Xi Wu
19 papers · 2018–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (7) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (7) π Cross-Pollinator (5)
π
Renaissance Researcher
(5)
πΊοΈ
Taxonomy Completionist
(21)
π
Conference Polyglot
(7)
π
Grand Slam
π
Century Club
(18)
π₯
Unstoppable
(8)
π
Conference Pioneer
Conferences
IJCAI (5)
ICML (4)
MICCAI (3)
AAAI (2)
ICLR (2)
NIPS (2)
ECCV (1)
Top co-authors
Keywords
adversarial training
(3)
neural network
(2)
facial expression recognition
(2)
adversarial robustness
(2)
integrated gradient
(2)
domain adaptation
(1)
image-to-image translation
(1)
reinforcement learning
(1)
prompt learning
(1)
feature attribution
(1)
semi-supervised learning
(1)
deep learning
(1)
label disambiguation
(1)
image registration
(1)
hyperparameter tuning
(1)
neural network interpretability
(1)
selective classification
(1)
vision-language model
(1)
latent action
(1)
nearest neighbor search
(1)
Papers
PromptEmo: Learning Emotion with Bilateral Textual Prompts in Multi-Domain Open-set Scenarios
AAAI 2026
Robust Graph Contrastive Learning for Incomplete Multi-view Clustering
IJCAI 2025
RLMiniStyler: Light-weight RL Style Agent for Arbitrary Sequential Neural Style Generation
IJCAI 2025
Leveraging Visual Prompt with Diffusion Adversarial Network for Radiotherapy Dose Prediction
MICCAI 2025
Two Heads are Actually Better than One: Towards Better Adversarial Robustness via Transduction and Rejection
ICML 2024
VersatileGaussian: Real-time Neural Rendering for Versatile Tasks using Gaussian Splatting
ECCV 2024
MCAD: Multi-modal Conditioned Adversarial Diffusion Model for High-Quality PET Image Reconstruction
MICCAI 2024
Robustly Optimized Deep Feature Decoupling Network for Fatty Liver Diseases Detection
MICCAI 2024
Stratified Adversarial Robustness with Rejection
ICML 2023
Controlling Neural Style Transfer with Deep Reinforcement Learning
IJCAI 2023
LION: Label Disambiguation for Semi-supervised Facial Expression Recognition with Progressive Negative Learning
IJCAI 2023
The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning
ICLR 2023
Stochastic Planner-Actor-Critic for Unsupervised Deformable Image Registration
AAAI 2022
Towards Evaluating the Robustness of Neural Networks Learned by Transduction
ICLR 2022
Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles
NIPS 2021
Stochastic Actor-Executor-Critic for Image-to-Image Translation
IJCAI 2021
Concise Explanations of Neural Networks using Adversarial Training
ICML 2020
Robust Attribution Regularization
NIPS 2019
Reinforcing Adversarial Robustness using Model Confidence Induced by Adversarial Training
ICML 2018