Jiawei Sheng

According to our database, Jiawei Sheng authored at least 36 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Survey on Deep Learning Event Extraction: Approaches and Applications.

Qian Li, Jianxin Li, Jiawei Sheng, Shiyao Cui, Jia Wu, Yiming Hei, Hao Peng, Shu Guo, Lihong Wang, Amin Beheshti, Philip S. Yu

IEEE Trans. Neural Networks Learn. Syst., May, 2024

Label graph augmented soft cascade decoding model for overlapping event extraction.

Yiming Hei, Lihong Wang, Jiawei Sheng, Jianwei Liu, Qian Li, Shu Guo

Int. J. Mach. Learn. Cybern., January, 2024

Enhancing Multimodal Entity and Relation Extraction With Variational Information Bottleneck.

Shiyao Cui, Jiangxia Cao, Xin Cong, Jiawei Sheng, Quangang Li, Tingwen Liu, Jinqiao Shi

IEEE ACM Trans. Audio Speech Lang. Process., 2024

Decomposition and recombination. A soft cascade model for event detection.

Yiming Hei, Jiawei Sheng, Lihong Wang, Qian Li, Shu Guo, Jianwei Liu

Knowl. Based Syst., 2024

Revealing the Challenge of Detecting Character Knowledge Errors in LLM Role-Playing.

Wenyuan Zhang, Jiawei Sheng, Shuaiyi Nie, Zefeng Zhang, Xinghua Zhang, Yongquan He, Tingwen Liu

CoRR, 2024

Optimal Transport Guided Correlation Assignment for Multimodal Entity Linking.

Zefeng Zhang, Jiawei Sheng, Chuang Zhang, Yunzhi Liang, Wenyuan Zhang, Siqi Wang, Tingwen Liu

CoRR, 2024

Uncertainty-Aware Relational Graph Neural Network for Few-Shot Knowledge Graph Completion.

Qian Li, Shu Guo, Yinjia Chen, Cheng Ji, Jiawei Sheng, Jianxin Li

CoRR, 2024

CDRNP: Cross-Domain Recommendation to Cold-Start Users via Neural Process.

Xiaodong Li, Jiawei Sheng, Jiangxia Cao, Wenyuan Zhang, Quangang Li, Tingwen Liu

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Exogenous and Endogenous Data Augmentation for Low-Resource Complex Named Entity Recognition.

Xinghua Zhang, Gaode Chen, Shiyao Cui, Jiawei Sheng, Tingwen Liu, Hongbo Xu

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

IBMEA: Exploring Variational Information Bottleneck for Multi-modal Entity Alignment.

Taoyu Su, Jiawei Sheng, Shicheng Wang, Xinghua Zhang, Hongbo Xu, Tingwen Liu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Noise-Disentangled Graph Contrastive Learning via Low-Rank and Sparse Subspace Decomposition.

Gehang Zhang, Jiawei Sheng, Shicheng Wang, Tingwen Liu

Proceedings of the IEEE International Conference on Acoustics, 2024

LoginMEA: Local-to-Global Interaction Network for Multi-Modal Entity Alignment.

Taoyu Su, Xinghua Zhang, Jiawei Sheng, Zhenyu Zhang, Tingwen Liu

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

MSKR: Advancing Multi-modal Structured Knowledge Representation with Synergistic Hard Negative Samples.

Shuili Zhang, Hongzhang Mu, Tingwen Liu, Qianqian Tong, Jiawei Sheng

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Optimal Transport Guided Correlation Assignment for Multimodal Entity Linking.

Zefeng Zhang, Jiawei Sheng, Chuang Zhang, Liangyunzhi Liangyunzhi, Wenyuan Zhang, Siqi Wang, Tingwen Liu

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Event Extraction by Associating Event Types and Argument Roles.

Qian Li, Shu Guo, Jia Wu, Jianxin Li, Jiawei Sheng, Hao Peng, Lihong Wang

IEEE Trans. Big Data, December, 2023

Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems.

Qian Li, Jianxin Li, Lihong Wang, Cheng Ji, Yiming Hei, Jiawei Sheng, Qingyun Sun, Shan Xue, Pengtao Xie

ACM Trans. Web, August, 2023

Prompt2Gaussia: Uncertain Prompt-learning for Script Event Prediction.

Shiyao Cui, Xin Cong, Jiawei Sheng, Xuebin Wang, Tingwen Liu, Jinqiao Shi

CoRR, 2023

Attribute-Consistent Knowledge Graph Representation Learning for Multi-Modal Entity Alignment.

Qian Li, Shu Guo, Yangyifei Luo, Cheng Ji, Lihong Wang, Jiawei Sheng, Jianxin Li

Proceedings of the ACM Web Conference 2023, 2023

Improving Complex Knowledge Base Question Answering with Relation-Aware Subgraph Retrieval and Reasoning Network.

Dan Luo, Jiawei Sheng, Hongbo Xu, Lihong Wang, Bin Wang

Proceedings of the International Joint Conference on Neural Networks, 2023

Uncertain Relational Hypergraph Attention Networks for Document-Level Event Factuality Identification.

Jiawei Sheng, Xin Cong, Jiangxia Cao, Shu Guo, Chen Li, Lihong Wang, Tingwen Liu, Hongbo Xu

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

ID-MixGCL: Identity Mixup for Graph Contrastive Learning.

Gehang Zhang, Bowen Yu, Jiangxia Cao, Xinghua Zhang, Jiawei Sheng, Chuan Zhou, Tingwen Liu

Proceedings of the IEEE International Conference on Big Data, 2023

2022

CorED: Incorporating Type-level and Instance-level Correlations for Fine-grained Event Detection.

Jiawei Sheng, Rui Sun, Shu Guo, Shiyao Cui, Jiangxia Cao, Lihong Wang, Tingwen Liu, Hongbo Xu

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Relation-Guided Few-Shot Relational Triple Extraction.

Xin Cong, Jiawei Sheng, Shiyao Cui, Bowen Yu, Tingwen Liu, Bin Wang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Enhancing Pre-Trained Language Representations Based on Contrastive Learning for Unsupervised Keyphrase Extraction.

Zhaohui Wang, Xinghua Zhang, Yanzeng Li, Yubin Wang, Jiawei Sheng, Tingwen Liu, Hongbo Xu

Proceedings of the 34th International Conference on Software Engineering and Knowledge Engineering, 2022

Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck.

Jiangxia Cao, Jiawei Sheng, Xin Cong, Tingwen Liu, Bin Wang

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Event Causality Extraction with Event Argument Correlations.

Shiyao Cui, Jiawei Sheng, Xin Cong, Quangang Li, Tingwen Liu, Jinqiao Shi

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Contrastive Cross-Domain Sequential Recommendation.

Jiangxia Cao, Xin Cong, Jiawei Sheng, Tingwen Liu, Bin Wang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

A Joint Learning Framework for the CCKS-2020 Financial Event Extraction Task.

Jiawei Sheng, Qian Li, Yiming Hei, Shu Guo, Bowen Yu, Lihong Wang, Min He, Tingwen Liu, Hongbo Xu

Data Intell., 2021

Deep Learning Schema-based Event Extraction: Literature Review and Current Trends.

Qian Li, Hao Peng, Jianxin Li, Yiming Hei, Rui Sun, Jiawei Sheng, Shu Guo, Lihong Wang, Philip S. Yu

CoRR, 2021

Semi-Open Information Extraction.

Bowen Yu, Zhenyu Zhang, Jiawei Sheng, Tingwen Liu, Yubin Wang, Yucheng Wang, Bin Wang

Proceedings of the WWW '21: The Web Conference 2021, 2021

Multi-level Connection Enhanced Representation Learning for Script Event Prediction.

Lihong Wang, Juwei Yue, Shu Guo, Jiawei Sheng, Qianren Mao, Zhenyu Chen, Shenghai Zhong, Chen Li

Proceedings of the WWW '21: The Web Conference 2021, 2021

Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning.

Xinghua Zhang, Bowen Yu, Tingwen Liu, Zhenyu Zhang, Jiawei Sheng, Mengge Xue, Hongbo Xu

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Two-tier Graph Contextual Embedding for Cross-device User Matching.

Hongren Huang, Shu Guo, Chen Li, Jiawei Sheng, Lihong Wang, Jianxin Li, Jing Liu, Shenghai Zhong

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

A Dual-Classifier Model for General Fine-Grained Event Detection Task.

Yiming Hei, Qian Li, Caibo Zhou, Rui Sun, Jinglin Yang, Jiawei Sheng, Shu Guo, Lihong Wang

Proceedings of the CCKS 2021 - Evaluation Track, 2021

CasEE: A Joint Learning Framework with Cascade Decoding for Overlapping Event Extraction.

Jiawei Sheng, Shu Guo, Bowen Yu, Qian Li, Yiming Hei, Lihong Wang, Tingwen Liu, Hongbo Xu

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Adaptive Attentional Network for Few-Shot Knowledge Graph Completion.

Jiawei Sheng, Shu Guo, Zhenyu Chen, Juwei Yue, Lihong Wang, Tingwen Liu, Hongbo Xu

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020