Evaluation and Analysis of In-Memory Key-Value Systems. - Wenqi Cao; Semih Sahin; Ling Liu 001; Xianqiang Bao (BigData Congress, 2016)

JVM Configuration Management and Its Performance Impact for Big Data Applications. - Semih Sahin; Wenqi Cao; Qi Zhang 009; Ling Liu 001 (BigData Congress, 2016)

Experimental Characterizations and Analysis of Deep Learning Frameworks. - Yanzhao Wu 001; Wenqi Cao; Semih Sahin; Ling Liu 001 (IEEE BigData, 2018)

Benchmarking Deep Learning Frameworks: Design Considerations, Metrics and Beyond. - Ling Liu 001; Yanzhao Wu 001; Wenqi Wei 001; Wenqi Cao; Semih Sahin; Qi Zhang 009 (ICDCS, 2018)

Efficient Shared Memory Orchestration towards Demand Driven Memory Slicing. - Qi Zhang 009; Ling Liu 001; Calton Pu; Wenqi Cao; Semih Sahin (ICDCS, 2018)

C-Stream: A Co-routine-Based Elastic Stream Processing Engine. - Semih Sahin; Bugra Gedik (ACM Trans. Parallel Comput., 2018)

Memory Disaggregation: Research Problems and Opportunities. - Ling Liu 001; Wenqi Cao; Semih Sahin; Qi Zhang 009; Juhyun Bae; Yanzhao Wu 001 (ICDCS, 2019)

Memory Abstraction and Optimization for Distributed Executors. - Semih Sahin; Ling Liu 001; Wenqi Cao; Qi Zhang 009; Juhyun Bae; Yanzhao Wu 001 (CIC, 2020)

Memory Optimizations for Distributed executors in Big Data Clouds. - Semih Sahin (2020)

A Comparative Measurement Study of Deep Learning as a Service Framework. - Yanzhao Wu 001; Ling Liu 001; Calton Pu; Wenqi Cao; Semih Sahin; Wenqi Wei 001; Qi Zhang 009 (IEEE Trans. Serv. Comput., 2022)