Jiangxia Cao

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 27

Top Topics

Event Sequences

Information Bottleneck

Relation Extraction

Top Venues

Publications

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 (2024)
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)
Xiaodong Li, Jiawei Sheng, Jiangxia Cao, Wenyuan Zhang, Quangang Li, Tingwen Liu
CDRNP: Cross-Domain Recommendation to Cold-Start Users via Neural Process. CoRR (2024)
Wentao Xu, Qianqian Xie, Shuo Yang, Jiangxia Cao, Shuchao Pang
Enhancing Content-based Recommendation via Large Language Model. CoRR (2024)
Jiangxia Cao, Xin Cong, Jiawei Sheng, Tingwen Liu, Bin Wang
Contrastive Cross-Domain Sequential Recommendation. CoRR (2023)
Gehang Zhang, Bowen Yu, Jiangxia Cao, Xinghua Zhang, Jiawei Sheng, Chuan Zhou, Tingwen Liu
ID-MixGCL: Identity Mixup for Graph Contrastive Learning. BigData (2023)
Gehang Zhang, Bowen Yu, Jiangxia Cao, Xinghua Zhang, Tingwen Liu, Chuan Zhou
ID-MixGCL: Identity Mixup for Graph Contrastive Learning. CoRR (2023)
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 (2023)
Xinghua Zhang, Bowen Yu, Jiangxia Cao, Quangang Li, Xuebin Wang, Tingwen Liu, Hongbo Xu
Representation and Labeling Gap Bridging for Cross-lingual Named Entity Recognition. SIGIR (2023)
Jiangxia Cao, Shaoshuai Li, Bowen Yu, Xiaobo Guo, Tingwen Liu, Bin Wang
Towards Universal Cross-Domain Recommendation. WSDM (2023)
Xiaobo Guo, Shaoshuai Li, Naicheng Guo, Jiangxia Cao, Xiaolei Liu, Qiongxu Ma, Runsheng Gan, Yunan Zhao
Disentangled Representations Learning for Multi-target Cross-domain Recommendation. ACM Trans. Inf. Syst. 41 (4) (2023)
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)
Jiangxia Cao, Jiawei Sheng, Xin Cong, Tingwen Liu, Bin Wang
Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck. CoRR (2022)
Jiangxia Cao, Xin Cong, Tingwen Liu, Bin Wang
Item Similarity Mining for Multi-Market Recommendation. SIGIR (2022)
Jiangxia Cao, Jiawei Sheng, Xin Cong, Tingwen Liu, Bin Wang
Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck. ICDE (2022)
Yanzeng Li, Jiangxia Cao, Xin Cong, Zhenyu Zhang, Bowen Yu, Hongsong Zhu, Tingwen Liu
Enhancing Chinese Pre-trained Language Model via Heterogeneous Linguistics Graph. ACL (1) (2022)
Jiangxia Cao, Xin Cong, Jiawei Sheng, Tingwen Liu, Bin Wang
Contrastive Cross-Domain Sequential Recommendation. CIKM (2022)
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)
Jiangxia Cao, Xixun Lin, Xin Cong, Jing Ya, Tingwen Liu, Bin Wang
DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation. SIGIR (2022)
Jiangxia Cao, Xixun Lin, Xin Cong, Shu Guo, Hengzhu Tang, Tingwen Liu, Bin Wang
Deep Structural Point Process for Learning Temporal Interaction Networks. ECML/PKDD (1) (2021)
Jiangxia Cao, Xixun Lin, Xin Cong, Shu Guo, Hengzhu Tang, Tingwen Liu, Bin Wang
Deep Structural Point Process for Learning Temporal Interaction Networks. CoRR (2021)
Jing Ya, Tingwen Liu, Jiangxia Cao, Li Guo
Heterogeneous Graph Neural Networks for Query-focused Summarization. SDM (2021)
Jiangxia Cao, Xixun Lin, Shu Guo, Luchen Liu, Tingwen Liu, Bin Wang
Bipartite Graph Embedding via Mutual Information Maximization. WSDM (2021)
Xixun Lin, Jiangxia Cao, Peng Zhang, Chuan Zhou, Zhao Li, Jia Wu, Bin Wang
Disentangled Deep Multivariate Hawkes Process for Learning Event Sequences. ICDM (2021)
Jiangxia Cao, Xixun Lin, Shu Guo, Luchen Liu, Tingwen Liu, Bin Wang
Bipartite Graph Embedding via Mutual Information Maximization. CoRR (2020)
Hengzhu Tang, Yanan Cao, Zhenyu Zhang, Jiangxia Cao, Fang Fang, Shi Wang, Pengfei Yin
HIN: Hierarchical Inference Network for Document-Level Relation Extraction. CoRR (2020)
Hengzhu Tang, Yanan Cao, Zhenyu Zhang, Jiangxia Cao, Fang Fang, Shi Wang, Pengfei Yin
HIN: Hierarchical Inference Network for Document-Level Relation Extraction. PAKDD (1) (2020)