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publications
Multi-Level Interaction Reranking with User Behavior History
Published in Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'22), 2022
Yunjia Xi, Weiwen Liu, Yang Wang, Ruiming Tang, Weinan Zhang, Yue Zhu, Rui Zhang, Yong Yu
A Bird’s-eye View of Reranking: From List Level to Page Level
Published in Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining (WSDM '23), 2023
Yunjia Xi, Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Rui Zhang, Ruiming Tang, Yong Yu
Personalized Diversification for Neural Re-ranking in Recommendation
Published in 2023 IEEE 39th International Conference on Data Engineering (ICDE'23), 2023
Weiwen Liu*, Yunjia Xi* (*equal contribution), Jiarui Qin, Xinyi Dai, Ruiming Tang, Shuai Li, Weinan Zhang, Rui Zhang
On-device Integrated Re-ranking with Heterogeneous Behavior Modeling
Published in Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'23), 2023
Yunjia Xi, Weiwen Liu, Jieming Zhu, Xilong Zhao, Xinyi Dai, Ruiming Tang, Weinan Zhang, Rui Zhang, Yong Yu
Utility-Oriented Reranking with Counterfactual Context
Published in ACM Transactions on Knowledge Discovery from Data (TKDD), 2024
Yunjia Xi, Weiwen Liu, Xinyi Dai, Ruiming Tang, Qing Liu, Weinan Zhang, Yong Yu
Towards Open-world Recommendation with Knowledge Augmentation from Large Language Models
Published in Proceedings of the 18th ACM Conference on Recommender Systems (Recsys'24), 2024
Yunjia Xi, Weiwen Liu, Jianghao Lin, Xiaoling Cai, Hong Zhu, Jieming Zhu, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu
MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models
Published in Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM'24), 2024
Yunjia Xi, Weiwen Liu, Jianghao Lin, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu
Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative Decoding
Published in Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'25), 2025
Yunjia Xi, Hangyu Wang, Bo Chen, Jianghao Lin, Menghui Zhu, Weiwen Liu, Ruiming Tang, Weinan Zhang, Yong Yu
Bursting Filter Bubble: Enhancing Serendipity Recommendations with Aligned Large Language Models
Published in Proceedings of the 31th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'25), 2025
Yunjia Xi, Muyan Weng, Wen Chen, Chao Yi, Dian Chen, Gaoyang Guo, Mao Zhang, Jian Wu, Yuning Jiang, Qingwen Liu, Yong Yu, Weinan Zhang
Efficient and Deployable Knowledge Infusion for Open-World Recommendations via Large Language Models
Published in ACM Transactions on Recommender Systems (TORS), 2025
Yunjia Xi, Weiwen Liu, Jianghao Lin, Muyan Weng, Xiaoling Cai, Hong Zhu, Jieming Zhu, Bo Chen, Ruiming TANG, Yong Yu, Weinan Zhang
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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