Hanjie Chen

According to our database, Hanjie Chen authored at least 28 papers between 2016 and 2024.

Collaborative distances:

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

2024

Fractional Optimal Control for Malware Propagation in Internet of Underwater Things.

Guiyun Liu, Zhihao Tan, Zhongwei Liang, Hanjie Chen, Xiaojing Zhong

IEEE Internet Things J., April, 2024

PulseID: Multi-scale photoplethysmographic identification using a deep convolutional neural network.

Riling Wei, Xiaogang Xu, Yue Li, Yiyi Zhang, Jun Wang, Hanjie Chen

Biomed. Signal Process. Control., February, 2024

RORA: Robust Free-Text Rationale Evaluation.

Zhengping Jiang, Yining Lu, Hanjie Chen, Daniel Khashabi, Benjamin Van Durme, Anqi Liu

CoRR, 2024

Benchmarking Large Language Models on Answering and Explaining Challenging Medical Questions.

Hanjie Chen, Zhouxiang Fang, Yash Singla, Mark Dredze

CoRR, 2024

2023

Explainability for Large Language Models: A Survey.

Haiyan Zhao, Hanjie Chen, Fan Yang, Ninghao Liu, Huiqi Deng, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Mengnan Du

CoRR, 2023

REV: Information-Theoretic Evaluation of Free-Text Rationales.

Hanjie Chen, Faeze Brahman, Xiang Ren, Yangfeng Ji, Yejin Choi, Swabha Swayamdipta

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Improving Interpretability via Explicit Word Interaction Graph Layer.

Arshdeep Sekhon, Hanjie Chen, Aman Shrivastava, Zhe Wang, Yangfeng Ji, Yanjun Qi

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

KNIFE: Knowledge Distillation with Free-Text Rationales.

Aaron Chan, Zhiyuan Zeng, Wyatt Lake, Brihi Joshi, Hanjie Chen, Xiang Ren

CoRR, 2022

Self-augmented Data Selection for Few-shot Dialogue Generation.

Wanyu Du, Hanjie Chen, Yangfeng Ji

CoRR, 2022

Explaining Prediction Uncertainty of Pre-trained Language Models by Detecting Uncertain Words in Inputs.

Hanjie Chen, Yangfeng Ji

CoRR, 2022

Prediction and classification of ventricular arrhythmia based on phase-space reconstruction and fuzzy c-means clustering.

Hanjie Chen, Saptarshi Das, John M. Morgan, Koushik Maharatna

Comput. Biol. Medicine, 2022

Self-training with Two-phase Self-augmentation for Few-shot Dialogue Generation.

Wanyu Du, Hanjie Chen, Yangfeng Ji

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.

Ruixuan Tang, Hanjie Chen, Yangfeng Ji

Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2022

Pathologies of Pre-trained Language Models in Few-shot Fine-tuning.

Hanjie Chen, Guoqing Zheng, Ahmed Hassan Awadallah, Yangfeng Ji

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.

Hanjie Chen, Yangfeng Ji

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.

Hanjie Chen, Benedict M. Wiles, Paul R. Roberts, John M. Morgan, Koushik Maharatna

Comput. Biol. Medicine, 2021

An effective PSR-based arrhythmia classifier using self-similarity analysis.

Hanjie Chen, Saptarshi Das, John M. Morgan, Koushik Maharatna

Biomed. Signal Process. Control., 2021

Explaining Neural Network Predictions on Sentence Pairs via Learning Word-Group Masks.

Hanjie Chen, Song Feng, Jatin Ganhotra, Hui Wan, R. Chulaka Gunasekara, Sachindra Joshi, Yangfeng Ji

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing.

Sanchit Sinha, Hanjie Chen, Arshdeep Sekhon, Yangfeng Ji, Yanjun Qi

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.

Hanjie Chen, Koushik Maharatna

IEEE J. Biomed. Health Informatics, 2020

Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers.

Hanjie Chen, Yangfeng Ji

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Generating Hierarchical Explanations on Text Classification via Feature Interaction Detection.

Hanjie Chen, Guangtao Zheng, Yangfeng Ji

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Improving the Interpretability of Neural Sentiment Classifiers via Data Augmentation.

Hanjie Chen, Yangfeng Ji

CoRR, 2019

An Automatic R-peak Detection Method Based on Hierarchical Clustering.

Hanjie Chen, Koushik Maharatna

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.

Hanjie Chen, Zhengyuan Xu

IEEE Commun. Lett., 2018

The Near-field Radiation Pattern of an OLED Panel and Its Application in Detection.

Rui Xu, Hanjie Chen, Zhengyuan Xu

Proceedings of the 11th International Symposium on Communication Systems, 2018

2017

Volterra-based nonlinear equalization for nonlinearity mitigation in organic VLC.

Xiangyu Li, Hanjie Chen, Shang-Bin Li, Qian Gao, Chen Gong, Zhengyuan Xu

Proceedings of the 13th International Wireless Communications and Mobile Computing Conference, 2017

2016

A 1.9Mbps OFDM-based all-organic visible light communication system.

Hanjie Chen, Shang-Bin Li, Boyang Huang, Zhengyuan Xu, Wenhai Li, Guifang Dong, Jing Xie

Proceedings of the 2016 IEEE International Conference on Communication Systems, 2016