Jiawei Sheng

84 papers A* 22A 6B 5C 1Misc 2Journal 37Unranked 11
YearRankTypeTitle / Venue / Authors
2026 A* conf
Conditional Diffusion Guided Knowledge Transfer for Multi-Domain Knowledge Graph Completion.
WWW
Jiawei Sheng, Taoyu Su, Xixun Lin, Xiaodong Li, Tingwen Liu
2026 A* conf
Expectation-Maximization Driven Contrastive Disentanglement for Generalized Category Discovery.
WWW
Weiyi Yang, Richong Zhang, Junfan Chen, Jiawei Sheng, Lihong Wang
2026 — conf
FARM: Frequency-Aware Model for Cross-Domain Live-Streaming Recommendation.
KDD (1)
Xiaodong Li, Ruochen Yang, Shuang Wen, Shen Wang, Yueyang Liu, Guoquan Wang, Weisong Hu, Qiang Luo, Jiawei Sheng, Tingwen Liu, Jiangxia Cao, Shuang Yang, Zhaojie Liu
2026 A* conf
Fashion Microscope: Pixel-Level Attribute Perception via Optimal Transport and Neural Semantic Aggregation.
AAAI
Shuili Zhang, Hongzhang Mu, Jiawei Sheng, Qianqian Tong, Wenyuan Zhang, Quangang Li, Tingwen Liu
2026 — conf
From Agnostic to Specific: Latent Preference Diffusion for Multi-Behavior Sequential Recommendation.
KDD (1)
Ruochen Yang, Xiaodong Li, Jiawei Sheng, Jiangxia Cao, Xinkui Lin, Shen Wang, Shuang Yang, Zhaojie Liu, Tingwen Liu
2026 J jnl
From Agnostic to Specific: Latent Preference Diffusion for Multi-Behavior Sequential Recommendation.
CoRR
Ruochen Yang, Xiaodong Li, Jiawei Sheng, Jiangxia Cao, Xilin Chen, Shen Wang, Shuang Yang, Zhaojie Liu, Tingwen Liu
2026 A* conf
Information-Theoretic Minimal Sufficient Representation for Multi-Domain Knowledge Graph Completion.
AAAI
Jiawei Sheng, Taoyu Su, Weiyi Yang, Linghui Wang, Yongxiu Xu, Tingwen Liu
2026 J jnl
Mixture of Universal Experts: Scaling Virtual Width via Depth-Width Transformation.
CoRR
Yilong Chen, Naibin Gu, Junyuan Shang, Zhenyu Zhang, Yuchen Feng, Jiawei Sheng, Tingwen Liu, Shuohuan Wang, Yu Sun, Hua Wu, Haifeng Wang
2026 A* conf
S
WWW
Xiaodong Li, Juwei Yue, Xinghua Zhang, Jiawei Sheng, Wenyuan Zhang, Taoyu Su, Zefeng Zhang, Tingwen Liu
2026 J jnl
S2CDR: Smoothing-Sharpening Process Model for Cross-Domain Recommendation.
CoRR
Xiaodong Li, Juwei Yue, Xinghua Zhang, Jiawei Sheng, Wenyuan Zhang, Taoyu Su, Zefeng Zhang, Tingwen Liu
2025 J jnl
A novel coarse-grained knowledge graph embedding framework for platform risk identification from relational data.
Neural Comput. Appl.
Qi Zhang, Shicheng Wang, Lihong Wang, Jiawei Sheng, Shu Guo, Chen Li, Min He, Renqiang Zhang
2025 J jnl
COOPER: A Unified Model for Cooperative Perception and Reasoning in Spatial Intelligence.
CoRR
Zefeng Zhang, Xiangzhao Hao, Hengzhu Tang, Zhenyu Zhang, Jiawei Sheng, Xiaodong Li, Zhenyang Li, Li Gao, Daiting Shi, Dawei Yin, Tingwen Liu
2025 A* conf
Calibrating Pseudo-Labeling with Class Distribution for Semi-supervised Text Classification.
EMNLP
Weiyi Yang, Richong Zhang, Junfan Chen, Jiawei Sheng
2025 A* conf
Debiasing Multimodal Large Language Models via Noise-Aware Preference Optimization.
CVPR
Zefeng Zhang, Hengzhu Tang, Jiawei Sheng, Zhenyu Zhang, Yiming Ren, Zhenyang Li, Dawei Yin, Duohe Ma, Tingwen Liu
2025 J jnl
Debiasing Multimodal Large Language Models via Noise-Aware Preference Optimization.
CoRR
Zefeng Zhang, Hengzhu Tang, Jiawei Sheng, Zhenyu Zhang, Yiming Ren, Zhenyang Li, Dawei Yin, Duohe Ma, Tingwen Liu
2025 B conf
Exploring Multi-aspect Information for Knowledge Graph Completion with Large Language Model.
IJCNN
Linghui Wang, Jiawei Sheng, Wenyuan Zhang, Tingwen Liu, Chuang Zhang
2025 — conf
Exploring Preference-Guided Diffusion Model for Cross-Domain Recommendation.
KDD (1)
Xiaodong Li, Hengzhu Tang, Jiawei Sheng, Xinghua Zhang, Li Gao, Suqi Cheng, Dawei Yin, Tingwen Liu
2025 J jnl
Exploring Preference-Guided Diffusion Model for Cross-Domain Recommendation.
CoRR
Xiaodong Li, Hengzhu Tang, Jiawei Sheng, Xinghua Zhang, Li Gao, Suqi Cheng, Dawei Yin, Tingwen Liu
2025 J jnl
FARM: Frequency-Aware Model for Cross-Domain Live-Streaming Recommendation.
CoRR
Xiaodong Li, Ruochen Yang, Shuang Wen, Shen Wang, Yueyang Liu, Guoquan Wang, Weisong Hu, Qiang Luo, Jiawei Sheng, Tingwen Liu, Jiangxia Cao, Shuang Yang, Zhaojie Liu
2025 A* conf
Graph Wave Networks.
WWW
Juwei Yue, Haikuo Li, Jiawei Sheng, Yihan Guo, Xinghua Zhang, Chuan Zhou, Tingwen Liu, Li Guo
2025 J jnl
Graph Wave Networks.
CoRR
Juwei Yue, Haikuo Li, Jiawei Sheng, Yihan Guo, Xinghua Zhang, Chuan Zhou, Tingwen Liu, Li Guo
2025 A* conf
Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations.
ICML
Juwei Yue, Haikuo Li, Jiawei Sheng, Xiaodong Li, Taoyu Su, Tingwen Liu, Li Guo
2025 J jnl
Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations.
CoRR
Juwei Yue, Haikuo Li, Jiawei Sheng, Xiaodong Li, Taoyu Su, Tingwen Liu, Li Guo
2025 A* conf
Improving Reasoning Capabilities in Small Models through Mixture-of-layers Distillation with Stepwise Attention on Key Information.
EMNLP
Yao Chen, Jiawei Sheng, Wenyuan Zhang, Tingwen Liu
2025 — conf
Inner Thinking Transformer: Leveraging Dynamic Depth Scaling to Foster Adaptive Internal Thinking.
ACL (1)
Yilong Chen, Junyuan Shang, Zhenyu Zhang, Yanxi Xie, Jiawei Sheng, Tingwen Liu, Shuohuan Wang, Yu Sun, Hua Wu, Haifeng Wang
2025 J jnl
Inner Thinking Transformer: Leveraging Dynamic Depth Scaling to Foster Adaptive Internal Thinking.
CoRR
Yilong Chen, Junyuan Shang, Zhenyu Zhang, Yanxi Xie, Jiawei Sheng, Tingwen Liu, Shuohuan Wang, Yu Sun, Hua Wu, Haifeng Wang
2025 A* conf
Mitigating Modality Bias in Multi-modal Entity Alignment from a Causal Perspective.
SIGIR
Taoyu Su, Jiawei Sheng, Duohe Ma, Xiaodong Li, Juwei Yue, Mengxiao Song, Yingkai Tang, Tingwen Liu
2025 J jnl
Mitigating Modality Bias in Multi-modal Entity Alignment from a Causal Perspective.
CoRR
Taoyu Su, Jiawei Sheng, Duohe Ma, Xiaodong Li, Juwei Yue, Mengxiao Song, Yingkai Tang, Tingwen Liu
2025 A* conf
Mixture of Hidden-Dimensions: Not All Hidden-States' Dimensions are Needed in Transformer.
ICML
Yilong Chen, Junyuan Shang, Zhenyu Zhang, Jiawei Sheng, Tingwen Liu, Shuohuan Wang, Yu Sun, Hua Wu, Haifeng Wang
2025 A* conf
Personalized Multi-Interest Modeling for Cross-Domain Recommendation to Cold-Start Users.
ICDE
Xiaodong Li, Jiawei Sheng, Jiangxia Cao, Xinghua Zhang, Wenyuan Zhang, Yong Sun, Shirui Pan, Zhihong Tian, Tingwen Liu
2025 J jnl
RCEAE: A Role Correlation-enhanced Model for Event Argument Extraction.
Neurocomputing
Yiming Hei, Jiawei Sheng, Shu Guo, Lihong Wang, Qian Li, Jianwei Liu, Yizhong Liu, Prayag Tiwari
2025 A* conf
Revealing and Mitigating the Challenge of Detecting Character Knowledge Errors in LLM Role-Playing.
EMNLP
Wenyuan Zhang, Shuaiyi Nie, Jiawei Sheng, Zefeng Zhang, Xinghua Zhang, Yongquan He, Tingwen Liu
2025 Misc conf
Translational Generative Retrieval via Potential Query Generation.
ICASSP
Yihan Guo, Tingwen Liu, Jiawei Sheng, Duohe Ma, Ming Sun, Ling Tian
2024 J jnl
A Survey on Deep Learning Event Extraction: Approaches and Applications.
IEEE Trans. Neural Networks Learn. Syst.
Qian Li, Jianxin Li, Jiawei Sheng, Shiyao Cui, Jia Wu, Yiming Hei, Hao Peng, Shu Guo, Lihong Wang, Amin Beheshti, Philip S. Yu
2024 — conf
Amethod based on network formulaology and network pharmacology for analyzing the correlation and synergy patterns in the compatibility of Traditional Chinese medicine formulas/prescriptions.
BIBM
Shiyu Ma, Lin Zheng, Weijie Lin, Jiawei Sheng, Fazhong He, Xiaolan Bian
2024 B conf
Authenticated Decentralized Identifier Retrieval for Blockchain-based Web 3.0.
GLOBECOM
Jiawei Sheng, Jiamin Deng, Shang Gao, Huawei Huang, Zhe Peng
2024 A conf
CDRNP: Cross-Domain Recommendation to Cold-Start Users via Neural Process.
WSDM
Xiaodong Li, Jiawei Sheng, Jiangxia Cao, Wenyuan Zhang, Quangang Li, Tingwen Liu
2024 J jnl
Decomposition and recombination. A soft cascade model for event detection.
Knowl. Based Syst.
Yiming Hei, Jiawei Sheng, Lihong Wang, Qian Li, Shu Guo, Jianwei Liu
2024 J jnl
Enhancing Multimodal Entity and Relation Extraction With Variational Information Bottleneck.
IEEE ACM Trans. Audio Speech Lang. Process.
Shiyao Cui, Jiangxia Cao, Xin Cong, Jiawei Sheng, Quangang Li, Tingwen Liu, Jinqiao Shi
2024 A* conf
Exogenous and Endogenous Data Augmentation for Low-Resource Complex Named Entity Recognition.
SIGIR
Xinghua Zhang, Gaode Chen, Shiyao Cui, Jiawei Sheng, Tingwen Liu, Hongbo Xu
2024 A* conf
IBMEA: Exploring Variational Information Bottleneck for Multi-modal Entity Alignment.
ACM Multimedia
Taoyu Su, Jiawei Sheng, Shicheng Wang, Xinghua Zhang, Hongbo Xu, Tingwen Liu
2024 J jnl
IBMEA: Exploring Variational Information Bottleneck for Multi-modal Entity Alignment.
CoRR
Taoyu Su, Jiawei Sheng, Shicheng Wang, Xinghua Zhang, Hongbo Xu, Tingwen Liu
2024 J jnl
Label graph augmented soft cascade decoding model for overlapping event extraction.
Int. J. Mach. Learn. Cybern.
Yiming Hei, Lihong Wang, Jiawei Sheng, Jianwei Liu, Qian Li, Shu Guo
2024 A conf
LoginMEA: Local-to-Global Interaction Network for Multi-Modal Entity Alignment.
ECAI
Taoyu Su, Xinghua Zhang, Jiawei Sheng, Zhenyu Zhang, Tingwen Liu
2024 J jnl
LoginMEA: Local-to-Global Interaction Network for Multi-modal Entity Alignment.
CoRR
Taoyu Su, Xinghua Zhang, Jiawei Sheng, Zhenyu Zhang, Tingwen Liu
2024 A conf
MSKR: Advancing Multi-modal Structured Knowledge Representation with Synergistic Hard Negative Samples.
CIKM
Shuili Zhang, Hongzhang Mu, Tingwen Liu, Qianqian Tong, Jiawei Sheng
2024 J jnl
Mixture of Hidden-Dimensions Transformer.
CoRR
Yilong Chen, Junyuan Shang, Zhengyu Zhang, Jiawei Sheng, Tingwen Liu, Shuohuan Wang, Yu Sun, Hua Wu, Haifeng Wang
2024 Misc conf
Noise-Disentangled Graph Contrastive Learning via Low-Rank and Sparse Subspace Decomposition.
ICASSP
Gehang Zhang, Jiawei Sheng, Shicheng Wang, Tingwen Liu
2024 — conf
Optimal Transport Guided Correlation Assignment for Multimodal Entity Linking.
ACL (Findings)
Zefeng Zhang, Jiawei Sheng, Chuang Zhang, Liangyunzhi Liangyunzhi, Wenyuan Zhang, Siqi Wang, Tingwen Liu
2024 J jnl
Optimal Transport Guided Correlation Assignment for Multimodal Entity Linking.
CoRR
Zefeng Zhang, Jiawei Sheng, Chuang Zhang, Yunzhi Liang, Wenyuan Zhang, Siqi Wang, Tingwen Liu
2024 J jnl
Revealing the Challenge of Detecting Character Knowledge Errors in LLM Role-Playing.
CoRR
Wenyuan Zhang, Jiawei Sheng, Shuaiyi Nie, Zefeng Zhang, Xinghua Zhang, Yongquan He, Tingwen Liu
2024 J jnl
Uncertainty-Aware Relational Graph Neural Network for Few-Shot Knowledge Graph Completion.
CoRR
Qian Li, Shu Guo, Yinjia Chen, Cheng Ji, Jiawei Sheng, Jianxin Li
2023 A* conf
Attribute-Consistent Knowledge Graph Representation Learning for Multi-Modal Entity Alignment.
WWW
Qian Li, Shu Guo, Yangyifei Luo, Cheng Ji, Lihong Wang, Jiawei Sheng, Jianxin Li
2023 J jnl
Attribute-Consistent Knowledge Graph Representation Learning for Multi-Modal Entity Alignment.
CoRR
Qian Li, Shu Guo, Yangyifei Luo, Cheng Ji, Lihong Wang, Jiawei Sheng, Jianxin Li
2023 J jnl
Contrastive Cross-Domain Sequential Recommendation.
CoRR
Jiangxia Cao, Xin Cong, Jiawei Sheng, Tingwen Liu, Bin Wang
2023 J jnl
Enhancing Multimodal Entity and Relation Extraction with Variational Information Bottleneck.
CoRR
Shiyao Cui, Jiangxia Cao, Xin Cong, Jiawei Sheng, Quangang Li, Tingwen Liu, Jinqiao Shi
2023 J jnl
Event Causality Extraction with Event Argument Correlations.
CoRR
Shiyao Cui, Jiawei Sheng, Xin Cong, Quangang Li, Tingwen Liu, Jinqiao Shi
2023 J jnl
Event Extraction by Associating Event Types and Argument Roles.
IEEE Trans. Big Data
Qian Li, Shu Guo, Jia Wu, Jianxin Li, Jiawei Sheng, Hao Peng, Lihong Wang
2023 B conf
ID-MixGCL: Identity Mixup for Graph Contrastive Learning.
IEEE Big Data
Gehang Zhang, Bowen Yu, Jiangxia Cao, Xinghua Zhang, Jiawei Sheng, Chuan Zhou, Tingwen Liu
2023 B conf
Improving Complex Knowledge Base Question Answering with Relation-Aware Subgraph Retrieval and Reasoning Network.
IJCNN
Dan Luo, Jiawei Sheng, Hongbo Xu, Lihong Wang, Bin Wang
2023 J jnl
Prompt2Gaussia: Uncertain Prompt-learning for Script Event Prediction.
CoRR
Shiyao Cui, Xin Cong, Jiawei Sheng, Xuebin Wang, Tingwen Liu, Jinqiao Shi
2023 J jnl
Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems.
ACM Trans. Web
Qian Li, Jianxin Li, Lihong Wang, Cheng Ji, Yiming Hei, Jiawei Sheng, Qingyun Sun, Shan Xue, Pengtao Xie
2023 A conf
Uncertain Relational Hypergraph Attention Networks for Document-Level Event Factuality Identification.
ECAI
Jiawei Sheng, Xin Cong, Jiangxia Cao, Shu Guo, Chen Li, Lihong Wang, Tingwen Liu, Hongbo Xu
2022 A conf
Contrastive Cross-Domain Sequential Recommendation.
CIKM
Jiangxia Cao, Xin Cong, Jiawei Sheng, Tingwen Liu, Bin Wang
2022 A* conf
CorED: Incorporating Type-level and Instance-level Correlations for Fine-grained Event Detection.
SIGIR
Jiawei Sheng, Rui Sun, Shu Guo, Shiyao Cui, Jiangxia Cao, Lihong Wang, Tingwen Liu, Hongbo Xu
2022 A* conf
Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck.
ICDE
Jiangxia Cao, Jiawei Sheng, Xin Cong, Tingwen Liu, Bin Wang
2022 J jnl
Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck.
CoRR
Jiangxia Cao, Jiawei Sheng, Xin Cong, Tingwen Liu, Bin Wang
2022 C conf
Enhancing Pre-Trained Language Representations Based on Contrastive Learning for Unsupervised Keyphrase Extraction.
SEKE
Zhaohui Wang, Xinghua Zhang, Yanzeng Li, Yubin Wang, Jiawei Sheng, Tingwen Liu, Hongbo Xu
2022 B conf
Event Causality Extraction with Event Argument Correlations.
COLING
Shiyao Cui, Jiawei Sheng, Xin Cong, Quangang Li, Tingwen Liu, Jinqiao Shi
2022 A* conf
Relation-Guided Few-Shot Relational Triple Extraction.
SIGIR
Xin Cong, Jiawei Sheng, Shiyao Cui, Bowen Yu, Tingwen Liu, Bin Wang
2022 J jnl
Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems.
CoRR
Qian Li, Jianxin Li, Lihong Wang, Cheng Ji, Yiming Hei, Jiawei Sheng, Qingyun Sun, Shan Xue, Pengtao Xie
2021 — conf
A Dual-Classifier Model for General Fine-Grained Event Detection Task.
CCKS (Evaluation Track)
Yiming Hei, Qian Li, Caibo Zhou, Rui Sun, Jinglin Yang, Jiawei Sheng, Shu Guo, Lihong Wang
2021 J jnl
A Joint Learning Framework for the CCKS-2020 Financial Event Extraction Task.
Data Intell.
Jiawei Sheng, Qian Li, Yiming Hei, Shu Guo, Bowen Yu, Lihong Wang, Min He, Tingwen Liu, Hongbo Xu
2021 — conf
CasEE: A Joint Learning Framework with Cascade Decoding for Overlapping Event Extraction.
ACL/IJCNLP (Findings)
Jiawei Sheng, Shu Guo, Bowen Yu, Qian Li, Yiming Hei, Lihong Wang, Tingwen Liu, Hongbo Xu
2021 J jnl
CasEE: A Joint Learning Framework with Cascade Decoding for Overlapping Event Extraction.
CoRR
Jiawei Sheng, Shu Guo, Bowen Yu, Qian Li, Yiming Hei, Lihong Wang, Tingwen Liu, Hongbo Xu
2021 J jnl
Deep Learning Schema-based Event Extraction: Literature Review and Current Trends.
CoRR
Qian Li, Hao Peng, Jianxin Li, Yiming Hei, Rui Sun, Jiawei Sheng, Shu Guo, Lihong Wang, Philip S. Yu
2021 — conf
Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning.
EMNLP (Findings)
Xinghua Zhang, Bowen Yu, Tingwen Liu, Zhenyu Zhang, Jiawei Sheng, Mengge Xue, Hongbo Xu
2021 — conf
Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning.
EMNLP (1)
Xinghua Zhang, Bowen Yu, Tingwen Liu, Zhenyu Zhang, Jiawei Sheng, Mengge Xue, Hongbo Xu
2021 J jnl
Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning.
CoRR
Xinghua Zhang, Bowen Yu, Tingwen Liu, Zhenyu Zhang, Jiawei Sheng, Mengge Xue, Hongbo Xu
2021 A* conf
Multi-level Connection Enhanced Representation Learning for Script Event Prediction.
WWW
Lihong Wang, Juwei Yue, Shu Guo, Jiawei Sheng, Qianren Mao, Zhenyu Chen, Shenghai Zhong, Chen Li
2021 A* conf
Semi-Open Information Extraction.
WWW
Bowen Yu, Zhenyu Zhang, Jiawei Sheng, Tingwen Liu, Yubin Wang, Yucheng Wang, Bin Wang
2021 A conf
Two-tier Graph Contextual Embedding for Cross-device User Matching.
CIKM
Hongren Huang, Shu Guo, Chen Li, Jiawei Sheng, Lihong Wang, Jianxin Li, Jing Liu, Shenghai Zhong
2020 — conf
Adaptive Attentional Network for Few-Shot Knowledge Graph Completion.
EMNLP (1)
Jiawei Sheng, Shu Guo, Zhenyu Chen, Juwei Yue, Lihong Wang, Tingwen Liu, Hongbo Xu
2020 J jnl
Adaptive Attentional Network for Few-Shot Knowledge Graph Completion.
CoRR
Jiawei Sheng, Shu Guo, Zhenyu Chen, Juwei Yue, Lihong Wang, Tingwen Liu, Hongbo Xu