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:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Graph Out-of-Distribution Generalization via Causal Intervention.
Proceedings of the ACM on Web Conference 2024, 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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