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Chuxu Zhang

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

98

Venues

17

Active years

2017–2026

Best venue rank

A*

Where they publish

Papers

98 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAIAdaptive and Context-rich Generative Self-supervised Learning on Graphs.Yijun Tian, Chuxu Zhang, Ziyi Kou, Zheyuan Liu, Xiangliang Zhang, Nitesh V. Chawla
2026AAAIPareto-Based Heterogeneous Knowledge Distillation for MLPs on Graphs.Wenrui Zhao, Yijun Tian, Zhichao Xu, Yawei Wang, Chuxu Zhang
2026ACLAgentRouter: A Knowledge-Graph-Guided LLM Router for Collaborative Multi-Agent Question Answering.Zheyuan Zhang, Kaiwen Shi, Zhengqing Yuan, Zehong Wang, Tianyi Ma, Keerthiram Murugesan, Vincent Galassi, Chuxu Zhang, Yanfang Ye
2026EACLInterpretable Graph-Language Modeling for Detecting Youth Illicit Drug Use.Yiyang Li, Zehong Wang, Zhengqing Yuan, Zheyuan Zhang, Keerthiram Murugesan, Chuxu Zhang, Yanfang Ye
2026EACLNG-Router: Graph-Supervised Multi-Agent Collaboration for Nutrition Question Answering.Kaiwen Shi, Zheyuan Zhang, Zhengqing Yuan, Keerthiram Murugesan, Vincent Galassi, Chuxu Zhang, Yanfang Ye
2026EACLMAPRO: Recasting Multi-Agent Prompt Optimization as Maximum a Posteriori Inference.Zheyuan Zhang, Lin Ge, Hongjiang Li, Weicheng Zhu, Chuxu Zhang, Yanfang Ye
2026WWWControllable Graph Generation with Diffusion Models via Inference-Time Tree Search Guidance.Jiachi Zhao, Zehong Wang, Yamei Liao, Chuxu Zhang, Yanfang Ye
2025ACLLLM-Empowered Class Imbalanced Graph Prompt Learning for Online Drug Trafficking Detection.Tianyi Ma, Yiyue Qian, Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye
2025ACLNGQA: A Nutritional Graph Question Answering Benchmark for Personalized Health-aware Nutritional Reasoning.Zheyuan Zhang, Yiyang Li, Nhi Ha Lan Le, Zehong Wang, Tianyi Ma, Vincent Galassi, Keerthiram Murugesan, Nuno Moniz, Werner Geyer, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye
2025ICDMHypergraph Representation Learning with Adaptive Broadcasting and Receiving.Tianyi Ma, Yiyue Qian, Zheyuan Zhang, Zehong Wang, Shinan Zhang, Chuxu Zhang, Yanfang Ye
2025ICMLMASS: 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
2025ICMLTowards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees.Zehong Wang, Zheyuan Zhang, Tianyi Ma, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye
2025ICMLBeyond Message Passing: Neural Graph Pattern Machine.Zehong Wang, Zheyuan Zhang, Tianyi Ma, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye
2025IJCAIGraph Neural Networks for Databases: A Survey.Ziming Li, Youhuan Li, Yuyu Luo, Guoliang Li, Chuxu Zhang
2025KDDGraph Prompting for Graph Learning Models: Recent Advances and Future Directions.Xingbo Fu, Zehong Wang, Zihan Chen, Jiazheng Li, Yaochen Zhu, Zhenyu Lei, Cong Shen, Yanfang Ye, Chuxu Zhang, Jundong Li
2025KDDGraph Foundation Models: Challenges, Methods, and Open Questions.Zehong Wang, Chuxu Zhang, Jundong Li, Nitesh V. Chawla, Yanfang Ye
2025KDDRelKD 2025: The Third International Workshop on Resource-Efficient Learning for Knowledge Discovery.Chuxu Zhang, Kaize Ding, Jundong Li, Dongkuan Xu, Haoyu Wang, Derek Zhiyuan Cheng, Huan Liu
2025KDDMOPI-HFRS: A Multi-objective Personalized Health-aware Food Recommendation System with LLM-enhanced Interpretation.Zheyuan Zhang, Zehong Wang, Tianyi Ma, Varun Sameer Taneja, Sofia Nelson, Nhi Ha Lan Le, Keerthiram Murugesan, Mingxuan Ju, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye
2025NAACLCan LLMs Convert Graphs to Text-Attributed Graphs?Zehong Wang, Sidney Liu, Zheyuan Zhang, Tianyi Ma, Chuxu Zhang, Yanfang Ye
2025WWWResource-Efficient Learning for the Web.Chuxu Zhang, Kaize Ding, Jundong Li, Dongkuan Xu, Haoyu Wang, Derek Zhiyuan Cheng, Huan Liu
2025WWWRelWeb 2025: The International Workshop on Resource-Efficient Learning for the Web.Chuxu Zhang, Kaize Ding, Jundong Li, Dongkuan Xu, Haoyu Wang, Derek Zhiyuan Cheng, Huan Liu
2025WSDMRSM: Reinforced Subgraph Matching Framework with Fine-grained Operation based Search Plan.Ziming Li, Yuequn Dou, Youhuan Li, Xinhuan Chen, Chuxu Zhang
2025WSDMAdaptive Graph Enhancement for Imbalanced Multi-relation Graph Learning.Yiyue Qian, Tianyi Ma, Chuxu Zhang, Yanfang Ye
2025WSDMTraining MLPs on Graphs without Supervision.Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye
2024ICLRMitigating Emergent Robustness Degradation while Scaling Graph Learning.Xiangchi Yuan, Chunhui Zhang, Yijun Tian, Yanfang Ye, Chuxu Zhang
2024ICMLFrom Coarse to Fine: Enable Comprehensive Graph Self-supervised Learning with Multi-granular Semantic Ensemble.Qianlong Wen, Mingxuan Ju, Zhongyu Ouyang, Chuxu Zhang, Yanfang Ye
2024IJCAISubgraph Pooling: Tackling Negative Transfer on Graphs.Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye
2024ICWSMHow to Improve Representation Alignment and Uniformity in Graph-Based Collaborative Filtering?Zhongyu Ouyang, Chunhui Zhang, Shifu Hou, Chuxu Zhang, Yanfang Ye
2024KDDGraph Cross Supervised Learning via Generalized Knowledge.Xiangchi Yuan, Yijun Tian, Chunhui Zhang, Yanfang Ye, Nitesh V. Chawla, Chuxu Zhang
2024KDDDiet-ODIN: A Novel Framework for Opioid Misuse Detection with Interpretable Dietary Patterns.Zheyuan Zhang, Zehong Wang, Shifu Hou, Evan Hall, Landon Bachman, Jasmine White, Vincent Galassi, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye
2024KDDRelKD 2024: The Second International Workshop on Resource-Efficient Learning for Knowledge Discovery.Chuxu Zhang, Dongkuan Xu, Kaize Ding, Jundong Li, Mojan Javaheripi, Subhabrata Mukherjee, Nitesh V. Chawla, Huan Liu
2024WWWDual-level Hypergraph Contrastive Learning with Adaptive Temperature Enhancement.Yiyue Qian, Tianyi Ma, Chuxu Zhang, Yanfang Ye
2024UAIGCVR: Reconstruction from Cross-View Enable Sufficient and Robust Graph Contrastive Learning.Qianlong Wen, Zhongyu Ouyang, Chunhui Zhang, Yiyue Qian, Chuxu Zhang, Yanfang Ye
2023AAAIHeterogeneous Graph Masked Autoencoders.Yijun Tian, Kaiwen Dong, Chunhui Zhang, Chuxu Zhang, Nitesh V. Chawla
2023AAAIBoosting Graph Neural Networks via Adaptive Knowledge Distillation.Zhichun Guo, Chunhui Zhang, Yujie Fan, Yijun Tian, Chuxu Zhang, Nitesh V. Chawla
2023AAAILet 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
2023AAAITowards Societal Impact of AI.Chuxu Zhang
2023AAAICross-Domain Few-Shot Graph Classification with a Reinforced Task Coordinator.Qiannan Zhang, Shichao Pei, Qiang Yang, Chuxu Zhang, Nitesh V. Chawla, Xiangliang Zhang
2023CIKMHeterogeneous Temporal Graph Neural Network Explainer.Jiazheng Li, Chunhui Zhang, Chuxu Zhang
2023CIKMA Multi-Modality Framework for Drug-Drug Interaction Prediction by Harnessing Multi-source Data.Qianlong Wen, Jiazheng Li, Chuxu Zhang, Yanfang Ye
2023ICDMHypergraph Contrastive Learning for Drug Trafficking Community Detection.Tianyi Ma, Yiyue Qian, Chuxu Zhang, Yanfang Ye
2023ICLRLearning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency.Yijun Tian, Chuxu Zhang, Zhichun Guo, Xiangliang Zhang, Nitesh V. Chawla
2023ICLRMulti-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization.Mingxuan Ju, Tong Zhao, Qianlong Wen, Wenhao Yu, Neil Shah, Yanfang Ye, Chuxu Zhang
2023ICLRChasing All-Round Graph Representation Robustness: Model, Training, and Optimization.Chunhui Zhang, Yijun Tian, Mingxuan Ju, Zheyuan Liu, Yanfang Ye, Nitesh V. Chawla, Chuxu Zhang
2023ICMLWhen 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
2023IJCAIGraph-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
2023KDDCounterfactual Learning on Heterogeneous Graphs with Greedy Perturbation.Qiang Yang, Changsheng Ma, Qiannan Zhang, Xin Gao, Chuxu Zhang, Xiangliang Zhang
2023KDDRelKD 2023: International Workshop on Resource-Efficient Learning for Knowledge Discovery.Chuxu Zhang, Dongkuan Xu, Mojan Javaheripi, Subhabrata Mukherjee, Lingfei Wu, Yinglong Xia, Jundong Li, Meng Jiang, Yanzhi Wang
2023WWWFair Graph Representation Learning via Diverse Mixture-of-Experts.Zheyuan Liu, Chunhui Zhang, Yijun Tian, Erchi Zhang, Chao Huang, Yanfang Ye, Chuxu Zhang
2023WWWMulti-Modal Self-Supervised Learning for Recommendation.Wei Wei, Chao Huang, Lianghao Xia, Chuxu Zhang
2023WSDMSelf-Supervised Graph Structure Refinement for Graph Neural Networks.Jianan Zhao, Qianlong Wen, Mingxuan Ju, Chuxu Zhang, Yanfang Ye
2023WSDMInterpretable Research Interest Shift Detection with Temporal Heterogeneous Graphs.Qiang Yang, Changsheng Ma, Qiannan Zhang, Xin Gao, Chuxu Zhang, Xiangliang Zhang
2022AAAISAIL: Self-Augmented Graph Contrastive Learning.Lu Yu, Shichao Pei, Lizhong Ding, Jun Zhou, Longfei Li, Chuxu Zhang, Xiangliang Zhang
2022CIKMA Biased Sampling Method for Imbalanced Personalized Ranking.Lu Yu, Shichao Pei, Feng Zhu, Longfei Li, Jun Zhou, Chuxu Zhang, Xiangliang Zhang
2022CIKMMalicious Repositories Detection with Adversarial Heterogeneous Graph Contrastive Learning.Yiyue Qian, Yiming Zhang, Nitesh V. Chawla, Yanfang Ye, Chuxu Zhang
2022CIKMLook Twice as Much as You Say: Scene Graph Contrastive Learning for Self-Supervised Image Caption Generation.Chunhui Zhang, Chao Huang, Youhuan Li, Xiangliang Zhang, Yanfang Ye, Chuxu Zhang
2022EMNLPGrape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering.Mingxuan Ju, Wenhao Yu, Tong Zhao, Chuxu Zhang, Yanfang Ye
2022ICDMGraphBERT: Bridging Graph and Text for Malicious Behavior Detection on Social Media.Jiele Wu, Chunhui Zhang, Zheyuan Liu, Erchi Zhang, Steven Lloyd Wilson, Chuxu Zhang
2022IJCAIRecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation.Yijun Tian, Chuxu Zhang, Zhichun Guo, Chao Huang, Ronald A. Metoyer, Nitesh V. Chawla
2022IJCAIRecipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks.Yijun Tian, Chuxu Zhang, Zhichun Guo, Yihong Ma, Ronald A. Metoyer, Nitesh V. Chawla
2022IJCAIFew-Shot Learning on Graphs.Chuxu Zhang, Kaize Ding, Jundong Li, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla, Huan Liu
2022IJCAIRx-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
2022KDDToward Graph Minimally-Supervised Learning.Kaize Ding, Chuxu Zhang, Jie Tang, Nitesh V. Chawla, Huan Liu
2022KDDRep2Vec: Repository Embedding via Heterogeneous Graph Adversarial Contrastive Learning.Yiyue Qian, Yiming Zhang, Qianlong Wen, Yanfang Ye, Chuxu Zhang
2022KDDTask-Adaptive Few-shot Node Classification.Song Wang, Kaize Ding, Chuxu Zhang, Chen Chen, Jundong Li
2022KDDDisentangled Dynamic Heterogeneous Graph Learning for Opioid Overdose Prediction.Qianlong Wen, Zhongyu Ouyang, Jianfei Zhang, Yiyue Qian, Yanfang Ye, Chuxu Zhang
2022KDDSelf-Supervised Hypergraph Transformer for Recommender Systems.Lianghao Xia, Chao Huang, Chuxu Zhang
2022KDDFew-shot Heterogeneous Graph Learning via Cross-domain Knowledge Transfer.Qiannan Zhang, Xiaodong Wu, Qiang Yang, Chuxu Zhang, Xiangliang Zhang
2022WSDMInterpretable Relation Learning on Heterogeneous Graphs.Qiang Yang, Qiannan Zhang, Chuxu Zhang, Xiangliang Zhang
2022SDMAdapting Distilled Knowledge for Few-shot Relation Reasoning over Knowledge Graphs.Yiming Zhang, Yiyue Qian, Yanfang Ye, Chuxu Zhang
2022SDMHeterogeneous Temporal Graph Neural Network.Yujie Fan, Mingxuan Ju, Chuxu Zhang, Yanfang Ye
2022SDMHG-Meta: Graph Meta-learning over Heterogeneous Graphs.Qiannan Zhang, Xiaodong Wu, Qiang Yang, Chuxu Zhang, Xiangliang Zhang
2021CIKMRecipe Representation Learning with Networks.Yijun Tian, Chuxu Zhang, Ronald A. Metoyer, Nitesh V. Chawla
2021CIKMRxNet: Rx-refill Graph Neural Network for Overprescribing Detection.Jianfei Zhang, Ai-Te Kuo, Jianan Zhao, Qianlong Wen, Erin L. Winstanley, Chuxu Zhang, Yanfang Ye
2021IJCAIAdapting Meta Knowledge with Heterogeneous Information Network for COVID-19 Themed Malicious Repository Detection.Yiyue Qian, Yiming Zhang, Yanfang Ye, Chuxu Zhang
2021KDDData Efficient Learning on Graphs.Chuxu Zhang, Jundong Li, Meng Jiang
2021WWWFew-Shot Graph Learning for Molecular Property Prediction.Zhichun Guo, Chuxu Zhang, Wenhao Yu, John Herr, Olaf Wiest, Meng Jiang, Nitesh V. Chawla
2020AAAIGraph Few-Shot Learning via Knowledge Transfer.Huaxiu Yao, Chuxu Zhang, Ying Wei, Meng Jiang, Suhang Wang, Junzhou Huang, Nitesh V. Chawla, Zhenhui Li
2020AAAIFew-Shot Knowledge Graph Completion.Chuxu Zhang, Huaxiu Yao, Chao Huang, Meng Jiang, Zhenhui Li, Nitesh V. Chawla
2020CIKMGraSeq: Graph and Sequence Fusion Learning for Molecular Property Prediction.Zhichun Guo, Wenhao Yu, Chuxu Zhang, Meng Jiang, Nitesh V. Chawla
2020EMNLPFew-Shot Multi-Hop Relation Reasoning over Knowledge Bases.Chuxu Zhang, Lu Yu, Mandana Saebi, Meng Jiang, Nitesh V. Chawla
2020IJCAICross-Interaction Hierarchical Attention Networks for Urban Anomaly Prediction.Chao Huang, Chuxu Zhang, Peng Dai, Liefeng Bo
2020KDDMulti-modal Network Representation Learning.Chuxu Zhang, Meng Jiang, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla
2020WWWHierarchically Structured Transformer Networks for Fine-Grained Spatial Event Forecasting.Xian Wu, Chao Huang, Chuxu Zhang, Nitesh V. Chawla
2020WSDMLearning from Heterogeneous Networks: Methods and Applications.Chuxu Zhang
2019AAAIMulti-Order Attentive Ranking Model for Sequential Recommendation.Lu Yu, Chuxu Zhang, Shangsong Liang, Xiangliang Zhang
2019AAAIA 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
2019CIKMDeep Dynamic Fusion Network for Traffic Accident Forecasting.Chao Huang, Chuxu Zhang, Peng Dai, Liefeng Bo
2019KDDOnline Purchase Prediction via Multi-Scale Modeling of Behavior Dynamics.Chao Huang, Xian Wu, Xuchao Zhang, Chuxu Zhang, Jiashu Zhao, Dawei Yin, Nitesh V. Chawla
2019KDDHeterogeneous Graph Neural Network.Chuxu Zhang, Dongjin Song, Chao Huang, Ananthram Swami, Nitesh V. Chawla
2019WWWMiST: A Multiview and Multimodal Spatial-Temporal Learning Framework for Citywide Abnormal Event Forecasting.Chao Huang, Chuxu Zhang, Jiashu Zhao, Xian Wu, Nitesh V. Chawla, Dawei Yin
2019WSDMSHNE: Representation Learning for Semantic-Associated Heterogeneous Networks.Chuxu Zhang, Ananthram Swami, Nitesh V. Chawla
2018AAAIWalkRanker: A Unified Pairwise Ranking Model With Multiple Relations for Item Recommendation.Lu Yu, Chuxu Zhang, Shichao Pei, Guolei Sun, Xiangliang Zhang
2018IJCAITask-Guided and Semantic-Aware Ranking for Academic Author-Paper Correlation Inference.Chuxu Zhang, Lu Yu, Xiangliang Zhang, Nitesh V. Chawla
2018WWWCamel: Content-Aware and Meta-path Augmented Metric Learning for Author Identification.Chuxu Zhang, Chao Huang, Lu Yu, Xiangliang Zhang, Nitesh V. Chawla
2017APWEBIdentifying the Academic Rising Stars via Pairwise Citation Increment Ranking.Chuxu Zhang, Chuang Liu, Lu Yu, Zi-Ke Zhang, Tao Zhou
2017APWEBA Community-Aware Approach to Minimizing Dissemination in Graphs.Chuxu Zhang, Lu Yu, Chuang Liu, Zi-Ke Zhang, Tao Zhou
2017SDMCollaborative User Network Embedding for Social Recommender Systems.Chuxu Zhang, Lu Yu, Yan Wang, Chirag Shah, Xiangliang Zhang