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)

Iterative Learning Consensus Tracking for Multi-Agent Systems With Output Constraints and Data Losses. - Zhengzheng Yu; Hanwei Zhang 002; Lizhi Cui; Jiaqi Liang 001 (IEEE Access, 2021)

Dual Disentangled Attention for Multi-Information Utilization in Sequential Recommendation. - Ziqiang Cui; Yixin Su 001; Fangquan Lin; Cheng Yang 008; Hanwei Zhang 002; Jihai Zhang 001 (IJCNN, 2022)

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