Hui Lu
Associate Professor
Computer Science and Engineering
The University of Texas at Arlington
Email: hui.lu@uta.edu Curriculum vitae Google Scholar LinkedIn
I am an Associate Professor of Computer Science and Engineering at the University of Texas at Arlington. Before joining UTA, I was an Assistant Professor at the State University of New York at Binghamton. I received my Ph.D. from Purdue University, where I worked in the FRIENDS Lab under the direction of Professor Dongyan Xu.
My research focuses on making cloud and AI infrastructure faster, safer, and more efficient. My interests span operating systems, systems virtualization, memory and storage systems, and computer networks. Recent work explores lightweight secure containers, transparent memory tiering across DRAM, CXL, and accelerators, high-throughput networking, and systems support for large-scale model training and inference. I am the recipient of an NSF CAREER Award (2023). Much of my work is motivated by real deployment needs and carried out in collaboration with industry partners.
Prospective students: Motivated students interested in systems research are welcome to contact me at hui.lu@uta.edu.
Selected Publications
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SPIRIT: Speed-Driven Online Adaptation for Self-Speculative Decoding
To appear at Conference on Neural Information Processing Systems (NeurIPS 2026)
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Courier: Host-Transparent Direct Network I/O for Secure Containers in Cloud VMs
To appear at ACM SIGOPS Annual Technical Conference (SIGOPS ATC 2026)
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Quantifying the Cost of Software-Managed Synchronization on Multi-Host CXL Memory
To appear at The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC 2026)
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vBOIDs: Taming Chaos via Coarse-Grained Scheduling Abstraction for Containers
20th USENIX Symposium on Operating Systems Design and Implementation (OSDI 2026)
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JANUS: Cross-World, Cooperative Nested Virtualization for Secure Containers
20th USENIX Symposium on Operating Systems Design and Implementation (OSDI 2026)
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Scaling Attention Beyond GPUs for LLM Inference
35th International Symposium on High-Performance Parallel and Distributed Computing (HPDC 2026)
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AEP: Achieving Hierarchical Fault Tolerance in DSM Through Atomic Execution Protection
21st European Conference on Computer Systems (EuroSys 2026)
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DLRover-LM: LLM Pre-Training Framework with Thousands of Accelerators in AntGroup
42nd IEEE International Conference on Data Engineering (ICDE 2026)
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LiteShield: Secure Containers via Lightweight, Composable Userspace μKernel Services
USENIX Annual Technical Conference (USENIX ATC 2025)
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DSA-2LM: A CPU-Free Tiered Memory Architecture with Intel DSA
USENIX Annual Technical Conference (USENIX ATC 2025)
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mLoRA: Fine-Tuning LoRA Adapters via Highly-Efficient Pipeline Parallelism in Multiple GPUs
Proceedings of the VLDB Endowment (VLDB 2025)
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DLRover-RM: Resource Optimization for Deep Recommendation Models Training in Cloud
Proceedings of the VLDB Endowment (VLDB 2024)
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Nomad: Non-Exclusive Memory Tiering via Transactional Page Migration
USENIX Symposium on Operating Systems Design and Implementation (OSDI 2024)
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PVM: Efficient Shadow Paging for Deploying Secure Containers in Cloud-native Environments
ACM Symposium on Operating Systems Principles (SOSP 2023)
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P2Cache: Exploring Tiered Memory for In-Kernel File Systems Caching
USENIX Annual Technical Conference (USENIX ATC 2023)
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Parallelizing Packet Processing in Container Overlay Networks
European Conference on Computer Systems (EuroSys 2021)
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PLASMA: Programmable Elasticity for Stateful Cloud Computing Applications
European Conference on Computer Systems (EuroSys 2020)
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BAOverlay: A Block-Accessible Overlay File System for Fast and Efficient Container Storage
ACM Symposium on Cloud Computing (SoCC 2020)
Sponsored Projects
National Science Foundation (NSF)
- User-transparent Data Management for Persistence and Crash-consistency in Non-volatile Memories (2023–2027)
- Rethinking Virtualization in Cloud-Native Systems (2023–2028)
- Salvaging Commodity Operating Systems to Support Emerging Networking Technologies (2019–2023)
Air Force Research Laboratory (AFRL)
- Enabling Lightweight, Assured Secure Containers for Container-based Orchestration Platforms (2024–2028)
Teaching
- CSE 5359/6359: Advanced Topics in Systems & Architecture
Fall 2026, Fall 2025, Fall 2024 - CSE 3320: Operating Systems
Fall 2025, Fall 2024, Fall 2023 - CSE 4372/5372: RISC Processor Design
Spring 2027, Spring 2024
Students
Current Ph.D. Students
- Yan Wang (since Fall 2025)
- Yang Song (since Fall 2025)
- Chenfei Liao (since Fall 2024)
- Chengbo Zhan (since Fall 2024)
- Kaesi Manakkal (since Fall 2023)
Alumni
- Yu Sun, Ph.D. 2025; Broadcom Inc
- Zhen Lin, Ph.D. 2025; Software Engineer, ByteDance
- Jiaxin Lei, Ph.D. 2024; Assistant Professor, Kean University