Ke Ma
24 papers · 2018–2026 · 9 conferences · across top CS/AI conferences
Achievements
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🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (9)
🐣
Hot Topic Early Bird
🌈
Renaissance Researcher
(5)
🌍
Conference Polyglot
(9)
🏆
Keyword Champion
(3)
🗃️
Keyword Collector
(105)
🚀
Conference Pioneer
💎
Century Club
(20)
⚡
Prolific Year
(7)
Conferences
AAAI (6)
CVPR (5)
ACL (3)
ECCV (3)
ICML (2)
NIPS (2)
AISTATS (1)
ICCV (1)
IJCAI (1)
Top co-authors
Research topics
Keywords
image restoration
(3)
ordinal embedding
(3)
diffusion model
(3)
model compression
(2)
stochastic gradient descent
(1)
metric learning
(1)
dimensionality reduction
(1)
nonconvex optimization
(1)
reinforcement learning
(1)
transfer learning
(1)
vision transformer
(1)
matrix factorization
(1)
video generation
(1)
attention mechanism
(1)
data augmentation
(1)
knowledge transfer
(1)
question answering
(1)
global convergence
(1)
test-time adaptation
(1)
adversarial learning
(1)
Papers
LidarPainter: One-Step Away from Any Lidar View to Novel Guidance
AAAI 2026
SimRPD: Optimizing Recruitment Proactive Dialogue Agents through Simulator-Based Data Evaluation and Selection
ACL 2026
Response-G1: Explicit Scene Graph Modeling for Proactive Streaming Video Understanding
ACL 2026
Phys-Liquid: A Physics-Informed Dataset for Estimating 3D Geometry and Volume of Transparent Deformable Liquids
AAAI 2026
SURGEON: Memory-Adaptive Fully Test-Time Adaptation via Dynamic Activation Sparsity
CVPR 2025
Exploring Query Efficient Data Generation Towards Data-Free Model Stealing in Hard Label Setting
AAAI 2025
Adapt Once, Thrive with Updates: Transferable Parameter-Efficient Fine-Tuning on Evolving Base Models
ACL 2025
Divide and Conquer: Heterogeneous Noise Integration for Diffusion-based Adversarial Purification
CVPR 2025
SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device
CVPR 2025
Diffusion-based Adversarial Purification from the Perspective of the Frequency Domain
ICML 2025
Cannot See the Forest for the Trees: Invoking Heuristics and Biases to Elicit Irrational Choices of LLMs
ICML 2025
HAWK: Learning to Understand Open-World Video Anomalies
NIPS 2024
"Towards Dual Transparent Liquid Level Estimation in Biomedical Lab: Dataset, Methods and Practice"
ECCV 2024
Slicing Vision Transformer for Flexible Inference
NIPS 2024
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
LAS-AT: Adversarial Training With Learnable Attack Strategy
CVPR 2022
What to Select: Pursuing Consistent Motion Segmentation from Multiple Geometric Models
AAAI 2021
Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin
AAAI 2019
DewarpNet: Single-Image Document Unwarping With Stacked 3D and 2D Regression Networks
ICCV 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