Yu Zheng - RankMe

46 papers A* 10A 2Journal 30Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Disentangled Interest Network for Out-of-Distribution CTR Prediction. CoRR Yu Zheng, Chen Gao, Jianxin Chang, Yanan Niu, Yang Song, Depeng Jin, Meng Wang, Yong Li
2026	J	`jnl`	Disentangled Interest Network for Out-of-Distribution CTR Prediction. ACM Trans. Inf. Syst. Yu Zheng, Chen Gao, Jianxin Chang, Yanan Niu, Yang Song, Depeng Jin, Meng Wang, Yong Li
2025	J	`jnl`	A Survey of Machine Learning for Urban Decision Making: Applications in Planning, Transportation, and Healthcare. ACM Comput. Surv. Yu Zheng, Qianyue Hao, Jingwei Wang, Changzheng Gao, Jinwei Chen, Depeng Jin, Yong Li
2025	J	`jnl`	Advancing network resilience theories with symbolized reinforcement learning. CoRR Yu Zheng, Jingtao Ding, Depeng Jin, Jianxi Gao, Yong Li
2025	—	`conf`	Artificial Intelligence for Complex Network: Potential, Methodology and Application. WWW (Companion Volume) Jingtao Ding, Yu Zheng, Huandong Wang, Carlo Vittorio Cannistraci, Jianxi Gao, Yong Li, Chuan Shi
2025	J	`jnl`	Publisher Correction: Urban planning in the era of large language models. Nat. Comput. Sci. Yu Zheng, Fengli Xu, Yuming Lin, Paolo Santi, Carlo Ratti, Qi R. Wang, Yong Li
2025	A*	`conf`	Reinforcement Learning with Adaptive Reward Modeling for Expensive-to-Evaluate Systems. ICML Hongyuan Su, Yu Zheng, Yuan Yuan, Yuming Lin, Depeng Jin, Yong Li
2025	J	`jnl`	Urban planning in the era of large language models. Nat. Comput. Sci. Yu Zheng, Fengli Xu, Yuming Lin, Paolo Santi, Carlo Ratti, Qi Wang, Yong Li
2025	J	`jnl`	UrbanPlanBench: A Comprehensive Urban Planning Benchmark for Evaluating Large Language Models. CoRR Yu Zheng, Longyi Liu, Yuming Lin, Jie Feng, Guozhen Zhang, Depeng Jin, Yong Li
2024	J	`jnl`	Artificial Intelligence for Complex Network: Potential, Methodology and Application. CoRR Jingtao Ding, Chang Liu, Yu Zheng, Yunke Zhang, Zihan Yu, Ruikun Li, Hongyi Chen, Jinghua Piao, Huandong Wang, Jiazhen Liu, Yong Li
2024	J	`jnl`	Causal Inference in Recommender Systems: A Survey and Future Directions. ACM Trans. Inf. Syst. Chen Gao, Yu Zheng, Wenjie Wang, Fuli Feng, Xiangnan He, Yong Li
2024	J	`jnl`	Deep Learning for Cross-Domain Data Fusion in Urban Computing: Taxonomy, Advances, and Outlook. CoRR Xingchen Zou, Yibo Yan, Xixuan Hao, Yuehong Hu, Haomin Wen, Erdong Liu, Junbo Zhang, Yong Li, Tianrui Li, Yu Zheng, Yuxuan Liang
2024	A	`conf`	Inverse Learning with Extremely Sparse Feedback for Recommendation. WSDM Guanyu Lin, Chen Gao, Yu Zheng, Yinfeng Li, Jianxin Chang, Yanan Niu, Yang Song, Kun Gai, Zhiheng Li, Depeng Jin, Yong Li
2024	—	`conf`	Large-scale Urban Facility Location Selection with Knowledge-informed Reinforcement Learning. SIGSPATIAL/GIS Hongyuan Su, Yu Zheng, Jingtao Ding, Depeng Jin, Yong Li
2024	J	`jnl`	Large-scale Urban Facility Location Selection with Knowledge-informed Reinforcement Learning. CoRR Hongyuan Su, Yu Zheng, Jingtao Ding, Depeng Jin, Yong Li
2024	—	`conf`	MetroGNN: Metro Network Expansion with Reinforcement Learning. WWW (Companion Volume) Hongyuan Su, Yu Zheng, Jingtao Ding, Depeng Jin, Yong Li
2024	J	`jnl`	MetroGNN: Metro Network Expansion with Reinforcement Learning. CoRR Hongyuan Su, Yu Zheng, Jingtao Ding, Depeng Jin, Yong Li
2024	A	`conf`	Mixed Attention Network for Cross-domain Sequential Recommendation. WSDM Guanyu Lin, Chen Gao, Yu Zheng, Jianxin Chang, Yanan Niu, Yang Song, Kun Gai, Zhiheng Li, Depeng Jin, Yong Li, Meng Wang
2024	—	`conf`	Rumor Mitigation in Social Media Platforms with Deep Reinforcement Learning. WWW (Companion Volume) Hongyuan Su, Yu Zheng, Jingtao Ding, Depeng Jin, Yong Li
2024	J	`jnl`	Rumor Mitigation in Social Media Platforms with Deep Reinforcement Learning. CoRR Hongyuan Su, Yu Zheng, Jingtao Ding, Depeng Jin, Yong Li
2023	J	`jnl`	A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions. Trans. Recomm. Syst. Chen Gao, Yu Zheng, Nian Li, Yinfeng Li, Yingrong Qin, Jinghua Piao, Yuhan Quan, Jianxin Chang, Depeng Jin, Xiangnan He, Yong Li
2023	A*	`conf`	Dual-interest Factorization-heads Attention for Sequential Recommendation. WWW Guanyu Lin, Chen Gao, Yu Zheng, Jianxin Chang, Yanan Niu, Yang Song, Zhiheng Li, Depeng Jin, Yong Li
2023	J	`jnl`	Dual-interest Factorization-heads Attention for Sequential Recommendation. CoRR Guanyu Lin, Chen Gao, Yu Zheng, Jianxin Chang, Yanan Niu, Yang Song, Zhiheng Li, Depeng Jin, Yong Li
2023	J	`jnl`	Incorporating Price into Recommendation With Graph Convolutional Networks. IEEE Trans. Knowl. Data Eng. Yu Zheng, Chen Gao, Xiangnan He, Depeng Jin, Yong Li
2023	J	`jnl`	Inverse Learning with Extremely Sparse Feedback for Recommendation. CoRR Guanyu Lin, Chen Gao, Yu Zheng, Yinfeng Li, Jianxin Chang, Yanan Niu, Yang Song, Kun Gai, Zhiheng Li, Depeng Jin, Yong Li
2023	J	`jnl`	Mixed Attention Network for Cross-domain Sequential Recommendation. CoRR Guanyu Lin, Chen Gao, Yu Zheng, Jianxin Chang, Yanan Niu, Yang Song, Kun Gai, Zhiheng Li, Depeng Jin, Yong Li, Meng Wang
2023	A*	`conf`	Road Planning for Slums via Deep Reinforcement Learning. KDD Yu Zheng, Hongyuan Su, Jingtao Ding, Depeng Jin, Yong Li
2023	J	`jnl`	Road Planning for Slums via Deep Reinforcement Learning. CoRR Yu Zheng, Hongyuan Su, Jingtao Ding, Depeng Jin, Yong Li
2023	J	`jnl`	Spatial planning of urban communities via deep reinforcement learning. Nat. Comput. Sci. Yu Zheng, Yuming Lin, Liang Zhao, Tinghai Wu, Depeng Jin, Yong Li
2022	J	`jnl`	Causal Inference in Recommender Systems: A Survey and Future Directions. CoRR Chen Gao, Yu Zheng, Wenjie Wang, Fuli Feng, Xiangnan He, Yong Li
2022	A*	`conf`	DVR: Micro-Video Recommendation Optimizing Watch-Time-Gain under Duration Bias. ACM Multimedia Yu Zheng, Chen Gao, Jingtao Ding, Lingling Yi, Depeng Jin, Yong Li, Meng Wang
2022	J	`jnl`	DVR: Micro-Video Recommendation Optimizing Watch-Time-Gain under Duration Bias. CoRR Yu Zheng, Chen Gao, Jingtao Ding, Lingling Yi, Depeng Jin, Yong Li, Meng Wang
2022	A*	`conf`	Disentangling Long and Short-Term Interests for Recommendation. WWW Yu Zheng, Chen Gao, Jianxin Chang, Yanan Niu, Yang Song, Depeng Jin, Yong Li
2022	J	`jnl`	Disentangling Long and Short-Term Interests for Recommendation. CoRR Yu Zheng, Chen Gao, Jianxin Chang, Yanan Niu, Yang Song, Depeng Jin, Yong Li
2022	J	`jnl`	Dual Contrastive Network for Sequential Recommendation with User and Item-Centric Perspectives. CoRR Guanyu Lin, Chen Gao, Yinfeng Li, Yu Zheng, Zhiheng Li, Depeng Jin, Yong Li
2022	A*	`conf`	Dual Contrastive Network for Sequential Recommendation. SIGIR Guanyu Lin, Chen Gao, Yinfeng Li, Yu Zheng, Zhiheng Li, Depeng Jin, Yong Li
2021	J	`jnl`	Bringing Friends into the Loop of Recommender Systems: An Exploratory Study. Proc. ACM Hum. Comput. Interact. Jinghua Piao, Guozhen Zhang, Fengli Xu, Zhilong Chen, Yu Zheng, Chen Gao, Yong Li
2021	A*	`conf`	DGCN: Diversified Recommendation with Graph Convolutional Networks. WWW Yu Zheng, Chen Gao, Liang Chen, Depeng Jin, Yong Li
2021	J	`jnl`	DGCN: Diversified Recommendation with Graph Convolutional Networks. CoRR Yu Zheng, Chen Gao, Liang Chen, Depeng Jin, Yong Li
2021	A*	`conf`	Disentangling User Interest and Conformity for Recommendation with Causal Embedding. WWW Yu Zheng, Chen Gao, Xiang Li, Xiangnan He, Yong Li, Depeng Jin
2021	J	`jnl`	Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions. CoRR Chen Gao, Yu Zheng, Nian Li, Yinfeng Li, Yingrong Qin, Jinghua Piao, Yuhan Quan, Jianxin Chang, Depeng Jin, Xiangnan He, Yong Li
2021	A*	`conf`	Sequential Recommendation with Graph Neural Networks. SIGIR Jianxin Chang, Chen Gao, Yu Zheng, Yiqun Hui, Yanan Niu, Yang Song, Depeng Jin, Yong Li
2021	J	`jnl`	Sequential Recommendation with Graph Neural Networks. CoRR Jianxin Chang, Chen Gao, Yu Zheng, Yiqun Hui, Yanan Niu, Yang Song, Depeng Jin, Yong Li
2020	J	`jnl`	Disentangling User Interest and Popularity Bias for Recommendation with Causal Embedding. CoRR Yu Zheng, Chen Gao, Xiang Li, Xiangnan He, Yong Li, Depeng Jin
2020	A*	`conf`	Price-aware Recommendation with Graph Convolutional Networks. ICDE Yu Zheng, Chen Gao, Xiangnan He, Yong Li, Depeng Jin
2020	J	`jnl`	Price-aware Recommendation with Graph Convolutional Networks. CoRR Yu Zheng, Chen Gao, Xiangnan He, Yong Li, Depeng Jin