Wang, Weiran

21 publications

AAAI 2025 FactorGCL: A Hypergraph-Based Factor Model with Temporal Residual Contrastive Learning for Stock Returns Prediction Yitong Duan, Weiran Wang, Jian Li

CVPR 2025 RivuletMLP: An MLP-Based Architecture for Efficient Compressed Video Quality Enhancement Gang He, Weiran Wang, Guancheng Quan, Shihao Wang, Dajiang Zhou, Yunsong Li

CVPRW 2022 NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results Yawei Li, Kai Zhang, Radu Timofte, Luc Van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Zheng Hui, Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Shen Cheng, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wu, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Yuanfan Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, Jie Tang, Gangshan Wu, Weiran Wang, Shirui Huang, Honglei Lu, Huan Liu, Keyan Wang, Jun Chen, Shi Chen, Yuchun Miao, Zimo Huang, Lefei Zhang, Mustafa Ayazoglu, Wei Xiong, Chengyi Xiong, Fei Wang, Hao Li, Ruimian Wen, Zhijing Yang, Wenbin Zou, Weixin Zheng, Tian Ye, Yuncheng Zhang, Xiangzhen Kong, Aditya Arora, Syed Waqas Zamir, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Dandan Gao, Dengwen Zhou, Qian Ning, Jingzhu Tang, Han Huang, Yufei Wang, Zhangheng Peng, Haobo Li, Wenxue Guan, Shenghua Gong, Xin Li, Jun Liu, Wanjun Wang, Kun Zeng, Hanjiang Lin, Xinyu Chen, Jinsheng Fang

ICLR 2022 Understanding Latent Correlation-Based Multiview Learning and Self-Supervision: An Identifiability Perspective Qi Lyu, Xiao Fu, Weiran Wang, Songtao Lu

NeurIPS 2021 Contrastively Disentangled Sequential Variational Autoencoder Junwen Bai, Weiran Wang, Carla P. Gomes

ICLR 2021 Representation Learning for Sequence Data with Deep Autoencoding Predictive Components Junwen Bai, Weiran Wang, Yingbo Zhou, Caiming Xiong

JMLR 2019 Stochastic Canonical Correlation Analysis Chao Gao, Dan Garber, Nathan Srebro, Jialei Wang, Weiran Wang

ALT 2019 Stochastic Nonconvex Optimization with Large Minibatches Weiran Wang, Nathan Srebro

ALT 2018 Efficient Coordinate-Wise Leading Eigenvector Computation Jialei Wang, Weiran Wang, Dan Garber, Nathan Srebro

COLT 2017 Memory and Communication Efficient Distributed Stochastic Optimization with Minibatch Prox Jialei Wang, Weiran Wang, Nathan Srebro

ICLR 2017 Multi-View Recurrent Neural Acoustic Word Embeddings Wanjia He, Weiran Wang, Karen Livescu

NeurIPS 2016 Efficient Globally Convergent Stochastic Optimization for Canonical Correlation Analysis Weiran Wang, Jialei Wang, Dan Garber, Dan Garber, Nati Srebro

ICLR 2016 Large-Scale Approximate Kernel Canonical Correlation Analysis Weiran Wang, Karen Livescu

ICML 2016 Nonparametric Canonical Correlation Analysis Tomer Michaeli, Weiran Wang, Karen Livescu

ICML 2015 On Deep Multi-View Representation Learning Weiran Wang, Raman Arora, Karen Livescu, Jeff Bilmes

AISTATS 2014 Distributed Optimization of Deeply Nested Systems Miguel Á. Carreira-Perpiñán, Weiran Wang

AAAI 2014 LASS: A Simple Assignment Model with Laplacian Smoothing Miguel Á. Carreira-Perpiñán, Weiran Wang

AAAI 2014 The Role of Dimensionality Reduction in Classification Weiran Wang, Miguel Á. Carreira-Perpiñán

AISTATS 2012 Nonlinear Low-Dimensional Regression Using Auxiliary Coordinates Weiran Wang, Miguel Carreira-Perpinan

NeurIPS 2011 A Denoising View of Matrix Completion Weiran Wang, Miguel Á. Carreira-Perpiñán, Zhengdong Lu

CVPR 2010 Manifold Blurring Mean Shift Algorithms for Manifold Denoising Weiran Wang, Miguel Á. Carreira-Perpiñán