Henghui Zhu

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

Collaborative distances:

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

2024

You Only Read Once (YORO): Learning to Internalize Database Knowledge for Text-to-SQL.

Hideo Kobayashi, Wuwei Lan, Peng Shi, Shuaichen Chang, Jiang Guo, Henghui Zhu, Zhiguo Wang, Patrick Ng

CoRR, 2024

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

Wenyue Hua, Jiang Guo, Mingwen Dong, Henghui Zhu, Patrick Ng, Zhiguo Wang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

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

Wuwei Lan, Zhiguo Wang, Anuj Chauhan, Henghui Zhu, Alexander Hanbo Li, Jiang Guo, Sheng Zhang, Chung-Wei Hang, Joseph Lilien, Yiqun Hu, Lin Pan, Mingwen Dong, Jun Wang, Jiarong Jiang, Stephen Ash, Vittorio Castelli, Patrick Ng, Bing Xiang

CoRR, 2023

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

Donghan Yu, Sheng Zhang, Patrick Ng, Henghui Zhu, Alexander Hanbo Li, Jun Wang, Yiqun Hu, William Yang Wang, Zhiguo Wang, Bing Xiang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

STREET: A Multi-Task Structured Reasoning and Explanation Benchmark.

Danilo Neves Ribeiro, Shen Wang, Xiaofei Ma, Henghui Zhu, Rui Dong, Deguang Kong, Juliette Burger, Anjelica Ramos, Zhiheng Huang, William Yang Wang, George Karypis, Bing Xiang, Dan Roth

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness.

Shuaichen Chang, Jun Wang, Mingwen Dong, Lin Pan, Henghui Zhu, Alexander Hanbo Li, Wuwei Lan, Sheng Zhang, Jiarong Jiang, Joseph Lilien, Steve Ash, William Yang Wang, Zhiguo Wang, Vittorio Castelli, Patrick Ng, Bing Xiang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Benchmarking Diverse-Modal Entity Linking with Generative Models.

Sijia Wang, Alexander Hanbo Li, Henghui Zhu, Sheng Zhang, Pramuditha Perera, Chung-Wei Hang, Jie Ma, William Yang Wang, Zhiguo Wang, Vittorio Castelli, Bing Xiang, Patrick Ng

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Importance of Synthesizing High-quality Data for Text-to-SQL Parsing.

Yiqun Hu, Yiyun Zhao, Jiarong Jiang, Wuwei Lan, Henghui Zhu, Anuj Chauhan, Alexander Hanbo Li, Lin Pan, Jun Wang, Chung-Wei Hang, Sheng Zhang, Jiang Guo, Mingwen Dong, Joseph Lilien, Patrick Ng, Zhiguo Wang, Vittorio Castelli, Bing Xiang

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.

Xingyu Fu, Sheng Zhang, Gukyeong Kwon, Pramuditha Perera, Henghui Zhu, Yuhao Zhang, Alexander Hanbo Li, William Yang Wang, Zhiguo Wang, Vittorio Castelli, Patrick Ng, Dan Roth, Bing Xiang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

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

Andy T. Liu, Wei Xiao, Henghui Zhu, Dejiao Zhang, Shang-Wen Li, Andrew O. Arnold

CoRR, 2022

Entailment Tree Explanations via Iterative Retrieval-Generation Reasoner.

Danilo Neves Ribeiro, Shen Wang, Xiaofei Ma, Rui Dong, Xiaokai Wei, Henghui Zhu, Xinchi Chen, Peng Xu, Zhiheng Huang, Andrew O. Arnold, Dan Roth

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora.

Xisen Jin, Dejiao Zhang, Henghui Zhu, Wei Xiao, Shang-Wen Li, Xiaokai Wei, Andrew O. Arnold, Xiang Ren

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.

Dejiao Zhang, Wei Xiao, Henghui Zhu, Xiaofei Ma, Andrew O. Arnold

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.

Peng Shi, Patrick Ng, Feng Nan, Henghui Zhu, Jun Wang, Jiarong Jiang, Alexander Hanbo Li, Rishav Chakravarti, Donald Weidner, Bing Xiang, Zhiguo Wang

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.

Tingting Xu, Henghui Zhu, Ioannis Ch. Paschalidis

Eur. J. Control, 2021

Supporting Clustering with Contrastive Learning.

Dejiao Zhang, Feng Nan, Xiaokai Wei, Shang-Wen Li, Henghui Zhu, Kathleen R. McKeown, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang

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.

Dejiao Zhang, Shang-Wen Li, Wei Xiao, Henghui Zhu, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Entity-level Factual Consistency of Abstractive Text Summarization.

Feng Nan, Ramesh Nallapati, Zhiguo Wang, Cícero Nogueira dos Santos, Henghui Zhu, Dejiao Zhang, Kathy McKeown, Bing Xiang

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.

Shuyang Li, Jin Cao, Mukund Sridhar, Henghui Zhu, Shang-Wen Li, Wael Hamza, Julian J. McAuley

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.

Feng Nan, Cícero Nogueira dos Santos, Henghui Zhu, Patrick Ng, Kathleen R. McKeown, Ramesh Nallapati, Dejiao Zhang, Zhiguo Wang, Andrew O. Arnold, Bing Xiang

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.

Alexander Hanbo Li, Patrick Ng, Peng Xu, Henghui Zhu, Zhiguo Wang, Bing Xiang

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.

Yifan Gao, Henghui Zhu, Patrick Ng, Cícero Nogueira dos Santos, Zhiguo Wang, Feng Nan, Dejiao Zhang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang

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.

Peng Shi, Patrick Ng, Zhiguo Wang, Henghui Zhu, Alexander Hanbo Li, Jun Wang, Cícero Nogueira dos Santos, Bing Xiang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Learning from animals: How to Navigate Complex Terrains.

Henghui Zhu, Hao Liu, Armin Ataei, Yonatan Munk, Thomas Daniel, Ioannis Ch. Paschalidis

PLoS Comput. Biol., 2020

Unsupervised Domain Adaptation for Cross-lingual Text Labeling.

Dejiao Zhang, Ramesh Nallapati, Henghui Zhu, Feng Nan, Cícero Nogueira dos Santos, Kathleen R. McKeown, Bing Xiang

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.

Siamak Shakeri, Cícero Nogueira dos Santos, Henghui Zhu, Patrick Ng, Feng Nan, Zhiguo Wang, Ramesh Nallapati, Bing Xiang

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

Enhancing Clinical BERT Embedding using a Biomedical Knowledge Base.

Boran Hao, Henghui Zhu, Ioannis Ch. Paschalidis

Proceedings of the 28th International Conference on Computational Linguistics, 2020

An Ensemble Approach for Automatic Structuring of Radiology Reports.

Morteza Pourreza Shahri, Amir Tahmasebi, Bingyang Ye, Henghui Zhu, Javed Aslam, Timothy Ferris

Proceedings of the 3rd Clinical Natural Language Processing Workshop, 2020

Who Did They Respond to? Conversation Structure Modeling Using Masked Hierarchical Transformer.

Henghui Zhu, Feng Nan, Zhiguo Wang, Ramesh Nallapati, Bing Xiang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Learning Policies for Markov Decision Processes From Data.

Manjesh Kumar Hanawal, Hao Liu, Henghui Zhu, Ioannis Ch. Paschalidis

IEEE Trans. Autom. Control., 2019

Automatic Normalization of Anatomical Phrases in Radiology Reports Using Unsupervised Learning.

Amir M. Tahmasebi, Henghui Zhu, Gabriel Mankovich, Peter Prinsen, Prescott Klassen, Sam Pilato, Rob van Ommering, Pritesh Patel, Martin L. Gunn, Paul Chang

J. Digit. Imaging, 2019

Learning Parameterized Prescription Policies and Disease Progression Dynamics using Markov Decision Processes.

Henghui Zhu, Tingting Xu, Ioannis Ch. Paschalidis

Proceedings of the 2019 American Control Conference, 2019

A Hebbian learning algorithm for training a neural circuit to perform context-dependent associations of stimuli.

Henghui Zhu, Ioannis Ch. Paschalidis, Michael E. Hasselmo

Proceedings of the 2019 American Control Conference, 2019

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

Elena Sergeeva, Henghui Zhu, Amir Tahmasebi, Peter Szolovits

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.

Henghui Zhu, Ioannis Ch. Paschalidis, Michael E. Hasselmo

Neural Networks, 2018

Clinical Concept Extraction with Contextual Word Embedding.

Henghui Zhu, Ioannis Ch. Paschalidis, Amir Tahmasebi

CoRR, 2018

2017

Cooperative Stabilization of a Class of LTI Plants With Distributed Observers.

Kexin Liu, Henghui Zhu, Jinhu Lu

IEEE Trans. Circuits Syst. I Regul. Pap., 2017

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

Henghui Zhu, Feng Nan, Ioannis Ch. Paschalidis, Venkatesh Saligrama

CoRR, 2017

Feature extraction in Q-learning using neural networks.

Henghui Zhu, Ioannis Ch. Paschalidis, Michael E. Hasselmo

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.

Yao Chen, Fangfei Li, Bo Hou, Shaolin Tan, Henghui Zhu

J. Frankl. Inst., 2016

Synchronizing nonlinear complex networks via switching disconnected topology.

Yao Chen, Wenwu Yu, Shaolin Tan, Henghui Zhu

Autom., 2016

Learning parameterized policies for Markov decision processes through demonstrations.

Manjesh Kumar Hanawal, Hao Liu, Henghui Zhu, Ioannis Ch. Paschalidis

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.

Kexin Liu, Henghui Zhu, Jinhu Lu

IEEE Trans. Circuits Syst. I Regul. Pap., 2015

Cooperative Design of Networked Observers for Stabilizing LTI Plants.

Kexin Liu, Henghui Zhu, Jinhu Lu, Maciej J. Ogorzalek

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.

Kexin Liu, Henghui Zhu, Jinhu Lu

Proceedings of the 10th Asian Control Conference, 2015

2014

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

Henghui Zhu, Kexin Liu, Jinhu Lu, Zongli Lin, Yao Chen

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014