Yuexin Bian

According to our database, Yuexin Bian authored at least 17 papers between 2022 and 2026.

Collaborative distances:

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

2026

Low-Rank Adaptation for Critic Learning in Off-Policy Reinforcement Learning.

Yuan Zhuang, Yuexin Bian, Sihong He, Jie Feng, Qing Su, Songyang Han, Jonathan Petit, Shihao Ji, Yuanyuan Shi, Fei Miao

CoRR, April, 2026

RN-D: Discretized Categorical Actors with Regularized Networks for On-Policy Reinforcement Learning.

Yuexin Bian, Jie Feng, Tao Wang, Yijiang Li, Sicun Gao, Yuanyuan Shi

CoRR, January, 2026

DiffOP: Reinforcement Learning of Optimization-Based Control Policies via Implicit Policy Gradients.

Yuexin Bian, Jie Feng, Yuanyuan Shi

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

LD-MoLE: Learnable Dynamic Routing for Mixture of LoRA Experts.

Yuan Zhuang, Yi Shen, Yuexin Bian, Qing Su, Shihao Ji, Yuanyuan Shi, Fei Miao

CoRR, September, 2025

Revisiting Reinforcement Learning for LLM Reasoning from A Cross-Domain Perspective.

Zhoujun Cheng, Shibo Hao, Tianyang Liu, Fan Zhou, Yutao Xie, Feng Yao, Yuexin Bian, Yonghao Zhuang, Nilabjo Dey, Yuheng Zha, Yi Gu, Kun Zhou, Yuqi Wang, Yuan Li, Richard Fan, Jianshu She, Chengqian Gao, Abulhair Saparov, Haonan Li, Taylor W. Killian, Mikhail Yurochkin, Zhengzhong Liu, Eric P. Xing, Zhiting Hu

CoRR, June, 2025

Data-driven operator learning for energy-efficient building control.

Yuexin Bian, Yuanyuan Shi

CoRR, April, 2025

Toward Value-Oriented Renewable Energy Forecasting: An Iterative Learning Approach.

Yufan Zhang, Mengshuo Jia, Honglin Wen, Yuexin Bian, Yuanyuan Shi

IEEE Trans. Smart Grid, March, 2025

2024

Predicting Strategic Energy Storage Behaviors.

Yuexin Bian, Ningkun Zheng, Yang Zheng, Bolun Xu, Yuanyuan Shi

IEEE Trans. Smart Grid, 2024

Convergence Guarantees for Differentiable Optimization-based Control Policy.

Yuexin Bian, Jie Feng, Yuanyuan Shi

CoRR, 2024

Improving Sequential Market Clearing via Value-oriented Renewable Energy Forecasting.

Yufan Zhang, Honglin Wen, Yuexin Bian, Yuanyuan Shi

CoRR, 2024

Ventilation and Temperature Control for Energy-efficient and Healthy Buildings: A Differentiable PDE Approach.

Yuexin Bian, Xiaohan Fu, Rajesh K. Gupta, Yuanyuan Shi

CoRR, 2024

PDE control gym: A benchmark for data-driven boundary control of partial differential equations.

Luke Bhan, Yuexin Bian, Miroslav Krstic, Yuanyuan Shi

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

2023

Identifying Electrocardiogram Abnormalities Using a Handcrafted-Rule-Enhanced Neural Network.

Yuexin Bian, Jintai Chen, Xiaojun Chen, Xiaoxian Yang, Danny Z. Chen, Jian Wu

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Deriving Loss Function for Value-oriented Renewable Energy Forecasting.

Yufan Zhang, Honglin Wen, Yuexin Bian, Yuanyuan Shi

CoRR, 2023

BEAR-Data: Analysis and Applications of an Open Multizone Building Dataset.

Yuexin Bian, Xiaohan Fu, Bo Liu, Rohith Rachala, Rajesh K. Gupta, Yuanyuan Shi

Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023

2022

Carbon-Aware EV Charging.

Kai-Wen Cheng, Yuexin Bian, Yuanyuan Shi, Yize Chen

Proceedings of the IEEE International Conference on Communications, 2022

Demand response model identification and behavior forecast with OptNet: a gradient-based approach.

Yuexin Bian, Ningkun Zheng, Yang Zheng, Bolun Xu, Yuanyuan Shi

Proceedings of the e-Energy '22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022, 2022