TimeStream: reliable stream computation in the cloud. - Zhengping Qian; Yong He; Chunzhi Su; Zhuojie Wu; Hongyu Zhu 003; Taizhi Zhang; Lidong Zhou; Yuan Yu; Zheng Zhang 001 (EuroSys, 2013)

Learning from Failure Across Multiple Clusters: A Trace-Driven Approach to Understanding, Predicting, and Mitigating Job Terminations. - Nosayba El-Sayed; Hongyu Zhu 003; Bianca Schroeder (ICDCS, 2017)

Benchmarking and Analyzing Deep Neural Network Training. - Hongyu Zhu 003; Mohamed Akrout; Bojian Zheng; Andrew Pelegris; Anand Jayarajan; Amar Phanishayee; Bianca Schroeder; Gennady Pekhimenko (IISWC, 2018)

TBD: Benchmarking and Analyzing Deep Neural Network Training. - Hongyu Zhu 003; Mohamed Akrout; Bojian Zheng; Andrew Pelegris; Amar Phanishayee; Bianca Schroeder; Gennady Pekhimenko (CoRR, 2018)

Daydream: Accurately Estimating the Efficacy of Optimizations for DNN Training. - Hongyu Zhu 003; Amar Phanishayee; Gennady Pekhimenko (USENIX ATC, 2020)

ROLLER: Fast and Efficient Tensor Compilation for Deep Learning. - Hongyu Zhu 003; Ruofan Wu; Yijia Diao; Shanbin Ke; Haoyu Li; Chen Zhang 001; Jilong Xue; Lingxiao Ma; Yuqing Xia; Wei Cui; Fan Yang 024; Mao Yang 004; et al. (OSDI, 2022)

Benchmarking, Profiling and White-box Performance Modeling for DNN Training - Hongyu Zhu 003 (2022)