Yongshun Gong
21 papers · 2020–2026 · 5 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (5) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (5) π Cross-Pollinator (11)
π
Renaissance Researcher
(8)
πΊοΈ
Taxonomy Completionist
(53)
π
Conference Polyglot
(5)
π
Keyword Champion
π
Century Club
(19)
ποΈ
Keyword Collector
(119)
β‘
Prolific Year
(7)
Conferences
IJCAI (7)
AAAI (6)
CVPR (4)
ACL (3)
NIPS (1)
Top co-authors
Keywords
representation learning
(3)
3d vision
(3)
point cloud
(3)
multimodal learning
(2)
urban computing
(2)
multi-view learning
(2)
feature fusion
(2)
diffusion model
(2)
feature extraction
(2)
large language model
(2)
domain generalization
(1)
self-supervised learning
(1)
attention mechanism
(1)
knowledge transfer
(1)
prototype learning
(1)
multi-task learning
(1)
contrastive learning
(1)
feature registration
(1)
point cloud registration
(1)
semantic segmentation
(1)
Papers
Retriever Encoder Selection Matters for In-Context Learning-based Medical Segmentation
AAAI 2026
Enhancing the Transferability of Jailbreak Attacks on Large Language Models via Exploiting Reparameterization Invariance
ACL 2026
An End-to-End Robust Point Cloud Semantic Segmentation Network with Single-Step Conditional Diffusion Models
CVPR 2025
PSReg: Prior-guided Sparse Mixture of Experts for Point Cloud Registration
AAAI 2025
Content-aware Balanced Spectrum Encoding in Masked Modeling for Time Series Classification
AAAI 2025
CodeV: Issue Resolving with Visual Data
ACL 2025
SeqMvRL: A Sequential Fusion Framework for Multi-view Representation Learning
CVPR 2025
Towards Region-Adaptive Feature Disentanglement and Enhancement for Small Object Detection
IJCAI 2025
CAN-ST: Clustering Adaptive Normalization for Spatio-temporal OOD Learning
IJCAI 2025
Spatio-temporal Prototype-based Hierarchical Learning for OD Demand Prediction
IJCAI 2025
Point Cloud Pre-training with Diffusion Models
CVPR 2024
Urban Region Embedding via Multi-View Contrastive Prediction
AAAI 2024
Exploring Channel-Aware Typical Features for Out-of-Distribution Detection
AAAI 2024
Learning Hierarchy-Enhanced POI Category Representations Using Disentangled Mobility Sequences
IJCAI 2024
Exploring Urban Semantics: A Multimodal Model for POI Semantic Annotation with Street View Images and Place Names
IJCAI 2024
CodeM: Less Data Yields More Versatility via Ability Matrix
ACL 2024
3DBench: A Scalable 3D Benchmark and Instruction-Tuning Dataset
IJCAI 2024
Exploring Domain-Invariant Parameters for Source Free Domain Adaptation
CVPR 2022
A Spatial Missing Value Imputation Method for Multi-view Urban Statistical Data
IJCAI 2020
Field-wise Learning for Multi-field Categorical Data
NIPS 2020
Potential Passenger Flow Prediction: A Novel Study for Urban Transportation Development
AAAI 2020