Shimin Di

According to our database, Shimin Di authored at least 25 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Fight Fire with Fire: Towards Robust Graph Neural Networks on Dynamic Graphs via Actively Defense.

Haoyang Li, Shimin Di, Calvin Hong Yi Li, Lei Chen, Xiaofang Zhou

Proc. VLDB Endow., April, 2024

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

Jialiang Wang, Ning Zhang, Shimin Di, Ruidong Wang, Lei Chen

CoRR, 2024

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

Jialiang Wang, Shimin Di, Hanmo Liu, Zhili Wang, Jiachuan Wang, Lei Chen, Xiaofang Zhou

CoRR, 2024

Cardinality Estimation on Hyper-relational Knowledge Graphs.

Fei Teng, Haoyang Li, Shimin Di, Lei Chen

CoRR, 2024

Learning from Emergence: A Study on Proactively Inhibiting the Monosemantic Neurons of Artificial Neural Networks.

Jiachuan Wang, Shimin Di, Lei Chen, Charles Wang Wai Ng

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.

Ran Li, Shimin Di, Lei Chen, Xiaofang Zhou

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.

Zhili Wang, Shimin Di, Lei Chen, Xiaofang Zhou

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Effective Data Selection and Replay for Unsupervised Continual Learning.

Hanmo Liu, Shimin Di, Haoyang Li, Shuangyin Li, Lei Chen, Xiaofang Zhou

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

E²GCL: Efficient and Expressive Contrastive Learning on Graph Neural Networks.

Haoyang Li, Shimin Di, Lei Chen, Xiaofang Zhou

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

GradGCL: Gradient Graph Contrastive Learning.

Ran Li, Shimin Di, Lei Chen, Xiaofang Zhou

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

A Universal and Interpretable Method for Enhancing Stock Price Prediction.

Yuchen Liu, Shimin Di, Lei Chen, Xiaofang Zhou, Fei Lin

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Incremental Tabular Learning on Heterogeneous Feature Space.

Hanmo Liu, Shimin Di, Lei Chen

Proc. ACM Manag. Data, 2023

Single-Cell RNA-seq Synthesis with Latent Diffusion Model.

Yixuan Wang, Shuangyin Li, Shimin Di, Lei Chen

CoRR, 2023

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

Jiachuan Wang, Shimin Di, Lei Chen, Charles Wang Wai Ng

CoRR, 2023

Message Function Search for Knowledge Graph Embedding.

Shimin Di, Lei Chen

Proceedings of the ACM Web Conference 2023, 2023

A Message Passing Neural Network Space for Better Capturing Data-dependent Receptive Fields.

Zhili Wang, Shimin Di, Lei Chen

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.

Jiachuan Wang, Shimin Di, Lei Chen, Charles Wang Wai Ng

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Revisiting Injective Attacks on Recommender Systems.

Haoyang Li, Shimin Di, Lei Chen

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.

Haoyang Li, Shimin Di, Zijian Li, Lei Chen, Jiannong Cao

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

Searching to Sparsify Tensor Decomposition for N-ary Relational Data.

Shimin Di, Quanming Yao, Lei Chen

Proceedings of the WWW '21: The Web Conference 2021, 2021

FluxEV: A Fast and Effective Unsupervised Framework for Time-Series Anomaly Detection.

Jia Li, Shimin Di, Yanyan Shen, Lei Chen

Proceedings of the WSDM '21, 2021

AutoGEL: An Automated Graph Neural Network with Explicit Link Information.

Zhili Wang, Shimin Di, Lei Chen

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.

Shimin Di, Quanming Yao, Yongqi Zhang, Lei Chen

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2019

Relation Extraction via Domain-aware Transfer Learning.

Shimin Di, Yanyan Shen, Lei Chen

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

Transfer Learning via Feature Isomorphism Discovery.

Shimin Di, Jingshu Peng, Yanyan Shen, Lei Chen

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018