Haotao Wang
18 papers · 2019–2024 · 6 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (6) π Academic Marathon (5) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (10)
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Cross-Pollinator
(10)
πΊοΈ
Taxonomy Completionist
(30)
π€
Dynamic Duo
(17)
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Triple Crown
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Grand Slam
ποΈ
Keyword Collector
(52)
π
Century Club
(18)
π₯
Unstoppable
(6)
β‘
Prolific Year
(5)
π
Trend Setter
Conferences
ICLR (6)
NIPS (5)
ICML (3)
AAAI (2)
CVPR (1)
ECCV (1)
Top co-authors
Research topics
Keywords
adversarial training
(4)
adversarial robustness
(4)
neural network
(3)
batch normalization
(3)
model compression
(2)
anomaly detection
(1)
neural network security
(1)
contrastive learning
(1)
knowledge distillation
(1)
graph structure
(1)
data augmentation
(1)
graph representation learning
(1)
distributed learning
(1)
image reconstruction
(1)
image translation
(1)
model robustness
(1)
neural architecture search
(1)
network pruning
(1)
ensemble learning
(1)
link prediction
(1)
Papers
Safe and Robust Watermark Injection with a Single OoD Image
ICLR 2024
Turning the Curse of Heterogeneity in Federated Learning into a Blessing for Out-of-Distribution Detection
ICLR 2023
Federated Robustness Propagation: Sharing Adversarial Robustness in Heterogeneous Federated Learning
AAAI 2023
Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling
NIPS 2023
Efficient Split-Mix Federated Learning for On-Demand and In-Situ Customization
ICLR 2022
Removing Batch Normalization Boosts Adversarial Training
ICML 2022
Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition
ICML 2022
Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork
NIPS 2022
AugMax: Adversarial Composition of Random Augmentations for Robust Training
NIPS 2021
UMEC: Unified model and embedding compression for efficient recommendation systems
ICLR 2021
Learning Model-Based Privacy Protection under Budget Constraints
AAAI 2021
Troubleshooting Blind Image Quality Models in the Wild
CVPR 2021
Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference
ICLR 2020
Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free
NIPS 2020
GAN Slimming: All-in-One GAN Compression by A Unified Optimization Framework
ECCV 2020
I Am Going MAD: Maximum Discrepancy Competition for Comparing Classifiers Adaptively
ICLR 2020
AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks
ICML 2020
Model Compression with Adversarial Robustness: A Unified Optimization Framework
NIPS 2019