Tests on Symmetry and Continuity between BSIM4 and BSIM5. - Xudong Niu; Yan Song; Bo Li; Wei Bian; Yadong Tao; Feng Liu; Jinhua Hu; Yu Chen; Frank He (ISQED, 2007)

A project neural network for solving degenerate convex quadratic program. - Xiaoping Xue 001; Wei Bian (Neurocomputing, 2007)

Harmonic mean for subspace selection. - Wei Bian; Dacheng Tao (ICPR, 2008)

Generic Carrier-Based Core Model for Four-Terminal Double-Gate MOSFET Valid for Symmetric, Asymmetric, SOI, and Independent Gate Operation Modes. - Feng Liu; Jin He 003; Yue Fu; Jinhua Hu; Wei Bian; Yan Song; Xing Zhang 002; Mansun Chan (ISQED, 2008)

Subgradient-Based Neural Networks for Nonsmooth Convex Optimization Problems. - Xiaoping Xue 001; Wei Bian (IEEE Trans. Circuits Syst. I Regul. Pap., 2008)

Dirichlet Mixture Allocation for Multiclass Document Collections Modeling. - Wei Bian; Dacheng Tao (ICDM, 2009)

Biased isomap projections for interactive reranking. - Wei Bian; Jun Cheng 002; Dacheng Tao (ICME, 2009)

Manifold Regularization for SIR with Rate Root-n Convergence. - Wei Bian; Dacheng Tao (NIPS, 2009)

A project neural network for solving degenerate quadratic minimax problem with linear constraints. - Xiaoping Xue 001; Wei Bian (Neurocomputing, 2009)

Sub-threshold behavior of long channel undoped cylindrical surrounding-gate MOSFETs. - Wei Bian; Jin He 003; Lining Zhang; Jian Zhang; Mansun Chan (Microelectron. Reliab., 2009)

Subgradient-Based Neural Networks for Nonsmooth Nonconvex Optimization Problems. - Wei Bian; Xiaoping Xue 001 (IEEE Trans. Neural Networks, 2009)

Feature Extraction for fMRI-Based Human Brain Activity Recognition. - Wei Bian; Jun Li 010; Dacheng Tao (MLMI, 2010)

Biased Discriminant Euclidean Embedding for Content-Based Image Retrieval. - Wei Bian; Dacheng Tao (IEEE Trans. Image Process., 2010)

Face Subspace Learning. - Wei Bian; Dacheng Tao (Handbook of Face Recognition, 2011)

Integrating Local Features into Discriminative Graphlets for Scene Classification. - Luming Zhang; Wei Bian; Mingli Song; Dacheng Tao; Xiao Liu 012 (ICONIP (3), 2011)

Feature Relationships Hypergraph for Multimodal Recognition. - Luming Zhang; Mingli Song; Wei Bian; Dacheng Tao; Xiao Liu 012; Jiajun Bu; Chun Chen 001 (ICONIP (1), 2011)

Learning a Distance Metric by Empirical Loss Minimization. - Wei Bian; Dacheng Tao (IJCAI, 2011)

Music Tagging with Regularized Logistic Regression. - Bo Xie 002; Wei Bian; Dacheng Tao; Parag Chordia (ISMIR, 2011)

Max-Min Distance Analysis by Using Sequential SDP Relaxation for Dimension Reduction. - Wei Bian; Dacheng Tao (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

3D human posture segmentation by spectral clustering with surface normal constraint. - Jun Cheng 002; Maoying Qiao; Wei Bian; Dacheng Tao (Signal Process., 2011)

Segment-Based Features for Time Series Classification. - Zhang Zhang 001; Jun Cheng 002; Jun Li 010; Wei Bian; Dacheng Tao (Comput. J., 2012)

Query difficulty estimation for image retrieval. - Yangxi Li; Bo Geng; Linjun Yang; Chao Xu 006; Wei Bian (Neurocomputing, 2012)

Graph based transductive learning for cartoon correspondence construction. - Jun Yu 002; Wei Bian; Mingli Song; Jun Cheng 002; Dacheng Tao (Neurocomputing, 2012)

CorrLog: Correlated Logistic Models for Joint Prediction of Multiple Labels. - Wei Bian; Bo Xie 002; Dacheng Tao (AISTATS, 2012)

Feature fusion for 3D hand gesture recognition by learning a shared hidden space. - Jun Cheng 002; Can Xie; Wei Bian; Dacheng Tao (Pattern Recognit. Lett., 2012)

Smoothing Neural Network for Constrained Non-Lipschitz Optimization With Applications. - Wei Bian; Xiaojun Chen 001 (IEEE Trans. Neural Networks Learn. Syst., 2012)

Constrained Empirical Risk Minimization Framework for Distance Metric Learning. - Wei Bian; Dacheng Tao (IEEE Trans. Neural Networks Learn. Syst., 2012)

Discretized-Vapnik-Chervonenkis Dimension for Analyzing Complexity of Real Function Classes. - Chao Zhang 017; Wei Bian; Dacheng Tao; Weisi Lin (IEEE Trans. Neural Networks Learn. Syst., 2012)

Cross-Domain Human Action Recognition. - Wei Bian; Dacheng Tao; Yong Rui (IEEE Trans. Syst. Man Cybern. Part B, 2012)

Supervised linear dimension reduction - Wei Bian (2012)

Divide-and-Conquer Anchoring for Near-Separable Nonnegative Matrix Factorization and Completion in High Dimensions. - Tianyi Zhou 001; Wei Bian; Dacheng Tao (ICDM, 2013)

A new one-layer recurrent neural network for nonsmooth pseudoconvex optimization. - Sitian Qin; Wei Bian; Xiaoping Xue 001 (Neurocomputing, 2013)

Intelligent processing techniques for semantic-based image and video retrieval. - Jinhui Tang 001; Wei Bian; Nenghai Yu; Yu-Jin Zhang (Neurocomputing, 2013)

Locally regularized sliced inverse regression based 3D hand gesture recognition on a dance robot. - Jun Cheng 002; Wei Bian; Dacheng Tao (Inf. Sci., 2013)

Worst-Case Complexity of Smoothing Quadratic Regularization Methods for Non-Lipschitzian Optimization. - Wei Bian; Xiaojun Chen 001 (SIAM J. Optim., 2013)

Learning colours from textures by sparse manifold embedding. - Jun Li 010; Wei Bian; Dacheng Tao; Chengqi Zhang (Signal Process., 2013)

Neural Network for Solving Constrained Convex Optimization Problems With Global Attractivity. - Wei Bian; Xiaoping Xue 001 (IEEE Trans. Circuits Syst. I Regul. Pap., 2013)

Grassmannian Regularized Structured Multi-View Embedding for Image Classification. - Xinchao Wang; Wei Bian; Dacheng Tao (IEEE Trans. Image Process., 2013)

Asymptotic Generalization Bound of Fisher's Linear Discriminant Analysis. - Wei Bian; Dacheng Tao (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Neural Network for Nonsmooth, Nonconvex Constrained Minimization Via Smooth Approximation. - Wei Bian; Xiaojun Chen 001 (IEEE Trans. Neural Networks Learn. Syst., 2014)

Minimizing Nearest Neighbor Classification Error for Nonparametric Dimension Reduction. - Wei Bian; Tianyi Zhou 001; Aleix M. Martínez; George Baciu; Dacheng Tao (IEEE Trans. Neural Networks Learn. Syst., 2014)

R2FP: Rich and Robust Feature Pooling for Mining Visual Data. - Wei Xiong 008; Bo Du 001; Lefei Zhang; Ruimin Hu; Wei Bian; Jialie Shen 001; Dacheng Tao (ICDM, 2015)

MMFE: Multitask Multiview Feature Embedding. - Qian Zhang 009; Lefei Zhang; Bo Du 001; Wei Zheng; Wei Bian; Dacheng Tao (ICDM, 2015)

Complexity analysis of interior point algorithms for non-Lipschitz and nonconvex minimization. - Wei Bian; Xiaojun Chen 001; Yinyu Ye 001 (Math. Program., 2015)

Linearly Constrained Non-Lipschitz Optimization for Image Restoration. - Wei Bian; Xiaojun Chen 001 (SIAM J. Imaging Sci., 2015)

Dictionary Pair Learning on Grassmann Manifolds for Image Denoising. - Xianhua Zeng; Wei Bian; Wei Liu 005; Jialie Shen 001; Dacheng Tao (IEEE Trans. Image Process., 2015)

Diversified Hidden Markov Models for Sequential Labeling. - Maoying Qiao; Wei Bian; Richard Yi Da Xu; Dacheng Tao (IEEE Trans. Knowl. Data Eng., 2015)

Random Mixed Field Model for Mixed-Attribute Data Restoration. - Qiang Li 024; Wei Bian; Richard Yi Da Xu; Jane You; Dacheng Tao (AAAI, 2016)

Scalable Completion of Nonnegative Matrix with Separable Structure. - Xiyu Yu; Wei Bian; Dacheng Tao (AAAI, 2016)

Conditional Graphical Lasso for Multi-label Image Classification. - Qiang Li 024; Maoying Qiao; Wei Bian; Dacheng Tao (CVPR, 2016)

Correlated Logistic Model With Elastic Net Regularization for Multilabel Image Classification. - Qiang Li 024; Bo Xie 002; Jane You; Wei Bian; Dacheng Tao (IEEE Trans. Image Process., 2016)

Fast Sampling for Time-Varying Determinantal Point Processes. - Maoying Qiao; Richard Yi Da Xu; Wei Bian; Dacheng Tao (ACM Trans. Knowl. Discov. Data, 2016)

Improving Stochastic Block Models by Incorporating Power-Law Degree Characteristic. - Maoying Qiao; Jun Yu 002; Wei Bian; Qiang Li 024; Dacheng Tao (IJCAI, 2017)

Optimality and Complexity for Constrained Optimization Problems with Nonconvex Regularization. - Wei Bian; Xiaojun Chen 001 (Math. Oper. Res., 2017)

Large-Scale Order Dispatch in On-Demand Ride-Hailing Platforms: A Learning and Planning Approach. - Zhe Xu; Zhixin Li 006; Qingwen Guan; Dingshui Zhang; Qiang Li 024; Junxiao Nan; Chunyang Liu; Wei Bian; Jieping Ye (KDD, 2018)

Multilevel Residual Learning for Single Image Super Resolution. - Xiaole Zhao; Hangfei Liu; Tao Zhang 080; Wei Bian; Xueming Zou (PRCV (1), 2018)

Construction of Multimedia Teaching Resource Management Evaluation Model in the Big Data Environment. - Wei Bian (Int. J. Emerg. Technol. Learn., 2018)

Neural network for nonsmooth pseudoconvex optimization with general convex constraints. - Wei Bian; Litao Ma; Sitian Qin; Xiaoping Xue 001 (Neural Networks, 2018)

Adapting Stochastic Block Models to Power-Law Degree Distributions. - Maoying Qiao; Jun Yu 002; Wei Bian; Qiang Li 024; Dacheng Tao (IEEE Trans. Cybern., 2019)

Progressive Learning for Person Re-Identification With One Example. - Yu Wu 011; Yutian Lin; Xuanyi Dong; Yan Yan 006; Wei Bian; Yi Yang 001 (IEEE Trans. Image Process., 2019)

3_multi-media-of-figure5. - Wei Bian (IEEE DataPort, 2019)

3_multi-media-of-figure5. - Wei Bian (IEEE DataPort, 2019)

A System to Find the Change of One's Vision Implicitly. - Xiaolin Fang 001; Weiwei Wu 001; Ran Bi 001; Wei Bian; Zenghui Zhang (GPC, 2020)

Collaborative Learning of Depth Estimation, Visual Odometry and Camera Relocalization from Monocular Videos. - Haimei Zhao; Wei Bian; Bo Yuan 003; Dacheng Tao (IJCAI, 2020)

A Neural Network for Distributed Optimization over Multiagent Networks. - Jiazhen Wei; Sitian Qin; Wei Bian (ISNN, 2020)

Projected Neural Network for a Class of Sparse Regression with Cardinality Penalty. - Wenjing Li; Wei Bian (CoRR, 2020)

Detecting Communities in Heterogeneous Multi-Relational Networks: A Message Passing based Approach. - Maoying Qiao; Jun Yu 002; Wei Bian; Dacheng Tao (CoRR, 2020)

Repulsive Mixture Models of Exponential Family PCA for Clustering. - Maoying Qiao; Tongliang Liu; Jun Yu 002; Wei Bian; Dacheng Tao (CoRR, 2020)

Accelerated iterative hard thresholding algorithm for l0 regularized regression problem. - Fan Wu; Wei Bian (J. Glob. Optim., 2020)

Gibbs-ringing artifact suppression with knowledge transfer from natural images to MR images. - Xiaole Zhao; Huali Zhang; Yuliang Zhou; Wei Bian; Tao Zhang 080; Xueming Zou (Multim. Tools Appl., 2020)

Longitudinal alteration of cortical thickness and volume in high-impact sports. - 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; et al. (NeuroImage, 2020)

Sign consistency for the linear programming discriminant rule. - Zhen Zhang 018; Shengzheng Wang; Wei Bian (Pattern Recognit., 2020)

A Smoothing Proximal Gradient Algorithm for Nonsmooth Convex Regression with Cardinality Penalty. - Wei Bian; Xiaojun Chen 001 (SIAM J. Numer. Anal., 2020)

Projected Neural Network for a Class of Non-Lipschitz Optimization Problems With Linear Constraints. - Wenjing Li; Wei Bian; Xiaoping Xue 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

The Differences Between Jiùshì and Jiùsuàn as Conjunctions and Their Formation Mechanisms. - Wei Bian (CLSW (1), 2021)

A Quantitative Approach to the Stylistic Assessment of the Middle Chinese Texts. - Bing Qiu 001; Wei Bian (CLSW (2), 2021)

A system to monitor one's nearsightedness implicitly. - Xiaolin Fang 001; Weiwei Wu 001; Ran Bi 001; Wei Bian; Zenghui Zhang (CCF Trans. Pervasive Comput. Interact., 2021)

Projection neural network for a class of sparse regression problems with cardinality penalty. - Wenjing Li; Wei Bian (Neurocomputing, 2021)

Smoothing neural network for L0 regularized optimization problem with general convex constraints. - Wenjing Li; Wei Bian (Neural Networks, 2021)

Anderson Acceleration for a Class of Nonsmooth Fixed-Point Problems. - Wei Bian; Xiaojun Chen 001; C. T. Kelley (SIAM J. Sci. Comput., 2021)

A Novel Multiagent Neurodynamic Approach to Constrained Distributed Convex Optimization. - Litao Ma; Wei Bian (IEEE Trans. Cybern., 2021)

A Simple Neural Network for Sparse Optimization With $l_1$ Regularization. - Litao Ma; Wei Bian (IEEE Trans. Netw. Sci. Eng., 2021)

The Relationship Between the Emphatic Meaning and the Adversative Meaning from the Perspective of Linguistic Typology: The Cases of Chinese Kě and Jiùshì. - Wei Bian (CLSW (1), 2022)

Unsupervised Domain Adaptation with Implicit Pseudo Supervision for Semantic Segmentation. - Wanyu Xu; Zengmao Wang; Wei Bian (IJCNN, 2022)

Fast inertial dynamic algorithm with smoothing method for nonsmooth convex optimization. - Xin Qu; Wei Bian (Comput. Optim. Appl., 2022)

Neural network for a class of sparse optimization with L0-regularization. - Zhe Wei; Qingfa Li; Jiazhen Wei; Wei Bian (Neural Networks, 2022)

Difference-of-Convex Algorithms for a Class of Sparse Group $ ell_0$ Regularized Optimization Problems. - Wenjing Li; Wei Bian; Kim-Chuan Toh (SIAM J. Optim., 2022)

Anderson Acceleration for Nonsmooth Fixed Point Problems. - Wei Bian; Xiaojun Chen (SIAM J. Numer. Anal., 2022)

DPOSE: Online Keypoint-CAM Guided Inference for Driver Pose Estimation with GMM-based Balanced Sampling. - Yuyu Guo 003; Yancheng Bai; Daiqi Shi; Yan Cai 001; Wei Bian (CVPR Workshops, 2023)

Smoothing Accelerated Proximal Gradient Method with Fast Convergence Rate for Nonsmooth Convex Optimization Beyond Differentiability. - Fan Wu; Wei Bian (J. Optim. Theory Appl., 2023)

A subgradient-based neural network to constrained distributed convex optimization. - Zhe Wei; Wenwen Jia; Wei Bian; Sitian Qin (Neural Comput. Appl., 2023)

Iterative convolutional enhancing self-attention Hawkes process with time relative position encoding. - Wei Bian; Chenlong Li; Hongwei Hou; Xiufang Liu (Int. J. Mach. Learn. Cybern., 2023)

Accelerated Smoothing Hard Thresholding Algorithms for ℓ 0 Regularized Nonsmooth Convex Regression Problem. - Wei Bian; Fan Wu (J. Sci. Comput., 2023)

A Study on the Adverse Impact of Synthetic Speech on Speech Recognition. - Jian Huang; Yancheng Bai; Yang Cai; Wei Bian (ICASSP, 2024)

Point Clouds Matching Based on Discrete Optimal Transport. - Litao Ma; Wei Bian; Xiaoping Xue 001 (IEEE Trans. Image Process., 2024)

Normal Transformer: Extracting Surface Geometry From LiDAR Points Enhanced by Visual Semantics. - Ancheng Lin; Jun Li 010; Yusheng Xiang; Wei Bian; Mukesh Prasad (IEEE Trans. Intell. Veh., 2024)

Global-Guided Focal Neural Radiance Field for Large-Scale Scene Rendering. - Mingqi Shao; Feng Xiong; Hang Zhang; Shuang Yang; Mu Xu; Wei Bian; Xueqian Wang (WACV, 2025)

Smoothing Iterative Consensus-based Optimization Algorithm for Nonsmooth Nonconvex Optimization Problems with Global Optimality. - Jiazhen Wei; Wei Bian (J. Sci. Comput., 2025)

On solving a rank regularized minimization problem via equivalent factorized column-sparse regularized models. - Wenjing Li; Wei Bian; Kim-Chuan Toh (Math. Program., 2025)