Zhang, Chuxu

50 publications

NeurIPS 2025 AutoData: A Multi-Agent System for Open Web Data Collection Tianyi Ma, Yiyue Qian, Zheyuan Zhang, Zehong Wang, Xiaoye Qian, Feifan Bai, Yifan Ding, Xuwei Luo, Shinan Zhang, Keerthiram Murugesan, Chuxu Zhang, Yanfang Ye

ICML 2025 Beyond Message Passing: Neural Graph Pattern Machine Zehong Wang, Zheyuan Zhang, Tianyi Ma, Nitesh V Chawla, Chuxu Zhang, Yanfang Ye

NeurIPS 2025 Generative Graph Pattern Machine Zehong Wang, Zheyuan Zhang, Tianyi Ma, Chuxu Zhang, Yanfang Ye

TMLR 2025 Generative Risk Minimization for Out-of-Distribution Generalization on Graphs Song Wang, Zhen Tan, Yaochen Zhu, Chuxu Zhang, Jundong Li

IJCAI 2025 Graph Neural Networks for Databases: A Survey Ziming Li, Youhuan Li, Yuyu Luo, Guoliang Li, Chuxu Zhang

NeurIPS 2025 GraphTOP: Graph Topology-Oriented Prompting for Graph Neural Networks Xingbo Fu, Zhenyu Lei, Zihan Chen, Binchi Zhang, Chuxu Zhang, Jundong Li

TMLR 2025 Instance-Aware Graph Prompt Learning Jiazheng Li, Jundong Li, Chuxu Zhang

ICML 2025 MASS: Mathematical Data Selection via Skill Graphs for Pretraining Large Language Models Jiazheng Li, Lu Yu, Qing Cui, Zhiqiang Zhang, Jun Zhou, Yanfang Ye, Chuxu Zhang

ICML 2025 Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees Zehong Wang, Zheyuan Zhang, Tianyi Ma, Nitesh V Chawla, Chuxu Zhang, Yanfang Ye

ICML 2024 From Coarse to Fine: Enable Comprehensive Graph Self-Supervised Learning with Multi-Granular Semantic Ensemble Qianlong Wen, Mingxuan Ju, Zhongyu Ouyang, Chuxu Zhang, Yanfang Ye

UAI 2024 GCVR: Reconstruction from Cross-View Enable Sufficient and Robust Graph Contrastive Learning Qianlong Wen, Zhongyu Ouyang, Chunhui Zhang, Yiyue Qian, Chuxu Zhang, Yanfang Ye

NeurIPS 2024 GFT: Graph Foundation Model with Transferable Tree Vocabulary Zehong Wang, Zheyuan Zhang, Nitesh V Chawla, Chuxu Zhang, Yanfang Ye

ICLR 2024 Mitigating Emergent Robustness Degradation While Scaling Graph Learning Xiangchi Yuan, Chunhui Zhang, Yijun Tian, Yanfang Ye, Chuxu Zhang

IJCAI 2024 Subgraph Pooling: Tackling Negative Transfer on Graphs Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye

ECML-PKDD 2024 Symbolic Prompt Tuning Completes the App Promotion Graph Zhongyu Ouyang, Chunhui Zhang, Shifu Hou, Shang Ma, Chaoran Chen, Toby Li, Xusheng Xiao, Chuxu Zhang, Yanfang Ye

ICMLW 2023 A Head Start Matters: Dynamic-Calibrated Representation Alignment and Uniformity for Recommendations Zhongyu Ouyang, Shifu Hou, Chunhui Zhang, Chuxu Zhang, Yanfang Ye

AAAI 2023 Boosting Graph Neural Networks via Adaptive Knowledge Distillation Zhichun Guo, Chunhui Zhang, Yujie Fan, Yijun Tian, Chuxu Zhang, Nitesh V. Chawla

ICLR 2023 Chasing All-Round Graph Representation Robustness: Model, Training, and Optimization Chunhui Zhang, Yijun Tian, Mingxuan Ju, Zheyuan Liu, Yanfang Ye, Nitesh Chawla, Chuxu Zhang

AAAI 2023 Cross-Domain Few-Shot Graph Classification with a Reinforced Task Coordinator Qiannan Zhang, Shichao Pei, Qiang Yang, Chuxu Zhang, Nitesh V. Chawla, Xiangliang Zhang

IJCAI 2023 Graph-Based Molecular Representation Learning Zhichun Guo, Kehan Guo, Bozhao Nan, Yijun Tian, Roshni G. Iyer, Yihong Ma, Olaf Wiest, Xiangliang Zhang, Wei Wang, Chuxu Zhang, Nitesh V. Chawla

AAAI 2023 Heterogeneous Graph Masked Autoencoders Yijun Tian, Kaiwen Dong, Chunhui Zhang, Chuxu Zhang, Nitesh V. Chawla

ICLR 2023 Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency Yijun Tian, Chuxu Zhang, Zhichun Guo, Xiangliang Zhang, Nitesh Chawla

AAAI 2023 Let Graph Be the Go Board: Gradient-Free Node Injection Attack for Graph Neural Networks via Reinforcement Learning Mingxuan Ju, Yujie Fan, Chuxu Zhang, Yanfang Ye

TMLR 2023 Mind the Gap: Mitigating the Distribution Gap in Graph Few-Shot Learning Chunhui Zhang, Hongfu Liu, Jundong Li, Yanfang Ye, Chuxu Zhang

ICLR 2023 Multi-Task Self-Supervised Graph Neural Networks Enable Stronger Task Generalization Mingxuan Ju, Tong Zhao, Qianlong Wen, Wenhao Yu, Neil Shah, Yanfang Ye, Chuxu Zhang

ICMLW 2023 Navigating Graph Robust Learning Against All-Intensity Attacks Xiangchi Yuan, Chunhui Zhang, Yijun Tian, Chuxu Zhang

NeurIPSW 2023 Prompt Learning Unlocked for App Promotion in the Wild Zhongyu Ouyang, Shifu Hou, Shang Ma, Chaoran Chen, Chunhui Zhang, Toby Li, Xusheng Xiao, Chuxu Zhang, Yanfang Ye

AAAI 2023 Towards Societal Impact of AI Chuxu Zhang

ICML 2023 When Sparsity Meets Contrastive Models: Less Graph Data Can Bring Better Class-Balanced Representations Chunhui Zhang, Chao Huang, Yijun Tian, Qianlong Wen, Zhongyu Ouyang, Youhuan Li, Yanfang Ye, Chuxu Zhang

NeurIPS 2022 Co-Modality Graph Contrastive Learning for Imbalanced Node Classification Yiyue Qian, Chunhui Zhang, Yiming Zhang, Qianlong Wen, Yanfang Ye, Chuxu Zhang

NeurIPSW 2022 Contrastive Graph Few-Shot Learning Chunhui Zhang, Hongfu Liu, Jundong Li, Yanfang Ye, Chuxu Zhang

NeurIPSW 2022 Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph Representation Learning Chunhui Zhang, Chao Huang, Yijun Tian, Qianlong Wen, Zhongyu Ouyang, Youhuan Li, Yanfang Ye, Chuxu Zhang

IJCAI 2022 Few-Shot Learning on Graphs Chuxu Zhang, Kaize Ding, Jundong Li, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla, Huan Liu

NeurIPSW 2022 Graph Contrastive Learning with Cross-View Reconstruction Qianlong Wen, Zhongyu Ouyang, Chunhui Zhang, Yiyue Qian, Yanfang Ye, Chuxu Zhang

NeurIPS 2022 Label-Invariant Augmentation for Semi-Supervised Graph Classification Han Yue, Chunhui Zhang, Chuxu Zhang, Hongfu Liu

NeurIPSW 2022 NOSMOG: Learning Noise-Robust and Structure-Aware MLPs on Graphs Yijun Tian, Chuxu Zhang, Zhichun Guo, Xiangliang Zhang, Nitesh Chawla

IJCAI 2022 Recipe2Vec: Multi-Modal Recipe Representation Learning with Graph Neural Networks Yijun Tian, Chuxu Zhang, Zhichun Guo, Yihong Ma, Ronald A. Metoyer, Nitesh V. Chawla

IJCAI 2022 RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation Yijun Tian, Chuxu Zhang, Zhichun Guo, Chao Huang, Ronald A. Metoyer, Nitesh V. Chawla

IJCAI 2022 Rx-Refill Graph Neural Network to Reduce Drug Overprescribing Risks (Extended Abstract) Jianfei Zhang, Ai-Te Kuo, Jianan Zhao, Qianlong Wen, Erin L. Winstanley, Chuxu Zhang, Yanfang Ye

AAAI 2022 SAIL: Self-Augmented Graph Contrastive Learning Lu Yu, Shichao Pei, Lizhong Ding, Jun Zhou, Longfei Li, Chuxu Zhang, Xiangliang Zhang

IJCAI 2021 Adapting Meta Knowledge with Heterogeneous Information Network for COVID-19 Themed Malicious Repository Detection Yiyue Qian, Yiming Zhang, Yanfang Ye, Chuxu Zhang

NeurIPS 2021 Distilling Meta Knowledge on Heterogeneous Graph for Illicit Drug Trafficker Detection on Social Media Yiyue Qian, Yiming Zhang, Yanfang (Fa Ye, Chuxu Zhang

ECML-PKDD 2021 Multi-View Self-Supervised Heterogeneous Graph Embedding Jianan Zhao, Qianlong Wen, Shiyu Sun, Yanfang Ye, Chuxu Zhang

IJCAI 2020 Cross-Interaction Hierarchical Attention Networks for Urban Anomaly Prediction Chao Huang, Chuxu Zhang, Peng Dai, Liefeng Bo

AAAI 2020 Few-Shot Knowledge Graph Completion Chuxu Zhang, Huaxiu Yao, Chao Huang, Meng Jiang, Zhenhui Li, Nitesh V. Chawla

AAAI 2020 Graph Few-Shot Learning via Knowledge Transfer Huaxiu Yao, Chuxu Zhang, Ying Wei, Meng Jiang, Suhang Wang, Junzhou Huang, Nitesh V. Chawla, Zhenhui Li

AAAI 2019 A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data Chuxu Zhang, Dongjin Song, Yuncong Chen, Xinyang Feng, Cristian Lumezanu, Wei Cheng, Jingchao Ni, Bo Zong, Haifeng Chen, Nitesh V. Chawla

AAAI 2019 Multi-Order Attentive Ranking Model for Sequential Recommendation Lu Yu, Chuxu Zhang, Shangsong Liang, Xiangliang Zhang

IJCAI 2018 Task-Guided and Semantic-Aware Ranking for Academic Author-Paper Correlation Inference Chuxu Zhang, Lu Yu, Xiangliang Zhang, Nitesh V. Chawla

AAAI 2018 WalkRanker: A Unified Pairwise Ranking Model with Multiple Relations for Item Recommendation Lu Yu, Chuxu Zhang, Shichao Pei, Guolei Sun, Xiangliang Zhang