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ORCIDChao Zhao 0002
Person information
- affiliation (PhD 2023): University of North Carolina at Chapel Hill, Department of Computer Science, Chapel Hill, NC, USA
- affiliation (2018 - 2019): University of California, Santa Cruz, CA, USA
- affiliation (2016 - 2018): Harbin Institute of Technology, School of Computer Science and Technology, Harbin, China
Other persons with the same name
- Chao Zhao — disambiguation page
- Chao Zhao 0001 — China National Institute of Standardization, Beijing, China
- Chao Zhao 0003
![[0000-0002-1749-7223]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-1749-7223")
— Huazhong University of Science and Technology, Wuhan, China - Chao Zhao 0004 — Jilin University, School of Artificial Intelligence, Jilin, China (and 1 more)
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2020 – today
- 2025
[j6]Jingchi Jiang, Rujia Shen, Chao Zhao, Yi Guan, Xuehui Yu, Xuelian Fu:
Causal discovery based on hierarchical reinforcement learning. Expert Syst. Appl. 279: 127466 (2025)- [j5]Rujia Shen, Muhan Li, Chao Zhao, Boran Wang, Yi Guan, Jie Liu, Jingchi Jiang:
Hierarchical Causal Discovery From Large-Scale Observed Variables. IEEE Trans. Knowl. Data Eng. 37(5): 2626-2639 (2025) - 2024
- [c14]Anneliese Brei, Chao Zhao, Snigdha Chaturvedi:
Returning to the Start: Generating Narratives with Related Endpoints. NAACL (Short Papers) 2024: 101-112 - [i15]Sangwoo Cho, Kaiqiang Song, Chao Zhao, Xiaoyang Wang, Dong Yu:
SPECTRUM: Speaker-Enhanced Pre-Training for Long Dialogue Summarization. CoRR abs/2401.17597 (2024) - [i14]Anneliese Brei, Chao Zhao, Snigdha Chaturvedi:
Returning to the Start: Generating Narratives with Related Endpoints. CoRR abs/2404.00829 (2024) - [i13]Rujia Shen, Boran Wang, Chao Zhao, Yi Guan, Jingchi Jiang:
Causal Discovery from Time-Series Data with Short-Term Invariance-Based Convolutional Neural Networks. CoRR abs/2408.08023 (2024) - 2023
- [b1]Chao Zhao:
Text Summarization under low Supervision. University of North Carolina, Chapel Hill, USA, 2023 - [c13]Chao Zhao, Anvesh Rao Vijjini, Snigdha Chaturvedi:
PARROT: Zero-Shot Narrative Reading Comprehension via Parallel Reading. EMNLP (Findings) 2023: 13413-13424 - 2022
- [c12]Chao Zhao, Wenlin Yao, Dian Yu, Kaiqiang Song, Dong Yu, Jianshu Chen:
Learning-by-Narrating: Narrative Pre-Training for Zero-Shot Dialogue Comprehension. ACL (2) 2022: 212-218 - [c11]Chao Zhao, Tenghao Huang, Somnath Basu Roy Chowdhury, Muthu Kumar Chandrasekaran, Kathleen R. McKeown, Snigdha Chaturvedi:
Read Top News First: A Document Reordering Approach for Multi-Document News Summarization. ACL (Findings) 2022: 613-621 - [c10]Somnath Basu Roy Chowdhury, Chao Zhao, Snigdha Chaturvedi:
Unsupervised Extractive Opinion Summarization Using Sparse Coding. ACL (1) 2022: 1209-1225 - [c9]Chao Zhao, Faeze Brahman, Kaiqiang Song, Wenlin Yao, Dian Yu, Snigdha Chaturvedi:
NarraSum: A Large-Scale Dataset for Abstractive Narrative Summarization. EMNLP (Findings) 2022: 182-197 - [c8]Chao Zhao, Faeze Brahman, Tenghao Huang, Snigdha Chaturvedi:
Revisiting Generative Commonsense Reasoning: A Pre-Ordering Approach. NAACL-HLT (Findings) 2022: 1709-1718 - [i12]Somnath Basu Roy Chowdhury, Chao Zhao, Snigdha Chaturvedi:
Unsupervised Extractive Opinion Summarization Using Sparse Coding. CoRR abs/2203.07921 (2022) - [i11]Chao Zhao, Wenlin Yao, Dian Yu, Kaiqiang Song, Dong Yu, Jianshu Chen:
Learning-by-Narrating: Narrative Pre-Training for Zero-Shot Dialogue Comprehension. CoRR abs/2203.10249 (2022) - [i10]Chao Zhao, Tenghao Huang, Somnath Basu Roy Chowdhury, Muthu Kumar Chandrasekaran, Kathleen R. McKeown, Snigdha Chaturvedi:
Read Top News First: A Document Reordering Approach for Multi-Document News Summarization. CoRR abs/2203.10254 (2022) - [i9]Chao Zhao, Faeze Brahman, Tenghao Huang, Snigdha Chaturvedi:
Revisiting Generative Commonsense Reasoning: A Pre-Ordering Approach. CoRR abs/2205.13183 (2022) - [i8]Chao Zhao, Faeze Brahman, Kaiqiang Song, Wenlin Yao, Dian Yu, Snigdha Chaturvedi:
NarraSum: A Large-Scale Dataset for Abstractive Narrative Summarization. CoRR abs/2212.01476 (2022) - 2021
- [c7]Faeze Brahman, Meng Huang, Oyvind Tafjord, Chao Zhao, Mrinmaya Sachan, Snigdha Chaturvedi:
"Let Your Characters Tell Their Story": A Dataset for Character-Centric Narrative Understanding. EMNLP (Findings) 2021: 1734-1752 - [i7]Faeze Brahman, Meng Huang, Oyvind Tafjord, Chao Zhao, Mrinmaya Sachan, Snigdha Chaturvedi:
"Let Your Characters Tell Their Story": A Dataset for Character-Centric Narrative Understanding. CoRR abs/2109.05438 (2021) - 2020
- [c6]Chao Zhao, Snigdha Chaturvedi:
Weakly-Supervised Opinion Summarization by Leveraging External Information. AAAI 2020: 9644-9651 - [c5]Chao Zhao, Marilyn A. Walker, Snigdha Chaturvedi:
Bridging the Structural Gap Between Encoding and Decoding for Data-To-Text Generation. ACL 2020: 2481-2491
2010 – 2019
- 2019
- [i6]Chao Zhao, Snigdha Chaturvedi:
Weakly-Supervised Opinion Summarization by Leveraging External Information. CoRR abs/1911.09844 (2019) - 2018
- [j4]Chao Zhao, Jingchi Jiang, Yi Guan, Xitong Guo, Bin He:
EMR-based medical knowledge representation and inference via Markov random fields and distributed representation learning. Artif. Intell. Medicine 87: 49-59 (2018) - [j3]Jingchi Jiang, Jing Xie, Chao Zhao, Jia Su, Yi Guan, Qiubin Yu:
Max-margin weight learning for medical knowledge network. Comput. Methods Programs Biomed. 156: 179-190 (2018) - 2017
- [j2]Chao Zhao, Jingchi Jiang, Zhiming Xu, Yi Guan:
A study of EMR-based medical knowledge network and its applications. Comput. Methods Programs Biomed. 143: 13-23 (2017) - [j1]Jingchi Jiang, Xueli Li, Chao Zhao, Yi Guan, Qiubin Yu:
Learning and inference in knowledge-based probabilistic model for medical diagnosis. Knowl. Based Syst. 138: 58-68 (2017) - [c4]Chao Zhao, Min Zhao, Yi Guan:
Constructing a Hierarchical User Interest Structure Based on User Profiles. ICDM Workshops 2017: 156-162 - [i5]Jingchi Jiang, Chao Zhao, Yi Guan, Qiubin Yu:
Learning and inference in knowledge-based probabilistic model for medical diagnosis. CoRR abs/1703.09368 (2017) - [i4]Zhipeng Jiang, Chao Zhao, Bin He, Yi Guan, Jingchi Jiang:
De-identification of medical records using conditional random fields and long short-term memory networks. CoRR abs/1709.06901 (2017) - [i3]Chao Zhao, Jingchi Jiang, Yi Guan:
EMR-based medical knowledge representation and inference via Markov random fields and distributed representation learning. CoRR abs/1709.06908 (2017) - [i2]Chao Zhao, Min Zhao, Yi Guan:
Constructing a Hierarchical User Interest Structure based on User Profiles. CoRR abs/1709.06918 (2017) - [i1]Chao Zhao, Min Zhao, Yi Guan:
Classification of entities via their descriptive sentences. CoRR abs/1711.10317 (2017) - 2015
- [c3]Jingchi Jiang, Yi Guan, Chao Zhao:
WI-ENRE in CLEF eHealth Evaluation Lab 2015: Clinical Named Entity Recognition Based on CRF. CLEF (Working Notes) 2015 - [c2]Jingchi Jiang, Yi Guan, Chao Zhao:
WI-ENRE in CLEF eHealth Evaluation Lab 2015: Clinical Named Entity Recognition Based on CRF. CLEF (Working Notes) 2015 - [c1]Jingchi Jiang, Yi Guan, Jia Su, Chao Zhao, Jinfeng Yang:
HIT-WI at TREC 2015 Clinical Decision Support Track. TREC 2015
Coauthor Index
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