Li Zhou

I am now working on Machine Learning at Twitter. Before this, I received my PhD from Department of Computer Science and Engineering, The Ohio State University, working with Prof. Radu Teodorescu. My research interests lie in the broad area of computer architecture/system, large-scale graph processing, distributed machine learning, and security.

Interests

Education

Publications

Yinglong Xia, Li Zhou, Ren Chen (2021). System for handling concurrent property graph queries. US Patent US11120023.

Mohammad Hossein Samavatian, Anys Bacha, Li Zhou, Radu Teodorescu (2020). Rnnfast: An accelerator for recurrent neural networks using domain-wall memory. In ACM Journal on Emerging Technologies in Computing Systems (JETC).

Li Zhou, Mohammad Hossein Samavatian, Anys Bacha, Saikat Majumdar, Radu Teodorescu (2019). Adaptive parallel execution of deep neural networks on heterogeneous edge devices. In ACM/IEEE Symposium on Edge Computing (SEC).

Kristin Barber, Anys Bacha, Li Zhou, Yinqian Zhang, Radu Teodorescu (2019). Specshield: Shielding speculative data from microarchitectural covert channels. In International Conference on Parallel Architectures and Compilation Techniques (PACT).

Li Zhou, Hao Wen, Radu Teodorescu, David Hung-Chang Du (2019). Distributing deep neural networks with containerized partitions at the edge. In USENIX Workshop on Hot Topics in Edge Computing (HotEdge).

Kristin Barber, Anys Bacha, Li Zhou, Yinqian Zhang, Radu Teodorescu (2019). Isolating speculative data to prevent transient execution attacks. In IEEE Computer Architecture Letters (CAL).

Xiang Pan, Anys Bacha, Spencer Rudolph, Li Zhou, Yinqian Zhang, Radu Teodorescu (2018). Nvcool: When non-volatile caches meet cold boot attacks. In IEEE International Conference on Computer Design (ICCD).

Li Zhou, Ren Chen, Yinglong Xia, Radu Teodorescu (2018). C-graph: A highly efficient concurrent graph reachability query framework. In International Conference on Parallel Processing (ICPP).

Qingsong Wen, Ren Chen, Lifeng Nai, Li Zhou, Yinglong Xia (2017). Finding top k shortest simple paths with improved space efficiency. In International Workshop on Graph Data-management Experiences & Systems (GRADES).

Li Zhou, Yinglong Xia, Hui Zang, Jian Xu, Mingzhen Xia (2016). An edge-set based large scale graph processing system. In IEEE International Conference on Big Data (Big Data).

Renji Thomas, Kristin Barber, Naser Sedaghati, Li Zhou, Radu Teodorescu (2016). Core tunneling: Variation-aware voltage noise mitigation in GPUs. In IEEE International Symposium on High Performance Computer Architecture (HPCA).

Li Zhou, Avinash Karanth Kodi (2013). Probe: Prediction-based optical bandwidth scaling for energy-efficient nocs. In IEEE/ACM International Symposium on Networks-on-Chip (NOCS).