Chenyang Wang

Orcid: 0000-0002-8918-260X

Affiliations:
  • Tsinghua University, Beijing, China


According to our database1, Chenyang Wang authored at least 19 papers between 2018 and 2024.

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Timeline

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Bibliography

2024
Discrete Conditional Diffusion for Reranking in Recommendation.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

2023
Sequential Recommendation with Multiple Contrast Signals.
ACM Trans. Inf. Syst., January, 2023

Revisiting Negative Sampling vs. Non-sampling in Implicit Recommendation.
ACM Trans. Inf. Syst., January, 2023

Two-sided Calibration for Quality-aware Responsible Recommendation.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Collaborative Word-based Pre-trained Item Representation for Transferable Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 2023

2022
Towards Ubiquitous Personalized Music Recommendation with Smart Bracelets.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

Identifying Gambling Websites with Co-training.
Proceedings of the 34th International Conference on Software Engineering and Knowledge Engineering, 2022

Towards Representation Alignment and Uniformity in Collaborative Filtering.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Target Interest Distillation for Multi-Interest Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Toward Dynamic User Intention: Temporal Evolutionary Effects of Item Relations in Sequential Recommendation.
ACM Trans. Inf. Syst., 2021

Temporal Cross-Effects in Knowledge Tracing.
Proceedings of the WSDM '21, 2021

Towards Dynamic User Intention in Sequential Recommendation.
Proceedings of the WSDM '21, 2021

A Difficulty-Aware Framework for Churn Prediction and Intervention in Games.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Graph Heterogeneous Multi-Relational Recommendation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Make It a Chorus: Knowledge- and Time-aware Item Modeling for Sequential Recommendation.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

2019
Modeling Item-Specific Temporal Dynamics of Repeat Consumption for Recommender Systems.
Proceedings of the World Wide Web Conference, 2019

Jointly Learning Explainable Rules for Recommendation with Knowledge Graph.
Proceedings of the World Wide Web Conference, 2019

An Efficient Adaptive Transfer Neural Network for Social-aware Recommendation.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

2018
Your Tweets Reveal What You Like: Introducing Cross-media Content Information into Multi-domain Recommendation.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018


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