Haibing Guan
24 papers · 2019–2026 · 11 venues · across top CS/AI venues
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Achievements
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(15)
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Keyword Champion
(2)
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Renaissance Researcher
(5)
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Century Club Β· Bronze
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Keyword Collector
(122)
Venues
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Research topics
Machine Learning
(14)
Artificial Intelligence
(13)
Core AI
(9)
Learning Types
(9)
Deep Learning
(6)
Application Areas
(6)
Computer Vision
(5)
Learning Paradigms
(4)
Optimization & Theory
(4)
Models
(3)
Processing
(3)
Computer Science
(2)
Natural Language Processing
(2)
Security & Privacy
(2)
Bayesian & Probabilistic
(2)
Keywords
federated learning
(4)
diffusion model
(2)
copyright protection
(2)
virtual machine
(2)
adversarial learning
(2)
epistemic uncertainty
(2)
model personalization
(2)
personalized federated learning
(2)
live migration
(2)
large language model
(2)
bayesian neural network
(2)
uncertainty quantification
(2)
self-supervised learning
(1)
adversarial robustness
(1)
causal discovery
(1)
model quantization
(1)
parameter estimation
(1)
distributed learning
(1)
feature extraction
(1)
image classification
(1)
Papers
ADAngel: Accelerating Arbitrary-Precision Quantized LLMs with Adaptive Computing Mapping
OSDI 2026
Calibrated Speculative Decoding: Frequency-Guided Candidate Selection for Efficient Inference
ACL 2026
M3U: Scalable Kernel Memory Management for Efficient Post-Copy Live Migration of High-End Virtual Machines
OSDI 2026
Poisoning with a Pill: Circumventing Detection in Federated Learning
AAAI 2026
SpecQuant: Spectral Decomposition and Adaptive Truncation for Ultra-Low-Bit LLMs Quantization
AAAI 2026
What Are You (M)Waiting For: The Hidden Cost of Idle in the Hyperscale Cloud (Operational Systems)
OSDI 2026
FlexQuant: A Flexible and Efficient Dynamic Precision Switching Framework for LLM Quantization
EMNLP 2025
Learning Identifiable Structures Helps Avoid Bias in DNN-based Supervised Causal Learning
AISTATS 2025
Stealthy Backdoor Attack in Federated Learning via Adaptive Layer-wise Gradient Alignment
ICCV 2025
CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion
CVPR 2024
SkyMask: Attack-agnostic Robust Federated Learning with Fine-grained Learnable Masks
ECCV 2024
Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples
ICML 2023
Eliminating Domain Bias for Federated Learning in Representation Space
NeurIPS 2023
FedALA: Adaptive Local Aggregation for Personalized Federated Learning
AAAI 2023
GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning
ICCV 2023
Security and Performance in the Delegated User-level Virtualization
OSDI 2023
Improving Bayesian Neural Networks by Adversarial Sampling
AAAI 2022
Robust Bayesian Neural Networks by Spectral Expectation Bound Regularization
CVPR 2021
Self-Supervised Vessel Segmentation via Adversarial Learning
ICCV 2021
Themis: A Fair Evaluation Platform for Computer Vision Competitions
IJCAI 2021
Dual Adversarial Network for Deep Active Learning
ECCV 2020
FTL: A universal framework for training low-bit DNNs via Feature Transfer
ECCV 2020
Reinforcing Neural Network Stability with Attractor Dynamics
AAAI 2020
Object Guided External Memory Network for Video Object Detection
ICCV 2019