← Authors

Yichao Wu

21 papers · 2009–2025 · 7 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌍 Conference Polyglot (7) πŸƒ Academic Marathon (16) 🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (7) πŸ—ΊοΈ Taxonomy Completionist (50) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🀝 Dynamic Duo (13) ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (97) πŸ”₯ Unstoppable (5) πŸ’Ž Century Club (21)

Conferences

AAAI (4) CVPR (4) ICCV (4) JMLR (4) ECCV (3) EMNLP (1) NIPS (1)

Top co-authors

Ding Liang (13) Jiaheng Liu (8) Haoyu Qin (6) Junjie Yan (5) Zhipeng Yu (4) Xiaolin Hu (4) Yudong Wu (3) Ken Chen (3) Qiushan Guo (2) Shanshan Zhang (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
CoupleFace: Relation Matters for Face Recognition Distillation ECCV 2022
PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised Object Detection ECCV 2022
OneFace: One Threshold for All ECCV 2022
Knowledge Distillation for Object Detection via Rank Mimicking and Prediction-Guided Feature Imitation AAAI 2022
AnchorFace: Boosting TAR@FAR for Practical Face Recognition AAAI 2022
Differentiable Optimization of Generalized Nondecomposable Functions using Linear Programs NIPS 2021
DAM: Discrepancy Alignment Metric for Face Recognition ICCV 2021
Rotation Consistent Margin Loss for Efficient Low-Bit Face Recognition CVPR 2020
Learning to Auto Weight: Entirely Data-Driven and Highly Efficient Weighting Framework AAAI 2020
Online Knowledge Distillation via Collaborative Learning CVPR 2020
Knowledge Distillation via Route Constrained Optimization ICCV 2019
Correlation Congruence for Knowledge Distillation ICCV 2019
R3 Adversarial Network for Cross Model Face Recognition CVPR 2019
Dynamic Recursive Neural Network 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