Yujie Wang
29 papers · 2017–2026 · 16 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (12) π§ Keyword Pioneer π Conference Polyglot (15) π Academic Marathon (9) π Renaissance Researcher (8)
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Renaissance Researcher
(8)
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Interdisciplinary Bridge
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Taxonomy Completionist
(68)
π§¬
Topic Evolution
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Grand Slam
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Prolific Year
(7)
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Century Club
(26)
π₯
Unstoppable
(5)
ποΈ
Keyword Collector
(136)
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Trend Setter
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Conference Pioneer
Conferences
ACL (5)
CVPR (5)
EMNLP (3)
AAAI (2)
ICCV (2)
MICCAI (2)
AISTATS (1)
COLING (1)
EACL (1)
ECCV (1)
ICLR (1)
ICML (1)
NAACL (1)
NIPS (1)
SEMEVAL (1)
WACV (1)
Top co-authors
Keywords
object detection
(3)
contrastive learning
(3)
knowledge graph
(2)
definition modeling
(2)
graph neural network
(2)
model compression
(2)
neural network optimization
(2)
word embedding
(2)
heterogeneous graph
(2)
semi-supervised learning
(1)
face detection
(1)
causal inference
(1)
video generation
(1)
optimal transport
(1)
image restoration
(1)
manifold learning
(1)
representation learning
(1)
explainable question answering
(1)
information retrieval
(1)
social media analysis
(1)
Papers
Enabling High-Quality In-the-Wild Imaging from Severely Aberrated Metalens Bursts
WACV 2026
Sparse Brains are Also Adaptive Brains: Cognitive-Load-Aware Dynamic Activation for LLMs
EACL 2026
Suggest-Verify-Revise: A Three-Stage Document-Level Event Causality Identification with Narrative Consistency
ACL 2026
AEGIS: A Holistic Benchmark for Evaluating Forensic Analysis of AI-Generated Academic Images
ACL 2026
Evaluating Cognitive-Behavioral Fixation via Multimodal User Viewing Patterns on Social Media
EMNLP 2025
Training-free and Adaptive Sparse Attention for Efficient Long Video Generation
ICCV 2025
Pioneer: Physics-informed Riemannian Graph ODE for Entropy-increasing Dynamics
AAAI 2025
Enhancing Event Causality Identification with LLM Knowledge and Concept-Level Event Relations
COLING 2025
DOF-GS: Adjustable Depth-of-Field 3D Gaussian Splatting for Post-Capture Refocusing, Defocus Rendering and Blur Removal
CVPR 2025
One-shot 3D Object Canonicalization based on Geometric and Semantic Consistency
CVPR 2025
Dynamic Energy-Based Contrastive Learning with Multi-Stage Knowledge Verification for Event Causality Identification
EMNLP 2025
NetMoE: Accelerating MoE Training through Dynamic Sample Placement
ICLR 2025
SAM2-ProMem: Enhancing Zero-Shot 3D Segmentation with Stochastic Propagation and Memory Search
MICCAI 2025
FRVA: Fact-Retrieval and Verification Augmented Entailment Tree Generation for Explainable Question Answering
ACL 2024
Hyperspherical Multi-Prototype with Optimal Transport for Event Argument Extraction
ACL 2024
LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph Clustering
ICML 2024
Striving for Simplicity: Simple Yet Effective Prior-Aware Pseudo-Labeling for Semi-Supervised Ultrasound Image Segmentation
MICCAI 2024
DocSplit: Simple Contrastive Pretraining for Large Document Embeddings
EMNLP 2023
Dynamic Heterogeneous-Graph Reasoning with Language Models and Knowledge Representation Learning for Commonsense Question Answering
ACL 2023
Knowledge Distillation for Object Detection via Rank Mimicking and Prediction-Guided Feature Imitation
AAAI 2022
DTG-SSOD: Dense Teacher Guidance for Semi-Supervised Object Detection
NIPS 2022
PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised Object Detection
ECCV 2022
Global Context With Discrete Diffusion in Vector Quantised Modelling for Image Generation
CVPR 2022
BLCU-ICALL at SemEval-2022 Task 1: Cross-Attention Multitasking Framework for Definition Modeling
NAACL 2022
BLCU-ICALL at SemEval-2022 Task 1: Cross-Attention Multitasking Framework for Definition Modeling
SEMEVAL 2022
The Tree Loss: Improving Generalization with Many Classes
AISTATS 2022
DMCP: Differentiable Markov Channel Pruning for Neural Networks
CVPR 2020
Beyond Trade-Off: Accelerate FCN-Based Face Detector With Higher Accuracy
CVPR 2018
Flow-Guided Feature Aggregation for Video Object Detection
ICCV 2017