Baohang Zhou

According to our database, Baohang Zhou authored at least 13 papers between 2021 and 2024.

Collaborative distances:

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

2024

UniRetriever: Multi-task Candidates Selection for Various Context-Adaptive Conversational Retrieval.

Hongru Wang, Boyang Xue, Baohang Zhou, Rui Wang, Fei Mi, Weichao Wang, Yasheng Wang, Kam-Fai Wong

CoRR, 2024

Self-DC: When to retrieve and When to generate? Self Divide-and-Conquer for Compositional Unknown Questions.

Hongru Wang, Boyang Xue, Baohang Zhou, Tianhua Zhang, Cunxiang Wang, Guanhua Chen, Huimin Wang, Kam-Fai Wong

CoRR, 2024

2023

BioFEG: Generate Latent Features for Biomedical Entity Linking.

Xuhui Sui, Ying Zhang, Xiangrui Cai, Kehui Song, Baohang Zhou, Xiaojie Yuan, Wensheng Zhang

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

Selecting Key Views for Zero-Shot Entity Linking.

Xuhui Sui, Ying Zhang, Kehui Song, Baohang Zhou, Xiaojie Yuan, Wensheng Zhang

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

2022

Multi-grained Label Refinement Network with Dependency Structures for Joint Intent Detection and Slot Filling.

Baohang Zhou, Ying Zhang, Xuhui Sui, Kehui Song, Xiaojie Yuan

CoRR, 2022

A Multi-Task Learning Framework for Chinese Medical Procedure Entity Normalization.

Xuhui Sui, Kehui Song, Baohang Zhou, Ying Zhang, Xiaojie Yuan

Proceedings of the IEEE International Conference on Acoustics, 2022

A Span-based Multimodal Variational Autoencoder for Semi-supervised Multimodal Named Entity Recognition.

Baohang Zhou, Ying Zhang, Kehui Song, Wenya Guo, Guoqing Zhao, Hongbin Wang, Xiaojie Yuan

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

P\textM²\textF²N: Patient Multi-view Multi-modal Feature Fusion Networks for Clinical Outcome Prediction.

Ying Zhang, Baohang Zhou, Kehui Song, Xuhui Sui, Guoqing Zhao, Ning Jiang, Xiaojie Yuan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Improving Zero-Shot Entity Linking Candidate Generation with Ultra-Fine Entity Type Information.

Xuhui Sui, Ying Zhang, Kehui Song, Baohang Zhou, Guoqing Zhao, Xin Wei, Xiaojie Yuan

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

2021

Adversarially learned one-class novelty detection with confidence estimation.

Ying Zhang, Baohang Zhou, Xiaoke Ding, Jiawei Ouyang, Xiangrui Cai, Jinyang Gao, Xiaojie Yuan

Inf. Sci., 2021

Missing value imputation in multivariate time series with end-to-end generative adversarial networks.

Ying Zhang, Baohang Zhou, Xiangrui Cai, Wenya Guo, Xiaoke Ding, Xiaojie Yuan

Inf. Sci., 2021

An End-to-End Progressive Multi-Task Learning Framework for Medical Named Entity Recognition and Normalization.

Baohang Zhou, Xiangrui Cai, Ying Zhang, Xiaojie Yuan

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

MTAAL: Multi-Task Adversarial Active Learning for Medical Named Entity Recognition and Normalization.

Baohang Zhou, Xiangrui Cai, Ying Zhang, Wenya Guo, Xiaojie Yuan

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021