Minyi Guo
Chair Professor
Works on parallel and cloud computing and compilers, with recent work on accelerating LLMs through hardware-friendly quantization (OliVe) and deep learning systems for retinal-image diagnosis.
Minyi Guo's lab at SJTU works on efficient training & inference and distributed, cloud & edge systems. 217 papers since 2023, 74 at top venues, mostly ASPLOS and HPCA. Applications close .
At a glance
- papers, 2023–2026
- 57/ year
- at T1 venues
- 34%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 61 papers2026 · T1 27 · collecting
- 70 papers2025 · T1 23
- 48 papers2024 · T1 13
- 38 papers2023 · T1 11
T1 venuesOtherVenues: ASPLOS, HPCA, ISCA, CVPR, DAC
Research focuspaper titles that use each topic's words
- Efficient training & inference72 papers
- Distributed, cloud & edge systems42 papers
- quantization3 papers
- cloud computing1 paper
- recent0 papers
Paper list
From DBLP.
202661 papers
- IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.A Full-Stack Framework for GNN Acceleration via Partition-Compiler-Architecture Co-Design (opens in a new tab)
- ACM Comput. Surv.A Survey on Inference Optimization Techniques for Mixture of Experts Models (opens in a new tab)
- ISCA (T1)Accelerating MoE with Dynamic In-Switch Computing on Multi-GPUs (opens in a new tab)
- ICPPAethon: Performance-aware Memory Offloading for Co-running Applications in Public Clouds (opens in a new tab)
- EuroSys (T1)Arena: Efficiently Training Large Models via Dynamic Scheduling and Adaptive Parallelism Co-Design (opens in a new tab)
- ICLR (T1)Astraea: A Token-wise Acceleration Framework for Video Diffusion Transformers (opens in a new tab)
- HPCA (T1)AUM: Unleashing the Efficiency Potential of Shared Processors with Accelerator Units for LLM Serving (opens in a new tab)
- IEEE Trans. Mob. Comput.Boosting Gradient-Based Training Diagnosis for Efficient and Accurate Federated Learning (opens in a new tab)
- FASTCacheSlide: Unlocking Cross Position-Aware KV Cache Reuse for Accelerating LLM Serving (opens in a new tab)
- HPCA (T1)CLINE: Improving Control Flow Compilation of Quantum Programs with Control Line Encoding (opens in a new tab)
- ISCA (T1)CODO: An Automated Compiler for Comprehensive Dataflow Optimization (opens in a new tab)
- ACL (T1)CuBridge: An LLM-Based Framework for Understanding and Reconstructing High-Performance Attention Kernels (opens in a new tab)
202570 papers
- IEEE Trans. Mob. Comput.A Scene-Aware Model Adaptation Scheme for Cross-Scene Online Inference on Mobile Devices (opens in a new tab)
- APPTAccelerating Large-Scale Out-of-GPU-Core GNN Training with Two-Level Historical Caching (opens in a new tab)
- IEEE Trans. ComputersAdaptive Kernel Fusion for Improving the GPU Utilization While Ensuring QoS (opens in a new tab)
- ICML (T1)An Efficient Private GPT Never Autoregressively Decodes (opens in a new tab)
- ACM Trans. Archit. Code Optim.ARACHNE: Optimizing Distributed Parallel Applications with Reduced Inter-Process Communication (opens in a new tab)
- APPTAsymServe: Demystifying and Optimizing LLM Serving Efficiency on CPU Acceleration Units (opens in a new tab)
- Frontiers Comput. Sci.BAFT: bubble-aware fault-tolerant framework for distributed DNN training with hybrid parallelism (opens in a new tab)
- Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.BlinkBud: Detecting Hazards from Behind via Sampled Monocular 3D Detection on a Single Earbud (opens in a new tab)
- NPCCGO: Cloud Game Orchestration via Resource Preception and CODEC Optimization (opens in a new tab)
- NeurIPS (T1)ClusterFusion: Expanding Operator Fusion Scope for LLM Inference via Cluster-Level Collective Primitive (opens in a new tab)
- DAC (T1)ClusterKV: Manipulating LLM KV Cache in Semantic Space for Recallable Compression (opens in a new tab)
- APPTComber: QoS-Aware and Efficient Deployment for Co-located Microservices and Best-Effort Tasks in Disaggregated Datacenters (opens in a new tab)
202448 papers
- ISCA (T1)A Tale of Two Domains: Exploring Efficient Architecture Design for Truly Autonomous Things (opens in a new tab)
- ACM Trans. Archit. Code Optim.A2: Towards Accelerator Level Parallelism for Autonomous Micromobility Systems (opens in a new tab)
- IEEE Trans. ComputersAccelerating Sparse DNNs Based on Tiled GEMM (opens in a new tab)
- IEEE Trans. ComputersAda-WL: An Adaptive Wear-Leveling Aware Data Migration Approach for Flexible SSD Array Scaling in Clusters (opens in a new tab)
- IEEE Trans. Parallel Distributed Syst.Adaptive QoS-Aware Microservice Deployment With Excessive Loads via Intra- and Inter-Datacenter Scheduling (opens in a new tab)
- ASPLOS (T1)Amanda: Unified Instrumentation Framework for Deep Neural Networks (opens in a new tab)
- HPCA (T1)An Optimizing Framework on MLIR for Efficient FPGA-based Accelerator Generation (opens in a new tab)
- ICDCSAnole: Adapting Diverse Compressed Models for Cross-Scene Prediction on Mobile Devices (opens in a new tab)
- IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.Automatic Mapping of Heterogeneous DNN Models on Adaptive Multiaccelerator Systems (opens in a new tab)
- ICCDAutoVCoder: A Systematic Framework for Automated Verilog Code Generation using LLMs (opens in a new tab)
- IEEE Trans. Parallel Distributed Syst.Bayesian-Driven Automated Scaling in Stream Computing With Multiple QoS Targets (opens in a new tab)
- SCBoosting Data Center Performance via Intelligently Managed Multi-backend Disaggregated Memory (opens in a new tab)
202338 papers
- CFAdaptGear: Accelerating GNN Training via Adaptive Subgraph-Level Kernels on GPUs (opens in a new tab)
- IJCAI (T1)APR: Online Distant Point Cloud Registration through Aggregated Point Cloud Reconstruction (opens in a new tab)
- ISCA (T1)Architecting Efficient Multi-modal AIoT Systems (opens in a new tab)
- VLDB (T1)Async-fork: Mitigating Query Latency Spikes Incurred by the Fork-based Snapshot Mechanism from the OS Level (opens in a new tab)
- SCBLAD: Adaptive Load Balanced Scheduling and Operator Overlap Pipeline For Accelerating The Dynamic GNN Training (opens in a new tab)
- IEEE/ACM Trans. Netw.Cost-Effective Traffic Scheduling and Resource Allocation for Edge Service Provisioning (opens in a new tab)
- ASPLOS (T1)DataFlower: Exploiting the Data-flow Paradigm for Serverless Workflow Orchestration (opens in a new tab)
- ICCV (T1)Density-invariant Features for Distant Point Cloud Registration (opens in a new tab)
- CFDistSim: A performance model of large-scale hybrid distributed DNN training (opens in a new tab)
- ICPADSDW-LRC: A Dynamic Wide-stripe LRC Codes for Blockchain Data Under Malicious Node Scenarios (opens in a new tab)
- ASPLOS (T1)Efficient Scheduler Live Update for Linux Kernel with Modularization (opens in a new tab)
- IEEE Trans. ComputersEnabling Efficient Spatio-Temporal GPU Sharing for Network Function Virtualization (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to SJTUFall 2027
Computer Science PhD (international applicants)
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- Self-funded
- Opens
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