Hongjun Wang
14 papers · 2018–2026 · 5 conferences · across top CS/AI conferences
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Conferences
CVPR (4)
ICLR (4)
AAAI (3)
IJCAI (2)
ICCV (1)
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Keywords
attention mechanism
(2)
graph neural network
(2)
image super-resolution
(2)
post-training quantization
(1)
transfer learning
(1)
density estimation
(1)
domain generalization
(1)
graph modeling
(1)
graph representation learning
(1)
person re-identification
(1)
adversarial training
(1)
deep learning
(1)
neural network optimization
(1)
computational efficiency
(1)
message passing
(1)
curriculum learning
(1)
representation learning
(1)
adversarial attack
(1)
state-space model
(1)
causal inference
(1)
Papers
HarmoQ: Harmonized Post-Training Quantization for High-Fidelity Image Super-Resolution
AAAI 2026
Resilience Inference for Supply Chains with Hypergraph Neural Network
AAAI 2026
HiLo: A Learning Framework for Generalized Category Discovery Robust to Domain Shifts
ICLR 2025
Random Is All You Need: Random Noise Injection on Feature Statistics for Generalizable Deep Image Denoising
ICLR 2025
Parallel Sequence Modeling via Generalized Spatial Propagation Network
CVPR 2025
Not All Degradations Are Equal: A Targeted Feature Denoising Framework for Generalizable Image Super-Resolution
ICCV 2025
SPTNet: An Efficient Alternative Framework for Generalized Category Discovery with Spatial Prompt Tuning
ICLR 2024
Navigating Beyond Dropout: An Intriguing Solution towards Generalizable Image Super Resolution
CVPR 2024
Easy Begun Is Half Done: Spatial-Temporal Graph Modeling with ST-Curriculum Dropout
AAAI 2023
Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention
IJCAI 2023
Generalist: Decoupling Natural and Robust Generalization
CVPR 2023
Self-ensemble Adversarial Training for Improved Robustness
ICLR 2022
Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking
CVPR 2020
Crowd Counting using Deep Recurrent Spatial-Aware Network
IJCAI 2018