Enabling Space Elasticity in Storage Systems. - Helgi Sigurbjarnarson; Petur Orri Ragnarsson; Juncheng Yang; Ymir Vigfusson; Mahesh Balakrishnan 001 (SYSTOR, 2016)

Mithril: mining sporadic associations for cache prefetching. - Juncheng Yang; Reza Karimi; Trausti Sæmundsson; Avani Wildani; Ymir Vigfusson (SoCC, 2017)

Secure Skyline Queries on Cloud Platform. - Jinfei Liu; Juncheng Yang; Li Xiong 001; Jian Pei 001 (ICDE, 2017)

Mutant: Balancing Storage Cost and Latency in LSM-Tree Data Stores. - Hobin Yoon; Juncheng Yang; Sveinn Fannar Kristjansson; Steinn E. Sigurðarson; Ymir Vigfusson; Ada Gavrilovska (SoCC, 2018)

Skyline Diagram: Finding the Voronoi Counterpart for Skyline Queries. - Jinfei Liu; Juncheng Yang; Li Xiong 001; Jian Pei 001; Jun Luo 007 (ICDE, 2018)

Study on Brain Electromyography Rehabilitation System Based on Data Fusion and Virtual Rehabilitation Simulation. - Shuxia Li; Juncheng Yang (J. Medical Syst., 2019)

Secure and Efficient Skyline Queries on Encrypted Data. - Jinfei Liu; Juncheng Yang; Li Xiong 001; Jian Pei 001 (IEEE Trans. Knowl. Data Eng., 2019)

When is the Cache Warm? Manufacturing a Rule of Thumb. - Lei Zhang; Juncheng Yang; Anna Blasiak; Mike McCall; Ymir Vigfusson (HotCloud, 2020)

PACEMAKER: Avoiding HeART attacks in storage clusters with disk-adaptive redundancy. - Saurabh Kadekodi; Francisco Maturana; Suhas Jayaram Subramanya; Juncheng Yang; K. V. Rashmi; Gregory R. Ganger (OSDI, 2020)

A large scale analysis of hundreds of in-memory cache clusters at Twitter. - Juncheng Yang; Yao Yue; K. V. Rashmi (OSDI, 2020)

Segcache: a memory-efficient and scalable in-memory key-value cache for small objects. - Juncheng Yang; Yao Yue; Rashmi Vinayak (NSDI, 2021)

Kangaroo: Caching Billions of Tiny Objects on Flash. - Sara McAllister; Benjamin Berg; Julian Tutuncu-Macias; Juncheng Yang; Sathya Gunasekar; Jimmy Lu; Daniel S. Berger; Nathan Beckmann; Gregory R. Ganger (SOSP, 2021)

Skyline Diagram: Efficient Space Partitioning for Skyline Queries. - Jinfei Liu; Juncheng Yang; Li Xiong 001; Jian Pei 001; Jun Luo 007; Yuzhang Guo; Shuaicheng Ma; Chenglin Fan (IEEE Trans. Knowl. Data Eng., 2021)

A Large-scale Analysis of Hundreds of In-memory Key-value Cache Clusters at Twitter. - Juncheng Yang; Yao Yue; K. V. Rashmi (ACM Trans. Storage, 2021)

C2DN: How to Harness Erasure Codes at the Edge for Efficient Content Delivery. - Juncheng Yang; Anirudh Sabnis; Daniel S. Berger; K. V. Rashmi; Ramesh K. Sitaraman (NSDI, 2022)

Kangaroo: Theory and Practice of Caching Billions of Tiny Objects on Flash. - Sara McAllister; Benjamin Berg; Julian Tutuncu-Macias; Juncheng Yang; Sathya Gunasekar; Jimmy Lu; Daniel S. Berger; Nathan Beckmann; Gregory R. Ganger (ACM Trans. Storage, 2022)

LatenSeer: Causal Modeling of End-to-End Latency Distributions by Harnessing Distributed Tracing. - Yazhuo Zhang; Rebecca Isaacs; Yao Yue; Juncheng Yang; Lei Zhang; Ymir Vigfusson (SoCC, 2023)

FrozenHot Cache: Rethinking Cache Management for Modern Hardware. - Ziyue Qiu; Juncheng Yang; Juncheng Zhang; Cheng Li 001; Xiaosong Ma; Qi Chen 009; Mao Yang 004; Yinlong Xu (EuroSys, 2023)

GL-Cache: Group-level learning for efficient and high-performance caching. - Juncheng Yang; Ziming Mao; Yao Yue; K. V. Rashmi (FAST, 2023)

FIFO can be Better than LRU: the Power of Lazy Promotion and Quick Demotion. - Juncheng Yang; Ziyue Qiu; Yazhuo Zhang; Yao Yue; K. V. Rashmi (HotOS, 2023)

MAPLE: Semi-Supervised Learning with Multi-Alignment and Pseudo-Learning. - Juncheng Yang; Chao Li; Zuchao Li; Wei Yu 009; Bo Du 001; Shijun Li 001 (KDD, 2023)

FIFO queues are all you need for cache eviction. - Juncheng Yang; Yazhuo Zhang; Ziyue Qiu; Yao Yue; Rashmi Vinayak (SOSP, 2023)

Efficient Fault Tolerance for Recommendation Model Training via Erasure Coding. - Tianyu Zhang; Kaige Liu; Jack Kosaian; Juncheng Yang; Rashmi Vinayak (Proc. VLDB Endow., 2023)

Soft-Prompting with Graph-of-Thought for Multi-modal Representation Learning. - Juncheng Yang; Zuchao Li; Shuai Xie; Wei Yu 009; Shijun Li 001; Bo Du 001 (LREC/COLING, 2024)

Design of Grinder Fixture Based on Non-Parametric Regression Response Surface. - Gaofeng Xu; Bao Li; Zhengcai Wang; Juncheng Yang (ICCEIC, 2024)

Cross-Modal Adapter: Parameter-Efficient Transfer Learning Approach for Vision-Language Models. - Juncheng Yang; Zuchao Li; Shuai Xie; Weiping Zhu; Wei Yu 009; Shijun Li 001 (ICME, 2024)

DSDRNet: Disentangling Representation and Reconstruct Network for Domain Generalization. - Juncheng Yang; Qiwei Li 002; Shuai Xie; Wei Yu; Shijun Li (IJCNN, 2024)

SIEVE is Simpler than LRU: an Efficient Turn-Key Eviction Algorithm for Web Caches. - Yazhuo Zhang; Juncheng Yang; Yao Yue; Ymir Vigfusson; K. V. Rashmi (NSDI, 2024)

DSDRNet: Disentangling Representation and Reconstruct Network for Domain Generalization. - Juncheng Yang; Zuchao Li; Shuai Xie; Wei Yu 009; Shijun Li 001 (CoRR, 2024)

Can Increasing the Hit Ratio Hurt Cache Throughput? - Ziyue Qiu; Juncheng Yang; Mor Harchol-Balter (CoRR, 2024)

Helix: Distributed Serving of Large Language Models via Max-Flow on Heterogeneous GPUs. - Yixuan Mei; Yonghao Zhuang 001; Xupeng Miao; Juncheng Yang; Zhihao Jia; Rashmi Vinayak (CoRR, 2024)

Generalizing to unseen domains via PatchMix. - Juncheng Yang; Zuchao Li; Chao Li; Shuai Xie; Wei Yu 009; Shijun Li 001 (Multim. Syst., 2024)

A Time-Series-Based Sample Amplification Model for Data Stream with Sparse Samples. - Juncheng Yang; Wei Yu 009; Fang Yu; Shijun Li 001 (Neural Process. Lett., 2024)

Helix: Serving Large Language Models over Heterogeneous GPUs and Network via Max-Flow. - Yixuan Mei; Yonghao Zhuang 001; Xupeng Miao; Juncheng Yang; Zhihao Jia; Rashmi Vinayak (ASPLOS (1), 2025)

AI and the Transformation of Accountability and Discretion in Urban Governance. - Stephen Goldsmith; Juncheng Yang (CoRR, 2025)

Towards Efficient LLM Storage Reduction via Tensor Deduplication and Delta Compression. - Zirui Wang; Tingfeng Lan; Zhaoyuan Su; Juncheng Yang; Yue Cheng (CoRR, 2025)

Efficient and Workload-Aware LLM Serving via Runtime Layer Swapping and KV Cache Resizing. - Zhaoyuan Su; Tingfeng Lan; Zirui Wang; Juncheng Yang; Yue Cheng (CoRR, 2025)

Arctic Inference with Shift Parallelism: Fast and Efficient Open Source Inference System for Enterprise AI. - Samyam Rajbhandari; Mert Hidayetoglu; Aurick Qiao; Ye Wang; Juncheng Yang; Jeff Rasley; Michael Wyatt; Yuxiong He (CoRR, 2025)