Wang, Jialei

28 publications

ICML 2025 OmniAudio: Generating Spatial Audio from 360-Degree Video Huadai Liu, Tianyi Luo, Kaicheng Luo, Qikai Jiang, Peiwen Sun, Jialei Wang, Rongjie Huang, Qian Chen, Wen Wang, Xiangtai Li, Shiliang Zhang, Zhijie Yan, Zhou Zhao, Wei Xue

NeurIPS 2025 Orient Anything V2: Unifying Orientation and Rotation Understanding Zehan Wang, Ziang Zhang, Jiayang Xu, Jialei Wang, Tianyu Pang, Chao Du, Hengshuang Zhao, Zhou Zhao

NeurIPS 2025 ThinkSound: Chain-of-Thought Reasoning in Multimodal LLMs for Audio Generation and Editing Huadai Liu, Kaicheng Luo, Jialei Wang, Wen Wang, Qian Chen, Zhou Zhao, Wei Xue

NeurIPS 2024 GTSinger: A Global Multi-Technique Singing Corpus with Realistic Music Scores for All Singing Tasks Yu Zhang, Changhao Pan, Wenxiang Guo, Ruiqi Li, Zhiyuan Zhu, Jialei Wang, Wenhao Xu, Jingyu Lu, Zhiqing Hong, Chuxin Wang, LiChao Zhang, Jinzheng He, Ziyue Jiang, Yuxin Chen, Chen Yang, Jiecheng Zhou, Xinyu Cheng, Zhou Zhao

AAAI 2024 HACDR-Net: Heterogeneous-Aware Convolutional Network for Diabetic Retinopathy Multi-Lesion Segmentation Qihao Xu, Xiaoling Luo, Chao Huang, Chengliang Liu, Jie Wen, Jialei Wang, Yong Xu

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

JMLR 2019 Utilizing Second Order Information in Minibatch Stochastic Variance Reduced Proximal Iterations Jialei Wang, Tong Zhang

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

NeurIPS 2018 Gradient Sparsification for Communication-Efficient Distributed Optimization Jianqiao Wangni, Jialei Wang, Ji Liu, Tong Zhang

NeurIPS 2018 Graph Oracle Models, Lower Bounds, and Gaps for Parallel Stochastic Optimization Blake E Woodworth, Jialei Wang, Adam Smith, Brendan McMahan, Nati Srebro

JMLR 2017 A General Distributed Dual Coordinate Optimization Framework for Regularized Loss Minimization Shun Zheng, Jialei Wang, Fen Xia, Wei Xu, Tong Zhang

ICML 2017 Efficient Distributed Learning with Sparsity Jialei Wang, Mladen Kolar, Nathan Srebro, Tong Zhang

ICML 2017 Exploiting Strong Convexity from Data with Primal-Dual First-Order Algorithms Jialei Wang, Lin Xiao

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

NeurIPS 2017 Multi-Information Source Optimization Matthias Poloczek, Jialei Wang, Peter Frazier

AISTATS 2017 Sketching Meets Random Projection in the Dual: A Provable Recovery Algorithm for Big and High-Dimensional Data Jialei Wang, Jason D. Lee, Mehrdad Mahdavi, Mladen Kolar, Nati Srebro

AISTATS 2016 Distributed Multi-Task Learning Jialei Wang, Mladen Kolar, Nathan Srebro

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

AISTATS 2016 Inference for High-Dimensional Exponential Family Graphical Models Jialei Wang, Mladen Kolar

JMLR 2016 Large Scale Online Kernel Learning Jing Lu, Steven C.H. Hoi, Jialei Wang, Peilin Zhao, Zhi-Yong Liu

CVPR 2016 Removing Clouds and Recovering Ground Observations in Satellite Image Sequences via Temporally Contiguous Robust Matrix Completion Jialei Wang, Peder A. Olsen, Andrew R. Conn, Aurelie C. Lozano

UAI 2014 A Consistent Estimator of the Expected Gradient Outerproduct Shubhendu Trivedi, Jialei Wang, Samory Kpotufe, Gregory Shakhnarovich

MLOSS 2014 LIBOL: A Library for Online Learning Algorithms Steven C.H. Hoi, Jialei Wang, Peilin Zhao

IJCAI 2013 Large Scale Online Kernel Classification Steven C. H. Hoi, Jialei Wang, Peilin Zhao, Jinfeng Zhuang, Zhiyong Liu

ACML 2013 Second Order Online Collaborative Filtering Jing Lu, Steven Hoi, Jialei Wang

ICML 2012 Exact Soft Confidence-Weighted Learning Steven C. H. Hoi, Jialei Wang, Peilin Zhao

ICML 2012 Fast Bounded Online Gradient Descent Algorithms for Scalable Kernel-Based Online Learning Steven C. H. Hoi, Jialei Wang, Peilin Zhao, Rong Jin, Pengcheng Wu

ACML 2011 Unsupervised Multiple Kernel Learning Jinfeng Zhuang, Jialei Wang, Steven C. H. Hoi, Xiangyang Lan