Jin Chen - RankMe

41 papers A* 17A 4Journal 17Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Adaptive Sampled Softmax with Inverted Multi-Index: Methods, Theory and Applications. CoRR Jin Chen, Jin Zhang, Xu Huang, Yi Yang, Defu Lian, Enhong Chen
2025	J	`jnl`	Automated Sparse and Low-Rank Shallow Autoencoders for Recommendation. Trans. Recomm. Syst. Yuanhao Pu, Rui Fan, Jin Chen, Zhihao Zhu, Defu Lian, Enhong Chen
2025	J	`jnl`	Dual Test-Time Training for Out-of-Distribution Recommender System. IEEE Trans. Knowl. Data Eng. Xihong Yang, Yiqi Wang, Jin Chen, Wenqi Fan, Xiangyu Zhao, En Zhu, Xinwang Liu, Defu Lian
2025	A	`conf`	Enhancing Multi-Behavior Sequential Recommenders with Behavior-Aware Regularization. CIKM Yongfu Fan, Jin Chen, Yangzixuan Jiao, Ximu Zeng, Liwei Deng, Kai Zheng
2025	J	`jnl`	NDCG-Consistent Softmax Approximation with Accelerated Convergence. CoRR Yuanhao Pu, Defu Lian, Xiaolong Chen, Xu Huang, Jin Chen, Enhong Chen
2025	A*	`conf`	Towards Accurate Distance Estimation for Distribution-Aware c-ANN Search. ICDE Liwei Deng, Penghao Chen, Ximu Zeng, Yuchen Fang, Jin Chen, Yan Zhao
2025	—	`conf`	Understanding the Effect of Loss Functions on the Generalization of Recommendations. KDD (1) Yuanhao Pu, Defu Lian, Xiaolong Chen, Jin Chen, Ze Liu, Enhong Chen
2024	J	`jnl`	Dual Test-time Training for Out-of-distribution Recommender System. CoRR Xihong Yang, Yiqi Wang, Jin Chen, Wenqi Fan, Xiangyu Zhao, En Zhu, Xinwang Liu, Defu Lian
2024	J	`jnl`	Efficient Transfer Learning Framework for Cross-Domain Click-Through Rate Prediction. CoRR Qi Liu, Xingyuan Tang, Jianqiang Huang, Xiangqian Yu, Haoran Jin, Jin Chen, Yuanhao Pu, Defu Lian, Tan Qu, Zhe Wang, Jia Cheng, Jun Lei
2024	A*	`conf`	Learning to Hash for Trajectory Similarity Computation and Search. ICDE Liwei Deng, Yan Zhao, Jin Chen, Shuncheng Liu, Yuyang Xia, Kai Zheng
2024	A*	`conf`	Learning-Efficient Yet Generalizable Collaborative Filtering for Item Recommendation. ICML Yuanhao Pu, Xiaolong Chen, Xu Huang, Jin Chen, Defu Lian, Enhong Chen
2024	A*	`conf`	Task Recommendation in Spatial Crowdsourcing: A Trade-Off Between Diversity and Coverage. ICDE Liwei Deng, Yan Zhao, Yue Cui, Yuyang Xia, Jin Chen, Kai Zheng
2024	J	`jnl`	When large language models meet personalization: perspectives of challenges and opportunities. World Wide Web (WWW) Jin Chen, Zheng Liu, Xu Huang, Chenwang Wu, Qi Liu, Gangwei Jiang, Yuanhao Pu, Yuxuan Lei, Xiaolong Chen, Xingmei Wang, Kai Zheng, Defu Lian, Enhong Chen
2023	A	`conf`	An Incremental Update Framework for Online Recommenders with Data-Driven Prior. CIKM 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
2023	J	`jnl`	An Incremental Update Framework for Online Recommenders with Data-Driven Prior. CoRR 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
2023	A*	`conf`	AutoS2AE: Automate to Regularize Sparse Shallow Autoencoders for Recommendation. WWW Rui Fan, Yuanhao Pu, Jin Chen, Zhihao Zhu, Defu Lian, Enhong Chen
2023	A	`conf`	Batch-Mix Negative Sampling for Learning Recommendation Retrievers. CIKM Yongfu Fan, Jin Chen, Yongquan Jiang, Defu Lian, Fangda Guo, Kai Zheng
2023	—	`conf`	Cache-Enhanced InBatch Sampling with Difficulty-Based Replacement Strategies for Learning Recommenders. DASFAA (Workshops) Yucheng Li, Defu Lian, Jin Chen
2023	A*	`conf`	Cooperative Retriever and Ranker in Deep Recommenders. WWW Xu Huang, Defu Lian, Jin Chen, Zheng Liu, Xing Xie, Enhong Chen
2023	J	`jnl`	Deep Group Interest Modeling of Full Lifelong User Behaviors for CTR Prediction. CoRR Qi Liu, Xuyang Hou, Haoran Jin, Jin Chen, Zhe Wang, Defu Lian, Tan Qu, Jia Cheng, Jun Lei
2023	A*	`conf`	Knowledge Distillation for High Dimensional Search Index. NeurIPS Zepu Lu, Jin Chen, Defu Lian, Zaixi Zhang, Yong Ge, Enhong Chen
2023	A*	`conf`	RecStudio: Towards a Highly-Modularized Recommender System. SIGIR Defu Lian, Xu Huang, Xiaolong Chen, Jin Chen, Xingmei Wang, Yankai Wang, Haoran Jin, Rui Fan, Zheng Liu, Le Wu, Enhong Chen
2023	—	`conf`	SimiDTR: Deep Trajectory Recovery with Enhanced Trajectory Similarity. DASFAA (1) Yupu Zhang, Liwei Deng, Yan Zhao, Jin Chen, Jiandong Xie, Kai Zheng
2023	J	`jnl`	When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities. CoRR Jin Chen, Zheng Liu, Xu Huang, Chenwang Wu, Qi Liu, Gangwei Jiang, Yuanhao Pu, Yuxuan Lei, Xiaolong Chen, Xingmei Wang, Defu Lian, Enhong Chen
2022	A*	`conf`	Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever. NeurIPS Jin Chen, Defu Lian, Yucheng Li, Baoyun Wang, Kai Zheng, Enhong Chen
2022	J	`jnl`	Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever. CoRR Jin Chen, Defu Lian, Yucheng Li, Baoyun Wang, Kai Zheng, Enhong Chen
2022	J	`jnl`	Cooperative Retriever and Ranker in Deep Recommenders. CoRR Xu Huang, Defu Lian, Jin Chen, Zheng Liu, Xing Xie, Enhong Chen
2022	A*	`conf`	Efficient Join Order Selection Learning with Graph-based Representation. KDD Jin Chen, GuanYu Ye, Yan Zhao, Shuncheng Liu, Liwei Deng, Xu Chen, Rui Zhou, Kai Zheng
2022	A	`conf`	Efficient Learning with Pseudo Labels for Query Cost Estimation. CIKM Shuncheng Liu, Xu Chen, Yan Zhao, Jin Chen, Rui Zhou, Kai Zheng
2022	A*	`conf`	Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering. WWW Jin Chen, Defu Lian, Binbin Jin, Xu Huang, Kai Zheng, Enhong Chen
2022	A*	`conf`	Improving Implicit Alternating Least Squares with Ring-based Regularization. SIGIR Rui Fan, Jin Chen, Jin Zhang, Defu Lian, Enhong Chen
2022	A*	`conf`	Learning Recommenders for Implicit Feedback with Importance Resampling. WWW Jin Chen, Defu Lian, Binbin Jin, Kai Zheng, Enhong Chen
2022	J	`jnl`	Ranking-Based Implicit Regularization for One-Class Collaborative Filtering. IEEE Trans. Knowl. Data Eng. Defu Lian, Jin Chen, Kai Zheng, Enhong Chen, Xiaofang Zhou
2021	A*	`conf`	Automated Creative Optimization for E-Commerce Advertising. WWW Jin Chen, Ju Xu, Gangwei Jiang, Tiezheng Ge, Zhiqiang Zhang, Defu Lian, Kai Zheng
2021	J	`jnl`	Automated Creative Optimization for E-Commerce Advertising. CoRR Jin Chen, Ju Xu, Gangwei Jiang, Tiezheng Ge, Zhiqiang Zhang, Defu Lian, Kai Zheng
2021	A*	`conf`	Efficient Optimal Selection for Composited Advertising Creatives with Tree Structure. AAAI Jin Chen, Tiezheng Ge, Gangwei Jiang, Zhiqiang Zhang, Defu Lian, Kai Zheng
2021	J	`jnl`	Efficient Optimal Selection for Composited Advertising Creatives with Tree Structure. CoRR Jin Chen, Tiezheng Ge, Gangwei Jiang, Zhiqiang Zhang, Defu Lian, Kai Zheng
2021	J	`jnl`	Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering. CoRR Jin Chen, Binbin Jin, Xu Huang, Defu Lian, Kai Zheng, Enhong Chen
2021	A*	`conf`	xLightFM: Extremely Memory-Efficient Factorization Machine. SIGIR Gangwei Jiang, Hao Wang, Jin Chen, Haoyu Wang, Defu Lian, Enhong Chen
2020	J	`jnl`	Collaborative Filtering With Ranking-Based Priors on Unknown Ratings. IEEE Intell. Syst. Jin Chen, Defu Lian, Kai Zheng
2019	A*	`conf`	Improving One-Class Collaborative Filtering via Ranking-Based Implicit Regularizer. AAAI Jin Chen, Defu Lian, Kai Zheng