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Xi Wu

19 papers · 2018–2026 · 7 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+7 more ↓ πŸ—ΊοΈ Taxonomy Completionist (32) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ† Grand Slam 🧬 Topic Evolution 🧭 Keyword Pioneer πŸš€ Conference Pioneer πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (70) πŸ”₯ Unstoppable Β· Bronze

Venues

IJCAI (5) ICML (4) MICCAI (3) AAAI (2) ICLR (2) NeurIPS (2) ECCV (1)

Top co-authors

Jiefeng Chen (8) Somesh Jha (8) Yingyu Liang (6) Xin Wang (5) Shu Hu (4) Yan Wang (4) Jing Hu (4) Siwei Lyu (3) Yang Guo (2) Jayaram Raghuram (2)

Research topics

Machine Learning (11) Learning Types Β· Machine Learning (10) Artificial Intelligence (7) Core AI (7) Core Methods (5) Deep Learning (4) Reinforcement Learning (3) Methods (3) Computer Vision (2) Learning Types Β· Deep Learning (2) Optimization & Theory (2) Application Areas (1) Applications (1) Architectures (1) Domain-Specific (1)

Keywords

adversarial training (4) adversarial robustness (3) reinforcement learning (2) integrated gradient (2) facial expression recognition (2) neural network (2) semi-supervised learning (1) robust optimization (1) representation learning (1) domain adaptation (1) ensemble learning (1) transductive learning (1) style transfer (1) sample complexity (1) image-to-image translation (1) image generation (1) prompt learning (1) feature attribution (1) neural network interpretability (1) multi-task learning (1)

Papers

PromptEmo: Learning Emotion with Bilateral Textual Prompts in Multi-Domain Open-set Scenarios AAAI 2026 Leveraging Visual Prompt with Diffusion Adversarial Network for Radiotherapy Dose Prediction MICCAI 2025 RLMiniStyler: Light-weight RL Style Agent for Arbitrary Sequential Neural Style Generation IJCAI 2025 Robust Graph Contrastive Learning for Incomplete Multi-view Clustering IJCAI 2025 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 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 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 Stratified Adversarial Robustness with Rejection ICML 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 NeurIPS 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 NeurIPS 2019 Reinforcing Adversarial Robustness using Model Confidence Induced by Adversarial Training ICML 2018