Ying Ding
17 papers · 2018–2025 · 9 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
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🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (47) 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint
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Renaissance Researcher
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Prolific Year · Productive
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Century Club · Bronze
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Keyword Collector
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Research topics
Machine Learning
(14)
Deep Learning
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Artificial Intelligence
(10)
Core AI
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Natural Language Processing
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Application Areas
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Architectures
(5)
Core Methods
(5)
Learning Types · Machine Learning
(5)
Learning Types · Deep Learning
(5)
Optimization & Theory
(4)
Healthcare & Medicine
(3)
Applications
(3)
Clinical
(3)
Generation
(3)
Keywords
large language model
(4)
medical imaging
(4)
graph neural network
(3)
question answering
(2)
model compression
(2)
contrastive learning
(2)
skip connection
(2)
lottery ticket hypothesis
(2)
representation learning
(2)
chain-of-thought reasoning
(1)
rumor detection
(1)
binary classification
(1)
network pruning
(1)
factuality evaluation
(1)
natural language inference
(1)
distributed learning
(1)
text summarization
(1)
object detection
(1)
information retrieval
(1)
text generation
(1)
Papers
Equal Truth: Rumor Detection with Invariant Group Fairness
EMNLP 2025
GuideLLM: Exploring LLM-Guided Conversation with Applications in Autobiography Interviewing
NAACL 2025
HetGCoT: Heterogeneous Graph-Enhanced Chain-of-Thought LLM Reasoning for Academic Question Answering
EMNLP 2025
Know2Vec: A Black-Box Proxy for Neural Network Retrieval
AAAI 2025
Mapping from Meaning: Addressing the Miscalibration of Prompt-Sensitive Language Models
AAAI 2025
MedHallu: A Comprehensive Benchmark for Detecting Medical Hallucinations in Large Language Models
EMNLP 2025
DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer’s Disease Questions with Scientific Literature
EMNLP 2024
Attend Who Is Weak: Pruning-Assisted Medical Image Localization Under Sophisticated and Implicit Imbalances
WACV 2023
Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication
ICML 2023
Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models
ICML 2023
Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses
ACL 2023
Vision HGNN: An Image is More than a Graph of Nodes
ICCV 2023
EchoGen: Generating Conclusions from Echocardiogram Notes
ACL 2022
Knowledge-Augmented Contrastive Learning for Abnormality Classification and Localization in Chest X-Rays With Radiomics Using a Feedback Loop
WACV 2022
Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again
NeurIPS 2022
Training Your Sparse Neural Network Better with Any Mask
ICML 2022
A^3NCF: An Adaptive Aspect Attention Model for Rating Prediction
IJCAI 2018