Xiang Pan
18 papers · 2022–2025 · 10 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Gold 🗺️ Taxonomy Completionist (38) 🌉 Interdisciplinary Bridge · Silver 🚀 Conference Pioneer 🌈 Renaissance Researcher (5)
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Deep Learning
(9)
Artificial Intelligence
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Machine Learning
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Learning Types · Machine Learning
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Learning Types · Deep Learning
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Optimization & Theory · Machine Learning
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Computer Vision
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Healthcare & Medicine
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Core AI
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Domain-Specific
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Optimization & Theory · Deep Learning
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Keywords
deep neural network
(2)
causal inference
(1)
knowledge distillation
(1)
zero-shot learning
(1)
semi-supervised learning
(1)
feature learning
(1)
few-shot learning
(1)
variational inference
(1)
transfer learning
(1)
domain adaptation
(1)
natural language processing
(1)
feature selection
(1)
model calibration
(1)
model robustness
(1)
representation learning
(1)
question answering
(1)
reading comprehension
(1)
adversarial training
(1)
medical image segmentation
(1)
federated learning
(1)
Papers
Beyond Interpretability: The Gains of Feature Monosemanticity on Model Robustness
ICLR 2025
Bridging Domains with Approximately Shared Features
AISTATS 2025
Coarse-to-Fine Medical Image Translation by Incorporating Deterministic Guidance and Probabilistic Refinement
MICCAI 2025
Dual-Branch Dynamic Coupling Weakly Supervised Learning for Class-Incremental Histopathological Region Segmentation
MICCAI 2025
Dual-calibrated Co-training Framework for Personalized Federated Semi-Supervised Medical Image Segmentation
AAAI 2025
Fine-Tuning with Uncertainty-Aware Priors Makes Vision and Language Foundation Models More Reliable
AISTATS 2025
M²N: A Progressive Macro-to-Micro 3D Modeling Scheme for Unveiling Drug-Target Affinity
AAAI 2025
Meta-Learning-Driven CT Morphology Disentangled Diffusion Model for Multi-Region SPECT Attenuation Correction
MICCAI 2025
RLBCD: Residual-guided Latent Brownian-bridge Co-Diffusion for Anatomical-to-Metabolic Image Synthesis
IJCAI 2025
Synchronous Inhibition and Activation for Weakly Supervised Semantic Segmentation of Pathology Images
MICCAI 2025
Hemodynamic-Driven Multi-Prototypes Learning for One-Shot Segmentation in Breast Cancer DCE-MRI
MICCAI 2024
PathMamba: Weakly Supervised State Space Model for Multi-class Segmentation of Pathology Images
MICCAI 2024
Sketchy Moment Matching: Toward Fast and Provable Data Selection for Finetuning
NeurIPS 2024
Accelerating Dataset Distillation via Model Augmentation
CVPR 2023
Ensuring DNN Solution Feasibility for Optimization Problems with Linear Constraints
ICLR 2023
Are All Spurious Features in Natural Language Alike? An Analysis through a Causal Lens
EMNLP 2022
Single-channel speech enhancement using Graph Fourier Transform
Interspeech 2022
Task Transfer and Domain Adaptation for Zero-Shot Question Answering
NAACL 2022