Chang Tang
23 papers · 2015–2026 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (36) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§
Keyword Pioneer
π¬
Deep Specialist
(13)
π€
Dynamic Duo
(14)
π
Renaissance Researcher
(7)
β‘
Prolific Year Β· Productive
π
Conference Pioneer
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(102)
Top co-authors
Research topics
Machine Learning
(17)
Core Methods
(17)
Deep Learning
(9)
Architectures
(8)
Learning Types Β· Machine Learning
(7)
Computer Vision
(6)
Artificial Intelligence
(4)
Analysis
(4)
Data Science & Analytics
(3)
Applications
(3)
Core AI
(3)
Learning Types Β· Deep Learning
(3)
Mathematics & Optimization
(2)
Domain-Specific
(2)
Computer Science
(1)
Keywords
multi-view clustering
(6)
graph convolutional network
(3)
feature aggregation
(3)
incomplete multi-view clustering
(3)
graph neural network
(3)
kernel k-mean
(2)
consensus clustering
(2)
unsupervised learning
(2)
multi-scale feature
(2)
semantic segmentation
(2)
spatial transcriptomics
(2)
recurrent neural network
(2)
action recognition
(2)
consensus representation
(2)
gene expression
(2)
multi-view learning
(2)
contrastive learning
(2)
similarity matrix
(2)
feature fusion
(2)
defocus blur detection
(2)
Papers
CLUENet: Cluster Attention Makes Neural Networks Have Eyes
AAAI 2026
PLA-MGRA: Multi-Granularity and Relation-Aware Learning for Efficient and Generalizable Protein-Ligand Binding Affinity Prediction
AAAI 2026
SGAT: Learning Feature Matching with Singularity-enhanced Graph Attention Network
AAAI 2026
When Genes Speak: A Semantic-Guided Framework for Spatially Resolved Transcriptomics Data Clustering
AAAI 2026
Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language Models
ICML 2025
LRGR: Self-Supervised Incomplete Multi-View Clustering via Local Refinement and Global Realignment
IJCAI 2025
PolyMamba: Spatial-prior Guided Mamba for Polyp Segmentation with High-Frequency Enhancement
MICCAI 2025
Spatially Resolved Transcriptomics Data Clustering with Tailored Spatial-scale Modulation
IJCAI 2025
Structure-Adaptive Multi-View Graph Clustering for Remote Sensing Data
AAAI 2025
Sample-Level Cross-View Similarity Learning for Incomplete Multi-View Clustering
AAAI 2024
GCFAgg: Global and Cross-View Feature Aggregation for Multi-View Clustering
CVPR 2023
Multi-Level Confidence Learning for Trustworthy Multimodal Classification
AAAI 2023
Hyperspectral Band Selection via Spatial-Spectral Weighted Region-wise Multiple Graph Fusion-Based Spectral Clustering
IJCAI 2021
Localized Simple Multiple Kernel K-Means
ICCV 2021
One Pass Late Fusion Multi-view Clustering
ICML 2021
CGD: Multi-View Clustering via Cross-View Graph Diffusion
AAAI 2020
RΒ²MRF: Defocus Blur Detection via Recurrently Refining Multi-Scale Residual Features
AAAI 2020
Cross-View Local Structure Preserved Diversity and Consensus Learning for Multi-View Unsupervised Feature Selection
AAAI 2019
DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Multi-Scale Deep Features
CVPR 2019
Efficient and Effective Incomplete Multi-View Clustering
AAAI 2019
Multi-view Clustering via Late Fusion Alignment Maximization
IJCAI 2019
Scene Flow to Action Map: A New Representation for RGB-D Based Action Recognition With Convolutional Neural Networks
CVPR 2017
Beyond Covariance: Feature Representation With Nonlinear Kernel Matrices
ICCV 2015