Zehan Li

According to our database, Zehan Li authored at least 26 papers between 2020 and 2024.

Collaborative distances:

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

2024

Factorized and progressive knowledge distillation for CTC-based ASR models.

Sanli Tian, Zehan Li, Zhaobiao Lyv, Gaofeng Cheng, Qing Xiao, Ta Li, Qingwei Zhao

Speech Commun., 2024

Artificial intelligence-powered pharmacovigilance: A review of machine and deep learning in clinical text-based adverse drug event detection for benchmark datasets.

Yiming Li, Wei Tao, Zehan Li, Zenan Sun, Fang Li, Susan H. Fenton, Hua Xu, Cui Tao

J. Biomed. Informatics, 2024

RefAI: a GPT-powered retrieval-augmented generative tool for biomedical literature recommendation and summarization.

Yiming Li, Jeff Zhao, Manqi Li, Yifang Dang, Evan Yu, Jianfu Li, Zenan Sun, Usama Hussein, Jianguo Wen, Ahmed M. Abdelhameed, Junhua Mai, Shenduo Li, Yue Yu, Xinyue Hu, Daowei Yang, Jingna Feng, Zehan Li, Jianping He, Wei Tao, Tiehang Duan, Yanyan Lou, Fang Li, Cui Tao

J. Am. Medical Informatics Assoc., 2024

Improving large language models for clinical named entity recognition via prompt engineering.

Yan Hu, Qingyu Chen, Jingcheng Du, Xueqing Peng, Vipina Kuttichi Keloth, Xu Zuo, Yujia Zhou, Zehan Li, Xiaoqian Jiang, Zhiyong Lu, Kirk Roberts, Hua Xu

J. Am. Medical Informatics Assoc., 2024

Suicide Phenotyping from Clinical Notes in Safety-Net Psychiatric Hospital Using Multi-Label Classification with Pre-Trained Language Models.

Zehan Li, Yan Hu, Scott Lane, Salih Selek, Lokesh Shahani, Rodrigo Machado-Vieira, Jair Soares, Hua Xu, Hongfang Liu, Ming Huang

CoRR, 2024

Applying and Evaluating Large Language Models in Mental Health Care: A Scoping Review of Human-Assessed Generative Tasks.

Yining Hua, Hongbin Na, Zehan Li, Fenglin Liu, Xiao Fang, David A. Clifton, John Torous

CoRR, 2024

Advancing GenAI Assisted Programming-A Comparative Study on Prompt Efficiency and Code Quality Between GPT-4 and GLM-4.

Angus Yang, Zehan Li, Jie Li

CoRR, 2024

Large Language Models in Mental Health Care: a Scoping Review.

Yining Hua, Fenglin Liu, Kailai Yang, Zehan Li, Yi-han Sheu, Peilin Zhou, Lauren V. Moran, Sophia Ananiadou, Andrew Beam

CoRR, 2024

ProCQA: A Large-scale Community-based Programming Question Answering Dataset for Code Search.

Zehan Li, Jianfei Zhang, Chuantao Yin, Yuanxin Ouyang, Wenge Rong

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

AlignRE: An Encoding and Semantic Alignment Approach for Zero-Shot Relation Extraction.

Zehan Li, Fu Zhang, Jingwei Cheng

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

2023

Language Models are Universal Embedders.

Xin Zhang, Zehan Li, Yanzhao Zhang, Dingkun Long, Pengjun Xie, Meishan Zhang, Min Zhang

CoRR, 2023

Towards General Text Embeddings with Multi-stage Contrastive Learning.

Zehan Li, Xin Zhang, Yanzhao Zhang, Dingkun Long, Pengjun Xie, Meishan Zhang

CoRR, 2023

Challenging Decoder helps in Masked Auto-Encoder Pre-training for Dense Passage Retrieval.

Zehan Li, Yanzhao Zhang, Dingkun Long, Pengjun Xie

CoRR, 2023

Zero-shot Clinical Entity Recognition using ChatGPT.

Yan Hu, Iqra Ameer, Xu Zuo, Xueqing Peng, Yujia Zhou, Zehan Li, Yiming Li, Jianfu Li, Xiaoqian Jiang, Hua Xu

CoRR, 2023

QEA-Net: Quantum-Effects-based Attention Networks.

Juntao Zhang, Jun Zhou, Hailong Wang, Yang Lei, Peng Cheng, Zehan Li, Hao Wu, Kun Yu, Wenbo An

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

A feature engineering method for machine learning inspired by quantum mechanics.

Juntao Zhang, Peng Cheng, Zehan Li, Hao Wu, Wenbo An, Jun Zhou

Proceedings of the International Joint Conference on Neural Networks, 2023

QCA-Net: Quantum-based Channel Attention for Deep Neural Networks.

Juntao Zhang, Peng Cheng, Zehan Li, Hao Wu, Wenbo An, Jun Zhou

Proceedings of the International Joint Conference on Neural Networks, 2023

Applications of Quantum Embedding in Computer Vision.

Juntao Zhang, Jun Zhou, Hailong Wang, Yang Lei, Peng Cheng, Zehan Li, Hao Wu, Kun Yu, Wenbo An

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Suicide Tendency Prediction from Psychiatric Notes Using Transformer Models.

Zehan Li, Iqra Ameer, Yan Hu, Ahmed Abdelhameed, Cui Tao, Salih Selek, Hua Xu

Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

An Application of Quantum Mechanics to Attention Methods in Computer Vision.

Juntao Zhang, Yihao Luo, Peng Cheng, Zehan Li, Hao Wu, Kun Yu, Wenbo An, Jun Zhou

Proceedings of the IEEE International Conference on Acoustics, 2023

Text Representation Distillation via Information Bottleneck Principle.

Yanzhao Zhang, Dingkun Long, Zehan Li, Pengjun Xie

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

2022

Learning Diverse Document Representations with Deep Query Interactions for Dense Retrieval.

Zehan Li, Nan Yang, Liang Wang, Furu Wei

CoRR, 2022

Knowledge Distillation For CTC-based Speech Recognition Via Consistent Acoustic Representation Learning.

Sanli Tian, Keqi Deng, Zehan Li, Lingxuan Ye, Gaofeng Cheng, Ta Li, Yonghong Yan

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Improving Streaming End-to-End ASR on Transformer-based Causal Models with Encoder States Revision Strategies.

Zehan Li, Haoran Miao, Keqi Deng, Gaofeng Cheng, Sanli Tian, Ta Li, Yonghong Yan

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Effects of Information Presentation Modalities on Antibiotic Reassessment Decision-Making in PICU: A Comparison Study.

Zehan Li, Jules Bergmann, James C. Fackler, Harold P. Lehmann

Proceedings of the AMIA 2022, 2022

2020

Decoding fNIRS based imagined movements associated with speed and force for a brain-computer interface.

Xinglong Geng, Zehan Li

Int. J. Model. Identif. Control., 2020