2025

• Mitigating Modality Bias in Multi-modal Entity Alignment from a Causal Perspective.
  Taoyu Su, Jiawei Sheng*, Duohe Ma, Xiaodong Li, Juwei Yue, Mengxiao Song, Yingkai Tang and Tingwen Liu. The 48th International ACM SIGIR Conference. (SIGIR 2025, CCF-A, Corresponding Author)

• Personalized Multi-Interest Modeling for Cross-Domain Recommendation to Cold-Start Users.
  Xiaodong Li, Jiawei Sheng, Jiangxia Cao, Xinghua Zhang, Wenyuan Zhang, Yong Sun, Shirui Pan, Zhihong Tian, Tingwen Liu. The 2025 IEEE International Conference on Data Engineering (ICDE), Hong Kong, May 19th-23rd, 2025 (ICDE 2025, CCF-A)

• Exploring Preference-Guided Diffusion Model for Cross-Domain Recommendation.
  Xiaodong Li, Hengzhu Tang, Jiawei Sheng*, Xinghua Zhang, Li Gao, Suqi Cheng, Dawei Yin, Tingwen Liu. 2025 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. (KDD 2025, CCF-A, Corresponding Author)

• Graph Wave Networks.
  Juwei Yue, Haikuo Li, Jiawei Sheng*, Yihan Guo, Xinghua Zhang, Chuan Zhou, Tingwen Liu*, Li Guo. International World Wide Web Conference 2025. (WWW 2025, CCF-A, Corresponding Author)

• Debiasing Multimodal Large Language Models via Noise-Aware Preference Optimization.
  Zefeng Zhang, Hengzhu Tang, Jiawei Sheng, Zhenyu Zhang, YiMing Ren, Zhenyang Li, Dawei Yin, Duohe Ma, Tingwen Liu. Conference on Computer Vision and Pattern Recognition 2025. (CVPR 2025, CCF-A)

2024

• IBMEA: Exploring Variational Information Bottleneck for Multi-modal Entity Alignment.
  Taoyu Su, Jiawei Sheng*, Shicheng Wang, Xinghua Zhang, Hongbo Xu, Tingwen Liu. In Proceedings of the ACM MULTIMEDIA 2024. (ACM MM 2024, CCF-A, Corresponding Author)

• LoginMEA: Local-to-Global Interaction Network for Multi-modal Entity Alignment.
  Taoyu Su, Xinghua Zhang, Jiawei Sheng*, Zhenyu Zhang, Tingwen Liu. In Proceedings of the 27th European Conference on Artifical Intelligence. (ECAI 2024, CCF-B, Corresponding Author)

• Optimal Transport Guided Correlation Assignment for Multimodal Entity Linking.
  Zefeng Zhang, Jiawei Sheng(equal contribution), Chuang Zhang, Yunzhi Liang, Wenyuan Zhang, Siqi Wang, Tingwen Liu. In Findings of the 62nd Annual Meeting of the Association for Computational Linguistics. (Findings of ACL 2024)

• CDRNP: Cross-Domain Recommendation to Cold-Start Users via Neural Process.
  Xiaodong Li, Jiawei Sheng*, Jiangxia Cao, Wenyuan Zhang, Quangang Li, Tingwen Liu*. In Proceedings of the 17th ACM International Conference on Web Search and Data Mining (WSDM 2024, CCF-B, Corresponding Author)

• Noise-Disentangled Graph Contrastive Learning via Low-Rank and Sparse Subspace Decomposition.
  Gehang Zhang, Jiawei Sheng*, Shicheng Wang, Tingwen Liu*. In Proceedings of the 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2024, CCF-B, Corresponding Author)

• 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: 3207-3216 (CIKM 2024, CCF-B)

• Exogenous and Endogenous Data Augmentation for Low-Resource Complex Named Entity Recognition.
  Xinghua Zhang, Gaode Chen, Shiyao Cui, Jiawei Sheng, Tingwen Liu, Hongbo Xu. The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval: 630-640 (SIGIR 2024, CCF-A)

• 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. 32: 1274-1285 (2024) (TALSP 2024, CCF-B)

• 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. 298: 111924 (2024) (KBS 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. 35(5): 6301-6321 (2024) (TNNLS 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. 15(1): 79-95 (2024)

2023

• ID-MixGCL: Identity Mixup for Graph Contrastive Learning.
  Gehang Zhang, Bowen Yu, Jiangxia Cao, Xinghua Zhang, Jiawei Sheng*, Chuan Zhou, and Tingwen Liu. In Proceedings of the 2023 IEEE International Conference on Big Data (Bigdata 2023, CCF-C, Corresponding Author)

• 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. In Proceedings of the European Conference on Artificial Intelligence (ECAI 2023, CCF-B)

• 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. In Proceedings of the 2023 International World Wide Web Conference (WWW 2023, CCF-A)

• Event Extraction by Associating Event Types and Argument Roles.
  Qian Li, Shu Guo, Jia Wu, Senior Member, IEEE, Jianxin Li, Jiawei Sheng, Hao Peng, and Lihong Wang. IEEE Transactions on Big Data (TBD). 2023. (TBD 2022, CCF-C journal)

2022

• 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 Transactions on Neural Networks and Learning Systems, 2022. (TNNLS 2022, CCF-B journal)

• Event Causality Extraction with Event Argument Correlations.
  Shiyao Cui, Jiawei Sheng, Xin Cong, Quangang Li, Tingwen Liu, Jinqiao Shi. In Proceedings of the 29th International Conference on Computational Linguistics, Gyeongju, Republic of Korea, October 12-17, 2022. (COLING 2022, CCF-B)

• Contrastive Cross-Domain Sequential Recommendation.
  Jiangxia Cao, Xin Cong, Jiawei Sheng, Tingwen Liu, Bin Wang. In Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022. (CIKM 2022, CCF-B)

• 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 and Hongbo Xu. In Proceedings of the 34th International Conference on Software Engineering & Knowledge Engineering. (SEKE 2022, CCF-C)

• 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 and Hongbo Xu. In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, July 11-15 2022. (SIGIR 2022, CCF-A)

• Relation-Guided Few-Shot Relational Triple Extraction.
  Xin Cong, Jiawei Sheng, Shiyao Cui, Bowen Yu, Tingwen Liu* and Bin Wang. *In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, July 11-15 2022. (SIGIR 2022, short paper, CCF-A)*

• Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck.
  Jiangxia Cao, Jiawei Sheng, Xin Cong, Tingwen Liu and Bin Wang. In proceedings of the 38th IEEE International Conference on Data Engineering, Virtual, May 9-12 2022. (ICDE 2022, CCF-A)

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. In Findings of the 59th Annual Meeting of the Association for Computational Linguistics. (Findings of ACL 2021, CCF-A)

• 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. In Proceedings of the 30th ACM International Conference on Information and Knowledge Management. (CIKM 2021, CCF-B)

• 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. In Findings of the 2021 Conference on Empirical Methods in Natural Language Processing. (Findings of EMNLP 2021, CCF-B)

• Semi-Open Information Extraction.
  Bowen Yu, Zhenyu Zhang, Jiawei Sheng, Tingwen Liu, Yubin Wang, Yucheng Wang, Bin Wang. In Proceedings of the 30th Web Conference. (WWW 2021, CCF-A)

• 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. In Proceedings of the 30th Web Conference. (WWW 2021, CCF-A)

• 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 Intelligence. (DI 2021, SCI)

2020

• Adaptive Attentional Network for Few-Shot Knowledge Graph Completion.
  Jiawei Sheng, Shu Guo, Zhenyu Chen, Juwei Yue, Lihong Wang, Tingwen Liu, Hongbo Xu. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing. (EMNLP 2020, CCF-B)