Yankai Chen
Orcid: 0000-0001-5741-2047Affiliations:
- Cornell University, NY, USA
- Chinese University of Hong Kong, Hong Kong (PhD 2023)
According to our database1,
Yankai Chen
authored at least 44 papers
between 2017 and 2025.
Collaborative distances:
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Bibliography
2025
Learning Binarized Representations with Pseudo-positive Sample Enhancement for Efficient Graph Collaborative Filtering.
ACM Trans. Inf. Syst., September, 2025
From Web Search towards Agentic Deep Research: Incentivizing Search with Reasoning Agents.
CoRR, June, 2025
A Call for Collaborative Intelligence: Why Human-Agent Systems Should Precede AI Autonomy.
CoRR, June, 2025
CoRR, May, 2025
IEEE Trans. Neural Networks Learn. Syst., April, 2025
TestNUC: Enhancing Test-Time Computing Approaches through Neighboring Unlabeled Data Consistency.
CoRR, February, 2025
Multi-Agent Autonomous Driving Systems with Large Language Models: A Survey of Recent Advances.
CoRR, February, 2025
CSPO: Cross-Market Synergistic Stock Price Movement Forecasting with Pseudo-volatility Optimization.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025
TRACE: Intra-visit Clinical Event Nowcasting via Effective Patient Trajectory Encoding.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025
Semi-supervised Node Importance Estimation with Informative Distribution Modeling for Uncertainty Regularization.
Proceedings of the ACM on Web Conference 2025, 2025
UTCS: Effective Unsupervised Temporal Community Search with Pre-training of Temporal Dynamics and Subgraph Knowledge.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025
TestNUC: Enhancing Test-Time Computing Approaches and Scaling through Neighboring Unlabeled Data Consistency.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
2024
IEEE Trans. Knowl. Data Eng., December, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Shopping Trajectory Representation Learning with Pre-training for E-commerce Customer Understanding and Recommendation.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
EASE: Learning Lightweight Semantic Feature Adapters from Large Language Models for CTR Prediction.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Effective Job-market Mobility Prediction with Attentive Heterogeneous Knowledge Learning and Synergy.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
HiHPQ: Hierarchical Hyperbolic Product Quantization for Unsupervised Image Retrieval.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
A survey on graph embedding techniques for biomedical data: Methods and applications.
Inf. Fusion, December, 2023
CoRR, 2023
Bipartite Graph Convolutional Hashing for Effective and Efficient Top-N Search in Hamming Space.
Proceedings of the ACM Web Conference 2023, 2023
WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the International Conference on Machine Learning, 2023
2022
Knowledge-aware Neural Networks with Personalized Feature Referencing for Cold-start Recommendation.
CoRR, 2022
Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022
Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
An Effective Post-training Embedding Binarization Approach for Fast Online Top-K Passage Matching.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022
Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Personalized Recommendation.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
2021
Towards Low-loss 1-bit Quantization of User-item Representations for Top-K Recommendation.
CoRR, 2021
Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Recommendation.
CoRR, 2021
2020
Efficient Community Search over Large Directed Graph: An Augmented Index-based Approach.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the Neural Information Processing - 27th International Conference, 2020
2019
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019
2017