Xiaolu Zhang

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

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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

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Retrieval augmentation for text-to-table generation.

Jiahua Zhang|Meijuan Tan|Jing Zhang|Xiaolu Zhang|Jun Zhou|Chenliang Li

Information Processing and Management 2025 Volume 62 Issue 5

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SurvFormer: A Transformer Based Framework for Survival Analysis in Insurance Underwriting.

Yingxue Li|Xiaolu Zhang|Jun Hu|Wenwen Xia|Ziyi Liu|Xiaobo Qin|Binjie Fei|Jun Zhou

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

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MMLRec: A Unified Multi-Task and Multi-Scenario Learning Benchmark for Recommendation.

Guanghu Yuan|Jieyu Yang|Shujie Li|Mingjie Zhong|Ang Li|Ke Ding|Yong He|Min Yang|Liang Zhang|Xiaolu Zhang|Linjian Mo

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024

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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

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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

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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

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Aligned Side Information Fusion Method for Sequential Recommendation.

Shuhan Wang|Bin Shen|Xu Min|Yong He|Xiaolu Zhang|Liang Zhang|Jun Zhou|Linjian Mo

Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024

2023

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Robust User Behavioral Sequence Representation via Multi-scale Stochastic Distribution Prediction.

Chilin Fu|Weichang Wu|Xiaolu Zhang|Jun Hu|Jing Wang|Jun Zhou

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 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

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Uncertainty-based Heterogeneous Privileged Knowledge Distillation for Recommendation System.

Ang Li|Jian Hu|Ke Ding|Xiaolu Zhang|Jun Zhou|Yong He|Xu Min

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023

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Towards Multi-Interest Pre-training with Sparse Capsule Network.

Zuoli Tang|Lin Wang|Lixin Zou|Xiaolu Zhang|Jun Zhou|Chenliang Li

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023

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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

doi dblp

Multi-Source Domain Adaptation via Latent Domain Reconstruction.

Jun Zhou|Chilin Fu|Xiaolu Zhang

Companion Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023

2022

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GFlow-FT: Pick a Child Network via Gradient Flow for Efficient Fine-Tuning in Recommendation Systems.

Ke Ding|Yong He|Xin Dong|Jieyu Yang|Liang Zhang|Ang Li|Xiaolu Zhang|Linjian Mo

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 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

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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

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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

2020

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aDMSCN: A Novel Perspective for User Intent Prediction in Customer Service Bots.

Kuan Xu|Chilin Fu|Xiaolu Zhang|Cen Chen|Ya-Lin Zhang|Wenge Rong|Zujie Wen|Jun Zhou|Xiaolong Li|Yu Qiao

CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020

2019

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Reinforcement Learning for User Intent Prediction in Customer Service Bots.

Cen Chen|Chilin Fu|Xu Hu|Xiaolu Zhang|Jun Zhou|Xiaolong Li|Forrest Sheng Bao

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2019, Paris, France, July 21-25, 2019.

2013

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MetKB: enriching RDF knowledge bases with web entity-attribute tables.

Haoqiong Bian|Yueguo Chen|Xiaoyong Du|Xiaolu Zhang

22nd ACM International Conference on Information and Knowledge Management, CIKM'13, San Francisco, CA, USA, October 27 - November 1, 2013