Xin Dong

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

2023

doi dblp
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
doi dblp
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

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
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
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
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
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

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