Yixing Xu
20 papers · 2017–2026 · 7 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (8) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) 🐣 Hot Topic Early Bird
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Conference Polyglot
(7)
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Academic Marathon
(8)
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Dynamic Duo
(12)
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Unstoppable
(7)
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Century Club
(18)
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Prolific Year
(5)
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Keyword Collector
(89)
Conferences
NIPS (6)
CVPR (4)
ICML (4)
AAAI (3)
COLING (1)
ICCV (1)
IJCAI (1)
Top co-authors
Keywords
model compression
(9)
vision transformer
(3)
generalization bound
(2)
neural network optimization
(2)
semi-supervised learning
(2)
neural architecture search
(2)
neural network binarization
(2)
multi-class classification
(2)
performance prediction
(2)
binary neural network
(2)
positive-unlabeled learning
(2)
knowledge distillation
(2)
filter pruning
(2)
supervised learning
(1)
source-free domain adaptation
(1)
feature selection
(1)
federated learning
(1)
manifold regularization
(1)
domain adaptation
(1)
contrastive learning
(1)
Papers
Learnable Permutation for Structured Sparsity on Transformer Models
AAAI 2026
SparK: Query-Aware Unstructured Sparsity with Recoverable KV Cache Channel Pruning
AAAI 2026
Gumiho: A Hybrid Architecture to Prioritize Early Tokens in Speculative Decoding
ICML 2025
Enhancing One-Shot Pruned Pre-trained Language Models through Sparse-Dense-Sparse Mechanism
COLING 2025
QT-ViT: Improving Linear Attention in ViT with Quadratic Taylor Expansion
NIPS 2024
Enhancing Vision Transformer: Amplifying Non-Linearity in Feedforward Network Module
ICML 2024
FDViT: Improve the Hierarchical Architecture of Vision Transformer
ICCV 2023
BiMLP: Compact Binary Architectures for Vision Multi-Layer Perceptrons
NIPS 2022
Source-Free Domain Adaptation via Distribution Estimation
CVPR 2022
Federated Learning with Positive and Unlabeled Data
ICML 2022
Manifold Regularized Dynamic Network Pruning
CVPR 2021
Learning Frequency Domain Approximation for Binary Neural Networks
NIPS 2021
ReNAS: Relativistic Evaluation of Neural Architecture Search
CVPR 2021
Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks
AAAI 2020
Kernel Based Progressive Distillation for Adder Neural Networks
NIPS 2020
SCOP: Scientific Control for Reliable Neural Network Pruning
NIPS 2020
A Semi-Supervised Assessor of Neural Architectures
CVPR 2020
Training Binary Neural Networks through Learning with Noisy Supervision
ICML 2020
Positive-Unlabeled Compression on the Cloud
NIPS 2019
Multi-Positive and Unlabeled Learning
IJCAI 2017