Kaize Ding - researchr alias

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Viewing Publication 1 - 51 from 51

2024

2023

GRENADE: Graph-Centric Language Model for Self-Supervised Representation Learning on Text-Attributed GraphsYichuan Li 0001, Kaize Ding, Kyumin Lee. emnlp 2023: 2745-2757 [doi]

Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive LearningKaize Ding, Yancheng Wang, Yingzhen Yang, Huan Liu 0001. AAAI 2023: 7378-7386 [doi]

HyperFormer: Learning Expressive Sparse Feature Representations via Hypergraph TransformerKaize Ding, Albert Jiongqian Liang, Bryan Perozzi, Ting Chen, Ruoxi Wang, Lichan Hong, Ed H. Chi, Huan Liu 0001, Derek Zhiyuan Cheng. sigir 2023: 2062-2066 [doi]

GOOD-D: On Unsupervised Graph Out-Of-Distribution DetectionYixin Liu, Kaize Ding, Huan Liu 0001, Shirui Pan. wsdm 2023: 339-347 [doi]

Learning Strong Graph Neural Networks with Weak InformationYixin Liu, Kaize Ding, Jianling Wang, Vincent C. S. Lee, Huan Liu 0001, Shirui Pan. kdd 2023: 1559-1571 [doi]

Towards Self-Interpretable Graph-Level Anomaly DetectionYixin Liu, Kaize Ding, Qinghua Lu 0001, Fuyi Li, Leo Yu Zhang, Shirui Pan. nips 2023: [doi]

STREAMS: Towards Spatio-Temporal Causal Discovery with Reinforcement Learning for Streamflow Rate PredictionParas Sheth, Ahmadreza Mosallanezhad, Kaize Ding, Reepal Shah, John Sabo, Huan Liu, K. Selçuk Candan. CIKM 2023: 4815-4821 [doi]

Virtual Node Tuning for Few-shot Node ClassificationZhen Tan, Ruocheng Guo, Kaize Ding, Huan Liu. kdd 2023: 2177-2188 [doi]

Federated Few-shot LearningSong Wang, Xingbo Fu, Kaize Ding, Chen Chen, Huiyuan Chen, Jundong Li. kdd 2023: 2374-2385 [doi]

Few-shot Node Classification with Extremely Weak SupervisionSong Wang, Yushun Dong, Kaize Ding, Chen Chen, Jundong Li. wsdm 2023: 276-284 [doi]

Keypoint-Augmented Self-Supervised Learning for Medical Image Segmentation with Limited AnnotationZhangsihao Yang, Mengwei Ren, Kaize Ding, Guido Gerig, Yalin Wang 0001. nips 2023: [doi]

Learning Node Abnormality with Weak SupervisionQinghai Zhou, Kaize Ding, Huan Liu 0001, Hanghang Tong. CIKM 2023: 3584-3594 [doi]

2022

Meta Propagation Networks for Graph Few-shot Semi-supervised LearningKaize Ding, Jianling Wang, James Caverlee, Huan Liu 0001. AAAI 2022: 6524-6531 [doi]

Toward Graph Minimally-Supervised LearningKaize Ding, Chuxu Zhang, Jie Tang, Nitesh V. Chawla, Huan Liu 0001. kdd 2022: 4782-4783 [doi]

Data Augmentation for Deep Graph Learning: A SurveyKaize Ding, Zhe Xu, Hanghang Tong, Huan Liu 0001. sigkdd, 24(2):61-77, 2022. [doi]

Graph Minimally-supervised LearningKaize Ding, Jundong Li, Nitesh V. Chawla, Huan Liu. wsdm 2022: 1620-1622 [doi]

Cross-Domain Graph Anomaly DetectionKaize Ding, Kai Shu, Xuan Shan, Jundong Li, Huan Liu 0001. tnn, 33(6):2406-2415, 2022. [doi]

Nothing Stands Alone: Relational Fake News Detection with Hypergraph Neural NetworksUjun Jeong, Kaize Ding, Lu Cheng, Ruocheng Guo, Kai Shu, Huan Liu 0001. bigdataconf 2022: 596-605 [doi]

Classifying COVID-19 Related Meta Ads Using Discourse Representation Through a HypergraphUjun Jeong, Zeyad Alghamdi, Kaize Ding, Lu Cheng, Baoxin Li, Huan Liu 0001. sbp-brims 2022: 35-45 [doi]

BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed GraphsKay Liu, Yingtong Dou, Yue Zhao, Xueying Ding, Xiyang Hu, Ruitong Zhang, Kaize Ding, Canyu Chen, Hao Peng, Kai Shu, Lichao Sun 0001, Jundong Li, George H. Chen, Zhihao Jia, Philip S. Yu. nips 2022: [doi]

Causal Disentanglement with Network Information for Debiased RecommendationsParas Sheth, Ruocheng Guo, Kaize Ding, Lu Cheng, K. Selçuk Candan, Huan Liu 0001. sisap 2022: 265-273 [doi]

Graph Few-shot Class-incremental LearningZhen Tan, Kaize Ding, Ruocheng Guo, Huan Liu 0001. wsdm 2022: 987-996 [doi]

Supervised Graph Contrastive Learning for Few-Shot Node ClassificationZhen Tan, Kaize Ding, Ruocheng Guo, Huan Liu 0001. pkdd 2023: 394-411 [doi]

Transductive Linear Probing: A Novel Framework for Few-Shot Node ClassificationZhen Tan, Song Wang, Kaize Ding, Jundong Li, Huan Liu 0001. log 2022: 4 [doi]

Task-Adaptive Few-shot Node ClassificationSong Wang, Kaize Ding, Chuxu Zhang, Chen Chen, Jundong Li. kdd 2022: 1910-1919 [doi]

Generalized Few-Shot Node ClassificationZhe Xu, Kaize Ding, Yu-Xiong Wang, Huan Liu 0001, Hanghang Tong. icdm 2022: 608-617 [doi]

Few-Shot Learning on GraphsChuxu Zhang, Kaize Ding, Jundong Li, Xiangliang Zhang 0001, Yanfang Ye, Nitesh V. Chawla, Huan Liu 0001. IJCAI 2022: 5662-5669 [doi]

2021

Towards Anomaly-resistant Graph Neural Networks via Reinforcement LearningKaize Ding, Xuan Shan, Huan Liu 0001. CIKM 2021: 2979-2983 [doi]

Few-shot Network Anomaly Detection via Cross-network Meta-learningKaize Ding, Qinghai Zhou, Hanghang Tong, Huan Liu 0001. WWW 2021: 2448-2456 [doi]

Learning to Selectively Learn for Weakly-supervised Paraphrase GenerationKaize Ding, Dingcheng Li, Alexander Hanbo Li, Xing Fan, Chenlei Guo, Yang Liu, Huan Liu 0001. emnlp 2021: 5930-5940 [doi]

AdaGNN: Graph Neural Networks with Adaptive Frequency Response FilterYushun Dong, Kaize Ding, Brian Jalaian, Shuiwang Ji, Jundong Li. CIKM 2021: 392-401 [doi]

GLOW : Global Weighted Self-Attention Network for Web SearchXuan Shan, Chuanjie Liu, Yiqian Xia, Qi Chen, Yusi Zhang, Kaize Ding, Yaobo Liang, Angen Luo, Yuxiang Luo. bigdataconf 2021: 519-528 [doi]

Fact-Enhanced Synthetic News GenerationKai Shu, Yichuan Li, Kaize Ding, Huan Liu. AAAI 2021: 13825-13833 [doi]

Sequential Recommendation for Cold-start Users with Meta Transitional LearningJianling Wang, Kaize Ding, James Caverlee. sigir 2021: 1783-1787 [doi]

Session-based Recommendation with Hypergraph Attention NetworksJianling Wang, Kaize Ding, Ziwei Zhu, James Caverlee. sdm 2021: 82-90 [doi]

2020

Challenges in Combating COVID-19 Infodemic - Data, Tools, and EthicsKaize Ding, Kai Shu, Yichuan Li, Amrita Bhattacharjee, Huan Liu 0001. CIKM 2020: [doi]

Be More with Less: Hypergraph Attention Networks for Inductive Text ClassificationKaize Ding, Jianling Wang, Jundong Li, Dingcheng Li, Huan Liu 0001. emnlp 2020: 4927-4936 [doi]

Graph Prototypical Networks for Few-shot Learning on Attributed NetworksKaize Ding, Jianling Wang, Jundong Li, Kai Shu, Chenghao Liu, Huan Liu 0001. CIKM 2020: 295-304 [doi]

Inductive Anomaly Detection on Attributed NetworksKaize Ding, Jundong Li, Nitin Agarwal, Huan Liu. IJCAI 2020: 1288-1294 [doi]

Combating disinformation in a social media ageKai Shu, Amrita Bhattacharjee, Faisal Alatawi, Tahora H. Nazer, Kaize Ding, Mansooreh Karami, Huan Liu 0001. widm, 10(6), 2020. [doi]

Key Opinion Leaders in Recommendation Systems: Opinion Elicitation and DiffusionJianling Wang, Kaize Ding, Ziwei Zhu, Yin Zhang, James Caverlee. wsdm 2020: 636-644 [doi]

Next-item Recommendation with Sequential HypergraphsJianling Wang, Kaize Ding, Liangjie Hong, Huan Liu 0001, James Caverlee. sigir 2020: 1101-1110 [doi]

Graph Few-shot Learning with Attribute MatchingNing Wang, Minnan Luo, Kaize Ding, Lingling Zhang, Jundong Li, Qinghua Zheng. CIKM 2020: 1545-1554 [doi]

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