Jiangxia Cao
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
27
Venues
11
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
27 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | KDD | FARM: Frequency-Aware Model for Cross-Domain Live-Streaming Recommendation. | 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 | KDD | 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 |
| 2026 | WSDM | PushGen: Push Notifications Generation with LLM. | Shifu Bie, Jiangxia Cao, Zixiao Luo, Yichuan Zou, Lei Liang, Lu Zhang, Linxun Chen, Zhaojie Liu, Xuanping Li, Guorui Zhou, Kaiqiao Zhan, Kun Gai |
| 2026 | WSDM | Foresight Prediction Enhanced Live-Streaming Recommendation. | Jiangxia Cao, Ruochen Yang, Xiang Chen, Changxin Lao, Yueyang Liu, Yusheng Huang, Yuanhao Tian, Xiangyu Wu, Shuang Yang, Zhaojie Liu, Guorui Zhou |
| 2026 | WSDM | ChorusCVR: Chorus Supervision for Entire Space Post-Click Conversion Rate Modeling. | Wei Cheng, Yucheng Lu, Boyang Xia, Jiangxia Cao, Kuan Xu, Mingxing Wen, Wei Jiang, Jiaming Zhang, Zhaojie Liu, Liyin Hong, Kun Gai, Guorui Zhou |
| 2025 | CIKM | Pantheon: Personalized Multi-objective Ensemble Sort via Iterative Pareto Policy Optimization. | Jiangxia Cao, Pengbo Xu, Yin Cheng, Kaiwei Guo, Jian Tang, Shijun Wang, Dewei Leng, Shuang Yang, Zhaojie Liu, Yanan Niu, Guorui Zhou, Kun Gai |
| 2025 | CIKM | QARM: Quantitative Alignment Multi-Modal Recommendation at Kuaishou. | Xinchen Luo, Jiangxia Cao, Tianyu Sun, Jinkai Yu, Rui Huang, Wei Yuan, Hezheng Lin, Yichen Zheng, Shiyao Wang, Qigen Hu, Changqing Qiu, Jiaqi Zhang, Xu Zhang, Zhiheng Yan, Jingming Zhang, Simin Zhang, Mingxing Wen, Zhaojie Liu, Guorui Zhou |
| 2025 | CIKM | MARM: Unlocking the Recommendation Cache Scaling-Law through Memory Augmentation and Scalable Complexity. | Xiao Lv, Jiangxia Cao, Shijie Guan, Xiaoyou Zhou, Zhiguang Qi, Yaqiang Zang, Ben Wang, Guorui Zhou |
| 2025 | ICDE | 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 |
| 2025 | KDD | HoME: Hierarchy of Multi-Gate Experts for Multi-Task Learning at Kuaishou. | Xu Wang, Jiangxia Cao, Zhiyi Fu, Kun Gai, Guorui Zhou |
| 2025 | SDM | CDSRNP: Cross-Domain Sequential Recommendation via Neural Process. | Haipeng Li, Jiangxia Cao, Yiwen Gao, Yunhuai Liu, Shuchao Pang |
| 2024 | CIKM | Enhancing Content-based Recommendation via Large Language Model. | Wentao Xu, Qianqian Xie, Shuo Yang, Jiangxia Cao, Shuchao Pang |
| 2024 | RecSys | 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 |
| 2024 | WSDM | CDRNP: Cross-Domain Recommendation to Cold-Start Users via Neural Process. | Xiaodong Li, Jiawei Sheng, Jiangxia Cao, Wenyuan Zhang, Quangang Li, Tingwen Liu |
| 2023 | ECAI | 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 |
| 2023 | SIGIR | 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 |
| 2023 | WSDM | Towards Universal Cross-Domain Recommendation. | Jiangxia Cao, Shaoshuai Li, Bowen Yu, Xiaobo Guo, Tingwen Liu, Bin Wang |
| 2022 | ACL | Enhancing Chinese Pre-trained Language Model via Heterogeneous Linguistics Graph. | Yanzeng Li, Jiangxia Cao, Xin Cong, Zhenyu Zhang, Bowen Yu, Hongsong Zhu, Tingwen Liu |
| 2022 | CIKM | Contrastive Cross-Domain Sequential Recommendation. | Jiangxia Cao, Xin Cong, Jiawei Sheng, Tingwen Liu, Bin Wang |
| 2022 | ICDE | Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck. | Jiangxia Cao, Jiawei Sheng, Xin Cong, Tingwen Liu, Bin Wang |
| 2022 | SIGIR | Item Similarity Mining for Multi-Market Recommendation. | Jiangxia Cao, Xin Cong, Tingwen Liu, Bin Wang |
| 2022 | SIGIR | DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation. | Jiangxia Cao, Xixun Lin, Xin Cong, Jing Ya, Tingwen Liu, Bin Wang |
| 2022 | SIGIR | 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 |
| 2021 | ICDM | Disentangled Deep Multivariate Hawkes Process for Learning Event Sequences. | Xixun Lin, Jiangxia Cao, Peng Zhang, Chuan Zhou, Zhao Li, Jia Wu, Bin Wang |
| 2021 | WSDM | Bipartite Graph Embedding via Mutual Information Maximization. | Jiangxia Cao, Xixun Lin, Shu Guo, Luchen Liu, Tingwen Liu, Bin Wang |
| 2021 | SDM | Heterogeneous Graph Neural Networks for Query-focused Summarization. | Jing Ya, Tingwen Liu, Jiangxia Cao, Li Guo |
| 2020 | PAKDD | HIN: Hierarchical Inference Network for Document-Level Relation Extraction. | Hengzhu Tang, Yanan Cao, Zhenyu Zhang, Jiangxia Cao, Fang Fang, Shi Wang, Pengfei Yin |