Analyzing Co-training Style Algorithms. - Wei Wang 028; Zhi-Hua Zhou (ECML, 2007)

On multi-view active learning and the combination with semi-supervised learning. - Wei Wang 028; Zhi-Hua Zhou (ICML, 2008)

A New Analysis of Co-Training. - Wei Wang 028; Zhi-Hua Zhou (ICML, 2010)

Multi-View Active Learning in the Non-Realizable Case. - Wei Wang 028; Zhi-Hua Zhou (NIPS, 2010)

Exploiting remote learners in Internet environment with agents. - Ming Li 005; Wei Wang 028; Zhi-Hua Zhou (Sci. China Inf. Sci., 2010)

Disagreement-Based Multi-system Tracking. - Quannan Li; Xinggang Wang; Wei Wang 028; Yuan Jiang 001; Zhi-Hua Zhou; Zhuowen Tu (ACCV Workshops (2), 2012)

Unsupervised metric fusion by cross diffusion. - Bo Wang 044; Jiayan Jiang; Wei Wang 028; Zhi-Hua Zhou; Zhuowen Tu (CVPR, 2012)

Co-Training with Insufficient Views. - Wei Wang 028; Zhi-Hua Zhou (ACML, 2013)

Crowdsourcing label quality: a theoretical analysis. - Wei Wang 028; Zhi-Hua Zhou (Sci. China Inf. Sci., 2015)

Obtaining High-Quality Label by Distinguishing between Easy and Hard Items in Crowdsourcing. - Wei Wang 028; Xiang-Yu Guo; Shao-Yuan Li; Yuan Jiang 001; Zhi-Hua Zhou (IJCAI, 2017)

Theoretical Foundation of Co-Training and Disagreement-Based Algorithms. - Wei Wang 028; Zhi-Hua Zhou (CoRR, 2017)

Tri-net for Semi-Supervised Deep Learning. - Dongdong Chen; Wei Wang 028; Wei Gao 008; Zhi-Hua Zhou (IJCAI, 2018)

Coreset Stochastic Variance-Reduced Gradient with Application to Optimal Margin Distribution Machine. - Zhi-Hao Tan; Teng Zhang 001; Wei Wang 028 (AAAI, 2019)

Towards making co-training suffer less from insufficient views. - Xiangyu Guo; Wei Wang 028 (Frontiers Comput. Sci., 2019)

Co-GCN for Multi-View Semi-Supervised Learning. - Shu Li; Wen-Tao Li 005; Wei Wang 028 (AAAI, 2020)

Multi-View Representation Learning with Manifold Smoothness. - Shu Li; Wei Wang 028; Wen-Tao Li 005; Pan Chen (AAAI, 2021)

Multi-Modal Multi-Instance Multi-Label Learning with Graph Convolutional Network. - Cheng Hang; Wei Wang 028; De-Chuan Zhan (IJCNN, 2021)

Multi-Task Learning via Generalized Tensor Trace Norm. - Yi Zhang; Yu Zhang 006; Wei Wang 028 (KDD, 2021)

Exploiting Mixed Unlabeled Data for Detecting Samples of Seen and Unseen Out-of-Distribution Classes. - Yi-Xuan Sun; Wei Wang 028 (AAAI, 2022)

Treatment Effect Estimation across Domains. - Yi-Xuan Sun; Ya-Lin Zhang 001; Wei Wang 028; Longfei Li; Jun Zhou 011 (CIKM, 2023)

Adaptive Clustered Federated Learning with Representation Similarity. - Chiyu Cai; Wei Wang 028; Yuan Jiang 001 (DSAA, 2023)

A Framework for Detecting Frauds from Extremely Few Labels. - Ya-Lin Zhang 001; Yi-Xuan Sun; Fangfang Fan; Meng Li; Yeyu Zhao; Wei Wang 028; Longfei Li; Jun Zhou 011; Jinghua Feng (WSDM, 2023)

Learning Linear and Nonlinear Low-Rank Structure in Multi-Task Learning. - Yi Zhang; Yu Zhang 006; Wei Wang 028 (IEEE Trans. Knowl. Data Eng., 2023)