Low-Power Data Address Bus Encoding Method. - Wei-Hao Chiao; Tsung-Hsi Weng; Jean Jyh-Jiun Shann; Chung-Ping Chung; Jimmy Lu (CDES, 2005)

The CacheLib Caching Engine: Design and Experiences at Scale. - Benjamin Berg; Daniel S. Berger; Sara McAllister; Isaac Grosof; Sathya Gunasekar; Jimmy Lu; Michael Uhlar; Jim Carrig; Nathan Beckmann; Mor Harchol-Balter; Gregory R. Ganger (OSDI, 2020)

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)

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)

EffiE: Efficient Convolutional Neural Network for Real-Time EMG Pattern Recognition System on Edge Devices. - Jimmy Lu; Philip Liang; Jin Chul Rhim; Xiaorong Zhang; Zhuwei Qin (NER, 2023)

Techniques in Accelerating Query Processing on GPU. - Jimmy Lu (VLDB Workshops, 2023)

Baleen: ML Admission & Prefetching for Flash Caches. - Daniel Lin-Kit Wong; Hao Wu; Carson Molder; Sathya Gunasekar; Jimmy Lu; Snehal Khandkar; Abhinav Sharma; Daniel S. Berger; Nathan Beckmann; Gregory R. Ganger (FAST, 2024)