Error Correction Method in Classification by Using Multiple-Criteria and Multiple-Constraint Levels Linear Programming. - Bo Wang 049; Yong Shi 001 (Int. J. Comput. Commun. Control, 2012)

Misclassification Minimization Based on Multiple Criteria Linear Programming. - Bo Wang 049; Yong Shi 001; Wayne Wei Huang; Guanfeng Liu 001 (ICDM Workshops, 2014)

An Algebra Description for Hard Clustering. - Bo Wang 049; Yong Shi 001; Zhuofan Yang; Xuchan Ju (ICDS, 2015)

Search Engine Marketing, Financing Ability and Firm Performance in E-commerce. - Zhuofan Yang; Yong Shi 001; Bo Wang 049 (ITQM, 2015)

Linear Twin SVM for Learning from Label Proportions. - Bo Wang 049; Zhensong Chen 001; Zhiquan Qi (WI-IAT (3), 2015)

World Search Engine IQ Test Based on the Internet IQ Evaluation Algorithms. - Feng Liu 030; Yong Shi 001; Bo Wang 049 (Int. J. Inf. Technol. Decis. Mak., 2015)

Semi-supervised classification with privileged information. - Zhiquan Qi; Yingjie Tian 001; Lingfeng Niu; Bo Wang 049 (Int. J. Mach. Learn. Cybern., 2015)

When Ensemble Learning Meets Deep Learning: a New Deep Support Vector Machine for Classification. - Zhiquan Qi; Bo Wang 049; Yingjie Tian 001; Peng Zhang 001 (Knowl. Based Syst., 2016)

A study on error correction of multiple criteria and multiple constraint levels linear programming based classification. - Bo Wang 049; Yong Shi 001 (WI, 2017)

Learning with label proportions based on nonparallel support vector machines. - Zhensong Chen 001; Zhiquan Qi; Bo Wang 049; Limeng Cui; Fan Meng; Yong Shi 001 (Knowl. Based Syst., 2017)

Learning With Label Proportions via NPSVM. - Zhiquan Qi; Bo Wang 049; Fan Meng; Lingfeng Niu (IEEE Trans. Cybern., 2017)

Kernel Extreme Learning Machine for Learning from Label Proportions. - Hao Yuan; Bo Wang 049; Lingfeng Niu (ICCS (2), 2018)

Learning from label proportions on high-dimensional data. - Yong Shi 001; Jiabin Liu; Zhiquan Qi; Bo Wang 049 (Neural Networks, 2018)

A Novel Texture Generation Super Resolution Model. - Biao Li; Yong Shi 001; Sujuan Li; Bo Wang 049; Zhiquan Qi; Jiabin Liu (ITQM, 2019)

Non-negative Matrix Factorization Based Learning from Label Proportions for Vehicle Loan Default Detection. - Hai Li; Qiang Tong 004; Bo Wang 049 (ITQM, 2019)

Multi-Class Learning from Label Proportions for Bank Customer Classification. - Yaxing Qian; Qiang Tong 004; Bo Wang 049 (ITQM, 2019)

Learning from Label Proportions with Generative Adversarial Networks. - Jiabin Liu; Bo Wang 049; Zhiquan Qi; Yingjie Tian 001; Yong Shi 001 (NeurIPS, 2019)

Token based crack detection. - Fan Meng; Zhiquan Qi; Zhensong Chen 001; Bo Wang 049; Yong Shi 001 (J. Intell. Fuzzy Syst., 2020)

Deep learning from label proportions with labeled samples. - Yong Shi 001; Jiabin Liu; Bo Wang 049; Zhiquan Qi; Yingjie Tian 001 (Neural Networks, 2020)

s-LWSR: Super Lightweight Super-Resolution Network. - Biao Li; Bo Wang 049; Jiabin Liu; Zhiquan Qi; Yong Shi 001 (IEEE Trans. Image Process., 2020)

Two-stage Training for Learning from Label Proportions. - Jiabin Liu; Bo Wang 049; Xin Shen 003; Zhiquan Qi; Yingjie Tian 001 (IJCAI, 2021)

AutoAno: Anomaly Localization with Self-supervised Multi-scale Feature and Multivariate Gaussian Estimation. - Qiang Tong 004; Meixue Sun; Bo Wang 049; Dianyu Liu (WI/IAT (Workshop/Special Session), 2021)

RGSR: A two-step lossy JPG image super-resolution based on noise reduction. - Biao Li; Yong Shi 001; Bo Wang 049; Zhiquan Qi; Jiabin Liu (Neurocomputing, 2021)

SELF-LLP: Self-supervised learning from label proportions with self-ensemble. - Jiabin Liu; Zhiquan Qi; Bo Wang 049; Yingjie Tian 001; Yong Shi 001 (Pattern Recognit., 2022)

Fast and Accurate Road Crack Detection Based on Adaptive Cost-Sensitive Loss Function. - Kai Li 045; Bo Wang 049; Yingjie Tian 001; Zhiquan Qi (IEEE Trans. Cybern., 2023)

GAN-CL: Generative Adversarial Networks for Learning From Complementary Labels. - Jiabin Liu; Hanyuan Hang; Bo Wang 049; Biao Li; Huadong Wang; Yingjie Tian 001; Yong Shi 001 (IEEE Trans. Cybern., 2023)

MIML-GAN: A GAN-Based Algorithm for Multi-Instance Multi-Label Learning on Overlapping Signal Waveform Recognition. - Zesi Pan; Bo Wang 049; Ruibin Zhang; Shafei Wang; Yunjie Li; Yan Li 035 (IEEE Trans. Signal Process., 2023)

LLP-AAE: Learning from label proportions with adversarial autoencoder. - Bo Wang 049; Yingte Sun; Qiang Tong 004 (Neurocomputing, 2023)

LLP-GAN: A GAN-Based Algorithm for Learning From Label Proportions. - Jiabin Liu; Bo Wang 049; Hanyuan Hang; Huadong Wang; Zhiquan Qi; Yingjie Tian 001; Yong Shi 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Decoupled representation for multi-view learning. - Shiding Sun; Bo Wang 049; Yingjie Tian 001 (Pattern Recognit., 2024)

Rethinking Lightweight Convolutional Neural Networks for Efficient and High-Quality Pavement Crack Detection. - Kai Li 045; Jie Yang; Siwei Ma; Bo Wang 049; Shanshe Wang; Yingjie Tian 001; Zhiquan Qi (IEEE Trans. Intell. Transp. Syst., 2024)

GCKD: Graph contrastive for supervised knowledge distillation. - Zan Chen; Shijie Li; Qiang Tong 004; Bo Wang 049; Shiding Sun (Inf. Sci., 2025)

GR Loss+: A unified perspective for weakly supervised multi-label learning. - Yanxi Chen; Chunxiao Li; Xiaofei Zhou; Bo Wang 049 (Inf. Sci., 2025)

Temporal knowledge graph link predictions with query-guided temporal representation learning. - Linhua Dong; Xiaofei Zhou; Bo Wang 049; Qiannan Zhu; Fan Meng (Inf. Sci., 2025)

RaCo: Reliable multi-augmentation complementary label learning. - Yiwei You; Zan Chen; Meng Xu; Bo Wang 049 (Inf. Sci., 2025)

Tackling biased complementary label learning with large margin. - Yiwei You; Jinglong Huang; Qiang Tong 004; Bo Wang 049 (Inf. Sci., 2025)