Hierarchical Superpixel Segmentation via Structural Information Theory.
CoRR, January, 2025
Autonomous delivery vehicle routing problem with drones based on multiple delivery modes.
Comput. Oper. Res., 2025
Medusa: Accelerating Serverless LLM Inference with Materialization.
Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2025
Frugal: Efficient and Economic Embedding Model Training with Commodity GPUs.
Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2025
MaxEmbed: Maximizing SSD bandwidth utilization for huge embedding models serving.
Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024
PetPS: Supporting Huge Embedding Models with Persistent Memory.
Proc. VLDB Endow., 2023
Ecd-Yolo: A Lightweight Vehicle Detection Framework Based on Improved Yolov7 for Adverse Weather Conditions.
Proceedings of the 6th IEEE International Conference on Information Systems and Computer Aided Educatio, 2023
Patronus: High-Performance and Protective Remote Memory.
Proceedings of the 21st USENIX Conference on File and Storage Technologies, 2023
Citron: Distributed Range Lock Management with One-sided RDMA.
Proceedings of the 21st USENIX Conference on File and Storage Technologies, 2023
Mobius: Fine Tuning Large-Scale Models on Commodity GPU Servers.
Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023
Nap: Persistent Memory Indexes for NUMA Architectures.
ACM Trans. Storage, 2022
Pacman: An Efficient Compaction Approach for Log-Structured Key-Value Store on Persistent Memory.
Proceedings of the 2022 USENIX Annual Technical Conference, 2022
Fleche: an efficient GPU embedding cache for personalized recommendations.
Proceedings of the EuroSys '22: Seventeenth European Conference on Computer Systems, Rennes, France, April 5, 2022
Are We There Yet? A Review on Existing Perceptual Theory and Experiment Support for Visualization Recommendation Systems.
CoRR, 2021
Kraken: memory-efficient continual learning for large-scale real-time recommendations.
Proceedings of the International Conference for High Performance Computing, 2020
Common coupling and pointer variables, with application to a Linux case study.
Softw. Qual. J., 2007
Fine-grain analysis of common coupling and its application to a Linux case study.
J. Syst. Softw., 2007
Interface design for a modern software ticketing system.
Proceedings of the 42nd Annual Southeast Regional Conference, 2004