Zehan Li

According to our database1, Zehan Li authored at least 26 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Factorized and progressive knowledge distillation for CTC-based ASR models.
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.
J. Biomed. Informatics, 2024

RefAI: a GPT-powered retrieval-augmented generative tool for biomedical literature recommendation and summarization.
J. Am. Medical Informatics Assoc., 2024

Improving large language models for clinical named entity recognition via prompt engineering.
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.
CoRR, 2024

Applying and Evaluating Large Language Models in Mental Health Care: A Scoping Review of Human-Assessed Generative Tasks.
CoRR, 2024

Advancing GenAI Assisted Programming-A Comparative Study on Prompt Efficiency and Code Quality Between GPT-4 and GLM-4.
CoRR, 2024

Large Language Models in Mental Health Care: a Scoping Review.
CoRR, 2024

ProCQA: A Large-scale Community-based Programming Question Answering Dataset for Code Search.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

AlignRE: An Encoding and Semantic Alignment Approach for Zero-Shot Relation Extraction.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Language Models are Universal Embedders.
CoRR, 2023

Towards General Text Embeddings with Multi-stage Contrastive Learning.
CoRR, 2023

Challenging Decoder helps in Masked Auto-Encoder Pre-training for Dense Passage Retrieval.
CoRR, 2023

Zero-shot Clinical Entity Recognition using ChatGPT.
CoRR, 2023

QEA-Net: Quantum-Effects-based Attention Networks.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

A feature engineering method for machine learning inspired by quantum mechanics.
Proceedings of the International Joint Conference on Neural Networks, 2023

QCA-Net: Quantum-based Channel Attention for Deep Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2023

Applications of Quantum Embedding in Computer Vision.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Suicide Tendency Prediction from Psychiatric Notes Using Transformer Models.
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

An Application of Quantum Mechanics to Attention Methods in Computer Vision.
Proceedings of the IEEE International Conference on Acoustics, 2023

Text Representation Distillation via Information Bottleneck Principle.
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.
CoRR, 2022

Knowledge Distillation For CTC-based Speech Recognition Via Consistent Acoustic Representation Learning.
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.
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.
Proceedings of the AMIA 2022, 2022

2020
Decoding fNIRS based imagined movements associated with speed and force for a brain-computer interface.
Int. J. Model. Identif. Control., 2020


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