Shimin Di

Orcid: 0000-0002-7394-0082

According to our database1, Shimin Di authored at least 24 papers between 2018 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Fight Fire with Fire: Towards Robust Graph Neural Networks on Dynamic Graphs via Actively Defense.
Proc. VLDB Endow., April, 2024

Class-aware and Augmentation-free Contrastive Learning from Label Proportion.
CoRR, 2024

Computation-friendly Graph Neural Network Design by Accumulating Knowledge on Large Language Models.
CoRR, 2024

Cardinality Estimation on Hyper-relational Knowledge Graphs.
CoRR, 2024

Learning from Emergence: A Study on Proactively Inhibiting the Monosemantic Neurons of Artificial Neural Networks.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

SimDiff: Simple Denoising Probabilistic Latent Diffusion Model for Data Augmentation on Multi-modal Knowledge Graph.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Search to Fine-Tune Pre-Trained Graph Neural Networks for Graph-Level Tasks.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Effective Data Selection and Replay for Unsupervised Continual Learning.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

E<sup>2</sup>GCL: Efficient and Expressive Contrastive Learning on Graph Neural Networks.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

GradGCL: Gradient Graph Contrastive Learning.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023
Incremental Tabular Learning on Heterogeneous Feature Space.
Proc. ACM Manag. Data, 2023

Single-Cell RNA-seq Synthesis with Latent Diffusion Model.
CoRR, 2023

Emergence Learning: A Rising Direction from Emergent Abilities and a Monosemanticity-Based Study.
CoRR, 2023

Message Function Search for Knowledge Graph Embedding.
Proceedings of the ACM Web Conference 2023, 2023

A Message Passing Neural Network Space for Better Capturing Data-dependent Receptive Fields.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Noise2Info: Noisy Image to Information of Noise for Self-Supervised Image Denoising.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Revisiting Injective Attacks on Recommender Systems.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Black-box Adversarial Attack and Defense on Graph Neural Networks.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021
Searching to Sparsify Tensor Decomposition for N-ary Relational Data.
Proceedings of the WWW '21: The Web Conference 2021, 2021

FluxEV: A Fast and Effective Unsupervised Framework for Time-Series Anomaly Detection.
Proceedings of the WSDM '21, 2021

AutoGEL: An Automated Graph Neural Network with Explicit Link Information.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Efficient Relation-aware Scoring Function Search for Knowledge Graph Embedding.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2019
Relation Extraction via Domain-aware Transfer Learning.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018
Transfer Learning via Feature Isomorphism Discovery.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018


  Loading...