Hancheng Min
11 papers · 2021–2025 · 6 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (21) 🗃️ Keyword Collector (52)
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Century Club · Bronze
🔥
Unstoppable · Bronze
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The Questioner
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Research topics
Machine Learning
(8)
Deep Learning
(7)
Optimization & Theory · Machine Learning
(7)
Core Methods
(3)
Computer Vision
(2)
Architectures
(2)
Learning Types · Machine Learning
(2)
Models
(2)
Optimization & Theory · Deep Learning
(2)
Reinforcement Learning
(1)
Analysis
(1)
Generation
(1)
Learning Types · Deep Learning
(1)
Methods
(1)
Processing
(1)
Keywords
gradient flow
(4)
implicit bia
(2)
linear network
(2)
gradient descent
(2)
neural network
(2)
graph laplacian
(1)
spectral clustering
(1)
reinforcement learning
(1)
image editing
(1)
policy learning
(1)
binary classification
(1)
constrained markov decision process
(1)
diffusion model
(1)
convergence rate
(1)
global convergence
(1)
weight initialization
(1)
matrix factorization
(1)
model reduction
(1)
parameter-efficient fine-tuning
(1)
adversarial robustness
(1)
Papers
Concept Lancet: Image Editing with Compositional Representation Transplant
CVPR 2025
Gradient Flow Provably Learns Robust Classifiers for Orthonormal GMMs
ICML 2025
Understanding the Learning Dynamics of LoRA: A Gradient Flow Perspective on Low-Rank Adaptation in Matrix Factorization
AISTATS 2025
Voyaging into Perpetual Dynamic Scenes from a Single View
ICCV 2025
Can Implicit Bias Imply Adversarial Robustness?
ICML 2024
Early Neuron Alignment in Two-layer ReLU Networks with Small Initialization
ICLR 2024
Learning Coherent Clusters in Weakly-Connected Network Systems
L4DC 2023
Linear Convergence of Gradient Descent For Finite Width Over-parametrized Linear Networks With General Initialization
AISTATS 2023
On the Convergence of Gradient Flow on Multi-layer Linear Models
ICML 2023
Reinforcement Learning with Almost Sure Constraints
L4DC 2022
On the Explicit Role of Initialization on the Convergence and Implicit Bias of Overparametrized Linear Networks
ICML 2021