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Publications

  1. Mengyang Ma, Xizhe Yin, and Junqiao Qiu. GAAF: Fast and Scalable Graph-based Vector Similarity Search with Any-Match Label Filtering ACM International Conference on Supercomputing (ICS), June 2026.
  2. Mahbod Afarin, Chao Gao, Xizhe Yin, Zhijia Zhao, Nael Abu-Ghazaleh, and Rajiv Gupta. UVVs: Identifying Unchanged Vertex Values in Evolving Graphs via Intersection-Union Analysis IEEE International Parallel and Distributed Processing Symposium (IPDPS), May 2026.
  3. Yunmo Zhang, Jiacheng Huang, Xizhe Yin, Junqiao Qiu, Hong Xu, and Chun Jason Xue. PIE: Enabling Fast and Scalable Incremental Evolving Graph Analytics on Persistent Memory ACM International Conference on Supercomputing (ICS), June 2025. [doi]
  4. Xizhe Yin, Chao Gao, Zhijia Zhao, and Rajiv Gupta. PANNS: Enhancing Graph-based Approximate Nearest Neighbor Search through Recency-aware Construction and Parameterized Search ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP), March 2025. [doi]
  5. Xizhe Yin, Zhijia Zhao, and Rajiv Gupta. IncBoost: Scaling Incremental Graph Processing for Edge Deletions and Weight Updates ACM Symposium on Cloud Computing (ACM SoCC), November 2024. [doi]
  6. Xizhe Yin, Zhijia Zhao, and Rajiv Gupta. Glign: Taming Misaligned Graph Traversals in Concurrent Graph Processing 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2023. [doi]
  7. Xiaolin Jiang*, Chengshuo Xu*, Xizhe Yin*, Zhijia Zhao, and Rajiv Gupta. Tripoline: Generalized Incremental Graph Processing via Graph Triangle Inequality Sixteenth European Conference on Computer Systems (EuroSys), 2021. (* co-primary) [doi]
  8. Jeremiah Griffin, Mohsen Lesani, Narges Shadab, and Xizhe Yin. TLC: Temporal Logic of Distributed Components Proceedings of the ACM on Programming Languages, 4(ICFP):1–30, 2020. [doi]
  9. Xizhe Yin, Gary Shen, Xianbin Wang, and Weiming Shen. Mitigating Sensor Differences for Phone-based Human Activity Recognition IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2016.
  10. Xizhe Yin, Xianbin Wang, and Weiming Shen. Incremental Clustering for Human Activity Detection Based on Phone Sensor Data IEEE 20th International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2016.
  11. Xizhe Yin, Weiming Shen, Jagath Samarabandu, Xianbin Wang. Human Activity Detection Based on Multiple Smart Phone Sensors and Machine Learning Algorithms IEEE 19th International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2015.