Publications

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K. Ghasedi Dizaji, H. Gao, , Y. Yang, C. Deng, H. Huang. Robust Cumulative Crowdsourcing Framework Using New Incentive Payment Function and Joint Aggregation Model. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019.

K. Ghasedi Dizaji, X. Wang, , C. Deng, H. Huang. Balanced Self-Paced Learning for Generative Adversarial Clustering Network. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.

K. Ghasedi Dizaji, X. Wang, H. Huang. Conditional Generative Adversarial Network for Gene Expression Inference. 17th European Conference on Computational Biology (ECCB), 2018.

K. Ghasedi Dizaji, X. Wang, H. Huang. Semi-Supervised Generative Adversarial Network for Gene Expression Inference. The 24th SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2018.

K. Ghasedi Dizaji, F. Zheng, N. Sadoughi, Y. Yang, C. Deng, H. Huang. Unsupervised Deep Generative Adversarial Hashing Network. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.

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K. Ghasedi Dizaji, H. Huang. Sentiment Analysis via Deep Hybrid Textual-Crowd Learning Model. AAAI Conference on Artificial Intelligence (AAAI), 2018.

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K. Ghasedi Dizaji, Y. Yang, H. Huang. Joint Generative-Discriminative Aggregation Model for Multi-Option Crowd Labels. ACM International Conference on Web Search and Data Mining (WSDM), 2018.

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K. Ghasedi Dizaji, A. Herandi, C. Deng, W. Cai, H. Huang. Deep clustering via joint convolutional autoencoder embedding and relative entropy minimization. IEEE International Conference on Computer Vision (ICCV), 2017.

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