Chenxiao Yang

Orcid: 0009-0006-4435-8284

According to our database1, Chenxiao Yang authored at least 17 papers between 2006 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Graph Out-of-Distribution Generalization via Causal Intervention.
CoRR, 2024

2023
Advective Diffusion Transformers for Topological Generalization in Graph Learning.
CoRR, 2023

How Graph Neural Networks Learn: Lessons from Training Dynamics in Function Space.
CoRR, 2023

Simplifying and Empowering Transformers for Large-Graph Representations.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Energy-based Out-of-Distribution Detection for Graph Neural Networks.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
A Chaotic Image Encryption Scheme Based on Genetic Central Dogma and KMP Method.
Int. J. Bifurc. Chaos, 2022

Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Trading Hard Negatives and True Negatives: A Debiased Contrastive Collaborative Filtering Approach.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Cross-Task Knowledge Distillation in Multi-Task Recommendation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

MatTrip: Multi-functional Attention-based Neural Network for Semantic Travel Route Recommendation.
Proceedings of the 2021 IEEE International Conference on Web Services, 2021

Seq2Bubbles: Region-Based Embedding Learning for User Behaviors in Sequential Recommenders.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2006
A Strategy of Merging Branches Based on Margin Enlargement of SVM in Decision Tree Induction.
Proceedings of the IEEE International Conference on Systems, 2006


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