2026

• Conditional Diffusion Guided Knowledge Transfer for Multi-Domain Knowledge Graph Completion.
  Jiawei Sheng, Taoyu Su, Xixun Lin, Xiaodong Li, Tingwen Liu. In Proceedings of WWW 2026. (CCF-A, 676/3370=20.1%)

• Expectation-Maximization Driven Contrastive Disentanglement for Generalized Category Discovery.
  Weiyi Yang, Richong Zhang, Junfan Chen, Jiawei Sheng, Lihong Wang. In Proceedings of WWW 2026. (CCF-A, 676/3370=20.1%)

• S2CDR: Smoothing-Sharpening Process Model for Cross-Domain Recommendation.
  Xiaodong Li, Juwei Yue, Xinghua Zhang, Jiawei Sheng, Wenyuan Zhang, Taoyu Su, Zefeng Zhang and Tingwen Liu. In Proceedings of WWW 2026. (CCF-A, 676/3370=20.1%)

• FARM: Frequency-Aware Model for Cross-Domain Live-Streaming Recommendation.
  Xiaodong Li, Ruochen Yang, Shuang Wang, Shen Wang, Yueyang Liu, Guoquan Wang, Weisong Hu, Qiang Luo, Jiawei Sheng, Tingwen Liu. In Proceedings of KDD 2026. (CCF-A)

• From Agnostic to Specific: Latent Preference Diffusion for Multi-Behavior Sequential Recommendation.
  Ruochen Yang, Xiaodong Li, Jiawei Sheng, Jiangxia Cao, Xinkui Lin, Shen Wang, Shuang Yang, Zhaojie Liu, Tingwen Liu. In Proceedings of KDD 2026. (CCF-A)

• Information-Theoretic Minimal Sufficient Representation for Multi-Domain Knowledge Graph Completion.
  Jiawei Sheng, Taoyu Su, Weiyi Yang, Linghui Wang, Yongxiu Xu, Tingwen Liu. In Proceedings of AAAI 2026. (CCF-A, oral 4.6%)

• Fashion Microscope: Pixel-Level Attribute Perception via Optimal Transport and Neural Semantic Aggregation.
  Shuili Zhang, Hongzhang Mu, Jiawei Sheng, Qianqian Tong, Wenyuan Zhang, Quangang Li, Tingwen Liu In Proceedings of AAAI 2026. (CCF-A)

• Safety Alignment Should Be Made More Than Just A Few Attention Heads.
  Chao Huang, Zefeng Zhang, Juwei Yue, Jiawei Sheng, Quangang Li, Chuang Zhang, Tingwen Liu In Proceedings of ICASSP 2026. (CCF-B)

2025

• Hyperbolic GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations.
  Juwei Yue, Haikuo Li, Jiawei Sheng*, Xiaodong Li, Taoyu Su, Tingwen Liu, Li Guo. In Proceedings of ICML 2025. (CCF-A)

• 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. In Proceedings of SIGIR 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. In Proceedings of KDD 2025. (CCF-A)

• Graph Wave Networks.
  Juwei Yue, Haikuo Li, Jiawei Sheng*, Yihan Guo, Xinghua Zhang, Chuan Zhou, Tingwen Liu*, Li Guo. In Proceedings of WWW 2025. (CCF-A)

• 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. In Proceedings of ICDE 2025. (CCF-A)

• 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. In Proceedings of CVPR 2025. (CCF-A)

• Mixture of Hidden-Dimensions Transformer.
  Yilong Chen, Junyuan Shang, Zhenyu Zhang, Jiawei Sheng, Tingwen Liu, Shuohuan Wang, Yu Sun, Hua Wu, Haifeng Wang. In Proceedings of ICML 2025. (CCF-A)

• Inner thinking transformer: Leveraging dynamic depth scaling to foster adaptive internal thinking.
  Yilong Chen, Junyuan Shang, Zhenyu Zhang, Yanxi Xie, Jiawei Sheng, Tingwen Liu, Shuohuan Wang, Yu Sun, Hua Wu, Haifeng Wang. In Proceedings of ACL 2025. (CCF-A)

• REMOTE: A Unified Multimodal Relation Extraction Framework with Multilevel Optimal Transport and Mixture-of-Experts.
  Xinkui Lin, Yongxiu Xu, Minghao Tang, Shilong Zhang, Hongbo Xu, Hao Xu, Yubin Wang. In Proceedings of MM 2025. (CCF-A)

• Revealing and Mitigating the Challenge of Detecting Character Knowledge Errors in LLM Role-Playing.
  Wenyuan Zhang, Shuaiyi Nie, Jiawei Sheng, Zefeng Zhang, Xinghua Zhang, Yongquan He, Tingwen Liu. In Proceedings of EMNLP 2025. (CCF-B)

• Improving Reasoning Capabilities in Small Models through Mixture-of-Layers Distillation with Stepwise Attention on Key Information.
  Yao Chen, Jiawei Sheng, Wenyuan Zhang, Tingwen Liu. In Proceedings of EMNLP 2025. (CCF-B)

• Calibrating Pseudo-Labeling with Class Distribution for Semi-supervised Text Classification.
  Weiyi Yang, Richong Zhang, Junfan Chen, Jiawei Sheng. In Proceedings of EMNLP 2025. (CCF-B)

• Translational Generative Retrieval via Potential Query Generation.
  Yihan Guo, Tingwen Liu, Jiawei Sheng, Duohe Ma, Ming Sun, Ling Tian. In Proceedings of ICASSP 2025. (CCF-B)

• MoM: Continual Generative Retrieval via Mixture of Memories. Yihan Guo, Yilong Chen, Jiawei Sheng, Tingwen Liu. In Proceedings of ISEAE

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

• 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, Min He, Renqiang Zhang. Neural Computing and Applications

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 ACM MM 2024. (CCF-A)

• Exogenous and Endogenous Data Augmentation for Low-Resource Complex Named Entity Recognition.
  Xinghua Zhang, Gaode Chen, Shiyao Cui, Jiawei Sheng, Tingwen Liu, Hongbo Xu. In Proceedings of SIGIR 2024. (CCF-A)

• 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 ACL 2024

• LoginMEA: Local-to-Global Interaction Network for Multi-modal Entity Alignment.
  Taoyu Su, Xinghua Zhang, Jiawei Sheng*, Zhenyu Zhang, Tingwen Liu. In Proceedings of ECAI 2024. (CCF-B)

• 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 WSDM 2024. (CCF-B)

• Noise-Disentangled Graph Contrastive Learning via Low-Rank and Sparse Subspace Decomposition.
  Gehang Zhang, Jiawei Sheng*, Shicheng Wang, Tingwen Liu*. In Proceedings of ICASSP 2024. (CCF-B)

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

• 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

• 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 WWW 2023. (CCF-A)

• 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 ECAI 2023. (CCF-B)

• 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 Bigdata 2023. (CCF-C)

• 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

• 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 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 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 ICDE 2022. (CCF-A)

• Event Causality Extraction with Event Argument Correlations.
  Shiyao Cui, Jiawei Sheng, Xin Cong, Quangang Li, Tingwen Liu, Jinqiao Shi. In Proceedings of COLING 2022. (CCF-B)

• Contrastive Cross-Domain Sequential Recommendation.
  Jiangxia Cao, Xin Cong, Jiawei Sheng, Tingwen Liu, Bin Wang. In Proceedings of 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 SEKE 2022. (CCF-C)

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 ACL 2021. (CCF-A)

• Semi-Open Information Extraction.
  Bowen Yu, Zhenyu Zhang, Jiawei Sheng, Tingwen Liu, Yubin Wang, Yucheng Wang, Bin Wang. In Proceedings of 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 WWW 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 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 EMNLP 2021. (CCF-B)

• 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 EMNLP 2020. (CCF-B)