Metis: Robustly Tuning Tail Latencies of Cloud Systems. - Zhao Lucis Li; Chieh-Jan Mike Liang; Wenjia He 001; Lianjie Zhu; Wenjun Dai; Jin Jiang; Guangzhong Sun (USENIX ATC, 2018)

Characterizing Privacy Risks of Mobile Apps with Sensitivity Analysis. - Li Lyna Zhang; Chieh-Jan Mike Liang; Zhao Lucis Li; Yunxin Liu 001; Feng Zhao 001; Enhong Chen (IEEE Trans. Mob. Comput., 2018)

Accelerating Rule-matching Systems with Learned Rankers. - Zhao Lucis Li; Chieh-Jan Mike Liang; Wei Bai 001; Qiming Zheng; Yongqiang Xiong; Guangzhong Sun (USENIX ATC, 2019)

AutoSys: The Design and Operation of Learning-Augmented Systems. - Chieh-Jan Mike Liang; Hui Xue 004; Mao Yang 004; Lidong Zhou; Lifei Zhu; Zhao Lucis Li; Zibo Wang; Qi Chen 009; Quanlu Zhang; Chuanjie Liu; Wenjun Dai (USENIX ATC, 2020)

On Modular Learning of Distributed Systems for Predicting End-to-End Latency. - Chieh-Jan Mike Liang; Zilin Fang; Yuqing Xie 005; Fan Yang 024; Zhao Lucis Li; Li Lyna Zhang; Mao Yang 004; Lidong Zhou (NSDI, 2023)