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Shimin DI
Shimin DI
Other namesDI Shimin
Research Assistant Professor in CSE, HKUST
Verified email at connect.ust.hk - Homepage
Title
Cited by
Cited by
Year
FluxEV: A Fast and Effective Unsupervised Framework for Time-Series Anomaly Detection
J Li, S Di, Y Shen, L Chen
Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021
352021
Searching to Sparsify Tensor Decomposition for N-ary Relational Data
S Di, Q Yao, L Chen
Proceedings of the Web Conference 2021, 4043-4054, 2021
312021
Autogel: An automated graph neural network with explicit link information
Z Wang, S Di, L Chen
Advances in Neural Information Processing Systems 34, 24509-24522, 2021
272021
Relation Extraction via Domain-aware Transfer Learning
S Di, Y Shen, L Chen
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
272019
Black-box Adversarial Attack and Defense on Graph Neural Networks
H Li, S Di, Z Li, L Chen, J Cao
2022 IEEE 38th International Conference on Data Engineering (ICDE), 1017-1030, 2022
152022
Efficient Relation-aware Scoring Function Search for Knowledge Graph Embedding
DI Shimin, YAO Quanming, Y ZHANG, C Lei
2021 IEEE 37th International Conference on Data Engineering (ICDE), 1104-1115, 2021
132021
Noise2Info: Noisy Image to Information of Noise for Self-Supervised Image Denoising
J Wang, S Di, L Chen, CWW Ng
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
72023
Transfer Learning via Feature Isomorphism Discovery
S Di, J Peng, Y Shen, L Chen
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
62018
Revisiting Injective Attacks on Recommender Systems
H LI, S DI, L Chen
Advances in Neural Information Processing Systems 35, 29989-30002, 2022
52022
Message Function Search for Knowledge Graph Embedding
S Di, L Chen
Proceedings of the ACM Web Conference 2023, 2633-2644, 2023
4*2023
Single-Cell RNA-seq Synthesis with Latent Diffusion Model
Y Wang, S Li, S DI, L Chen
arXiv preprint arXiv:2312.14220, 2023
2023
Emergence Learning: A Rising Direction from Emergent Abilities and a Monosemanticity-Based Study
J Wang, S Di, L Chen, CWW Ng
arXiv preprint arXiv:2312.11560, 2023
2023
Search to Fine-tune Pre-trained Graph Neural Networks for Graph-level Tasks
Z Wang, S Di, L Chen, X Zhou
arXiv preprint arXiv:2308.06960, 2023
2023
A Message Passing Neural Network Space for Better Capturing Data-dependent Receptive Fields
Z Wang, S Di, L Chen
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
2023
Incremental Tabular Learning on Heterogeneous Feature Space
H Liu, S Di, L Chen
Proceedings of the ACM on Management of Data 1 (1), 1-18, 2023
2023
Adaptive Regularizing Tucker Decomposition for Knowledge Graph Completion
Q Yao, DI Shimin, Y Zhang
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Articles 1–16