Chenxiao Yang - RankMe

43 papers A* 17A 3B 1Journal 21Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Recursive Models for Long-Horizon Reasoning. CoRR Chenxiao Yang, Nathan Srebro, Zhiyuan Li
2025	—	`conf`	ASF-Net: A Lightweight Network for Panoptic Segmentation with Adjacent Scale Feature Fusion. BDICN Chunfeng Yang, Linyuan Qi, Chenxiao Yang, Longyu Shi, Qiang Tang, Lixiang Tan
2025	A*	`conf`	Chain-of-Thought Provably Enables Learning the (Otherwise) Unlearnable. ICLR Chenxiao Yang, Zhiyuan Li, David Wipf
2025	J	`jnl`	Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner. CoRR Cai Zhou, Chenxiao Yang, Yi Hu, Chenyu Wang, Chubin Zhang, Muhan Zhang, Lester Mackey, Tommi S. Jaakkola, Stephen Bates, Dinghuai Zhang
2025	J	`jnl`	Let it Calm: Exploratory Annealed Decoding for Verifiable Reinforcement Learning. CoRR Chenghao Yang, Lin Gui, Chenxiao Yang, Victor Veitch, Lizhu Zhang, Zhuokai Zhao
2025	J	`jnl`	On Powerful Ways to Generate: Autoregression, Diffusion, and Beyond. CoRR Chenxiao Yang, Cai Zhou, David Wipf, Zhiyuan Li
2025	A*	`conf`	PENCIL: Long Thoughts with Short Memory. ICML Chenxiao Yang, Nathan Srebro, David McAllester, Zhiyuan Li
2025	J	`jnl`	PENCIL: Long Thoughts with Short Memory. CoRR Chenxiao Yang, Nathan Srebro, David McAllester, Zhiyuan Li
2025	A*	`conf`	Supercharging Graph Transformers with Advective Diffusion. ICML Qitian Wu, Chenxiao Yang, Kaipeng Zeng, Michael M. Bronstein
2024	A*	`conf`	GeoMix: Towards Geometry-Aware Data Augmentation. KDD Wentao Zhao, Qitian Wu, Chenxiao Yang, Junchi Yan
2024	J	`jnl`	GeoMix: Towards Geometry-Aware Data Augmentation. CoRR Wentao Zhao, Qitian Wu, Chenxiao Yang, Junchi Yan
2024	A*	`conf`	Graph Out-of-Distribution Generalization via Causal Intervention. WWW Qitian Wu, Fan Nie, Chenxiao Yang, Tianyi Bao, Junchi Yan
2024	J	`jnl`	Graph Out-of-Distribution Generalization via Causal Intervention. CoRR Qitian Wu, Fan Nie, Chenxiao Yang, Tianyi Bao, Junchi Yan
2024	A*	`conf`	How Graph Neural Networks Learn: Lessons from Training Dynamics. ICML Chenxiao Yang, Qitian Wu, David Wipf, Ruoyu Sun, Junchi Yan
2024	A	`conf`	InfoMLP: Unlocking the Potential of MLPs for Semi-Supervised Learning with Structured Data. CIKM Hengrui Zhang, Qitian Wu, Chenxiao Yang, Philip S. Yu
2024	A*	`conf`	Learning Divergence Fields for Shift-Robust Graph Representations. ICML Qitian Wu, Fan Nie, Chenxiao Yang, Junchi Yan
2024	J	`jnl`	Learning Divergence Fields for Shift-Robust Graph Representations. CoRR Qitian Wu, Fan Nie, Chenxiao Yang, Junchi Yan
2023	J	`jnl`	Advective Diffusion Transformers for Topological Generalization in Graph Learning. CoRR Qitian Wu, Chenxiao Yang, Kaipeng Zeng, Fan Nie, Michael M. Bronstein, Junchi Yan
2023	A*	`conf`	DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion. ICLR Qitian Wu, Chenxiao Yang, Wentao Zhao, Yixuan He, David Wipf, Junchi Yan
2023	J	`jnl`	DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion. CoRR Qitian Wu, Chenxiao Yang, Wentao Zhao, Yixuan He, David Wipf, Junchi Yan
2023	A*	`conf`	Energy-based Out-of-Distribution Detection for Graph Neural Networks. ICLR Qitian Wu, Yiting Chen, Chenxiao Yang, Junchi Yan
2023	J	`jnl`	Energy-based Out-of-Distribution Detection for Graph Neural Networks. CoRR Qitian Wu, Yiting Chen, Chenxiao Yang, Junchi Yan
2023	A*	`conf`	Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs. ICLR Chenxiao Yang, Qitian Wu, Jiahua Wang, Junchi Yan
2023	A*	`conf`	GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks. KDD Wentao Zhao, Qitian Wu, Chenxiao Yang, Junchi Yan
2023	J	`jnl`	GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks. CoRR Wentao Zhao, Qitian Wu, Chenxiao Yang, Junchi Yan
2023	J	`jnl`	How Graph Neural Networks Learn: Lessons from Training Dynamics in Function Space. CoRR Chenxiao Yang, Qitian Wu, David Wipf, Ruoyu Sun, Junchi Yan
2023	A*	`conf`	Simplifying and Empowering Transformers for Large-Graph Representations. NeurIPS Qitian Wu, Wentao Zhao, Chenxiao Yang, Hengrui Zhang, Fan Nie, Haitian Jiang, Yatao Bian, Junchi Yan
2023	J	`jnl`	Simplifying and Empowering Transformers for Large-Graph Representations. CoRR Qitian Wu, Wentao Zhao, Chenxiao Yang, Hengrui Zhang, Fan Nie, Haitian Jiang, Yatao Bian, Junchi Yan
2022	J	`jnl`	A Chaotic Image Encryption Scheme Based on Genetic Central Dogma and KMP Method. Int. J. Bifurc. Chaos Yuwen Sha, Sun Bo, Chenxiao Yang, Jun Mou, Hadi Jahanshahi
2022	A*	`conf`	Cross-Task Knowledge Distillation in Multi-Task Recommendation. AAAI Chenxiao Yang, Junwei Pan, Xiaofeng Gao, Tingyu Jiang, Dapeng Liu, Guihai Chen
2022	J	`jnl`	Cross-Task Knowledge Distillation in Multi-Task Recommendation. CoRR Chenxiao Yang, Junwei Pan, Xiaofeng Gao, Tingyu Jiang, Dapeng Liu, Guihai Chen
2022	A*	`conf`	Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks. NeurIPS Chenxiao Yang, Qitian Wu, Junchi Yan
2022	J	`jnl`	Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks. CoRR Chenxiao Yang, Qitian Wu, Junchi Yan
2022	J	`jnl`	Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs. CoRR Chenxiao Yang, Qitian Wu, Jiahua Wang, Junchi Yan
2022	A*	`conf`	Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment. NeurIPS Chenxiao Yang, Qitian Wu, Qingsong Wen, Zhiqiang Zhou, Liang Sun, Junchi Yan
2022	J	`jnl`	Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment. CoRR Chenxiao Yang, Qitian Wu, Qingsong Wen, Zhiqiang Zhou, Liang Sun, Junchi Yan
2022	A*	`conf`	Trading Hard Negatives and True Negatives: A Debiased Contrastive Collaborative Filtering Approach. IJCAI Chenxiao Yang, Qitian Wu, Jipeng Jin, Xiaofeng Gao, Junwei Pan, Guihai Chen
2022	J	`jnl`	Trading Hard Negatives and True Negatives: A Debiased Contrastive Collaborative Filtering Approach. CoRR Chenxiao Yang, Qitian Wu, Jipeng Jin, Xiaofeng Gao, Junwei Pan, Guihai Chen
2021	A	`conf`	MatTrip: Multi-functional Attention-based Neural Network for Semantic Travel Route Recommendation. ICWS Chenxiao Yang, Jiale Zhang, Xiaofeng Gao, Guihai Chen
2021	A	`conf`	Seq2Bubbles: Region-Based Embedding Learning for User Behaviors in Sequential Recommenders. CIKM Qitian Wu, Chenxiao Yang, Shuodian Yu, Xiaofeng Gao, Guihai Chen
2021	A*	`conf`	Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach. NeurIPS Qitian Wu, Chenxiao Yang, Junchi Yan
2021	J	`jnl`	Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach. CoRR Qitian Wu, Chenxiao Yang, Junchi Yan
2006	B	`conf`	A Strategy of Merging Branches Based on Margin Enlargement of SVM in Decision Tree Induction. SMC Chenxiao Yang, Xizhao Wang, Ruixian Zhu