[1] Wei Li, Hai Zhuge. Abstractive multi-document summarization based on semantic link network. Journal of IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019 (CCF A).

[2] Zhibin Lan, Wei Li, Jinsong Su, Xinyan Xiao, Jiachen Liu, Wenhao Wu, Yajuan Lyu. FactGen: Faithful Text Generation by Factuality-aware Pre-training and Contrastive Ranking Fine-tuning. Journal of Artificial Intelligence Research (JAIR) 2023 (CCF B).

[3] Wei Li, Dezhi Cheng, Lei He, Yuanzhuo Wang and Xiaolong Jin. Joint Event Extraction Based on Hierarchical Event Schemas from FrameNet. Journal of IEEE Access, 2019.

[4] Wei Li, Hai Zhuge. Probabilistic inference on uncertain semantic link network and its application in event identification. Journal of Future Generation Computer Systems (FGCS), 2020.

会议文章：

[1] Wei Li*, Can Gao*, Guocheng Niu*, Xinyan Xiao*, Hao Liu, Jiachen Liu, Hua Wu and Haifeng Wang. UNIMO: Towards Unified-Modal Understanding and Generation via Cross-Modal Contrastive Learning. ACL 2021 long paper, Main Conference. (CCF A, * equal contribution)

[2] Wei Li, Xinyan Xiao, Jiachen Liu, Hua Wu and Haifeng Wang. Leveraging Graph to Improve Abstractive Multi-Document Summarization. ACL 2020 long paper, Main Conference. (CCF A)

[3] Wenhao Wu, Wei Li, Xinyan Xiao, Jiachen Liu, Sujian Li, Yajuan Lyu. WeCheck: Strong Factual Consistency Checker via Weakly Supervised Learning. ACL 2023 long paper, Main conference. (CCF A)

[4] Wei Li, Can Gao, Guocheng Niu, Xinyan Xiao, Hao Liu, Jiachen Liu, Hua Wu and Haifeng Wang. UNIMO-2: End-to-End Unified Vision-Language Grounded Learning. Findings of ACL 2022, long paper. (CCF A)

[5] Moye Chen*, Wei Li*, Jiachen Liu, Xinyan Xiao, Hua Wu and Haifeng Wang. SgSum: Transforming Multi-document Summarization into Sub-graph Selection. EMNLP 2021 long paper, Main Conference. (CCF B)

[6] Wenhao Wu, Wei Li, Xinyan Xiao, Jiachen Liu, Ziqiang Cao, Sujian Li, Hua Wu and Haifeng Wang. BASS: Boosting Abstractive Summarization with Unified Semantic Graph. ACL 2021 long paper, Main Conference. (CCF A)

[7] Zixuan Li, Xiaolong Jin, Wei Li, Saiping Guan, Jiafeng Guo, Huawei Shen, Yuanzhuo Wang and Xueqi Cheng. Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning. SIGIR2021 Full paper. (CCF A)

[8] Zixuan Li, Xiaolong Jin, Saiping Guan, Wei Li, Jiafeng Guo, Yuanzhuo Wang and Xueqi Cheng. Search from History and Reason for Future: Two-stage Reasoning on Temporal Knowledge Graphs. ACL 2021 long paper, Main Conference. (CCF A)

[9] Wenhao Wu, Wei Li, Jiachen Liu, Xinyan Xiao, Sujian Li and Yajuan Lyu. Precisely the Point: Adversarial Augmentations for Faithful and Informative Text Generation. EMNLP 2022 long paper, Main Conference. (CCF B)

[10] Wenhao Wu, Wei Li, Jiachen Liu, Xinyan Xiao, Sujian Li and Hua Wu. FRSUM: Towards Faithful Abstractive Summarization via Enhancing Factual Robustness. Findings of EMNLP 2022, long paper. (CCF B)

[11] Kun Zhang, Yunqi Qiu, Yuanzhuo Wang, Long Bai, Wei Li, Xuhui Jiang, Huawei Shen, Xueqi Cheng. Meta-CQG: A Meta-Learning Framework for Complex Question Generation over Knowledge Bases. COLING 2022 long paper. (CCF B)

[12] Zixuan Li, Saiping Guan, Xiaolong Jin, Weihua Peng, Yajuan Lyu, Yong Zhu, Long Bai, Wei Li, Jiafeng Guo, Xueqi Cheng. Complex Evolutional Pattern Learning for Temporal Knowledge Graph Reasoning. ACL 2022 short paper, Main Conference. (CCF A)

[13] Zixuan Li, Zhongni Hou, Saiping Guan, Xiaolong Jin, Weihua Peng, Long Bai, Yajuan Lyu, Wei Li, Jiafeng Guo and Xueqi Cheng. HiSMatch: Historical Structure Matching based Temporal Knowledge Graph Reasoning. EMNLP 2022 long paper, Main Conference. (CCF B)

[14] Wei Li, Xinyan Xiao, Yajuan Lyu and Yuanzhuo Wang. Improving neural abstractive document summarization with explicit information selection modeling. EMNLP 2018, long paper. (CCF B)

[15] Wei Li, Xinyan Xiao, Yajuan Lyu and Yuanzhuo Wang. Improving neural abstractive document summarization with structural regularization. EMNLP 2018, long paper. (CCF B)

[16] Wei Li, Lei He and Hai Zhuge. Abstractive news summarization based on event semantic link network. COLING 2016, Technical Papers. (CCF B)

[17] Lei He, Wei Li and Hai Zhuge. Exploring differential topic models for comparative summarization of scientific papers. COLING 2016, Technical Papers. (CCF B)