Jiangxia Cao

According to our database, Jiangxia Cao authored at least 25 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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., 2024

Cross-Domain Sequential Recommendation via Neural Process.

Haipeng Li, Jiangxia Cao, Yiwen Gao, Yunhuai Liu, Shuchao Pang

CoRR, 2024

A Unified Framework for Cross-Domain Recommendation.

Jiangxia Cao, Shen Wang, Gaode Chen, Rui Huang, Shuang Yang, Zhaojie Liu, Guorui Zhou

CoRR, 2024

Moment&Cross: Next-Generation Real-Time Cross-Domain CTR Prediction for Live-Streaming Recommendation at Kuaishou.

Jiangxia Cao, Shen Wang, Yue Li, Shenghui Wang, Jian Tang, Shiyao Wang, Shuang Yang, Zhaojie Liu, Guorui Zhou

CoRR, 2024

HoME: Hierarchy of Multi-Gate Experts for Multi-Task Learning at Kuaishou.

Xu Wang, Jiangxia Cao, Zhiyi Fu, Kun Gai, Guorui Zhou

CoRR, 2024

CDRNP: Cross-Domain Recommendation to Cold-Start Users via Neural Process.

Xiaodong Li, Jiawei Sheng, Jiangxia Cao, Wenyuan Zhang, Quangang Li, Tingwen Liu

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

A Multi-modal Modeling Framework for Cold-start Short-video Recommendation.

Gaode Chen, Ruina Sun, Yuezihan Jiang, Jiangxia Cao, Qi Zhang, Jingjian Lin, Han Li, Kun Gai, Xinghua Zhang

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Enhancing Content-based Recommendation via Large Language Model.

Wentao Xu, Qianqian Xie, Shuo Yang, Jiangxia Cao, Shuchao Pang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Disentangled Representations Learning for Multi-target Cross-domain Recommendation.

Xiaobo Guo, Shaoshuai Li, Naicheng Guo, Jiangxia Cao, Xiaolei Liu, Qiongxu Ma, Runsheng Gan, Yunan Zhao

ACM Trans. Inf. Syst., October, 2023

ID-MixGCL: Identity Mixup for Graph Contrastive Learning.

Gehang Zhang, Bowen Yu, Jiangxia Cao, Xinghua Zhang, Tingwen Liu, Chuan Zhou

CoRR, 2023

Towards Universal Cross-Domain Recommendation.

Jiangxia Cao, Shaoshuai Li, Bowen Yu, Xiaobo Guo, Tingwen Liu, Bin Wang

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Representation and Labeling Gap Bridging for Cross-lingual Named Entity Recognition.

Xinghua Zhang, Bowen Yu, Jiangxia Cao, Quangang Li, Xuebin Wang, Tingwen Liu, Hongbo Xu

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

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

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

ID-MixGCL: Identity Mixup for Graph Contrastive Learning.

Gehang Zhang, Bowen Yu, Jiangxia Cao, Xinghua Zhang, Jiawei Sheng, Chuan Zhou, Tingwen Liu

Proceedings of the IEEE International Conference on Big Data, 2023

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, Hongbo Xu

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation.

Jiangxia Cao, Xixun Lin, Xin Cong, Jing Ya, Tingwen Liu, Bin Wang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Item Similarity Mining for Multi-Market Recommendation.

Jiangxia Cao, Xin Cong, Tingwen Liu, Bin Wang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck.

Jiangxia Cao, Jiawei Sheng, Xin Cong, Tingwen Liu, Bin Wang

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Contrastive Cross-Domain Sequential Recommendation.

Jiangxia Cao, Xin Cong, Jiawei Sheng, Tingwen Liu, Bin Wang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Enhancing Chinese Pre-trained Language Model via Heterogeneous Linguistics Graph.

Yanzeng Li, Jiangxia Cao, Xin Cong, Zhenyu Zhang, Bowen Yu, Hongsong Zhu, Tingwen Liu

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Bipartite Graph Embedding via Mutual Information Maximization.

Jiangxia Cao, Xixun Lin, Shu Guo, Luchen Liu, Tingwen Liu, Bin Wang

Proceedings of the WSDM '21, 2021

Heterogeneous Graph Neural Networks for Query-focused Summarization.

Jing Ya, Tingwen Liu, Jiangxia Cao, Li Guo

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Deep Structural Point Process for Learning Temporal Interaction Networks.

Jiangxia Cao, Xixun Lin, Xin Cong, Shu Guo, Hengzhu Tang, Tingwen Liu, Bin Wang

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Disentangled Deep Multivariate Hawkes Process for Learning Event Sequences.

Xixun Lin, Jiangxia Cao, Peng Zhang, Chuan Zhou, Zhao Li, Jia Wu, Bin Wang

Proceedings of the IEEE International Conference on Data Mining, 2021

2020

HIN: Hierarchical Inference Network for Document-Level Relation Extraction.

Hengzhu Tang, Yanan Cao, Zhenyu Zhang, Jiangxia Cao, Fang Fang, Shi Wang, Pengfei Yin

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020