Logistic regression with missing covariates - Parameter estimation, model selection and prediction within a joint-modeling framework. - Wei Jiang 027; Julie Josse; Marc Lavielle; TraumaBase Group (Comput. Stat. Data Anal., 2020)

Dynamic Popularity-Aware Contrastive Learning for Recommendation. - Fangquan Lin; Wei Jiang 027; Jihai Zhang 001; Cheng Yang 008 (ACML, 2021)

Dynamic Sequential Recommendation: Decoupling User Intent from Temporal Context. - Wei Jiang 027; Fangquan Lin; Jihai Zhang 001; Cheng Yang 008; Hanwei Zhang 002; Ziqiang Cui (ICDM (Workshops), 2021)

The CityLearn Challenge 2022: Overview, Results, and Lessons Learned. - Kingsley Nweye; Zoltán Nagy 002; Sharada P. Mohanty; Dipam Chakraborty; Siva Sankaranarayanan; Tianzhen Hong; Sourav Dey; Gregor Henze; Ján Drgona; Fangquan Lin; Wei Jiang 027; Hanwei Zhang 002; et al. (NeurIPS (Competition and Demos), 2021)

Neighbor-Augmented Transformer-Based Embedding for Retrieval. - Jihai Zhang 001; Fangquan Lin; Wei Jiang 027; Cheng Yang 008; Gaoge Liu (ICASSP, 2022)

A New Sequential Prediction Framework with Spatial-temporal Embedding. - Jihai Zhang 001; Fangquan Lin; Cheng Yang 008; Wei Jiang 027 (SIGIR, 2022)

KDD CUP 2022 Wind Power Forecasting Team 88VIP Solution. - Fangquan Lin; Wei Jiang 027; Hanwei Zhang 002; Cheng Yang 008 (CoRR, 2022)

Adaptive Bayesian SLOPE: Model Selection With Incomplete Data. - Wei Jiang 027; Malgorzata Bogdan; Julie Josse; Szymon Majewski; Blazej Miasojedow; Veronika Rocková (J. Comput. Graph. Stat., 2022)

A Stochastic Online Forecast-and-Optimize Framework for Real-Time Energy Dispatch in Virtual Power Plants under Uncertainty. - Wei Jiang 027; Zhongkai Yi; Li Wang 134; Hanwei Zhang 002; Jihai Zhang 001; Fangquan Lin; Cheng Yang 008 (CIKM, 2023)

Intrinsic and Extrinsic Factor Disentanglement for Recommendation in Various Context Scenarios. - Yixin Su 001; Wei Jiang 027; Fangquan Lin; Cheng Yang 008; Sarah M. Erfani; Junhao Gan; Yunxiang Zhao; Ruixuan Li 001; Rui Zhang 003 (ACM Trans. Inf. Syst., 2025)