Yang Song

Orcid: 0000-0001-8252-9626

Affiliations:
  • BOSS Zhipin NLP Center, Beijing, China


According to our database1, Yang Song authored at least 30 papers between 2019 and 2024.

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Bibliography

2024
Bilateral Multi-Behavior Modeling for Reciprocal Recommendation in Online Recruitment.
IEEE Trans. Knowl. Data Eng., November, 2024

Mix-CPT: A Domain Adaptation Framework via Decoupling Knowledge Learning and Format Alignment.
CoRR, 2024

Mixture of In-Context Experts Enhance LLMs' Long Context Awareness.
CoRR, 2024

Facilitating Multi-Role and Multi-Behavior Collaboration of Large Language Models for Online Job Seeking and Recruiting.
CoRR, 2024

KG-Agent: An Efficient Autonomous Agent Framework for Complex Reasoning over Knowledge Graph.
CoRR, 2024

Early Joint Learning of Emotion Information Makes MultiModal Model Understand You Better.
Proceedings of the 2nd International Workshop on Multimodal and Responsible Affective Computing, 2024

Revisiting Reciprocal Recommender Systems: Metrics, Formulation, and Method.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Bridging the Information Gap Between Domain-Specific Model and General LLM for Personalized Recommendation.
Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

Your Career Path Matters in Person-Job Fit.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Sequential ensemble learning for next item recommendation.
Knowl. Based Syst., October, 2023

Bridging the Information Gap Between Domain-Specific Model and General LLM for Personalized Recommendation.
CoRR, 2023

Enhancing Job Recommendation through LLM-based Generative Adversarial Networks.
CoRR, 2023

EZInterviewer: To Improve Job Interview Performance with Mock Interview Generator.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Reciprocal Sequential Recommendation.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Bilateral Sequential Hypergraph Convolution Network for Reciprocal Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 2023

Sequential Hypergraph Convolution Network for Next Item Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2023

2022
Modeling Two-Way Selection Preference for Person-Job Fit.
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Leveraging Search History for Improving Person-Job Fit.
Proceedings of the Database Systems for Advanced Applications, 2022

Market-Aware Dynamic Person-Job Fit with Hierarchical Reinforcement Learning.
Proceedings of the Database Systems for Advanced Applications, 2022

Personalized Query Suggestion with Searching Dynamic Flow for Online Recruitment.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Beyond Matching: Modeling Two-Sided Multi-Behavioral Sequences for Dynamic Person-Job Fit.
Proceedings of the Database Systems for Advanced Applications, 2021

2020
Learning to Match Jobs with Resumes from Sparse Interaction Data using Multi-View Co-Teaching Network.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Generalized Collaborative Personalized Ranking for Recommendation.
Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

2019
User preference modeling based on meta paths and diversity regularization in heterogeneous information networks.
Knowl. Based Syst., 2019

Interview Choice Reveals Your Preference on the Market: To Improve Job-Resume Matching through Profiling Memories.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Representation Learning with Ordered Relation Paths for Knowledge Graph Completion.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Domain Adaptation for Person-Job Fit with Transferable Deep Global Match Network.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Towards Effective and Interpretable Person-Job Fitting.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Generating Long and Informative Reviews with Aspect-Aware Coarse-to-Fine Decoding.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019


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