Kaize Ding

发表

InterSpot: Interactive Spammer Detection in Social Media

Huan Liu, Kaize Ding, Jundong Li, 2019, IJCAI.

Next-item Recommendation with Sequential Hypergraphs

James Caverlee, Huan Liu, Kaize Ding, 2020, SIGIR.

Graph Few-shot Learning with Attribute Matching

Qinghua Zheng, Lingling Zhang, Minnan Luo, 2020, CIKM.

Challenges in Combating COVID-19 Infodemic - Data, Tools, and Ethics pdf

Yichuan Li, Kaize Ding, Amrita Bhattacharjee, 2020, CIKM.

Graph Neural Networks with High-order Feature Interactions pdf

Huan Liu, Chenghao Liu, Yichuan Li, 2019, ArXiv.

Key Opinion Leaders in Recommendation Systems: Opinion Elicitation and Diffusion

Yin Zhang, James Caverlee, Kaize Ding, 2020, WSDM.

Interactive Anomaly Detection on Attributed Networks

Huan Liu, Kaize Ding, Jundong Li, 2019, WSDM.

Be More with Less: Hypergraph Attention Networks for Inductive Text Classification pdf

Huan Liu, Dingcheng Li, Kaize Ding, 2020, EMNLP.

Deep Anomaly Detection on Attributed Networks

Huan Liu, Kaize Ding, Jundong Li, 2019, SDM.

Graph Prototypical Networks for Few-shot Learning on Attributed Networks

Huan Liu, Chenghao Liu, Kaize Ding, 2020, CIKM.

Combating disinformation in a social media age

Huan Liu, Tahora H. Nazer, Kaize Ding, 2020, WIREs Data Mining Knowl. Discov..

Fact-Enhanced Synthetic News Generation pdf

Huan Liu, Yichuan Li, Kaize Ding, 2020, AAAI.

Inductive Anomaly Detection on Attributed Networks

Huan Liu, Kaize Ding, Jundong Li, 2020, IJCAI.

Meta Propagation Networks for Graph Few-shot Semi-supervised Learning pdf

James Caverlee, Kaize Ding, Huan Liu, 2021, ArXiv.

Learning to Selectively Learn for Weakly-supervised Paraphrase Generation

Dingcheng Li, Kaize Ding, Chenlei Guo, 2021, EMNLP.

Graph Few-shot Class-incremental Learning pdf

Ruocheng Guo, Kaize Ding, Zhen Tan, 2021, Web Search and Data Mining.

Weakly-supervised Graph Meta-learning for Few-shot Node Classification pdf

James Caverlee, Kaize Ding, Huan Liu, 2021, ArXiv.

Towards Anomaly-resistant Graph Neural Networks via Reinforcement Learning

Kaize Ding, Xuan Shan, Huan Liu, 2021, CIKM.

GLOW : Global Weighted Self-Attention Network for Web Search

Kaize Ding, Angen Luo, Xuan Shan, 2020, 2021 IEEE International Conference on Big Data (Big Data).

Session-based Recommendation with Hypergraph Attention Networks pdf

James Caverlee, Kaize Ding, Ziwei Zhu, 2021, SDM.

AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter

Shuiwang Ji, Kaize Ding, Borhan Jalaeian, 2021, CIKM.

FBAdTracker: An Interactive Data Collection and Analysis Tool for Facebook Advertisements pdf

Kaize Ding, Huan Liu, Ujun Jeong, 2021, ArXiv.

Sequential Recommendation for Cold-start Users with Meta Transitional Learning

James Caverlee, Kaize Ding, Jianling Wang, 2021, SIGIR.

Few-shot Network Anomaly Detection via Cross-network Meta-learning

Hanghang Tong, Kaize Ding, Huan Liu, 2021, WWW.