Wu, Hua

ERNIE 2.0: A Continual Pre-Training Framework for Language Understanding

Sun, Y., Wang, S., Li, Y., Feng, S., Tian, H., Wu, H., & Wang, H. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 766

ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation

Sun, Y., Wang, S., Feng, S., Ding, S., Pang, C., Shang, J., Liu, J., Chen, X., Zhao, Y., Lu, Y., et al. (2021) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 186

Enhancing Pre-Trained Language Representations with Rich Knowledge for Machine Reading Comprehension

Yang, A., Wang, Q., Liu, J., Liu, K., Lyu, Y., Wu, H., She, Q., & Li, S. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Topic ModelingMultimodal Machine Learning Applications

Cited by 155

DTSyn: a dual-transformer-based neural network to predict synergistic drug combinations

Hu, J., Gao, J., Fang, X., Liu, Z., Wang, F., Huang, W., wu, H., & Zhao, G. (2022) · Briefings in Bioinformatics

Computational Drug Discovery MethodsBioinformatics and Genomic Networks

Cited by 65

DTSyn: a dual-transformer-based neural network to predict synergistic drug combinations

Hu, J., Gao, J., Fang, X., Liu, Z., Wang, F., Huang, W., Wu, H., & Zhao, G. (2022) · Briefings in Bioinformatics

Computational Drug Discovery MethodsBioinformatics and Genomic Networks

Cited by 65

TOME: A Two-stage Approach for Model-based Retrieval

Ren, R., Zhao, W. X., Liu, J., Wu, H., Wen, J.-R., & Wang, H. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Information Retrieval and Search BehaviorTopic Modeling

Cited by 14

Inner Thinking Transformer: Leveraging Dynamic Depth Scaling to Foster Adaptive Internal Thinking

Chen, Y., Shang, J., Zhang, Z., Xie, Y., Sheng, J., Liu, T., Wang, S., Sun, Y., Wu, H., & Wang, H. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0