Zhaoxin Huan

2026

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Corrigendum: One Model for All: Large Language Models Are Domain-Agnostic Recommendation Systems.
Zuoli Tang|Zhaoxin Huan|Zihao Li|Xiaolu Zhang|Jun Hu|Chilin Fu|Jun Zhou|Lixin Zou|Chenliang Li
ACM Transactions on Information Systems (TOIS) 2026 Volume 44 Issue 4

2025

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HORAE: Temporal Multi-Interest Pre-training for Sequential Recommendation.
Shirui Hu|Weichang Wu|Zuoli Tang|Zhaoxin Huan|Lin Wang|Xiaolu Zhang|Jun Zhou|Lixin Zou|Chenliang Li
ACM Transactions on Information Systems (TOIS) 2025 Volume 43 Issue 4
doi dblp
One Model for All: Large Language Models Are Domain-Agnostic Recommendation Systems.
Zuoli Tang|Zhaoxin Huan|Zihao Li|Xiaolu Zhang|Jun Hu|Chilin Fu|Jun Zhou|Lixin Zou|Chenliang Li
ACM Transactions on Information Systems (TOIS) 2025 Volume 43 Issue 5
doi dblp
EGRec: Leveraging Generative Rich Intents for Enhanced Recommendation with Large Language Models.
Zhaorui Lian|Binzong Geng|Xiyu Chang|Yu Zhang|Ke Ding|Ziyu Lyu|Guanghu Yuan|Chengming Li|Min Yang|Zhaoxin Huan|Bin Shen|Yong He|Linjian Mo|Liang Zhang|Xing Zhu
Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025

2024

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TEXT CAN BE FAIR: Mitigating Popularity Bias with PLMs by Learning Relative Preference.
Zuoli Tang|Zhaoxin Huan|Zihao Li|Shirui Hu|Xiaolu Zhang|Jun Zhou|Lixin Zou|Chenliang Li
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024
doi dblp
Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors.
Binzong Geng|Zhaoxin Huan|Xiaolu Zhang|Yong He|Liang Zhang|Fajie Yuan|Jun Zhou|Linjian Mo
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024
doi dblp
Exploring Multi-Scenario Multi-Modal CTR Prediction with a Large Scale Dataset.
Zhaoxin Huan|Ke Ding|Ang Li|Xiaolu Zhang|Xu Min|Yong He|Liang Zhang|Jun Zhou|Linjian Mo|Jinjie Gu|Zhongyi Liu|Wenliang Zhong|Guannan Zhang|Chenliang Li|Fajie Yuan
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024
doi dblp
Enhancing Sequential Recommendation via LLM-based Semantic Embedding Learning.
Jun Hu|Wenwen Xia|Xiaolu Zhang|Chilin Fu|Weichang Wu|Zhaoxin Huan|Ang Li|Zuoli Tang|Jun Zhou
Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024

2023

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G-Meta: Distributed Meta Learning in GPU Clusters for Large-Scale Recommender Systems.
Youshao Xiao|Shangchun Zhao|Zhenglei Zhou|Zhaoxin Huan|Lin Ju|Xiaolu Zhang|Lin Wang|Jun Zhou
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023
doi dblp
DCBT: A Simple But Effective Way for Unified Warm and Cold Recommendation.
Jieyu Yang|Liang Zhang|Yong He|Ke Ding|Zhaoxin Huan|Xiaolu Zhang|Linjian Mo
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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Task Similarity Aware Meta Learning for Cold-Start Recommendation.
Jieyu Yang|Zhaoxin Huan|Yong He|Ke Ding|Liang Zhang|Xiaolu Zhang|Jun Zhou|Linjian Mo
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022
doi dblp
An Industrial Framework for Cold-Start Recommendation in Zero-Shot Scenarios.
Zhaoxin Huan|Gongduo Zhang|Xiaolu Zhang|Jun Zhou|Qintong Wu|Lihong Gu|Jinjie Gu|Yong He|Yue Zhu|Linjian Mo
SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022

2021

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MSSM: A Multiple-level Sparse Sharing Model for Efficient Multi-Task Learning.
Ke Ding|Xin Dong|Yong He|Lei Cheng|Chilin Fu|Zhaoxin Huan|Hai Li|Tan Yan|Liang Zhang|Xiaolu Zhang|Linjian Mo
SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021
doi dblp
Learning to Select Instance: Simultaneous Transfer Learning and Clustering.
Zhaoxin Huan|Yulong Wang|Yong He|Xiaolu Zhang|Chilin Fu|Weichang Wu|Jun Zhou|Ke Ding|Liang Zhang|Linjian Mo
SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021