Wenjing Yang
27 papers · 2019–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (9) π Academic Marathon (6) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (10)
π
Cross-Pollinator
(10)
π
Renaissance Researcher
(8)
πΊοΈ
Taxonomy Completionist
(57)
π§¬
Topic Evolution
π
Keyword Champion
π
Grand Slam
π€
Dynamic Duo
(10)
π
Century Club
(24)
ποΈ
Keyword Collector
(116)
π₯
Unstoppable
(5)
β
The Questioner
(2)
β‘
Prolific Year
(5)
Conferences
AAAI (8)
ICCV (4)
NIPS (4)
IJCAI (3)
CVPR (2)
EMNLP (2)
ICLR (2)
ICML (1)
UAI (1)
Top co-authors
Keywords
behavior tree
(4)
few-shot learning
(3)
large language model
(3)
motion planning
(2)
benchmark evaluation
(2)
multi-agent coordination
(2)
task planning
(2)
remote sensing
(2)
monte carlo tree search
(2)
domain adaptation
(2)
decentralized planning
(2)
graph classification
(1)
hierarchical planning
(1)
object detection
(1)
causal reasoning
(1)
variational inference
(1)
semantic segmentation
(1)
graph representation learning
(1)
visual object tracking
(1)
attention mechanism
(1)
Papers
Detecting Unobserved Confounders: A Kernelized Regression Approach
AAAI 2026
Partial Fairness Awareness: Belief-Guided Strategic Mechanism for Strategic Agents
AAAI 2026
ECD: Evidence-guided Contrastive Decoding in Retrieval-Augmented Generation with Accurate Knowledge Reference Adjustment
AAAI 2026
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
Enhancing Uncertainty Quantification in Large Language Models through Semantic Graph Density
UAI 2025
MRBTP: Efficient Multi-Robot Behavior Tree Planning and Collaboration
AAAI 2025
XLRS-Bench: Could Your Multimodal LLMs Understand Extremely Large Ultra-High-Resolution Remote Sensing Imagery?
CVPR 2025
Advancing E-commerce Merchants Telemarketing with Synthetic Data-Driven LLMs
EMNLP 2025
ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs
EMNLP 2025
Harnessing Massive Satellite Imagery with Efficient Masked Image Modeling
ICCV 2025
Effective and Efficient Time-Varying Counterfactual Prediction with State-Space Models
ICLR 2025
Transformer-Based Spatial-Temporal Counterfactual Outcomes Estimation
ICML 2025
Scaling Few-Shot Learning for the Open World
AAAI 2024
Integrating Intent Understanding and Optimal Behavior Planning for Behavior Tree Generation from Human Instructions
IJCAI 2024
Unveiling Causal Reasoning in Large Language Models: Reality or Mirage?
NIPS 2024
Sequential Fusion Based Multi-Granularity Consistency for Space-Time Transformer Tracking
AAAI 2024
SODA: Robust Training of Test-Time Data Adaptors
NIPS 2023
Domain Specified Optimization for Deployment Authorization
ICCV 2023
MagicFusion: Boosting Text-to-Image Generation Performance by Fusing Diffusion Models
ICCV 2023
Meta Discovery: Learning to Discover Novel Classes given Very Limited Data
ICLR 2022
Conditional Variational Capsule Network for Open Set Recognition
ICCV 2021
TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation
NIPS 2021
BT Expansion: a Sound and Complete Algorithm for Behavior Planning of Intelligent Robots with Behavior Trees
AAAI 2021
Dec-SGTS: Decentralized Sub-Goal Tree Search for Multi-Agent Coordination
AAAI 2021
Graph Adversarial Self-Supervised Learning
NIPS 2021
Integrating Decision Sharing with Prediction in Decentralized Planning for Multi-Agent Coordination under Uncertainty
IJCAI 2019