Yijie Wang
11 papers · 2019–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (6) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (7) π Cross-Pollinator (9)
π
Cross-Pollinator
(9)
π
Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(36)
π
Grand Slam
π
Century Club
(11)
π
Conference Pioneer
ποΈ
Keyword Collector
(56)
π₯
Unstoppable
(7)
Conferences
AAAI (4)
CVPR (2)
ACL (1)
ICLR (1)
ICML (1)
NIPS (1)
UAI (1)
Top co-authors
Keywords
anomaly detection
(3)
outlier detection
(2)
3d reconstruction
(1)
feature learning
(1)
domain adaptation
(1)
rumor detection
(1)
game theory
(1)
depth estimation
(1)
feature selection
(1)
embedding learning
(1)
self-supervised learning
(1)
knowledge distillation
(1)
ensemble learning
(1)
point cloud
(1)
zero-shot learning
(1)
constrained optimization
(1)
representation learning
(1)
sparse regression
(1)
generalization error
(1)
unsupervised learning
(1)
Papers
LLM-based Rumor Detection via Influence Guided Sample Selection and Game-based Perspective Analysis
ACL 2025
Bias-aware Boolean Matrix Factorization Using Disentangled Representation Learning
UAI 2024
Data Distribution Distilled Generative Model for Generalized Zero-Shot Recognition
AAAI 2024
Learning Sparse Group Models Through Boolean Relaxation
ICLR 2023
Fascinating Supervisory Signals and Where to Find Them: Deep Anomaly Detection with Scale Learning
ICML 2023
RayMVSNet: Learning Ray-Based 1D Implicit Fields for Accurate Multi-View Stereo
CVPR 2022
Neighborhood Consensus Networks for Unsupervised Multi-view Outlier Detection
AAAI 2021
Fast Projection onto the Capped Simplex with Applications to Sparse Regression in Bioinformatics
NIPS 2021
Outlier Detection Ensemble with Embedded Feature Selection
AAAI 2020
HPLFlowNet: Hierarchical Permutohedral Lattice FlowNet for Scene Flow Estimation on Large-Scale Point Clouds
CVPR 2019
Embedding-Based Complex Feature Value Coupling Learning for Detecting Outliers in Non-IID Categorical Data
AAAI 2019