Hanjie Chen
This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.
Bibliography
2026
CoRR, May, 2026
When Embedding-Based Defenses Fail: Rethinking Safety in LLM-Based Multi-Agent Systems.
CoRR, May, 2026
CoRR, April, 2026
CoRR, March, 2026
CoRR, March, 2026
Beyond Explainable AI (XAI): An Overdue Paradigm Shift and Post-XAI Research Directions.
CoRR, February, 2026
CoRR, February, 2026
PDSNet: Patient-Disease Dual Spatial Similarity Neural Networks for Predicting Heart Failure Risk Using Short Electronic Health Records.
IEEE J. Biomed. Health Informatics, January, 2026
Multi-Wavelength Photoplethysmographic Assessment of Fingertip Vasculature for Auto-Calibrated Cuffless Blood Pressure Monitoring.
IEEE J. Biomed. Health Informatics, January, 2026
Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026
2025
Findings of the BlackboxNLP 2025 Shared Task: Localizing Circuits and Causal Variables in Language Models.
CoRR, November, 2025
DeepSport: A Multimodal Large Language Model for Comprehensive Sports Video Reasoning via Agentic Reinforcement Learning.
CoRR, November, 2025
CoRR, November, 2025
CoRR, July, 2025
CoRR, July, 2025
CoRR, March, 2025
Personality Structured Interview for Large Language Model Simulation in Personality Research.
CoRR, February, 2025
Trans. Mach. Learn. Res., 2025
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025
MiCEval: Unveiling Multimodal Chain of Thought's Quality via Image Description and Reasoning Steps.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025
Benchmarking Large Language Models on Answering and Explaining Challenging Medical Questions.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025
Proceedings of the Forty-second International Conference on Machine Learning, 2025
SPORTU: A Comprehensive Sports Understanding Benchmark for Multimodal Large Language Models.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
Proceedings of the Findings of the Association for Computational Linguistics, 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
From Babbling to Fluency: Evaluating the Evolution of Language Models in Terms of Human Language Acquisition.
CoRR, 2024
CoRR, 2024
Will the Real Linda Please Stand up...to Large Language Models? Examining the Representativeness Heuristic in LLMs.
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