Yitao Hu

According to our database, Yitao Hu authored at least 30 papers between 2014 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

ViDA: Lossless VideoQA Acceleration via Selective Sparse Self-Speculation With Parallel Computational Load Management.

Liang Zheng, Yitao Hu, Chen Shen, Zhixin Zhao, Bowen Shi, Yuhao Zhang, Laiping Zhao, Wenxin Li, Keqiu Li

IEEE Trans. Parallel Distributed Syst., June, 2026

AESOP: Adversarial Execution-path Selection to Overload Deep Learning Pipelines.

Tingxi Li, Mingfang Ji, Ravishka Rathnasuriya, Simin Chen, Yitao Hu, Wei Yang

CoRR, May, 2026

Accelerating ML Inference via Opportunistic Pre-Loading on Serverless Clusters.

Yifan Sui, Hanfei Yu, Yitao Hu, Jianxun Li, Hao Wang

IEEE Trans. Parallel Distributed Syst., February, 2026

Mosaic: Unlocking Long-Context Inference for Diffusion LLMs via Global Memory Planning and Dynamic Peak Taming.

Liang Zheng, Bowen Shi, Yitao Hu, Jiawei Zhang, Ruofan Li, Sheng Chen, Wenxin Li, Keqiu Li

CoRR, January, 2026

PARD: Enhancing Goodput for Inference Pipeline via Proactive Request Dropping.

Zhixin Zhao, Yitao Hu, Simin Chen, Mingfang Ji, Wei Yang, Yuhao Zhang, Laiping Zhao, Wenxin Li, Xiulong Liu, Wenyu Qu, Hao Wang

Proceedings of the 21st European Conference on Computer Systems, 2026

PAT: Accelerating LLM Decoding via Prefix-Aware Attention with Resource Efficient Multi-Tile Kernel.

Jinjun Yi, Zhixin Zhao, Yitao Hu, Ke Yan, Weiwei Sun, Hao Wang, Laiping Zhao, Yuhao Zhang, Wenxin Li, Keqiu Li

Proceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2026

2025

KernelBand: Boosting LLM-based Kernel Optimization with a Hierarchical and Hardware-aware Multi-armed Bandit.

Dezhi Ran, Shuxiao Xie, Mingfang Ji, Ziyue Hua, Mengzhou Wu, Yuan Cao, Yuzhe Guo, Hao Yu, Linyi Li, Yitao Hu, Tao Xie

CoRR, November, 2025

RAGPulse: An Open-Source RAG Workload Trace to Optimize RAG Serving Systems.

Zhengchao Wang, Yitao Hu, Jianing Ye, Zhuxuan Chang, Jiazheng Yu, Youpeng Deng, Keqiu Li

CoRR, November, 2025

TightLLM: Maximizing Throughput for LLM Inference via Adaptive Offloading Policy.

Yitao Hu, Xiulong Liu, Guotao Yang, Linxuan Li, Kai Zeng, Zhixin Zhao, Sheng Chen, Laiping Zhao, Wenxin Li, Keqiu Li

IEEE Trans. Computers, July, 2025

ServerlessLoRA: Minimizing Latency and Cost in Serverless Inference for LoRA-Based LLMs.

Yifan Sui, Hao Wang, Hanfei Yu, Yitao Hu, Jianxun Li, Hao Wang

CoRR, May, 2025

SLOpt: Serving Real-Time Inference Pipeline With Strict Latency Constraint.

Zhixin Zhao, Yitao Hu, Guotao Yang, Ziqi Gong, Chen Shen, Laiping Zhao, Wenxin Li, Xiulong Liu, Wenyu Qu

IEEE Trans. Computers, April, 2025

Harpagon: Minimizing DNN Serving Cost via Efficient Dispatching, Scheduling and Splitting.

Zhixin Zhao, Yitao Hu, Ziqi Gong, Guotao Yang, Wenxin Li, Xiulong Liu, Keqiu Li, Hao Wang

Proceedings of the IEEE INFOCOM 2025, 2025

Lark: A Buffer-aware Building Block for Programmable Packet Scheduling in Datacenters.

Song Zhang, Wenxin Li, Yulong Li, Yuan Liu, Lide Suo, Sheng Chen, Yitao Hu, Laiping Zhao, Keqiu Li

Proceedings of the IEEE INFOCOM 2025, 2025

MoEoM: Joint Compute and Memory-Aware Balancing for Fast MoE Inference.

Ziqi Gong, Yitao Hu, Sheng Chen, Wenxin Li, Keqiu Li

Proceedings of the 31th IEEE International Conference on Parallel and Distributed Systems, 2025

2024

An API Recommendation Method for Querying Mobile Computing Problems.

Wanzhi Wen, Bin Zhang, Yitao Hu, Xingyu Zhu, Zelin Wang

Int. J. Cogn. Informatics Nat. Intell., 2024

Skill-Adpative Imitation Learning for UI Test Reuse.

Mengzhou Wu, Hao Wang, Jun Ren, Yuan Cao, Yuetong Li, Alex Jiang, Dezhi Ran, Yitao Hu, Wei Yang, Tao Xie

CoRR, 2024

PPT: A Pragmatic Transport for Datacenters.

Lide Suo, Yiren Pang, Wenxin Li, Renjie Pei, Keqiu Li, Xiulong Liu, Xin He, Yitao Hu, Guyue Liu

Proceedings of the ACM SIGCOMM 2024 Conference, 2024

Pre-Warming is Not Enough: Accelerating Serverless Inference With Opportunistic Pre-Loading.

Yifan Sui, Hanfei Yu, Yitao Hu, Jianxun Li, Hao Wang

Proceedings of the 2024 ACM Symposium on Cloud Computing, 2024

FUYAO: DPU-enabled Direct Data Transfer for Serverless Computing.

Guowei Liu, Laiping Zhao, Yiming Li, Zhaolin Duan, Sheng Chen, Yitao Hu, Zhiyuan Su, Wenyu Qu

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

Accelerating Data Delivery of Latency-Sensitive Applications in Container Overlay Network.

Hao Liu, Wenxin Li, Yiren Pang, Renjie Pei, Yitao Hu, Yuan Liu, Lide Suo, Keqiu Li

IEEE Trans. Parallel Distributed Syst., December, 2023

High-throughput Sampling, Communicating and Training for Reinforcement Learning Systems.

Laiping Zhao, Xinan Dai, Zhixin Zhao, Yusong Xin, Yitao Hu, Jun Qian, Jun Yao, Keqiu Li

Proceedings of the 31st IEEE/ACM International Symposium on Quality of Service, 2023

DeepLat: Achieving Minimum Worst Case Latency for DNN Inference with Batch-Aware Dispatching.

Jiaheng Gao, Yitao Hu

Proceedings of the Algorithms and Architectures for Parallel Processing, 2023

2021

API Recommendation Based on WII-WMD.

Wanzhi Wen, Shiqiang Wang, Bingqing Ye, Xingyu Zhu, Yitao Hu, Xiaohong Lu, Bin Zhang

Int. J. Cogn. Informatics Nat. Intell., 2021

Rim: Offloading Inference to the Edge.

Yitao Hu, Weiwu Pang, Xiaochen Liu, Rajrup Ghosh, Bongjun Ko, Wei-Han Lee, Ramesh Govindan

Proceedings of the IoTDI '21: International Conference on Internet-of-Things Design and Implementation, 2021

Scrooge: A Cost-Effective Deep Learning Inference System.

Yitao Hu, Rajrup Ghosh, Ramesh Govindan

Proceedings of the SoCC '21: ACM Symposium on Cloud Computing, 2021

2018

Case studies and comparison between two models for assessing library service quality.

Qingkui Xi, Heng Zhao, Yitao Hu, Yunjuan Tong, Ping Bao

Electron. Libr., 2018

Olympian: Scheduling GPU Usage in a Deep Neural Network Model Serving System.

Yitao Hu, Swati Rallapalli, Bongjun Ko, Ramesh Govindan

Proceedings of the 19th International Middleware Conference, 2018

2016

ALPS: accurate landmark positioning at city scales.

Yitao Hu, Xiaochen Liu, Suman Nath, Ramesh Govindan

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016

2015

Data Acquisition for Real-Time Decision-Making under Freshness Constraints.

Shaohan Hu, Shuochao Yao, Haiming Jin, Yiran Zhao, Yitao Hu, Xiaochen Liu, Nooreddin Naghibolhosseini, Shen Li, Akash Kapoor, William Dron, Lu Su, Amotz Bar-Noy, Pedro A. Szekely, Ramesh Govindan, Reginald L. Hobbs, Tarek F. Abdelzaher

Proceedings of the 2015 IEEE Real-Time Systems Symposium, 2015

2014

Critical sensing range for mobile heterogeneous camera sensor networks.

Yitao Hu, Xinbing Wang, Xiaoying Gan

Proceedings of the 2014 IEEE Conference on Computer Communications, 2014