A Graph based approach for Co-scheduling jobs on Multi-core computers. - Huanzhou Zhu; Ligang He (ICCSW, 2013)

Optimizing Job Scheduling on Multicore Computers. - Huanzhou Zhu; Ligang He; Stephen A. Jarvis (MASCOTS, 2014)

Modelling and Developing Co-scheduling Strategies on Multicore Processors. - Huanzhou Zhu; Ligang He; Bo Gao 001; Kenli Li 001; Jianhua Sun 002; Hao Chen 002; Keqin Li 001 (ICPP, 2015)

Developing Graph-Based Co-Scheduling Algorithms on Multicore Computers. - Ligang He; Huanzhou Zhu; Stephen A. Jarvis (IEEE Trans. Parallel Distributed Syst., 2016)

Developing graph-based co-scheduling algorithms with GPU acceleration. - Huanzhou Zhu (2016)

Developing power-aware scheduling mechanisms for computing systems virtualized by Xen. - Shenyuan Ren; Ligang He; Huanzhou Zhu; Zhuoer Gu; Wei Song; Jiandong Shang (Concurr. Comput. Pract. Exp., 2017)

Developing a pattern discovery method in time series data and its GPU acceleration. - Huanzhou Zhu; Zhuoer Gu; Haiming Zhao; Keyang Chen; Chang-Tsun Li; Ligang He (Big Data Min. Anal., 2018)

SGX-LKL: Securing the Host OS Interface for Trusted Execution. - Christian Priebe; Divya Muthukumaran; Joshua Lind; Huanzhou Zhu; Shujie Cui; Vasily A. Sartakov; Peter R. Pietzuch (CoRR, 2019)

WolfPath: Accelerating Iterative Traversing-Based Graph Processing Algorithms on GPU. - Huanzhou Zhu; Ligang He; Songling Fu; Rui Li 020; Xie Han; Zhangjie Fu; Yongjian Hu; Chang-Tsun Li (Int. J. Parallel Program., 2019)

WolfGraph: The edge-centric graph processing on GPU. - Huanzhou Zhu; Ligang He; Matthew Leeke; Rui Mao 001 (Future Gener. Comput. Syst., 2020)

MSRL: Distributed Reinforcement Learning with Dataflow Fragments. - Huanzhou Zhu; Bo Zhao 019; Gang Chen; Weifeng Chen; Yijie Chen; Liang Shi; Yaodong Yang 001; Peter R. Pietzuch; Lei Chen (USENIX ATC, 2023)