Xudong Liu
22 papers · 2016–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (7) π Academic Marathon (9) π§ Keyword Pioneer π Interdisciplinary Bridge π Cross-Pollinator (5)
π
Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(64)
π§
Keyword Pioneer
π
Trend Setter
π₯
Unstoppable
(7)
π
Century Club
(20)
β‘
Prolific Year
(5)
ποΈ
Keyword Collector
(126)
Conferences
AAAI (8)
CVPR (5)
IJCAI (3)
EMNLP (2)
ACL (1)
EACL (1)
ICCV (1)
IJCNLP (1)
Top co-authors
Keywords
graph convolutional network
(3)
self-supervised learning
(3)
neural network
(3)
dependency tree
(3)
aspect-level sentiment
(2)
attention mechanism
(2)
vision transformer
(2)
object detection
(2)
multi-task learning
(2)
contrastive learning
(2)
image classification
(2)
relation extraction
(2)
representation learning
(2)
multimodal learning
(2)
bidirectional lstm
(2)
unsupervised learning
(2)
domain adaptation
(1)
variational inference
(1)
semantic segmentation
(1)
spectral clustering
(1)
Papers
WaveFormer: Frequency-Time Decoupled Vision Modeling with Wave Equation
AAAI 2026
Mask What Matters: Mitigating Object Hallucinations in Multimodal Large Language Models with Object-Aligned Visual Contrastive Decoding
EACL 2026
IOP: An Idempotent-Like Optimization Method on the Pareto Front of Hypernetwork
AAAI 2025
DFM: Differentiable Feature Matching for Anomaly Detection
CVPR 2025
LEOD: Label-Efficient Object Detection for Event Cameras
CVPR 2024
Code-Style In-Context Learning for Knowledge-Based Question Answering
AAAI 2024
SCE-MAE: Selective Correspondence Enhancement with Masked Autoencoder for Self-Supervised Landmark Estimation
CVPR 2024
High-Fidelity Clothed Avatar Reconstruction From a Single Image
CVPR 2023
Cross-view Semantic Alignment for Livestreaming Product Recognition
ICCV 2023
A Transformational Biencoder with In-Domain Negative Sampling for Zero-Shot Entity Linking
ACL 2022
Unsupervised Sentence Representation via Contrastive Learning with Mixing Negatives
AAAI 2022
Clustering Partial Lexicographic Preference Trees (Student Abstract)
AAAI 2021
Measuring Vegetation Density in Marsh Grass Photographs Using Deep Neural Networks (Student Abstract)
AAAI 2021
Progressive Multi-task Learning with Controlled Information Flow for Joint Entity and Relation Extraction
AAAI 2021
Structured Probabilistic End-to-End Learning from Crowds
IJCAI 2020
Multivariate Probability Calibration with Isotonic Bernstein Polynomials
IJCAI 2020
Relation Extraction with Convolutional Network over Learnable Syntax-Transport Graph
AAAI 2020
Recurrent Interaction Network for Jointly Extracting Entities and Classifying Relations
EMNLP 2020
IMRAM: Iterative Matching With Recurrent Attention Memory for Cross-Modal Image-Text Retrieval
CVPR 2020
Aspect-Level Sentiment Analysis Via Convolution over Dependency Tree
IJCNLP 2019
Aspect-Level Sentiment Analysis Via Convolution over Dependency Tree
EMNLP 2019
Incorporating External Knowledge into Crowd Intelligence for More Specific Knowledge Acquisition
IJCAI 2016