Weyl Lu

According to our database, Weyl Lu authored at least 7 papers between 2024 and 2026.

Collaborative distances:

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

2026

Deep Networks Favor Simple Data.

Weyl Lu, Chenjie Hao, Yubei Chen

CoRR, April, 2026

When Models Know When They Do Not Know: Calibration, Cascading, and Cleaning.

Chenjie Hao, Weyl Lu, Yuko Ishiwaka, Zengyi Li, Weier Wan, Yubei Chen

CoRR, January, 2026

2025

SmallWorlds: Assessing Dynamics Understanding of World Models in Isolated Environments.

Xinyi Li, Zaishuo Xia, Weyl Lu, Chenjie Hao, Yubei Chen

CoRR, November, 2025

Neural Motion Simulator Pushing the Limit of World Models in Reinforcement Learning.

Chenjie Hao, Weyl Lu, Yifan Xu, Yubei Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

RA-PbRL: Provably Efficient Risk-Aware Preference-Based Reinforcement Learning.

Yujie Zhao, Jose Efraim Aguilar Escamill, Weyl Lu, Huazheng Wang

CoRR, 2024

RA-PbRL: Provably Efficient Risk-Aware Preference-Based Reinforcement Learning.

Yujie Zhao, Jose E. Aguilar Escamilla, Weyl Lu, Huazheng Wang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

LEO Satellite Network Resilience Analysis: A Focus on Critical Satellites.

Zhuoyuan Li, Wenyi Morty Zhang, Wenhao Chen, Yiyan Hu, Weyl Lu

Proceedings of the 2nd International Workshop on LEO Networking and Communication, 2024