Jin Chen

According to our database, Jin Chen authored at least 22 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

An Incremental Update Framework for Online Recommenders with Data-Driven Prior.

Chen Yang, Jin Chen, Qian Yu, Xiangdong Wu, Kui Ma, Zihao Zhao, Zhiwei Fang, Wenlong Chen, Chaosheng Fan, Jie He, Changping Peng, Zhangang Lin, Jingping Shao

CoRR, 2023

Deep Group Interest Modeling of Full Lifelong User Behaviors for CTR Prediction.

Qi Liu, Xuyang Hou, Haoran Jin, Jin Chen, Zhe Wang, Defu Lian, Tan Qu, Jia Cheng, Jun Lei

CoRR, 2023

Cooperative Retriever and Ranker in Deep Recommenders.

Xu Huang, Defu Lian, Jin Chen, Liu Zheng, Xing Xie, Enhong Chen

Proceedings of the ACM Web Conference 2023, 2023

AutoS2AE: Automate to Regularize Sparse Shallow Autoencoders for Recommendation.

Rui Fan, Yuanhao Pu, Jin Chen, Zhihao Zhu, Defu Lian, Enhong Chen

Proceedings of the ACM Web Conference 2023, 2023

RecStudio: Towards a Highly-Modularized Recommender System.

Defu Lian, Xu Huang, Xiaolong Chen, Jin Chen, Xingmei Wang, Yankai Wang, Haoran Jin, Rui Fan, Zheng Liu, Le Wu, Enhong Chen

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

SimiDTR: Deep Trajectory Recovery with Enhanced Trajectory Similarity.

Yupu Zhang, Liwei Deng, Yan Zhao, Jin Chen, Jiandong Xie, Kai Zheng

Proceedings of the Database Systems for Advanced Applications, 2023

Cache-Enhanced InBatch Sampling with Difficulty-Based Replacement Strategies for Learning Recommenders.

Yucheng Li, Defu Lian, Jin Chen

Proceedings of the Database Systems for Advanced Applications. DASFAA 2023 International Workshops, 2023

Batch-Mix Negative Sampling for Learning Recommendation Retrievers.

Yongfu Fan, Jin Chen, Yongquan Jiang, Defu Lian, Fangda Guo, Kai Zheng

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

An Incremental Update Framework for Online Recommenders with Data-Driven Prior.

Chen Yang, Jin Chen, Qian Yu, Xiangdong Wu, Kui Ma, Zihao Zhao, Zhiwei Fang, Wenlong Chen, Chaosheng Fan, Jie He, Changping Peng, Zhangang Lin, Jingping Shao

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Ranking-Based Implicit Regularization for One-Class Collaborative Filtering.

Defu Lian, Jin Chen, Kai Zheng, Enhong Chen, Xiaofang Zhou

IEEE Trans. Knowl. Data Eng., 2022

Cooperative Retriever and Ranker in Deep Recommenders.

Xu Huang, Defu Lian, Jin Chen, Zheng Liu, Xing Xie, Enhong Chen

CoRR, 2022

Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering.

Jin Chen, Defu Lian, Binbin Jin, Xu Huang, Kai Zheng, Enhong Chen

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Learning Recommenders for Implicit Feedback with Importance Resampling.

Jin Chen, Defu Lian, Binbin Jin, Kai Zheng, Enhong Chen

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Improving Implicit Alternating Least Squares with Ring-based Regularization.

Rui Fan, Jin Chen, Jin Zhang, Defu Lian, Enhong Chen

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever.

Jin Chen, Defu Lian, Yucheng Li, Baoyun Wang, Kai Zheng, Enhong Chen

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Efficient Join Order Selection Learning with Graph-based Representation.

Jin Chen, Guanyu Ye, Yan Zhao, Shuncheng Liu, Liwei Deng, Xu Chen, Rui Zhou, Kai Zheng

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Efficient Learning with Pseudo Labels for Query Cost Estimation.

Shuncheng Liu, Xu Chen, Yan Zhao, Jin Chen, Rui Zhou, Kai Zheng

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Automated Creative Optimization for E-Commerce Advertising.

Jin Chen, Ju Xu, Gangwei Jiang, Tiezheng Ge, Zhiqiang Zhang, Defu Lian, Kai Zheng

Proceedings of the WWW '21: The Web Conference 2021, 2021

xLightFM: Extremely Memory-Efficient Factorization Machine.

Gangwei Jiang, Hao Wang, Jin Chen, Haoyu Wang, Defu Lian, Enhong Chen

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Efficient Optimal Selection for Composited Advertising Creatives with Tree Structure.

Jin Chen, Tiezheng Ge, Gangwei Jiang, Zhiqiang Zhang, Defu Lian, Kai Zheng

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Collaborative Filtering With Ranking-Based Priors on Unknown Ratings.

Jin Chen, Defu Lian, Kai Zheng

IEEE Intell. Syst., 2020

2019

Improving One-Class Collaborative Filtering via Ranking-Based Implicit Regularizer.

Jin Chen, Defu Lian, Kai Zheng

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019