Memory and Computation Coordinated Mapping of DNNs onto Complex Heterogeneous SoC. - Size Zheng 001; Siyuan Chen 007; Yun Liang 001 (DAC, 2023)

Chimera: An Analytical Optimizing Framework for Effective Compute-intensive Operators Fusion. - Size Zheng 001; Siyuan Chen 007; Peidi Song; Renze Chen; Xiuhong Li; Shengen Yan; Dahua Lin; Jingwen Leng; Yun Liang 001 (HPCA, 2023)

ED-Batch: Efficient Automatic Batching of Dynamic Neural Networks via Learned Finite State Machines. - Siyuan Chen 007; Pratik Pramod Fegade; Tianqi Chen 001; Phillip B. Gibbons; Todd C. Mowry (ICML, 2023)

TileFlow: A Framework for Modeling Fusion Dataflow via Tree-based Analysis. - Size Zheng 001; Siyuan Chen 007; Siyuan Gao; Liancheng Jia; Guangyu Sun 003; Runsheng Wang; Yun Liang 001 (MICRO, 2023)

Practical offloading for fine-tuning LLM on commodity GPU via learned subspace projectors. - Siyuan Chen 007; Zelong Guan; Yudong Liu; Phillip B. Gibbons (CoRR, 2024)

Practical Offloading for Fine-Tuning LLM on Commodity GPU via Learned Sparse Projectors. - Siyuan Chen 007; Zhuofeng Wang; Zelong Guan; Yudong Liu; Phillip B. Gibbons (AAAI, 2025)

RTBAS: Defending LLM Agents Against Prompt Injection and Privacy Leakage. - Peter Yong Zhong; Siyuan Chen 007; Ruiqi Wang; McKenna McCall; Ben L. Titzer; Heather Miller; Phillip B. Gibbons (CoRR, 2025)

SLOs-Serve: Optimized Serving of Multi-SLO LLMs. - Siyuan Chen 007; Zhipeng Jia; Samira Khan; Arvind Krishnamurthy; Phillip B. Gibbons (CoRR, 2025)