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2020 – today
- 2024
[j7]Yiming Hei
, Jiawei Sheng, Lihong Wang, Qian Li, Shu Guo, Jianwei Liu:
Decomposition and recombination. A soft cascade model for event detection. Knowl. Based Syst. 298: 111924 (2024)- [j6]Yiming Hei, Lihong Wang, Jiawei Sheng, Jianwei Liu, Qian Li, Shu Guo:
Label graph augmented soft cascade decoding model for overlapping event extraction. Int. J. Mach. Learn. Cybern. 15(1): 79-95 (2024) - [j5]Shiyao Cui, Jiangxia Cao, Xin Cong, Jiawei Sheng, Quangang Li, Tingwen Liu, Jinqiao Shi:
Enhancing Multimodal Entity and Relation Extraction With Variational Information Bottleneck. IEEE ACM Trans. Audio Speech Lang. Process. 32: 1274-1285 (2024) - [j4]Qian Li, Jianxin Li, Jiawei Sheng, Shiyao Cui, Jia Wu, Yiming Hei, Hao Peng, Shu Guo, Lihong Wang, Amin Beheshti, Philip S. Yu:
A Survey on Deep Learning Event Extraction: Approaches and Applications. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6301-6321 (2024) - [c25]Zefeng Zhang, Jiawei Sheng, Chuang Zhang, Liangyunzhi Liangyunzhi, Wenyuan Zhang, Siqi Wang, Tingwen Liu:
Optimal Transport Guided Correlation Assignment for Multimodal Entity Linking. ACL (Findings) 2024: 4103-4117 - [c24]Shuili Zhang, Hongzhang Mu, Tingwen Liu, Qianqian Tong, Jiawei Sheng:
MSKR: Advancing Multi-modal Structured Knowledge Representation with Synergistic Hard Negative Samples. CIKM 2024: 3207-3216 - [c23]Taoyu Su, Xinghua Zhang, Jiawei Sheng, Zhenyu Zhang, Tingwen Liu:
LoginMEA: Local-to-Global Interaction Network for Multi-Modal Entity Alignment. ECAI 2024: 1173-1180 - [c22]Gehang Zhang, Jiawei Sheng, Shicheng Wang, Tingwen Liu:
Noise-Disentangled Graph Contrastive Learning via Low-Rank and Sparse Subspace Decomposition. ICASSP 2024: 5880-5884 - [c21]Taoyu Su, Jiawei Sheng, Shicheng Wang, Xinghua Zhang, Hongbo Xu, Tingwen Liu:
IBMEA: Exploring Variational Information Bottleneck for Multi-modal Entity Alignment. ACM Multimedia 2024: 4436-4445 - [c20]Xinghua Zhang, Gaode Chen, Shiyao Cui, Jiawei Sheng, Tingwen Liu, Hongbo Xu:
Exogenous and Endogenous Data Augmentation for Low-Resource Complex Named Entity Recognition. SIGIR 2024: 630-640 - [c19]Xiaodong Li, Jiawei Sheng, Jiangxia Cao, Wenyuan Zhang, Quangang Li, Tingwen Liu:
CDRNP: Cross-Domain Recommendation to Cold-Start Users via Neural Process. WSDM 2024: 378-386 - [i16]Qian Li, Shu Guo, Yinjia Chen, Cheng Ji, Jiawei Sheng, Jianxin Li:
Uncertainty-Aware Relational Graph Neural Network for Few-Shot Knowledge Graph Completion. CoRR abs/2403.04521 (2024) - [i15]Zefeng Zhang, Jiawei Sheng, Chuang Zhang, Yunzhi Liang, Wenyuan Zhang, Siqi Wang, Tingwen Liu:
Optimal Transport Guided Correlation Assignment for Multimodal Entity Linking. CoRR abs/2406.01934 (2024) - [i14]Taoyu Su, Jiawei Sheng, Shicheng Wang, Xinghua Zhang, Hongbo Xu, Tingwen Liu:
IBMEA: Exploring Variational Information Bottleneck for Multi-modal Entity Alignment. CoRR abs/2407.19302 (2024) - [i13]Taoyu Su, Xinghua Zhang, Jiawei Sheng, Zhenyu Zhang, Tingwen Liu:
LoginMEA: Local-to-Global Interaction Network for Multi-modal Entity Alignment. CoRR abs/2407.19625 (2024) - [i12]Wenyuan Zhang, Jiawei Sheng, Shuaiyi Nie, Zefeng Zhang, Xinghua Zhang, Yongquan He, Tingwen Liu:
Revealing the Challenge of Detecting Character Knowledge Errors in LLM Role-Playing. CoRR abs/2409.11726 (2024) - 2023
- [j3]Qian Li, Shu Guo, Jia Wu, Jianxin Li, Jiawei Sheng, Hao Peng, Lihong Wang:
Event Extraction by Associating Event Types and Argument Roles. IEEE Trans. Big Data 9(6): 1549-1560 (2023) - [j2]Qian Li, Jianxin Li, Lihong Wang, Cheng Ji, Yiming Hei, Jiawei Sheng, Qingyun Sun, Shan Xue, Pengtao Xie:
Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems. ACM Trans. Web 17(3): 20:1-20:26 (2023) - [c18]Gehang Zhang, Bowen Yu, Jiangxia Cao, Xinghua Zhang, Jiawei Sheng, Chuan Zhou, Tingwen Liu:
ID-MixGCL: Identity Mixup for Graph Contrastive Learning. IEEE Big Data 2023: 473-482 - [c17]Jiawei Sheng, Xin Cong, Jiangxia Cao, Shu Guo, Chen Li, Lihong Wang, Tingwen Liu, Hongbo Xu:
Uncertain Relational Hypergraph Attention Networks for Document-Level Event Factuality Identification. ECAI 2023: 2129-2137 - [c16]Dan Luo, Jiawei Sheng, Hongbo Xu, Lihong Wang, Bin Wang:
Improving Complex Knowledge Base Question Answering with Relation-Aware Subgraph Retrieval and Reasoning Network. IJCNN 2023: 1-8 - [c15]Qian Li, Shu Guo, Yangyifei Luo, Cheng Ji, Lihong Wang, Jiawei Sheng, Jianxin Li:
Attribute-Consistent Knowledge Graph Representation Learning for Multi-Modal Entity Alignment. WWW 2023: 2499-2508 - [i11]Shiyao Cui, Jiawei Sheng, Xin Cong, Quangang Li, Tingwen Liu, Jinqiao Shi:
Event Causality Extraction with Event Argument Correlations. CoRR abs/2301.11621 (2023) - [i10]Qian Li, Shu Guo, Yangyifei Luo, Cheng Ji, Lihong Wang, Jiawei Sheng, Jianxin Li:
Attribute-Consistent Knowledge Graph Representation Learning for Multi-Modal Entity Alignment. CoRR abs/2304.01563 (2023) - [i9]Shiyao Cui, Jiangxia Cao, Xin Cong, Jiawei Sheng, Quangang Li, Tingwen Liu, Jinqiao Shi:
Enhancing Multimodal Entity and Relation Extraction with Variational Information Bottleneck. CoRR abs/2304.02328 (2023) - [i8]Jiangxia Cao, Xin Cong, Jiawei Sheng, Tingwen Liu, Bin Wang:
Contrastive Cross-Domain Sequential Recommendation. CoRR abs/2304.03891 (2023) - [i7]Shiyao Cui, Xin Cong, Jiawei Sheng, Xuebin Wang, Tingwen Liu, Jinqiao Shi:
Prompt2Gaussia: Uncertain Prompt-learning for Script Event Prediction. CoRR abs/2308.02103 (2023) - 2022
- [c14]Jiangxia Cao, Xin Cong, Jiawei Sheng, Tingwen Liu, Bin Wang:
Contrastive Cross-Domain Sequential Recommendation. CIKM 2022: 138-147 - [c13]Shiyao Cui, Jiawei Sheng, Xin Cong, Quangang Li, Tingwen Liu, Jinqiao Shi:
Event Causality Extraction with Event Argument Correlations. COLING 2022: 2300-2312 - [c12]Jiangxia Cao, Jiawei Sheng, Xin Cong, Tingwen Liu, Bin Wang:
Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck. ICDE 2022: 2209-2223 - [c11]Zhaohui Wang, Xinghua Zhang, Yanzeng Li, Yubin Wang, Jiawei Sheng, Tingwen Liu, Hongbo Xu:
Enhancing Pre-Trained Language Representations Based on Contrastive Learning for Unsupervised Keyphrase Extraction. SEKE 2022: 317-322 - [c10]Jiawei Sheng, Rui Sun, Shu Guo, Shiyao Cui, Jiangxia Cao, Lihong Wang, Tingwen Liu, Hongbo Xu:
CorED: Incorporating Type-level and Instance-level Correlations for Fine-grained Event Detection. SIGIR 2022: 1122-1132 - [c9]Xin Cong, Jiawei Sheng, Shiyao Cui, Bowen Yu, Tingwen Liu, Bin Wang:
Relation-Guided Few-Shot Relational Triple Extraction. SIGIR 2022: 2206-2213 - [i6]Jiangxia Cao, Jiawei Sheng, Xin Cong, Tingwen Liu, Bin Wang:
Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck. CoRR abs/2203.16863 (2022) - [i5]Qian Li, Jianxin Li, Lihong Wang, Cheng Ji, Yiming Hei, Jiawei Sheng, Qingyun Sun, Shan Xue, Pengtao Xie:
Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems. CoRR abs/2211.08168 (2022) - 2021
- [j1]Jiawei Sheng, Qian Li, Yiming Hei, Shu Guo, Bowen Yu, Lihong Wang, Min He, Tingwen Liu, Hongbo Xu:
A Joint Learning Framework for the CCKS-2020 Financial Event Extraction Task. Data Intell. 3(3): 444-459 (2021) - [c8]Jiawei Sheng, Shu Guo, Bowen Yu, Qian Li, Yiming Hei, Lihong Wang, Tingwen Liu, Hongbo Xu:
CasEE: A Joint Learning Framework with Cascade Decoding for Overlapping Event Extraction. ACL/IJCNLP (Findings) 2021: 164-174 - [c7]Yiming Hei, Qian Li, Caibo Zhou, Rui Sun, Jinglin Yang, Jiawei Sheng, Shu Guo, Lihong Wang:
A Dual-Classifier Model for General Fine-Grained Event Detection Task. CCKS (Evaluation Track) 2021: 18-27 - [c6]Hongren Huang, Shu Guo, Chen Li, Jiawei Sheng, Lihong Wang, Jianxin Li, Jing Liu, Shenghai Zhong:
Two-tier Graph Contextual Embedding for Cross-device User Matching. CIKM 2021: 730-739 - [c5]Xinghua Zhang, Bowen Yu, Tingwen Liu, Zhenyu Zhang, Jiawei Sheng, Mengge Xue, Hongbo Xu:
Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning. EMNLP (Findings) 2021: 1518-1529 - [c4]Xinghua Zhang, Bowen Yu, Tingwen Liu, Zhenyu Zhang, Jiawei Sheng, Mengge Xue, Hongbo Xu:
Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning. EMNLP (1) 2021: 10746-10757 - [c3]Bowen Yu, Zhenyu Zhang, Jiawei Sheng, Tingwen Liu, Yubin Wang, Yucheng Wang, Bin Wang:
Semi-Open Information Extraction. WWW 2021: 1661-1672 - [c2]Lihong Wang, Juwei Yue, Shu Guo, Jiawei Sheng, Qianren Mao, Zhenyu Chen, Shenghai Zhong, Chen Li:
Multi-level Connection Enhanced Representation Learning for Script Event Prediction. WWW 2021: 3524-3533 - [i4]Jiawei Sheng, Shu Guo, Bowen Yu, Qian Li, Yiming Hei, Lihong Wang, Tingwen Liu, Hongbo Xu:
CasEE: A Joint Learning Framework with Cascade Decoding for Overlapping Event Extraction. CoRR abs/2107.01583 (2021) - [i3]Qian Li, Hao Peng, Jianxin Li, Yiming Hei, Rui Sun, Jiawei Sheng, Shu Guo, Lihong Wang, Philip S. Yu:
Deep Learning Schema-based Event Extraction: Literature Review and Current Trends. CoRR abs/2107.02126 (2021) - [i2]Xinghua Zhang, Bowen Yu, Tingwen Liu, Zhenyu Zhang, Jiawei Sheng, Mengge Xue, Hongbo Xu:
Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning. CoRR abs/2110.04429 (2021) - 2020
- [c1]Jiawei Sheng, Shu Guo, Zhenyu Chen, Juwei Yue, Lihong Wang, Tingwen Liu, Hongbo Xu:
Adaptive Attentional Network for Few-Shot Knowledge Graph Completion. EMNLP (1) 2020: 1681-1691 - [i1]Jiawei Sheng, Shu Guo, Zhenyu Chen, Juwei Yue, Lihong Wang, Tingwen Liu, Hongbo Xu:
Adaptive Attentional Network for Few-Shot Knowledge Graph Completion. CoRR abs/2010.09638 (2020)
Coauthor Index
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