Qianying Wang
19 papers · 2020–2026 · 6 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (6) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (5)
🌈
Renaissance Researcher
(8)
🌍
Conference Polyglot
(6)
🏃
Academic Marathon
(5)
🤝
Dynamic Duo
(11)
🔥
Unstoppable
(6)
💎
Century Club
(18)
⚡
Prolific Year
(6)
🗃️
Keyword Collector
(98)
Conferences
AAAI (7)
EMNLP (4)
CVPR (3)
IJCAI (2)
NIPS (2)
ACL (1)
Top co-authors
Research topics
Keywords
generalized category discovery
(5)
attention mechanism
(4)
category discovery
(4)
semi-supervised learning
(3)
semantic similarity
(3)
transfer learning
(3)
knowledge transfer
(2)
prototype learning
(2)
novel category detection
(2)
contrastive learning
(2)
text recognition
(2)
visual grounding
(2)
end-to-end learning
(2)
novel category
(2)
self-supervised learning
(1)
mathematical reasoning
(1)
feature learning
(1)
logical reasoning
(1)
representation learning
(1)
cluster analysis
(1)
Papers
ST-SAM: Multimodal Scene Text Segmentation with Dense Visual and Sparse Textual Prompts via SAM
AAAI 2026
GBC-Splat: Generalizable Gaussian-Based Clothed Human Digitalization under Sparse RGB Cameras
CVPR 2025
Unleashing the Potential of Model Bias for Generalized Category Discovery
AAAI 2025
Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention
CVPR 2025
Generalized Category Discovery with Large Language Models in the Loop
ACL 2024
Flipped Classroom: Aligning Teacher Attention with Student in Generalized Category Discovery
NIPS 2024
E-GPS: Explainable Geometry Problem Solving via Top-Down Solver and Bottom-Up Generator
CVPR 2024
Schedule Your Edit: A Simple yet Effective Diffusion Noise Schedule for Image Editing
NIPS 2024
Transfer and Alignment Network for Generalized Category Discovery
AAAI 2024
A Unified Knowledge Transfer Network for Generalized Category Discovery
AAAI 2024
Generalized Category Discovery with Decoupled Prototypical Network
AAAI 2023
A Diffusion Weighted Graph Framework for New Intent Discovery
EMNLP 2023
DNA: Denoised Neighborhood Aggregation for Fine-grained Category Discovery
EMNLP 2023
Diagram Visual Grounding: Learning to See with Gestalt-Perceptual Attention
IJCAI 2023
Fine-grained Category Discovery under Coarse-grained supervision with Hierarchical Weighted Self-contrastive Learning
EMNLP 2022
Inductive Relation Prediction with Logical Reasoning Using Contrastive Representations
EMNLP 2022
MatchVIE: Exploiting Match Relevancy between Entities for Visual Information Extraction
IJCAI 2021
Towards Robust Visual Information Extraction in Real World: New Dataset and Novel Solution
AAAI 2021
Decoupled Attention Network for Text Recognition
AAAI 2020