Disaggregated operating system. - Yizhou Shan; Sumukh Hallymysore; Yutong Huang; Yilun Chen; Yiying Zhang 005 (SoCC, 2017)

Distributed shared persistent memory. - Yizhou Shan; Shin-Yeh Tsai; Yiying Zhang 005 (SoCC, 2017)

LegoOS: A Disseminated, Distributed OS for Hardware Resource Disaggregation. - Yizhou Shan; Yutong Huang; Yilun Chen; Yiying Zhang 005 (OSDI, 2018)

Storm: a fast transactional dataplane for remote data structures. - Stanko Novakovic; Yizhou Shan; Aasheesh Kolli; Michael Cui; Yiying Zhang 005; Haggai Eran; Boris Pismenny; Liran Liss; Michael Wei; Dan Tsafrir; Marcos K. Aguilera (SYSTOR, 2019)

Storm: a fast transactional dataplane for remote data structures. - Stanko Novakovic; Yizhou Shan; Aasheesh Kolli; Michael Cui; Yiying Zhang 005; Haggai Eran; Liran Liss; Michael Wei; Dan Tsafrir; Marcos K. Aguilera (CoRR, 2019)

Disaggregating Persistent Memory and Controlling Them Remotely: An Exploration of Passive Disaggregated Key-Value Stores. - Shin-Yeh Tsai; Yizhou Shan; Yiying Zhang 005 (USENIX ATC, 2020)

Disaggregating and Consolidating Network Functionalities with SuperNIC. - Yizhou Shan; Will Lin; Ryan Kosta; Arvind Krishnamurthy; Yiying Zhang 005 (CoRR, 2021)

Towards a fully disaggregated and programmable data center. - Yizhou Shan; Will Lin; Zhiyuan Guo; Yiying Zhang 005 (APSys, 2022)

Clio: a hardware-software co-designed disaggregated memory system. - Zhiyuan Guo; Yizhou Shan; Xuhao Luo; Yutong Huang; Yiying Zhang 005 (ASPLOS, 2022)

Distributing and Disaggregating Hardware Resources in Data Centers. - Yizhou Shan (2022)

MARB: Bridge the Semantic Gap between Operating System and Application Memory Access Behavior. - Haifeng Li; Ke Liu 004; Ting Liang; Zuojun Li; Tianyue Lu; Yisong Chang; Hui Yuan; Yinben Xia; Yungang Bao; Mingyu Chen 001; Yizhou Shan (DATE, 2023)

Skadi: Building a Distributed Runtime for Data Systems in Disaggregated Data Centers. - Cunchen Hu; Chenxi Wang; Sa Wang; Ninghui Sun; Yungang Bao; Jieru Zhao; Sanidhya Kashyap; Pengfei Zuo; Xusheng Chen; Liangliang Xu; Qin Zhang; Hao Feng; et al. (HotOS, 2023)

HoPP: Hardware-Software Co-Designed Page Prefetching for Disaggregated Memory. - Haifeng Li; Ke Liu 004; Ting Liang; Zuojun Li; Tianyue Lu; Hui Yuan; Yinben Xia; Yungang Bao; Mingyu Chen 001; Yizhou Shan (HPCA, 2023)

Core slicing: closing the gap between leaky confidential VMs and bare-metal cloud. - Ziqiao Zhou; Yizhou Shan; Weidong Cui; Xinyang Ge; Marcus Peinado; Andrew Baumann (OSDI, 2023)

SuperNIC: An FPGA-Based, Cloud-Oriented SmartNIC. - Will Lin; Yizhou Shan; Ryan Kosta; Arvind Krishnamurthy; Yiying Zhang 005 (FPGA, 2024)

Inference without Interference: Disaggregate LLM Inference for Mixed Downstream Workloads. - Cunchen Hu; Heyang Huang; Liangliang Xu; Xusheng Chen; Jiang Xu; Shuang Chen; Hao Feng; Chenxi Wang; Sa Wang; Yungang Bao; Ninghui Sun; Yizhou Shan (CoRR, 2024)

CaraServe: CPU-Assisted and Rank-Aware LoRA Serving for Generative LLM Inference. - Suyi Li 002; Hanfeng Lu; Tianyuan Wu; Minchen Yu; Qizhen Weng; Xusheng Chen; Yizhou Shan; Binhang Yuan; Wei Wang 030 (CoRR, 2024)

The CAP Principle for LLM Serving: A Survey of Long-Context Large Language Model Serving. - Pai Zeng; Zhenyu Ning; Jieru Zhao; Weihao Cui; Mengwei Xu; Liwei Guo; Xusheng Chen; Yizhou Shan (CoRR, 2024)

MemServe: Context Caching for Disaggregated LLM Serving with Elastic Memory Pool. - Cunchen Hu; Heyang Huang; Junhao Hu; Jiang Xu; Xusheng Chen; Tao Xie 001; Chenxi Wang; Sa Wang; Yungang Bao; Ninghui Sun; Yizhou Shan (CoRR, 2024)

InstInfer: In-Storage Attention Offloading for Cost-Effective Long-Context LLM Inference. - Xiurui Pan; Endian Li; Qiao Li 001; Shengwen Liang; Yizhou Shan; Ke Zhou 001; Yingwei Luo; Xiaolin Wang 001; Jie Zhang 048 (CoRR, 2024)

EPIC: Efficient Position-Independent Context Caching for Serving Large Language Models. - Junhao Hu; Wenrui Huang; Haoyi Wang; Weidong Wang; Tiancheng Hu; Qin Zhang; Hao Feng; Xusheng Chen; Yizhou Shan; Tao Xie 001 (CoRR, 2024)

Fast and Live Model Auto Scaling with O(1) Host Caching. - Dingyan Zhang; Haotian Wang; Yang Liu; Xingda Wei; Yizhou Shan; Rong Chen 001; Haibo Chen 001 (CoRR, 2024)

RaaS: Reasoning-Aware Attention Sparsity for Efficient LLM Reasoning. - Junhao Hu; Wenrui Huang; Weidong Wang; Zhenwen Li; Tiancheng Hu; Zhixia Liu; Xusheng Chen; Tao Xie; Yizhou Shan (ACL (Findings), 2025)

InstAttention: In-Storage Attention Offloading for Cost-Effective Long-Context LLM Inference. - Xiurui Pan; Endian Li; Qiao Li 001; Shengwen Liang; Yizhou Shan; Ke Zhou 001; Yingwei Luo; Xiaolin Wang 001; Jie Zhang 048 (HPCA, 2025)

Beehive: A Scalable Disaggregated Memory Runtime Exploiting Asynchrony of Multithreaded Programs. - Quanxi Li; Hong Huang; Ying Liu 055; Yanwen Xia; Jie Zhang; Mosong Zhou; Xiaobing Feng 002; Huimin Cui; Quan Chen; Yizhou Shan; Chenxi Wang (NSDI, 2025)

BlitzScale: Fast and Live Large Model Autoscaling with O(1) Host Caching. - Dingyan Zhang; Haotian Wang; Yang Liu; Xingda Wei; Yizhou Shan; Rong Chen 001; Haibo Chen 001 (OSDI, 2025)

Toppings: CPU-Assisted, Rank-Aware Adapter Serving for LLM Inference. - Suyi Li 002; Hanfeng Lu; Tianyuan Wu; Minchen Yu; Qizhen Weng; Xusheng Chen; Yizhou Shan; Binhang Yuan; Wei Wang 030 (USENIX ATC, 2025)

DEEPSERVE: Serverless Large Language Model Serving at Scale. - Junhao Hu; Jiang Xu; Zhixia Liu; Yulong He; Yuetao Chen; Hao Xu; Jiang Liu; Jie Meng; Baoquan Zhang; Shining Wan; Gengyuan Dan; Zhiyu Dong; et al. (USENIX ATC, 2025)

DRack: A CXL-Disaggregated Rack Architecture to Boost Inter-Rack Communication. - Xu Zhang 033; Ke Liu 004; Yuan Hui; Xiaolong Zheng; Yisong Chang; Yizhou Shan; Guanghui Zhang; Ke Zhang 017; Yungang Bao; Mingyu Chen 001; Chenxi Wang (USENIX ATC, 2025)

DeepFlow: Serverless Large Language Model Serving at Scale. - Junhao Hu; Jiang Xu; Zhixia Liu; Yulong He; Yuetao Chen; Hao Xu; Jiang Liu; Baoquan Zhang; Shining Wan; Gengyuan Dan; Zhiyu Dong; Zhihao Ren; et al. (CoRR, 2025)

Efficient Long-Decoding Inference with Reasoning-Aware Attention Sparsity. - Junhao Hu; Wenrui Huang; Weidong Wang; Zhenwen Li; Tiancheng Hu; Zhixia Liu; Xusheng Chen; Tao Xie 001; Yizhou Shan (CoRR, 2025)

Improving the Serving Performance of Multi-LoRA Large Language Models via Efficient LoRA and KV Cache Management. - Hang Zhang; Jiuchen Shi; Yixiao Wang; Quan Chen 002; Yizhou Shan; Minyi Guo (CoRR, 2025)

DDiT: Dynamic Resource Allocation for Diffusion Transformer Model Serving. - Heyang Huang; Cunchen Hu; Jiaqi Zhu; Ziyuan Gao; Liangliang Xu; Yizhou Shan; Yungang Bao; Ninghui Sun; Tianwei Zhang; Sa Wang (CoRR, 2025)

Efficient Serving of LLM Applications with Probabilistic Demand Modeling. - Yifei Liu; Zuo Gan; Zhenghao Gan; Weiye Wang; Chen Chen 067; Yizhou Shan; Xusheng Chen; Zhenhua Han; Yifei Zhu 001; Shixuan Sun; Minyi Guo (CoRR, 2025)

ShuffleInfer: Disaggregate LLM Inference for Mixed Downstream Workloads. - Cunchen Hu; Heyang Huang; Liangliang Xu; Xusheng Chen; Chenxi Wang; Jiang Xu; Shuang Chen; Hao Feng; Sa Wang; Yungang Bao; Ninghui Sun; Yizhou Shan (ACM Trans. Archit. Code Optim., 2025)

xDeepServe: Model-as-a-Service on Huawei CloudMatrix384. - Ao Xiao; Bangzheng He; Baoquan Zhang; Baoxing Huai; Bingji Wang; Bo Wang; Bo Xu; Boyi Hou; Chan Yang; Changhong Liu; Cheng Cui; Chenyu Zhu; et al. (CoRR, 2025)