EvoX: A Distributed GPU-accelerated Library towards Scalable Evolutionary Computation. - Beichen Huang; Ran Cheng; Yaochu Jin; Kay Chen Tan (CoRR, 2023)

Aerial-IRS-Assisted Load Balancing In Downlink Networks. - Shuyi Ren; Beichen Huang; Xiaoyang Li 002; Kaiming Shen (ICASSP, 2024)

Multidimensional Fractional Programming for Normalized Cuts. - Yannan Chen; Beichen Huang; Licheng Zhao; Kaiming Shen (NeurIPS, 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 001; Ran Cheng; Kay Chen Tan (CoRR, 2024)

MiLo: Efficient Quantized MoE Inference with Mixture of Low-Rank Compensators. - Beichen Huang; Yueming Yuan; Zelei Shao; Minjia Zhang (CoRR, 2025)

EvoGit: Decentralized Code Evolution via Git-Based Multi-Agent Collaboration. - Beichen Huang; Ran Cheng; Kay Chen Tan (CoRR, 2025)