Yu Yang

Orcid: 0000-0001-9354-3909

Affiliations:
  • Education University of Hong Kong, Centre for Learning, Teaching, and Technology, Hong Kong
  • The Hong Kong Polytechnic University, Department of Computing, Hong Kong (PhD 2021)


According to our database1, Yu Yang authored at least 53 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Collaborative Imputation of Urban Time Series Through Cross-City Meta-Learning.
IEEE Trans. Knowl. Data Eng., February, 2026

FedRD: Reducing Divergences for Generalized Federated Learning via Heterogeneity-aware Parameter Guidance.
CoRR, January, 2026

FedCCA: Client-Centric Adaptation against Data Heterogeneity in Federated Learning on IoT Devices.
CoRR, January, 2026

NL2Filter: A Robust CNN Design for Visual Services Over Cloud and Device.
IEEE Trans. Serv. Comput., 2026

DyMRL: Dynamic Multispace Representation Learning for Multimodal Event Forecasting in Knowledge Graph.
Proceedings of the ACM Web Conference 2026, 2026

Belief-Driven Multi-Agent Collaboration via Approximate Perfect Bayesian Equilibrium for Social Simulation.
Proceedings of the ACM Web Conference 2026, 2026

Continuous Vision-Language-Action Co-Learning with Semantic-Physical Alignment for Behavioral Cloning.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Behavior Merging Graph Convolution Network for Multi-Behavior Recommendation.
IEEE Trans. Knowl. Data Eng., December, 2025

Towards Robust and Interpretable Spatial-Temporal Graph Modeling for Traffic Prediction.
ACM Trans. Knowl. Discov. Data, November, 2025

Fairness-Aware Incentive Mechanism for Multi-Server Federated Learning in Edge-Enabled Wireless Networks With Differential Privacy.
IEEE Trans. Mob. Comput., October, 2025

Multistage Graph Convolutional Network With Spatial Attention for Multivariate Time Series Imputation.
IEEE Trans. Neural Networks Learn. Syst., July, 2025

Predicting Student Dropout Risk With A Dual-Modal Abrupt Behavioral Changes Approach.
CoRR, May, 2025

Modeling Behavior Change for Multi-model At-Risk Students Early Prediction (extended version).
CoRR, March, 2025

Data-Efficient Model for Psychological Resilience Prediction based on Neurological Data.
CoRR, February, 2025

LLM-based Collaborative Agents with Pedagogy-guided Interaction Modeling for Timely Instructive Feedback Generation in Task-oriented Group Discussions.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Learning a Universal Crime Predictor with Knowledge-Guided Hypernetworks.
Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

DO: An Efficient Deep Reinforcement Learning Approach for Optimal Route with Collective Spatial Keywords.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

ReCareer: Hybrid Graph Neural Networks for Post-Career-Break Job Recommendation.
Proceedings of the Behavioural and Social Computing - 12th International Conference, 2025

Framework for Diverse Depression Patients Roleplaying and Cognitive Diagnosis of Scales Using LLMs Based on CoT Prompts.
Proceedings of the Behavioural and Social Computing - 12th International Conference, 2025

GenAI-Empowered Virtual Micro-teaching Training System for Preservice Teachers.
Proceedings of the Behavioural and Social Computing - 12th International Conference, 2025

Predicting Career Trajectories After Career Breaks: A Data-Driven Analysis Using LinkedIn Profiles.
Proceedings of the Behavioural and Social Computing - 12th International Conference, 2025

AgentLesson: LLM-Based Multi-agent System for Educational Lesson Plan Generation.
Proceedings of the Behavioural and Social Computing - 12th International Conference, 2025

SGSimEval: A Comprehensive Multifaceted and Similarity-Enhanced Benchmark for Automatic Survey Generation Systems.
Proceedings of the Advanced Data Mining and Applications - 21st International Conference, 2025

Mixture of Knowledge Minigraph Agents for Literature Review Generation.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

FairTP: A Prolonged Fairness Framework for Traffic Prediction.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Attention Is Not the Only Choice: Counterfactual Reasoning for Path-Based Explainable Recommendation.
IEEE Trans. Knowl. Data Eng., September, 2024

Bayes-Enhanced Multi-View Attention Networks for Robust POI Recommendation.
IEEE Trans. Knowl. Data Eng., July, 2024

Reliability-Aware Proactive Offloading in Mobile Edge Computing Using Stackelberg Game Approach.
IEEE Internet Things J., May, 2024

UniOcean: A Unified Framework for Predicting Multiple Ocean Factors of Varying Temporal Scales.
IEEE Trans. Geosci. Remote. Sens., 2024

From References to Insights: Collaborative Knowledge Minigraph Agents for Automating Scholarly Literature Review.
CoRR, 2024

Personality Analysis from Online Short Video Platforms with Multi-domain Adaptation.
CoRR, 2024

Self-assessment, Exhibition, and Recognition: a Review of Personality in Large Language Models.
CoRR, 2024

Affective- NLI: Towards Accurate and Interpretable Personality Recognition in Conversation.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications, 2024

DySarl: Dynamic Structure-Aware Representation Learning for Multimodal Knowledge Graph Reasoning.
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.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Jointly Trajectory Representation Learning on Road Network and Semantics using On-road IoT Data.
Proceedings of the 30th IEEE International Conference on Parallel and Distributed Systems, 2024

Investigating Learning Behaviors and Intervention Effectiveness of Students with Special Educational Needs.
Proceedings of the Blended Learning. Intelligent Computing in Education, 2024

STS2ANet: Spatio-Temporal Synchronized Sliding Attention Network for Accurate Cross-Day Origin-Destination Prediction.
Proceedings of the Database Systems for Advanced Applications, 2024

Efficient Shortest Time Query in Public Transportation Networks.
Proceedings of the Advanced Data Mining and Applications - 20th International Conference, 2024

Graph Neural Patching for Cold-Start Recommendations.
Proceedings of the Databases Theory and Applications, 2024

2023
Time-Aware Dynamic Graph Embedding for Asynchronous Structural Evolution.
IEEE Trans. Knowl. Data Eng., September, 2023

DesPrompt: Personality-descriptive prompt tuning for few-shot personality recognition.
Inf. Process. Manag., September, 2023

Time-Capturing Dynamic Graph Embedding for Temporal Linkage Evolution.
IEEE Trans. Knowl. Data Eng., 2023

Birds of a Feather Purchase Together: Accurate Social Network Inference using Transaction Data.
Proceedings of the IEEE International Conference on Data Mining, 2023

Heterogeneity-aware Cross-school Electives Recommendation: a Hybrid Federated Approach.
Proceedings of the IEEE International Conference on Data Mining, 2023

Weakly-Supervised Multi-action Offline Reinforcement Learning for Intelligent Dosing of Epilepsy in Children.
Proceedings of the Database Systems for Advanced Applications, 2023

DiffUFlow: Robust Fine-grained Urban Flow Inference with Denoising Diffusion Model.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Domain Adaptive Pre-trained Model for Mushroom Image Classification.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2021
CityNet: A Multi-city Multi-modal Dataset for Smart City Applications.
CoRR, 2021

2020
Learning Analytics Based on Multilayer Behavior Fusion.
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.
Proceedings of the Database Systems for Advanced Applications, 2020

BigARM: A Big-Data-Driven Airport Resource Management Engine and Application Tools.
Proceedings of the Database Systems for Advanced Applications, 2020

Recursive Balanced k-Subset Sum Partition for Rule-constrained Resource Allocation.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020


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