Publications

  1. Xizhe Yin, Chao Gao, Zhijia Zhao, and Rajiv Gupta. Enhancing Graph-based Approximate Nearest Neighbor Search through Recency-aware Construction and Parameterized Search. In Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP), March 2025.

  2. Xizhe Yin, Zhijia Zhao, and Rajiv Gupta. IncBoost: Scaling Incremental Graph Processing for Edge Deletions and Weight Updates. In Proceedings of the ACM Symposium on Cloud Computing (ACM SoCC), November 2024.

  3. Xizhe Yin, Zhijia Zhao, and Rajiv Gupta. Glign: Taming Misaligned Graph Traversals in Concur- rent Graph Processing. In Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2023.

  4. Xiaolin Jiang*, Chengshuo Xu*, Xizhe Yin*, Zhijia Zhao, and Rajiv Gupta. Tripoline: generalized in- cremental graph processing via graph triangle inequality. In Proceedings of the Sixteenth European Conference on Computer Systems (EuroSys), 2021. (* co-primary)

  5. Jeremiah Griffin, Mohsen Lesani, Narges Shadab, and Xizhe Yin. Tlc: temporal logic of distributed components. In Proceedings of the ACM on Programming Languages, 4(ICFP):1–30, 2020.

  6. Xizhe Yin, Gary Shen, Xianbin Wang, and Weiming Shen. Mitigating sensor differences for phone- based human activity recognition. In IEEE International Conference on Systems, Man, and Cyber- netics (SMC), 2016.

  7. Xizhe Yin, Xianbin Wang, and Weiming Shen. Incremental clustering for human activity detec- tion based on phone sensor data. In IEEE 20th International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2016.

  8. Xizhe Yin, Weiming Shen, Jagath Samarabandu, Xianbin Wang. Human activity detection based on multiple smart phone sensors and machine learning algorithms. In IEEE 19th International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2015.