Qiang Gao
24 papers · 2017–2026 · 9 venues · across top CS/AI venues
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πΊοΈ Taxonomy Completionist (59) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π€ Dynamic Duo (11)
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Venues
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Research topics
Machine Learning
(20)
Artificial Intelligence
(14)
Learning Types Β· Machine Learning
(12)
Deep Learning
(11)
Core AI
(11)
Core Methods
(10)
Learning Types Β· Deep Learning
(6)
Application Areas
(5)
Architectures
(5)
Computer Vision
(4)
Data Science & Analytics
(4)
Natural Language Processing
(4)
Understanding
(4)
Learning Paradigms
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Methods
(3)
Keywords
graph neural network
(4)
self-supervised learning
(3)
contrastive learning
(2)
disentangled representation
(2)
semi-supervised learning
(2)
domain adaptation
(2)
metro flow forecasting
(2)
continual learning
(2)
catastrophic forgetting
(2)
adversarial learning
(1)
image restoration
(1)
metric learning
(1)
anomaly detection
(1)
feature extraction
(1)
manifold learning
(1)
few-shot learning
(1)
visual question answering
(1)
uncertainty quantification
(1)
temporal dynamics
(1)
information bottleneck
(1)
Papers
Beyond Graph Priors: A Co-Evolving Framework Under Uncertainty for Enterprise Resilience Assessment
AAAI 2026
Shedding the Facades, Connecting the Domains: Detecting Shifting Multimodal Hate Video with Test-Time Adaptation
AAAI 2026
Snapmoji: Instant Generation of Animatable Dual-Stylized Avatars
WACV 2026
AdaDARE-gamma: Balancing Stability and Plasticity in Multi-modal LLMs through Efficient Adaptation
CVPR 2025
Adversity-aware Few-shot Named Entity Recognition via Augmentation Learning
AAAI 2025
CodeTool: Enhancing Programmatic Tool Invocation of LLMs via Process Supervision
ACL 2025
MBA-RAG: a Bandit Approach for Adaptive Retrieval-Augmented Generation through Question Complexity
COLING 2025
Responsive Dynamic Graph Disentanglement for Metro Flow Forecasting
AAAI 2025
Advancing Event Causality Identification via Heuristic Semantic Dependency Inquiry Network
EMNLP 2024
Disentanglement-Guided Spatial-Temporal Graph Neural Network for Metro Flow Forecasting (Student Abstract)
AAAI 2024
DSL-FIQA: Assessing Facial Image Quality via Dual-Set Degradation Learning and Landmark-Guided Transformer
CVPR 2024
Enhancing Cross-Document Event Coreference Resolution by Discourse Structure and Semantic Information
COLING 2024
Enhancing Fine-Grained Urban Flow Inference via Incremental Neural Operator
IJCAI 2024
Harvesting Events from Multiple Sources: Towards a Cross-Document Event Extraction Paradigm
ACL 2024
Spatial-Temporal Augmentation for Crime Prediction (Student Abstract)
AAAI 2024
Cross-Regional Fraud Detection via Continual Learning (Student Abstract)
AAAI 2023
Enhancing Knowledge Transfer for Task Incremental Learning with Data-free Subnetwork
NeurIPS 2023
Mobility Prediction via Sequential Trajectory Disentanglement (Student Abstract)
AAAI 2023
Open Anomalous Trajectory Recognition via Probabilistic Metric Learning
IJCAI 2023
Dynamic Manifold Learning for Land Deformation Forecasting
AAAI 2022
InteractionNN: A Neural Network for Learning Hidden Features in Sparse Prediction
IJCAI 2019
ToneNet: A CNN Model of Tone Classification of Mandarin Chinese
Interspeech 2019
Trajectory-User Linking via Variational AutoEncoder
IJCAI 2018
Identifying Human Mobility via Trajectory Embeddings
IJCAI 2017