Linjian Mo

2025

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Multi-Task Learning through Hierarchical Information Sharing and Transfer.
Yufan Mao|Jingran Xu|Liang Zhang|Xiyue Hou|Yongbo Jin|Yingming Li|Linjian Mo
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025
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Alleviating LLM-based Generative Retrieval Hallucination in Alipay Search.
Yedan Shen|Kaixin Wu|Yuechen Ding|Jingyuan Wen|Hong Liu|Mingjie Zhong|Zhouhan Lin|Jia Xu|Linjian Mo
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025
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A Learnable Fully Interacted Two-Tower Model for Pre-Ranking System.
Chao Xiong|Xianwen Yu|Wei Xu|Lei Cheng|Chuan Yuan|Linjian Mo
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025
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MAAQR: An LLM-based Multi-Agent Framework for Adaptive Query Rewriting in Alipay Search.
Qi Zheng|Mingjie Zhong|Saisai Gong|Huimin Jiang|Kaixin Wu|Hong Liu|Jia Xu|Linjian Mo
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025
doi dblp
Singleton CTR Prediction: Towards Single-User Modeling Paradigm with Large Language Models.
Xiyu Chang|Liang Zhang|Yong He|Binzong Geng|Ke Ding|Xing Zhu|Jian Cao|Linjian Mo
Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025
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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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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
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
GATS: Generative Audience Targeting System for Online Advertising.
Cong Jiang|Zhongde Chen|Bo Zhang|Yankun Ren|Xin Dong|Lei Cheng|Xinxing Yang|Longfei Li|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
Enhancing Sequential Recommenders with Augmented Knowledge from Aligned Large Language Models.
Yankun Ren|Zhongde Chen|Xinxing Yang|Longfei Li|Cong Jiang|Lei Cheng|Bo Zhang|Linjian Mo|Jun Zhou
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
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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MI-DPG: Decomposable Parameter Generation Network Based on Mutual Information for Multi-Scenario Recommendation.
Wenzhuo Cheng|Ke Ding|Xin Dong|Yong He|Liang Zhang|Linjian Mo
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023
doi dblp
DAE: Distribution-Aware Embedding for Numerical Features in Click-Through Rate Prediction.
Bin Shen|Jingran Xu|Xu Min|Zeyu Ke|Yong He|Liang Zhang|Xin Dong|Linjian Mo
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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BKD: A Bridge-based Knowledge Distillation Method for Click-Through Rate Prediction.
Yin Deng|Yingxin Chen|Xin Dong|Lingchao Pan|Hai Li|Lei Cheng|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
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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

2022

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CFS-MTL: A Causal Feature Selection Mechanism for Multi-task Learning via Pseudo-intervention.
Zhongde Chen|Ruize Wu|Cong Jiang|Honghui Li|Xin Dong|Can Long|Yong He|Lei Cheng|Linjian Mo
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 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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GDOD: Effective Gradient Descent using Orthogonal Decomposition for Multi-Task Learning.
Xin Dong|Ruize Wu|Chao Xiong|Hai Li|Lei Cheng|Yong He|Shiyou Qian|Jian Cao|Linjian Mo
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022
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MASR: A Model-Agnostic Sparse Routing Architecture for Arbitrary Order Feature Sharing in Multi-Task Learning.
Xin Dong|Ruize Wu|Chao Xiong|Hai Li|Lei Cheng|Yong He|Shiyou Qian|Jian Cao|Linjian Mo
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022
doi dblp
A Hierarchical User Behavior Modeling Framework for Cross-Domain Click-Through Rate Prediction.
Hai Li|Xin Dong|Lei Cheng|Linjian Mo
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022
doi dblp
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
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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