xue wang
29 papers · 2018–2026 · 9 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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πΊοΈ Taxonomy Completionist (62) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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Dynamic Duo
(11)
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Topic Evolution
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Renaissance Researcher
(8)
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The Questioner
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Keyword Collector
(145)
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Prolific Year Β· Productive
Top co-authors
Research topics
Machine Learning
(18)
Artificial Intelligence
(11)
Deep Learning
(11)
Learning Types Β· Machine Learning
(11)
Learning Types Β· Deep Learning
(8)
Core AI
(7)
Core Methods
(7)
Computer Vision
(6)
Architectures
(6)
Data Science & Analytics
(5)
Analysis
(5)
Application Areas
(5)
Optimization & Theory
(5)
Learning Paradigms
(4)
Methods
(4)
Keywords
time series forecasting
(8)
domain generalization
(3)
reinforcement learning
(2)
pose estimation
(2)
category-level pose
(2)
anomaly detection
(2)
point cloud
(2)
reward margin
(2)
causal inference
(2)
representation learning
(1)
online learning
(1)
few-shot learning
(1)
policy optimization
(1)
transformer architecture
(1)
concept drift
(1)
neural network training
(1)
feature selection
(1)
feature learning
(1)
video segmentation
(1)
vision transformer
(1)
Papers
Incentivizing Strong Reasoning from Weak Supervision
EACL 2026
ManifoldNeuS: Manifold-aware View Optimizability for Pose-Free Neural Surface Reconstruction
CVPR 2026
Multi-Modal Image Fusion via Intervention-Stable Feature Learning
CVPR 2026
SimDiff: Simpler Yet Better Diffusion Model for Time Series Point Forecasting
AAAI 2026
AlphaDPO: Adaptive Reward Margin for Direct Preference Optimization
ICML 2025
GARF: Learning Generalizable 3D Reassembly for Real-World Fractures
ICCV 2025
Larger or Smaller Reward Margins to Select Preferences for LLM Alignment?
ICML 2025
Learning Bayesian Nash Equilibrium in Auction Games via Approximate Best Response
ICML 2025
MM-RLHF: The Next Step Forward in Multimodal LLM Alignment
ICML 2025
Pre-defined Keypoints Promote Category-level Articulation Pose Estimation via Multi-Modal Alignment
IJCAI 2025
R^2-Art: Category-Level Articulation Pose Estimation from Single RGB Image via Cascade Render Strategy
AAAI 2025
Auctionformer: A Unified Deep Learning Algorithm for Solving Equilibrium Strategies in Auction Games
ICML 2024
CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting
ICLR 2024
DeformableTST: Transformer for Time Series Forecasting without Over-reliance on Patching
NeurIPS 2024
MASTER: Market-Guided Stock Transformer for Stock Price Forecasting
AAAI 2024
U-COPE: Taking a Further Step to Universal 9D Category-level Object Pose Estimation
ECCV 2024
AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation
ICML 2023
Counterfactual-based Saliency Map: Towards Visual Contrastive Explanations for Neural Networks
ICCV 2023
Free Lunch for Domain Adversarial Training: Environment Label Smoothing
ICLR 2023
One Fits All: Power General Time Series Analysis by Pretrained LM
NeurIPS 2023
OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling
NeurIPS 2023
Progressive Backdoor Erasing via Connecting Backdoor and Adversarial Attacks
CVPR 2023
Fast and Unsupervised Action Boundary Detection for Action Segmentation
CVPR 2022
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting
ICML 2022
FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting
NeurIPS 2022
KVT: k-NN Attention for Boosting Vision Transformers
ECCV 2022
Scaled ReLU Matters for Training Vision Transformers
AAAI 2022
Time Series Data Augmentation for Deep Learning: A Survey
IJCAI 2021
Minimax Concave Penalized Multi-Armed Bandit Model with High-Dimensional Covariates
ICML 2018