Ning Wang
30 papers · 2018–2026 · 9 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (7) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (9) 🐝 Cross-Pollinator (12)
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Cross-Pollinator
(12)
🌈
Renaissance Researcher
(9)
🗺️
Taxonomy Completionist
(68)
🧬
Topic Evolution
💎
Century Club
(24)
📈
Trend Setter
⚡
Prolific Year
(5)
🗃️
Keyword Collector
(151)
Conferences
AAAI (8)
ACL (6)
CVPR (6)
ICCV (3)
EMNLP (2)
IJCAI (2)
INTERSPEECH (1)
JMLR (1)
NAACL (1)
Top co-authors
Research topics
Keywords
large language model
(8)
video understanding
(4)
image captioning
(3)
visual tracking
(3)
correlation filter
(2)
reinforcement learning
(2)
knowledge distillation
(2)
siamese network
(2)
multimodal learning
(2)
image inpainting
(2)
transformer architecture
(2)
visual object tracking
(2)
image restoration
(2)
anomaly detection
(2)
video object segmentation
(2)
attention mechanism
(2)
semi-supervised learning
(2)
variable selection
(1)
action recognition
(1)
contrastive learning
(1)
Papers
FIXME: Towards End-to-End Benchmarking of LLM-Aided Design Verification
AAAI 2026
Learning from Textual Radiology Reports: A Benchmark Dataset for Coronary CT Angiography
ACL 2026
Mixture of Heterogeneous Grouped Experts for Language Modeling
ACL 2026
Self-Guided Alignment: Adaptive Preference Sensing for Multi-Objective Generation
ACL 2026
Test of Time: Rethinking Temporal Signal of Benchmark Contamination
ACL 2026
REAP: Enhancing RAG with Recursive Evaluation and Adaptive Planning for Multi-Hop Question Answering
AAAI 2026
DAST: Difficulty-Adaptive Slow-Thinking for Large Reasoning Models
EMNLP 2025
Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency
ACL 2025
RobAVA: A Large-scale Dataset and Baseline Towards Video based Robotic Arm Action Understanding
ICCV 2025
Intervening in Black Box: Concept Bottleneck Model for Enhancing Human Neural Network Mutual Understanding
ICCV 2025
Advancing Embodied Agent Security: From Safety Benchmarks to Input Moderation
IJCAI 2025
Statistical analysis for a penalized EM algorithm in high-dimensional mixture linear regression model
JMLR 2024
Language Model Guided Interpretable Video Action Reasoning
CVPR 2024
Cycle-Consistency Learning for Captioning and Grounding
AAAI 2024
General Collaborative Framework between Large Language Model and Experts for Universal Information Extraction
EMNLP 2024
Efficient Image Captioning for Edge Devices
AAAI 2023
Controllable Image Captioning via Prompting
AAAI 2023
Learning Models for Suicide Prediction from Social Media Posts
NAACL 2021
Learning Artificial Intelligence: Insights into How Youth Encounter and Build Understanding of AI Concepts
AAAI 2021
Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking
CVPR 2021
Contrastive Transformation for Self-supervised Correspondence Learning
AAAI 2021
Modular Multi-Modal Attention Network for Alzheimer’s Disease Detection Using Patient Audio and Language Data
INTERSPEECH 2021
Joint Inductive and Transductive Learning for Video Object Segmentation
ICCV 2021
Recurrent Feature Reasoning for Image Inpainting
CVPR 2020
POST: POlicy-Based Switch Tracking
AAAI 2020
Personalized Early Stage Alzheimer’s Disease Detection: A Case Study of President Reagan’s Speeches
ACL 2020
NAS-FCOS: Fast Neural Architecture Search for Object Detection
CVPR 2020
Unsupervised Deep Tracking
CVPR 2019
MUSICAL: Multi-Scale Image Contextual Attention Learning for Inpainting
IJCAI 2019
Multi-Cue Correlation Filters for Robust Visual Tracking
CVPR 2018