Yichao Wu
21 papers · 2009–2025 · 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
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Research topics
Machine Learning
(16)
Application Areas
(10)
Deep Learning
(9)
Core Methods
(7)
Optimization & Theory Β· Machine Learning
(7)
Computer Vision
(6)
Analysis
(6)
Learning Types Β· Deep Learning
(6)
Learning Types Β· Machine Learning
(4)
Optimization & Theory Β· Deep Learning
(4)
Artificial Intelligence
(2)
Mathematics & Optimization
(2)
Architectures
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Core AI
(2)
Techniques
(2)
Keywords
knowledge distillation
(6)
face recognition
(5)
model compression
(5)
metric learning
(4)
feature embedding
(4)
feature selection
(3)
neural network training
(2)
image classification
(2)
kernel methods
(2)
loss function
(2)
representation learning
(2)
support vector machine
(2)
deep neural network
(2)
similarity learning
(1)
computer vision
(1)
ensemble learning
(1)
adversarial learning
(1)
transfer learning
(1)
batch normalization
(1)
network architecture
(1)
Papers
StepSearch: Igniting LLMs Search Ability via Step-Wise Proximal Policy Optimization
EMNLP 2025
ICD-Face: Intra-class Compactness Distillation for Face Recognition
ICCV 2023
Improving Robust Fariness via Balance Adversarial Training
AAAI 2023
AnchorFace: Boosting TAR@FAR for Practical Face Recognition
AAAI 2022
CoupleFace: Relation Matters for Face Recognition Distillation
ECCV 2022
Knowledge Distillation for Object Detection via Rank Mimicking and Prediction-Guided Feature Imitation
AAAI 2022
OneFace: One Threshold for All
ECCV 2022
PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised Object Detection
ECCV 2022
DAM: Discrepancy Alignment Metric for Face Recognition
ICCV 2021
Differentiable Optimization of Generalized Nondecomposable Functions using Linear Programs
NeurIPS 2021
Learning to Auto Weight: Entirely Data-Driven and Highly Efficient Weighting Framework
AAAI 2020
Online Knowledge Distillation via Collaborative Learning
CVPR 2020
Rotation Consistent Margin Loss for Efficient Low-Bit Face Recognition
CVPR 2020
Correlation Congruence for Knowledge Distillation
ICCV 2019
Dynamic Recursive Neural Network
CVPR 2019
Knowledge Distillation via Route Constrained Optimization
ICCV 2019
R3 Adversarial Network for Cross Model Face Recognition
CVPR 2019
A Consistent Information Criterion for Support Vector Machines in Diverging Model Spaces
JMLR 2016
An Error Bound for L1-norm Support Vector Machine Coefficients in Ultra-high Dimension
JMLR 2016
On Quantile Regression in Reproducing Kernel Hilbert Spaces with the Data Sparsity Constraint
JMLR 2016
Ultrahigh Dimensional Feature Selection: Beyond The Linear Model
JMLR 2009