Xin Dong - RankMe

16 papers A* 5A 7Journal 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MI-DPG: Decomposable Parameter Generation Network Based on Mutual Information for Multi-Scenario Recommendation. CoRR Wenzhuo Cheng, Ke Ding, Xin Dong, Yong He, Liang Zhang, Linjian Mo
2025	A*	`conf`	DOGR: Leveraging Document-Oriented Contrastive Learning in Generative Retrieval. AAAI Penghao Lu, Xin Dong, Yuansheng Zhou, Lei Cheng, Chuan Yuan, Linjian Mo
2025	J	`jnl`	DOGR: Leveraging Document-Oriented Contrastive Learning in Generative Retrieval. CoRR Penghao Lu, Xin Dong, Yuansheng Zhou, Lei Cheng, Chuan Yuan, Linjian Mo
2024	A*	`conf`	GATS: Generative Audience Targeting System for Online Advertising. SIGIR Cong Jiang, Zhongde Chen, Bo Zhang, Yankun Ren, Xin Dong, Lei Cheng, Xinxing Yang, Longfei Li, Jun Zhou, Linjian Mo
2023	A*	`conf`	BKD: A Bridge-based Knowledge Distillation Method for Click-Through Rate Prediction. SIGIR Yin Deng, Yingxin Chen, Xin Dong, Lingchao Pan, Hai Li, Lei Cheng, Linjian Mo
2023	A	`conf`	DAE: Distribution-Aware Embedding for Numerical Features in Click-Through Rate Prediction. CIKM Bin Shen, Jingran Xu, Xu Min, Zeyu Ke, Yong He, Liang Zhang, Xin Dong, Linjian Mo
2023	J	`jnl`	GDOD: Effective Gradient Descent using Orthogonal Decomposition for Multi-Task Learning. CoRR Xin Dong, Ruize Wu, Chao Xiong, Hai Li, Lei Cheng, Yong He, Shiyou Qian, Jian Cao, Linjian Mo
2023	A	`conf`	MI-DPG: Decomposable Parameter Generation Network Based on Mutual Information for Multi-Scenario Recommendation. CIKM Wenzhuo Cheng, Ke Ding, Xin Dong, Yong He, Liang Zhang, Linjian Mo
2023	A*	`conf`	REMIT: Reinforced Multi-Interest Transfer for Cross-Domain Recommendation. AAAI Caiqi Sun, Jiewei Gu, Binbin Hu, Xin Dong, Hai Li, Lei Cheng, Linjian Mo
2023	J	`jnl`	SMONE: A Session-based Recommendation Model Based on Neighbor Sessions with Similar Probabilistic Intentions. ACM Trans. Knowl. Discov. Data Bohan Jia, Jian Cao, Shiyou Qian, Nengjun Zhu, Xin Dong, Liang Zhang, Lei Cheng, Linjian Mo
2022	A	`conf`	A Hierarchical User Behavior Modeling Framework for Cross-Domain Click-Through Rate Prediction. CIKM Hai Li, Xin Dong, Lei Cheng, Linjian Mo
2022	A	`conf`	CFS-MTL: A Causal Feature Selection Mechanism for Multi-task Learning via Pseudo-intervention. CIKM Zhongde Chen, Ruize Wu, Cong Jiang, Honghui Li, Xin Dong, Can Long, Yong He, Lei Cheng, Linjian Mo
2022	A	`conf`	GDOD: Effective Gradient Descent using Orthogonal Decomposition for Multi-Task Learning. CIKM Xin Dong, Ruize Wu, Chao Xiong, Hai Li, Lei Cheng, Yong He, Shiyou Qian, Jian Cao, Linjian Mo
2022	A	`conf`	GFlow-FT: Pick a Child Network via Gradient Flow for Efficient Fine-Tuning in Recommendation Systems. CIKM Ke Ding, Yong He, Xin Dong, Jieyu Yang, Liang Zhang, Ang Li, Xiaolu Zhang, Linjian Mo
2022	A	`conf`	MASR: A Model-Agnostic Sparse Routing Architecture for Arbitrary Order Feature Sharing in Multi-Task Learning. CIKM Xin Dong, Ruize Wu, Chao Xiong, Hai Li, Lei Cheng, Yong He, Shiyou Qian, Jian Cao, Linjian Mo
2021	A*	`conf`	MSSM: A Multiple-level Sparse Sharing Model for Efficient Multi-Task Learning. SIGIR Ke Ding, Xin Dong, Yong He, Lei Cheng, Chilin Fu, Zhaoxin Huan, Hai Li, Tan Yan, Liang Zhang, Xiaolu Zhang, Linjian Mo