Chuxu Zhang

ORCID

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 116

Top Venues

Publications

Xiangchi Yuan, Yijun Tian, Chunhui Zhang, Yanfang Ye, Nitesh V. Chawla, Chuxu Zhang
Graph Cross Supervised Learning via Generalized Knowledge. KDD (2024)
Zhongyu Ouyang, Chunhui Zhang, Shifu Hou, Chuxu Zhang, Yanfang Ye
How to Improve Representation Alignment and Uniformity in Graph-Based Collaborative Filtering? ICWSM (2024)
Yijun Tian, Chuxu Zhang, Ziyi Kou, Zheyuan Liu, Xiangliang Zhang, Nitesh V. Chawla
UGMAE: A Unified Framework for Graph Masked Autoencoders. CoRR (2024)
Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye
Tackling Negative Transfer on Graphs. CoRR (2024)
Zheyuan Zhang, Zehong Wang, Shifu Hou, Evan Hall, Landon Bachman, Jasmine White, Vincent Galassi, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye
Diet-ODIN: A Novel Framework for Opioid Misuse Detection with Interpretable Dietary Patterns. KDD (2024)
Yiyue Qian, Tianyi Ma, Chuxu Zhang, Yanfang Ye
Dual-level Hypergraph Contrastive Learning with Adaptive Temperature Enhancement. WWW (Companion Volume) (2024)
Song Wang, Yushun Dong, Binchi Zhang, Zihan Chen, Xingbo Fu, Yinhan He, Cong Shen, Chuxu Zhang, Nitesh V. Chawla, Jundong Li
Safety in Graph Machine Learning: Threats and Safeguards. CoRR (2024)
Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye
Graph Inference Acceleration by Learning MLPs on Graphs without Supervision. CoRR (2024)
Xiangchi Yuan, Chunhui Zhang, Yijun Tian, Yanfang Ye, Chuxu Zhang
Mitigating Emergent Robustness Degradation while Scaling Graph Learning. ICLR (2024)
Zheyuan Zhang, Zehong Wang, Shifu Hou, Evan Hall, Landon Bachman, Vincent Galassi, Jasmine White, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye
Diet-ODIN: A Novel Framework for Opioid Misuse Detection with Interpretable Dietary Patterns. CoRR (2024)
Chuxu Zhang, Dongkuan Xu, Kaize Ding, Jundong Li, Mojan Javaheripi, Subhabrata Mukherjee, Nitesh V. Chawla, Huan Liu
RelKD 2024: The Second International Workshop on Resource-Efficient Learning for Knowledge Discovery. KDD (2024)
Wei Wei, Chao Huang, Lianghao Xia, Chuxu Zhang
Multi-Modal Self-Supervised Learning for Recommendation. WWW (2023)
Zheyuan Liu, Chunhui Zhang, Yijun Tian, Erchi Zhang, Chao Huang, Yanfang Ye, Chuxu Zhang
Fair Graph Representation Learning via Diverse Mixture-of-Experts. WWW (2023)
Tianyi Ma, Yiyue Qian, Chuxu Zhang, Yanfang Ye
Hypergraph Contrastive Learning for Drug Trafficking Community Detection. ICDM (2023)
Qiang Yang, Changsheng Ma, Qiannan Zhang, Xin Gao, Chuxu Zhang, Xiangliang Zhang
Counterfactual Learning on Heterogeneous Graphs with Greedy Perturbation. KDD (2023)
Wei Wei, Chao Huang, Lianghao Xia, Chuxu Zhang
Multi-Modal Self-Supervised Learning for Recommendation. CoRR (2023)
Zhichun Guo, Kehan Guo, Bozhao Nan, Yijun Tian, Roshni G. Iyer, Yihong Ma, Olaf Wiest, Xiangliang Zhang, Wei Wang, Chuxu Zhang, Nitesh V. Chawla
Graph-based Molecular Representation Learning. IJCAI (2023)
Chunhui Zhang, Chao Huang, Yijun Tian, Qianlong Wen, Zhongyu Ouyang, Youhuan Li, Yanfang Ye, Chuxu Zhang
When Sparsity Meets Contrastive Models: Less Graph Data Can Bring Better Class-Balanced Representations. ICML (2023)
Chunhui Zhang, Yijun Tian, Mingxuan Ju, Zheyuan Liu, Yanfang Ye, Nitesh V. Chawla, Chuxu Zhang
Chasing All-Round Graph Representation Robustness: Model, Training, and Optimization. ICLR (2023)
Chuxu Zhang
Towards Societal Impact of AI. AAAI (2023)
Mingxuan Ju, Yujie Fan, Chuxu Zhang, Yanfang Ye
Let Graph Be the Go Board: Gradient-Free Node Injection Attack for Graph Neural Networks via Reinforcement Learning. AAAI (2023)
Zhichun Guo, Chunhui Zhang, Yujie Fan, Yijun Tian, Chuxu Zhang, Nitesh V. Chawla
Boosting Graph Neural Networks via Adaptive Knowledge Distillation. AAAI (2023)
Jiazheng Li, Chunhui Zhang, Chuxu Zhang
Heterogeneous Temporal Graph Neural Network Explainer. CIKM (2023)
Qiang Yang, Changsheng Ma, Qiannan Zhang, Xin Gao, Chuxu Zhang, Xiangliang Zhang
Interpretable Research Interest Shift Detection with Temporal Heterogeneous Graphs. WSDM (2023)
Chunhui Zhang, Hongfu Liu, Jundong Li, Yanfang Ye, Chuxu Zhang
Mind the Gap: Mitigating the Distribution Gap in Graph Few-shot Learning. Trans. Mach. Learn. Res. 2023 (2023)
Jianan Zhao, Qianlong Wen, Mingxuan Ju, Chuxu Zhang, Yanfang Ye
Self-Supervised Graph Structure Refinement for Graph Neural Networks. WSDM (2023)
Yijun Tian, Kaiwen Dong, Chunhui Zhang, Chuxu Zhang, Nitesh V. Chawla
Heterogeneous Graph Masked Autoencoders. AAAI (2023)
Qianlong Wen, Jiazheng Li, Chuxu Zhang, Yanfang Ye
A Multi-Modality Framework for Drug-Drug Interaction Prediction by Harnessing Multi-source Data. CIKM (2023)
Qiannan Zhang, Shichao Pei, Qiang Yang, Chuxu Zhang, Nitesh V. Chawla, Xiangliang Zhang
Cross-Domain Few-Shot Graph Classification with a Reinforced Task Coordinator. AAAI (2023)
Mingxuan Ju, Tong Zhao, Qianlong Wen, Wenhao Yu, Neil Shah, Yanfang Ye, Chuxu Zhang
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization. ICLR (2023)
Yijun Tian, Chuxu Zhang, Zhichun Guo, Xiangliang Zhang, Nitesh V. Chawla
Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency. ICLR (2023)
Chuxu Zhang, Dongkuan Xu, Mojan Javaheripi, Subhabrata Mukherjee, Lingfei Wu, Yinglong Xia, Jundong Li, Meng Jiang, Yanzhi Wang
RelKD 2023: International Workshop on Resource-Efficient Learning for Knowledge Discovery. KDD (2023)
Yijun Tian, Shichao Pei, Xiangliang Zhang, Chuxu Zhang, Nitesh V. Chawla
Knowledge Distillation on Graphs: A Survey. CoRR (2023)
Han Yue, Chunhui Zhang, Chuxu Zhang, Hongfu Liu
Label-invariant Augmentation for Semi-Supervised Graph Classification. NeurIPS (2022)
Meng Jiang, Chuxu Zhang, Xiangliang Zhang, Neil Shah
Editorial: Computational Behavioral Modeling for Big User Data. Frontiers Big Data 5 (2022)
Yiyue Qian, Yiming Zhang, Nitesh V. Chawla, Yanfang Ye, Chuxu Zhang
Malicious Repositories Detection with Adversarial Heterogeneous Graph Contrastive Learning. CIKM (2022)
Han Yue, Chunhui Zhang, Chuxu Zhang, Hongfu Liu
Label-invariant Augmentation for Semi-Supervised Graph Classification. CoRR (2022)
Yiyue Qian, Chunhui Zhang, Yiming Zhang, Qianlong Wen, Yanfang Ye, Chuxu Zhang
Co-Modality Graph Contrastive Learning for Imbalanced Node Classification. NeurIPS (2022)
Chunhui Zhang, Chao Huang, Yijun Tian, Qianlong Wen, Zhongyu Ouyang, Youhuan Li, Yanfang Ye, Chuxu Zhang
Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph Representation Learning. CoRR (2022)
Mingxuan Ju, Tong Zhao, Qianlong Wen, Wenhao Yu, Neil Shah, Yanfang Ye, Chuxu Zhang
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization. CoRR (2022)
Yijun Tian, Kaiwen Dong, Chunhui Zhang, Chuxu Zhang, Nitesh V. Chawla
Heterogeneous Graph Masked Autoencoders. CoRR (2022)
Song Wang, Kaize Ding, Chuxu Zhang, Chen Chen, Jundong Li
Task-Adaptive Few-shot Node Classification. CoRR (2022)
Lianghao Xia, Chao Huang, Chuxu Zhang
Self-Supervised Hypergraph Transformer for Recommender Systems. CoRR (2022)
Song Wang, Kaize Ding, Chuxu Zhang, Chen Chen, Jundong Li
Task-Adaptive Few-shot Node Classification. KDD (2022)
Mingxuan Ju, Wenhao Yu, Tong Zhao, Chuxu Zhang, Yanfang Ye
Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering. EMNLP (Findings) (2022)
Chunhui Zhang, Hongfu Liu, Jundong Li, Yanfang Ye, Chuxu Zhang
Contrastive Graph Few-Shot Learning. CoRR (2022)
Yijun Tian, Chuxu Zhang, Zhichun Guo, Xiangliang Zhang, Nitesh V. Chawla
NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs. CoRR (2022)
Chuxu Zhang, Julia Kiseleva, Sujay Kumar Jauhar, Ryen W. White
Grounded Task Prioritization with Context-Aware Sequential Ranking. ACM Trans. Inf. Syst. 40 (4) (2022)
Kaize Ding, Chuxu Zhang, Jie Tang, Nitesh V. Chawla, Huan Liu
Toward Graph Minimally-Supervised Learning. KDD (2022)
Yiyue Qian, Yiming Zhang, Qianlong Wen, Yanfang Ye, Chuxu Zhang
Rep2Vec: Repository Embedding via Heterogeneous Graph Adversarial Contrastive Learning. KDD (2022)
Zhichun Guo, Bozhao Nan, Yijun Tian, Olaf Wiest, Chuxu Zhang, Nitesh V. Chawla
Graph-based Molecular Representation Learning. CoRR (2022)
Yujie Fan, Mingxuan Ju, Chuxu Zhang, Yanfang Ye
Heterogeneous Temporal Graph Neural Network. SDM (2022)
Lu Yu, Shichao Pei, Lizhong Ding, Jun Zhou, Longfei Li, Chuxu Zhang, Xiangliang Zhang
SAIL: Self-Augmented Graph Contrastive Learning. AAAI (2022)
Chuxu Zhang, Kaize Ding, Jundong Li, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla, Huan Liu
Few-Shot Learning on Graphs. IJCAI (2022)
Yiming Zhang, Yiyue Qian, Yanfang Ye, Chuxu Zhang
Adapting Distilled Knowledge for Few-shot Relation Reasoning over Knowledge Graphs. SDM (2022)
Mingxuan Ju, Yujie Fan, Chuxu Zhang, Yanfang Ye
Let Graph be the Go Board: Gradient-free Node Injection Attack for Graph Neural Networks via Reinforcement Learning. CoRR (2022)
Chunhui Zhang, Chao Huang, Youhuan Li, Xiangliang Zhang, Yanfang Ye, Chuxu Zhang
Look Twice as Much as You Say: Scene Graph Contrastive Learning for Self-Supervised Image Caption Generation. CIKM (2022)
Qianlong Wen, Zhongyu Ouyang, Jianfei Zhang, Yiyue Qian, Yanfang Ye, Chuxu Zhang
Disentangled Dynamic Heterogeneous Graph Learning for Opioid Overdose Prediction. KDD (2022)
Qiang Yang, Qiannan Zhang, Chuxu Zhang, Xiangliang Zhang
Interpretable Relation Learning on Heterogeneous Graphs. WSDM (2022)
Mingxuan Ju, Wenhao Yu, Tong Zhao, Chuxu Zhang, Yanfang Ye
Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering. CoRR (2022)
Mandana Saebi, Steven Kreig, Chuxu Zhang, Meng Jiang, Tomasz Kajdanowicz, Nitesh V. Chawla
Heterogeneous relational reasoning in knowledge graphs with reinforcement learning. Inf. Fusion 88 (2022)
Zhichun Guo, Chunhui Zhang, Yujie Fan, Yijun Tian, Chuxu Zhang, Nitesh V. Chawla
Boosting Graph Neural Networks via Adaptive Knowledge Distillation. CoRR (2022)
Qiannan Zhang, Xiaodong Wu, Qiang Yang, Chuxu Zhang, Xiangliang Zhang
Few-shot Heterogeneous Graph Learning via Cross-domain Knowledge Transfer. KDD (2022)
Lianghao Xia, Chao Huang, Chuxu Zhang
Self-Supervised Hypergraph Transformer for Recommender Systems. KDD (2022)
Lu Yu, Shichao Pei, Feng Zhu, Longfei Li, Jun Zhou, Chuxu Zhang, Xiangliang Zhang
A Biased Sampling Method for Imbalanced Personalized Ranking. CIKM (2022)
Yijun Tian, Chuxu Zhang, Zhichun Guo, Chao Huang, Ronald A. Metoyer, Nitesh V. Chawla
RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation. CoRR (2022)
Qiannan Zhang, Xiaodong Wu, Qiang Yang, Chuxu Zhang, Xiangliang Zhang
HG-Meta: Graph Meta-learning over Heterogeneous Graphs. SDM (2022)
Yijun Tian, Chuxu Zhang, Zhichun Guo, Chao Huang, Ronald A. Metoyer, Nitesh V. Chawla
RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation. IJCAI (2022)
Yijun Tian, Chuxu Zhang, Zhichun Guo, Yihong Ma, Ronald A. Metoyer, Nitesh V. Chawla
Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks. IJCAI (2022)
Qianlong Wen, Zhongyu Ouyang, Chunhui Zhang, Yiyue Qian, Yanfang Ye, Chuxu Zhang
Adversarial Cross-View Disentangled Graph Contrastive Learning. CoRR (2022)
Jiele Wu, Chunhui Zhang, Zheyuan Liu, Erchi Zhang, Steven Wilson, Chuxu Zhang
GraphBERT: Bridging Graph and Text for Malicious Behavior Detection on Social Media. ICDM (2022)
Yijun Tian, Chuxu Zhang, Zhichun Guo, Yihong Ma, Ronald A. Metoyer, Nitesh V. Chawla
Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks. CoRR (2022)
Jianfei Zhang, Ai-Te Kuo, Jianan Zhao, Qianlong Wen, Erin L. Winstanley, Chuxu Zhang, Yanfang Ye
Rx-refill Graph Neural Network to Reduce Drug Overprescribing Risks (Extended Abstract). IJCAI (2022)
Chuxu Zhang, Kaize Ding, Jundong Li, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla, Huan Liu
Few-Shot Learning on Graphs: A Survey. CoRR (2022)
Jianfei Zhang, Ai-Te Kuo, Jianan Zhao, Qianlong Wen, Erin L. Winstanley, Chuxu Zhang, Yanfang Ye
RxNet: Rx-refill Graph Neural Network for Overprescribing Detection. CIKM (2021)
Chuxu Zhang, Jundong Li, Meng Jiang
Data Efficient Learning on Graphs. KDD (2021)
Yiyue Qian, Yiming Zhang, Yanfang Ye, Chuxu Zhang
Adapting Meta Knowledge with Heterogeneous Information Network for COVID-19 Themed Malicious Repository Detection. IJCAI (2021)
Yujie Fan, Mingxuan Ju, Chuxu Zhang, Liang Zhao, Yanfang Ye
Heterogeneous Temporal Graph Neural Network. CoRR (2021)
Yiyue Qian, Yiming Zhang, Yanfang Ye, Chuxu Zhang
Distilling Meta Knowledge on Heterogeneous Graph for Illicit Drug Trafficker Detection on Social Media. NeurIPS (2021)
Yijun Tian, Chuxu Zhang, Ronald A. Metoyer, Nitesh V. Chawla
Recipe Representation Learning with Networks. CIKM (2021)
Zhichun Guo, Chuxu Zhang, Wenhao Yu, John Herr, Olaf Wiest, Meng Jiang, Nitesh V. Chawla
Few-Shot Graph Learning for Molecular Property Prediction. WWW (2021)
Jianan Zhao, Qianlong Wen, Shiyu Sun, Yanfang Ye, Chuxu Zhang
Multi-view Self-supervised Heterogeneous Graph Embedding. ECML/PKDD (2) (2021)
Yijun Tian, Chuxu Zhang, Ronald A. Metoyer, Nitesh V. Chawla
Recipe Recommendation With Hierarchical Graph Attention Network. Frontiers Big Data 4 (2021)
Chuxu Zhang, Huaxiu Yao, Lu Yu, Chao Huang, Dongjin Song, Haifeng Chen, Meng Jiang, Nitesh V. Chawla
Inductive Contextual Relation Learning for Personalization. ACM Trans. Inf. Syst. 39 (3) (2021)
Zhichun Guo, Chuxu Zhang, Wenhao Yu, John Herr, Olaf Wiest, Meng Jiang, Nitesh V. Chawla
Few-Shot Graph Learning for Molecular Property Prediction. CoRR (2021)
Lu Yu, Shichao Pei, Chuxu Zhang, Shangsong Liang, Xiao Bai, Xiangliang Zhang
Addressing Class-Imbalance Problem in Personalized Ranking. CoRR (2020)
Chuxu Zhang, Meng Jiang, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla
Multi-modal Network Representation Learning. KDD (2020)
Chuxu Zhang
Learning from Heterogeneous Networks: Methods and Applications. WSDM (2020)
Chao Huang, Chuxu Zhang, Peng Dai, Liefeng Bo
Cross-Interaction Hierarchical Attention Networks for Urban Anomaly Prediction. IJCAI (2020)
Chuxu Zhang, Huaxiu Yao, Chao Huang, Meng Jiang, Zhenhui Li, Nitesh V. Chawla
Few-Shot Knowledge Graph Completion. AAAI (2020)
Zhichun Guo, Wenhao Yu, Chuxu Zhang, Meng Jiang, Nitesh V. Chawla
GraSeq: Graph and Sequence Fusion Learning for Molecular Property Prediction. CIKM (2020)
Lu Yu, Shichao Pei, Chuxu Zhang, Lizhong Ding, Jun Zhou, Longfei Li, Xiangliang Zhang
Self-supervised Smoothing Graph Neural Networks. CoRR (2020)
Chuxu Zhang, Lu Yu, Mandana Saebi, Meng Jiang, Nitesh V. Chawla
Few-Shot Multi-Hop Relation Reasoning over Knowledge Bases. EMNLP (Findings) (2020)
Huaxiu Yao, Chuxu Zhang, Ying Wei, Meng Jiang, Suhang Wang, Junzhou Huang, Nitesh V. Chawla, Zhenhui Li
Graph Few-Shot Learning via Knowledge Transfer. AAAI (2020)
Xian Wu, Chao Huang, Chuxu Zhang, Nitesh V. Chawla
Hierarchically Structured Transformer Networks for Fine-Grained Spatial Event Forecasting. WWW (2020)
Mandana Saebi, Steven J. Krieg, Chuxu Zhang, Meng Jiang, Nitesh V. Chawla
Heterogeneous Relational Reasoning in Knowledge Graphs with Reinforcement Learning. CoRR (2020)
Chuxu Zhang, Dongjin Song, Chao Huang, Ananthram Swami, Nitesh V. Chawla
Heterogeneous Graph Neural Network. KDD (2019)
Lu Yu, Chuxu Zhang, Shangsong Liang, Xiangliang Zhang
Multi-Order Attentive Ranking Model for Sequential Recommendation. AAAI (2019)
Chao Huang, Chuxu Zhang, Jiashu Zhao, Xian Wu, Nitesh V. Chawla, Dawei Yin
MiST: A Multiview and Multimodal Spatial-Temporal Learning Framework for Citywide Abnormal Event Forecasting. WWW (2019)
Chuxu Zhang, Dongjin Song, Yuncong Chen, Xinyang Feng, Cristian Lumezanu, Wei Cheng, Jingchao Ni, Bo Zong, Haifeng Chen, Nitesh V. Chawla
A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data. AAAI (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Chuxu Zhang