Haibing Guan
Chair Professor
Works on virtualization and cloud computing, and leads recent work on personalized federated learning (FedALA, FedCP, GPFL) and parallel inference frameworks for deep learning.
Haibing Guan's lab at SJTU works on trustworthy & safe ML and efficient training & inference. 104 papers since 2023, 40 at top venues, mostly DAC and ISCA. Applications close .
At a glance
- papers, 2023–2026
- 27/ year
- at T1 venues
- 38%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 29 papers2026 · T1 12 · collecting
- 29 papers2025 · T1 16
- 22 papers2024 · T1 5
- 24 papers2023 · T1 7
T1 venuesOtherVenues: DAC, ISCA, AAAI, ASPLOS, EuroSys
Research focuspaper titles that use each topic's words
- Efficient training & inference21 papers
- personalized6 papers
- Trustworthy & safe ML0 papers
- recent0 papers
- frameworks0 papers
Paper list
From DBLP.
202629 papers
- IEEE Trans. Consumer Electron.A Distributed Robust Out-of-Distribution Consumer Recommendation System Using Diffusion Model (opens in a new tab)
- ISCA (T1)AQuant: Repurposing CODEC for VLM Acceleration via Adaptive Quantization (opens in a new tab)
- PPoPPBEEMS: Boosting Machine Vision Efficiency via Computation Graph-Based Memory Smoothing (opens in a new tab)
- ACL (T1)Calibrated Speculative Decoding: Frequency-Guided Candidate Selection for Efficient Inference (opens in a new tab)
- ACM Trans. Archit. Code Optim.CELLServe: An SLO-Aware and Cost Efficient LLMs Serving System for Serverless Computing Environments (opens in a new tab)
- ISCA (T1)COSM: A Cooperative Scheduling Framework for Concurrent PIM and CPU Execution on Mobile Devices (opens in a new tab)
- IEEE Internet Things J.DecentFL: A Decentralized Federated Learning System With Multiple Aggregators and Evaluators (opens in a new tab)
- ASPLOS (T1)EARTH: An Efficient MoE Accelerator with Entropy-Aware Speculative Prefetch and Result Reuse (opens in a new tab)
- KDD (T1)Exploring Diffusion Models' Corruption Stage in Few-Shot Fine-tuning and Mitigating with Bayesian Neural Networks (opens in a new tab)
- IWQoSFedCod: An Efficient Coded Communication Protocol for Cross-Silo Federated Learning (opens in a new tab)
- ECCV (T1)FedNASP: Federated Vision-Language Navigation with Adaptive Step-wise Personalization (opens in a new tab)
- IEEE Trans. Parallel Distributed Syst.gPooling: An Elastic GPU Resource Management Framework for On-Demand Virtualization in Shared Accelerator Clusters (opens in a new tab)
202529 papers
- NeurIPS (T1)<tt>STRCMP</tt>: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization (opens in a new tab)
- DAC (T1)ALLMod: Exploring Area-Efficiency of LUT-based Large Number Modular Reduction via Hybrid Workloads (opens in a new tab)
- ASPLOS (T1)ASDR: Exploiting Adaptive Sampling and Data Reuse for CIM-based Instant Neural Rendering (opens in a new tab)
- ACM MMASTER: Adaptive Dynamic Layer-Skipping for Efficient Transformer Inference via Markov Decision Process (opens in a new tab)
- ACM Trans. Archit. Code Optim.Attack and Defense: Enhancing Robustness of Binary Hyper-Dimensional Computing (opens in a new tab)
- DAC (T1)BLOOM: Bit-Slice Framework for DNN Acceleration with Mixed-Precision (opens in a new tab)
- INFOCOM (T1)CoINT2: A Heuristic Coordinator for Responsive Receive-Side Network I/O Virtualization in Overcommitment Cloud (opens in a new tab)
- Euro-ParDesign and Operation of Elastic GPU-Pooling on Campus (opens in a new tab)
- Trans. Recomm. Syst.Efficient Federated Recommender System with Adaptive Model Pruning and Momentum-based Batch Adjustment (opens in a new tab)
- ACM Trans. Archit. Code Optim.Ephemera: Accelerating I/O-Intensive Serverless Workloads with a Harvested In-memory File System (opens in a new tab)
- IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.Exploring Efficient Hardware Accelerator for Learning-Based Image Compression (opens in a new tab)
- IEEE Internet Things J.Federated Learning With Client Clustering Selection and Quality-Aware Model Aggregation (2024) (opens in a new tab)
202422 papers
- TODS (T1)Ad Hoc Transactions through the Looking Glass: An Empirical Study of Application-Level Transactions in Web Applications (opens in a new tab)
- IEEE Trans. Multim.CARE: Cloudified Android With Optimized Rendering Platform (opens in a new tab)
- IEEE Trans. Consumer Electron.cFedDT: Cross-Domain Federated Learning in Digital Twins for Metaverse Consumer Electronic Products (opens in a new tab)
- CVPR (T1)CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion (opens in a new tab)
- USENIX ATCCPC: Flexible, Secure, and Efficient CVM Maintenance with Confidential Procedure Calls (opens in a new tab)
- IEEE Trans. Netw. Sci. Eng.Deep Convolutional Linear Precoder Neural Network for Rate Splitting Strategy of Aerial Computing Networks (opens in a new tab)
- ACM Trans. WebEdge Caching Placement Strategy based on Evolutionary Game for Conversational Information Seeking in Edge Cloud Computing (opens in a new tab)
- IEEE Trans. Netw. Sci. Eng.faaShark: An End-to-End Network Traffic Analysis System Atop Serverless Computing (opens in a new tab)
- IEEE AccessFlowLever: Leverage Flow Director for Packet Dispatch Acceleration in NFV (opens in a new tab)
- USENIX ATCgVulkan: Scalable GPU Pooling for Pixel-Grained Rendering in Ray Tracing (opens in a new tab)
- EuroSys (T1)HD-IOV: SW-HW Co-designed I/O Virtualization with Scalability and Flexibility for Hyper-Density Cloud (opens in a new tab)
- IEEE Trans. Comput. Biol. Bioinform.MCAS-GP: Deep Learning-Empowered Middle Cerebral Artery Segmentation and Gate Proposition (opens in a new tab)
202324 papers
- SIGMOD Rec.Ad Hoc Transactions: What They Are and Why We Should Care (opens in a new tab)
- ICML (T1)Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples (opens in a new tab)
- IEEE Trans. ComputersAn Economy-Oriented GPU Virtualization With Dynamic and Adaptive Oversubscription (opens in a new tab)
- IEEE J. Sel. Areas Commun.Automatic Pipeline Parallelism: A Parallel Inference Framework for Deep Learning Applications in 6G Mobile Communication Systems (opens in a new tab)
- USENIX ATCBifrost: Analysis and Optimization of Network I/O Tax in Confidential Virtual Machines (opens in a new tab)
- NeurIPS (T1)Eliminating Domain Bias for Federated Learning in Representation Space (opens in a new tab)
- AAAI (T1)FedALA: Adaptive Local Aggregation for Personalized Federated Learning (opens in a new tab)
- KDD (T1)FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy (opens in a new tab)
- ACM Trans. Archit. Code Optim.FlexHM: A Practical System for Heterogeneous Memory with Flexible and Efficient Performance Optimizations (opens in a new tab)
- ICCV (T1)GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning (opens in a new tab)
- IEEE Trans. Comput. Soc. Syst.GUARDIAN: A Hardware-Assisted Distributed Framework to Enhance Deep Learning Security (opens in a new tab)
- IEEE Netw.Hierarchical Adaptive Collaborative Learning: A Distributed Learning Framework for Customized Cloud Services in 6G Mobile Systems (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)
- Round
- Self-funded
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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