Wei Jiang

According to our database, Wei Jiang authored at least 11 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Knowing What Not to Do: Leverage Language Model Insights for Action Space Pruning in Multi-agent Reinforcement Learning.

Zhihao Liu, Xianliang Yang, Zichuan Liu, Yifan Xia, Wei Jiang, Yuanyu Zhang, Lijuan Li, Guoliang Fan, Lei Song, Jiang Bian

CoRR, 2024

Whittle Index with Multiple Actions and State Constraint for Inventory Management.

Chuheng Zhang, Xiangsen Wang, Wei Jiang, Xianliang Yang, Siwei Wang, Lei Song, Jiang Bian

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

A Versatile Multi-Agent Reinforcement Learning Benchmark for Inventory Management.

Xianliang Yang, Zhihao Liu, Wei Jiang, Chuheng Zhang, Li Zhao, Lei Song, Jiang Bian

CoRR, 2023

A Stochastic Online Forecast-and-Optimize Framework for Real-Time Energy Dispatch in Virtual Power Plants under Uncertainty.

Wei Jiang, Zhongkai Yi, Li Wang, Hanwei Zhang, Jihai Zhang, Fangquan Lin, Cheng Yang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Multi-Agent Reinforcement Learning with Shared Resources for Inventory Management.

Yuandong Ding, Mingxiao Feng, Guozi Liu, Wei Jiang, Chuheng Zhang, Li Zhao, Lei Song, Houqiang Li, Yan Jin, Jiang Bian

CoRR, 2022

KDD CUP 2022 Wind Power Forecasting Team 88VIP Solution.

Fangquan Lin, Wei Jiang, Hanwei Zhang, Cheng Yang

CoRR, 2022

A New Sequential Prediction Framework with Spatial-temporal Embedding.

Jihai Zhang, Fangquan Lin, Cheng Yang, Wei Jiang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Neighbor-Augmented Transformer-Based Embedding for Retrieval.

Jihai Zhang, Fangquan Lin, Wei Jiang, Cheng Yang, Gaoge Liu

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

The CityLearn Challenge 2022: Overview, Results, and Lessons Learned.

Kingsley Nweye, Zoltán Nagy, Sharada P. Mohanty, Dipam Chakraborty, Siva Sankaranarayanan, Tianzhen Hong, Sourav Dey, Gregor Henze, Ján Drgona, Fangquan Lin, Wei Jiang, Hanwei Zhang, Zhongkai Yi, Jihai Zhang, Cheng Yang, Matthew Motoki, Sorapong Khongnawang, Michael Ibrahim, Abilmansur Zhumabekov, Daniel May, Zhihu Yang, Xiaozhuang Song, Han Zhang, Xiaoning Dong, Shun Zheng, Jiang Bian

Proceedings of the NeurIPS 2022 Competition Track, 2021

Dynamic Sequential Recommendation: Decoupling User Intent from Temporal Context.

Wei Jiang, Fangquan Lin, Jihai Zhang, Cheng Yang, Hanwei Zhang, Ziqiang Cui

Proceedings of the 2021 International Conference on Data Mining, 2021

Dynamic Popularity-Aware Contrastive Learning for Recommendation.

Fangquan Lin, Wei Jiang, Jihai Zhang, Cheng Yang

Proceedings of the Asian Conference on Machine Learning, 2021