Ming Lin
38 papers · 2013–2025 · 9 conferences · across top CS/AI conferences
Achievements
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Conferences
NIPS (10)
ICML (9)
ICLR (6)
AAAI (4)
CVPR (3)
ECCV (3)
ICCV (1)
IJCAI (1)
RSS (1)
Top co-authors
Keywords
neural architecture search
(5)
model compression
(5)
efficient computing
(3)
knowledge distillation
(2)
mathematical programming
(2)
object detection
(2)
differentiable simulation
(2)
inverse problem
(2)
factorization machine
(2)
differentiable physics
(2)
physics simulation
(2)
feature extraction
(1)
vision transformer
(1)
policy gradient
(1)
convex optimization
(1)
maximum entropy
(1)
metric learning
(1)
image classification
(1)
non-convex optimization
(1)
data augmentation
(1)
Papers
Time-Aware World Model for Adaptive Prediction and Control
ICML 2025
MeRino: Entropy-Driven Design for Generative Language Models on IoT Devices
AAAI 2025
Adaptive Sensitivity Analysis for Robust Augmentation against Natural Corruptions in Image Segmentation
ICML 2025
Model Steering: Learning with a Reference Model Improves Generalization Bounds and Scaling Laws
ICML 2025
Ensemble Learned Bloom Filters: Two Oracles are Better than One
ICML 2025
An Intrinsic Vector Heat Network
ICML 2024
Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge
AAAI 2024
ICAR: Image-Based Complementary Auto Reasoning
AAAI 2024
Search for Efficient Large Language Models
NIPS 2024
Gradient Informed Proximal Policy Optimization
NIPS 2023
Making Vision Transformers Efficient From a Token Sparsification View
CVPR 2023
Auxiliary Modality Learning with Generalized Curriculum Distillation
ICML 2023
DeepMAD: Mathematical Architecture Design for Deep Convolutional Neural Network
CVPR 2023
PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification
ICLR 2023
Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video Recognition
ICLR 2023
Differentiable Analog Quantum Computing for Optimization and Control
NIPS 2022
Entropy-Driven Mixed-Precision Quantization for Deep Network Design
NIPS 2022
Robust Graph Structure Learning via Multiple Statistical Tests
NIPS 2022
MAE-DET: Revisiting Maximum Entropy Principle in Zero-Shot NAS for Efficient Object Detection
ICML 2022
KVT: k-NN Attention for Boosting Vision Transformers
ECCV 2022
FAR: Fourier Aerial Video Recognition
ECCV 2022
Fabric Material Recovery from Video Using Multi-Scale Geometric Auto-Encoder
ECCV 2022
GiraffeDet: A Heavy-Neck Paradigm for Object Detection
ICLR 2022
Ada-NETS: Face Clustering via Adaptive Neighbour Discovery in the Structure Space
ICLR 2022
Entroformer: A Transformer-based Entropy Model for Learned Image Compression
ICLR 2022
NeuPhysics: Editable Neural Geometry and Physics from Monocular Videos
NIPS 2022
Gradient-Free Adversarial Training Against Image Corruption for Learning-based Steering
NIPS 2021
Learning Accurate Entropy Model with Global Reference for Image Compression
ICLR 2021
Zen-NAS: A Zero-Shot NAS for High-Performance Image Recognition
ICCV 2021
Differentiable Simulation of Soft Multi-body Systems
NIPS 2021
Scalable Differentiable Physics for Learning and Control
ICML 2020
Differentiable Cloth Simulation for Inverse Problems
NIPS 2019
Which Factorization Machine Modeling Is Better: A Theoretical Answer with Optimal Guarantee
AAAI 2019
Generalized WarpDriver: Unified Collision Avoidance for Multi-Robot Systems in Arbitrarily Complex Environments
RSS 2018
A Non-convex One-Pass Framework for Generalized Factorization Machine and Rank-One Matrix Sensing
NIPS 2016
Beyond Gaussian Pyramid: Multi-Skip Feature Stacking for Action Recognition
CVPR 2015
Density Corrected Sparse Recovery when R.I.P. Condition Is Broken
IJCAI 2015
Online Kernel Learning with a Near Optimal Sparsity Bound
ICML 2013