Zhang, Teng

30 publications

AAAI 2025 Mitigating Pervasive Modality Absence Through Multimodal Generalization and Refinement Wuliang Huang, Yiqiang Chen, Xinlong Jiang, Chenlong Gao, Teng Zhang, Qian Chen, Yifan Wang

ICLR 2025 Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Hengzhuang Li, Teng Zhang

ICCV 2025 World4Drive: End-to-End Autonomous Driving via Intention-Aware Physical Latent World Model Yupeng Zheng, Pengxuan Yang, Zebin Xing, Qichao Zhang, Yuhang Zheng, Yinfeng Gao, Pengfei Li, Teng Zhang, Zhongpu Xia, Peng Jia, XianPeng Lang, Dongbin Zhao

CVPR 2024 A Subspace-Constrained Tyler's Estimator and Its Applications to Structure from Motion Feng Yu, Teng Zhang, Gilad Lerman

IJCAI 2023 Incremental and Decremental Optimal Margin Distribution Learning Li-Jun Chen, Teng Zhang, Xuanhua Shi, Hai Jin

IJCAI 2023 Scalable Optimal Margin Distribution Machine Yilin Wang, Nan Cao, Teng Zhang, Xuanhua Shi, Hai Jin

JMLR 2022 ALMA: Alternating Minimization Algorithm for Clustering Mixture Multilayer Network Xing Fan, Marianna Pensky, Feng Yu, Teng Zhang

ECML-PKDD 2022 Enhance Temporal Knowledge Graph Completion via Time-Aware Attention Graph Convolutional Network HaoHui Wei, Hong Huang, Teng Zhang, Xuanhua Shi, Hai Jin

IJCAI 2022 On the Optimization of Margin Distribution Meng-Zhang Qian, Zheng Ai, Teng Zhang, Wei Gao

IJCAI 2022 Posistive-Unlabeled Learning via Optimal Transport and Margin Distribution Nan Cao, Teng Zhang, Xuanhua Shi, Hai Jin

WACV 2021 Faces a La Carte: Text-to-Face Generation via Attribute Disentanglement Tianren Wang, Teng Zhang, Brian Lovell

IJCAI 2021 Partial Multi-Label Optimal Margin Distribution Machine Nan Cao, Teng Zhang, Hai Jin

AAAI 2020 Optimal Margin Distribution Learning in Dynamic Environments Teng Zhang, Peng Zhao, Hai Jin

IJCAI 2020 Optimal Margin Distribution Machine for Multi-Instance Learning Teng Zhang, Hai Jin

JMLR 2019 A Well-Tempered Landscape for Non-Convex Robust Subspace Recovery Tyler Maunu, Teng Zhang, Gilad Lerman

AAAI 2019 Coreset Stochastic Variance-Reduced Gradient with Application to Optimal Margin Distribution Machine Zhi-Hao Tan, Teng Zhang, Wei Wang

ICML 2018 CoVeR: Learning Covariate-Specific Vector Representations with Tensor Decompositions Kevin Tian, Teng Zhang, James Zou

AAAI 2018 Optimal Margin Distribution Clustering Teng Zhang, Zhi-Hua Zhou

JMLR 2018 Robust PCA by Manifold Optimization Teng Zhang, Yi Yang

IJCAI 2018 Semi-Supervised Optimal Margin Distribution Machines Teng Zhang, Zhi-Hua Zhou

AAAI 2018 Unified Locally Linear Classifiers with Diversity-Promoting Anchor Points Chenghao Liu, Teng Zhang, Peilin Zhao, Jianling Sun, Steven C. H. Hoi

IJCAI 2017 Efficient Label Contamination Attacks Against Black-Box Learning Models Mengchen Zhao, Bo An, Wei Gao, Teng Zhang

IJCAI 2017 Locally Linear Factorization Machines Chenghao Liu, Teng Zhang, Peilin Zhao, Jun Zhou, Jianling Sun

ICML 2017 Multi-Class Optimal Margin Distribution Machine Teng Zhang, Zhi-Hua Zhou

JMLR 2017 Spectral Clustering Based on Local PCA Ery Arias-Castro, Gilad Lerman, Teng Zhang

WACV 2016 Is Alice Chasing or Being Chased?: Determining Subject and Object of Activities in Videos Teng Zhang, Liangchen Liu, Arnold Wiliem, Brian C. Lovell

JMLR 2014 A Novel M-Estimator for Robust PCA Teng Zhang, Gilad Lerman

AISTATS 2014 Robust Stochastic Principal Component Analysis John Goes, Teng Zhang, Raman Arora, Gilad Lerman

CVPR 2010 Randomized Hybrid Linear Modeling by Local Best-Fit Flats Teng Zhang, Arthur Szlam, Yi Wang, Gilad Lerman

ICCVW 2009 Median K-Flats for Hybrid Linear Modeling with Many Outliers Teng Zhang, Arthur Szlam, Gilad Lerman