Yu Yang

According to our database, Yu Yang authored at least 25 papers between 2020 and 2024.

Collaborative distances:

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

2024

Attention Is Not the Only Choice: Counterfactual Reasoning for Path-Based Explainable Recommendation.

Yicong Li, Xiangguo Sun, Hongxu Chen, Sixiao Zhang, Yu Yang, Guandong Xu

IEEE Trans. Knowl. Data Eng., September, 2024

Bayes-Enhanced Multi-View Attention Networks for Robust POI Recommendation.

Jiangnan Xia, Yu Yang, Senzhang Wang, Hongzhi Yin, Jiannong Cao, Philip S. Yu

IEEE Trans. Knowl. Data Eng., July, 2024

UniOcean: A Unified Framework for Predicting Multiple Ocean Factors of Varying Temporal Scales.

Hanchen Yang, Yuwei Chen, Jiannong Cao, Wengen Li, Yu Yang, Shuyu Wang, Jihong Guan, Rufu Qin, Shuigeng Zhou

IEEE Trans. Geosci. Remote. Sens., 2024

FairTP: A Prolonged Fairness Framework for Traffic Prediction.

Jiangnan Xia, Yu Yang, Jiaxing Shen, Senzhang Wang, Jiannong Cao

CoRR, 2024

From References to Insights: Collaborative Knowledge Minigraph Agents for Automating Scholarly Literature Review.

Zhi Zhang, Yan Liu, Sheng-hua Zhong, Gong Chen, Yu Yang, Jiannong Cao

CoRR, 2024

Personality Analysis from Online Short Video Platforms with Multi-domain Adaptation.

Sixu An, Xiangguo Sun, Yicong Li, Yu Yang, Guandong Xu

CoRR, 2024

Self-assessment, Exhibition, and Recognition: a Review of Personality in Large Language Models.

Zhiyuan Wen, Yu Yang, Jiannong Cao, Haoming Sun, Ruosong Yang, Shuaiqi Liu

CoRR, 2024

Affective- NLI: Towards Accurate and Interpretable Personality Recognition in Conversation.

Zhiyuan Wen, Jiannong Cao, Yu Yang, Ruosong Yang, Shuaiqi Liu

Proceedings of the IEEE International Conference on Pervasive Computing and Communications, 2024

DySarl: Dynamic Structure-Aware Representation Learning for Multimodal Knowledge Graph Reasoning.

Kangzheng Liu, Feng Zhao, Yu Yang, Guandong Xu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Toward Structure Fairness in Dynamic Graph Embedding: A Trend-aware Dual Debiasing Approach.

Yicong Li, Yu Yang, Jiannong Cao, Shuaiqi Liu, Haoran Tang, Guandong Xu

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Investigating Learning Behaviors and Intervention Effectiveness of Students with Special Educational Needs.

Xiaoyin Li, Yu Yang, Jiannong Cao, Zhen-Qun Yang, Kaile Wang, Vincent T. Y. Ng

Proceedings of the Blended Learning. Intelligent Computing in Education, 2024

STS2ANet: Spatio-Temporal Synchronized Sliding Attention Network for Accurate Cross-Day Origin-Destination Prediction.

Haoli Wang, Jiangnan Xia, Yu Yang, Senzhang Wang, Jiannong Cao

Proceedings of the Database Systems for Advanced Applications, 2024

2023

Time-Aware Dynamic Graph Embedding for Asynchronous Structural Evolution.

Yu Yang, Hongzhi Yin, Jiannong Cao, Tong Chen, Quoc Viet Hung Nguyen, Xiaofang Zhou, Lei Chen

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

DesPrompt: Personality-descriptive prompt tuning for few-shot personality recognition.

Zhiyuan Wen, Jiannong Cao, Yu Yang, Haoli Wang, Ruosong Yang, Shuaiqi Liu

Inf. Process. Manag., September, 2023

Time-Capturing Dynamic Graph Embedding for Temporal Linkage Evolution.

Yu Yang, Jiannong Cao, Milos Stojmenovic, Senzhang Wang, Yiran Cheng, Chun Lum, Zhetao Li

IEEE Trans. Knowl. Data Eng., 2023

Birds of a Feather Purchase Together: Accurate Social Network Inference using Transaction Data.

Jiaxing Shen, Yulin He, Yunfei Long, Jiaqi Wen, Yanwen Wang, Yu Yang

Proceedings of the IEEE International Conference on Data Mining, 2023

Heterogeneity-aware Cross-school Electives Recommendation: a Hybrid Federated Approach.

Chengyi Ju, Jiannong Cao, Yu Yang, Zhen-Qun Yang, Ho Man Lee

Proceedings of the IEEE International Conference on Data Mining, 2023

Weakly-Supervised Multi-action Offline Reinforcement Learning for Intelligent Dosing of Epilepsy in Children.

Zhuo Li, Yifei Shen, Ruiqing Xu, Yu Yang, Jiannong Cao, Linchun Wu, Qing Wu

Proceedings of the Database Systems for Advanced Applications, 2023

DiffUFlow: Robust Fine-grained Urban Flow Inference with Denoising Diffusion Model.

Yuhao Zheng, Lian Zhong, Senzhang Wang, Yu Yang, Weixi Gu, Junbo Zhang, Jianxin Wang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Domain Adaptive Pre-trained Model for Mushroom Image Classification.

Yifei Shen, Zhuo Li, Yu Yang, Jiaxing Shen

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2021

CityNet: A Multi-city Multi-modal Dataset for Smart City Applications.

Xu Geng, Yilun Jin, Zhengfei Zheng, Yu Yang, Yexin Li, Han Tian, Peibo Duan, Leye Wang, Jiannong Cao, Hai Yang, Qiang Yang, Kai Chen

CoRR, 2021

2020

Learning Analytics Based on Multilayer Behavior Fusion.

Yu Yang, Jiannong Cao, Jiaxing Shen, Ruosong Yang, Zhiyuan Wen

Proceedings of the Blended Learning. Education in a Smart Learning Environment, 2020

EPARS: Early Prediction of At-Risk Students with Online and Offline Learning Behaviors.

Yu Yang, Zhiyuan Wen, Jiannong Cao, Jiaxing Shen, Hongzhi Yin, Xiaofang Zhou

Proceedings of the Database Systems for Advanced Applications, 2020

BigARM: A Big-Data-Driven Airport Resource Management Engine and Application Tools.

Ka Ho Wong, Jiannong Cao, Yu Yang, Wengen Li, Jia Wang, Zhongyu Yao, Suyan Xu, Esther Ahn Chian Ku, Chun On Wong, David Leung

Proceedings of the Database Systems for Advanced Applications, 2020

Recursive Balanced k-Subset Sum Partition for Rule-constrained Resource Allocation.

Zhuo Li, Jiannong Cao, Zhongyu Yao, Wengen Li, Yu Yang, Jia Wang

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020