Yankai Chen

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 33

Top Topics

Collaborative Filtering

Graph Representation

Supervised Learning

Top Venues

Publications

Yankai Chen, Yixiang Fang, Qiongyan Wang, Xin Cao, Irwin King
Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks. CoRR (2024)
Zexuan Qiu, Jiahong Liu, Yankai Chen, Irwin King
HiHPQ: Hierarchical Hyperbolic Product Quantization for Unsupervised Image Retrieval. CoRR (2024)
Zexuan Qiu, Jiahong Liu, Yankai Chen, Irwin King
HiHPQ: Hierarchical Hyperbolic Product Quantization for Unsupervised Image Retrieval. AAAI (2024)
Yifei Zhang, Hao Zhu, Zixing Song, Yankai Chen, Xinyu Fu, Ziqiao Meng, Piotr Koniusz, Irwin King
Geometric View of Soft Decorrelation in Self-Supervised Learning. KDD (2024)
Yankai Chen, Yixiang Fang, Qiongyan Wang, Xin Cao, Irwin King
Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks. AAAI (2024)
Dongyuan Li, Zhen Wang, Yankai Chen, Renhe Jiang, Weiping Ding, Manabu Okumura
A Survey on Deep Active Learning: Recent Advances and New Frontiers. CoRR (2024)
Xinni Zhang, Yankai Chen, Chenhao Ma, Yixiang Fang, Irwin King
Influential Exemplar Replay for Incremental Learning in Recommender Systems. AAAI (2024)
Yankai Chen, Quoc-Tuan Truong, Xin Shen, Jin Li, Irwin King
Shopping Trajectory Representation Learning with Pre-training for E-commerce Customer Understanding and Recommendation. KDD (2024)
Yifei Zhang, Yankai Chen, Zixing Song, Irwin King
Contrastive Cross-scale Graph Knowledge Synergy. KDD (2023)
Yankai Chen, Jie Zhang, Yixiang Fang, Xin Cao, Irwin King
An Augmented Index-based Efficient Community Search for Large Directed Graphs. CoRR (2023)
Yankai Chen, Yixiang Fang, Yifei Zhang, Irwin King
Bipartite Graph Convolutional Hashing for Effective and Efficient Top-N Search in Hamming Space. WWW (2023)
Menglin Yang, Min Zhou, Rex Ying, Yankai Chen, Irwin King
Hyperbolic Representation Learning: Revisiting and Advancing. ICML (2023)
Yifei Zhang, Hao Zhu, Yankai Chen, Zixing Song, Piotr Koniusz, Irwin King
Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective. NeurIPS (2023)
Menglin Yang, Min Zhou, Rex Ying, Yankai Chen, Irwin King
Hyperbolic Representation Learning: Revisiting and Advancing. CoRR (2023)
Yankai Chen, Yifei Zhang, Menglin Yang, Zixing Song, Chen Ma, Irwin King
WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering. CoRR (2023)
Yankai Chen, Yifei Zhang, Menglin Yang, Zixing Song, Chen Ma, Irwin King
WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering. SIGIR (2023)
Yaozu Wu, Yankai Chen, Zhishuai Yin, Weiping Ding, Irwin King
A survey on graph embedding techniques for biomedical data: Methods and applications. Inf. Fusion 100 (2023)
Yankai Chen, Yifei Zhang, Huifeng Guo, Ruiming Tang, Irwin King
An Effective Post-training Embedding Binarization Approach for Fast Online Top-K Passage Matching. AACL/IJCNLP (2) (2022)
Yankai Chen, Huifeng Guo, Yingxue Zhang, Chen Ma, Ruiming Tang, Jingjie Li, Irwin King
Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation. CoRR (2022)
Yankai Chen, Huifeng Guo, Yingxue Zhang, Chen Ma, Ruiming Tang, Jingjie Li, Irwin King
Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation. KDD (2022)
Yankai Chen, Yaming Yang, Yujing Wang, Jing Bai, Xiangchen Song, Irwin King
Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Personalized Recommendation. ICDE (2022)
Xinni Zhang, Yankai Chen, Cuiyun Gao, Qing Liao, Shenglin Zhao, Irwin King
Knowledge-aware Neural Networks with Personalized Feature Referencing for Cold-start Recommendation. CoRR (2022)
Yankai Chen, Menglin Yang, Yingxue Zhang, Mengchen Zhao, Ziqiao Meng, Jianye Hao, Irwin King
Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation. WSDM (2022)
Yankai Chen, Yifei Zhang, Yingxue Zhang, Huifeng Guo, Jingjie Li, Ruiming Tang, Xiuqiang He, Irwin King
Towards Low-loss 1-bit Quantization of User-item Representations for Top-K Recommendation. CoRR (2021)
Yankai Chen, Menglin Yang, Yingxue Zhang, Mengchen Zhao, Ziqiao Meng, Jian Hao, Irwin King
Modeling Scale-free Graphs for Knowledge-aware Recommendation. CoRR (2021)
Yankai Chen, Yaozu Wu, Shicheng Ma, Irwin King
A Literature Review of Recent Graph Embedding Techniques for Biomedical Data. CoRR (2021)
Yankai Chen, Yaming Yang, Yujing Wang, Jing Bai, Xiangchen Song, Irwin King
Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Recommendation. CoRR (2021)
Yankai Chen, Jie Zhang, Yixiang Fang, Xin Cao, Irwin King
Efficient Community Search over Large Directed Graph: An Augmented Index-based Approach. IJCAI (2020)
Yankai Chen, Yaozu Wu, Shicheng Ma, Irwin King
A Literature Review of Recent Graph Embedding Techniques for Biomedical Data. ICONIP (5) (2020)
Yankai Chen, Yixiang Fang, Reynold Cheng, Yun Li, Xiaojun Chen, Jie Zhang
Exploring Communities in Large Profiled Graphs. CoRR (2019)
Yankai Chen, Yixiang Fang, Reynold Cheng, Yun Li, Xiaojun Chen, Jie Zhang
Exploring Communities in Large Profiled Graphs (Extended Abstract). ICDE (2019)
Yankai Chen, Yixiang Fang, Reynold Cheng, Yun Li, Xiaojun Chen, Jie Zhang
Exploring Communities in Large Profiled Graphs. IEEE Trans. Knowl. Data Eng. 31 (8) (2019)
Yixiang Fang, Reynold Cheng, Yankai Chen, Siqiang Luo, Jiafeng Hu
Effective and efficient attributed community search. VLDB J. 26 (6) (2017)