Yuan Yuan
51 papers · 2017–2026 · 13 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (8) π Conference Polyglot (13) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (14)
π
Cross-Pollinator
(14)
π
Renaissance Researcher
(10)
πΊοΈ
Taxonomy Completionist
(96)
π
Keyword Champion
(2)
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Grand Slam
π§¬
Topic Evolution
β
The Questioner
ποΈ
Keyword Collector
(222)
π
Century Club
(47)
π₯
Unstoppable
(5)
β‘
Prolific Year
(13)
π
Conference Pioneer
Conferences
AAAI (16)
CVPR (8)
IJCAI (6)
EMNLP (4)
ICLR (3)
ICML (3)
NIPS (3)
ECCV (2)
WACV (2)
ACL (1)
ICCV (1)
MLHC (1)
NAACL (1)
Top co-authors
Research topics
Keywords
semantic segmentation
(4)
self-supervised learning
(4)
large language model
(4)
image restoration
(4)
contrastive learning
(4)
convolutional neural network
(4)
representation learning
(4)
graph neural network
(4)
cross-modal learning
(3)
domain adaptation
(3)
feature learning
(2)
object localization
(2)
teacher-student learning
(2)
parameter efficient
(2)
multimodal learning
(2)
text generation
(2)
content moderation
(2)
object detection
(2)
feature extraction
(2)
factual error correction
(2)
Papers
BLM-Guard: Explainable Multimodal Ad Moderation with Chain-of-Thought and Policy-Aligned Rewards
AAAI 2026
FreeGaussian: Annotation-free Control of Articulated Objects via 3D Gaussian Splats with Flow Derivatives
AAAI 2026
ConInstruct: Evaluating Large Language Models on Conflict Detection and Resolution in Instructions
AAAI 2026
DGTF: Cross-Domain Decentralized Graph Learning with Topology-Aware Knowledge Fusion
AAAI 2026
AdDriftBench: A Benchmark for Detecting Data Drift and Label Drift in Short Video Advertising
EMNLP 2025
Adv-CPG: A Customized Portrait Generation Framework with Facial Adversarial Attacks
CVPR 2025
TurnaboutLLM: A Deductive Reasoning Benchmark from Detective Games
EMNLP 2025
Enhancing Low-Rank Adaptation with Recoverability-Based Reinforcement Pruning for Object Counting
AAAI 2025
NightHaze: Nighttime Image Dehazing via Self-Prior Learning
AAAI 2025
Semantic Segmentation on Raindrop Degraded Images Using Two-Stage Dual Teacher-Student Learning
AAAI 2025
Edge Contrastive Learning: An Augmentation-Free Graph Contrastive Learning Model
AAAI 2025
Multilingual Retrieval Augmented Generation for Culturally-Sensitive Tasks: A Benchmark for Cross-lingual Robustness
ACL 2025
Reinforcement Learning with Adaptive Reward Modeling for Expensive-to-Evaluate Systems
ICML 2025
Towards Rationality in Language and Multimodal Agents: A Survey
NAACL 2025
How Distributed Collaboration Influences the Diffusion Model Training? A Theoretical Perspective
ICML 2025
PDUDT: Provable Decentralized Unlearning under Dynamic Topologies
ICML 2025
ControlText: Unlocking Controllable Fonts in Multilingual Text Rendering without Font Annotations
EMNLP 2025
NightRain: Nighttime Video Deraining via Adaptive-Rain-Removal and Adaptive-Correction
AAAI 2024
End-to-End Video Semantic Segmentation in Adverse Weather using Fusion Blocks and Temporal-Spatial Teacher-Student Learning
NIPS 2024
DeS3: Adaptive Attention-Driven Self and Soft Shadow Removal Using ViT Similarity
AAAI 2024
Semantic Segmentation in Multiple Adverse Weather Conditions with Domain Knowledge Retention
AAAI 2024
Mono3DVG: 3D Visual Grounding in Monocular Images
AAAI 2024
HEAP: Unsupervised Object Discovery and Localization with Contrastive Grouping
AAAI 2024
Improving Factual Error Correction by Learning to Inject Factual Errors
AAAI 2024
Cyclic Learning for Binaural Audio Generation and Localization
CVPR 2024
Dual-Rain: Video Rain Removal using Assertive and Gentle Teachers
ECCV 2024
Continuous Invariance Learning
ICLR 2024
Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation
ICLR 2024
MetaISP: Efficient RAW-to-sRGB Mappings with Merely 1M Parameters
IJCAI 2024
Multi-level Graph Contrastive Prototypical Clustering
IJCAI 2023
PivotFEC: Enhancing Few-shot Factual Error Correction with a Pivot Task Approach using Large Language Models
EMNLP 2023
Addressing Feature Suppression in Unsupervised Visual Representations
WACV 2023
Contactless Oxygen Monitoring with Radio Waves and Gated Transformer
MLHC 2023
Targeted Supervised Contrastive Learning for Long-Tailed Recognition
CVPR 2022
EMGCΒ²F: Efficient Multi-view Graph Clustering with Comprehensive Fusion
IJCAI 2022
Intelligence in Strategic Games (Extended Abstract)
IJCAI 2022
Unsupervised Learning for Human Sensing Using Radio Signals
WACV 2022
Self-Supervised Transformers for Unsupervised Object Discovery Using Normalized Cut
CVPR 2022
Efficient Dynamic Scene Deblurring Using Spatially Variant Deconvolution Network With Optical Flow Guided Training
CVPR 2020
Variational Context-Deformable ConvNets for Indoor Scene Parsing
CVPR 2020
Subgroup-based Rank-1 Lattice Quasi-Monte Carlo
NIPS 2020
Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning
NIPS 2020
In-Home Daily-Life Captioning Using Radio Signals
ECCV 2020
Learning Longterm Representations for Person Re-Identification Using Radio Signals
CVPR 2020
Learning From Synthetic Data for Crowd Counting in the Wild
CVPR 2019
Memory-Augmented Temporal Dynamic Learning for Action Recognition
AAAI 2019
MARGINALIZED AVERAGE ATTENTIONAL NETWORK FOR WEAKLY-SUPERVISED LEARNING
ICLR 2019
ACM: Adaptive Cross-Modal Graph Convolutional Neural Networks for RGB-D Scene Recognition
AAAI 2019
JM-Net and Cluster-SVM for Aerial Scene Classification
IJCAI 2017
Temporal Dynamic Graph LSTM for Action-Driven Video Object Detection
ICCV 2017
Convolutional 2D LDA for Nonlinear Dimensionality Reduction
IJCAI 2017