On the cooperative observability of a continuous-time linear system on an undirected network. - Henghui Zhu; Kexin Liu; Jinhu Lu; Zongli Lin; Yao Chen 003 (IJCNN, 2014)

Robust consensus of a class of linear multi-agent systems via sampled-data control. - Kexin Liu; Henghui Zhu; Jinhu Lu (ASCC, 2015)

Cooperative Design of Networked Observers for Stabilizing LTI Plants. - Kexin Liu; Henghui Zhu; Jinhu Lu; Maciej J. Ogorzalek (ISCAS, 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)

Learning parameterized policies for Markov decision processes through demonstrations. - Manjesh Kumar Hanawal; Hao Liu 023; Henghui Zhu; Ioannis Ch. Paschalidis (CDC, 2016)

Synchronizing nonlinear complex networks via switching disconnected topology. - Yao Chen 003; Wenwu Yu; Shaolin Tan; Henghui Zhu (Autom., 2016)

Convergence analysis of discrete-time consensus algorithm with both self and transmission delays. - Yao Chen 003; Fangfei Li; Bo Hou; Shaolin Tan; Henghui Zhu (J. Frankl. Inst., 2016)

Feature extraction in Q-learning using neural networks. - Henghui Zhu; Ioannis Ch. Paschalidis; Michael E. Hasselmo (CDC, 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)

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)

Clinical Concept Extraction with Contextual Word Embedding. - Henghui Zhu; Ioannis Ch. Paschalidis; Amir Tahmasebi (CoRR, 2018)

Neural circuits for learning context-dependent associations of stimuli. - Henghui Zhu; Ioannis Ch. Paschalidis; Michael E. Hasselmo (Neural Networks, 2018)

Neural Token Representations and Negation and Speculation Scope Detection in Biomedical and General Domain Text. - Elena Sergeeva; Henghui Zhu; Amir Tahmasebi; Peter Szolovits (LOUHI@EMNLP, 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 (ACC, 2019)

Learning Parameterized Prescription Policies and Disease Progression Dynamics using Markov Decision Processes. - Henghui Zhu; Tingting Xu; Ioannis Ch. Paschalidis (ACC, 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 Policies for Markov Decision Processes From Data. - Manjesh Kumar Hanawal; Hao Liu 023; Henghui Zhu; Ioannis Ch. Paschalidis (IEEE Trans. Autom. Control., 2019)

Who Did They Respond to? Conversation Structure Modeling Using Masked Hierarchical Transformer. - Henghui Zhu; Feng Nan; Zhiguo Wang; Ramesh Nallapati; Bing Xiang (AAAI, 2020)

An Ensemble Approach for Automatic Structuring of Radiology Reports. - Morteza Pourreza Shahri; Amir Tahmasebi; Bingyang Ye; Henghui Zhu; Javed Aslam; Timothy Ferris (ClinicalNLP@EMNLP, 2020)

Enhancing Clinical BERT Embedding using a Biomedical Knowledge Base. - Boran Hao; Henghui Zhu; Ioannis Ch. Paschalidis (COLING, 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 (EMNLP (1), 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 (EMNLP (Findings), 2020)

Learning from animals: How to Navigate Complex Terrains. - Henghui Zhu; Hao Liu 023; Armin Ataei; Yonatan Munk; Thomas Daniel; Ioannis Ch. Paschalidis (PLoS Comput. Biol., 2020)

Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training. - Peng Shi 010; Patrick Ng; Zhiguo Wang; Henghui Zhu; Alexander Hanbo Li; Jun Wang 122; Cícero Nogueira dos Santos; Bing Xiang (AAAI, 2021)

Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction. - Yifan Gao 001; Henghui Zhu; Patrick Ng; Cícero Nogueira dos Santos; Zhiguo Wang; Feng Nan; Dejiao Zhang; Ramesh Nallapati; Andrew O. Arnold; Bing Xiang (ACL/IJCNLP (1), 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 (ACL/IJCNLP (1), 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 (ACL/IJCNLP (1), 2021)

Zero-shot Generalization in Dialog State Tracking through Generative Question Answering. - Shuyang Li; Jin Cao 003; Mukund Sridhar; Henghui Zhu; Shang-Wen Li 001; Wael Hamza; Julian J. McAuley (EACL, 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 (EACL, 2021)

Pairwise Supervised Contrastive Learning of Sentence Representations. - Dejiao Zhang; Shang-Wen Li 001; Wei Xiao 001; Henghui Zhu; Ramesh Nallapati; Andrew O. Arnold; Bing Xiang (EMNLP (1), 2021)

Supporting Clustering with Contrastive Learning. - Dejiao Zhang; Feng Nan; Xiaokai Wei; Shang-Wen Li 001; Henghui Zhu; Kathleen R. McKeown; Ramesh Nallapati; Andrew O. Arnold; Bing Xiang (NAACL-HLT, 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)

Generation-Focused Table-Based Intermediate Pre-training for Free-Form Question Answering. - Peng Shi 010; Patrick Ng; Feng Nan; Henghui Zhu; Jun Wang 122; Jiarong Jiang; Alexander Hanbo Li; Rishav Chakravarti; Donald Weidner; Bing Xiang; Zhiguo Wang (AAAI, 2022)

Virtual Augmentation Supported Contrastive Learning of Sentence Representations. - Dejiao Zhang; Wei Xiao 001; Henghui Zhu; Xiaofei Ma 001; Andrew O. Arnold (ACL (Findings), 2022)

Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora. - Xisen Jin; Dejiao Zhang; Henghui Zhu; Wei Xiao 001; Shang-Wen Li 001; Xiaokai Wei; Andrew O. Arnold; Xiang Ren 001 (NAACL-HLT, 2022)

Entailment Tree Explanations via Iterative Retrieval-Generation Reasoner. - Danilo Neves Ribeiro; Shen Wang 005; Xiaofei Ma 001; Rui Dong; Xiaokai Wei; Henghui Zhu; Xinchi Chen; Peng Xu; Zhiheng Huang; Andrew O. Arnold; Dan Roth 001 (NAACL-HLT (Findings), 2022)

QaNER: Prompting Question Answering Models for Few-shot Named Entity Recognition. - Andy T. Liu; Wei Xiao 001; Henghui Zhu; Dejiao Zhang; Shang-Wen Li 001; Andrew O. Arnold (CoRR, 2022)

Generate then Select: Open-ended Visual Question Answering Guided by World Knowledge. - Xingyu Fu; Sheng Zhang 029; Gukyeong Kwon; Pramuditha Perera; Henghui Zhu; Yuhao Zhang 004; Alexander Hanbo Li; William Yang Wang; Zhiguo Wang; Vittorio Castelli; Patrick Ng; Dan Roth 001; et al. (ACL (Findings), 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 003; Jun Wang 122; Chung-Wei Hang; Sheng Zhang 029; Jiang Guo; et al. (ACL (Findings), 2023)

Benchmarking Diverse-Modal Entity Linking with Generative Models. - Sijia Wang; Alexander Hanbo Li; Henghui Zhu; Sheng Zhang 029; Pramuditha Perera; Chung-Wei Hang; Jie Ma 005; William Yang Wang; Zhiguo Wang; Vittorio Castelli; Bing Xiang; Patrick Ng (ACL (Findings), 2023)

Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness. - Shuaichen Chang; Jun Wang 122; Mingwen Dong; Lin Pan 003; Henghui Zhu; Alexander Hanbo Li; Wuwei Lan; Sheng Zhang 029; Jiarong Jiang; Joseph Lilien; Steve Ash; William Yang Wang; et al. (ICLR, 2023)

STREET: A Multi-Task Structured Reasoning and Explanation Benchmark. - Danilo Neves Ribeiro; Shen Wang 005; Xiaofei Ma 001; Henghui Zhu; Rui Dong; Deguang Kong; Juliette Burger; Anjelica Ramos; Zhiheng Huang; William Yang Wang; George Karypis; Bing Xiang; et al. (ICLR, 2023)

DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases. - Donghan Yu; Sheng Zhang 029; Patrick Ng; Henghui Zhu; Alexander Hanbo Li; Jun Wang 122; Yiqun Hu; William Yang Wang; Zhiguo Wang; Bing Xiang (ICLR, 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 029; Chung-Wei Hang; Joseph Lilien; Yiqun Hu; Lin Pan 003; Mingwen Dong; et al. (CoRR, 2023)

Propagation and Pitfalls: Reasoning-based Assessment of Knowledge Editing through Counterfactual Tasks. - Wenyue Hua; Jiang Guo; Mingwen Dong; Henghui Zhu; Patrick Ng; Zhiguo Wang (ACL (Findings), 2024)

PRACTIQ: A Practical Conversational Text-to-SQL dataset with Ambiguous and Unanswerable Queries. - Mingwen Dong; Nischal Ashok Kumar; Yiqun Hu; Anuj Chauhan; Chung-Wei Hang; Shuaichen Chang; Lin Pan 003; Wuwei Lan; Henghui Zhu; Jiarong Jiang; Patrick Ng; Zhiguo Wang (NAACL (Long Papers), 2025)

You Only Read Once (YORO): Learning to Internalize Database Knowledge for Text-to-SQL. - Hideo Kobayashi; Wuwei Lan; Peng Shi 010; Shuaichen Chang; Jiang Guo; Henghui Zhu; Zhiguo Wang; Patrick Ng (NAACL (Long Papers), 2025)

Towards Better Understanding Table Instruction Tuning: Decoupling the Effects from Data versus Models. - Naihao Deng; Sheng Zhang 029; Henghui Zhu; Shuaichen Chang; Jiani Zhang 003; Alexander Hanbo Li; Chung-Wei Hang; Hideo Kobayashi; Yiqun Hu; Patrick Ng (CoRR, 2025)