Lei Cheng

According to our database, Lei Cheng authored at least 22 papers between 2021 and 2025.

Collaborative distances:

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

2025

DGT: Unbiased sequential recommendation via Disentangled Graph Transformer.

Chenglin Li, Tao Xie, Chenyun Yu, Bo Hu, Zang Li, Lei Cheng, Beibei Kong, Di Niu

Knowl. Based Syst., 2025

A Learnable Fully Interacted Two-Tower Model for Pre-Ranking System.

Chao Xiong, Xianwen Yu, Wei Xu, Lei Cheng, Chuan Yuan, Linjian Mo

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 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

Heterogeneous graph contrastive learning for cold start cross-domain recommendation.

Yuanzhen Xie, Chenyun Yu, Xinzhou Jin, Lei Cheng, Bo Hu, Zang Li

Knowl. Based Syst., 2024

CTRL: Continuous-Time Representation Learning on Temporal Heterogeneous Information Network.

Chenglin Li, Yuanzhen Xie, Chenyun Yu, Lei Cheng, Bo Hu, Zang Li, Di Niu

CoRR, 2024

Decomposition for Enhancing Attention: Improving LLM-based Text-to-SQL through Workflow Paradigm.

Yuanzhen Xie, Xinzhou Jin, Tao Xie, Mingxiong Lin, Liang Chen, Chenyun Yu, Lei Cheng, Chengxiang Zhuo, Bo Hu, Zang Li

CoRR, 2024

Enhancing Sequential Recommenders with Augmented Knowledge from Aligned Large Language Models.

Yankun Ren, Zhongde Chen, Xinxing Yang, Longfei Li, Cong Jiang, Lei Cheng, Bo Zhang, Linjian Mo, Jun Zhou

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 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

Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering.

Yichi Zhang, Zhuo Chen, Yin Fang, Lei Cheng, Yanxi Lu, Fangming Li, Wen Zhang, Huajun Chen

CoRR, 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

Enhancing Graph Collaborative Filtering via Neighborhood Structure Embedding.

Xinzhou Jin, Jintang Li, Yuanzhen Xie, Liang Chen, Beibei Kong, Lei Cheng, Bo Hu, Zang Li, Zibin Zheng

Proceedings of the IEEE International Conference on Data Mining, 2023

Tele-Knowledge Pre-training for Fault Analysis.

Zhuo Chen, Wen Zhang, Yufeng Huang, Mingyang Chen, Yuxia Geng, Hongtao Yu, Zhen Bi, Yichi Zhang, Zhen Yao, Wenting Song, Xinliang Wu, Yi Yang, Mingyi Chen, Zhaoyang Lian, Yingying Li, Lei Cheng, Huajun Chen

Proceedings of the 39th IEEE International Conference on Data Engineering, 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

RecGURU: Adversarial Learning of Generalized User Representations for Cross-Domain Recommendation.

Chenglin Li, Mingjun Zhao, Huanming Zhang, Chenyun Yu, Lei Cheng, Guoqiang Shu, Beibei Kong, Di Niu

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Multi-interest Sequence Modeling for Recommendation with Causal Embedding.

Caiqi Sun, Penghao Lu, Lei Cheng, Zhenfu Cao, Xiaolei Dong, Yili Tang, Jun Zhou, Linjian Mo

Proceedings of the 2022 SIAM International Conference on Data Mining, 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

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

Similarity Embedding Networks for Robust Human Activity Recognition.

Chenglin Li, Carrie Lu Tong, Di Niu, Bei Jiang, Xiao Zuo, Lei Cheng, Jian Xiong, Jianming Yang

ACM Trans. Knowl. Discov. Data, 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