Jen-Hao Rick Chang
13 papers · 2015–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Cross-Pollinator (8) π Conference Polyglot (7) π Academic Marathon (10) π Renaissance Researcher (8)
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Renaissance Researcher
(8)
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Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(31)
π§¬
Topic Evolution
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Century Club
(13)
ποΈ
Keyword Collector
(74)
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Trend Setter
π₯
Unstoppable
(5)
β‘
Prolific Year
(5)
Conferences
CVPR (6)
WACV (2)
ICLR (1)
ICML (1)
INTERSPEECH (1)
NAACL (1)
NIPS (1)
Top co-authors
Research topics
Keywords
neural rendering
(3)
generative model
(2)
large language model
(2)
image classification
(1)
vision transformer
(1)
few-shot learning
(1)
semantic segmentation
(1)
probabilistic modeling
(1)
variational inference
(1)
compressive sensing
(1)
source localization
(1)
source separation
(1)
belief propagation
(1)
sparse representation
(1)
curriculum learning
(1)
style transfer
(1)
object detection
(1)
attention mechanism
(1)
data augmentation
(1)
image generation
(1)
Papers
Mutual Reinforcement of LLM Dialogue Synthesis and Summarization Capabilities for Few-Shot Dialogue Summarization
NAACL 2025
Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum
NIPS 2024
HUGS: Human Gaussian Splats
CVPR 2024
Probabilistic Speech-Driven 3D Facial Motion Synthesis: New Benchmarks Methods and Applications
CVPR 2024
Efficient-3Dim: Learning a Generalizable Single-image Novel-view Synthesizer in One Day
ICLR 2024
Novel-view Acoustic Synthesis From 3D Reconstructed Rooms
INTERSPEECH 2024
Pointersect: Neural Rendering With Cloud-Ray Intersection
CVPR 2023
Token Pooling in Vision Transformers for Image Classification
WACV 2023
FaceLit: Neural 3D Relightable Faces
CVPR 2023
Style Equalization: Unsupervised Learning of Controllable Generative Sequence Models
ICML 2022
SliceNets -- A Scalable Approach for Object Detection in 3D CT Scans
WACV 2021
Random Features for Sparse Signal Classification
CVPR 2016
Propagated Image Filtering
CVPR 2015