Ming Li

According to our database, Ming Li authored at least 15 papers between 2018 and 2024.

Collaborative distances:

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

2024

Domain Generalization in Time Series Forecasting.

Songgaojun Deng, Olivier Sprangers, Ming Li, Sebastian Schelter, Maarten de Rijke

ACM Trans. Knowl. Discov. Data, June, 2024

Are We Really Achieving Better Beyond-Accuracy Performance in Next Basket Recommendation?

Ming Li, Yuanna Liu, Sami Jullien, Mozhdeh Ariannezhad, Andrew Yates, Mohammad Aliannejadi, Maarten de Rijke

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Measuring Item Fairness in Next Basket Recommendation: A Reproducibility Study.

Yuanna Liu, Ming Li, Mozhdeh Ariannezhad, Masoud Mansoury, Mohammad Aliannejadi, Maarten de Rijke

Proceedings of the Advances in Information Retrieval, 2024

2023

A Next Basket Recommendation Reality Check.

Ming Li, Sami Jullien, Mozhdeh Ariannezhad, Maarten de Rijke

ACM Trans. Inf. Syst., October, 2023

Who Will Purchase This Item Next? Reverse Next Period Recommendation in Grocery Shopping.

Ming Li, Mozhdeh Ariannezhad, Andrew Yates, Maarten de Rijke

Trans. Recomm. Syst., June, 2023

A Personalized Neighborhood-based Model for Within-basket Recommendation in Grocery Shopping.

Mozhdeh Ariannezhad, Ming Li, Sebastian Schelter, Maarten de Rijke

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Repetition and Exploration in Sequential Recommendation.

Ming Li, Ali Vardasbi, Andrew Yates, Maarten de Rijke

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

Complex Item Set Recommendation.

Mozhdeh Ariannezhad, Ming Li, Sami Jullien, Maarten de Rijke

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

Masked and Swapped Sequence Modeling for Next Novel Basket Recommendation in Grocery Shopping.

Ming Li, Mozhdeh Ariannezhad, Andrew Yates, Maarten de Rijke

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

2022

ReCANet: A Repeat Consumption-Aware Neural Network for Next Basket Recommendation in Grocery Shopping.

Mozhdeh Ariannezhad, Sami Jullien, Ming Li, Min Fang, Sebastian Schelter, Maarten de Rijke

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

2021

The University of Amsterdam at the TREC 2021 Fair Ranking Track.

Ali Vardasbi, Gabriel Bénédict, Shashank Gupta, Maria Heuss, Pooya Khandel, Ming Li, Fatemeh Sarvi

Proceedings of the Thirtieth Text REtrieval Conference, 2021

2019

Generate Desired Images from Trained Generative Adversarial Networks.

Ming Li, Rui Xi, Beier Chen, Mengshu Hou, Daibo Liu, Lei Guo

Proceedings of the International Joint Conference on Neural Networks, 2019

Poster: Attention-based Spatio-Temporal Model for HAR Using Multivariate Time Series.

Rui Xi, Ming Li, Daibo Liu, Mengshu Hou

Proceedings of the 2019 International Conference on Embedded Wireless Systems and Networks, 2019

2018

Deep Dilation on Multimodality Time Series for Human Activity Recognition.

Rui Xi, Ming Li, Mengshu Hou, Mingsheng Fu, Hong Qu, Daibo Liu, Charles R. Haruna

IEEE Access, 2018

Generate Novel Image Styles using Weighted Hybrid Generative Adversarial Nets.

Ming Li, Rui Xi, Mengshu Hou

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018