Towards Scalable and Reliable In-Memory Storage System: A Case Study with Redis. - Shanshan Chen; Xiaoxin Tang; Hongwei Wang 004; Han Zhao 005; Minyi Guo (Trustcom/BigDataSE/ISPA, 2016)

Online Credit Card Fraud Detection: A Hybrid Framework with Big Data Technologies. - You Dai; Jin Yan; Xiaoxin Tang; Han Zhao 005; Minyi Guo (Trustcom/BigDataSE/ISPA, 2016)

Bandwidth and Locality Aware Task-stealing for Manycore Architectures with Bandwidth-Asymmetric Memory. - Han Zhao 005; Quan Chen 002; Yuxian Qiu; Ming Wu 007; Yao Shen; Jingwen Leng; Chao Li 009; Minyi Guo (ACM Trans. Archit. Code Optim., 2019)

CODA: Improving Resource Utilization by Slimming and Co-locating DNN and CPU Jobs. - Han Zhao 005; Weihao Cui; Quan Chen 002; Jingwen Leng; Kai Yu 004; Deze Zeng; Chao Li 009; Minyi Guo (ICDCS, 2020)

Exploiting Intra-SM Parallelism in GPUs via Persistent and Elastic Blocks. - Han Zhao 005; Weihao Cui; Quan Chen 002; Jieru Zhao; Jingwen Leng; Minyi Guo (ICCD, 2021)

Enable simultaneous DNN services based on deterministic operator overlap and precise latency prediction. - Weihao Cui; Han Zhao 005; Quan Chen 002; Ningxin Zheng; Jingwen Leng; Jieru Zhao; Zhuo Song; Tao Ma 006; Yong Yang; Chao Li 009; Minyi Guo (SC, 2021)

E2bird: Enhanced Elastic Batch for Improving Responsiveness and Throughput of Deep Learning Services. - Weihao Cui; Quan Chen 002; Han Zhao 005; Mengze Wei; Xiaoxin Tang; Minyi Guo (IEEE Trans. Parallel Distributed Syst., 2021)

Tacker: Tensor-CUDA Core Kernel Fusion for Improving the GPU Utilization while Ensuring QoS. - Han Zhao 005; Weihao Cui; Quan Chen 002; Youtao Zhang; Yanchao Lu; Chao Li 009; Jingwen Leng; Minyi Guo (HPCA, 2022)

DVABatch: Diversity-aware Multi-Entry Multi-Exit Batching for Efficient Processing of DNN Services on GPUs. - Weihao Cui; Han Zhao 005; Quan Chen 002; Hao Wei; Zirui Li; Deze Zeng; Chao Li 009; Minyi Guo (USENIX ATC, 2022)

Maximizing the Utilization of GPUs Used by Cloud Gaming through Adaptive Co-location with Combo. - Binghao Chen; Han Zhao 005; Weihao Cui; Yifu He; Shulai Zhang; Quan Chen 002; Zijun Li 001; Minyi Guo (SoCC, 2023)

ISPA: Exploiting Intra-SM Parallelism in GPUs via Fine-Grained Resource Management. - Han Zhao 005; Weihao Cui; Quan Chen 002; Minyi Guo (IEEE Trans. Computers, 2023)

Improving Cluster Utilization Through Adaptive Resource Management for Deep Neural Network and CPU Jobs Colocation. - Han Zhao 005; Weihao Cui; Quan Chen 002; Jingwen Leng; Deze Zeng; Minyi Guo (IEEE Trans. Computers, 2023)

FaaSMem: Improving Memory Efficiency of Serverless Computing with Memory Pool Architecture. - Chuhao Xu; Yiyu Liu; Zijun Li 001; Quan Chen 002; Han Zhao 005; Deze Zeng; Qian Peng; Xueqi Wu; Haifeng Zhao; Senbo Fu; Minyi Guo (ASPLOS (3), 2024)

A Codesign of Scheduling and Parallelization for Large Model Training in Heterogeneous Clusters. - Chunyu Xue; Weihao Cui; Han Zhao 005; Quan Chen 002; Shulai Zhang; Pengyu Yang; Jing Yang 017; Shaobo Li 001; Minyi Guo (CoRR, 2024)

Towards Fast Setup and High Throughput of GPU Serverless Computing. - Han Zhao 005; Weihao Cui; Quan Chen 002; Shulai Zhang; Zijun Li 001; Jingwen Leng; Chao Li 009; Deze Zeng; Minyi Guo (CoRR, 2024)

Potamoi: Accelerating Neural Rendering via a Unified Streaming Architecture. - Yu Feng 007; Weikai Lin; Zihan Liu 002; Jingwen Leng; Minyi Guo; Han Zhao 005; Xiaofeng Hou; Jieru Zhao; Yuhao Zhu 001 (ACM Trans. Archit. Code Optim., 2024)

Improving GPU Sharing Performance through Adaptive Bubbleless Spatial-Temporal Sharing. - Shulai Zhang; Quan Chen 002; Weihao Cui; Han Zhao 005; Chunyu Xue; Zhen Zheng; Wei Lin 016; Minyi Guo (EuroSys, 2025)

Efficient Performance-Aware GPU Sharing with Compatibility and Isolation through Kernel Space Interception. - Shulai Zhang; Ao Xu; Quan Chen 002; Han Zhao 005; Weihao Cui; Zhen Wang; Yan Li; Limin Xiao; Minyi Guo (USENIX ATC, 2025)

XPUTimer: Anomaly Diagnostics for Divergent LLM Training in GPU Clusters of Thousand-Plus Scale. - Weihao Cui; Ji Zhang 001; Han Zhao 005; Chao Liu 037; Wenhao Zhang; Jian Sha; Quan Chen 002; Bingsheng He; Minyi Guo (CoRR, 2025)

Adaptive Kernel Fusion for Improving the GPU Utilization While Ensuring QoS. - Han Zhao 005; Junxiao Deng; Weihao Cui; Quan Chen 002; Youtao Zhang; Deze Zeng; Minyi Guo (IEEE Trans. Computers, 2025)

Efficient Function-as-a-Service for Large Language Models with TIDAL. - Weihao Cui; Ziyi Xu; Han Zhao 005; Quan Chen 002; Zijun Li 001; Bingsheng He; Minyi Guo (CoRR, 2025)

Taming Flexible Job Packing in Deep Learning Training Clusters. - Pengyu Yang; Weihao Cui; Chunyu Xue; Han Zhao 005; Chen Chen 067; Quan Chen 002; Jing Yang 017; Minyi Guo (ACM Trans. Archit. Code Optim., 2025)

Optimizing SLO-oriented LLM Serving with PD-Multiplexing. - Weihao Cui; Yukang Chen; Han Zhao 005; Ziyi Xu; Quan Chen 002; Xusheng Chen; Yangjie Zhou 001; Shixuan Sun; Minyi Guo (CoRR, 2025)

FLAPS: fluctuation-aware power auction strategy for reducing the power overload probability. - Xiaoqing Cai; Han Zhao 005; Xiaofeng Hou; Weihao Cui; Quan Chen 002; Chao Li 009; Minyi Guo (Frontiers Comput. Sci., 2025)

ARACHNE: Optimizing Distributed Parallel Applications with Reduced Inter-Process Communication. - Yifu He; Han Zhao 005; Weihao Cui; Shulai Zhang; Quan Chen 002; Minyi Guo (ACM Trans. Archit. Code Optim., 2025)

LLM-Mesh: Enabling Elastic Sharing for Serverless LLM Inference. - Chuhao Xu; Zijun Li 001; Quan Chen 002; Han Zhao 005; Minyi Guo (CoRR, 2025)