Henghui Zhu

发表

Convergence analysis of discrete-time consensus algorithm with both self and transmission delays

Fangfei Li, Yao Chen, Bo Hou, 2016, J. Frankl. Inst..

Cooperative Design of Networked Observers for Stabilizing LTI Plants

Maciej Ogorzalek, Jinhu Lu, Henghui Zhu, 2015, 2015 IEEE International Symposium on Circuits and Systems (ISCAS).

Neural circuits for learning context-dependent associations of stimuli

Ioannis Ch. Paschalidis, Michael E. Hasselmo, Henghui Zhu, 2018, Neural Networks.

Context-Driven Concept Annotation in Radiology Reports: Anatomical Phrase Labeling.

Amir Tahmasebi, Henghui Zhu, Ioannis Ch Paschalidis, 2019, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

On the cooperative observability of a continuous-time linear system on an undirected network

Jinhu Lu, Yao Chen, Zongli Lin, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Feature extraction in Q-learning using neural networks

Ioannis Ch. Paschalidis, Michael E. Hasselmo, Henghui Zhu, 2017, 2017 IEEE 56th Annual Conference on Decision and Control (CDC).

Clinical Concept Extraction with Contextual Word Embedding pdf

Ioannis Ch. Paschalidis, Henghui Zhu, Amir Tahmasebi, 2018, NIPS 2018.

Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction pdf

Ramesh Nallapati, Patrick Ng, Bing Xiang, 2020, ArXiv.

Bridging the Gap Between Transmission Noise and Sampled Data for Robust Consensus of Multi-Agent Systems

Jinhu Lu, Henghui Zhu, Kexin Liu, 2015, IEEE Transactions on Circuits and Systems I: Regular Papers.

Negation Scope Detection in Clinical Notes and Scientific Abstracts: A Feature-enriched LSTM-based Approach.

Amir Tahmasebi, Henghui Zhu, Peter Prinsen, 2019, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

Zero-shot Generalization in Dialog State Tracking through Generative Question Answering

Shang-Wen Li, Jin Cao, Wael Hamza, 2021, EACL.

Who did They Respond to? Conversation Structure Modeling using Masked Hierarchical Transformer

Ramesh Nallapati, Bing Xiang, Feng Nan, 2019, AAAI.

An Ensemble Approach for Automatic Structuring of Radiology Reports

Morteza Pourreza Shahri, Amir Tahmasebi, Henghui Zhu, 2020, ClinicalNLP@EMNLP.

Neural Token Representations and Negation and Speculation Scope Detection in Biomedical and General Domain Text

Peter Szolovits, Amir Tahmasebi, Elena Sergeeva, 2019, EMNLP.

Automatic Normalization of Anatomical Phrases in Radiology Reports Using Unsupervised Learning

Amir M. Tahmasebi, Prescott Klassen, Paul Chang, 2018, Journal of Digital Imaging.

Classification of Pulmonary Nodular Findings based on Characterization of Change using Radiology Reports.

Amir Tahmasebi, Jianbo Yuan, Henghui Zhu, 2019, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.