Kuo Yang

Orcid: 0000-0003-3346-5130

Affiliations:
  • University of Science and Technology of China, Hefei, China


According to our database1, Kuo Yang authored at least 26 papers between 2023 and 2025.

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

2025
Soft causal learning for generalized molecule property prediction: An environment modeling perspective.
Knowl. Inf. Syst., December, 2025

ComS2T: A Complementary Spatiotemporal Learning System for Data-Adaptive Model Evolution.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2025

AgentAsk: Multi-Agent Systems Need to Ask.
CoRR, October, 2025

QuiZSF: An efficient data-model interaction framework for zero-shot time-series forecasting.
CoRR, August, 2025

RayE-Sub: Countering Subgraph Degradation via Perfect Reconstruction.
IEEE Trans. Knowl. Data Eng., June, 2025

MasHost Builds It All: Autonomous Multi-Agent System Directed by Reinforcement Learning.
CoRR, June, 2025

FairSTG: Countering Performance Heterogeneity via Collaborative Sample-Level Optimization.
IEEE Trans. Mob. Comput., May, 2025

Soft causal learning for generalized molecule property prediction: An environment perspective.
CoRR, May, 2025

FedSTG: Breaking through Spatio-Temporal Data Silos with Federated Graph Learning.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Exploiting Language Power for Time Series Forecasting with Exogenous Variables.
Proceedings of the ACM on Web Conference 2025, 2025

Do We Really Need GCNs in Traffic Forecasting? A Graph-Less Pure-MLP Architecture.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Many Minds, One Goal: Time Series Forecasting via Sub-task Specialization and Inter-agent Cooperation.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Revealing Concept Shift in Spatio-Temporal Graphs via State Learning.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Enhancing Graph Invariant Learning from a Negative Inference Perspective.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

SynEVO: A neuro-inspired spatiotemporal evolutional framework for cross-domain adaptation.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

TimeBase: The Power of Minimalism in Efficient Long-term Time Series Forecasting.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Spatiotemporal Causal Decoupling Model for Air Quality Forecasting.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024
Predicting Collective Human Mobility via Countering Spatiotemporal Heterogeneity.
IEEE Trans. Mob. Comput., May, 2024

ComS2T: A complementary spatiotemporal learning system for data-adaptive model evolution.
CoRR, 2024

Improving Generalization of Dynamic Graph Learning via Environment Prompt.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

LeRet: Language-Empowered Retentive Network for Time Series Forecasting.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

EMoNet: An environment causal learning for molecule OOD generalization.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023
Towards Learning in Grey Spatiotemporal Systems: A Prophet to Non-consecutive Spatiotemporal Dynamics.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Maintaining the Status Quo: Capturing Invariant Relations for OOD Spatiotemporal Learning.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

EXTRACT and REFINE: Finding a Support Subgraph Set for Graph Representation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

GReTo: Remedying dynamic graph topology-task discordance via target homophily.
Proceedings of the Eleventh International Conference on Learning Representations, 2023


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