Lei Chen

According to our database, Lei Chen authored at least 14 papers between 2019 and 2023.

Collaborative distances:

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

2023

User-Specific Adaptive Fine-Tuning for Cross-Domain Recommendations.

Lei Chen, Fajie Yuan, Jiaxi Yang, Xiangnan He, Chengming Li, Min Yang

IEEE Trans. Knowl. Data Eng., March, 2023

Large-scale Dataset and Effective Model for Variant-Disease Associations Extraction.

Lei Chen, Junhao Su, Zhenxian Zheng, Tak Wah Lam, Ruibang Luo

Proceedings of the 14th ACM International Conference on Bioinformatics, 2023

Exploring Pair-Aware Triangular Attention for Biomedical Relation Extraction.

Lei Chen, Junhao Su, Tak Wah Lam, Ruibang Luo

Proceedings of the 14th ACM International Conference on Bioinformatics, 2023

2022

Item-Provider Co-learning for Sequential Recommendation.

Lei Chen, Jingtao Ding, Min Yang, Chengming Li, Chonggang Song, Lingling Yi

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

Tenrec: A Large-scale Multipurpose Benchmark Dataset for Recommender Systems.

Guanghu Yuan, Fajie Yuan, Yudong Li, Beibei Kong, Shujie Li, Lei Chen, Min Yang, Chenyun Yu, Bo Hu, Zang Li, Yu Xu, Xiaohu Qie

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

2021

Toward Aspect-Level Sentiment Modification Without Parallel Data.

Qingnan Jiang, Lei Chen, Wei Zhao, Min Yang, Erik Cambria

IEEE Intell. Syst., 2021

Scene-adaptive Knowledge Distillation for Sequential Recommendation via Differentiable Architecture Search.

Lei Chen, Fajie Yuan, Jiaxi Yang, Min Yang, Chengming Li

CoRR, 2021

A User-Adaptive Layer Selection Framework for Very Deep Sequential Recommender Models.

Lei Chen, Fajie Yuan, Jiaxi Yang, Xiang Ao, Chengming Li, Min Yang

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

2020

An Advanced Deep Generative Framework for Temporal Link Prediction in Dynamic Networks.

Min Yang, Junhao Liu, Lei Chen, Zhou Zhao, Xiaojun Chen, Ying Shen

IEEE Trans. Cybern., 2020

Hierarchical fusion of common sense knowledge and classifier decisions for answer selection in community question answering.

Min Yang, Lei Chen, Ziyu Lyu, Junhao Liu, Ying Shen, Qingyao Wu

Neural Networks, 2020

Overview of the NLPCC 2020 Shared Task: Multi-Aspect-Based Multi-Sentiment Analysis (MAMS).

Lei Chen, Ruifeng Xu, Min Yang

Proceedings of the Natural Language Processing and Chinese Computing, 2020

2019

Investigating the transferring capability of capsule networks for text classification.

Min Yang, Wei Zhao, Lei Chen, Qiang Qu, Zhou Zhao, Ying Shen

Neural Networks, 2019

Knowledge-enhanced Hierarchical Attention for Community Question Answering with Multi-task and Adaptive Learning.

Min Yang, Lei Chen, Xiaojun Chen, Qingyao Wu, Wei Zhou, Ying Shen

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

A Challenge Dataset and Effective Models for Aspect-Based Sentiment Analysis.

Qingnan Jiang, Lei Chen, Ruifeng Xu, Xiang Ao, Min Yang

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019