ScaleLLM: A Resource-Frugal LLM Serving Framework by Optimizing End-to-End Efficiency. - Yuhang Yao; Han Jin; Alay Dilipbhai Shah; Shanshan Han; Zijian Hu 001; Dimitris Stripelis; Yide Ran; Zhaozhuo Xu; Salman Avestimehr; Chaoyang He 001 (EMNLP (Industry Track), 2024)

Zeroth-Order Fine-Tuning of LLMs with Extreme Sparsity. - Wentao Guo; Jikai Long; Yimeng Zeng; Zirui Liu 001; Xinyu Yang 002; Yide Ran; Jacob R. Gardner; Osbert Bastani; Christopher De Sa; Xiaodong Yu; Beidi Chen; Zhaozhuo Xu (CoRR, 2024)

Alopex: A Computational Framework for Enabling On-Device Function Calls with LLMs. - Yide Ran; Zhaozhuo Xu; Yuhang Yao; Zijian Hu 001; Shanshan Han; Han Jin; Alay Dilipbhai Shah; Jipeng Zhang; Dimitris Stripelis; Tong Zhang 001; Salman Avestimehr; Chaoyang He 001 (CoRR, 2024)

Zeroth-Order Fine-Tuning of LLMs with Transferable Static Sparsity. - Wentao Guo; Jikai Long; Yimeng Zeng; Zirui Liu 001; Xinyu Yang 002; Yide Ran; Jacob R. Gardner; Osbert Bastani; Christopher De Sa; Xiaodong Yu; Beidi Chen; Zhaozhuo Xu (ICLR, 2025)

ALinFiK: Learning to Approximate Linearized Future Influence Kernel for Scalable Third-Parity LLM Data Valuation. - Yanzhou Pan; Huawei Lin 001; Yide Ran; Jiamin Chen; Xiaodong Yu; Weijie Zhao 001; Denghui Zhang; Zhaozhuo Xu (NAACL (Long Papers), 2025)

Mitigating Non-IID Drift in Zeroth-Order Federated LLM Fine-Tuning with Transferable Sparsity. - Yide Ran; Wentao Guo; Jingwei Sun 002; Yanzhou Pan; Xiaodong Yu; Hao Wang; Jianwen Xie; Yiran Chen 001; Denghui Zhang; Zhaozhuo Xu (CoRR, 2025)