default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDChuxu Zhang
Chu-Xu Zhang
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[c82]Xiangchi Yuan, Chunhui Zhang, Yijun Tian, Yanfang Ye, Chuxu Zhang:
Mitigating Emergent Robustness Degradation while Scaling Graph Learning. ICLR 2024- [c81]Qianlong Wen, Mingxuan Ju, Zhongyu Ouyang, Chuxu Zhang, Yanfang Ye:
From Coarse to Fine: Enable Comprehensive Graph Self-supervised Learning with Multi-granular Semantic Ensemble. ICML 2024 - [c80]Zhongyu Ouyang, Chunhui Zhang, Shifu Hou, Chuxu Zhang, Yanfang Ye:
How to Improve Representation Alignment and Uniformity in Graph-Based Collaborative Filtering? ICWSM 2024: 1148-1159 - [c79]Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye:
Subgraph Pooling: Tackling Negative Transfer on Graphs. IJCAI 2024: 5153-5161 - [c78]Xiangchi Yuan
, Yijun Tian, Chunhui Zhang, Yanfang Ye, Nitesh V. Chawla, Chuxu Zhang:
Graph Cross Supervised Learning via Generalized Knowledge. KDD 2024: 4083-4094 - [c77]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: 6312-6323 - [c76]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: 6749-6750 - [c75]Zhongyu Ouyang, Chunhui Zhang, Shifu Hou, Shang Ma, Chaoran Chen, Toby Li, Xusheng Xiao, Chuxu Zhang, Yanfang Ye:
Symbolic Prompt Tuning Completes the App Promotion Graph. ECML/PKDD (10) 2024: 183-198 - [c74]Yiyue Qian, Tianyi Ma, Chuxu Zhang, Yanfang Ye:
Dual-level Hypergraph Contrastive Learning with Adaptive Temperature Enhancement. WWW (Companion Volume) 2024: 859-862 - [i37]Yijun Tian, Chuxu Zhang, Ziyi Kou, Zheyuan Liu, Xiangliang Zhang, Nitesh V. Chawla:
UGMAE: A Unified Framework for Graph Masked Autoencoders. CoRR abs/2402.08023 (2024) - [i36]Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye:
Tackling Negative Transfer on Graphs. CoRR abs/2402.08907 (2024) - [i35]Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye:
Graph Inference Acceleration by Learning MLPs on Graphs without Supervision. CoRR abs/2402.08918 (2024) - [i34]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 abs/2403.08820 (2024) - [i33]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 abs/2405.11034 (2024) - 2023
- [j6]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) - [c73]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: 4383-4390 - [c72]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: 4893-4901 - [c71]Zhichun Guo, Chunhui Zhang, Yujie Fan, Yijun Tian, Chuxu Zhang, Nitesh V. Chawla:
Boosting Graph Neural Networks via Adaptive Knowledge Distillation. AAAI 2023: 7793-7801 - [c70]Yijun Tian, Kaiwen Dong, Chunhui Zhang, Chuxu Zhang, Nitesh V. Chawla:
Heterogeneous Graph Masked Autoencoders. AAAI 2023: 9997-10005 - [c69]Chuxu Zhang:
Towards Societal Impact of AI. AAAI 2023: 15463 - [c68]Jiazheng Li, Chunhui Zhang, Chuxu Zhang:
Heterogeneous Temporal Graph Neural Network Explainer. CIKM 2023: 1298-1307 - [c67]Qianlong Wen, Jiazheng Li, Chuxu Zhang, Yanfang Ye:
A Multi-Modality Framework for Drug-Drug Interaction Prediction by Harnessing Multi-source Data. CIKM 2023: 2696-2705 - [c66]Tianyi Ma, Yiyue Qian, Chuxu Zhang, Yanfang Ye:
Hypergraph Contrastive Learning for Drug Trafficking Community Detection. ICDM 2023: 1205-1210 - [c65]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 - [c64]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 - [c63]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 - [c62]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: 41133-41150 - [c61]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: 6638-6646 - [c60]Qiang Yang, Changsheng Ma, Qiannan Zhang, Xin Gao, Chuxu Zhang, Xiangliang Zhang:
Counterfactual Learning on Heterogeneous Graphs with Greedy Perturbation. KDD 2023: 2988-2998 - [c59]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: 5901-5902 - [c58]Jianan Zhao, Qianlong Wen, Mingxuan Ju, Chuxu Zhang, Yanfang Ye:
Self-Supervised Graph Structure Refinement for Graph Neural Networks. WSDM 2023: 159-167 - [c57]Qiang Yang, Changsheng Ma, Qiannan Zhang, Xin Gao, Chuxu Zhang, Xiangliang Zhang:
Interpretable Research Interest Shift Detection with Temporal Heterogeneous Graphs. WSDM 2023: 321-329 - [c56]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: 28-38 - [c55]Wei Wei, Chao Huang, Lianghao Xia, Chuxu Zhang:
Multi-Modal Self-Supervised Learning for Recommendation. WWW 2023: 790-800 - [i32]Yijun Tian, Shichao Pei, Xiangliang Zhang, Chuxu Zhang, Nitesh V. Chawla:
Knowledge Distillation on Graphs: A Survey. CoRR abs/2302.00219 (2023) - [i31]Wei Wei, Chao Huang, Lianghao Xia, Chuxu Zhang:
Multi-Modal Self-Supervised Learning for Recommendation. CoRR abs/2302.10632 (2023) - 2022
- [j5]Meng Jiang, Chuxu Zhang, Xiangliang Zhang, Neil Shah:
Editorial: Computational Behavioral Modeling for Big User Data. Frontiers Big Data 5: 893216 (2022) - [j4]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: 12-21 (2022) - [j3]Chuxu Zhang, Julia Kiseleva, Sujay Kumar Jauhar, Ryen W. White:
Grounded Task Prioritization with Context-Aware Sequential Ranking. ACM Trans. Inf. Syst. 40(4): 68:1-68:28 (2022) - [c54]Lu Yu, Shichao Pei, Lizhong Ding, Jun Zhou, Longfei Li, Chuxu Zhang, Xiangliang Zhang:
SAIL: Self-Augmented Graph Contrastive Learning. AAAI 2022: 8927-8935 - [c53]Yiyue Qian, Yiming Zhang, Nitesh V. Chawla, Yanfang Ye, Chuxu Zhang:
Malicious Repositories Detection with Adversarial Heterogeneous Graph Contrastive Learning. CIKM 2022: 1645-1654 - [c52]Lu Yu, Shichao Pei, Feng Zhu, Longfei Li, Jun Zhou, Chuxu Zhang, Xiangliang Zhang:
A Biased Sampling Method for Imbalanced Personalized Ranking. CIKM 2022: 2393-2402 - [c51]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: 2519-2528 - [c50]Mingxuan Ju, Wenhao Yu, Tong Zhao, Chuxu Zhang, Yanfang Ye:
Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering. EMNLP (Findings) 2022: 169-181 - [c49]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: 548-557 - [c48]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: 3466-3472 - [c47]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: 3473-3479 - [c46]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: 5379-5383 - [c45]Chuxu Zhang, Kaize Ding, Jundong Li, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla, Huan Liu:
Few-Shot Learning on Graphs. IJCAI 2022: 5662-5669 - [c44]Yiyue Qian, Yiming Zhang, Qianlong Wen, Yanfang Ye, Chuxu Zhang:
Rep2Vec: Repository Embedding via Heterogeneous Graph Adversarial Contrastive Learning. KDD 2022: 1390-1400 - [c43]Song Wang, Kaize Ding, Chuxu Zhang, Chen Chen, Jundong Li:
Task-Adaptive Few-shot Node Classification. KDD 2022: 1910-1919 - [c42]Qianlong Wen, Zhongyu Ouyang, Jianfei Zhang, Yiyue Qian, Yanfang Ye, Chuxu Zhang:
Disentangled Dynamic Heterogeneous Graph Learning for Opioid Overdose Prediction. KDD 2022: 2009-2019 - [c41]Lianghao Xia, Chao Huang, Chuxu Zhang:
Self-Supervised Hypergraph Transformer for Recommender Systems. KDD 2022: 2100-2109 - [c40]Qiannan Zhang, Xiaodong Wu, Qiang Yang, Chuxu Zhang, Xiangliang Zhang:
Few-shot Heterogeneous Graph Learning via Cross-domain Knowledge Transfer. KDD 2022: 2450-2460 - [c39]Kaize Ding, Chuxu Zhang, Jie Tang, Nitesh V. Chawla, Huan Liu:
Toward Graph Minimally-Supervised Learning. KDD 2022: 4782-4783 - [c38]Yiyue Qian, Chunhui Zhang, Yiming Zhang, Qianlong Wen, Yanfang Ye, Chuxu Zhang:
Co-Modality Graph Contrastive Learning for Imbalanced Node Classification. NeurIPS 2022 - [c37]Han Yue, Chunhui Zhang, Chuxu Zhang, Hongfu Liu:
Label-invariant Augmentation for Semi-Supervised Graph Classification. NeurIPS 2022 - [c36]Qiannan Zhang, Xiaodong Wu, Qiang Yang, Chuxu Zhang, Xiangliang Zhang:
HG-Meta: Graph Meta-learning over Heterogeneous Graphs. SDM 2022: 397-405 - [c35]Yujie Fan, Mingxuan Ju, Chuxu Zhang, Yanfang Ye:
Heterogeneous Temporal Graph Neural Network. SDM 2022: 657-665 - [c34]Yiming Zhang, Yiyue Qian, Yanfang Ye, Chuxu Zhang:
Adapting Distilled Knowledge for Few-shot Relation Reasoning over Knowledge Graphs. SDM 2022: 666-674 - [c33]Qiang Yang, Qiannan Zhang, Chuxu Zhang, Xiangliang Zhang:
Interpretable Relation Learning on Heterogeneous Graphs. WSDM 2022: 1266-1274 - [i30]Chuxu Zhang, Kaize Ding, Jundong Li, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla, Huan Liu:
Few-Shot Learning on Graphs: A Survey. CoRR abs/2203.09308 (2022) - [i29]Han Yue, Chunhui Zhang, Chuxu Zhang, Hongfu Liu:
Label-invariant Augmentation for Semi-Supervised Graph Classification. CoRR abs/2205.09802 (2022) - [i28]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 abs/2205.12396 (2022) - [i27]Yijun Tian, Chuxu Zhang, Zhichun Guo, Chao Huang, Ronald A. Metoyer, Nitesh V. Chawla:
RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation. CoRR abs/2205.14005 (2022) - [i26]Song Wang, Kaize Ding, Chuxu Zhang, Chen Chen, Jundong Li:
Task-Adaptive Few-shot Node Classification. CoRR abs/2206.11972 (2022) - [i25]Zhichun Guo, Bozhao Nan, Yijun Tian, Olaf Wiest, Chuxu Zhang, Nitesh V. Chawla:
Graph-based Molecular Representation Learning. CoRR abs/2207.04869 (2022) - [i24]Lianghao Xia, Chao Huang, Chuxu Zhang:
Self-Supervised Hypergraph Transformer for Recommender Systems. CoRR abs/2207.14338 (2022) - [i23]Yijun Tian, Kaiwen Dong, Chunhui Zhang, Chuxu Zhang, Nitesh V. Chawla:
Heterogeneous Graph Masked Autoencoders. CoRR abs/2208.09957 (2022) - [i22]Yijun Tian, Chuxu Zhang, Zhichun Guo, Xiangliang Zhang, Nitesh V. Chawla:
NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs. CoRR abs/2208.10010 (2022) - [i21]Qianlong Wen, Zhongyu Ouyang, Chunhui Zhang, Yiyue Qian, Yanfang Ye, Chuxu Zhang:
Adversarial Cross-View Disentangled Graph Contrastive Learning. CoRR abs/2209.07699 (2022) - [i20]Chunhui Zhang, Hongfu Liu, Jundong Li, Yanfang Ye, Chuxu Zhang:
Contrastive Graph Few-Shot Learning. CoRR abs/2210.00084 (2022) - [i19]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 abs/2210.00162 (2022) - [i18]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 abs/2210.02016 (2022) - [i17]Mingxuan Ju, Wenhao Yu, Tong Zhao, Chuxu Zhang, Yanfang Ye:
Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering. CoRR abs/2210.02933 (2022) - [i16]Zhichun Guo, Chunhui Zhang, Yujie Fan, Yijun Tian, Chuxu Zhang, Nitesh V. Chawla:
Boosting Graph Neural Networks via Adaptive Knowledge Distillation. CoRR abs/2210.05920 (2022) - [i15]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 abs/2211.10782 (2022) - 2021
- [j2]Yijun Tian, Chuxu Zhang, Ronald A. Metoyer, Nitesh V. Chawla:
Recipe Recommendation With Hierarchical Graph Attention Network. Frontiers Big Data 4: 778417 (2021) - [j1]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): 35:1-35:22 (2021) - [c32]Yijun Tian, Chuxu Zhang, Ronald A. Metoyer, Nitesh V. Chawla:
Recipe Representation Learning with Networks. CIKM 2021: 1824-1833 - [c31]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: 2537-2546 - [c30]Yiyue Qian, Yiming Zhang, Yanfang Ye, Chuxu Zhang:
Adapting Meta Knowledge with Heterogeneous Information Network for COVID-19 Themed Malicious Repository Detection. IJCAI 2021: 3684-3690 - [c29]Chuxu Zhang, Jundong Li, Meng Jiang:
Data Efficient Learning on Graphs. KDD 2021: 4092-4093 - [c28]Yiyue Qian, Yiming Zhang, Yanfang Ye, Chuxu Zhang:
Distilling Meta Knowledge on Heterogeneous Graph for Illicit Drug Trafficker Detection on Social Media. NeurIPS 2021: 26911-26923 - [c27]Jianan Zhao, Qianlong Wen, Shiyu Sun, Yanfang Ye, Chuxu Zhang:
Multi-view Self-supervised Heterogeneous Graph Embedding. ECML/PKDD (2) 2021: 319-334 - [c26]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: 2559-2567 - [i14]Zhichun Guo, Chuxu Zhang, Wenhao Yu, John Herr, Olaf Wiest, Meng Jiang, Nitesh V. Chawla:
Few-Shot Graph Learning for Molecular Property Prediction. CoRR abs/2102.07916 (2021) - [i13]Yujie Fan, Mingxuan Ju, Chuxu Zhang, Liang Zhao, Yanfang Ye:
Heterogeneous Temporal Graph Neural Network. CoRR abs/2110.13889 (2021) - 2020
- [c25]Chuxu Zhang, Huaxiu Yao, Chao Huang, Meng Jiang, Zhenhui Li, Nitesh V. Chawla:
Few-Shot Knowledge Graph Completion. AAAI 2020: 3041-3048 - [c24]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: 6656-6663 - [c23]Zhichun Guo, Wenhao Yu, Chuxu Zhang, Meng Jiang, Nitesh V. Chawla:
GraSeq: Graph and Sequence Fusion Learning for Molecular Property Prediction. CIKM 2020: 435-443 - [c22]Chuxu Zhang, Lu Yu, Mandana Saebi, Meng Jiang, Nitesh V. Chawla:
Few-Shot Multi-Hop Relation Reasoning over Knowledge Bases. EMNLP (Findings) 2020: 580-585 - [c21]Chao Huang, Chuxu Zhang, Peng Dai, Liefeng Bo:
Cross-Interaction Hierarchical Attention Networks for Urban Anomaly Prediction. IJCAI 2020: 4359-4365 - [c20]Chuxu Zhang, Meng Jiang, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla:
Multi-modal Network Representation Learning. KDD 2020: 3557-3558 - [c19]Chuxu Zhang:
Learning from Heterogeneous Networks: Methods and Applications. WSDM 2020: 927-928 - [c18]Xian Wu, Chao Huang, Chuxu Zhang, Nitesh V. Chawla:
Hierarchically Structured Transformer Networks for Fine-Grained Spatial Event Forecasting. WWW 2020: 2320-2330 - [i12]Mandana Saebi, Steven J. Krieg, Chuxu Zhang, Meng Jiang, Nitesh V. Chawla:
Heterogeneous Relational Reasoning in Knowledge Graphs with Reinforcement Learning. CoRR abs/2003.06050 (2020) - [i11]Lu Yu, Shichao Pei, Chuxu Zhang, Shangsong Liang, Xiao Bai, Xiangliang Zhang:
Addressing Class-Imbalance Problem in Personalized Ranking. CoRR abs/2005.09272 (2020) - [i10]Lu Yu, Shichao Pei, Chuxu Zhang, Lizhong Ding, Jun Zhou, Longfei Li, Xiangliang Zhang:
Self-supervised Smoothing Graph Neural Networks. CoRR abs/2009.00934 (2020)
2010 – 2019
- 2019
- [c17]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: 1409-1416 - [c16]Lu Yu, Chuxu Zhang, Shangsong Liang, Xiangliang Zhang:
Multi-Order Attentive Ranking Model for Sequential Recommendation. AAAI 2019: 5709-5716 - [c15]Chao Huang, Chuxu Zhang, Peng Dai, Liefeng Bo:
Deep Dynamic Fusion Network for Traffic Accident Forecasting. CIKM 2019: 2673-2681 - [c14]Chuxu Zhang, Dongjin Song, Chao Huang, Ananthram Swami, Nitesh V. Chawla:
Heterogeneous Graph Neural Network. KDD 2019: 793-803 - [c13]Chao Huang, Xian Wu, Xuchao Zhang, Chuxu Zhang, Jiashu Zhao, Dawei Yin, Nitesh V. Chawla:
Online Purchase Prediction via Multi-Scale Modeling of Behavior Dynamics. KDD 2019: 2613-2622 - [c12]Chuxu Zhang, Ananthram Swami, Nitesh V. Chawla:
SHNE: Representation Learning for Semantic-Associated Heterogeneous Networks. WSDM 2019: 690-698 - [c11]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: 717-728 - [i9]Huaxiu Yao, Chuxu Zhang, Ying Wei, Meng Jiang, Suhang Wang, Junzhou Huang, Nitesh V. Chawla, Zhenhui Li:
Graph Few-shot Learning via Knowledge Transfer. CoRR abs/1910.03053 (2019) - [i8]Chuxu Zhang, Huaxiu Yao, Chao Huang, Meng Jiang, Zhenhui Li, Nitesh V. Chawla:
Few-Shot Knowledge Graph Completion. CoRR abs/1911.11298 (2019) - 2018
- [c10]Lu Yu, Chuxu Zhang, Shichao Pei, Guolei Sun, Xiangliang Zhang:
WalkRanker: A Unified Pairwise Ranking Model With Multiple Relations for Item Recommendation. AAAI 2018: 2596-2603 - [c9]Chuxu Zhang, Lu Yu, Xiangliang Zhang, Nitesh V. Chawla:
Task-Guided and Semantic-Aware Ranking for Academic Author-Paper Correlation Inference. IJCAI 2018: 3641-3647 - [c8]Chuxu Zhang, Chao Huang, Lu Yu, Xiangliang Zhang, Nitesh V. Chawla:
Camel: Content-Aware and Meta-path Augmented Metric Learning for Author Identification. WWW 2018: 709-718 - [i7]Chuxu Zhang, Ananthram Swami, Nitesh V. Chawla:
CARL: Content-Aware Representation Learning for Heterogeneous Networks. CoRR abs/1805.04983 (2018) - [i6]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. CoRR abs/1811.08055 (2018) - 2017
- [c7]Chuxu Zhang, Lu Yu, Chuang Liu, Zi-Ke Zhang, Tao Zhou:
A Community-Aware Approach to Minimizing Dissemination in Graphs. APWeb/WAIM (1) 2017: 85-99 - [c6]Chuxu Zhang, Chuang Liu, Lu Yu, Zi-Ke Zhang, Tao Zhou:
Identifying the Academic Rising Stars via Pairwise Citation Increment Ranking. APWeb/WAIM (1) 2017: 475-483 - [c5]Chuxu Zhang, Lu Yu, Xiangliang Zhang, Nitesh V. Chawla:
ImWalkMF: Joint matrix factorization and implicit walk integrative learning for recommendation. IEEE BigData 2017: 857-866 - [c4]Chuxu Zhang, Lu Yu, Yan Wang, Chirag Shah, Xiangliang Zhang:
Collaborative User Network Embedding for Social Recommender Systems. SDM 2017: 381-389 - 2016
- [c3]Lu Yu, Ge Zhou, Chu-Xu Zhang, Junming Huang, Chuang Liu, Zi-Ke Zhang:
RankMBPR: Rank-Aware Mutual Bayesian Personalized Ranking for Item Recommendation. WAIM (1) 2016: 244-256 - [c2]Chuxu Zhang, Lu Yu, Jie Lu, Tao Zhou, Zi-Ke Zhang:
AdaWIRL: A Novel Bayesian Ranking Approach for Personal Big-Hit Paper Prediction. WAIM (2) 2016: 342-355 - [i5]Chuxu Zhang, Chuang Liu, Lu Yu, Zi-Ke Zhang, Tao Zhou:
Identifying the Academic Rising Stars. CoRR abs/1606.05752 (2016) - 2015
- [c1]Ge Zhou, Lu Yu, Chu-Xu Zhang, Chuang Liu, Zi-Ke Zhang, Jianlin Zhang:
A Novel Approach for Generating Personalized Mention List on Micro-Blogging System. ICDM Workshops 2015: 1368-1374 - 2013
- [i4]Ye Sun, Chuang Liu, Chu-Xu Zhang, Zi-Ke Zhang:
Epidemic Spreading on Weighted Complex Networks. CoRR abs/1308.4014 (2013) - [i3]Chu-Xu Zhang, Zi-Ke Zhang, Lu Yu, Chuang Liu, Hao Liu, Xiao-Yong Yan:
Information Filtering via Collaborative User Clustering Modeling. CoRR abs/1309.0691 (2013) - [i2]Zi-Ke Zhang, Chu-Xu Zhang, Xiao-Pu Han, Chuang Liu:
Emergence of Blind Areas in Information Spreading. CoRR abs/1310.4707 (2013) - 2012
- [i1]Chu-Xu Zhang, Zi-Ke Zhang, Chuang Liu:
An Evolving model of online bipartite networks. CoRR abs/1209.6217 (2012)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-21 21:33 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
