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

Similarity Embedding Networks for Robust Human Activity Recognition. - Chenglin Li; Carrie Lu Tong; Di Niu; Bei Jiang; Xiao Zuo; Lei Cheng 005; Jian Xiong; Jianming Yang (ACM Trans. Knowl. Discov. Data, 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; Can Long; Yong He 009; Lei Cheng 005; Linjian Mo (CIKM, 2022)

GDOD: Effective Gradient Descent using Orthogonal Decomposition for Multi-Task Learning. - Xin Dong; 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; 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; Lei Cheng 005; Linjian Mo (CIKM, 2022)

Multi-interest Sequence Modeling for Recommendation with Causal Embedding. - Caiqi Sun; Penghao Lu; Lei Cheng 005; Zhenfu Cao; Xiaolei Dong; Yili Tang; Jun Zhou 018; Linjian Mo (SDM, 2022)

RecGURU: Adversarial Learning of Generalized User Representations for Cross-Domain Recommendation. - Chenglin Li; Mingjun Zhao; Huanming Zhang; Chenyun Yu; Lei Cheng 005; Guoqiang Shu; Beibei Kong; Di Niu (WSDM, 2022)

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

Tele-Knowledge Pre-training for Fault Analysis. - Zhuo Chen 007; Wen Zhang 015; Yufeng Huang; Mingyang Chen; Yuxia Geng; Hongtao Yu; Zhen Bi; Yichi Zhang 009; Zhen Yao 001; Wenting Song; Xinliang Wu; Yi Yang; et al. (ICDE, 2023)

Enhancing Graph Collaborative Filtering via Neighborhood Structure Embedding. - Xinzhou Jin; Jintang Li; Yuanzhen Xie; Liang Chen 001; Beibei Kong; Lei Cheng 005; Bo Hu; Zang Li; Zibin Zheng (ICDM, 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 005; Linjian Mo (SIGIR, 2023)

Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering. - Yichi Zhang 009; Zhuo Chen 007; Yin Fang; Lei Cheng 005; Yanxi Lu; Fangming Li; Wen Zhang 015; Huajun Chen (CoRR, 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; 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; Lei Cheng 005; Xinxing Yang; Longfei Li; Jun Zhou 011; Linjian Mo (SIGIR, 2024)

Enhancing Sequential Recommenders with Augmented Knowledge from Aligned Large Language Models. - Yankun Ren; Zhongde Chen; Xinxing Yang; Longfei Li; Cong Jiang; Lei Cheng 005; Bo Zhang 010; Linjian Mo; Jun Zhou 011 (SIGIR, 2024)

Decomposition for Enhancing Attention: Improving LLM-based Text-to-SQL through Workflow Paradigm. - Yuanzhen Xie; Xinzhou Jin; Tao Xie; Mingxiong Lin; Liang Chen 001; Chenyun Yu; Lei Cheng 005; Chengxiang Zhuo; Bo Hu; Zang Li (CoRR, 2024)

CTRL: Continuous-Time Representation Learning on Temporal Heterogeneous Information Network. - Chenglin Li; Yuanzhen Xie; Chenyun Yu; Lei Cheng 005; Bo Hu; Zang Li; Di Niu (CoRR, 2024)

Heterogeneous graph contrastive learning for cold start cross-domain recommendation. - Yuanzhen Xie; Chenyun Yu; Xinzhou Jin; Lei Cheng 005; Bo Hu; Zang Li (Knowl. Based Syst., 2024)

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

A Learnable Fully Interacted Two-Tower Model for Pre-Ranking System. - Chao Xiong; Xianwen Yu; Wei Xu; Lei Cheng 005; Chuan Yuan; Linjian Mo (SIGIR, 2025)

DGT: Unbiased sequential recommendation via Disentangled Graph Transformer. - Chenglin Li; Tao Xie; Chenyun Yu; Bo Hu; Zang Li; Lei Cheng 005; Beibei Kong; Di Niu (Knowl. Based Syst., 2025)