Jialei Wang

According to our database, Jialei Wang authored at least 68 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Identification of Mild Cognitive Impairment Conversion Using Augmented Resting-State Functional Connectivity Under Multi-Modal Parcellation.

Jinhua Sheng, He Huang, Qiao Zhang, Zhongjin Li, Haodi Zhu, Jialei Wang, Ziyi Ying, Jing Zeng

IEEE Access, 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A Revised Approach to Orthodontic Treatment Monitoring From Oralscan Video.

Yan Tian, Guotang Jian, Jialei Wang, Hong Chen, Lei Pan, Zhaocheng Xu, Jianyuan Li, Ruili Wang

IEEE J. Biomed. Health Informatics, December, 2023

Detect occluded items in X-ray baggage inspection.

Bei Wang, Yan Tian, Jialei Wang, Jiayu Hu, Dongsheng Liu, Zhaocheng Xu

Comput. Graph., October, 2023

LeafSpec-Dicot: An Accurate and Portable Hyperspectral Imaging Device for Dicot Leaves.

Xuan Li, Ziling Chen, Jialei Wang, Jian Jin

Sensors, April, 2023

A Dual-Transformer-Based Three-Level DC-DC Converter With Wide ZVZCS Switching Range.

Guo Xu, Jialei Wang, Guangfu Ning, Wenjing Xiong, Mei Su

IEEE Trans. Circuits Syst. II Express Briefs, February, 2023

Application of Combined Filtering in Thunder Recognition.

Yao Wang, Jing Yang, Qilin Zhang, Jinquan Zeng, Boyi Mu, Junzhi Du, Zhekai Li, Yuhui Shao, Jialei Wang, Zhouxin Li

Remote. Sens., January, 2023

Weakly Supervised Method for Domain Adaptation in Instance Segmentation.

Jie Sun, Yan Tian, Jialei Wang, Zhaocheng Xu, Hao Wang, Zhaoyi Jiang, Xun Wang

Proceedings of the Advances in Computer Graphics, 2023

2022

Location Accuracy Improvement of Long-range Lightning Detection Network In China by Compensating Ground Wave Propagation Delay.

Junchao Zhang, Jiahao Zhou, Jie Li, Jiaying Gu, Qilin Zhang, Bingzhe Dai, Yao Wang, Jialei Wang, Yuqing Zhong, Qingda Li

Remote. Sens., 2022

Effect of Number and Configuration of Participating Stations on Lightning Location outside the Network.

Jiaying Gu, Qilin Zhang, Jie Li, Junchao Zhang, Jiahao Zhou, Bingzhe Dai, Hao Sun, Yao Wang, Jialei Wang, Yuqing Zhong, Qingda Li, Jing Yang

Remote. Sens., 2022

exoRBase 2.0: an atlas of mRNA, lncRNA and circRNA in extracellular vesicles from human biofluids.

Hongyan Lai, Yuchen Li, Hena Zhang, Jia Hu, Jiatao Liao, Ying Su, Qin Li, Bing Chen, Caiping Li, Zhen Wang, Yan Li, Jialei Wang, Zhiqiang Meng, Zhaohui Huang, Shenglin Huang

Nucleic Acids Res., 2022

A tooth surface design method combining semantic guidance, confidence, and structural coherence.

Peng Wang, Yan Tian, Nali Liu, Jialei Wang, Shuangming Chai, Xun Wang, Ruili Wang

IET Comput. Vis., 2022

From Correctable Memory Errors to Uncorrectable Memory Errors: What Error Bits Tell.

Cong Li, Yu Zhang, Jialei Wang, Hang Chen, Xian Liu, Tai Huang, Liang Peng, Shen Zhou, Lixin Wang, Shijian Ge

Proceedings of the SC22: International Conference for High Performance Computing, 2022

2021

Automated in-field leaf-level hyperspectral imaging of corn plants using a Cartesian robotic platform.

Ziling Chen, Jialei Wang, Tao Wang, Zhihang Song, Yikai Li, Yuanmeng Huang, Liangju Wang, Jian Jin

Comput. Electron. Agric., 2021

Application of multidimensional data visualization technology and WebGIS in lightweight visualization system design.

Zijun Liang, BaHeiZhaTi NuErTaYi, Yuanyuan Xu, Fei Zhang, Jingwen Yang, Jialei Wang

Proceedings of the 9th International Conference on Agro-Geoinformatics, 2021

The Application on distributed geospatial data management based on Hadoop and the application in WebGIS.

Jian Huang, Jinling Zhao, Yixiao Guo, Xin Mao, WuRenShaNa, Jialei Wang

Proceedings of the 9th International Conference on Agro-Geoinformatics, 2021

Research on WebGIS Application Based on Edge Computing.

Jian Huang, Zijun Liang, Xuedan Zhao, Jinling Zhao, BaHeiZhaTi NuErTaYi, Jialei Wang

Proceedings of the 9th International Conference on Agro-Geoinformatics, 2021

2020

Improving Multiperson Pose Estimation by Mask-aware Deep Reinforcement Learning.

Xun Wang, Yan Tian, Xuran Zhao, Tao Yang, Judith Gelernter, Jialei Wang, Guohua Cheng, Wei Hu

ACM Trans. Multim. Comput. Commun. Appl., 2020

LeafScope: A Portable High-Resolution Multispectral Imager for In Vivo Imaging Soybean Leaf.

Liangju Wang, Yunhong Duan, Libo Zhang, Jialei Wang, Yikai Li, Jian Jin

Sensors, 2020

Parallel Bayesian Global Optimization of Expensive Functions.

Jialei Wang, Scott C. Clark, Eric Liu, Peter I. Frazier

Oper. Res., 2020

Building an Open Resources Repository for COVID-19 Research.

Tao Hu, Weihe Wendy Guan, Xinyan Zhu, Yuanzheng Shao, Lingbo Liu, Jing Du, Hongqiang Liu, Huan Zhou, Jialei Wang, Bing She, Luyao Zhang, Zhibin Li, Peixiao Wang, Yicheng Tang, Ruizhi Hou, Yun Li, Dexuan Sha, Yifan Yang, Ben Lewis, Devika Kakkar, Shuming Bao

Data Inf. Manag., 2020

LeafSpec: An accurate and portable hyperspectral corn leaf imager.

Liangju Wang, Jian Jin, Zhihang Song, Jialei Wang, Libo Zhang, Tanzeel U. Rehman, Dongdong Ma, Neal R. Carpenter, Mitchell R. Tuinstra

Comput. Electron. Agric., 2020

2019

Rate optimal estimation and confidence intervals for high-dimensional regression with missing covariates.

Yining Wang, Jialei Wang, Sivaraman Balakrishnan, Aarti Singh

J. Multivar. Anal., 2019

Utilizing Second Order Information in Minibatch Stochastic Variance Reduced Proximal Iterations.

Jialei Wang, Tong Zhang

J. Mach. Learn. Res., 2019

Stochastic Canonical Correlation Analysis.

Chao Gao, Dan Garber, Nathan Srebro, Jialei Wang, Weiran Wang

J. Mach. Learn. Res., 2019

Leaf Scanner: A portable and low-cost multispectral corn leaf scanning device for precise phenotyping.

Libo Zhang, Liangju Wang, Jialei Wang, Zhihang Song, Tanzeel U. Rehman, Thirawat Bureetes, Dongdong Ma, Ziling Chen, Samantha Neeno, Jian Jin

Comput. Electron. Agric., 2019

2018

基于信任网络的协同过滤推荐方法 (Trust Network Based Collaborative Filtering Recommendation Algorithm).

Hongbo Zhang, Jialei Wang, Lijuan Zhang, Zhihong Liu

计算机科学, 2018

基于社交网络信任关系的服务推荐方法 (Service Recommendation Method Based on Social Network Trust Relationships).

Jialei Wang, Yao Guo, Zhihong Liu

计算机科学, 2018

Graph Oracle Models, Lower Bounds, and Gaps for Parallel Stochastic Optimization.

Blake E. Woodworth, Jialei Wang, Brendan McMahan, Nathan Srebro

CoRR, 2018

Distributed Stochastic Multi-Task Learning with Graph Regularization.

Weiran Wang, Jialei Wang, Mladen Kolar, Nathan Srebro

CoRR, 2018

Graph Oracle Models, Lower Bounds, and Gaps for Parallel Stochastic Optimization.

Blake E. Woodworth, Jialei Wang, Adam D. Smith, Brendan McMahan, Nati Srebro

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Gradient Sparsification for Communication-Efficient Distributed Optimization.

Jianqiao Wangni, Jialei Wang, Ji Liu, Tong Zhang

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Efficient coordinate-wise leading eigenvector computation.

Jialei Wang, Weiran Wang, Dan Garber, Nathan Srebro

Proceedings of the Algorithmic Learning Theory, 2018

2017

A General Distributed Dual Coordinate Optimization Framework for Regularized Loss Minimization.

Shun Zheng, Jialei Wang, Fen Xia, Wei Xu, Tong Zhang

J. Mach. Learn. Res., 2017

Improved Optimization of Finite Sums with Minibatch Stochastic Variance Reduced Proximal Iterations.

Jialei Wang, Tong Zhang

CoRR, 2017

Multi-Information Source Optimization.

Matthias Poloczek, Jialei Wang, Peter I. Frazier

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Exploiting Strong Convexity from Data with Primal-Dual First-Order Algorithms.

Jialei Wang, Lin Xiao

Proceedings of the 34th International Conference on Machine Learning, 2017

Efficient Distributed Learning with Sparsity.

Jialei Wang, Mladen Kolar, Nathan Srebro, Tong Zhang

Proceedings of the 34th International Conference on Machine Learning, 2017

Modeling Key Infection in Large-Scale Sensor Networks.

Feiyang Peng, Zhihong Liu, Yong Zeng, Jialei Wang

Proceedings of the Information and Communications Security - 19th International Conference, 2017

Memory and Communication Efficient Distributed Stochastic Optimization with Minibatch Prox.

Jialei Wang, Weiran Wang, Nathan Srebro

Proceedings of the 30th Conference on Learning Theory, 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

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

A Semantic-Based Approach to Service Clustering from Service Documents.

Bo Jiang, Lingyao Ye, Jialei Wang, Ye Wang

Proceedings of the 2017 IEEE International Conference on Services Computing, 2017

2016

Soft Confidence-Weighted Learning.

Jialei Wang, Peilin Zhao, Steven C. H. Hoi

ACM Trans. Intell. Syst. Technol., 2016

Large Scale Online Kernel Learning.

Jing Lu, Steven C. H. Hoi, Jialei Wang, Peilin Zhao, Zhiyong Liu

J. Mach. Learn. Res., 2016

Globally Convergent Stochastic Optimization for Canonical Correlation Analysis.

Weiran Wang, Jialei Wang, Nathan Srebro

CoRR, 2016

Reducing Runtime by Recycling Samples.

Jialei Wang, Hai Wang, Nathan Srebro

CoRR, 2016

Distributed Multi-Task Learning with Shared Representation.

Jialei Wang, Mladen Kolar, Nathan Srebro

CoRR, 2016

Warm starting Bayesian optimization.

Matthias Poloczek, Jialei Wang, Peter I. Frazier

Proceedings of the Winter Simulation Conference, 2016

Efficient Globally Convergent Stochastic Optimization for Canonical Correlation Analysis.

Weiran Wang, Jialei Wang, Dan Garber, Nati Srebro

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 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, Aurélie C. Lozano

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Distributed Multi-Task Learning.

Jialei Wang, Mladen Kolar, Nathan Srebro

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Inference for High-dimensional Exponential Family Graphical Models.

Jialei Wang, Mladen Kolar

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

Distributed Multitask Learning.

Jialei Wang, Mladen Kolar, Nathan Srebro

CoRR, 2015

Trading Interpretability for Accuracy: Oblique Treed Sparse Additive Models.

Jialei Wang, Ryohei Fujimaki, Yosuke Motohashi

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

SOLAR: Scalable Online Learning Algorithms for Ranking.

Jialei Wang, Ji Wan, Yongdong Zhang, Steven C. H. Hoi

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014

Online Feature Selection and Its Applications.

Jialei Wang, Peilin Zhao, Steven C. H. Hoi, Rong Jin

IEEE Trans. Knowl. Data Eng., 2014

Cost-Sensitive Online Classification.

Jialei Wang, Peilin Zhao, Steven C. H. Hoi

IEEE Trans. Knowl. Data Eng., 2014

LIBOL: a library for online learning algorithms.

Steven C. H. Hoi, Jialei Wang, Peilin Zhao

J. Mach. Learn. Res., 2014

Online Transfer Learning.

Peilin Zhao, Steven C. H. Hoi, Jialei Wang, Bin Li

Artif. Intell., 2014

A Consistent Estimator of the Expected Gradient Outerproduct.

Shubhendu Trivedi, Jialei Wang, Samory Kpotufe, Gregory Shakhnarovich

Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Active collaborative permutation learning.

Jialei Wang, Nathan Srebro, James Evans

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013

Online multi-task collaborative filtering for on-the-fly recommender systems.

Jialei Wang, Steven C. H. Hoi, Peilin Zhao, Zhiyong Liu

Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Large Scale Online Kernel Classification.

Steven C. H. Hoi, Jialei Wang, Peilin Zhao, Jinfeng Zhuang, Zhiyong Liu

Proceedings of the IJCAI 2013, 2013

Second Order Online Collaborative Filtering.

Jing Lu, Steven C. H. Hoi, Jialei Wang

Proceedings of the Asian Conference on Machine Learning, 2013

2012

Online feature selection for mining big data.

Steven C. H. Hoi, Jialei Wang, Peilin Zhao, Rong Jin

Proceedings of the 1st International Workshop on Big Data, 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

Proceedings of the 29th International Conference on Machine Learning, 2012

Exact Soft Confidence-Weighted Learning.

Steven C. H. Hoi, Jialei Wang, Peilin Zhao

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

Unsupervised Multiple Kernel Learning.

Jialei Wang, Jinfeng Zhuang, Steven C. H. Hoi

Proceedings of the 3rd Asian Conference on Machine Learning, 2011