- 1234. Zhiqi Wang, Kui Wang, Yang Yu and Chenye Wu. An Algorithmic View on Optimal Storage Sizing. , IEEE Innovative Smart Grid Technology 2020.
- 1233. Jiaman Wu, Zhiqi Wang, Chenye Wu, Kui Wang and Yang Yu. A Data-driven Storage Control Framework for Dynamic Pricing. , IEEE Transaction on Smart Grid.
- 1232. Jiaman Wu, Zhiqi Wang, Yang Yu, and Chenye Wu. Optimal Storage Control for Dynamic Pricing. , IEEE PES General Meeting 2020.
- 1231. Jian Sun, Yaoyu Zhang, Yang Yu, and Chenye Wu. Storage Control for Carbon Emission Reduction. , IEEE PES General Meeting 2020.
- 1230. Jingshi Cui, Haoxiang Wang, Chenye Wu, and Yang Yu. Vulnerability Analysis for Data Driven Pricing Schemes. , IEEE PES General Meeting 2020.
- 1229. Jingshi Cui, Haoxiang Wang, Chenye Wu, and Yang Yu. Robust Data-driven Profile-based Pricing Schemes. , IEEE Transactions on Smart Grid.
- 1228. Zhiqi Wang, Kui Wang, Yang Yu, Chenye Wu. An Algorithmic View on Optimal Storage Sizing. , IEEE ISGT NA 2020.
- 1227. Kui Wang, Yang Yu, Chenye Wu. Optimal Electricity Storage Sharing Mechanism for Single Peaked Time-of-Use Pricing Scheme. , IEEE Transactions on Smart Grid, 2019.
- 1226. Dileep Kalathi, Chenye Wu, Kameshwar Poolla, Pravin Varaiya. The Sharing Economy for the Electricity Storage. , IEEE Transactions on Smart Grid, 2019.
- 1225. Li, Jian; Deshpande, Amol. Maximizing Expected Utility for Stochastic Combinatorial Optimization Problems. , MATHEMATICS OF OPERATIONS RESEARCH.
- 1224. Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Chi Wang, Kuansan Wang and Jie Tang. NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization. , WWW 2019.
- 1223. Jianhao Yan, Lin He, Ruqin Huang, Jian Li and Ying Liu. Relation Extraction with Temporal Reasoning Based on Memory Augmented Distant Supervision. , NAACL-HLT 2019.
- 1222. Haotian Jiang, Jian Li, Daogao Liu, Sahil Singla. Algorithms and Adaptivity Gaps for Stochastic k-TSP. , ITCS 2020.
- 1221. Chuheng Zhang, Yuanqi Li, and Jian Li. Policy Search by Target Distribution Learning for Continuous Control. .
- 1220. Jin Xu, Jingbo Zhou, Yongpo Jia, Jian Li, Xiong Hui. An Adaptive Master-Slave Regularized Model for Unexpected Revenue Prediction Enhanced with Alternative Data. .
- 1219. Yu Shi, Jian Li and Zhize Li. Gradient Boosting with Piece-Wise Linear Regression Trees. .
- 1218. Zhize Li, Tianyi Zhang, Shuyu Cheng, Jun Zhu, Jian Li. Stochastic Gradient Hamiltonian Monte Carlo with Variance Reduction for Bayesian Inference. , Machine Learning, 2019.
- 1217. Jin Xu, Jingbo Zhou, Yongpo Jia, Jian Li，Hui Xiong. Graph Neural Network Enhanced Adaptive Model for Revenue Prediction with Alternative Data. , ICDE 2020.
