Ting Jiang
10 papers · 2021–2026 · 5 venues · across top CS/AI venues
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Research topics
Machine Learning
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Deep Learning
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Natural Language Processing
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Learning Types Β· Machine Learning
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Learning Types Β· Deep Learning
(4)
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Artificial Intelligence
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Computer Vision
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Processing
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Keywords
diffusion model
(3)
unsupervised learning
(2)
contrastive learning
(2)
image restoration
(2)
sentence embedding
(2)
text representation
(1)
image generation
(1)
neural network pruning
(1)
in-context learning
(1)
label hierarchy
(1)
hierarchical text classification
(1)
multi-label classification
(1)
data augmentation
(1)
prompt-based learning
(1)
model pruning
(1)
attention mechanism
(1)
image denoising
(1)
singular value decomposition
(1)
shadow removal
(1)
text classification
(1)
Papers
FlashSVD: Memory-Efficient Inference with Streaming for Low-Rank Models
AAAI 2026
Diff-Shadow: Global-guided Diffusion Model for Shadow Removal
AAAI 2025
Realistic Noise Synthesis with Diffusion Models
AAAI 2025
SADA: Stability-guided Adaptive Diffusion Acceleration
ICML 2025
Scaling Sentence Embeddings with Large Language Models
EMNLP 2024
MEFLUT: Unsupervised 1D Lookup Tables for Multi-exposure Image Fusion
ICCV 2023
Pruning Pre-trained Language Models Without Fine-Tuning
ACL 2023
Exploiting Global and Local Hierarchies for Hierarchical Text Classification
EMNLP 2022
PromptBERT: Improving BERT Sentence Embeddings with Prompts
EMNLP 2022
LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text Classification
AAAI 2021