WI-ENRE in CLEF eHealth Evaluation Lab 2015: Clinical Named Entity Recognition Based on CRF. - Jingchi Jiang; Yi Guan; Chao Zhao 002 (CLEF (Working Notes), 2015)

HIT-WI at TREC 2015 Clinical Decision Support Track. - Jingchi Jiang; Yi Guan; Jia Su; Chao Zhao 002; Jinfeng Yang (TREC, 2015)

Constructing a Hierarchical User Interest Structure Based on User Profiles. - Chao Zhao 002; Min Zhao; Yi Guan (ICDM Workshops, 2017)

A study of EMR-based medical knowledge network and its applications. - Chao Zhao 002; Jingchi Jiang; Zhiming Xu; Yi Guan (Comput. Methods Programs Biomed., 2017)

Learning and inference in knowledge-based probabilistic model for medical diagnosis. - Jingchi Jiang; Chao Zhao 002; Yi Guan; Qiubin Yu (CoRR, 2017)

De-identification of medical records using conditional random fields and long short-term memory networks. - Zhipeng Jiang; Chao Zhao 002; Bin He 005; Yi Guan; Jingchi Jiang (CoRR, 2017)

EMR-based medical knowledge representation and inference via Markov random fields and distributed representation learning. - Chao Zhao 002; Jingchi Jiang; Yi Guan (CoRR, 2017)

Classification of entities via their descriptive sentences. - Chao Zhao 002; Min Zhao; Yi Guan (CoRR, 2017)

Learning and inference in knowledge-based probabilistic model for medical diagnosis. - Jingchi Jiang; Xueli Li; Chao Zhao 002; Yi Guan; Qiubin Yu (Knowl. Based Syst., 2017)

EMR-based medical knowledge representation and inference via Markov random fields and distributed representation learning. - Chao Zhao 002; Jingchi Jiang; Yi Guan; Xitong Guo; Bin He 005 (Artif. Intell. Medicine, 2018)

Max-margin weight learning for medical knowledge network. - Jingchi Jiang; Jing Xie 012; Chao Zhao 002; Jia Su; Yi Guan; Qiubin Yu (Comput. Methods Programs Biomed., 2018)

Weakly-Supervised Opinion Summarization by Leveraging External Information. - Chao Zhao 002; Snigdha Chaturvedi (AAAI, 2020)

Bridging the Structural Gap Between Encoding and Decoding for Data-To-Text Generation. - Chao Zhao 002; Marilyn A. Walker; Snigdha Chaturvedi (ACL, 2020)

"Let Your Characters Tell Their Story": A Dataset for Character-Centric Narrative Understanding. - Faeze Brahman; Meng Huang; Oyvind Tafjord; Chao Zhao 002; Mrinmaya Sachan; Snigdha Chaturvedi (EMNLP (Findings), 2021)

Unsupervised Extractive Opinion Summarization Using Sparse Coding. - Somnath Basu Roy Chowdhury; Chao Zhao 002; Snigdha Chaturvedi (ACL (1), 2022)

Read Top News First: A Document Reordering Approach for Multi-Document News Summarization. - Chao Zhao 002; Tenghao Huang; Somnath Basu Roy Chowdhury; Muthu Kumar Chandrasekaran; Kathleen R. McKeown; Snigdha Chaturvedi (ACL (Findings), 2022)

Learning-by-Narrating: Narrative Pre-Training for Zero-Shot Dialogue Comprehension. - Chao Zhao 002; Wenlin Yao; Dian Yu 001; Kaiqiang Song; Dong Yu 001; Jianshu Chen (ACL (2), 2022)

NarraSum: A Large-Scale Dataset for Abstractive Narrative Summarization. - Chao Zhao 002; Faeze Brahman; Kaiqiang Song; Wenlin Yao; Dian Yu 001; Snigdha Chaturvedi (EMNLP (Findings), 2022)

Revisiting Generative Commonsense Reasoning: A Pre-Ordering Approach. - Chao Zhao 002; Faeze Brahman; Tenghao Huang; Snigdha Chaturvedi (NAACL-HLT (Findings), 2022)

PARROT: Zero-Shot Narrative Reading Comprehension via Parallel Reading. - Chao Zhao 002; Anvesh Rao Vijjini; Snigdha Chaturvedi (EMNLP (Findings), 2023)

Text Summarization under low Supervision. - Chao Zhao 002 (2023)

Returning to the Start: Generating Narratives with Related Endpoints. - Anneliese Brei; Chao Zhao 002; Snigdha Chaturvedi (NAACL (Short Papers), 2024)

SPECTRUM: Speaker-Enhanced Pre-Training for Long Dialogue Summarization. - Sangwoo Cho; Kaiqiang Song; Chao Zhao 002; Xiaoyang Wang; Dong Yu 001 (CoRR, 2024)

Causal Discovery from Time-Series Data with Short-Term Invariance-Based Convolutional Neural Networks. - Rujia Shen; Boran Wang; Chao Zhao 002; Yi Guan; Jingchi Jiang (CoRR, 2024)

Causal discovery based on hierarchical reinforcement learning. - Jingchi Jiang; Rujia Shen; Chao Zhao 002; Yi Guan; Xuehui Yu; Xuelian Fu (Expert Syst. Appl., 2025)

Hierarchical Causal Discovery From Large-Scale Observed Variables. - Rujia Shen; Muhan Li; Chao Zhao 002; Boran Wang; Yi Guan; Jie Liu 001; Jingchi Jiang (IEEE Trans. Knowl. Data Eng., 2025)