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Shimin Di
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2020 – today
- 2024
- [j2]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): 2050-2063 (2024) - [c18]Yuchen Liu, Shimin Di, Lei Chen, Xiaofang Zhou, Fei Lin:
A Universal and Interpretable Method for Enhancing Stock Price Prediction. CIKM 2024: 1533-1543 - [c17]Haoyang Li, Shimin Di
, Lei Chen, Xiaofang Zhou:
E2GCL: Efficient and Expressive Contrastive Learning on Graph Neural Networks. ICDE 2024: 859-873 - [c16]Ran Li, Shimin Di
GradGCL: Gradient Graph Contrastive Learning. ICDE 2024: 1171-1184 - [c15]Hanmo Liu, Shimin Di
Effective Data Selection and Replay for Unsupervised Continual Learning. ICDE 2024: 1449-1463 - [c14]Zhili Wang, Shimin Di
Search to Fine-Tune Pre-Trained Graph Neural Networks for Graph-Level Tasks. ICDE 2024: 2805-2819 - [c13]Ran Li
SimDiff: Simple Denoising Probabilistic Latent Diffusion Model for Data Augmentation on Multi-modal Knowledge Graph. KDD 2024: 1631-1642 - [c12]Jiachuan Wang
Learning from Emergence: A Study on Proactively Inhibiting the Monosemantic Neurons of Artificial Neural Networks. KDD 2024: 3092-3103 - [i9]Fei Teng, Haoyang Li, Shimin Di
Cardinality Estimation on Hyper-relational Knowledge Graphs. CoRR abs/2405.15231 (2024) - [i8]Jialiang Wang, Shimin Di, Hanmo Liu, Zhili Wang, Jiachuan Wang, Lei Chen, Xiaofang Zhou:
Computation-friendly Graph Neural Network Design by Accumulating Knowledge on Large Language Models. CoRR abs/2408.06717 (2024) - [i7]Jialiang Wang, Ning Zhang, Shimin Di, Ruidong Wang, Lei Chen:
Class-aware and Augmentation-free Contrastive Learning from Label Proportion. CoRR abs/2408.06743 (2024) - 2023
- [j1]Hanmo Liu
Incremental Tabular Learning on Heterogeneous Feature Space. Proc. ACM Manag. Data 1(1): 18:1-18:18 (2023) - [c11]Jiachuan Wang
Noise2Info: Noisy Image to Information of Noise for Self-Supervised Image Denoising. ICCV 2023: 15988-15997 - [c10]Zhili Wang
A Message Passing Neural Network Space for Better Capturing Data-dependent Receptive Fields. KDD 2023: 2489-2501 - [c9]Shimin Di
Message Function Search for Knowledge Graph Embedding. WWW 2023: 2633-2644 - [i6]Zhili Wang, Shimin Di
Search to Fine-tune Pre-trained Graph Neural Networks for Graph-level Tasks. CoRR abs/2308.06960 (2023) - [i5]Jiachuan Wang, Shimin Di
Emergence Learning: A Rising Direction from Emergent Abilities and a Monosemanticity-Based Study. CoRR abs/2312.11560 (2023) - [i4]Yixuan Wang, Shuangyin Li, Shimin Di
Single-Cell RNA-seq Synthesis with Latent Diffusion Model. CoRR abs/2312.14220 (2023) - 2022
- [c8]Haoyang Li, Shimin Di
Black-box Adversarial Attack and Defense on Graph Neural Networks. ICDE 2022: 1017-1030 - [c7]Haoyang Li, Shimin Di, Lei Chen:
Revisiting Injective Attacks on Recommender Systems. NeurIPS 2022 - 2021
- [c6]Shimin Di
Efficient Relation-aware Scoring Function Search for Knowledge Graph Embedding. ICDE 2021: 1104-1115 - [c5]Zhili Wang, Shimin Di, Lei Chen:
AutoGEL: An Automated Graph Neural Network with Explicit Link Information. NeurIPS 2021: 24509-24522 - [c4]Jia Li
FluxEV: A Fast and Effective Unsupervised Framework for Time-Series Anomaly Detection. WSDM 2021: 824-832 - [c3]Shimin Di
Searching to Sparsify Tensor Decomposition for N-ary Relational Data. WWW 2021: 4043-4054 - [i3]Shimin Di, Quanming Yao, Lei Chen:
Searching to Sparsify Tensor Decomposition for N-ary Relational Data. CoRR abs/2104.10625 (2021) - [i2]Shimin Di, Quanming Yao, Yongqi Zhang, Lei Chen:
Efficient Relation-aware Scoring Function Search for Knowledge Graph Embedding. CoRR abs/2104.10880 (2021) - [i1]Zhili Wang, Shimin Di, Lei Chen:
AutoGEL: An Automated Graph Neural Network with Explicit Link Information. CoRR abs/2112.01064 (2021)
2010 – 2019
- 2019
- [c2]Shimin Di
Relation Extraction via Domain-aware Transfer Learning. KDD 2019: 1348-1357 - 2018
- [c1]Shimin Di
Transfer Learning via Feature Isomorphism Discovery. KDD 2018: 1301-1309
Coauthor Index
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