Ke Ma
27 papers · 2018–2026 · 9 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (54) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Keyword Champion
(3)
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Renaissance Researcher
(5)
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Prolific Year Β· Productive
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Conference Pioneer
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Century Club Β· Bronze
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Keyword Collector
(139)
Top co-authors
Research topics
Machine Learning
(16)
Artificial Intelligence
(11)
Computer Vision
(10)
Core AI
(10)
Deep Learning
(8)
Application Areas
(6)
Core Methods
(6)
Learning Types Β· Machine Learning
(6)
Optimization & Theory
(5)
Generation
(4)
Learning Types Β· Deep Learning
(4)
Models
(4)
Processing
(4)
Mathematics & Optimization
(3)
Analysis
(3)
Keywords
diffusion model
(4)
ordinal embedding
(3)
image restoration
(3)
parameter-efficient fine-tuning
(2)
model compression
(2)
adversarial perturbation
(2)
low-rank adaptation
(2)
metric learning
(1)
stochastic gradient descent
(1)
dimensionality reduction
(1)
transfer learning
(1)
matrix factorization
(1)
video generation
(1)
attention mechanism
(1)
non-convex optimization
(1)
reinforcement learning
(1)
global convergence
(1)
question answering
(1)
test-time adaptation
(1)
vision transformer
(1)
Papers
Hidden Dangers of Compositional Generation: Diagnosing Semantic Safety Failures in Text-to-Image Models
CVPR 2026
LidarPainter: One-Step Away from Any Lidar View to Novel Guidance
AAAI 2026
Phys-Liquid: A Physics-Informed Dataset for Estimating 3D Geometry and Volume of Transparent Deformable Liquids
AAAI 2026
Response-G1: Explicit Scene Graph Modeling for Proactive Streaming Video Understanding
ACL 2026
SimRPD: Optimizing Recruitment Proactive Dialogue Agents through Simulator-Based Data Evaluation and Selection
ACL 2026
SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation
CVPR 2026
TaskIT: Memory-Efficient Fine-Tuning of Multi-LoRA LLMs via Cross-Task Importance Transfer
CVPR 2026
Adapt Once, Thrive with Updates: Transferable Parameter-Efficient Fine-Tuning on Evolving Base Models
ACL 2025
Cannot See the Forest for the Trees: Invoking Heuristics and Biases to Elicit Irrational Choices of LLMs
ICML 2025
Diffusion-based Adversarial Purification from the Perspective of the Frequency Domain
ICML 2025
Divide and Conquer: Heterogeneous Noise Integration for Diffusion-based Adversarial Purification
CVPR 2025
Exploring Query Efficient Data Generation Towards Data-Free Model Stealing in Hard Label Setting
AAAI 2025
SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device
CVPR 2025
SURGEON: Memory-Adaptive Fully Test-Time Adaptation via Dynamic Activation Sparsity
CVPR 2025
HAWK: Learning to Understand Open-World Video Anomalies
NeurIPS 2024
Slicing Vision Transformer for Flexible Inference
NeurIPS 2024
"Towards Dual Transparent Liquid Level Estimation in Biomedical Lab: Dataset, Methods and Practice"
ECCV 2024
LAS-AT: Adversarial Training With Learnable Attack Strategy
CVPR 2022
Learning an Isometric Surface Parameterization for Texture Unwrapping
ECCV 2022
Prior-Guided Adversarial Initialization for Fast Adversarial Training
ECCV 2022
Quaternion Ordinal Embedding
IJCAI 2022
What to Select: Pursuing Consistent Motion Segmentation from Multiple Geometric Models
AAAI 2021
DewarpNet: Single-Image Document Unwarping With Stacked 3D and 2D Regression Networks
ICCV 2019
Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin
AAAI 2019
Robust Ordinal Embedding from Contaminated Relative Comparisons
AAAI 2019
DocUNet: Document Image Unwarping via a Stacked U-Net
CVPR 2018
Finding Global Optima in Nonconvex Stochastic Semidefinite Optimization with Variance Reduction
AISTATS 2018