Xudong Wang
34 papers · 2018–2026 · 11 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (7) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (11) π Cross-Pollinator (11)
π
Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(77)
π
Interdisciplinary Bridge
π
Grand Slam
π
Conference Pioneer
ποΈ
Keyword Collector
(143)
π₯
Unstoppable
(5)
π
Century Club
(29)
β‘
Prolific Year
(5)
Conferences
CVPR (13)
AAAI (8)
ECCV (2)
ICLR (2)
ICML (2)
NIPS (2)
ICCV (1)
IJCAI (1)
INTERSPEECH (1)
MICCAI (1)
WACV (1)
Top co-authors
Keywords
unsupervised learning
(6)
instance segmentation
(6)
semantic segmentation
(5)
self-supervised learning
(5)
image generation
(3)
image segmentation
(3)
object detection
(3)
neural network
(2)
graph neural network
(2)
zero-shot learning
(2)
language model evaluation
(2)
catastrophic forgetting
(2)
feature learning
(2)
domain adaptation
(2)
panoptic segmentation
(2)
continual learning
(2)
semi-supervised learning
(1)
adversarial learning
(1)
reinforcement learning
(1)
benchmark evaluation
(1)
Papers
SeqWalker: Sequential-Horizon Vision-and-Language Navigation with Hierarchical Planning
AAAI 2026
Bring Your Dreams to Life: Continual Text-to-Video Customization
AAAI 2026
Adaptive Riemannian Graph Neural Networks
AAAI 2026
Lifelong Language-Conditioned Robotic Manipulation Learning
AAAI 2026
Auto-PRE: An Automatic and Cost-Efficient Peer-Review Framework for Language Generation Evaluation
AAAI 2026
Visual Lexicon: Rich Image Features in Language Space
CVPR 2025
DMT-RoleBench: A Dynamic Multi-Turn Dialogue Based Benchmark for Role-Playing Evaluation of Large Language Model and Agent
AAAI 2025
SegLLM: Multi-round Reasoning Segmentation with Large Language Models
ICLR 2025
Simplifying DINO via Coding Rate Regularization
ICML 2025
Explainable Graph Representation Learning via Graph Pattern Analysis
IJCAI 2025
Federated Label-Noise Learning with Local Diversity Product Regularization
AAAI 2024
IOSSAM: Label Efficient Multi-View Prompt-Driven Tooth Segmentation
MICCAI 2024
Segment Anything without Supervision
NIPS 2024
See Say and Segment: Teaching LMMs to Overcome False Premises
CVPR 2024
Unsupervised Universal Image Segmentation
CVPR 2024
InstanceDiffusion: Instance-level Control for Image Generation
CVPR 2024
VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation
CVPR 2024
TF-FAS: Twofold-Element Fine-Grained Semantic Guidance for Generalizable Face Anti-Spoofing
ECCV 2024
Painterly Image Harmonization via Adversarial Residual Learning
WACV 2024
Learning Graph Representation via Graph Entropy Maximization
ICML 2024
Hierarchical Open-vocabulary Universal Image Segmentation
NIPS 2023
Cut and Learn for Unsupervised Object Detection and Instance Segmentation
CVPR 2023
SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 Inference
ICCV 2023
Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers
CVPR 2022
Unsupervised Hierarchical Semantic Segmentation With Multiview Cosegmentation and Clustering Transformers
CVPR 2022
Unsupervised Selective Labeling for More Effective Semi-Supervised Learning
ECCV 2022
Improving Hypernasality Estimation with Automatic Speech Recognition in Cleft Palate Speech
INTERSPEECH 2022
Debiased Learning From Naturally Imbalanced Pseudo-Labels
CVPR 2022
Long-tailed Recognition by Routing Diverse Distribution-Aware Experts
ICLR 2021
Unsupervised Visual Attention and Invariance for Reinforcement Learning
CVPR 2021
Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination
CVPR 2021
Tied Block Convolution: Leaner and Better CNNs with Shared Thinner Filters
AAAI 2021
Towards Universal Object Detection by Domain Attention
CVPR 2019
Feature Space Transfer for Data Augmentation
CVPR 2018