Beichen Huang

According to our database, Beichen Huang authored at least 9 papers between 2023 and 2026.

Collaborative distances:

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

2026

Hidden States as Early Signals: Step-level Trace Evaluation and Pruning for Efficient Test-Time Scaling.

Zhixiang Liang, Beichen Huang, Zheng Wang, Minjia Zhang

CoRR, January, 2026

2025

Evaluation of Large Language Models as Solution Generators in Complex Optimization.

Beichen Huang, Xingyu Wu, Yu Zhou, Jibin Wu, Liang Feng, Ran Cheng, Kay Chen Tan

IEEE Comput. Intell. Mag., November, 2025

EvoX: A Distributed GPU-Accelerated Framework for Scalable Evolutionary Computation.

Beichen Huang, Ran Cheng, Zhuozhao Li, Yaochu Jin, Kay Chen Tan

IEEE Trans. Evol. Comput., October, 2025

EvoGit: Decentralized Code Evolution via Git-Based Multi-Agent Collaboration.

Beichen Huang, Ran Cheng, Kay Chen Tan

CoRR, June, 2025

MiLo: Efficient Quantized MoE Inference with Mixture of Low-Rank Compensators.

Beichen Huang, Yueming Yuan, Zelei Shao, Minjia Zhang

Proceedings of the Eighth Conference on Machine Learning and Systems, 2025

2024

Exploring the True Potential: Evaluating the Black-box Optimization Capability of Large Language Models.

Beichen Huang, Xingyu Wu, Yu Zhou, Jibin Wu, Liang Feng, Ran Cheng, Kay Chen Tan

CoRR, 2024

Multidimensional Fractional Programming for Normalized Cuts.

Yannan Chen, Beichen Huang, Licheng Zhao, Kaiming Shen

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Aerial-IRS-Assisted Load Balancing In Downlink Networks.

Shuyi Ren, Beichen Huang, Xiaoyang Li, Kaiming Shen

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

EvoX: A Distributed GPU-accelerated Library towards Scalable Evolutionary Computation.

Beichen Huang, Ran Cheng, Yaochu Jin, Kay Chen Tan

CoRR, 2023