Yue Ding

2026

Decoupling User Features for User Cold-Start App Recommendation: Static Attributes versus Behavioral Sequences.

Bin Chen|Yu Kang|Li Ma|Yue Ding|Xiaofeng Gao

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM 2026, Boise, ID, USA, February 22-26, 2026

2025

From Anchors to Answers: A Novel Node Tokenizer for Integrating Graph Structure into Large Language Models.

Yanbiao Ji|Chang Liu|Xin Chen|Dan Luo|Mei Li|Yue Ding|Wenqing Lin|Hongtao Lu

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025

Towards Personalized Federated Multi-Scenario Multi-Task Recommendation.

Yue Ding|Yanbiao Ji|Xun Cai|Xin Xin|Yuxiang Lu|Suizhi Huang|Chang Liu|Xiaofeng Gao|Tsuyoshi Murata|Hongtao Lu

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025

2024

Federated Multi-Task Learning on Non-IID Data Silos: An Experimental Study.

Yuwen Yang|Yuxiang Lu|Suizhi Huang|Shalayiding Sirejiding|Hongtao Lu|Yue Ding

Proceedings of the 2024 International Conference on Multimedia Retrieval, ICMR 2024, Phuket, Thailand, June 10-14, 2024

Debiasing Sequential Recommenders through Distributionally Robust Optimization over System Exposure.

Jiyuan Yang|Yue Ding|Yidan Wang|Pengjie Ren|Zhumin Chen|Fei Cai|Jun Ma|Rui Zhang|Zhaochun Ren|Xin Xin

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024

2023

Position-Aware Subgraph Neural Networks with Data-Efficient Learning.

Chang Liu|Yuwen Yang|Zhe Xie|Hongtao Lu|Yue Ding

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023.

2022

Numerical Feature Representation with Hybrid N-ary Encoding.

Bo Chen|Huifeng Guo|Weiwen Liu|Yue Ding|Yunzhe Li|Wei Guo|Yichao Wang|Zhicheng He|Ruiming Tang|Rui Zhang

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

2021

Semi-deterministic and Contrastive Variational Graph Autoencoder for Recommendation.

Yue Ding|Yuxiang Shi|Bo Chen|Chenghua Lin|Hongtao Lu|Jie Li|Ruiming Tang|Dong Wang

CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021

Extracting Attentive Social Temporal Excitation for Sequential Recommendation.

Yunzhe Li|Yue Ding|Bo Chen|Xin Xin|Yule Wang|Yuxiang Shi|Ruiming Tang|Dong Wang

CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021

Decomposed Collaborative Filtering: Modeling Explicit and Implicit Factors For Recommender Systems.

Hao Chen|Xin Xin|Dong Wang|Yue Ding

WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021

Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation.

Zhe Xie|Chengxuan Liu|Yichi Zhang|Hongtao Lu|Dong Wang|Yue Ding

WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021.

2020

TGCN: Tag Graph Convolutional Network for Tag-Aware Recommendation.

Bo Chen|Wei Guo|Ruiming Tang|Xin Xin|Yue Ding|Xiuqiang He|Dong Wang

CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020