Wei Wen
14 papers · 2016–2026 · 8 venues · across top CS/AI venues
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Achievements
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Research topics
Machine Learning
(10)
Deep Learning
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Application Areas
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Optimization & Theory Β· Machine Learning
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Artificial Intelligence
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Core AI
(4)
Computer Vision
(3)
Optimization & Theory Β· Deep Learning
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Natural Language Processing
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Analysis
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Keywords
model compression
(4)
deep neural network
(2)
neural network pruning
(2)
deep learning
(2)
domain adaptation
(2)
efficient computing
(1)
neural network optimization
(1)
preference learning
(1)
image translation
(1)
video understanding
(1)
reinforcement learning
(1)
language modeling
(1)
low-rank approximation
(1)
speaker embedding
(1)
group lasso
(1)
chain-of-thought reasoning
(1)
gaussian priors
(1)
distributed training
(1)
structured sparsity
(1)
contrastive learning
(1)
Papers
VideoAuto-R1: Video Auto Reasoning via Thinking Once, Answering Twice
CVPR 2026
RocketEval: Efficient automated LLM evaluation via grading checklist
ICLR 2025
Variable Segment Length and Domain-Adapted Feature Optimization for Speaker Diarization
Interspeech 2024
D3G: Exploring Gaussian Prior for Temporal Sentence Grounding with Glance Annotation
ICCV 2023
Line Art Correlation Matching Feature Transfer Network for Automatic Animation Colorization
WACV 2021
DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures
ICLR 2020
Neural Predictor for Neural Architecture Search
ECCV 2020
TRP: Trained Rank Pruning for Efficient Deep Neural Networks
IJCAI 2020
Feature Space Perturbations Yield More Transferable Adversarial Examples
CVPR 2019
Learning Intrinsic Sparse Structures within Long Short-Term Memory
ICLR 2018
A Compact DNN: Approaching GoogLeNet-Level Accuracy of Classification and Domain Adaptation
CVPR 2017
Coordinating Filters for Faster Deep Neural Networks
ICCV 2017
TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning
NeurIPS 2017
Learning Structured Sparsity in Deep Neural Networks
NeurIPS 2016