Convex Batch Mode Active Sampling via α-Relative Pearson Divergence. - Hanmo Wang; Liang Du 003; Peng Zhou 006; Lei Shi 015; Yi-Dong Shen (AAAI, 2015)

Experimental Design with Multiple Kernels. - Hanmo Wang; Liang Du 003; Peng Zhou 006; Lei Shi 015; Yuhua Qian; Yi-Dong Shen (ICDM, 2015)

Robust Multiple Kernel K-means Using L21-Norm. - Liang Du 003; Peng Zhou 006; Lei Shi 015; Hanmo Wang; Mingyu Fan; Wenjian Wang; Yi-Dong Shen (IJCAI, 2015)

Recovery of Corrupted Multiple Kernels for Clustering. - Peng Zhou 006; Liang Du 003; Lei Shi 015; Hanmo Wang; Yi-Dong Shen (IJCAI, 2015)

Learning a Robust Consensus Matrix for Clustering Ensemble via Kullback-Leibler Divergence Minimization. - Peng Zhou 006; Liang Du 003; Hanmo Wang; Lei Shi 015; Yi-Dong Shen (IJCAI, 2015)

Uncertainty Sampling for Action Recognition via Maximizing Expected Average Precision. - Hanmo Wang; Xiaojun Chang; Lei Shi 015; Yi Yang 001; Yi-Dong Shen (IJCAI, 2018)

Bounding Uncertainty for Active Batch Selection. - Hanmo Wang; Runwu Zhou; Yi-Dong Shen (AAAI, 2019)

Detecting Isolation Bugs via Transaction Oracle Construction. - Wensheng Dou; Ziyu Cui; Qianwang Dai; Jiansen Song; Dong Wang 048; Yu Gao 002; Wei Wang 049; Jun Wei 001; Lei Chen; Hanmo Wang; Hua Zhong 001; Tao Huang 001 (ICSE, 2023)

Q-TetoFormer: A New Gene Regulatory Network Prediction Method Based on Quantum Computing and Transformer. - Hanmo Wang (BIBM, 2024)