Shimin Di

According to our database, Shimin Di authored at least 15 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

Search to Fine-tune Pre-trained Graph Neural Networks for Graph-level Tasks.

Zhili Wang, Shimin Di, Lei Chen, Xiaofang Zhou

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