MSSM: A Multiple-level Sparse Sharing Model for Efficient Multi-Task Learning. - Ke Ding; Xin Dong 012; Yong He 009; Lei Cheng 005; Chilin Fu; Zhaoxin Huan; Hai Li; Tan Yan; Liang Zhang; Xiaolu Zhang; Linjian Mo (SIGIR, 2021)

CFS-MTL: A Causal Feature Selection Mechanism for Multi-task Learning via Pseudo-intervention. - Zhongde Chen; Ruize Wu; Cong Jiang; Honghui Li; Xin Dong 012; Can Long; Yong He 009; Lei Cheng 005; Linjian Mo (CIKM, 2022)

GFlow-FT: Pick a Child Network via Gradient Flow for Efficient Fine-Tuning in Recommendation Systems. - Ke Ding; Yong He 009; Xin Dong 012; Jieyu Yang; Liang Zhang; Ang Li; Xiaolu Zhang; Linjian Mo (CIKM, 2022)

GDOD: Effective Gradient Descent using Orthogonal Decomposition for Multi-Task Learning. - Xin Dong 012; Ruize Wu; Chao Xiong; Hai Li; Lei Cheng 005; Yong He 009; Shiyou Qian; Jian Cao 001; Linjian Mo (CIKM, 2022)

MASR: A Model-Agnostic Sparse Routing Architecture for Arbitrary Order Feature Sharing in Multi-Task Learning. - Xin Dong 012; Ruize Wu; Chao Xiong; Hai Li; Lei Cheng 005; Yong He 009; Shiyou Qian; Jian Cao 001; Linjian Mo (CIKM, 2022)

A Hierarchical User Behavior Modeling Framework for Cross-Domain Click-Through Rate Prediction. - Hai Li; Xin Dong 012; Lei Cheng 005; Linjian Mo (CIKM, 2022)

REMIT: Reinforced Multi-Interest Transfer for Cross-Domain Recommendation. - Caiqi Sun; Jiewei Gu; Binbin Hu; Xin Dong 012; Hai Li; Lei Cheng 005; Linjian Mo (AAAI, 2023)

MI-DPG: Decomposable Parameter Generation Network Based on Mutual Information for Multi-Scenario Recommendation. - Wenzhuo Cheng; Ke Ding; Xin Dong 012; Yong He 009; Liang Zhang; Linjian Mo (CIKM, 2023)

DAE: Distribution-Aware Embedding for Numerical Features in Click-Through Rate Prediction. - Bin Shen; Jingran Xu; Xu Min; Zeyu Ke; Yong He 009; Liang Zhang; Xin Dong 012; Linjian Mo (CIKM, 2023)

BKD: A Bridge-based Knowledge Distillation Method for Click-Through Rate Prediction. - Yin Deng; Yingxin Chen; Xin Dong 012; Lingchao Pan; Hai Li; Lei Cheng 005; Linjian Mo (SIGIR, 2023)

SMONE: A Session-based Recommendation Model Based on Neighbor Sessions with Similar Probabilistic Intentions. - Bohan Jia; Jian Cao 001; Shiyou Qian; Nengjun Zhu; Xin Dong 012; Liang Zhang; Lei Cheng 005; Linjian Mo (ACM Trans. Knowl. Discov. Data, 2023)

GATS: Generative Audience Targeting System for Online Advertising. - Cong Jiang; Zhongde Chen; Bo Zhang 010; Yankun Ren; Xin Dong 012; Lei Cheng 005; Xinxing Yang; Longfei Li; Jun Zhou 011; Linjian Mo (SIGIR, 2024)

DOGR: Leveraging Document-Oriented Contrastive Learning in Generative Retrieval. - Penghao Lu; Xin Dong 012; Yuansheng Zhou; Lei Cheng 005; Chuan Yuan; Linjian Mo (AAAI, 2025)