Kunyang Jia - RankMe

15 papers A* 3A 2Journal 8Unranked 2

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI. IEEE Trans. Knowl. Data Eng. 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
2022	—	`conf`	Multi-objective Meta-return Reinforcement Learning for Sequential Recommendation. CICAI (2) Yemin Yu, Kun Kuang, Jiangchao Yang, Zeke Wang, Kunyang Jia, Weiming Lu, Hongxia Yang, Fei Wu
2021	J	`jnl`	Click-through Rate Prediction with Auto-Quantized Contrastive Learning. CoRR Yujie Pan, Jiangchao Yao, Bo Han, Kunyang Jia, Ya Zhang, Hongxia Yang
2021	A*	`conf`	Device-Cloud Collaborative Learning for Recommendation. KDD Jiangchao Yao, Feng Wang, Kunyang Jia, Bo Han, Jingren Zhou, Hongxia Yang
2021	J	`jnl`	Device-Cloud Collaborative Learning for Recommendation. CoRR Jiangchao Yao, Feng Wang, Kunyang Jia, Bo Han, Jingren Zhou, Hongxia Yang
2021	J	`jnl`	Dynamic Sequential Graph Learning for Click-Through Rate Prediction. CoRR Yunfei Chu, Xiaofu Chang, Kunyang Jia, Jingzhen Zhou, Hongxia Yang
2021	J	`jnl`	Edge-Cloud Polarization and Collaboration: A Comprehensive Survey. CoRR 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
2021	J	`jnl`	Inductive Granger Causal Modeling for Multivariate Time Series. CoRR Yunfei Chu, Xiaowei Wang, Jianxin Ma, Kunyang Jia, Jingren Zhou, Hongxia Yang
2021	J	`jnl`	MC$^2$-SF: Slow-Fast Learning for Mobile-Cloud Collaborative Recommendation. CoRR Zeyuan Chen, Jiangchao Yao, Feng Wang, Kunyang Jia, Bo Han, Wei Zhang, Hongxia Yang
2020	A*	`conf`	Inductive Granger Causal Modeling for Multivariate Time Series. ICDM Yunfei Chu, Xiaowei Wang, Jianxin Ma, Kunyang Jia, Jingren Zhou, Hongxia Yang
2019	A	`conf`	Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks. CIKM Yuting Ye, Xuwu Wang, Jiangchao Yao, Kunyang Jia, Jingren Zhou, Yanghua Xiao, Hongxia Yang
2019	J	`jnl`	Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks. CoRR Yuting Ye, Xuwu Wang, Jiangchao Yao, Kunyang Jia, Jingren Zhou, Yanghua Xiao, Hongxia Yang
2019	A*	`conf`	Hierarchical Representation Learning for Bipartite Graphs. IJCAI Chong Li, Kunyang Jia, Dan Shen, Chuanjin Richard Shi, Hongxia Yang
2013	—	`conf`	UCOS: Enhanced Online Skyline Computation by User Clustering. IEEE SCC Kehan Chen, Lichuan Ji, Kunyang Jia, Jian Wu
2013	A	`conf`	iNewsBox: modeling and exploiting implicit feedback for building personalized news radio. CIKM Yanan Xie, Liang Chen, Kunyang Jia, Lichuan Ji, Jian Wu