Jun Yao
9 papers · 2021–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (25) π£ Hot Topic Early Bird π Conference Polyglot (8)
π
Cross-Pollinator
(8)
π
Renaissance Researcher
(6)
π
Grand Slam
π₯
Unstoppable
(5)
Conferences
IJCAI (2)
AAAI (1)
ACL (1)
EMNLP (1)
ICCV (1)
ICLR (1)
ICML (1)
NIPS (1)
Top co-authors
Keywords
model compression
(3)
model quantization
(2)
multivariate gaussian
(1)
hierarchical learning
(1)
neural network optimization
(1)
attention mechanism
(1)
neural machine translation
(1)
convolutional neural network
(1)
trajectory prediction
(1)
policy learning
(1)
knowledge distillation
(1)
efficient computing
(1)
class imbalance
(1)
hierarchical reinforcement learning
(1)
contrastive learning
(1)
noisy label
(1)
inference optimization
(1)
kv cache
(1)
score-based diffusion
(1)
deep reinforcement learning
(1)
Papers
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
When Noisy Labels Meet Long Tail Dilemmas: A Representation Calibration Method
ICCV 2023
ArCL: Enhancing Contrastive Learning with Augmentation-Robust Representations
ICLR 2023
Accelerating Sparse Convolution with Column Vector-Wise Sparsity
NIPS 2022
HW-TSCβs Participation in the WMT 2021 Efficiency Shared Task
EMNLP 2021
Commission Fee is not Enough: A Hierarchical Reinforced Framework for Portfolio Management
AAAI 2021