Haowen Liang

According to our database, Haowen Liang authored at least 11 papers between 2015 and 2025.

Collaborative distances:

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

2025

A Two-Stage Reinforcement Learning Approach for Unit Commitment Considering Photovoltaic Power Forecasting Errors.

Yuanyuan Wang, Yuting Yan, Haowen Liang, Ziqing Zhu, Shiwei Xia

Proceedings of the IEEE Industry Applications Society Annual Meeting, 2025

A Two-level Interconnected Grid-Based Distribution Network Architecture Using Flexible Interconnection Devices.

Haowen Liang, Na Li, Zhi Guo, Chenchen Kong, Ziqing Zhu, Shiwei Xia

Proceedings of the IEEE Industry Applications Society Annual Meeting, 2025

Active load forecasting based on hybrid ensemble learning framework considering active-reactive coupling.

Chen Li, Xinyuan Hu, Yuting Yan, Haowen Liang, Ziqing Zhu, Shiwei Xia, Peng Wang

Proceedings of the IEEE Industry Applications Society Annual Meeting, 2025

Optimal Energy Storage Siting and Capacity Configuration for Rail Transit Self-Consistent Systems Based on Cluster Division.

Siyu Guo, Haowen Liang, Haiyi Wu, Ting Wu, Shiwei Xia

Proceedings of the IEEE Industry Applications Society Annual Meeting, 2025

2024

AFSRNet: learning local descriptors with adaptive multi-scale feature fusion and symmetric regularization.

Dong Li, Haowen Liang, Kin-Man Lam

Appl. Intell., April, 2024

A directionally illuminated pixel-selective flickering-free autostereoscopic display.

Yong He, Xuehao Chen, Guangyong Zhang, Yunjia Fan, Xingbin Liu, Dongyan Deng, Zhongbo Yan, Haowen Liang, Jianying Zhou

Displays, 2024

2023

Revisit Few-shot Intent Classification with PLMs: Direct Fine-tuning vs. Continual Pre-training.

Haode Zhang, Haowen Liang, Li-Ming Zhan, Xiao-Ming Wu, Albert Y. S. Lam

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Fine-tuning Pre-trained Language Models for Few-shot Intent Detection: Supervised Pre-training and Isotropization.

Haode Zhang, Haowen Liang, Yuwei Zhang, Li-Ming Zhan, Xiao-Ming Wu, Xiaolei Lu, Albert Y. S. Lam

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

A Closer Look at Few-Shot Out-of-Distribution Intent Detection.

Li-Ming Zhan, Haowen Liang, Lu Fan, Xiao-Ming Wu, Albert Y. S. Lam

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

Out-of-Scope Intent Detection with Self-Supervision and Discriminative Training.

Li-Ming Zhan, Haowen Liang, Bo Liu, Lu Fan, Xiao-Ming Wu, Albert Y. S. Lam

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2015

Glasses-free 3D display with glasses-assisted quality: Key innovations for smart directional backlight autostereoscopy.

Hang Fan, Yangui Zhou, Haowen Liang, Jiahui Wang, Peter Krebs, Daikun Lin, Jianbang Su, Kunyang Li, Haiyu Chen, Xiaolu Wang, Jianying Zhou

Proceedings of the 2015 Visual Communications and Image Processing, 2015