De Wen Soh
12 papers · 2014–2025 · 8 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (11) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (8) 🐣 Hot Topic Early Bird
🏃
Academic Marathon
(11)
🐣
Hot Topic Early Bird
🐝
Cross-Pollinator
(11)
🏆
Keyword Champion
(2)
🗃️
Keyword Collector
(58)
💎
Century Club
(12)
📈
Trend Setter
⚡
Prolific Year
(7)
Conferences
ACL (3)
CVPR (2)
ICCV (2)
ICLR (1)
ICML (1)
JMLR (1)
NAACL (1)
NIPS (1)
Top co-authors
Research topics
Keywords
gaussian graphical model
(2)
markov property
(2)
large language model
(2)
contrastive learning
(2)
data augmentation
(2)
conditional independence
(2)
ensemble learning
(1)
image restoration
(1)
multi-task learning
(1)
named entity recognition
(1)
text generation
(1)
information retrieval
(1)
preference optimization
(1)
sample complexity
(1)
action recognition
(1)
precision matrix
(1)
paraphrase generation
(1)
self-supervised learning
(1)
document retrieval
(1)
depth estimation
(1)
Papers
MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm
ICCV 2025
GaussianBlock: Building Part-Aware Compositional and Editable 3D Scene by Primitives and Gaussians
ICLR 2025
CPCF: A Cross-Prompt Contrastive Framework for Referring Multimodal Large Language Models
ICML 2025
Re3Syn: A Dependency-Based Data Synthesis Framework for Long-Context Post-training
ACL 2025
Visual Prompting for One-shot Controllable Video Editing without Inversion
CVPR 2025
POPEN: Preference-Based Optimization and Ensemble for LVLM-Based Reasoning Segmentation
CVPR 2025
Performing Defocus Deblurring by Modeling its Formation Process
ICCV 2025
Large Language Models can Contrastively Refine their Generation for Better Sentence Representation Learning
NAACL 2024
Order-Agnostic Data Augmentation for Few-Shot Named Entity Recognition
ACL 2024
Towards Better Characterization of Paraphrases
ACL 2022
Learning Unfaithful $K$-separable Gaussian Graphical Models
JMLR 2019
Testing Unfaithful Gaussian Graphical Models
NIPS 2014