Yangyang Xu

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 121

Top Venues

CoRR

SIAM J. Optim.

IEEE Trans. Circuits Syst. Video Technol.

AAAI

Publications

Xuan Zhang, Gabriel Mancino-Ball, Necdet Serhat Aybat, Yangyang Xu
Jointly Improving the Sample and Communication Complexities in Decentralized Stochastic Minimax Optimization. AAAI (2024)
Yi Xia, Hua Sun, Baifu Zhang, Yangyang Xu, Qiang Ye
Prediction of freezing of gait based on self-supervised pretraining via contrastive learning. Biomed. Signal Process. Control. 89 (2024)
Yangyang Xu, Zengmao Wang, Xiaoping Zhang
Leveraging spatial residual attention and temporal Markov networks for video action understanding. Neural Networks 169 (2024)
Yangyang Xu, Xiangtai Li, Haobo Yuan, Yibo Yang, Lefei Zhang
Multi-Task Learning With Multi-Query Transformer for Dense Prediction. IEEE Trans. Circuits Syst. Video Technol. 34 (2) (2024)
Yan Hu, Jia Tang, Yangyang Xu, Runying Xu, Baoshan Huang
EL-DenseNet: a novel method for identifying the flame state of converter steelmaking based on dense convolutional neural networks. Signal Image Video Process. 18 (4) (2024)
Yangyang Xu
Decentralized Gradient Descent Maximization Method for Composite Nonconvex Strongly-Concave Minimax Problems. SIAM J. Optim. 34 (1) (2024)
Yangyang Xu, Zhuoer Zhao, Xiao Sun
SCBG: Semantic-Constrained Bidirectional Generation for Emotional Support Conversation. ACM Trans. Asian Low Resour. Lang. Inf. Process. 23 (7) (2024)
Zichong Li, Pin-Yu Chen, Sijia Liu, Songtao Lu, Yangyang Xu
Stochastic inexact augmented Lagrangian method for nonconvex expectation constrained optimization. Comput. Optim. Appl. 87 (1) (2024)
Yangyang Xu, Xian Zhang, Xiao-Song Zhu, Yiwei Shi
Surface-Enhanced Raman Scattering in Silver-Coated Suspended-Core Fiber. Sensors 24 (1) (2024)
Yangyang Xu, Licai Shao, Guinan He
New S-type localization sets for C-eigenvalues of a piezoelectric-type tensor. Appl. Math. Lett. 150 (2024)
Yangyang Xu, Yibo Yang, Bernard Ghanem, Lefei Zhang, Du Bo, Dacheng Tao
Deformable Mixer Transformer with Gating for Multi-Task Learning of Dense Prediction. CoRR (2023)
Yangyang Xu, Shengfeng He, Kwan-Yee K. Wong, Ping Luo
RIGID: Recurrent GAN Inversion and Editing of Real Face Videos. CoRR (2023)
Jiajin Zhang, Hanqing Chao, Amit Dhurandhar, Pin-Yu Chen, Ali Tajer, Yangyang Xu, Pingkun Yan
Spectral Adversarial MixUp for Few-Shot Unsupervised Domain Adaptation. CoRR (2023)
Gabriel Mancino-Ball, Yangyang Xu
Variance-reduced accelerated methods for decentralized stochastic double-regularized nonconvex strongly-concave minimax problems. CoRR (2023)
Wei Liu, Qihang Lin, Yangyang Xu
First-order Methods for Affinely Constrained Composite Non-convex Non-smooth Problems: Lower Complexity Bound and Near-optimal Methods. CoRR (2023)
Yi Xia, Yangyang Xu, Peng Chen, Jun Zhang, Yongliang Zhang
Generative adversarial network with transformer generator for boosting ECG classification. Biomed. Signal Process. Control. 80 (Part) (2023)
Gabriel Mancino-Ball, Yangyang Xu, Jie Chen
A Decentralized Primal-Dual Framework for Non-Convex Smooth Consensus Optimization. IEEE Trans. Signal Process. 71 (2023)
Qi Li, Yangyang Xu, Zhuoer Zhao, Shulei Tang, Feixiang Zhang, Ruotong Wang, Xiao Sun, Meng Wang
JTMA: Joint Multimodal Feature Fusion and Temporal Multi-head Attention for Humor Detection. MuSe@ACM Multimedia (2023)
Gabriel Mancino-Ball, Shengnan Miao, Yangyang Xu, Jie Chen
Proximal Stochastic Recursive Momentum Methods for Nonconvex Composite Decentralized Optimization. AAAI (2023)
Jiajin Zhang, Hanqing Chao, Amit Dhurandhar, Pin-Yu Chen, Ali Tajer, Yangyang Xu, Pingkun Yan
Spectral Adversarial MixUp for Few-Shot Unsupervised Domain Adaptation. MICCAI (1) (2023)
Nan Zhou, Hao Qin, Kup-Sze Choi, Yuanhua Du, Jun Liu, Ping Li, Xiaoyan Huang, Kaibo Shi, Yangyang Xu
Correntropy based model predictive controller with multi-constraints for robust path trajectory tracking of self-driving vehicle. J. Frankl. Inst. 360 (10) (2023)
Yangyang Xu, Yibo Yang, Lefei Zhang
DeMT: Deformable Mixer Transformer for Multi-Task Learning of Dense Prediction. CoRR (2023)
Yangyang Xu, Yibo Yang, Lefei Zhang
DeMT: Deformable Mixer Transformer for Multi-Task Learning of Dense Prediction. AAAI (2023)
Shan Xu, Huaidong Zhang, Xuemiao Xu, Xiaowei Hu, Yangyang Xu, Liangui Dai, Kup-Sze Choi, Pheng-Ann Heng
Representative Feature Alignment for Adaptive Object Detection. IEEE Trans. Circuits Syst. Video Technol. 33 (2) (2023)
Zongcai Cai, Zhen Zhang, Fei Zhao, Xiaohui Guo, Jinbiao Zhao, Yangyang Xu, Xiaopeng Liu
Assessment of eco-environmental quality changes and spatial heterogeneity in the Yellow River Delta based on the remote sensing ecological index and geo-detector model. Ecol. Informatics 77 (2023)
Yangyang Xu, Shengfeng He, Wenqi Shao, Kwan-Yee K. Wong, Yu Qiao, Ping Luo
DiffusionMat: Alpha Matting as Sequential Refinement Learning. CoRR (2023)
Qihang Lin, Yangyang Xu
Reducing the Complexity of Two Classes of Optimization Problems by Inexact Accelerated Proximal Gradient Method. SIAM J. Optim. 33 (1) (2023)
Yangyang Xu, Yibo Yang, Lefei Zhang
Multi-Task Learning with Knowledge Distillation for Dense Prediction. ICCV (2023)
Yangyang Xu, Yibo Xu
Momentum-Based Variance-Reduced Proximal Stochastic Gradient Method for Composite Nonconvex Stochastic Optimization. J. Optim. Theory Appl. 196 (1) (2023)
Zhansheng Li, Yangyang Xu, Nanxuan Zhao, Yang Zhou, Yongtuo Liu, Dahua Lin, Shengfeng He
Parsing-Conditioned Anime Translation: A New Dataset and Method. ACM Trans. Graph. 42 (3) (2023)
Jingjing Ren, Xiaowei Hu, Lei Zhu, Xuemiao Xu, Yangyang Xu, Weiming Wang, Zijun Deng, Pheng-Ann Heng
Deep Texture-Aware Features for Camouflaged Object Detection. IEEE Trans. Circuits Syst. Video Technol. 33 (3) (2023)
Yangyang Xu, Shengfeng He, Kwan-Yee K. Wong, Ping Luo
RIGID: Recurrent GAN Inversion and Editing of Real Face Videos. ICCV (2023)
Yangyang Xu, Yibo Xu, Yonggui Yan, Colin Sutcher-Shepard, Leopold Grinberg, Jie Chen
Parallel and distributed asynchronous adaptive stochastic gradient methods. Math. Program. Comput. 15 (3) (2023)
Hari Dahal, Wei Liu, Yangyang Xu
Damped Proximal Augmented Lagrangian Method for weakly-Convex Problems with Convex Constraints. CoRR (2023)
Yangyang Xu
Decentralized gradient descent maximization method for composite nonconvex strongly-concave minimax problems. CoRR (2023)
Yangyang Xu, Zengmao Wang, Jedi S. Shang
PAENL: personalized attraction enhanced network learning for recommendation. Neural Comput. Appl. 35 (5) (2023)
Qi Li, Shulei Tang, Feixiang Zhang, Ruotong Wang, Yangyang Xu, Zhuoer Zhao, Xiao Sun, Meng Wang
Temporal-aware Multimodal Feature Fusion for Sentiment Analysis. MuSe@ACM Multimedia (2023)
Nan Zhou, Kup-Sze Choi, Badong Chen, Yuanhua Du, Jun Liu, Yangyang Xu
Correntropy-Based Low-Rank Matrix Factorization With Constraint Graph Learning for Image Clustering. IEEE Trans. Neural Networks Learn. Syst. 34 (12) (2023)
Yonggui Yan, Jie Chen, Pin-Yu Chen, Xiaodong Cui, Songtao Lu, Yangyang Xu
Compressed Decentralized Proximal Stochastic Gradient Method for Nonconvex Composite Problems with Heterogeneous Data. ICML (2023)
Zhen Zhang, Jinbiao Zhao, Shiyin Liu, Qibing Zhang, Zongli Jiang, Yangyang Xu, Haoran Su
Characterization of Three Surges of the Kyagar Glacier, Karakoram. Remote. Sens. 15 (8) (2023)
Jiajin Zhang, Hanqing Chao, Amit Dhurandhar, Pin-Yu Chen, Ali Tajer, Yangyang Xu, Pingkun Yan
When Neural Networks Fail to Generalize? A Model Sensitivity Perspective. AAAI (2023)
Jiajin Zhang, Hanqing Chao, Amit Dhurandhar, Pin-Yu Chen, Ali Tajer, Yangyang Xu, Pingkun Yan
When Neural Networks Fail to Generalize? A Model Sensitivity Perspective. CoRR (2022)
Yangyang Xu, Zeyang Zhou, Shengfeng He
Self-supervised Matting-specific Portrait Enhancement and Generation. CoRR (2022)
Yangyang Xu, Zeyang Zhou, Shengfeng He
Self-Supervised Matting-Specific Portrait Enhancement and Generation. IEEE Trans. Image Process. 31 (2022)
Jia Li, Ziyang Zhang, Junjie Lang, Yueqi Jiang, Liuwei An, Peng Zou, Yangyang Xu, Sheng Gao, Jie Lin, Chunxiao Fan, Xiao Sun, Meng Wang
Hybrid Multimodal Feature Extraction, Mining and Fusion for Sentiment Analysis. MuSe @ ACM Multimedia (2022)
Shuchao Li, Yangyang Xu, Huihui Zhang
Some further results on the maximal hitting times of trees with some given parameters. Discret. Appl. Math. 313 (2022)
Qihang Lin, Yangyang Xu
Inexact accelerated proximal gradient method with line search and reduced complexity for affine-constrained and bilinear saddle-point structured convex problems. CoRR (2022)
Yang Zhou, Yangyang Xu, Yong Du, Qiang Wen, Shengfeng He
Pro-PULSE: Learning Progressive Encoders of Latent Semantics in GANs for Photo Upsampling. IEEE Trans. Image Process. 31 (2022)
Shangqi Zhang, Lei Wang, Yangyang Xu, Kefu Chen, Fei Wang, Minjun Zhao, Yuebo Dou
3D Body Sensor-Based Martial Arts Demonstration and Teaching System. ICNCC (2022)
Qihang Lin, Runchao Ma, Yangyang Xu
Complexity of an inexact proximal-point penalty method for constrained smooth non-convex optimization. Comput. Optim. Appl. 82 (1) (2022)
Yangyang Xu, Lefei Zhang
DGMLP: Deformable Gating MLP Sharing for Multi-Task Learning. CICAI (1) (2022)
Junjie Deng, Yangyang Xu, Zeyang Zhou, Shengfeng He
Background Matting via Recursive Excitation. ICME (2022)
Jia Li, Ziyang Zhang, Junjie Lang, Yueqi Jiang, Liuwei An, Peng Zou, Yangyang Xu, Sheng Gao, Jie Lin, Chunxiao Fan, Xiao Sun, Meng Wang
Hybrid Multimodal Feature Extraction, Mining and Fusion for Sentiment Analysis. CoRR (2022)
Zichong Li, Pin-Yu Chen, Sijia Liu, Songtao Lu, Yangyang Xu
Zeroth-Order Optimization for Composite Problems with Functional Constraints. AAAI (2022)
Yonggui Yan, Yangyang Xu
Adaptive primal-dual stochastic gradient method for expectation-constrained convex stochastic programs. Math. Program. Comput. 14 (2) (2022)
Yangyang Xu, Xiangtai Li, Haobo Yuan, Yibo Yang, Jing Zhang, Yunhai Tong, Lefei Zhang, Dacheng Tao
Multi-Task Learning with Multi-query Transformer for Dense Prediction. CoRR (2022)
Zichong Li, Pin-Yu Chen, Sijia Liu, Songtao Lu, Yangyang Xu
Stochastic Inexact Augmented Lagrangian Method for Nonconvex Expectation Constrained Optimization. CoRR (2022)
Yangyang Xu, Yibo Xu, Yonggui Yan, Jie Chen
Distributed Stochastic Inertial-Accelerated Methods with Delayed Derivatives for Nonconvex Problems. SIAM J. Imaging Sci. 15 (2) (2022)
Yangyang Xu, Xuemiao Xu, Guoqiang Han, Shengfeng He
Holistically Associated Transductive Zero-Shot Learning. IEEE Trans. Cogn. Dev. Syst. 14 (2) (2022)
Yangyang Xu, Bailin Deng, Junle Wang, Yanqing Jing, Jia Pan, Shengfeng He
High-resolution Face Swapping via Latent Semantics Disentanglement. CVPR (2022)
Yangyang Xu, Bailin Deng, Junle Wang, Yanqing Jing, Jia Pan, Shengfeng He
High-resolution Face Swapping via Latent Semantics Disentanglement. CoRR (2022)
Yangyang Xu, Xuemiao Xu, Jianbo Jiao, Keke Li, Cheng Xu, Shengfeng He
Erratum to "Multi-View Face Synthesis via Progressive Face Flow". IEEE Trans. Image Process. 30 (2021)
Xinsong Zhang, Yangyang Xu, Shengnan Lu, Cheng Lu, Yunxiang Guo
Joint Planning of Distributed PV Stations and EV Charging Stations in the Distribution Systems Based on Chance-Constrained Programming. IEEE Access 9 (2021)
Zichong Li, Yangyang Xu
Augmented Lagrangian-Based First-Order Methods for Convex-Constrained Programs with Weakly Convex Objective. INFORMS J. Optim. 3 (4) (2021)
Yangyang Xu, Yibo Xu, Yonggui Yan, Jie Chen
Distributed stochastic inertial methods with delayed derivatives. CoRR (2021)
Yangyang Xu
First-Order Methods for Constrained Convex Programming Based on Linearized Augmented Lagrangian Function. INFORMS J. Optim. 3 (1) (2021)
Yong Du, Yangyang Xu, Taizhong Ye, Qiang Wen, Chu-Feng Xiao, Junyu Dong, Guoqiang Han, Shengfeng He
Invertible Grayscale with Sparsity Enforcing Priors. ACM Trans. Multim. Comput. Commun. Appl. 17 (3) (2021)
Yangyang Xu, Yong Du, Wenpeng Xiao, Xuemiao Xu, Shengfeng He
From Continuity to Editability: Inverting GANs with Consecutive Images. ICCV (2021)
Yuyuan Ouyang, Yangyang Xu
Lower complexity bounds of first-order methods for convex-concave bilinear saddle-point problems. Math. Program. 185 (1-2) (2021)
Yibo Xu, Yangyang Xu
Katyusha Acceleration for Convex Finite-Sum Compositional Optimization. INFORMS J. Optim. 3 (4) (2021)
Yangyang Xu
Iteration complexity of inexact augmented Lagrangian methods for constrained convex programming. Math. Program. 185 (1-2) (2021)
Yangyang Xu, Yong Du, Wenpeng Xiao, Xuemiao Xu, Shengfeng He
From Continuity to Editability: Inverting GANs with Consecutive Images. CoRR (2021)
Zichong Li, Pin-Yu Chen, Sijia Liu, Songtao Lu, Yangyang Xu
Rate-improved inexact augmented Lagrangian method for constrained nonconvex optimization. AISTATS (2021)
Yangyang Xu, Xuemiao Xu, Jianbo Jiao, Keke Li, Cheng Xu, Shengfeng He
Multi-View Face Synthesis via Progressive Face Flow. IEEE Trans. Image Process. 30 (2021)
Yangyang Xu, Chu Han, Jing Qin, Xuemiao Xu, Guoqiang Han, Shengfeng He
Transductive Zero-Shot Action Recognition via Visually Connected Graph Convolutional Networks. IEEE Trans. Neural Networks Learn. Syst. 32 (8) (2021)
Jingjing Ren, Xiaowei Hu, Lei Zhu, Xuemiao Xu, Yangyang Xu, Weiming Wang, Zijun Deng, Pheng-Ann Heng
Deep Texture-Aware Features for Camouflaged Object Detection. CoRR (2021)
Xuemiao Xu, Hai He, Huaidong Zhang, Yangyang Xu, Shengfeng He
Unsupervised Domain Adaptation via Importance Sampling. IEEE Trans. Circuits Syst. Video Technol. 30 (12) (2020)
Chenyu Wu, Yangyang Xu
Greedy coordinate descent method on non-negative quadratic programming. SAM (2020)
Yangyang Xu, Colin Sutcher-Shepard, Yibo Xu, Jie Chen
Asynchronous parallel adaptive stochastic gradient methods. CoRR (2020)
Tao Sun, Yuejiao Sun, Yangyang Xu, Wotao Yin
Markov chain block coordinate descent. Comput. Optim. Appl. 75 (1) (2020)
Nan Zhou, Badong Chen, Yuanhua Du, Tao Jiang, Jun Liu, Yangyang Xu
Maximum Correntropy Criterion-Based Robust Semisupervised Concept Factorization for Image Representation. IEEE Trans. Neural Networks Learn. Syst. 31 (10) (2020)
Yangyang Xu
First-order methods for problems with O(1) functional constraints can have almost the same convergence rate as for unconstrained problems. CoRR (2020)
Yangyang Xu
Momentum-based variance-reduced proximal stochastic gradient method for composite nonconvex stochastic optimization. CoRR (2020)
Yangyang Xu
Primal-Dual Stochastic Gradient Method for Convex Programs with Many Functional Constraints. SIAM J. Optim. 30 (2) (2020)
Zichong Li, Yangyang Xu
Augmented Lagrangian based first-order methods for convex and nonconvex programs: nonergodic convergence and iteration complexity. CoRR (2020)
Ruijuan Zhao, Bing Zheng, Maolin Liang, Yangyang Xu
A locally and cubically convergent algorithm for computing 𝒵-eigenpairs of symmetric tensors. Numer. Linear Algebra Appl. 27 (3) (2020)
Yangyang Xu, Ruijuan Zhao, Bing Zheng
Two non-parameter iterative algorithms for identifying strong ℋ-tensors. Numer. Algorithms 81 (3) (2019)
Yangyang Xu
Asynchronous parallel primal-dual block coordinate update methods for affinely constrained convex programs. Comput. Optim. Appl. 72 (1) (2019)
Qihang Lin, Runchao Ma, Yangyang Xu
Inexact Proximal-Point Penalty Methods for Non-Convex Optimization with Non-Convex Constraints. CoRR (2019)
Yangyang Xu, Xuefei Li, Jing Li, Chunzhi Wang, Rong Gao, Yonghong Yu
SSSER: Spatiotemporal Sequential and Social Embedding Rank for Successive Point-of-Interest Recommendation. IEEE Access 7 (2019)
Nan Zhou, Yangyang Xu, Hong Cheng, Zejian Yuan, Badong Chen
Maximum Correntropy Criterion-Based Sparse Subspace Learning for Unsupervised Feature Selection. IEEE Trans. Circuits Syst. Video Technol. 29 (2) (2019)
Yangyang Xu, Bing Zheng, Ruijuan Zhao
Some results on Brauer-type and Brualdi-type eigenvalue inclusion sets for tensors. Comput. Appl. Math. 38 (2) (2019)
Yangyang Xu, Ruijuan Zhao, Bing Zheng
Some criteria for identifying strong ℋ-tensors. Numer. Algorithms 80 (4) (2019)
Yibo Xu, Yangyang Xu
Katyusha Acceleration for Convex Finite-Sum Compositional Optimization. CoRR (2019)
Lei Wang, Yangyang Xu, Jun Cheng, Haiying Xia, Jianqin Yin, Jiaji Wu
Human Action Recognition by Learning Spatio-Temporal Features With Deep Neural Networks. IEEE Access 6 (2018)
Yangyang Xu, Jun Cheng, Lei Wang, Haiying Xia, Feng Liu, Dapeng Tao
Ensemble One-Dimensional Convolution Neural Networks for Skeleton-Based Action Recognition. IEEE Signal Process. Lett. 25 (7) (2018)
Xingguo Li, Jineng Ren, Sirisha Rambhatla, Yangyang Xu, Jarvis D. Haupt
Robust PCA via Dictionary Based Outlier Pursuit. ICASSP (2018)
Bo Liu, Tengyang Xie, Yangyang Xu, Mohammad Ghavamzadeh, Yinlam Chow, Daoming Lyu, Daesub Yoon
A Block Coordinate Ascent Algorithm for Mean-Variance Optimization. CoRR (2018)
Tao Sun, Yuejiao Sun, Yangyang Xu, Wotao Yin
Markov Chain Block Coordinate Descent. CoRR (2018)
Yangyang Xu
Hybrid Jacobian and Gauss-Seidel Proximal Block Coordinate Update Methods for Linearly Constrained Convex Programming. SIAM J. Optim. 28 (1) (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yangyang Xu