Haowen Liang

14 papers B 1C 5Journal 5Unranked 3
YearRankTypeTitle / Venue / Authors
2025 C conf
A Two-Stage Reinforcement Learning Approach for Unit Commitment Considering Photovoltaic Power Forecasting Errors.
IAS
Yuanyuan Wang, Yuting Yan, Haowen Liang, Ziqing Zhu, Shiwei Xia
2025 C conf
A Two-level Interconnected Grid-Based Distribution Network Architecture Using Flexible Interconnection Devices.
IAS
Haowen Liang, Na Li, Zhi Guo, Chenchen Kong, Ziqing Zhu, Shiwei Xia
2025 C conf
Active load forecasting based on hybrid ensemble learning framework considering active-reactive coupling.
IAS
Chen Li, Xinyuan Hu, Yuting Yan, Haowen Liang, Ziqing Zhu, Shiwei Xia, Peng Wang
2025 C conf
Optimal Energy Storage Siting and Capacity Configuration for Rail Transit Self-Consistent Systems Based on Cluster Division.
IAS
Siyu Guo, Haowen Liang, Haiyi Wu, Ting Wu, Shiwei Xia
2024 J jnl
A directionally illuminated pixel-selective flickering-free autostereoscopic display.
Displays
Yong He, Xuehao Chen, Guangyong Zhang, Yunjia Fan, Xingbin Liu, Dongyan Deng, Zhongbo Yan, Haowen Liang, Jianying Zhou
2024 J jnl
AFSRNet: learning local descriptors with adaptive multi-scale feature fusion and symmetric regularization.
Appl. Intell.
Dong Li, Haowen Liang, Kin-Man Lam
2023 — conf
Revisit Few-shot Intent Classification with PLMs: Direct Fine-tuning vs. Continual Pre-training.
ACL (Findings)
Haode Zhang, Haowen Liang, Li-Ming Zhan, Xiao-Ming Wu, Albert Y. S. Lam
2023 J jnl
Revisit Few-shot Intent Classification with PLMs: Direct Fine-tuning vs. Continual Pre-training.
CoRR
Haode Zhang, Haowen Liang, Li-Ming Zhan, Xiao-Ming Wu, Albert Y. S. Lam
2022 B conf
A Closer Look at Few-Shot Out-of-Distribution Intent Detection.
COLING
Li-Ming Zhan, Haowen Liang, Lu Fan, Xiao-Ming Wu, Albert Y. S. Lam
2022 — conf
Fine-tuning Pre-trained Language Models for Few-shot Intent Detection: Supervised Pre-training and Isotropization.
NAACL-HLT
Haode Zhang, Haowen Liang, Yuwei Zhang, Li-Ming Zhan, Xiao-Ming Wu, Xiaolei Lu, Albert Y. S. Lam
2022 J jnl
Fine-tuning Pre-trained Language Models for Few-shot Intent Detection: Supervised Pre-training and Isotropization.
CoRR
Haode Zhang, Haowen Liang, Yuwei Zhang, Li-Ming Zhan, Xiao-Ming Wu, Xiaolei Lu, Albert Y. S. Lam
2021 — conf
Out-of-Scope Intent Detection with Self-Supervision and Discriminative Training.
ACL/IJCNLP (1)
Li-Ming Zhan, Haowen Liang, Bo Liu, Lu Fan, Xiao-Ming Wu, Albert Y. S. Lam
2021 J jnl
Out-of-Scope Intent Detection with Self-Supervision and Discriminative Training.
CoRR
Li-Ming Zhan, Haowen Liang, Bo Liu, Lu Fan, Xiao-Ming Wu, Albert Y. S. Lam
2015 C conf
Glasses-free 3D display with glasses-assisted quality: Key innovations for smart directional backlight autostereoscopy.
VCIP
Hang Fan, Yangui Zhou, Haowen Liang, Jiahui Wang, Peter Krebs, Daikun Lin, Jianbang Su, Kunyang Li, Haiyu Chen, Xiaolu Wang, Jianying Zhou