Wenjing Yang
31 papers · 2019–2026 · 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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πΊοΈ Taxonomy Completionist (70) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Mega-Team Β· Squad
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Keyword Champion
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Grand Slam
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Dynamic Duo
(11)
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The Questioner
(3)
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Unstoppable Β· Bronze
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Century Club Β· Bronze
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Prolific Year Β· Prolific
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Renaissance Researcher
(6)
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Keyword Collector
(149)
Top co-authors
Research topics
Artificial Intelligence
(23)
Core AI
(20)
Machine Learning
(15)
Deep Learning
(12)
Computer Vision
(7)
Application Areas
(6)
Learning Types Β· Deep Learning
(6)
Natural Language Processing
(5)
Core Methods
(5)
Optimization & Theory
(5)
Architectures
(4)
Learning Types Β· Machine Learning
(4)
Resources & Methods
(4)
Learning Paradigms
(3)
Models
(3)
Keywords
few-shot learning
(4)
behavior tree
(4)
large language model
(3)
multi-agent coordination
(2)
motion planning
(2)
domain adaptation
(2)
retrieval-augmented generation
(2)
decentralized planning
(2)
multimodal large language model
(2)
task planning
(2)
causal inference
(2)
video reasoning
(2)
visual reasoning
(2)
benchmark evaluation
(2)
monte carlo tree search
(2)
question answering
(2)
image understanding
(2)
remote sensing
(2)
large multimodal model
(2)
causal reasoning
(1)
Papers
Detecting Unobserved Confounders: A Kernelized Regression Approach
AAAI 2026
ECD: Evidence-guided Contrastive Decoding in Retrieval-Augmented Generation with Accurate Knowledge Reference Adjustment
AAAI 2026
Graph-to-Frame RAG: Visual-Space Knowledge Fusion for Training-Free and Auditable Video Reasoning
CVPR 2026
Partial Fairness Awareness: Belief-Guided Strategic Mechanism for Strategic Agents
AAAI 2026
RealUnify: Do Unified Models Truly Benefit from Unification? A Comprehensive Benchmark
CVPR 2026
Reinforce to Learn, Elect to Reason: A Dual Paradigm for Video Reasoning
CVPR 2026
Unstitching the Chimera: Frame-Level Risk and Train-Free Mitigation for Video Hallucination
CVPR 2026
Advancing E-commerce Merchants Telemarketing with Synthetic Data-Driven LLMs
EMNLP 2025
Attribute-formed Class-specific Concept Space: Endowing Language Bottleneck Model with Better Interpretability and Scalability
CVPR 2025
BTPG: A Platform and Benchmark for Behavior Tree Planning in Everyday Service Robots
IJCAI 2025
ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs
EMNLP 2025
Effective and Efficient Time-Varying Counterfactual Prediction with State-Space Models
ICLR 2025
Enhancing Uncertainty Quantification in Large Language Models through Semantic Graph Density
UAI 2025
Harnessing Massive Satellite Imagery with Efficient Masked Image Modeling
ICCV 2025
MRBTP: Efficient Multi-Robot Behavior Tree Planning and Collaboration
AAAI 2025
Transformer-Based Spatial-Temporal Counterfactual Outcomes Estimation
ICML 2025
XLRS-Bench: Could Your Multimodal LLMs Understand Extremely Large Ultra-High-Resolution Remote Sensing Imagery?
CVPR 2025
Integrating Intent Understanding and Optimal Behavior Planning for Behavior Tree Generation from Human Instructions
IJCAI 2024
Scaling Few-Shot Learning for the Open World
AAAI 2024
Sequential Fusion Based Multi-Granularity Consistency for Space-Time Transformer Tracking
AAAI 2024
Unveiling Causal Reasoning in Large Language Models: Reality or Mirage?
NeurIPS 2024
Domain Specified Optimization for Deployment Authorization
ICCV 2023
MagicFusion: Boosting Text-to-Image Generation Performance by Fusing Diffusion Models
ICCV 2023
SODA: Robust Training of Test-Time Data Adaptors
NeurIPS 2023
Meta Discovery: Learning to Discover Novel Classes given Very Limited Data
ICLR 2022
BT Expansion: a Sound and Complete Algorithm for Behavior Planning of Intelligent Robots with Behavior Trees
AAAI 2021
Conditional Variational Capsule Network for Open Set Recognition
ICCV 2021
Dec-SGTS: Decentralized Sub-Goal Tree Search for Multi-Agent Coordination
AAAI 2021
Graph Adversarial Self-Supervised Learning
NeurIPS 2021
TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation
NeurIPS 2021
Integrating Decision Sharing with Prediction in Decentralized Planning for Multi-Agent Coordination under Uncertainty
IJCAI 2019