A Neural Attention Model for Urban Air Quality Inference: Learning the Weights of Monitoring Stations. - Weiyu Cheng; Yanyan Shen; Yanmin Zhu 006; Linpeng Huang (AAAI, 2018)

DELF: A Dual-Embedding based Deep Latent Factor Model for Recommendation. - Weiyu Cheng; Yanyan Shen; Yanmin Zhu 006; Linpeng Huang (IJCAI, 2018)

Explaining Latent Factor Models for Recommendation with Influence Functions. - Weiyu Cheng; Yanyan Shen; Yanmin Zhu 006; Linpeng Huang (CoRR, 2018)

LADD: A Length-Adaptive Approach to Detecting Taxi Anomalous Detours. - Xuansheng Lu; Weiyu Cheng; Yanyan Shen; Yanmin Zhu 006 (ICPADS, 2019)

Incorporating Interpretability into Latent Factor Models via Fast Influence Analysis. - Weiyu Cheng; Yanyan Shen; Linpeng Huang; Yanmin Zhu 006 (KDD, 2019)

Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions. - Weiyu Cheng; Yanyan Shen; Linpeng Huang (AAAI, 2020)

Differentiable Neural Input Search for Recommender Systems. - Weiyu Cheng; Yanyan Shen; Linpeng Huang (CoRR, 2020)

Dual-Embedding based Deep Latent Factor Models for Recommendation. - Weiyu Cheng; Yanyan Shen; Linpeng Huang; Yanmin Zhu 006 (ACM Trans. Knowl. Discov. Data, 2021)

RESUS: Warm-up Cold Users via Meta-learning Residual User Preferences in CTR Prediction. - Yanyan Shen; Lifan Zhao; Weiyu Cheng; Zibin Zhang; Wenwen Zhou; Kangyi Lin (ACM Trans. Inf. Syst., 2023)

AutoSrh: An Embedding Dimensionality Search Framework for Tabular Data Prediction. - Shuming Kong; Weiyu Cheng; Yanyan Shen; Linpeng Huang (IEEE Trans. Knowl. Data Eng., 2023)

MiniMax-01: Scaling Foundation Models with Lightning Attention. - MiniMax; Aonian Li; Bangwei Gong; Bo Yang; Boji Shan; Chang Liu; Cheng Zhu; Chunhao Zhang; Congchao Guo; Da Chen; Dong Li 033; Enwei Jiao; et al. (CoRR, 2025)

MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention. - Aili Chen; Aonian Li; Bangwei Gong; Binyang Jiang; Bo Fei; Bo Yang; Boji Shan; Changqing Yu; Chao Wang; Cheng Zhu; Chengjun Xiao; Chengyu Du; et al. (CoRR, 2025)