Q-TetoFormer: A New Gene Regulatory Network Prediction Method Based on Quantum Computing and Transformer - Hanmo Wang (IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024, Lisbon, Portugal, December 3-6, 2024, 2024)

Detecting Isolation Bugs via Transaction Oracle Construction - Wensheng Dou; Ziyu Cui; Qianwang Dai; Jiansen Song; Dong Wang; Yu Gao; Wei Wang; Jun Wei; Lei Chen; Hanmo Wang; Hua Zhong; Tao Huang (45th IEEE/ACM International Conference on Software Engineering, ICSE 2023, Melbourne, Australia, May 14-20, 2023, 2023)

Bounding Uncertainty for Active Batch Selection - Hanmo Wang; Runwu Zhou; Yi-Dong Shen (The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019, The Thirty-First Innovative Applications of Artificial Intelligence Conference, IAAI 2019, The Ninth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, Honolulu, Hawaii, USA, January 27 - February 1, 2019, 2019)

Uncertainty Sampling for Action Recognition via Maximizing Expected Average Precision - Hanmo Wang; Xiaojun Chang; Lei Shi; Yi Yang; Yi-Dong Shen (Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI 2018, July 13-19, 2018, Stockholm, Sweden, 2018)

Convex Batch Mode Active Sampling via \(α\)-Relative Pearson Divergence - Hanmo Wang; Liang Du; Peng Zhou; Lei Shi; Yi-Dong Shen (Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, January 25-30, 2015, Austin, Texas, USA, 2015)

Experimental Design with Multiple Kernels - Hanmo Wang; Liang Du; Peng Zhou; Lei Shi; Yuhua Qian; Yi-Dong Shen (2015 IEEE International Conference on Data Mining, ICDM 2015, Atlantic City, NJ, USA, November 14-17, 2015, 2015)

Robust Multiple Kernel K-means Using L21-Norm - Liang Du; Peng Zhou; Lei Shi; Hanmo Wang; Mingyu Fan; Wenjian Wang; Yi-Dong Shen (Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI 2015, Buenos Aires, Argentina, July 25-31, 2015, 2015)

Recovery of Corrupted Multiple Kernels for Clustering - Peng Zhou; Liang Du; Lei Shi; Hanmo Wang; Yi-Dong Shen (Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI 2015, Buenos Aires, Argentina, July 25-31, 2015, 2015)

Learning a Robust Consensus Matrix for Clustering Ensemble via Kullback-Leibler Divergence Minimization - Peng Zhou; Liang Du; Hanmo Wang; Lei Shi; Yi-Dong Shen (Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI 2015, Buenos Aires, Argentina, July 25-31, 2015, 2015)