Da Wu

According to our database, Da Wu authored at least 13 papers between 2021 and 2025.

Collaborative distances:

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

2025

HTCSigNet: A Hybrid Transformer and Convolution Signature Network for offline signature verification.

Lidong Zheng, Da Wu, Shengjie Xu, Yuchen Zheng

Pattern Recognit., 2025

2024

Physics-informed machine learning models for ship speed prediction.

Xiao Lang, Da Wu, Wengang Mao

Expert Syst. Appl., March, 2024

The Model of Ship Navigation Risk Field for Risk Assessment of Icebreaker Convoy Operations.

Di Zhang, Jiru Han, Da Wu, Wengang Mao

IEEE Trans. Intell. Transp. Syst., January, 2024

Enhancing phenotype recognition in clinical notes using large language models: PhenoBCBERT and PhenoGPT.

Jingye Yang, Cong Liu, Wendy Deng, Da Wu, Chunhua Weng, Yunyun Zhou, Kai Wang

Patterns, January, 2024

Exploring the reversal curse and other deductive logical reasoning in BERT and GPT-based large language models.

Da Wu, Jingye Yang, Kai Wang

Patterns, 2024

SLFRM: A Novel Signature Local Feature Reconstruction Module for Offline Signature Verification.

Lidong Zheng, Da Wu, Minjian Zhang, Yuchen Zheng

Proceedings of the 2024 13th International Conference on Computing and Pattern Recognition, 2024

2023

Classification of integers based on residue classes via modern deep learning algorithms.

Da Wu, Jingye Yang, Mian Umair Ahsan, Kai Wang

Patterns, December, 2023

Deep Reinforcement Learning Empowered Rate Selection of XP-HARQ.

Da Wu, Jiahui Feng, Zheng Shi, Hongjiang Lei, Guanghua Yang, Shaodan Ma

IEEE Commun. Lett., September, 2023

Coordination Analysis between the Development of Urban Built-Up Areas and Urban Environmental Factors through Remote Sensing of Nighttime Lights: A Case Study in Nanjing, China.

Guoqing Zhou, Da Wu, Xiao Zhou, Qiang Zhu

Remote. Sens., July, 2023

Multimodal Machine Learning Combining Facial Images and Clinical Texts Improves Diagnosis of Rare Genetic Diseases.

Da Wu, Jingye Yang, Steven Klein, Cong Liu, Tzung-Chien Hsieh, Peter Krawitz, Chunhua Weng, Gholson J. Lyon, Jennifer M. Kalish, Kai Wang

CoRR, 2023

Not All Large Language Models (LLMs) Succumb to the "Reversal Curse": A Comparative Study of Deductive Logical Reasoning in BERT and GPT Models.

Jingye Yang, Da Wu, Kai Wang

CoRR, 2023

On the Prime Number Divisibility by Deep Learning.

Da Wu, Jingye Yang, Mian Umair Ahsan, Kai Wang

CoRR, 2023

2021

Design of GPU-Based Aerial Monitoring Signal Processing Software.

Jian Cao, Da Wu

Proceedings of the ICCIR 2021: International Conference on Control and Intelligent Robotics, 2021