2023

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GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection
Yixin Liu | Kaize Ding | Huan Liu | Shirui Pan
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023

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Few-shot Node Classification with Extremely Weak Supervision
Song Wang | Yushun Dong | Kaize Ding | Chen Chen | Jundong Li
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023

2022

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Graph Minimally-supervised Learning
Kaize Ding | Jundong Li | Nitesh V. Chawla | Huan Liu
WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022

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Graph Few-shot Class-incremental Learning
Zhen Tan | Kaize Ding | Ruocheng Guo | Huan Liu
WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022

2021

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Sequential Recommendation for Cold-start Users with Meta Transitional Learning
Jianling Wang | Kaize Ding | James Caverlee
SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021

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Towards Anomaly-resistant Graph Neural Networks via Reinforcement Learning
Kaize Ding | Xuan Shan | Huan Liu
CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021

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AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter
Yushun Dong | Kaize Ding | Brian Jalaian | Shuiwang Ji | Jundong Li
CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021

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Few-shot Network Anomaly Detection via Cross-network Meta-learning
Kaize Ding | Qinghai Zhou | Hanghang Tong | Huan Liu
WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021

2020

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Challenges in Combating COVID-19 Infodemic - Data, Tools, and Ethics
Kaize Ding | Kai Shu | Yichuan Li | Amrita Bhattacharjee | Huan Liu
Proceedings of the CIKM 2020 Workshops co-located with 29th ACM International Conference on Information and Knowledge Management (CIKM 2020), Galway, Ireland, October 19-23, 2020

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Key Opinion Leaders in Recommendation Systems: Opinion Elicitation and Diffusion
Jianling Wang | Kaize Ding | Ziwei Zhu | Yin Zhang | James Caverlee
WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020

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Next-item Recommendation with Sequential Hypergraphs
Jianling Wang | Kaize Ding | Liangjie Hong | Huan Liu | James Caverlee
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020

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Graph Few-shot Learning with Attribute Matching
Ning Wang | Minnan Luo | Kaize Ding | Lingling Zhang | Jundong Li | Qinghua Zheng
CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020

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Graph Prototypical Networks for Few-shot Learning on Attributed Networks
Kaize Ding | Jianling Wang | Jundong Li | Kai Shu | Chenghao Liu | Huan Liu
CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020

2019

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Interactive Anomaly Detection on Attributed Networks
Kaize Ding | Jundong Li | Huan Liu
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, WSDM 2019, Melbourne, VIC, Australia, February 11-15, 2019