Shimin Di

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 26

Top Topics

Graph Embedding

Transfer Learning

Top Venues

Publications

Haoyang Li, Shimin Di, Calvin Hong Yi Li, Lei Chen, Xiaofang Zhou
Fight Fire with Fire: Towards Robust Graph Neural Networks on Dynamic Graphs via Actively Defense. Proc. VLDB Endow. 17 (8) (2024)
Ran Li, Shimin Di, Lei Chen, Xiaofang Zhou
SimDiff: Simple Denoising Probabilistic Latent Diffusion Model for Data Augmentation on Multi-modal Knowledge Graph. KDD (2024)
Hanmo Liu, Shimin Di, Haoyang Li, Shuangyin Li, Lei Chen, Xiaofang Zhou
Effective Data Selection and Replay for Unsupervised Continual Learning. ICDE (2024)
Fei Teng, Haoyang Li, Shimin Di, Lei Chen
Cardinality Estimation on Hyper-relational Knowledge Graphs. CoRR (2024)
Haoyang Li, Shimin Di, Lei Chen, Xiaofang Zhou
GCL: Efficient and Expressive Contrastive Learning on Graph Neural Networks. ICDE (2024)
Ran Li, Shimin Di, Lei Chen, Xiaofang Zhou
GradGCL: Gradient Graph Contrastive Learning. ICDE (2024)
Jiachuan Wang, Shimin Di, Lei Chen, Charles Wang Wai Ng
Learning from Emergence: A Study on Proactively Inhibiting the Monosemantic Neurons of Artificial Neural Networks. KDD (2024)
Zhili Wang, Shimin Di, Lei Chen, Xiaofang Zhou
Search to Fine-Tune Pre-Trained Graph Neural Networks for Graph-Level Tasks. ICDE (2024)
Zhili Wang, Shimin Di, Lei Chen, Xiaofang Zhou
Search to Fine-tune Pre-trained Graph Neural Networks for Graph-level Tasks. CoRR (2023)
Yixuan Wang, Shuangyin Li, Shimin Di, Lei Chen
Single-Cell RNA-seq Synthesis with Latent Diffusion Model. CoRR (2023)
Shimin Di, Lei Chen
Message Function Search for Knowledge Graph Embedding. WWW (2023)
Zhili Wang, Shimin Di, Lei Chen
A Message Passing Neural Network Space for Better Capturing Data-dependent Receptive Fields. KDD (2023)
Hanmo Liu, Shimin Di, Lei Chen
Incremental Tabular Learning on Heterogeneous Feature Space. Proc. ACM Manag. Data 1 (1) (2023)
Jiachuan Wang, Shimin Di, Lei Chen, Charles Wang Wai Ng
Noise2Info: Noisy Image to Information of Noise for Self-Supervised Image Denoising. ICCV (2023)
Jiachuan Wang, Shimin Di, Lei Chen, Charles Wang Wai Ng
Emergence Learning: A Rising Direction from Emergent Abilities and a Monosemanticity-Based Study. CoRR (2023)
Haoyang Li, Shimin Di, Lei Chen
Revisiting Injective Attacks on Recommender Systems. NeurIPS (2022)
Haoyang Li, Shimin Di, Zijian Li, Lei Chen, Jiannong Cao
Black-box Adversarial Attack and Defense on Graph Neural Networks. ICDE (2022)
Shimin Di, Quanming Yao, Yongqi Zhang, Lei Chen
Efficient Relation-aware Scoring Function Search for Knowledge Graph Embedding. CoRR (2021)
Jia Li, Shimin Di, Yanyan Shen, Lei Chen
FluxEV: A Fast and Effective Unsupervised Framework for Time-Series Anomaly Detection. WSDM (2021)
Zhili Wang, Shimin Di, Lei Chen
AutoGEL: An Automated Graph Neural Network with Explicit Link Information. NeurIPS (2021)
Zhili Wang, Shimin Di, Lei Chen
AutoGEL: An Automated Graph Neural Network with Explicit Link Information. CoRR (2021)
Shimin Di, Quanming Yao, Lei Chen
Searching to Sparsify Tensor Decomposition for N-ary Relational Data. CoRR (2021)
Shimin Di, Quanming Yao, Yongqi Zhang, Lei Chen
Efficient Relation-aware Scoring Function Search for Knowledge Graph Embedding. ICDE (2021)
Shimin Di, Quanming Yao, Lei Chen
Searching to Sparsify Tensor Decomposition for N-ary Relational Data. WWW (2021)
Shimin Di, Yanyan Shen, Lei Chen
Relation Extraction via Domain-aware Transfer Learning. KDD (2019)
Shimin Di, Jingshu Peng, Yanyan Shen, Lei Chen
Transfer Learning via Feature Isomorphism Discovery. KDD (2018)