Hancheng Min
11 papers · 2021–2025 · 6 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+4 more ↓ Show less ↑
π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (15) π£ Hot Topic Early Bird π Conference Polyglot (6) π§ Keyword Pioneer
π
Cross-Pollinator
(5)
π₯
Unstoppable
(5)
π
Century Club
(11)
β
The Questioner
Conferences
ICML (4)
AISTATS (2)
L4DC (2)
CVPR (1)
ICCV (1)
ICLR (1)
Top co-authors
Keywords
gradient descent
(2)
linear network
(2)
spectral clustering
(1)
graph laplacian
(1)
global convergence
(1)
policy learning
(1)
image editing
(1)
constrained markov decision process
(1)
diffusion model
(1)
convergence rate
(1)
weight initialization
(1)
gradient flow
(1)
implicit bia
(1)
model reduction
(1)
latent space
(1)
novel view synthesis
(1)
text embedding
(1)
exponential convergence
(1)
stationary policy
(1)
dynamic network
(1)
Papers
Understanding the Learning Dynamics of LoRA: A Gradient Flow Perspective on Low-Rank Adaptation in Matrix Factorization
AISTATS 2025
Concept Lancet: Image Editing with Compositional Representation Transplant
CVPR 2025
Voyaging into Perpetual Dynamic Scenes from a Single View
ICCV 2025
Gradient Flow Provably Learns Robust Classifiers for Orthonormal GMMs
ICML 2025
Can Implicit Bias Imply Adversarial Robustness?
ICML 2024
Early Neuron Alignment in Two-layer ReLU Networks with Small Initialization
ICLR 2024
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
Learning Coherent Clusters in Weakly-Connected Network Systems
L4DC 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