Xin Dong

According to our database, Xin Dong authored at least 13 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

DOGR: Leveraging Document-Oriented Contrastive Learning in Generative Retrieval.

Penghao Lu, Xin Dong, Yuansheng Zhou, Lei Cheng, Chuan Yuan, Linjian Mo

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

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, 2024

2023

SMONE: A Session-based Recommendation Model Based on Neighbor Sessions with Similar Probabilistic Intentions.

Bohan Jia, Jian Cao, Shiyou Qian, Nengjun Zhu, Xin Dong, Liang Zhang, Lei Cheng, Linjian Mo

ACM Trans. Knowl. Discov. Data, 2023

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, 2023

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, 2023

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, 2023

REMIT: Reinforced Multi-Interest Transfer for Cross-Domain Recommendation.

Caiqi Sun, Jiewei Gu, Binbin Hu, Xin Dong, Hai Li, Lei Cheng, Linjian Mo

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

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, 2022

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, 2022

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, 2022

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, 2022

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, 2022

2021

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

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021