Hanjie Chen
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Bibliography
2025
2024
ACM Trans. Intell. Syst. Technol., April, 2024
IEEE Internet Things J., April, 2024
PulseID: Multi-scale photoplethysmographic identification using a deep convolutional neural network.
Biomed. Signal Process. Control., February, 2024
MiCEval: Unveiling Multimodal Chain of Thought's Quality via Image Description and Reasoning Steps.
CoRR, 2024
From Babbling to Fluency: Evaluating the Evolution of Language Models in Terms of Human Language Acquisition.
CoRR, 2024
SPORTU: A Comprehensive Sports Understanding Benchmark for Multimodal Large Language Models.
CoRR, 2024
CoRR, 2024
Will the Real Linda Please Stand up...to Large Language Models? Examining the Representativeness Heuristic in LLMs.
CoRR, 2024
Benchmarking Large Language Models on Answering and Explaining Challenging Medical Questions.
CoRR, 2024
An improved deep regression model with state space reconstruction for continuous blood pressure estimation.
Comput. Electr. Eng., 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Explaining Prediction Uncertainty of Pre-trained Language Models by Detecting Uncertain Words in Inputs.
CoRR, 2022
Prediction and classification of ventricular arrhythmia based on phase-space reconstruction and fuzzy c-means clustering.
Comput. Biol. Medicine, 2022
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Identifying the Source of Vulnerability in Explanation Discrepancy: A Case Study in Neural Text Classification.
Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2022
Proceedings of the Third Workshop on Insights from Negative Results in NLP, 2022
Adversarial Training for Improving Model Robustness? Look at Both Prediction and Interpretation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
A new algorithm to reduce T-wave over-sensing based on phase space reconstruction in S-ICD system.
Comput. Biol. Medicine, 2021
Biomed. Signal Process. Control., 2021
Explaining Neural Network Predictions on Sentence Pairs via Learning Word-Group Masks.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2021
2020
An Automatic R and T Peak Detection Method Based on the Combination of Hierarchical Clustering and Discrete Wavelet Transform.
IEEE J. Biomed. Health Informatics, 2020
Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Generating Hierarchical Explanations on Text Classification via Feature Interaction Detection.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
2019
Improving the Interpretability of Neural Sentiment Classifiers via Data Augmentation.
CoRR, 2019
Proceedings of the 2019 IEEE Biomedical Circuits and Systems Conference, 2019
2018
A Two-Dimensional Constellation Design Method for Visible Light Communications With Signal-Dependent Shot Noise.
IEEE Commun. Lett., 2018
Proceedings of the 11th International Symposium on Communication Systems, 2018
2017
Proceedings of the 13th International Wireless Communications and Mobile Computing Conference, 2017
2016
Proceedings of the 2016 IEEE International Conference on Communication Systems, 2016