Cheng Ji
18 papers · 2022–2026 · 7 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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π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (39) π Conference Polyglot Β· Silver π€ Dynamic Duo (12) π Keyword Champion (2)
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Century Club Β· Bronze
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Keyword Collector
(94)
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Renaissance Researcher
(6)
Top co-authors
Research topics
Machine Learning
(14)
Deep Learning
(9)
Learning Types Β· Machine Learning
(9)
Architectures
(8)
Core Methods
(8)
Application Areas
(7)
Artificial Intelligence
(6)
Learning Types Β· Deep Learning
(6)
Natural Language Processing
(5)
Core AI
(4)
Learning Paradigms
(3)
Applications
(2)
Bayesian & Probabilistic
(2)
Optimization & Theory
(2)
Resources & Methods
(2)
Keywords
graph neural network
(6)
large language model
(3)
multimodal learning
(3)
self-supervised learning
(3)
multimodal relation extraction
(2)
graph condensation
(2)
infonce loss
(2)
dynamic graph
(2)
entity alignment
(2)
graph contrastive learning
(2)
variational inference
(2)
transfer learning
(2)
graph representation learning
(2)
message passing
(2)
node classification
(2)
causal inference
(2)
graph structure learning
(2)
dynamic graph neural network
(2)
few-shot learning
(2)
graph classification
(1)
Papers
Multi-Modal Fact Knowledge Generation for Imbalanced Cross-Source Entity Alignment
AAAI 2026
SCo-Cloud: Satellite Constellation Collaboration for Cloud-Aware Onboard-Computed Imaging and Transmission
AAAI 2026
DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models
AAAI 2025
Improving Model Probability Calibration by Integration of Large Data Sources with Biased Labels
AAAI 2025
Multimodal Knowledge Retrieval-Augmented Iterative Alignment for Satellite Commonsense Conversation
IJCAI 2025
OS-GCL: A One-Shot Learner in Graph Contrastive Learning
IJCAI 2025
ST-GCond: Self-supervised and Transferable Graph Dataset Condensation
ICLR 2025
Variational Multi-Modal Hypergraph Attention Network for Multi-Modal Relation Extraction
IJCAI 2025
Few-Shot Multimodal Named Entity Recognition Based on Mutlimodal Causal Intervention Graph
COLING 2024
GC-Bench: An Open and Unified Benchmark for Graph Condensation
NeurIPS 2024
LLM-based Multi-Level Knowledge Generation for Few-shot Knowledge Graph Completion
IJCAI 2024
ReGCL: Rethinking Message Passing in Graph Contrastive Learning
AAAI 2024
SwitchTab: Switched Autoencoders Are Effective Tabular Learners
AAAI 2024
Does Graph Distillation See Like Vision Dataset Counterpart?
NeurIPS 2023
Dual-Gated Fusion with Prefix-Tuning for Multi-Modal Relation Extraction
ACL 2023
Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization
NeurIPS 2023
Multi-Modal Knowledge Graph Transformer Framework for Multi-Modal Entity Alignment
EMNLP 2023
Graph Structure Learning with Variational Information Bottleneck
AAAI 2022