Jun Yao
10 papers · 2021–2026 · 9 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (29) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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(5)
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Century Club Β· Bronze
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Research topics
Machine Learning
(9)
Deep Learning
(6)
Artificial Intelligence
(5)
Application Areas
(5)
Core AI
(5)
Learning Types Β· Machine Learning
(4)
Architectures
(3)
Optimization & Theory
(3)
Core Methods
(2)
Learning Types Β· Deep Learning
(2)
Models
(2)
Computer Vision
(1)
Interdisciplinary
(1)
Natural Language Processing
(1)
Reinforcement Learning
(1)
Keywords
model compression
(3)
contrastive learning
(2)
model quantization
(2)
deep reinforcement learning
(1)
hierarchical learning
(1)
multivariate gaussian
(1)
knowledge distillation
(1)
hierarchical reinforcement learning
(1)
convolutional neural network
(1)
data augmentation
(1)
neural machine translation
(1)
trajectory prediction
(1)
policy learning
(1)
neural network optimization
(1)
class imbalance
(1)
efficient computing
(1)
attention mechanism
(1)
kronecker product
(1)
self-supervised learning
(1)
quantization
(1)
Papers
Pixel2Phys: Distilling Governing Laws from Visual Dynamics
CVPR 2026
FlatQuant: Flatness Matters for LLM Quantization
ICML 2025
GSDNet: Revisiting Incomplete Multimodality-Diffusion Emotion Recognition from the Perspective of Graph Spectrum
IJCAI 2025
IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact
ACL 2024
Sparse Multi-Relational Graph Convolutional Network for Multi-type Object Trajectory Prediction
IJCAI 2024
ArCL: Enhancing Contrastive Learning with Augmentation-Robust Representations
ICLR 2023
When Noisy Labels Meet Long Tail Dilemmas: A Representation Calibration Method
ICCV 2023
Accelerating Sparse Convolution with Column Vector-Wise Sparsity
NeurIPS 2022
Commission Fee is not Enough: A Hierarchical Reinforced Framework for Portfolio Management
AAAI 2021
HW-TSCβs Participation in the WMT 2021 Efficiency Shared Task
EMNLP 2021