Cheng Ji

Orcid: 0000-0003-2513-3822

Affiliations:
  • Beihang University, Beijing, China


According to our database1, Cheng Ji authored at least 30 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2019
2020
2021
2022
2023
2024
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5
10
5
5
1
7
6
4
1
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Triplet-aware graph neural networks for factorized multi-modal knowledge graph entity alignment.
Neural Networks, 2024

Graph Size-imbalanced Learning with Energy-guided Structural Smoothing.
CoRR, 2024

DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models.
CoRR, 2024

Variational Multi-Modal Hypergraph Attention Network for Multi-Modal Relation Extraction.
CoRR, 2024

Uncertainty-Aware Relational Graph Neural Network for Few-Shot Knowledge Graph Completion.
CoRR, 2024

Dynamic Graph Information Bottleneck.
Proceedings of the ACM on Web Conference 2024, 2024

GC-Bench: An Open and Unified Benchmark for Graph Condensation.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Multi-Modal Inductive Framework for Text-Video Retrieval.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

LLM-based Multi-Level Knowledge Generation for Few-shot Knowledge Graph Completion.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Few-Shot Multimodal Named Entity Recognition Based on Mutlimodal Causal Intervention Graph.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

L-APPLE: Language-agnostic Prototype Prefix Learning for Cross-lingual Event Detection.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

ReGCL: Rethinking Message Passing in Graph Contrastive Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Higher-order memory guided temporal random walk for dynamic heterogeneous network embedding.
Pattern Recognit., November, 2023

Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems.
ACM Trans. Web, August, 2023

Adaptive curvature exploration geometric graph neural network.
Knowl. Inf. Syst., May, 2023

Dual-Gated Fusion with Prefix-Tuning for Multi-Modal Relation Extraction.
CoRR, 2023

A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT.
CoRR, 2023

Attribute-Consistent Knowledge Graph Representation Learning for Multi-Modal Entity Alignment.
Proceedings of the ACM Web Conference 2023, 2023

Unbiased and Efficient Self-Supervised Incremental Contrastive Learning.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Does Graph Distillation See Like Vision Dataset Counterpart?
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multi-Modal Knowledge Graph Transformer Framework for Multi-Modal Entity Alignment.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Dual-Gated Fusion with Prefix-Tuning for Multi-Modal Relation Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Curvature Graph Generative Adversarial Networks.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

MuchSUM: Multi-channel Graph Neural Network for Extractive Summarization.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Graph Structure Learning with Variational Information Bottleneck.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
RWNE: A Scalable Random-Walk based Network Embedding Framework with Personalized Higher-order Proximity Preserved.
J. Artif. Intell. Res., 2021

ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network.
Proceedings of the IEEE International Conference on Data Mining, 2021

2019
HeteSpaceyWalk: A Heterogeneous Spacey Random Walk for Heterogeneous Information Network Embedding.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019


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