Yu Jiang
18 papers · 2018–2026 · 10 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (39) π Conference Polyglot Β· Gold π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Grand Slam
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Topic Evolution
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Mega-Team Β· Squad
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Conference Pioneer
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The Questioner
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Renaissance Researcher
(7)
ποΈ
Keyword Collector
(81)
Venues
Top co-authors
Research topics
Deep Learning
(8)
Machine Learning
(7)
Computer Vision
(5)
Architectures
(5)
Artificial Intelligence
(4)
Analysis
(3)
Core AI
(3)
Core Methods
(3)
Learning Types Β· Deep Learning
(3)
Computer Science
(2)
Mathematics & Optimization
(2)
Natural Language Processing
(2)
Application Areas
(2)
Learning Types Β· Machine Learning
(2)
Models
(2)
Keywords
large language model
(2)
integer programming
(2)
combinatorial optimization
(2)
3d reconstruction
(1)
domain generalization
(1)
large-scale optimization
(1)
metric learning
(1)
scene understanding
(1)
subspace learning
(1)
curriculum learning
(1)
object detection
(1)
visual question answering
(1)
event camera
(1)
knowledge distillation
(1)
image reconstruction
(1)
multimodal learning
(1)
sign language translation
(1)
reading comprehension
(1)
imperfect information
(1)
transfer learning
(1)
Papers
Evaluating the Expressive Appropriateness of Speech in Rich Contexts
ACL 2026
HumanPro: Single-view 3D Clothed Human Reconstruction with Progressive Normal Guidance
AAAI 2026
HyperSign: Hierarchical Hypergraph-based Co-occurrence Modeling for Sign Language Recognition and Translation
AAAI 2026
Mining Attribute Subspaces for Efficient Fine-tuning of 3D Foundation Models
CVPR 2026
RiskLab: A Controlled Toolkit for Probing Emergent Risks in LLM-Based Multi-Agent Systems
ACL 2026
USEC: A User-Requirement-Driven Mandatory Access Control Framework for Operating Systems (Operational Systems)
OSDI 2026
iG-6DoF: Model-free 6DoF Pose Estimation for Unseen Object via Iterative 3D Gaussian Splatting
CVPR 2025
At Which Training Stage Does Code Data Help LLMs Reasoning?
ICLR 2024
F2TNet: FMRI to T1w MRI Knowledge Transfer Network for Brain Multi-phenotype Prediction
MICCAI 2024
GBT: Geometric-oriented Brain Transformer for Autism Diagnosis
MICCAI 2024
Hierarchical Graph Learning with Small-World Brain Connectomes for Cognitive Prediction
MICCAI 2024
Adaptive Constraint Partition Based Optimization Framework for Large-Scale Integer Linear Programming (Student Abstract)
AAAI 2023
GNN&GBDT-Guided Fast Optimizing Framework for Large-scale Integer Programming
ICML 2023
Self-Paced Learning Based Graph Convolutional Neural Network for Mixed Integer Programming (Student Abstract)
AAAI 2023
Event Stream Super-Resolution via Spatiotemporal Constraint Learning
ICCV 2021
Joint Policy Search for Multi-agent Collaboration with Imperfect Information
NeurIPS 2020
Towards VQA Models That Can Read
CVPR 2019
Iterative Metric Learning for Imbalance Data Classification
IJCAI 2018