Sequence Generative Adversarial Network for Long Text Summarization. - Hao Xu; Yanan Cao 001; Ruipeng Jia; Yanbing Liu; Jianlong Tan (ICTAI, 2018)

DistilSum: : Distilling the Knowledge for Extractive Summarization. - Ruipeng Jia; Yanan Cao 001; Haichao Shi; Fang Fang 009; Yanbing Liu; Jianlong Tan (CIKM, 2020)

Neural Extractive Summarization with Hierarchical Attentive Heterogeneous Graph Network. - Ruipeng Jia; Yanan Cao 001; Hengzhu Tang; Fang Fang 009; Cong Cao 001; Shi Wang 002 (EMNLP (1), 2020)

Enhancing Textual Representation for Abstractive Summarization: Leveraging Masked Decoder. - Ruipeng Jia; Yannan Cao; Fang Fang 009; Jinpeng Li 003; Yanbing Liu; Pengfei Yin (IJCNN, 2020)

Enhancing Pre-trained Language Representation for Multi-Task Learning of Scientific Summarization. - Ruipeng Jia; Yannan Cao; Fang Fang 009; Jinpeng Li 003; Yanbing Liu; Pengfei Yin (IJCNN, 2020)

Improving Abstractive Summarization with Iterative Representation. - Jinpeng Li 003; Chuang Zhang; Xiaojun Chen 004; Yanan Cao 001; Ruipeng Jia (IJCNN, 2020)

Flexible Non-Autoregressive Extractive Summarization with Threshold: How to Extract a Non-Fixed Number of Summary Sentences. - Ruipeng Jia; Yanan Cao 001; Haichao Shi; Fang Fang 009; Pengfei Yin; Shi Wang 002 (AAAI, 2021)

Deep Differential Amplifier for Extractive Summarization. - Ruipeng Jia; Yanan Cao 001; Fang Fang 009; Yuchen Zhou; Zheng Fang 002; Yanbing Liu; Shi Wang 002 (ACL/IJCNLP (1), 2021)

TEBNER: Domain Specific Named Entity Recognition with Type Expanded Boundary-aware Network. - Zheng Fang 002; Yanan Cao 001; Tai Li; Ruipeng Jia; Fang Fang 009; Yanmin Shang; Yuhai Lu (EMNLP (1), 2021)

Multi-Granularity Heterogeneous Graph for Document-Level Relation Extraction. - Hengzhu Tang; Yanan Cao 001; Zhenyu Zhang 006; Ruipeng Jia; Fang Fang 009; Shi Wang 002 (ICASSP, 2021)

Neural Label Search for Zero-Shot Multi-Lingual Extractive Summarization. - Ruipeng Jia; Xingxing Zhang 002; Yanan Cao 001; Zheng Lin 001; Shi Wang 002; Furu Wei (ACL (1), 2022)

Decoupled Extractive Summarization as Graph Nodes Pruning. - Hanwei Wang; Piji Li; Yanan Cao; Ruipeng Jia; Wang Hai-long; Li Yang-chun (IJCNN, 2022)

Orthogonal Finetuning for Direct Preference Optimization. - Chenxu Yang; Ruipeng Jia; Naibin Gu; Zheng Lin 001; Siyuan Chen; Chao Pang; Weichong Yin; Yu Sun; Hua Wu 003; Weiping Wang 005 (CoRR, 2024)

Writing-Zero: Bridge the Gap Between Non-verifiable Tasks and Verifiable Rewards. - Ruipeng Jia; Yunyi Yang; Yongbo Gai; Kai Luo; Shihao Huang; Jianhe Lin; Xiaoxi Jiang; Guanjun Jiang (CoRR, 2025)