| Logistic regression with missing covariates—Parameter estimation, model selection and prediction within a joint-modeling framework W Jiang, J Josse, M Lavielle, TB Group Computational Statistics & Data Analysis 145, 106907, 2020 | 46 | 2020 |
| Mathematical recommendations to fight against COVID-19 C Gu, W Jiang, T Zhao, B Zheng Available at SSRN 3551006, 2020 | 41 | 2020 |
| Adaptive Bayesian SLOPE: Model Selection With Incomplete Data W Jiang, M Bogdan, J Josse, S Majewski, B Miasojedow, V Ročková, ... Journal of Computational and Graphical Statistics 31 (1), 113-137, 2022 | 30* | 2022 |
| Dynamic popularity-aware contrastive learning for recommendation F Lin, W Jiang, J Zhang, C Yang Asian Conference on Machine Learning, 964-968, 2021 | 11 | 2021 |
| Dynamic sequential recommendation: Decoupling user intent from temporal context W Jiang, F Lin, J Zhang, C Yang, H Zhang, Z Cui 2021 International Conference on Data Mining Workshops (ICDMW), 18-26, 2021 | 7 | 2021 |
| GROUP, T.(2020). Logistic regression with missing covariates—parameter estimation, model selection and prediction within a joint-modeling framework W Jiang, J Josse, M Lavielle Comput. Statist. Data Anal 145, 106907, 0 | 5 | |
| A new sequential prediction framework with spatial-temporal embedding J Zhang, F Lin, C Yang, W Jiang Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 4 | 2022 |
| The CityLearn Challenge 2022: Overview, Results, and Lessons Learned K Nweye, Z Nagy, S Mohanty, D Chakraborty, S Sankaranarayanan, ... NeurIPS 2022 Competition Track, 85-103, 2022 | 2 | 2022 |
| KDD CUP 2022 Wind Power Forecasting Team 88VIP Solution F Lin, W Jiang, H Zhang, C Yang arXiv preprint arXiv:2208.08952, 2022 | 2 | 2022 |
| Logistic regression with missing covariates–parameter estimation, model selection and prediction W Jiang, J Josse, M Lavielle arXiv preprint arXiv:1805.04602, 2018 | 2 | 2018 |
| Handling missing values J Josse, W Jiang, A Sportisse, G Robin Inria. Julie Josse. Retrieved October 12, 2020, 2018 | 2 | 2018 |
| Combining forecasting and multi-agent reinforcement learning techniques on power grid scheduling task C Yang, J Zhang, F Lin, L Wang, W Jiang, H Zhang 2023 IEEE 2nd International Conference on Electrical Engineering, Big Data …, 2023 | 1 | 2023 |
| Neighbor-augmented transformer-based embedding for retrieval J Zhang, F Lin, W Jiang, C Yang, G Liu ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 1 | 2022 |
| A Stochastic Online Forecast-and-Optimize Framework for Real-Time Energy Dispatch in Virtual Power Plants under Uncertainty W Jiang, Z Yi, L Wang, H Zhang, J Zhang, F Lin, C Yang Proceedings of the 32nd ACM International Conference on Information and …, 2023 | | 2023 |
| IEDR: A Context-aware Intrinsic and Extrinsic Disentangled Recommender System Y Su, W Jiang, Y Zhao, F Lin, C Yang, SM Erfani, J Gan | | 2022 |
| PhD Thesis: Statistical Inference with Incomplete and High-Dimensional Data—Modeling Polytraumatized Patients W Jiang Université Paris-Saclay, 2020 | | 2020 |
| High-dimensional Model Selection with Missing Values W Jiang, M Bogdan, J Josse, B Miasojedow, V Rockova, TB Group arXiv preprint, 2019 | | 2019 |
