Jiang, Liangxiao

10 publications

ICML 2025 Instance Correlation Graph-Based Naive Bayes Chengyuan Li, Liangxiao Jiang, Wenjun Zhang, Liangjun Yu, Huan Zhang

ICML 2025 Label Distribution Propagation-Based Label Completion for Crowdsourcing Tong Wu, Liangxiao Jiang, Wenjun Zhang, Chaoqun Li

ICML 2025 TLLC: Transfer Learning-Based Label Completion for Crowdsourcing Wenjun Zhang, Liangxiao Jiang, Chaoqun Li

NeurIPS 2024 IWBVT: Instance Weighting-Based Bias-Variance Trade-Off for Crowdsourcing Wenjun Zhang, Liangxiao Jiang, Chaoqun Li

NeurIPS 2024 KFNN: K-Free Nearest Neighbor for Crowdsourcing Wenjun Zhang, Liangxiao Jiang, Chaoqun Li

UAI 2024 Label Consistency-Based Worker Filtering for Crowdsourcing Jiao Li, Liangxiao Jiang, Chaoqun Li, Wenjun Zhang

UAI 2024 Learning from Crowds with Dual-View K-Nearest Neighbor Jiao Li, Liangxiao Jiang, Xue Wu, Wenjun Zhang

IJCAI 2019 Multiple Noisy Label Distribution Propagation for Crowdsourcing Hao Zhang, Liangxiao Jiang, Wenqiang Xu

ICML 2005 Augmenting Naive Bayes for Ranking Harry Zhang, Liangxiao Jiang, Jiang Su

AAAI 2005 Hidden Naive Bayes Harry Zhang, Liangxiao Jiang, Jiang Su