Yiming Zhang

According to our database, Yiming Zhang authored at least 14 papers between 2020 and 2024.

Collaborative distances:

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

2024

Multi-Interest Multi-Round Conversational Recommendation System with Fuzzy Feedback Based User Simulator.

Qi Shen, Lingfei Wu, Yiming Zhang, Yitong Pang, Zhihua Wei, Fangli Xu, Bo Long, Jian Pei

Trans. Recomm. Syst., December, 2024

Towards Multi-subsession Conversational Recommendation.

Yu Ji, Qi Shen, Shixuan Zhu, Hang Yu, Yiming Zhang, Chuan Cui, Zhihua Wei

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

2023

Graph Learning Augmented Heterogeneous Graph Neural Network for Social Recommendation.

Yiming Zhang, Lingfei Wu, Qi Shen, Yitong Pang, Zhihua Wei, Fangli Xu, Ethan Chang, Bo Long

Trans. Recomm. Syst., December, 2023

Data-Augmented Counterfactual Learning for Bundle Recommendation.

Shixuan Zhu, Qi Shen, Chuan Cui, Yu Ji, Yiming Zhang, Zhenwei Dong, Zhihua Wei

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

2022

Data-Augmented Counterfactual Learning for Bundle Recommendation.

Shixuan Zhu, Qi Shen, Yiming Zhang, Yitong Pang, Zhihua Wei

CoRR, 2022

Multiple Choice Questions based Multi-Interest Policy Learning for Conversational Recommendation.

Yiming Zhang, Lingfei Wu, Qi Shen, Yitong Pang, Zhihua Wei, Fangli Xu, Bo Long, Jian Pei

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

Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation.

Yitong Pang, Lingfei Wu, Qi Shen, Yiming Zhang, Zhihua Wei, Fangli Xu, Ethan Chang, Bo Long, Jian Pei

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Intention Adaptive Graph Neural Network for Category-Aware Session-Based Recommendation.

Chuan Cui, Qi Shen, Shixuan Zhu, Yitong Pang, Yiming Zhang, Hanning Gao, Zhihua Wei

Proceedings of the Database Systems for Advanced Applications, 2022

Temporal aware Multi-Interest Graph Neural Network for Session-based Recommendation.

Qi Shen, Shixuan Zhu, Yitong Pang, Yiming Zhang, Zhihua Wei

Proceedings of the Asian Conference on Machine Learning, 2022

2021

Intention Adaptive Graph Neural Network for Category-aware Session-based Recommendation.

Chuan Cui, Qi Shen, Shixuan Zhu, Yitong Pang, Yiming Zhang, Zhenwei Dong, Zhihua Wei

CoRR, 2021

Multi-Choice Questions based Multi-Interest Policy Learning for Conversational Recommendation.

Yiming Zhang, Lingfei Wu, Qi Shen, Yitong Pang, Zhihua Wei, Fangli Xu, Bo Long, Jian Pei

CoRR, 2021

Multi-behavior Graph Contextual Aware Network for Session-based Recommendation.

Qi Shen, Lingfei Wu, Yitong Pang, Yiming Zhang, Zhihua Wei, Fangli Xu, Bo Long

CoRR, 2021

Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation.

Yitong Pang, Lingfei Wu, Qi Shen, Yiming Zhang, Zhihua Wei, Fangli Xu, Ethan Chang, Bo Long

CoRR, 2021

2020

Time-Aware Attentive Neural Network for News Recommendation with Long- and Short-Term User Representation.

Yitong Pang, Yiming Zhang, Jianing Tong, Zhihua Wei

Proceedings of the Knowledge Science, Engineering and Management, 2020