Kunyang Jia

According to our database, Kunyang Jia authored at least 12 papers between 2013 and 2023.

Collaborative distances:

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

2023

Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI.

Jiangchao Yao, Shengyu Zhang, Yang Yao, Feng Wang, Jianxin Ma, Jianwei Zhang, Yunfei Chu, Luo Ji, Kunyang Jia, Tao Shen, Anpeng Wu, Fengda Zhang, Ziqi Tan, Kun Kuang, Chao Wu, Fei Wu, Jingren Zhou, Hongxia Yang

IEEE Trans. Knowl. Data Eng., July, 2023

2022

Multi-objective Meta-return Reinforcement Learning for Sequential Recommendation.

Yemin Yu, Kun Kuang, Jiangchao Yang, Zeke Wang, Kunyang Jia, Weiming Lu, Hongxia Yang, Fei Wu

Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

2021

Edge-Cloud Polarization and Collaboration: A Comprehensive Survey.

Jiangchao Yao, Shengyu Zhang, Yang Yao, Feng Wang, Jianxin Ma, Jianwei Zhang, Yunfei Chu, Luo Ji, Kunyang Jia, Tao Shen, Anpeng Wu, Fengda Zhang, Ziqi Tan, Kun Kuang, Chao Wu, Fei Wu, Jingren Zhou, Hongxia Yang

CoRR, 2021

Click-through Rate Prediction with Auto-Quantized Contrastive Learning.

Yujie Pan, Jiangchao Yao, Bo Han, Kunyang Jia, Ya Zhang, Hongxia Yang

CoRR, 2021

Dynamic Sequential Graph Learning for Click-Through Rate Prediction.

Yunfei Chu, Xiaofu Chang, Kunyang Jia, Jingzhen Zhou, Hongxia Yang

CoRR, 2021

MC$^2$-SF: Slow-Fast Learning for Mobile-Cloud Collaborative Recommendation.

Zeyuan Chen, Jiangchao Yao, Feng Wang, Kunyang Jia, Bo Han, Wei Zhang, Hongxia Yang

CoRR, 2021

Device-Cloud Collaborative Learning for Recommendation.

Jiangchao Yao, Feng Wang, Kunyang Jia, Bo Han, Jingren Zhou, Hongxia Yang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Inductive Granger Causal Modeling for Multivariate Time Series.

Yunfei Chu, Xiaowei Wang, Jianxin Ma, Kunyang Jia, Jingren Zhou, Hongxia Yang

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019

Hierarchical Representation Learning for Bipartite Graphs.

Chong Li, Kunyang Jia, Dan Shen, C.-J. Richard Shi, Hongxia Yang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks.

Yuting Ye, Xuwu Wang, Jiangchao Yao, Kunyang Jia, Jingren Zhou, Yanghua Xiao, Hongxia Yang

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2013

iNewsBox: modeling and exploiting implicit feedback for building personalized news radio.

Yanan Xie, Liang Chen, Kunyang Jia, Lichuan Ji, Jian Wu

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

UCOS: Enhanced Online Skyline Computation by User Clustering.

Kehan Chen, Lichuan Ji, Kunyang Jia, Jian Wu

Proceedings of the 2013 IEEE International Conference on Services Computing, Santa Clara, CA, USA, June 28, 2013