE Trans. Signal Process. 66 (1) (2018)
Bohan Zhang, Dana Van Aken, Justin Wang, Tao Dai, Shuli Jiang, Jacky Lao, Siyuan Sheng, Andrew Pavlo, Geoffrey J. Gordon
A Demonstration of the OtterTune Automatic Database Management System Tuning Service. Proc. VLDB Endow. 11 (12) (2018)
Tao Dai, Tianyu Gao, Li Zhu, Xiaoyan Cai, Shirui Pan
Low-Rank and Sparse Matrix Factorization for Scientific Paper Recommendation in Heterogeneous Network. IEEE Access 6 (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Tao Dai