Zeqiang Wang

According to our database, Zeqiang Wang authored at least 8 papers between 2021 and 2024.

Collaborative distances:

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

2024

Revealing COVID-19's Social Dynamics: Diachronic Semantic Analysis of Vaccine and Symptom Discourse on Twitter.

Zeqiang Wang, Jiageng Wu, Yuqi Wang, Wei Wang, Jie Yang, Jon Johnson, Nishanth Sastry, Suparna De

CoRR, 2024

DKE-Research at SemEval-2024 Task 2: Incorporating Data Augmentation with Generative Models and Biomedical Knowledge to Enhance Inference Robustness.

Yuqi Wang, Zeqiang Wang, Wei Wang, Qi Chen, Kaizhu Huang, Anh Nguyen, Suparna De

Proceedings of the 18th International Workshop on Semantic Evaluation, 2024

Revealing COVID-19's Social Dynamics: Diachronic Semantic Analysis of Vaccine and Symptom Discourse on Twitter.

Zeqiang Wang, Jiageng Wu, Yuqi Wang, Wei Xjtlu, Jie Yang, Nishanth Sastry, Jon Johnson, Suparna De

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Intelligent Health Monitoring of Cable Network Structures Based on Fusion of Twin Simulation and Sensory Data.

Guoliang Shi, Zhansheng Liu, Xiaolin Meng, Zeqiang Wang

Symmetry, February, 2023

Zero-Shot Medical Information Retrieval via Knowledge Graph Embedding.

Yuqi Wang, Zeqiang Wang, Wei Wang, Qi Chen, Kaizhu Huang, Anh Nguyen, Suparna De

CoRR, 2023

YATO: Yet Another deep learning based Text analysis Open toolkit.

Zeqiang Wang, Yile Wang, Jiageng Wu, Zhiyang Teng, Jie Yang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

METS-CoV: A Dataset of Medical Entity and Targeted Sentiment on COVID-19 Related Tweets.

Peilin Zhou, Zeqiang Wang, Dading Chong, Zhijiang Guo, Yining Hua, Zichang Su, Zhiyang Teng, Jiageng Wu, Jie Yang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Microscopic pore-throat grading evaluation in a tight oil reservoir using machine learning: a case study of the Fuyu oil layer in Bayanchagan area, Songliao Basin central depression.

Yilin Li, Daming Niu, Yunfeng Zhang, Haiguang Wu, Hang Fu, Zeqiang Wang

Earth Sci. Informatics, 2021