Adaptive Attentional Network for Few-Shot Knowledge Graph Completion. - Jiawei Sheng; Shu Guo; Zhenyu Chen; Juwei Yue; Lihong Wang; Tingwen Liu; Hongbo Xu (EMNLP (1), 2020)

CasEE: A Joint Learning Framework with Cascade Decoding for Overlapping Event Extraction. - Jiawei Sheng; Shu Guo; Bowen Yu 002; Qian Li 033; Yiming Hei; Lihong Wang; Tingwen Liu; Hongbo Xu (ACL/IJCNLP (Findings), 2021)

A Dual-Classifier Model for General Fine-Grained Event Detection Task. - Yiming Hei; Qian Li 033; Caibo Zhou; Rui Sun; Jinglin Yang; Jiawei Sheng; Shu Guo; Lihong Wang (CCKS (Evaluation Track), 2021)

Two-tier Graph Contextual Embedding for Cross-device User Matching. - Hongren Huang; Shu Guo; Chen Li 046; Jiawei Sheng; Lihong Wang; Jianxin Li 002; Jing Liu; Shenghai Zhong (CIKM, 2021)

Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning. - Xinghua Zhang 001; Bowen Yu 002; Tingwen Liu; Zhenyu Zhang 006; Jiawei Sheng; Mengge Xue; Hongbo Xu (EMNLP (1), 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 046 (WWW, 2021)

Semi-Open Information Extraction. - Bowen Yu 002; Zhenyu Zhang 006; Jiawei Sheng; Tingwen Liu; Yubin Wang; Yucheng Wang; Bin Wang 004 (WWW, 2021)

Deep Learning Schema-based Event Extraction: Literature Review and Current Trends. - Qian Li 033; Hao Peng 001; Jianxin Li 002; Yiming Hei; Rui Sun; Jiawei Sheng; Shu Guo; Lihong Wang; Philip S. Yu (CoRR, 2021)

A Joint Learning Framework for the CCKS-2020 Financial Event Extraction Task. - Jiawei Sheng; Qian Li 033; Yiming Hei; Shu Guo; Bowen Yu 002; Lihong Wang; Min He; Tingwen Liu; Hongbo Xu (Data Intell., 2021)

Contrastive Cross-Domain Sequential Recommendation. - Jiangxia Cao; Xin Cong; Jiawei Sheng; Tingwen Liu; Bin Wang 004 (CIKM, 2022)

Event Causality Extraction with Event Argument Correlations. - Shiyao Cui; Jiawei Sheng; Xin Cong; Quangang Li; Tingwen Liu; Jinqiao Shi (COLING, 2022)

Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck. - Jiangxia Cao; Jiawei Sheng; Xin Cong; Tingwen Liu; Bin Wang 004 (ICDE, 2022)

Enhancing Pre-Trained Language Representations Based on Contrastive Learning for Unsupervised Keyphrase Extraction. - Zhaohui Wang; Xinghua Zhang 001; Yanzeng Li; Yubin Wang; Jiawei Sheng; Tingwen Liu; Hongbo Xu (SEKE, 2022)

Relation-Guided Few-Shot Relational Triple Extraction. - Xin Cong; Jiawei Sheng; Shiyao Cui; Bowen Yu 002; Tingwen Liu; Bin Wang 004 (SIGIR, 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 (SIGIR, 2022)

ID-MixGCL: Identity Mixup for Graph Contrastive Learning. - Gehang Zhang; Bowen Yu 002; Jiangxia Cao; Xinghua Zhang 001; Jiawei Sheng; Chuan Zhou 001; Tingwen Liu (IEEE Big Data, 2023)

Uncertain Relational Hypergraph Attention Networks for Document-Level Event Factuality Identification. - Jiawei Sheng; Xin Cong; Jiangxia Cao; Shu Guo; Chen Li 046; Lihong Wang; Tingwen Liu; Hongbo Xu (ECAI, 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 004 (IJCNN, 2023)

Attribute-Consistent Knowledge Graph Representation Learning for Multi-Modal Entity Alignment. - Qian Li 033; Shu Guo; Yangyifei Luo; Cheng Ji 001; Lihong Wang; Jiawei Sheng; Jianxin Li 002 (WWW, 2023)

Prompt2Gaussia: Uncertain Prompt-learning for Script Event Prediction. - Shiyao Cui; Xin Cong; Jiawei Sheng; Xuebin Wang; Tingwen Liu; Jinqiao Shi (CoRR, 2023)

Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems. - Qian Li 033; Jianxin Li 002; Lihong Wang; Cheng Ji 001; Yiming Hei; Jiawei Sheng; Qingyun Sun; Shan Xue 001; Pengtao Xie (ACM Trans. Web, 2023)

Event Extraction by Associating Event Types and Argument Roles. - Qian Li 033; Shu Guo; Jia Wu 001; Jianxin Li 002; Jiawei Sheng; Hao Peng 001; Lihong Wang (IEEE Trans. Big Data, 2023)

Optimal Transport Guided Correlation Assignment for Multimodal Entity Linking. - Zefeng Zhang; Jiawei Sheng; Chuang Zhang; Liangyunzhi Liangyunzhi; Wenyuan Zhang 002; Siqi Wang; Tingwen Liu (ACL (Findings), 2024)

Amethod based on network formulaology and network pharmacology for analyzing the correlation and synergy patterns in the compatibility of Traditional Chinese medicine formulas/prescriptions. - Shiyu Ma; Lin Zheng; Weijie Lin; Jiawei Sheng; Fazhong He; Xiaolan Bian (BIBM, 2024)

MSKR: Advancing Multi-modal Structured Knowledge Representation with Synergistic Hard Negative Samples. - Shuili Zhang; Hongzhang Mu; Tingwen Liu; Qianqian Tong; Jiawei Sheng (CIKM, 2024)

LoginMEA: Local-to-Global Interaction Network for Multi-Modal Entity Alignment. - Taoyu Su; Xinghua Zhang 001; Jiawei Sheng; Zhenyu Zhang 006; Tingwen Liu (ECAI, 2024)

Authenticated Decentralized Identifier Retrieval for Blockchain-based Web 3.0. - Jiawei Sheng; Jiamin Deng; Shang Gao 006; Huawei Huang; Zhe Peng (GLOBECOM, 2024)

Noise-Disentangled Graph Contrastive Learning via Low-Rank and Sparse Subspace Decomposition. - Gehang Zhang; Jiawei Sheng; Shicheng Wang; Tingwen Liu (ICASSP, 2024)

IBMEA: Exploring Variational Information Bottleneck for Multi-modal Entity Alignment. - Taoyu Su; Jiawei Sheng; Shicheng Wang; Xinghua Zhang 001; Hongbo Xu; Tingwen Liu (ACM Multimedia, 2024)

Exogenous and Endogenous Data Augmentation for Low-Resource Complex Named Entity Recognition. - Xinghua Zhang 001; Gaode Chen; Shiyao Cui; Jiawei Sheng; Tingwen Liu; Hongbo Xu (SIGIR, 2024)

CDRNP: Cross-Domain Recommendation to Cold-Start Users via Neural Process. - Xiaodong Li 012; Jiawei Sheng; Jiangxia Cao; Wenyuan Zhang 002; Quangang Li; Tingwen Liu (WSDM, 2024)

Uncertainty-Aware Relational Graph Neural Network for Few-Shot Knowledge Graph Completion. - Qian Li 033; Shu Guo; Yinjia Chen; Cheng Ji 001; Jiawei Sheng; Jianxin Li 002 (CoRR, 2024)

Optimal Transport Guided Correlation Assignment for Multimodal Entity Linking. - Zefeng Zhang; Jiawei Sheng; Chuang Zhang; Yunzhi Liang; Wenyuan Zhang 002; Siqi Wang; Tingwen Liu (CoRR, 2024)

Revealing the Challenge of Detecting Character Knowledge Errors in LLM Role-Playing. - Wenyuan Zhang 002; Jiawei Sheng; Shuaiyi Nie; Zefeng Zhang; Xinghua Zhang 001; Yongquan He; Tingwen Liu (CoRR, 2024)

Mixture of Hidden-Dimensions Transformer. - Yilong Chen; Junyuan Shang; Zhengyu Zhang; Jiawei Sheng; Tingwen Liu; Shuohuan Wang; Yu Sun 029; Hua Wu 003; Haifeng Wang 001 (CoRR, 2024)

Decomposition and recombination. A soft cascade model for event detection. - Yiming Hei; Jiawei Sheng; Lihong Wang; Qian Li 033; Shu Guo; Jianwei Liu 001 (Knowl. Based Syst., 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)

Label graph augmented soft cascade decoding model for overlapping event extraction. - Yiming Hei; Lihong Wang; Jiawei Sheng; Jianwei Liu 001; Qian Li 033; Shu Guo (Int. J. Mach. Learn. Cybern., 2024)

A Survey on Deep Learning Event Extraction: Approaches and Applications. - Qian Li 033; Jianxin Li 002; Jiawei Sheng; Shiyao Cui; Jia Wu 001; Yiming Hei; Hao Peng 001; Shu Guo; Lihong Wang; Amin Beheshti; Philip S. Yu (IEEE Trans. Neural Networks Learn. Syst., 2024)

Inner Thinking Transformer: Leveraging Dynamic Depth Scaling to Foster Adaptive Internal Thinking. - Yilong Chen; Junyuan Shang; Zhenyu Zhang 006; Yanxi Xie; Jiawei Sheng; Tingwen Liu; Shuohuan Wang; Yu Sun 029; Hua Wu 003; Haifeng Wang 001 (ACL (1), 2025)

Debiasing Multimodal Large Language Models via Noise-Aware Preference Optimization. - Zefeng Zhang; Hengzhu Tang; Jiawei Sheng; Zhenyu Zhang 006; Yiming Ren; Zhenyang Li; Dawei Yin; Duohe Ma; Tingwen Liu (CVPR, 2025)

Translational Generative Retrieval via Potential Query Generation. - Yihan Guo; Tingwen Liu; Jiawei Sheng; Duohe Ma; Ming Sun; Ling Tian (ICASSP, 2025)

Personalized Multi-Interest Modeling for Cross-Domain Recommendation to Cold-Start Users. - Xiaodong Li 012; Jiawei Sheng; Jiangxia Cao; Xinghua Zhang 001; Wenyuan Zhang 002; Yong Sun; Shirui Pan; Zhihong Tian; Tingwen Liu (ICDE, 2025)

Exploring Preference-Guided Diffusion Model for Cross-Domain Recommendation. - Xiaodong Li 012; Hengzhu Tang; Jiawei Sheng; Xinghua Zhang 001; Li Gao; Suqi Cheng; Dawei Yin; Tingwen Liu (KDD (1), 2025)

Mitigating Modality Bias in Multi-modal Entity Alignment from a Causal Perspective. - Taoyu Su; Jiawei Sheng; Duohe Ma; Xiaodong Li 012; Juwei Yue; Mengxiao Song; Yingkai Tang; Tingwen Liu (SIGIR, 2025)

Graph Wave Networks. - Juwei Yue; Haikuo Li; Jiawei Sheng; Yihan Guo; Xinghua Zhang 001; Chuan Zhou 001; Tingwen Liu; Li Guo 001 (WWW, 2025)

RCEAE: A Role Correlation-enhanced Model for Event Argument Extraction. - Yiming Hei; Jiawei Sheng; Shu Guo; Lihong Wang; Qian Li 033; Jianwei Liu 001; Yizhong Liu; Prayag Tiwari (Neurocomputing, 2025)

FARM: Frequency-Aware Model for Cross-Domain Live-Streaming Recommendation. - Xiaodong Li 012; Ruochen Yang; Shuang Wen 008; Shen Wang; Yueyang Liu; Guoquan Wang; Weisong Hu; Qiang Luo; Jiawei Sheng; Tingwen Liu; Jiangxia Cao; Shuang Yang; et al. (CoRR, 2025)

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations. - Juwei Yue; Haikuo Li; Jiawei Sheng; Xiaodong Li 012; Taoyu Su; Tingwen Liu; Li Guo 001 (CoRR, 2025)

A novel coarse-grained knowledge graph embedding framework for platform risk identification from relational data. - Qi Zhang; Shicheng Wang; Lihong Wang; Jiawei Sheng; Shu Guo; Chen Li 046; Min He; Renqiang Zhang (Neural Comput. Appl., 2025)