Chenxiao Yang

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 30

Top Topics

Graph Representations

Structure Learning Algorithm

Top Venues

Publications

Wentao Zhao, Qitian Wu, Chenxiao Yang, Junchi Yan
GeoMix: Towards Geometry-Aware Data Augmentation. CoRR (2024)
Qitian Wu, Fan Nie, Chenxiao Yang, Junchi Yan
Learning Divergence Fields for Shift-Robust Graph Representations. CoRR (2024)
Qitian Wu, Fan Nie, Chenxiao Yang, Tianyi Bao, Junchi Yan
Graph Out-of-Distribution Generalization via Causal Intervention. CoRR (2024)
Wentao Zhao, Qitian Wu, Chenxiao Yang, Junchi Yan
GeoMix: Towards Geometry-Aware Data Augmentation. KDD (2024)
Qitian Wu, Fan Nie, Chenxiao Yang, Tianyi Bao, Junchi Yan
Graph Out-of-Distribution Generalization via Causal Intervention. WWW (2024)
Qitian Wu, Chenxiao Yang, Wentao Zhao, Yixuan He, David Wipf, Junchi Yan
DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion. ICLR (2023)
Wentao Zhao, Qitian Wu, Chenxiao Yang, Junchi Yan
GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks. CoRR (2023)
Qitian Wu, Wentao Zhao, Chenxiao Yang, Hengrui Zhang, Fan Nie, Haitian Jiang, Yatao Bian, Junchi Yan
Simplifying and Empowering Transformers for Large-Graph Representations. CoRR (2023)
Wentao Zhao, Qitian Wu, Chenxiao Yang, Junchi Yan
GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks. KDD (2023)
Qitian Wu, Chenxiao Yang, Kaipeng Zeng, Fan Nie, Michael Bronstein, Junchi Yan
Advective Diffusion Transformers for Topological Generalization in Graph Learning. CoRR (2023)
Qitian Wu, Yiting Chen, Chenxiao Yang, Junchi Yan
Energy-based Out-of-Distribution Detection for Graph Neural Networks. ICLR (2023)
Qitian Wu, Chenxiao Yang, Wentao Zhao, Yixuan He, David Wipf, Junchi Yan
DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion. CoRR (2023)
Chenxiao Yang, Qitian Wu, Jiahua Wang, Junchi Yan
Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs. ICLR (2023)
Chenxiao Yang, Qitian Wu, David Wipf, Ruoyu Sun, Junchi Yan
How Graph Neural Networks Learn: Lessons from Training Dynamics in Function Space. CoRR (2023)
Qitian Wu, Yiting Chen, Chenxiao Yang, Junchi Yan
Energy-based Out-of-Distribution Detection for Graph Neural Networks. CoRR (2023)
Qitian Wu, Wentao Zhao, Chenxiao Yang, Hengrui Zhang, Fan Nie, Haitian Jiang, Yatao Bian, Junchi Yan
Simplifying and Empowering Transformers for Large-Graph Representations. NeurIPS (2023)
Chenxiao Yang, Qitian Wu, Junchi Yan
Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks. NeurIPS (2022)
Chenxiao Yang, Junwei Pan, Xiaofeng Gao, Tingyu Jiang, Dapeng Liu, Guihai Chen
Cross-Task Knowledge Distillation in Multi-Task Recommendation. AAAI (2022)
Chenxiao Yang, Qitian Wu, Jiahua Wang, Junchi Yan
Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs. CoRR (2022)
Chenxiao Yang, Qitian Wu, Qingsong Wen, Zhiqiang Zhou, Liang Sun, Junchi Yan
Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment. NeurIPS (2022)
Yuwen Sha, Sun Bo, Chenxiao Yang, Jun Mou, Hadi Jahanshahi
A Chaotic Image Encryption Scheme Based on Genetic Central Dogma and KMP Method. Int. J. Bifurc. Chaos 32 (12) (2022)
Chenxiao Yang, Qitian Wu, Jipeng Jin, Xiaofeng Gao, Junwei Pan, Guihai Chen
Trading Hard Negatives and True Negatives: A Debiased Contrastive Collaborative Filtering Approach. CoRR (2022)
Chenxiao Yang, Qitian Wu, Jipeng Jin, Xiaofeng Gao, Junwei Pan, Guihai Chen
Trading Hard Negatives and True Negatives: A Debiased Contrastive Collaborative Filtering Approach. IJCAI (2022)
Chenxiao Yang, Junwei Pan, Xiaofeng Gao, Tingyu Jiang, Dapeng Liu, Guihai Chen
Cross-Task Knowledge Distillation in Multi-Task Recommendation. CoRR (2022)
Chenxiao Yang, Qitian Wu, Qingsong Wen, Zhiqiang Zhou, Liang Sun, Junchi Yan
Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment. CoRR (2022)
Chenxiao Yang, Qitian Wu, Junchi Yan
Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks. CoRR (2022)
Qitian Wu, Chenxiao Yang, Junchi Yan
Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach. NeurIPS (2021)
Qitian Wu, Chenxiao Yang, Shuodian Yu, Xiaofeng Gao, Guihai Chen
Seq2Bubbles: Region-Based Embedding Learning for User Behaviors in Sequential Recommenders. CIKM (2021)
Chenxiao Yang, Jiale Zhang, Xiaofeng Gao, Guihai Chen
MatTrip: Multi-functional Attention-based Neural Network for Semantic Travel Route Recommendation. ICWS (2021)
Qitian Wu, Chenxiao Yang, Junchi Yan
Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach. CoRR (2021)
Chenxiao Yang, Xizhao Wang, Ruixian Zhu
A Strategy of Merging Branches Based on Margin Enlargement of SVM in Decision Tree Induction. SMC (2006)