Kaize Ding

2026

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Rigorizing Retrieval-augmented Generation with Structured Knowledge Intelligence (6 Hrs).
Zhisheng Qi|Yongjia Lei|Haoyu Han|Harry Shomer|Kaize Ding|Yu Zhang|Ryan A. Rossi|Hui Liu|Yu Wang
Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM 2026, Boise, ID, USA, February 22-26, 2026

2025

doi dblp
Fact or Facsimile? Evaluating the Factual Robustness of Modern Retrievers.
Haoyu Wu|Qingcheng Zeng|Kaize Ding
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025
doi dblp
Uncertainty Quantification for Multiple-Choice Questions is Just One-Token Deep.
Qingcheng Zeng|Mingyu Jin|Qinkai Yu|Zhenting Wang|Wenyue Hua|Guangyan Sun|Yanda Meng|Shiqing Ma|Qifan Wang|Felix Juefei-Xu|Fan Yang|Kaize Ding|Ruixiang Tang|Yongfeng Zhang
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025
doi dblp
Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction Models.
Kexin Zhang|Fuyuan Lyu|Xing Tang|Dugang Liu|Chen Ma|Kaize Ding|Xiuqiang He|Xue Liu
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025
doi dblp
Resource-Efficient Learning for the Web.
Chuxu Zhang|Kaize Ding|Jundong Li|Dongkuan Xu|Haoyu Wang|Derek Zhiyuan Cheng|Huan Liu
Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025
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RelWeb 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
Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025

2024

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Data Quality-aware Graph Machine Learning.
Yu Wang|Kaize Ding|Xiaorui Liu|Jian Kang|Ryan A. Rossi|Tyler Derr
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024
doi dblp
The 5th International Workshop on Machine Learning on Graphs (MLoG).
Tyler Derr|Yao Ma|Kaize Ding|Tong Zhao|Nesreen K. Ahmed
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024

2023

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STREAMS: Towards Spatio-Temporal Causal Discovery with Reinforcement Learning for Streamflow Rate Prediction.
Paras Sheth|Ahmadreza Mosallanezhad|Kaize Ding|Reepal Shah|John Sabo|Huan Liu|K. Selçuk Candan
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023
doi dblp
Learning Node Abnormality with Weak Supervision.
Qinghai Zhou|Kaize Ding|Huan Liu|Hanghang Tong
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023
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HyperFormer: Learning Expressive Sparse Feature Representations via Hypergraph Transformer.
Kaize Ding|Albert Jiongqian Liang|Bryan Perozzi|Ting Chen|Ruoxi Wang|Lichan Hong|Ed H. Chi|Huan Liu|Derek Zhiyuan Cheng
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023
doi dblp
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.
doi dblp
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
doi dblp
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

doi dblp
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
doi dblp
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
doi dblp
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
doi dblp
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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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
doi dblp
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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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.
doi dblp
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
doi dblp
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

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