Image Super-Resolution Via Analysis Sparse Prior. - Qiang Ning; Kan Chen; Li Yi; Chuchu Fan; Yao Lu 006; Jiangtao Wen (IEEE Signal Process. Lett., 2013)

Spectral estimation for magnetic resonance spectroscopic imaging with spatial sparsity constraints. - Qiang Ning; Chao Ma 018; Zhi-Pei Liang (ISBI, 2015)

A Structured Learning Approach to Temporal Relation Extraction. - Qiang Ning; Zhili Feng; Dan Roth 001 (EMNLP, 2017)

Spectral Quantification for High-Resolution MR Spectroscopic Imaging With Spatiospectral Constraints. - Qiang Ning; Chao Ma 018; Fan Lam; Zhi-Pei Liang (IEEE Trans. Biomed. Eng., 2017)

A Multi-Axis Annotation Scheme for Event Temporal Relations. - Qiang Ning; Hao Wu 034; Dan Roth 001 (ACL (1), 2018)

Joint Reasoning for Temporal and Causal Relations. - Qiang Ning; Zhili Feng; Hao Wu 034; Dan Roth 001 (ACL (1), 2018)

CogCompTime: A Tool for Understanding Time in Natural Language. - Qiang Ning; Ben Zhou; Zhili Feng; Haoruo Peng; Dan Roth 001 (EMNLP (Demonstration), 2018)

CogCompNLP: Your Swiss Army Knife for NLP. - Daniel Khashabi; Mark Sammons; Ben Zhou; Tom Redman; Christos Christodoulopoulos 001; Vivek Srikumar; Nicholas Rizzolo; Lev-Arie Ratinov; Guanheng Luo; Quang Do; Chen-Tse Tsai; Subhro Roy; et al. (LREC, 2018)

Improving Temporal Relation Extraction with a Globally Acquired Statistical Resource. - Qiang Ning; Hao Wu 034; Haoruo Peng; Dan Roth 001 (NAACL-HLT, 2018)

Exploiting Partially Annotated Data in Temporal Relation Extraction. - Qiang Ning; Zhongzhi Yu; Chuchu Fan; Dan Roth 001 (*SEM@NAACL-HLT, 2018)

KnowSemLM: A Knowledge Infused Semantic Language Model. - Haoruo Peng; Qiang Ning; Dan Roth 001 (CoNLL, 2019)

Joint Event and Temporal Relation Extraction with Shared Representations and Structured Prediction. - Rujun Han; Qiang Ning; Nanyun Peng 001 (EMNLP/IJCNLP (1), 2019)

An Improved Neural Baseline for Temporal Relation Extraction. - Qiang Ning; Sanjay Subramanian; Dan Roth 001 (EMNLP/IJCNLP (1), 2019)

"Going on a vacation" takes longer than "Going for a walk": A Study of Temporal Commonsense Understanding. - Ben Zhou; Daniel Khashabi; Qiang Ning; Dan Roth 001 (EMNLP/IJCNLP (1), 2019)

An information theoretic model for summarization, and some basic results. - Eric Graves 001; Qiang Ning; Prithwish Basu (ISIT, 2019)

Partial Or Complete, That's The Question. - Qiang Ning; Hangfeng He 001; Chuchu Fan; Dan Roth 001 (NAACL-HLT (1), 2019)

CogCompTime: A Tool for Understanding Time in Natural Language Text. - Qiang Ning; Ben Zhou; Zhili Feng; Haoruo Peng; Dan Roth 001 (CoRR, 2019)

Incidental Supervision from Question-Answering Signals. - Hangfeng He 001; Qiang Ning; Dan Roth 001 (CoRR, 2019)

Understanding time in natural language text - Qiang Ning (2019)

QuASE: Question-Answer Driven Sentence Encoding. - Hangfeng He 001; Qiang Ning; Dan Roth 001 (ACL, 2020)

Temporal Common Sense Acquisition with Minimal Supervision. - Ben Zhou; Qiang Ning; Daniel Khashabi; Dan Roth 001 (ACL, 2020)

Evaluating Models' Local Decision Boundaries via Contrast Sets. - Matt Gardner 001; Yoav Artzi; Victoria Basmova; Jonathan Berant; Ben Bogin; Sihao Chen; Pradeep Dasigi; Dheeru Dua; Yanai Elazar; Ananth Gottumukkala; Nitish Gupta; Hannaneh Hajishirzi; et al. (EMNLP (Findings), 2020)

Easy, Reproducible and Quality-Controlled Data Collection with CROWDAQ. - Qiang Ning; Hao Wu 034; Pradeep Dasigi; Dheeru Dua; Matt Gardner 001; Robert L. Logan IV; Ana Marasovic; Zhen Nie (EMNLP (Demos), 2020)

TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions. - Qiang Ning; Hao Wu 034; Rujun Han; Nanyun Peng 001; Matt Gardner 001; Dan Roth 001 (EMNLP (1), 2020)

Learnability with Indirect Supervision Signals. - Kaifu Wang; Qiang Ning; Dan Roth 001 (NeurIPS, 2020)

Evaluating NLP Models via Contrast Sets. - Matt Gardner 001; Yoav Artzi; Victoria Basmova; Jonathan Berant; Ben Bogin; Sihao Chen; Pradeep Dasigi; Dheeru Dua; Yanai Elazar; Ananth Gottumukkala; Nitish Gupta; Hanna Hajishirzi; et al. (CoRR, 2020)

Foreshadowing the Benefits of Incidental Supervision. - Hangfeng He 001; Mingyuan Zhang; Qiang Ning; Dan Roth 001 (CoRR, 2020)

ESTER: A Machine Reading Comprehension Dataset for Reasoning about Event Semantic Relations. - Rujun Han; I-Hung Hsu; Jiao Sun; Julia Baylon; Qiang Ning; Dan Roth 001; Nanyun Peng 001 (EMNLP (1), 2021)

Foreseeing the Benefits of Incidental Supervision. - Hangfeng He 001; Mingyuan Zhang; Qiang Ning; Dan Roth 001 (EMNLP (1), 2021)

SPARTQA: A Textual Question Answering Benchmark for Spatial Reasoning. - Roshanak Mirzaee; Hossein Rajaby Faghihi; Qiang Ning; Parisa Kordjamshidi (NAACL-HLT, 2021)

Event Time Extraction and Propagation via Graph Attention Networks. - Haoyang Wen; Yanru Qu; Heng Ji 001; Qiang Ning; Jiawei Han 001; Avi Sil; Hanghang Tong; Dan Roth 001 (NAACL-HLT, 2021)

Temporal Reasoning on Implicit Events from Distant Supervision. - Ben Zhou; Kyle Richardson 001; Qiang Ning; Tushar Khot; Ashish Sabharwal; Dan Roth 001 (NAACL-HLT, 2021)

ESTER: A Machine Reading Comprehension Dataset for Event Semantic Relation Reasoning. - Rujun Han; I-Hung Hsu; Jiao Sun; Julia Baylon; Qiang Ning; Dan Roth 001; Nanyun Peng 001 (CoRR, 2021)

Extracting Temporal Event Relation with Syntactic-Guided Temporal Graph Transformer. - Shuaicheng Zhang; Lifu Huang; Qiang Ning (CoRR, 2021)

A Meta-framework for Spatiotemporal Quantity Extraction from Text. - Qiang Ning; Ben Zhou; Hao Wu 034; Haoruo Peng; Chuchu Fan; Matt Gardner 001 (ACL (1), 2022)

Biomechanical Design of a Passive Knee Exoskeleton for Adaptive Walking Assistance. - Bo Li; Qiang Ning; JiaHong Liu; Meng Zhou; YuXia Li; Minchao Liu; Ke Xu (ICBET, 2022)

PInKS: Preconditioned Commonsense Inference with Minimal Supervision. - Ehsan Qasemi; Piyush Khanna; Qiang Ning; Muhao Chen 001 (AACL/IJCNLP (1), 2022)

Extracting Temporal Event Relation with Syntax-guided Graph Transformer. - Shuaicheng Zhang; Qiang Ning; Lifu Huang (NAACL-HLT (Findings), 2022)

Answer Consolidation: Formulation and Benchmarking. - Wenxuan Zhou; Qiang Ning; Heba Elfardy; Kevin Small; Muhao Chen 001 (NAACL-HLT, 2022)

Controller Synthesis for Linear System With Reach-Avoid Specifications. - Chuchu Fan; Zengyi Qin; Umang Mathur 001; Qiang Ning; Sayan Mitra; Mahesh Viswanathan 001 (IEEE Trans. Autom. Control., 2022)

Indirectly Supervised Natural Language Processing. - Wenpeng Yin 001; Muhao Chen 001; Ben Zhou; Qiang Ning; Kai-Wei Chang; Dan Roth 001 (ACL (tutorial), 2023)

From Instructions to Constraints: Language Model Alignment with Automatic Constraint Verification. - Fei Wang 060; Chao Shang; Sarthak Jain; Shuai Wang; Qiang Ning; Bonan Min; Vittorio Castelli; Yassine Benajiba; Dan Roth 001 (CoRR, 2024)

Open Domain Question Answering with Conflicting Contexts. - Siyi Liu; Qiang Ning; Kishaloy Halder; Zheng Qi; Wei Xiao; Phu Mon Htut; Yi Zhang 001; Neha Anna John; Bonan Min; Yassine Benajiba; Dan Roth 001 (NAACL (Findings), 2025)

Aligning to Constraints for Data-Efficient Language Model Customization. - Fei Wang 060; Chao Shang; Shuai Wang; Sarthak Jain; Qiang Ning; Bonan Min; Vittorio Castelli; Yassine Benajiba; Dan Roth 001 (NAACL (Findings), 2025)

Self-supervised Analogical Learning using Language Models. - Ben Zhou; Sarthak Jain; Yi Zhang 001; Qiang Ning; Shuai Wang; Yassine Benajiba; Dan Roth 001 (CoRR, 2025)