Wei Bian

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 51

Top Topics

Convex Optimization

Sparse Regression

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Neural Networks

IEEE Trans. Image Process.

Publications

Jian Huang, Yancheng Bai, Yang Cai, Wei Bian
A Study on the Adverse Impact of Synthetic Speech on Speech Recognition. ICASSP (2024)
Mingqi Shao, Feng Xiong, Hang Zhang, Shuang Yang, Mu Xu, Wei Bian, Xueqian Wang
Global-guided Focal Neural Radiance Field for Large-scale Scene Rendering. CoRR (2024)
Wei Bian, Chenlong Li, Hongwei Hou, Xiufang Liu
Iterative convolutional enhancing self-attention Hawkes process with time relative position encoding. Int. J. Mach. Learn. Cybern. 14 (7) (2023)
Fan Wu, Wei Bian
Smoothing Accelerated Proximal Gradient Method with Fast Convergence Rate for Nonsmooth Convex Optimization Beyond Differentiability. J. Optim. Theory Appl. 197 (2) (2023)
Yuyu Guo, Yancheng Bai, Daiqi Shi, Yan Cai, Wei Bian
DPOSE: Online Keypoint-CAM Guided Inference for Driver Pose Estimation with GMM-based Balanced Sampling. CVPR Workshops (2023)
Zhe Wei, Wenwen Jia, Wei Bian, Sitian Qin
A subgradient-based neural network to constrained distributed convex optimization. Neural Comput. Appl. 35 (14) (2023)
Wei Bian, Fan Wu
Regularized Nonsmooth Convex Regression Problem. J. Sci. Comput. 96 (2) (2023)
Wei Bian, Xiaojun Chen
Anderson Acceleration for Nonsmooth Fixed Point Problems. SIAM J. Numer. Anal. 60 (5) (2022)
Wei Bian
The Relationship Between the Emphatic Meaning and the Adversative Meaning from the Perspective of Linguistic Typology: The Cases of Chinese Kě and Jiùshì. CLSW (1) (2022)
Wenjing Li, Wei Bian, Kim-Chuan Toh
Difference-of-Convex Algorithms for a Class of Sparse Group $\ell_0$ Regularized Optimization Problems. SIAM J. Optim. 32 (3) (2022)
Xin Qu, Wei Bian
Fast inertial dynamic algorithm with smoothing method for nonsmooth convex optimization. Comput. Optim. Appl. 83 (1) (2022)
Zhe Wei, Qingfa Li, Jiazhen Wei, Wei Bian
Neural network for a class of sparse optimization with L0-regularization. Neural Networks 151 (2022)
Wanyu Xu, Zengmao Wang, Wei Bian
Unsupervised Domain Adaptation with Implicit Pseudo Supervision for Semantic Segmentation. IJCNN (2022)
Wanyu Xu, Zengmao Wang, Wei Bian
Unsupervised Domain Adaptation with Implicit Pseudo Supervision for Semantic Segmentation. CoRR (2022)
Wenjing Li, Wei Bian
Smoothing neural network for L0 regularized optimization problem with general convex constraints. Neural Networks 143 (2021)
Litao Ma, Wei Bian
A Simple Neural Network for Sparse Optimization With $l_1$ Regularization. IEEE Trans. Netw. Sci. Eng. 8 (4) (2021)
Wei Bian
The Differences Between Jiùshì and Jiùsuàn as Conjunctions and Their Formation Mechanisms. CLSW (1) (2021)
Litao Ma, Wei Bian
A Novel Multiagent Neurodynamic Approach to Constrained Distributed Convex Optimization. IEEE Trans. Cybern. 51 (3) (2021)
Bing Qiu, Wei Bian
A Quantitative Approach to the Stylistic Assessment of the Middle Chinese Texts. CLSW (2) (2021)
Wenjing Li, Wei Bian
Projection neural network for a class of sparse regression problems with cardinality penalty. Neurocomputing 431 (2021)
Wei Bian, Xiaojun Chen, C. T. Kelley
Anderson Acceleration for a Class of Nonsmooth Fixed-Point Problems. SIAM J. Sci. Comput. 43 (5) (2021)
Xiaolin Fang, Weiwei Wu, Ran Bi, Wei Bian, Zenghui Zhang
A system to monitor one's nearsightedness implicitly. CCF Trans. Pervasive Comput. Interact. 3 (3) (2021)
Maoying Qiao, Jun Yu, Wei Bian, Dacheng Tao
Detecting Communities in Heterogeneous Multi-Relational Networks: A Message Passing based Approach. CoRR (2020)
Wenjing Li, Wei Bian
Projected Neural Network for a Class of Sparse Regression with Cardinality Penalty. CoRR (2020)
Wei Bian, Xiaojun Chen
A Smoothing Proximal Gradient Algorithm for Nonsmooth Convex Regression with Cardinality Penalty. SIAM J. Numer. Anal. 58 (1) (2020)
Brian D. Mills, Maged Goubran, Sherveen N. Parivash, Emily L. Dennis, Paymon Rezaii, Carolyn Akers, Wei Bian, Lex A. Mitchell, Brian Boldt, David Douglas, Sohrab Sami, Nicole Mouchawar, Eugene W. Wilson, Phil DiGiacomo, Mansi B. Parekh, Huy Do, Jaime Lopez, Jarrett Rosenberg, Michael Zeineh
Longitudinal alteration of cortical thickness and volume in high-impact sports. NeuroImage 217 (2020)
Jiazhen Wei, Sitian Qin, Wei Bian
A Neural Network for Distributed Optimization over Multiagent Networks. ISNN (2020)
Haimei Zhao, Wei Bian, Bo Yuan, Dacheng Tao
Collaborative Learning of Depth Estimation, Visual Odometry and Camera Relocalization from Monocular Videos. IJCAI (2020)
Xiaolin Fang, Weiwei Wu, Ran Bi, Wei Bian, Zenghui Zhang
A System to Find the Change of One's Vision Implicitly. GPC (2020)
Wenjing Li, Wei Bian, Xiaoping Xue
Projected Neural Network for a Class of Non-Lipschitz Optimization Problems With Linear Constraints. IEEE Trans. Neural Networks Learn. Syst. 31 (9) (2020)
Fan Wu, Wei Bian
regularized regression problem. J. Glob. Optim. 76 (4) (2020)
Xiaole Zhao, Huali Zhang, Yuliang Zhou, Wei Bian, Tao Zhang, Xueming Zou
Gibbs-ringing artifact suppression with knowledge transfer from natural images to MR images. Multim. Tools Appl. 79 (45-46) (2020)
Maoying Qiao, Tongliang Liu, Jun Yu, Wei Bian, Dacheng Tao
Repulsive Mixture Models of Exponential Family PCA for Clustering. CoRR (2020)
Zhen Zhang, Shengzheng Wang, Wei Bian
Sign consistency for the linear programming discriminant rule. Pattern Recognit. 100 (2020)
Yu Wu, Yutian Lin, Xuanyi Dong, Yan Yan, Wei Bian, Yi Yang
Progressive Learning for Person Re-Identification With One Example. IEEE Trans. Image Process. 28 (6) (2019)
Maoying Qiao, Jun Yu, Wei Bian, Qiang Li, Dacheng Tao
Adapting Stochastic Block Models to Power-Law Degree Distributions. CoRR (2019)
Maoying Qiao, Jun Yu, Wei Bian, Qiang Li, Dacheng Tao
Adapting Stochastic Block Models to Power-Law Degree Distributions. IEEE Trans. Cybern. 49 (2) (2019)
Qiang Li, Bo Xie, Jane You, Wei Bian, Dacheng Tao
Correlated Logistic Model With Elastic Net Regularization for Multilabel Image Classification. CoRR (2019)
Maoying Qiao, Wei Bian, Richard Yida Xu, Dacheng Tao
Diversified Hidden Markov Models for Sequential Labeling. CoRR (2019)
Xiaole Zhao, Hangfei Liu, Tao Zhang, Wei Bian, Xueming Zou
Multilevel Residual Learning for Single Image Super Resolution. PRCV (1) (2018)
Zhe Xu, Zhixin Li, Qingwen Guan, Dingshui Zhang, Qiang Li, Junxiao Nan, Chunyang Liu, Wei Bian, Jieping Ye
Large-Scale Order Dispatch in On-Demand Ride-Hailing Platforms: A Learning and Planning Approach. KDD (2018)
Wei Bian
Construction of Multimedia Teaching Resource Management Evaluation Model in the Big Data Environment. iJET 13 (3) (2018)
Wei Bian, Litao Ma, Sitian Qin, Xiaoping Xue
Neural network for nonsmooth pseudoconvex optimization with general convex constraints. Neural Networks 101 (2018)
Wei Bian, Xiaojun Chen
Optimality and Complexity for Constrained Optimization Problems with Nonconvex Regularization. Math. Oper. Res. 42 (4) (2017)
Maoying Qiao, Jun Yu, Wei Bian, Qiang Li, Dacheng Tao
Improving Stochastic Block Models by Incorporating Power-Law Degree Characteristic. IJCAI (2017)
Xiyu Yu, Wei Bian, Dacheng Tao
Scalable Completion of Nonnegative Matrix with Separable Structure. AAAI (2016)
Qiang Li, Maoying Qiao, Wei Bian, Dacheng Tao
Conditional Graphical Lasso for Multi-label Image Classification. CVPR (2016)
Maoying Qiao, Richard Yi Da Xu, Wei Bian, Dacheng Tao
Fast Sampling for Time-Varying Determinantal Point Processes. ACM Trans. Knowl. Discov. Data 11 (1) (2016)
Qiang Li, Wei Bian, Richard Yi Da Xu, Jane You, Dacheng Tao
Random Mixed Field Model for Mixed-Attribute Data Restoration. AAAI (2016)
Maoying Qiao, Wei Bian, Richard Yi Da Xu, Dacheng Tao
Diversified hidden Markov models for sequential labeling. ICDE (2016)
Qiang Li, Bo Xie, Jane You, Wei Bian, Dacheng Tao
Correlated Logistic Model With Elastic Net Regularization for Multilabel Image Classification. IEEE Trans. Image Process. 25 (8) (2016)
Maoying Qiao, Wei Bian, Richard Yi Da Xu, Dacheng Tao
Diversified Hidden Markov Models for Sequential Labeling. IEEE Trans. Knowl. Data Eng. 27 (11) (2015)
Wei Bian, Xiaojun Chen
Linearly Constrained Non-Lipschitz Optimization for Image Restoration. SIAM J. Imaging Sci. 8 (4) (2015)
Wei Bian, Xiaojun Chen, Yinyu Ye
Complexity analysis of interior point algorithms for non-Lipschitz and nonconvex minimization. Math. Program. 149 (1-2) (2015)
Xianhua Zeng, Wei Bian, Wei Liu, Jialie Shen, Dacheng Tao
Dictionary Pair Learning on Grassmann Manifolds for Image Denoising. IEEE Trans. Image Process. 24 (11) (2015)
Wei Xiong, Bo Du, Lefei Zhang, Ruimin Hu, Wei Bian, Jialie Shen, Dacheng Tao
R2FP: Rich and Robust Feature Pooling for Mining Visual Data. ICDM (2015)
Qian Zhang, Lefei Zhang, Bo Du, Wei Zheng, Wei Bian, Dacheng Tao
MMFE: Multitask Multiview Feature Embedding. ICDM (2015)
Wei Bian, Xiaojun Chen
Neural Network for Nonsmooth, Nonconvex Constrained Minimization Via Smooth Approximation. IEEE Trans. Neural Networks Learn. Syst. 25 (3) (2014)
Wei Bian, Tianyi Zhou, Aleix M. Martínez, George Baciu, Dacheng Tao
Minimizing Nearest Neighbor Classification Error for Nonparametric Dimension Reduction. IEEE Trans. Neural Networks Learn. Syst. 25 (8) (2014)
Wei Bian, Dacheng Tao
Asymptotic Generalization Bound of Fisher's Linear Discriminant Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 36 (12) (2014)
Xinchao Wang, Wei Bian, Dacheng Tao
Grassmannian Regularized Structured Multi-View Embedding for Image Classification. IEEE Trans. Image Process. 22 (7) (2013)
Wei Bian, Xiaojun Chen
Worst-Case Complexity of Smoothing Quadratic Regularization Methods for Non-Lipschitzian Optimization. SIAM J. Optim. 23 (3) (2013)
Sitian Qin, Wei Bian, Xiaoping Xue
A new one-layer recurrent neural network for nonsmooth pseudoconvex optimization. Neurocomputing 120 (2013)
Jinhui Tang, Wei Bian, Nenghai Yu, Yu-Jin Zhang
Intelligent processing techniques for semantic-based image and video retrieval. Neurocomputing 119 (2013)
Jun Cheng, Wei Bian, Dacheng Tao
Locally regularized sliced inverse regression based 3D hand gesture recognition on a dance robot. Inf. Sci. 221 (2013)
Tianyi Zhou, Wei Bian, Dacheng Tao
Divide-and-Conquer Anchoring for Near-Separable Nonnegative Matrix Factorization and Completion in High Dimensions. ICDM (2013)
Wei Bian, Xiaoping Xue
Neural Network for Solving Constrained Convex Optimization Problems With Global Attractivity. IEEE Trans. Circuits Syst. I Regul. Pap. (3) (2013)
Jun Li, Wei Bian, Dacheng Tao, Chengqi Zhang
Learning colours from textures by sparse manifold embedding. Signal Process. 93 (6) (2013)
Wei Bian, Xiaojun Chen
Smoothing Neural Network for Constrained Non-Lipschitz Optimization With Applications. IEEE Trans. Neural Networks Learn. Syst. 23 (3) (2012)
Wei Bian, Dacheng Tao
Asymptotic Generalization Bound of Fisher's Linear Discriminant Analysis CoRR (2012)
Zhang Zhang, Jun Cheng, Jun Li, Wei Bian, Dacheng Tao
Segment-Based Features for Time Series Classification. Comput. J. 55 (9) (2012)
Wei Bian, Dacheng Tao
Constrained Empirical Risk Minimization Framework for Distance Metric Learning. IEEE Trans. Neural Networks Learn. Syst. 23 (8) (2012)
Chao Zhang, Wei Bian, Dacheng Tao, Weisi Lin
Discretized-Vapnik-Chervonenkis Dimension for Analyzing Complexity of Real Function Classes. IEEE Trans. Neural Networks Learn. Syst. 23 (9) (2012)
Jun Yu, Wei Bian, Mingli Song, Jun Cheng, Dacheng Tao
Graph based transductive learning for cartoon correspondence construction. Neurocomputing 79 (2012)
Jun Cheng, Can Xie, Wei Bian, Dacheng Tao
Feature fusion for 3D hand gesture recognition by learning a shared hidden space. Pattern Recognit. Lett. 33 (4) (2012)
Yangxi Li, Bo Geng, Linjun Yang, Chao Xu, Wei Bian
Query difficulty estimation for image retrieval. Neurocomputing 95 (2012)
Wei Bian, Bo Xie, Dacheng Tao
CorrLog: Correlated Logistic Models for Joint Prediction of Multiple Labels. AISTATS (2012)
Wei Bian, Dacheng Tao, Yong Rui
Cross-Domain Human Action Recognition. IEEE Trans. Syst. Man Cybern. Part B 42 (2) (2012)
Bo Xie, Wei Bian, Dacheng Tao, Parag Chordia
Music Tagging with Regularized Logistic Regression. ISMIR (2011)
Jun Cheng, Maoying Qiao, Wei Bian, Dacheng Tao
3D human posture segmentation by spectral clustering with surface normal constraint. Signal Process. 91 (9) (2011)
Luming Zhang, Wei Bian, Mingli Song, Dacheng Tao, Xiao Liu
Integrating Local Features into Discriminative Graphlets for Scene Classification. ICONIP (3) (2011)
Wei Bian, Dacheng Tao
Learning a Distance Metric by Empirical Loss Minimization. IJCAI (2011)
Jun Li, Wei Bian, Dacheng Tao, Chengqi Zhang
Learning Colours from Textures by Sparse Manifold Embedding. Australasian Conference on Artificial Intelligence (2011)
Luming Zhang, Mingli Song, Wei Bian, Dacheng Tao, Xiao Liu, Jiajun Bu, Chun Chen
Feature Relationships Hypergraph for Multimodal Recognition. ICONIP (1) (2011)
Wei Bian, Dacheng Tao
Max-Min Distance Analysis by Using Sequential SDP Relaxation for Dimension Reduction. IEEE Trans. Pattern Anal. Mach. Intell. 33 (5) (2011)
Wei Bian, Dacheng Tao
Biased Discriminant Euclidean Embedding for Content-Based Image Retrieval. IEEE Trans. Image Process. 19 (2) (2010)
Wei Bian, Jun Li, Dacheng Tao
Feature Extraction for fMRI-Based Human Brain Activity Recognition. MLMI (2010)
Wei Bian, Xiaoping Xue
Subgradient-Based Neural Networks for Nonsmooth Nonconvex Optimization Problems. IEEE Trans. Neural Networks 20 (6) (2009)
Wei Bian, Jun Cheng, Dacheng Tao
Biased isomap projections for interactive reranking. ICME (2009)
Wei Bian, Dacheng Tao
Manifold Regularization for SIR with Rate Root-n Convergence. NIPS (2009)
Wei Bian, Jin He, Lining Zhang, Jian Zhang, Mansun Chan
Sub-threshold behavior of long channel undoped cylindrical surrounding-gate MOSFETs. Microelectron. Reliab. 49 (8) (2009)
Wei Bian, Dacheng Tao
Dirichlet Mixture Allocation for Multiclass Document Collections Modeling. ICDM (2009)
Xiaoping Xue, Wei Bian
A project neural network for solving degenerate quadratic minimax problem with linear constraints. Neurocomputing 72 (7-9) (2009)
Xiaoping Xue, Wei Bian
Subgradient-Based Neural Networks for Nonsmooth Convex Optimization Problems. IEEE Trans. Circuits Syst. I Regul. Pap. (8) (2008)
Wei Bian, Dacheng Tao
Harmonic mean for subspace selection. ICPR (2008)
Feng Liu, Jin He, Yue Fu, Jinhua Hu, Wei Bian, Yan Song, Xing Zhang, Mansun Chan
Generic Carrier-Based Core Model for Four-Terminal Double-Gate MOSFET Valid for Symmetric, Asymmetric, SOI, and Independent Gate Operation Modes. ISQED (2008)
Xudong Niu, Yan Song, Bo Li, Wei Bian, Yadong Tao, Feng Liu, Jinhua Hu, Yu Chen, Frank He
Tests on Symmetry and Continuity between BSIM4 and BSIM5. ISQED (2007)
Xiaoping Xue, Wei Bian
A project neural network for solving degenerate convex quadratic program. Neurocomputing 70 (13-15) (2007)