Sheng Jun Huang,Sheng Jun Huang,Cai, Jia-Jia,Tang, Jun,Chen, Qing-Guo,Hu, Yao,Wang, Xiaobo.Multi-view active learning for video recommendation:IJCAI Int. Joint Conf. Artif. Intell.,2019

Sheng Jun Huang,Xie, Ming-Kun,Sheng Jun Huang,Xie, Ming-Kun.Partial multi-label learning:AAAI Conf. Artif. Intell., AAAI,2018

Sheng Jun Huang,Sheng Jun Huang,Xie, Ming-Kun.Learning class-conditional GANs with active sampling:Proc. ACM SIGKDD Int. Conf. Knowl. Discov. Data Min.,2019

Sheng Jun Huang,Sheng Jun Huang,Gao, Nengneng,Yan, Yifan,csc.Cross modal similarity learning with active queries:PATTERN RECOGNITION,2018

Sheng Jun Huang,黄圣君,Sugiyama, Masashi,Xu, Miao,Sheng Jun Huang,Sugiyama, Masashi,Xu, Miao,Niu, Gang,Xie, Ming-Kun,csc.Active feature acquisition with supervised matrix completion:Proc. ACM SIGKDD Int. Conf. Knowl. Discov. Data Min.,2018

Sheng Jun Huang,Sheng Jun Huang,Zhao, Jia-Wei,Liu, Zhao-Yang.Cost-effective training of deep CNNs with active model adaptation:Proc. ACM SIGKDD Int. Conf. Knowl. Discov. Data Min.,2018

Sheng Jun Huang,黄圣君,Chen, Jia-Lve,Sheng Jun Huang,Chen, Jia-Lve,Mu, Xin,Zhou, Zhi-Hua.Cost-effective active learning from diverse labelers:IJCAI Int. Joint Conf. Artif. Intell.,2017

Sheng Jun Huang,Sheng Jun Huang,Gao, Nengneng,csc.Multi-instance multi-label active learning:IJCAI Int. Joint Conf. Artif. Intell.,2017