Henghui Zhu

Orcid: 0000-0002-4534-6975

According to our database1, Henghui Zhu authored at least 46 papers between 2014 and 2024.

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

Timeline

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Bibliography

2024
Propagation and Pitfalls: Reasoning-based Assessment of Knowledge Editing through Counterfactual Tasks.
CoRR, 2024

2023
UNITE: A Unified Benchmark for Text-to-SQL Evaluation.
CoRR, 2023

DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

STREET: A Multi-Task Structured Reasoning and Explanation Benchmark.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Benchmarking Diverse-Modal Entity Linking with Generative Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Importance of Synthesizing High-quality Data for Text-to-SQL Parsing.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Generate then Select: Open-ended Visual Question Answering Guided by World Knowledge.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases.
CoRR, 2022

QaNER: Prompting Question Answering Models for Few-shot Named Entity Recognition.
CoRR, 2022

Entailment Tree Explanations via Iterative Retrieval-Generation Reasoner.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Virtual Augmentation Supported Contrastive Learning of Sentence Representations.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Generation-Focused Table-Based Intermediate Pre-training for Free-Form Question Answering.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Learning parametric policies and transition probability models of markov decision processes from data.
Eur. J. Control, 2021

Supporting Clustering with Contrastive Learning.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Pairwise Supervised Contrastive Learning of Sentence Representations.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Entity-level Factual Consistency of Abstractive Text Summarization.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Zero-shot Generalization in Dialog State Tracking through Generative Question Answering.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Improving Factual Consistency of Abstractive Summarization via Question Answering.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Dual Reader-Parser on Hybrid Textual and Tabular Evidence for Open Domain Question Answering.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Learning from animals: How to Navigate Complex Terrains.
PLoS Comput. Biol., 2020

Unsupervised Domain Adaptation for Cross-lingual Text Labeling.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Enhancing Clinical BERT Embedding using a Biomedical Knowledge Base.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

An Ensemble Approach for Automatic Structuring of Radiology Reports.
Proceedings of the 3rd Clinical Natural Language Processing Workshop, 2020

Who Did They Respond to? Conversation Structure Modeling Using Masked Hierarchical Transformer.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Learning Policies for Markov Decision Processes From Data.
IEEE Trans. Autom. Control., 2019

Automatic Normalization of Anatomical Phrases in Radiology Reports Using Unsupervised Learning.
J. Digit. Imaging, 2019

Learning Parameterized Prescription Policies and Disease Progression Dynamics using Markov Decision Processes.
Proceedings of the 2019 American Control Conference, 2019

A Hebbian learning algorithm for training a neural circuit to perform context-dependent associations of stimuli.
Proceedings of the 2019 American Control Conference, 2019

Neural Token Representations and Negation and Speculation Scope Detection in Biomedical and General Domain Text.
Proceedings of the Tenth International Workshop on Health Text Mining and Information Analysis LOUHI@EMNLP 2019, 2019

2018
Neural circuits for learning context-dependent associations of stimuli.
Neural Networks, 2018

Clinical Concept Extraction with Contextual Word Embedding.
CoRR, 2018

2017
Cooperative Stabilization of a Class of LTI Plants With Distributed Observers.
IEEE Trans. Circuits Syst. I Regul. Pap., 2017

Sequential Dynamic Decision Making with Deep Neural Nets on a Test-Time Budget.
CoRR, 2017

Feature extraction in Q-learning using neural networks.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016
Convergence analysis of discrete-time consensus algorithm with both self and transmission delays.
J. Frankl. Inst., 2016

Synchronizing nonlinear complex networks via switching disconnected topology.
Autom., 2016

Learning parameterized policies for Markov decision processes through demonstrations.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015
Bridging the Gap Between Transmission Noise and Sampled Data for Robust Consensus of Multi-Agent Systems.
IEEE Trans. Circuits Syst. I Regul. Pap., 2015

Cooperative Design of Networked Observers for Stabilizing LTI Plants.
Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015

Robust consensus of a class of linear multi-agent systems via sampled-data control.
Proceedings of the 10th Asian Control Conference, 2015

2014
On the cooperative observability of a continuous-time linear system on an undirected network.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014


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