Ding Wang
19 papers · 2020–2026 · 11 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (41) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Gold 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Topic Evolution
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Renaissance Researcher
(6)
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Unstoppable · Bronze
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Prolific Year · Productive
💎
Century Club · Bronze
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Research topics
Artificial Intelligence
(12)
Machine Learning
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Core AI
(9)
Learning Types
(6)
Deep Learning
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Application Areas
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Computer Vision
(4)
Architectures
(4)
Natural Language Processing
(3)
Learning Paradigms
(3)
Optimization & Theory
(3)
Knowledge & Reasoning
(2)
Applications
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Core Methods
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Generation
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Keywords
transfer learning
(3)
large language model
(2)
retrieval-augmented generation
(2)
conversational ai
(2)
ai safety
(2)
graph neural network
(2)
relation extraction
(1)
automatic speech recognition
(1)
temporal reasoning
(1)
trajectory prediction
(1)
vision-language alignment
(1)
coreset selection
(1)
feature representation
(1)
label noise
(1)
optical flow
(1)
chain-of-thought reasoning
(1)
hierarchical framework
(1)
collaborative learning
(1)
robust learning
(1)
reconstruction error
(1)
Papers
AeroAgent: A Vision-Physics-Decision Framework for Aerodynamic Vehicle Design
CVPR 2026
Latent Knowledge-Guided Video Diffusion for Scientific Phenomena Generation from a Single Initial Frame
AAAI 2026
LeanRAG: Knowledge-Graph-Based Generation with Semantic Aggregation and Hierarchical Retrieval
AAAI 2026
ReBrain: Brain MRI Reconstruction from Sparse CT Slice via Retrieval-Augmented Diffusion
WACV 2026
Aligning Vision to Language: Annotation-Free Multimodal Knowledge Graph Construction for Enhanced LLMs Reasoning
ICCV 2025
Hierarchical Mixture of Experts: Generalizable Learning for High-Level Synthesis
AAAI 2025
Aggregation of Reasoning: A Hierarchical Framework for Enhancing Answer Selection in Large Language Models
COLING 2024
Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization
NeurIPS 2024
Chain-of-History Reasoning for Temporal Knowledge Graph Forecasting
ACL 2024
Diversity-Aware Annotation for Conversational AI Safety
COLING 2024
GRASP: A Disagreement Analysis Framework to Assess Group Associations in Perspectives
NAACL 2024
Intersectionality in AI Safety: Using Multilevel Models to Understand Diverse Perceptions of Safety in Conversational AI
COLING 2024
Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models
ACL 2024
DICES Dataset: Diversity in Conversational AI Evaluation for Safety
NeurIPS 2023
Few Clean Instances Help Denoising Distant Supervision
COLING 2022
An End-to-End Dialect Identification System with Transfer Learning from a Multilingual Automatic Speech Recognition Model
Interspeech 2021
Learning Deep Neural Networks under Agnostic Corrupted Supervision
ICML 2021
RCA: A Deep Collaborative Autoencoder Approach for Anomaly Detection
IJCAI 2021
OMuLeT: Online Multi-Lead Time Location Prediction for Hurricane Trajectory Forecasting
AAAI 2020