Jiangxia Cao

According to our database, Jiangxia Cao authored at least 55 papers between 2020 and 2026.

Collaborative distances:

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

2026

Rethinking Token-Level Policy Optimization for Multimodal Chain-of-Thought.

Yunheng Li, Hangyi Kuang, Hengrui Zhang, Jiangxia Cao, Zhaojie Liu, Qibin Hou, Ming-Ming Cheng

CoRR, March, 2026

From Agnostic to Specific: Latent Preference Diffusion for Multi-Behavior Sequential Recommendation.

Ruochen Yang, Xiaodong Li, Jiawei Sheng, Jiangxia Cao, Xilin Chen, Shen Wang, Shuang Yang, Zhaojie Liu, Tingwen Liu

CoRR, February, 2026

MaRI: Accelerating Ranking Model Inference via Structural Re-parameterization in Large Scale Recommendation System.

Yusheng Huang, Pengbo Xu, Shen Wang, Changxin Lao, Jiangxia Cao, Shuang Wen, Shuang Yang, Zhaojie Liu, Han Li, Kun Gai

CoRR, February, 2026

CREM: Compression-Driven Representation Enhancement for Multimodal Retrieval and Comprehension.

Lihao Liu, Yan Wang, Biao Yang, Da Li, Jiangxia Cao, Yuxiao Luo, Xilin Chen, Xiangyu Wu, Wei Yuan, Fan Yang, Guiguang Ding, Tingting Gao, Guorui Zhou

CoRR, February, 2026

Kelix Technical Report.

Boyang Ding, Chenglong Chu, Dunju Zang, Han Li, Jiangxia Cao, Kun Gai, Muhao Wei, Ruiming Tang, Shiyao Wang, Siyang Mao, Xinchen Luo, Yahui Liu, Zhixin Ling, Zhuoran Yang, Ziming Li, Chengru Song, Guorui Zhou, Guowang Zhang, Hao Peng, Hao Wang, Jiaxin Deng, Jin Ouyang, Jinghao Zhang, Lejian Ren, Qianqian Wang, Qigen Hu, Tao Wang, Xing-wei Wang, Yiping Yang, Zixing Zhang, Ziqi Wang

CoRR, February, 2026

SARM: LLM-Augmented Semantic Anchor for End-to-End Live-Streaming Ranking.

Ruochen Yang, Yueyang Liu, Zijie Zhuang, Changxin Lao, Yuhui Zhang, Jiangxia Cao, Xu Jia, Xiang Chen, Haoke Xiao, Xiangyu Wu, Xiaoyou Zhou, Xiao Lv, Shuang Yang, Tingwen Liu, Zhaojie Liu, Han Li, Kun Gai

CoRR, February, 2026

OneLive: Dynamically Unified Generative Framework for Live-Streaming Recommendation.

Shen Wang, Yusheng Huang, Ruochen Yang, Shuang Wen, Pengbo Xu, Jiangxia Cao, Yueyang Liu, Kuo Cai, Chengcheng Guo, Shiyao Wang, Xinchen Luo, Qiang Luo, Ruiming Tang, Shuang Yang, Zhaojie Liu, Guorui Zhou, Han Li, Kun Gai

CoRR, February, 2026

QARM V2: Quantitative Alignment Multi-Modal Recommendation for Reasoning User Sequence Modeling.

Tian Xia, Jiaqi Zhang, Yueyang Liu, Hongjian Dou, Tingya Yin, Jiangxia Cao, Xulei Liang, Tianlu Xie, Lihao Liu, Xiang Chen, Shen Wang, Changxin Lao, Haixiang Gan, Jinkai Yu, Keting Cen, Lu Hao, Xu Zhang, Qiqiang Zhong, Zhongbo Sun, Yiyu Wang, Shuang Yang, Mingxin Wen, Xiangyu Wu, Shaoguo Liu, Tingting Gao, Zhaojie Liu, Han Li, Kun Gai

CoRR, February, 2026

OneMall: One Architecture, More Scenarios - End-to-End Generative Recommender Family at Kuaishou E-Commerce.

Kun Zhang, Jingming Zhang, Wei Cheng, Yansong Cheng, Jiaqi Zhang, Hao Lu, Xu Zhang, Haixiang Gan, Jiangxia Cao, Tenglong Wang, Ximing Zhang, Boyang Xia, Kuo Cai, Shiyao Wang, Hongjian Dou, Jinkai Yu, Mingxing Wen, Qiang Luo, Dongxu Liang, Chenyi Lei, Jun Wang, Runan Liu, Zhaojie Liu, Ruiming Tang, Tingting Gao, Shaoguo Liu, Yuqing Ding, Hui Kong, Han Li, Guorui Zhou, Wenwu Ou, Kun Gai

CoRR, January, 2026

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

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

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

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

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

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

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

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

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

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025

OnePiece: The Great Route to Generative Recommendation - A Case Study from Tencent Algorithm Competition.

Jiangxia Cao, Shuo Yang, Zijun Wang, Qinghai Tan

CoRR, December, 2025

Kwai Keye-VL 1.5 Technical Report.

Biao Yang, Bin Wen, Boyang Ding, Changyi Liu, Chenglong Chu, Chengru Song, Chongling Rao, Chuan Yi, Da Li, Dunju Zang, Fan Yang, Guorui Zhou, Guowang Zhang, Han Shen, Hao Peng, Haojie Ding, Hao Wang, Haonan Fan, Hengrui Ju, Jiaming Huang, Jiangxia Cao, Jiankang Chen, Jingyun Hua, Kaibing Chen, Kaiyu Jiang, Kaiyu Tang, Kun Gai, Muhao Wei, Qiang Wang, Ruitao Wang, Sen Na, Shengnan Zhang, Siyang Mao, Sui Huang, Tianke Zhang, Tingting Gao, Wei Chen, Wei Yuan, Xiangyu Wu, Xiao Hu, Xingyu Lu, Yifan Zhang, Yiping Yang, Yulong Chen, Zeyi Lu, Zhenhua Wu, Zhixin Ling, Zhuoran Yang, Ziming Li, Di Xu, Haixuan Gao, Hang Li, Jing Wang, Lejian Ren, Qigen Hu, Qianqian Wang, Shiyao Wang, Xinchen Luo, Yan Li, Yuhang Hu, Zixing Zhang

CoRR, September, 2025

Kwai Keye-VL Technical Report.

Kwai Keye Team, Biao Yang, Bin Wen, Changyi Liu, Chenglong Chu, Chengru Song, Chongling Rao, Chuan Yi, Da Li, Dunju Zang, Fan Yang, Guorui Zhou, Hao Peng, Haojie Ding, Jiaming Huang, Jiangxia Cao, Jiankang Chen, Jingyun Hua, Jin Ouyang, Kaibing Chen, Kaiyu Jiang, Kaiyu Tang, Kun Gai, Shengnan Zhang, Siyang Mao, Sui Huang, Tianke Zhang, Tingting Gao, Wei Chen, Wei Yuan, Xiangyu Wu, Xiao Hu, Xingyu Lu, Yang Zhou, Yifan Zhang, Yiping Yang, Yulong Chen, Zhenhua Wu, Zhenyu Li, Zhixin Ling, Ziming Li, Dehua Ma, Di Xu, Haixuan Gao, Hang Li, Jiawei Guo, Jing Wang, Lejian Ren, Muhao Wei, Qianqian Wang, Qigen Hu, Shiyao Wang, Tao Yu, Xinchen Luo, Yan Li, Yiming Liang, Yuhang Hu, Zeyi Lu, Zhuoran Yang, Zixing Zhang

CoRR, July, 2025

RecCoT: Enhancing Recommendation via Chain-of-Thought.

Shuo Yang, Jiangxia Cao, Haipeng Li, Yuqi Mao, Shuchao Pang

CoRR, June, 2025

LLM-Alignment Live-Streaming Recommendation.

Yueyang Liu, Jiangxia Cao, Shen Wang, Shuang Wen, Xiang Chen, Xiangyu Wu, Shuang Yang, Zhaojie Liu, Kun Gai, Guorui Zhou

CoRR, April, 2025

Federated Mixture-of-Expert for Non-Overlapped Cross-Domain Sequential Recommendation.

Yu Liu, Hanbin Jiang, Lei Zhu, Yu Zhang, Yuqi Mao, Jiangxia Cao, Shuchao Pang

CoRR, March, 2025

LiveForesighter: Generating Future Information for Live-Streaming Recommendations at Kuaishou.

Yucheng Lu, Jiangxia Cao, Xu Kuan, Wei Cheng, Wei Jiang, Jiaming Zhang, Shuang Yang, Zhaojie Liu, Liyin Hong

CoRR, February, 2025

CDSRNP: Cross-Domain Sequential Recommendation via Neural Process.

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

Proceedings of the 2025 SIAM International Conference on Data Mining, 2025

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

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

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

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

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

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

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

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

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

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

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

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

CRM: Retrieval Model with Controllable Condition.

Chi Liu, Jiangxia Cao, Rui Huang, Kuo Cai, Weifeng Ding, Qiang Luo, Kun Gai, Guorui Zhou

CoRR, 2024

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, Kun Gai, Guorui Zhou

CoRR, 2024

KuaiFormer: Transformer-Based Retrieval at Kuaishou.

Chi Liu, Jiangxia Cao, Rui Huang, Kai Zheng, Qiang Luo, Kun Gai, Guorui Zhou

CoRR, 2024

MARM: Unlocking the Future of Recommendation Systems through Memory Augmentation and Scalable Complexity.

Xiao Lv, Jiangxia Cao, Shijie Guan, Xiaoyou Zhou, Zhiguang Qi, Yaqiang Zang, Ming Li, Ben Wang, Kun Gai, Guorui Zhou

CoRR, 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

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