Wenjia Wang
33 papers · 2019–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Renaissance Researcher (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (14) π Conference Polyglot (10)
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Keyword Pioneer
π
Cross-Pollinator
(8)
π
Conference Polyglot
(10)
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Triple Crown
π₯
Unstoppable
(8)
π
Century Club
(33)
ποΈ
Keyword Collector
(131)
β‘
Prolific Year
(5)
Conferences
NIPS (6)
ICLR (5)
ECCV (4)
IJCAI (4)
ICCV (3)
JMLR (3)
AISTATS (2)
CVPR (2)
ICML (2)
WACV (2)
Top co-authors
Research topics
Keywords
3d reconstruction
(3)
reproducing kernel hilbert space
(2)
gaussian process
(2)
kernel methods
(2)
overparametrized neural network
(2)
kernel ridge regression
(2)
convergence rate
(2)
diffusion model
(2)
novel view synthesis
(2)
image segmentation
(2)
neural tangent kernel
(2)
neural network
(2)
human-scene interaction
(2)
offline reinforcement learning
(2)
representation learning
(2)
uncertainty quantification
(2)
few-shot learning
(1)
contrastive learning
(1)
multi-task learning
(1)
vision transformer
(1)
Papers
SceneShine: Illumination-aware Human Scene Gaussian Re-Splatting from Mobile Device Video
WACV 2026
SIMS: Simulating Stylized Human-Scene Interactions with Retrieval-Augmented Script Generation
ICCV 2025
TokenHSI: Unified Synthesis of Physical Human-Scene Interactions through Task Tokenization
CVPR 2025
AugKD: Ingenious Augmentations Empower Knowledge Distillation for Image Super-Resolution
ICLR 2025
Knowledge Distillation with Multi-granularity Mixture of Priors for Image Super-Resolution
ICLR 2025
Diffusion Actor-Critic: Formulating Constrained Policy Iteration as Diffusion Noise Regression for Offline Reinforcement Learning
ICLR 2025
KP-PINNs: Kernel Packet Accelerated Physics Informed Neural Networks
IJCAI 2025
Deep Learning for Multivariate Time Series Imputation: A Survey
IJCAI 2025
The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling
ICML 2024
AiOS: All-in-One-Stage Expressive Human Pose and Shape Estimation
CVPR 2024
Elucidating the design space of classifier-guided diffusion generation
ICLR 2024
Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model
NIPS 2024
Random Smoothing Regularization in Kernel Gradient Descent Learning
JMLR 2024
Referee Can Play: An Alternative Approach to Conditional Generation via Model Inversion
ICML 2024
Deciphering the Projection Head: Representation Evaluation Self-supervised Learning
IJCAI 2024
MuSHRoom: Multi-Sensor Hybrid Room Dataset for Joint 3D Reconstruction and Novel View Synthesis
WACV 2024
"EMDM: Efficient Motion Diffusion Model for Fast, High-Quality Human Motion Generation"
ECCV 2024
D2R2: Diffusion-based Representation with Random Distance Matching for Tabular Few-shot Learning
NIPS 2024
Complexity Matters: Rethinking the Latent Space for Generative Modeling
NIPS 2023
Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding
ICLR 2023
Zolly: Zoom Focal Length Correctly for Perspective-Distorted Human Mesh Reconstruction
ICCV 2023
Constrained Policy Optimization with Explicit Behavior Density For Offline Reinforcement Learning
NIPS 2023
Deep Insights into Noisy Pseudo Labeling on Graph Data
NIPS 2023
Uncertainty Quantification for Bayesian Optimization
AISTATS 2022
HuMMan: Multi-modal 4D Human Dataset for Versatile Sensing and Modeling
ECCV 2022
Understanding Square Loss in Training Overparametrized Neural Network Classifiers
NIPS 2022
Gaussian process regression: Optimality, robustness, and relationship with kernel ridge regression
JMLR 2022
Segmenting Transparent Objects in the Wild with Transformer
IJCAI 2021
Regularization Matters: A Nonparametric Perspective on Overparametrized Neural Network
AISTATS 2021
Kriging Prediction with Isotropic Matern Correlations: Robustness and Experimental Designs
JMLR 2020
Segmenting Transparent Objects in the Wild
ECCV 2020
Scene Text Image Super-resolution in the wild
ECCV 2020
Efficient and Accurate Arbitrary-Shaped Text Detection With Pixel Aggregation Network
ICCV 2019