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

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
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
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
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

doi dblp
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

doi dblp
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

2021

doi dblp
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