Lemeng Wu
22 papers · 2019–2026 · 8 venues · across top CS/AI venues
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Achievements
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Research topics
Deep Learning
(15)
Machine Learning
(14)
Computer Vision
(10)
Optimization & Theory
(9)
Artificial Intelligence
(7)
Application Areas
(7)
Models
(7)
Analysis
(6)
Core AI
(6)
Learning Types Β· Deep Learning
(5)
Processing
(5)
Learning Types Β· Machine Learning
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Techniques
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Generation
(3)
Core Methods
(2)
Keywords
model compression
(6)
diffusion model
(6)
generative model
(3)
vision transformer
(2)
point cloud generation
(2)
neural network
(2)
ordinary differential equation
(2)
segment anything model
(2)
3d point cloud generation
(2)
knowledge distillation
(2)
continual learning
(1)
image generation
(1)
online learning
(1)
network architecture
(1)
reinforcement learning
(1)
lottery ticket hypothesis
(1)
image segmentation
(1)
semantic segmentation
(1)
image classification
(1)
video segmentation
(1)
Papers
MobileLLM-Flash: Latency-Guided On-Device LLM Design for Industry Scale Deployment
ACL 2026
VideoAuto-R1: Video Auto Reasoning via Thinking Once, Answering Twice
CVPR 2026
EdgeTAM: On-Device Track Anything Model
CVPR 2025
Efficient Track Anything
ICCV 2025
Longhorn: State Space Models are Amortized Online Learners
ICLR 2025
LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding
ICML 2025
Steepest Descent Density Control for Compact 3D Gaussian Splatting
CVPR 2025
Communication Efficient Distributed Training with Distributed Lion
NeurIPS 2024
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything
CVPR 2024
LanguageFlow: Advancing Diffusion Language Generation with Probabilistic Flows
NAACL 2024
Layer Compression of Deep Networks with Straight Flows
AAAI 2024
PrivCirNet: Efficient Private Inference via Block Circulant Transformation
NeurIPS 2024
Fast Point Cloud Generation With Straight Flows
CVPR 2023
FlowGrad: Controlling the Output of Generative ODEs With Gradients
CVPR 2023
Learning Diffusion Bridges on Constrained Domains
ICLR 2023
Diffusion-based Molecule Generation with Informative Prior Bridges
NeurIPS 2022
First Hitting Diffusion Models for Generating Manifold, Graph and Categorical Data
NeurIPS 2022
How to Fill the Optimum Set? Population Gradient Descent with Harmless Diversity
ICML 2022
Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks
NeurIPS 2020
Greedy Optimization Provably Wins the Lottery: Logarithmic Number of Winning Tickets is Enough
NeurIPS 2020
Path-Invariant Map Networks
CVPR 2019
Splitting Steepest Descent for Growing Neural Architectures
NeurIPS 2019