Xinghua Qu

2026

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Does Knowledge Distillation Matter for Large Language Model-Based Bundle Generation?
Kaidong Feng|Zhu Sun|Jie Yang|Hui Fang|Xinghua Qu|Wenyuan Liu
ACM Transactions on Information Systems (TOIS) 2026 Volume 44 Issue 4

2024

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Adaptive In-Context Learning with Large Language Models for Bundle Generation.
Zhu Sun|Kaidong Feng|Jie Yang|Xinghua Qu|Hui Fang|Yew-Soon Ong|Wenyuan Liu
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024
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Large Language Models for Intent-Driven Session Recommendations.
Zhu Sun|Hongyang Liu|Xinghua Qu|Kaidong Feng|Yan Wang|Yew Soon Ong
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024

2023

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Towards Building Voice-based Conversational Recommender Systems: Datasets, Potential Solutions and Prospects.
Xinghua Qu|Hongyang Liu|Zhu Sun|Xiang Yin|Yew Soon Ong|Lu Lu|Zejun Ma
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023

2022

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Dynamic Transfer Gaussian Process Regression.
Pengfei Wei|Xinghua Qu|Wen Song|Zejun Ma
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022
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Revisiting Bundle Recommendation: Datasets, Tasks, Challenges and Opportunities for Intent-aware Product Bundling.
Zhu Sun|Jie Yang|Kaidong Feng|Hui Fang|Xinghua Qu|Yew Soon Ong
SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022