2023

doi dblp
Interpretable Research Interest Shift Detection with Temporal Heterogeneous Graphs
Qiang Yang | Changsheng Ma | Qiannan Zhang | Xin Gao | Chuxu Zhang | Xiangliang Zhang
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023

doi dblp
Self-Supervised Graph Structure Refinement for Graph Neural Networks
Jianan Zhao | Qianlong Wen | Mingxuan Ju | Chuxu Zhang | Yanfang Ye
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023

2022

doi dblp
Grounded Task Prioritization with Context-Aware Sequential Ranking
Chuxu Zhang | Julia Kiseleva | Sujay Kumar Jauhar | Ryen W. White
2022 Volume 40 Issue 4

doi dblp
Interpretable Relation Learning on Heterogeneous Graphs
Qiang Yang | Qiannan Zhang | Chuxu Zhang | Xiangliang Zhang
WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022

doi dblp
Look 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
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022

doi dblp
A Biased Sampling Method for Imbalanced Personalized Ranking
Lu Yu | Shichao Pei | Feng Zhu | Longfei Li | Jun Zhou | Chuxu Zhang | Xiangliang Zhang
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022

doi dblp
Malicious Repositories Detection with Adversarial Heterogeneous Graph Contrastive Learning
Yiyue Qian | Yiming Zhang | Nitesh V. Chawla | Yanfang Ye | Chuxu Zhang
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022

2021

doi dblp
Inductive Contextual Relation Learning for Personalization
Chuxu Zhang | Huaxiu Yao | Lu Yu | Chao Huang | Dongjin Song | Haifeng Chen | Meng Jiang | Nitesh V. Chawla
2021 Volume 39 Issue 3

doi dblp
RxNet: Rx-refill Graph Neural Network for Overprescribing Detection
Jianfei Zhang | Ai-Te Kuo | Jianan Zhao | Qianlong Wen | Erin L. Winstanley | Chuxu Zhang | Yanfang Ye
CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021

doi dblp
Recipe Representation Learning with Networks
Yijun Tian | Chuxu Zhang | Ronald A. Metoyer | Nitesh V. Chawla
CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021

doi dblp
Few-Shot Graph Learning for Molecular Property Prediction
Zhichun Guo | Chuxu Zhang | Wenhao Yu | John Herr | Olaf Wiest | Meng Jiang | Nitesh V. Chawla
WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021

2020

doi dblp
Learning from Heterogeneous Networks: Methods and Applications
Chuxu Zhang
WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020

doi dblp
GraSeq: Graph and Sequence Fusion Learning for Molecular Property Prediction
Zhichun Guo | Wenhao Yu | Chuxu Zhang | Meng Jiang | Nitesh V. Chawla
CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020

doi dblp
Hierarchically Structured Transformer Networks for Fine-Grained Spatial Event Forecasting
Xian Wu | Chao Huang | Chuxu Zhang | Nitesh V. Chawla
WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020

2019

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SHNE: Representation Learning for Semantic-Associated Heterogeneous Networks
Chuxu Zhang | Ananthram Swami | Nitesh V. Chawla
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, WSDM 2019, Melbourne, VIC, Australia, February 11-15, 2019

doi dblp
Deep Dynamic Fusion Network for Traffic Accident Forecasting
Chao Huang | Chuxu Zhang | Peng Dai | Liefeng Bo
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019

doi dblp
MiST: 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
The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019

2018

doi dblp
Camel: Content-Aware and Meta-path Augmented Metric Learning for Author Identification
Chuxu Zhang | Chao Huang | Lu Yu | Xiangliang Zhang | Nitesh V. Chawla
Proceedings of the 2018 World Wide Web Conference on World Wide Web, WWW 2018, Lyon, France, April 23-27, 2018