Dongxiao Zhu
15 papers · 2020–2026 · 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
Jump to papers ↓+4 more ↓ Show less ↑
🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (35)
🧬
Topic Evolution
💎
Century Club · Bronze
🔥
Unstoppable · Bronze
🗃️
Keyword Collector
(76)
Top co-authors
Research topics
Artificial Intelligence
(9)
Machine Learning
(9)
Core AI
(9)
Deep Learning
(5)
Core Methods
(4)
Learning Types · Deep Learning
(4)
Optimization & Theory · Machine Learning
(4)
Computer Vision
(3)
Application Areas
(3)
Optimization & Theory · Deep Learning
(3)
Healthcare & Medicine
(2)
Architectures
(2)
Clinical
(2)
Domain-Specific
(2)
Learning Types · Machine Learning
(2)
Keywords
deep neural network
(3)
neural network
(2)
medical image segmentation
(2)
convolutional neural network
(2)
feature importance
(2)
gradient attribution
(2)
computed tomography
(2)
adversarial robustness
(1)
semantic segmentation
(1)
transformer architecture
(1)
preference optimization
(1)
depth estimation
(1)
visual grounding
(1)
data augmentation
(1)
attention mechanism
(1)
stochastic gradient descent
(1)
feature attribution
(1)
feature distribution
(1)
computational efficiency
(1)
neural network interpretability
(1)
Papers
FluenceFormer: Transformer-Driven Multi-Beam Fluence Map Regression for Radiotherapy Planning
MIDL 2026
Not All Tokens Are Meant to Be Forgotten
AAAI 2026
WalkGPT: Grounded Vision-Language Conversation with Depth-Aware Segmentation for Pedestrian Navigation
CVPR 2026
AutoProSAM: Automated Prompting SAM for 3D Multi-Organ Segmentation
WACV 2025
MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training
WACV 2025
Fairness-aware Vision Transformer via Debiased Self-Attention
ECCV 2024
MFABA: A More Faithful and Accelerated Boundary-Based Attribution Method for Deep Neural Networks
AAAI 2024
Learning Compact Features via In-Training Representation Alignment
AAAI 2023
Negative Flux Aggregation to Estimate Feature Attributions
IJCAI 2023
AttCAT: Explaining Transformers via Attentive Class Activation Tokens
NeurIPS 2022
Counterfactual Interpolation Augmentation (CIA): A Unified Approach to Enhance Fairness and Explainability of DNN
IJCAI 2022
Explaining Deep Neural Network Models with Adversarial Gradient Integration
IJCAI 2021
Improving Adversarial Robustness via Probabilistically Compact Loss with Logit Constraints
AAAI 2021
Explainable Recommendation via Interpretable Feature Mapping and Evaluation of Explainability
IJCAI 2020
On the Learning Property of Logistic and Softmax Losses for Deep Neural Networks
AAAI 2020