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2020 – today
- 2024
[j5]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:
Improving large language models for clinical named entity recognition via prompt engineering. J. Am. Medical Informatics Assoc. 31(9): 1812-1820 (2024)- [j4]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:
RefAI: a GPT-powered retrieval-augmented generative tool for biomedical literature recommendation and summarization. J. Am. Medical Informatics Assoc. 31(9): 2030-2039 (2024) - [j3]Yiming Li, Wei Tao, Zehan Li, Zenan Sun, Fang Li, Susan H. Fenton, Hua Xu, Cui Tao:
Artificial intelligence-powered pharmacovigilance: A review of machine and deep learning in clinical text-based adverse drug event detection for benchmark datasets. J. Biomed. Informatics 152: 104621 (2024) - [j2]Sanli Tian, Zehan Li, Zhaobiao Lyv, Gaofeng Cheng, Qing Xiao, Ta Li, Qingwei Zhao:
Factorized and progressive knowledge distillation for CTC-based ASR models. Speech Commun. 160: 103071 (2024) - [c12]Zehan Li, Fu Zhang, Jingwei Cheng:
AlignRE: An Encoding and Semantic Alignment Approach for Zero-Shot Relation Extraction. ACL (Findings) 2024: 2957-2966 - [c11]Zehan Li, Jianfei Zhang, Chuantao Yin, Yuanxin Ouyang, Wenge Rong:
ProCQA: A Large-scale Community-based Programming Question Answering Dataset for Code Search. LREC/COLING 2024: 13057-13067 - [i12]Yining Hua, Fenglin Liu, Kailai Yang, Zehan Li, Yi-han Sheu, Peilin Zhou, Lauren V. Moran, Sophia Ananiadou, Andrew Beam:
Large Language Models in Mental Health Care: a Scoping Review. CoRR abs/2401.02984 (2024) - [i11]Angus Yang, Zehan Li, Jie Li:
Advancing GenAI Assisted Programming-A Comparative Study on Prompt Efficiency and Code Quality Between GPT-4 and GLM-4. CoRR abs/2402.12782 (2024) - [i10]Zehan Li, Jianfei Zhang, Chuantao Yin, Yuanxin Ouyang, Wenge Rong:
ProCQA: A Large-scale Community-based Programming Question Answering Dataset for Code Search. CoRR abs/2403.16702 (2024) - [i9]Yining Hua, Hongbin Na, Zehan Li, Fenglin Liu, Xiao Fang, David A. Clifton, John Torous:
Applying and Evaluating Large Language Models in Mental Health Care: A Scoping Review of Human-Assessed Generative Tasks. CoRR abs/2408.11288 (2024) - [i8]Zehan Li, Yan Hu, Scott Lane, Salih Selek, Lokesh Shahani, Rodrigo Machado-Vieira, Jair Soares, Hua Xu, Hongfang Liu, Ming Huang:
Suicide Phenotyping from Clinical Notes in Safety-Net Psychiatric Hospital Using Multi-Label Classification with Pre-Trained Language Models. CoRR abs/2409.18878 (2024) - 2023
- [c10]Yanzhao Zhang, Dingkun Long, Zehan Li, Pengjun Xie:
Text Representation Distillation via Information Bottleneck Principle. EMNLP 2023: 14372-14383 - [c9]Juntao Zhang, Yihao Luo, Peng Cheng, Zehan Li, Hao Wu, Kun Yu, Wenbo An, Jun Zhou:
An Application of Quantum Mechanics to Attention Methods in Computer Vision. ICASSP 2023: 1-5 - [c8]Zehan Li, Iqra Ameer, Yan Hu, Ahmed Abdelhameed, Cui Tao, Salih Selek, Hua Xu:
Suicide Tendency Prediction from Psychiatric Notes Using Transformer Models. ICHI 2023: 481-483 - [c7]Juntao Zhang, Jun Zhou, Hailong Wang, Yang Lei, Peng Cheng, Zehan Li, Hao Wu, Kun Yu, Wenbo An:
Applications of Quantum Embedding in Computer Vision. ICONIP (11) 2023: 165-177 - [c6]Juntao Zhang, Peng Cheng, Zehan Li, Hao Wu, Wenbo An, Jun Zhou:
QCA-Net: Quantum-based Channel Attention for Deep Neural Networks. IJCNN 2023: 1-7 - [c5]Juntao Zhang, Peng Cheng, Zehan Li, Hao Wu, Wenbo An, Jun Zhou:
A feature engineering method for machine learning inspired by quantum mechanics. IJCNN 2023: 1-8 - [c4]Juntao Zhang, Jun Zhou, Hailong Wang, Yang Lei, Peng Cheng, Zehan Li, Hao Wu, Kun Yu, Wenbo An:
QEA-Net: Quantum-Effects-based Attention Networks. PRCV (3) 2023: 109-120 - [i7]Yan Hu, Iqra Ameer, Xu Zuo, Xueqing Peng, Yujia Zhou, Zehan Li, Yiming Li, Jianfu Li, Xiaoqian Jiang, Hua Xu:
Zero-shot Clinical Entity Recognition using ChatGPT. CoRR abs/2303.16416 (2023) - [i6]Zehan Li, Yanzhao Zhang, Dingkun Long, Pengjun Xie:
Challenging Decoder helps in Masked Auto-Encoder Pre-training for Dense Passage Retrieval. CoRR abs/2305.13197 (2023) - [i5]Zehan Li, Xin Zhang, Yanzhao Zhang, Dingkun Long, Pengjun Xie, Meishan Zhang:
Towards General Text Embeddings with Multi-stage Contrastive Learning. CoRR abs/2308.03281 (2023) - [i4]Xin Zhang, Zehan Li, Yanzhao Zhang, Dingkun Long, Pengjun Xie, Meishan Zhang, Min Zhang:
Language Models are Universal Embedders. CoRR abs/2310.08232 (2023) - [i3]Yanzhao Zhang, Dingkun Long, Zehan Li, Pengjun Xie:
Text Representation Distillation via Information Bottleneck Principle. CoRR abs/2311.05472 (2023) - 2022
- [c3]Zehan Li, Jules Bergmann, James C. Fackler, Harold P. Lehmann:
Effects of Information Presentation Modalities on Antibiotic Reassessment Decision-Making in PICU: A Comparison Study. AMIA 2022 - [c2]Zehan Li, Haoran Miao, Keqi Deng, Gaofeng Cheng, Sanli Tian, Ta Li, Yonghong Yan:
Improving Streaming End-to-End ASR on Transformer-based Causal Models with Encoder States Revision Strategies. INTERSPEECH 2022: 1671-1675 - [c1]Sanli Tian, Keqi Deng, Zehan Li, Lingxuan Ye, Gaofeng Cheng, Ta Li, Yonghong Yan:
Knowledge Distillation For CTC-based Speech Recognition Via Consistent Acoustic Representation Learning. INTERSPEECH 2022: 2633-2637 - [i2]Zehan Li, Haoran Miao, Keqi Deng, Gaofeng Cheng, Sanli Tian, Ta Li, Yonghong Yan:
Improving Streaming End-to-End ASR on Transformer-based Causal Models with Encoder States Revision Strategies. CoRR abs/2207.02495 (2022) - [i1]Zehan Li, Nan Yang, Liang Wang, Furu Wei:
Learning Diverse Document Representations with Deep Query Interactions for Dense Retrieval. CoRR abs/2208.04232 (2022) - 2020
- [j1]Xinglong Geng, Zehan Li:
Decoding fNIRS based imagined movements associated with speed and force for a brain-computer interface. Int. J. Model. Identif. Control. 34(4): 359-365 (2020)
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