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Jiangxia Cao
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2020 – today
- 2024
- [j2]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: 1274-1285 (2024) - [c16]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: 378-386 - [i8]Wentao Xu, Qianqian Xie, Shuo Yang, Jiangxia Cao, Shuchao Pang:
Enhancing Content-based Recommendation via Large Language Model. CoRR abs/2404.00236 (2024) - 2023
- [j1]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): 85:1-85:27 (2023) - [c15]Gehang Zhang, Bowen Yu, Jiangxia Cao, Xinghua Zhang, Jiawei Sheng, Chuan Zhou, Tingwen Liu:
ID-MixGCL: Identity Mixup for Graph Contrastive Learning. IEEE Big Data 2023: 473-482 - [c14]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: 2129-2137 - [c13]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: 1230-1240 - [c12]Jiangxia Cao
, Shaoshuai Li
, Bowen Yu
, Xiaobo Guo
, Tingwen Liu
, Bin Wang
:
Towards Universal Cross-Domain Recommendation. WSDM 2023: 78-86 - [i7]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 abs/2304.02328 (2023) - [i6]Jiangxia Cao, Xin Cong, Jiawei Sheng, Tingwen Liu, Bin Wang:
Contrastive Cross-Domain Sequential Recommendation. CoRR abs/2304.03891 (2023) - [i5]Gehang Zhang, Bowen Yu, Jiangxia Cao, Xinghua Zhang, Tingwen Liu, Chuan Zhou:
ID-MixGCL: Identity Mixup for Graph Contrastive Learning. CoRR abs/2304.10045 (2023) - 2022
- [c11]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: 1986-1996 - [c10]Jiangxia Cao, Xin Cong, Jiawei Sheng, Tingwen Liu, Bin Wang:
Contrastive Cross-Domain Sequential Recommendation. CIKM 2022: 138-147 - [c9]Jiangxia Cao, Jiawei Sheng, Xin Cong, Tingwen Liu, Bin Wang:
Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck. ICDE 2022: 2209-2223 - [c8]Jiangxia Cao, Xixun Lin, Xin Cong, Jing Ya, Tingwen Liu, Bin Wang:
DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation. SIGIR 2022: 267-277 - [c7]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: 1122-1132 - [c6]Jiangxia Cao, Xin Cong, Tingwen Liu, Bin Wang:
Item Similarity Mining for Multi-Market Recommendation. SIGIR 2022: 2249-2254 - [i4]Jiangxia Cao, Jiawei Sheng, Xin Cong, Tingwen Liu, Bin Wang:
Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck. CoRR abs/2203.16863 (2022) - 2021
- [c5]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: 360-369 - [c4]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: 305-320 - [c3]Jing Ya, Tingwen Liu, Jiangxia Cao, Li Guo:
Heterogeneous Graph Neural Networks for Query-focused Summarization. SDM 2021: 720-728 - [c2]Jiangxia Cao, Xixun Lin, Shu Guo, Luchen Liu, Tingwen Liu, Bin Wang:
Bipartite Graph Embedding via Mutual Information Maximization. WSDM 2021: 635-643 - [i3]Jiangxia Cao, Xixun Lin, Xin Cong, Shu Guo, Hengzhu Tang, Tingwen Liu, Bin Wang:
Deep Structural Point Process for Learning Temporal Interaction Networks. CoRR abs/2107.03573 (2021) - 2020
- [c1]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: 197-209 - [i2]Hengzhu Tang, Yanan Cao, Zhenyu Zhang, Jiangxia Cao, Fang Fang, Shi Wang, Pengfei Yin:
HIN: Hierarchical Inference Network for Document-Level Relation Extraction. CoRR abs/2003.12754 (2020) - [i1]Jiangxia Cao, Xixun Lin, Shu Guo, Luchen Liu, Tingwen Liu, Bin Wang:
Bipartite Graph Embedding via Mutual Information Maximization. CoRR abs/2012.05442 (2020)
Coauthor Index
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