Tsung-Hui Chang
21 papers · 2020–2026 · 9 venues · across top CS/AI venues
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Research topics
Machine Learning
(19)
Deep Learning
(13)
Natural Language Processing
(9)
Learning Types Β· Machine Learning
(8)
Core Methods
(6)
Learning Types Β· Deep Learning
(6)
Artificial Intelligence
(5)
Computer Vision
(5)
Application Areas
(5)
Optimization & Theory
(5)
Architectures
(4)
Generation
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Understanding
(4)
Healthcare & Medicine
(3)
Mathematics & Optimization
(3)
Keywords
named entity recognition
(5)
contrastive learning
(4)
diffusion model
(3)
domain adaptation
(3)
impression generation
(2)
multimodal learning
(2)
medical imaging
(2)
sequence labeling
(2)
cross-domain ner
(2)
few-shot relation extraction
(2)
federated learning
(2)
integer linear programming
(2)
graph neural network
(2)
relation extraction
(1)
few-shot learning
(1)
grammatical error correction
(1)
reinforcement learning
(1)
stochastic optimization
(1)
primal-dual optimization
(1)
supervised learning
(1)
Papers
Diffusion Sampling Path Tells More: An Efficient Plug-and-Play Strategy for Sample Filtering
CVPR 2026
Inference-Time Alignment of Diffusion Models with Direct Noise Optimization
ICML 2025
When GNNs meet symmetry in ILPs: an orbit-based feature augmentation approach
ICLR 2025
Accelerating Parallel Sampling of Diffusion Models
ICML 2024
SymILO: A Symmetry-Aware Learning Framework for Integer Linear Optimization
NeurIPS 2024
Zeroth-Order Optimization Meets Human Feedback: Provable Learning via Ranking Oracles
ICLR 2024
z-SignFedAvg: A Unified Stochastic Sign-Based Compression for Federated Learning
AAAI 2024
A Simple Yet Effective Subsequence-Enhanced Approach for Cross-Domain NER
AAAI 2023
Beyond ADMM: A Unified Client-Variance-Reduced Adaptive Federated Learning Framework
AAAI 2023
EASAL: Entity-Aware Subsequence-Based Active Learning for Named Entity Recognition
AAAI 2023
Improving Grammatical Error Correction with Multimodal Feature Integration
ACL 2023
Improving Radiology Summarization with Radiograph and Anatomy Prompts
ACL 2023
Low-rank matrix recovery with unknown correspondence
UAI 2023
A Label-Aware Autoregressive Framework for Cross-Domain NER
NAACL 2022
A Simple yet Effective Relation Information Guided Approach for Few-Shot Relation Extraction
ACL 2022
Graph Enhanced Contrastive Learning for Radiology Findings Summarization
ACL 2022
Hero-Gang Neural Model For Named Entity Recognition
NAACL 2022
Learn from Relation Information: Towards Prototype Representation Rectification for Few-Shot Relation Extraction
NAACL 2022
Exploring Word Segmentation and Medical Concept Recognition for Chinese Medical Texts
NAACL 2021
Word Graph Guided Summarization for Radiology Findings
ACL 2021
Generating Radiology Reports via Memory-driven Transformer
EMNLP 2020