Jiaming Liang
12 papers · 2021–2026 · 7 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
Jump to papers ↓+3 more ↓ Show less ↑
🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (37) 🌍 Conference Polyglot · Silver 🗃️ Keyword Collector (64)
⚡
Prolific Year · Productive
🌈
Renaissance Researcher
(6)
💎
Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(8)
Artificial Intelligence
(6)
Core AI
(6)
Deep Learning
(5)
Computer Vision
(4)
Learning Types · Deep Learning
(4)
Optimization & Theory
(4)
Mathematics & Optimization
(3)
Analysis
(3)
Application Areas
(2)
Bayesian & Probabilistic
(2)
Learning Types · Machine Learning
(2)
Mathematics
(2)
Optimization
(2)
Processing
(2)
Keywords
temporal action detection
(2)
proximal sampler
(2)
markov chain monte carlo
(2)
langevin dynamics
(1)
self-supervised learning
(1)
data augmentation
(1)
reinforcement learning
(1)
sample complexity
(1)
autonomous driving
(1)
policy learning
(1)
video understanding
(1)
inverse dynamics
(1)
video analysis
(1)
gibbs sampling
(1)
variance reduction
(1)
question answering
(1)
robot manipulation
(1)
action localization
(1)
linear convergence
(1)
representation learning
(1)
Papers
Bootstrap Dynamic-Aware 3D Visual Representation for Scalable Robot Learning
CVPR 2026
OTI: A Model-free and Visually Interpretable Measure of Image Attackability
AAAI 2026
SDDF: Specificity-Driven Dynamic Focusing for Open-Vocabulary Camouflaged Object Detection
CVPR 2026
Variance Reduction and Low Sample Complexity in Stochastic Optimization via Proximal Point Method
ALT 2026
CarPlanner: Consistent Auto-regressive Trajectory Planning for Large-Scale Reinforcement Learning in Autonomous Driving
CVPR 2025
Characterizing Dependence of Samples along the Langevin Dynamics and Algorithms via Contraction of $Φ$-Mutual Information (Extended Abstract)
COLT 2025
HWA-UNETR: Hierarchical Window Aggregate UNETR for 3D Multimodal Gastric Lesion Segmentation
MICCAI 2025
Proximal Sampler with Adaptive Step Size
AISTATS 2025
Temporal Action Detection Model Compression by Progressive Block Drop
CVPR 2025
Benchmarking the Robustness of Temporal Action Detection Models Against Temporal Corruptions
CVPR 2024
On a Class of Gibbs Sampling over Networks
COLT 2023
A Semantic-based Method for Unsupervised Commonsense Question Answering
ACL 2021