Hanmo Wang

According to our database, Hanmo Wang authored at least 12 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

DfMA-Oriented Rebar Design Optimization for Reinforced Concrete Slabs Using a Hybrid Mechanism Integrating Graph Neural Networks and Metaheuristic Algorithms.

Mingkai Li, Fangzhou Lin, Tao Wang, Difeng Hu, Hanmo Wang, Boyu Wang, Jack C. P. Cheng

J. Comput. Civ. Eng., 2026

A knowledge-intensive LLM-assisted evolutionary framework for multi-objective geometric design of high-performance concrete structures.

Zhuyin Lu, Hanmo Wang, Jingwen Song, Xin Tian, Alexander Lin

Expert Syst. Appl., 2026

SMIX: Schedulable Instruction Set Architecture Extension Interface for Multi-Operand Operators.

Shufan He, Hanmo Wang, Kefa Chen, Xuyin Chen, Xianhua Liu, Chun Yang

Proceedings of the Design, Automation & Test in Europe Conference, 2026

2024

Q-TetoFormer: A New Gene Regulatory Network Prediction Method Based on Quantum Computing and Transformer.

Hanmo Wang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

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

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2019

Bounding Uncertainty for Active Batch Selection.

Hanmo Wang, Runwu Zhou, Yi-Dong Shen

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

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, 2018

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, 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, 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, 2015

Experimental Design with Multiple Kernels.

Hanmo Wang, Liang Du, Peng Zhou, Lei Shi, Yuhua Qian, Yi-Dong Shen

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

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, 2015