Подписаться
Shimin DI
Shimin DI
Research Assistant Professor in CSE, HKUST
Подтвержден адрес электронной почты в домене connect.ust.hk - Главная страница
Название
Процитировано
Процитировано
Год
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
472021
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
442021
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
422021
Relation Extraction via Domain-aware Transfer Learning
S Di, Y Shen, L Chen
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
362019
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
262022
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
252021
Revisiting Injective Attacks on Recommender Systems
H LI, S DI, L Chen
Advances in Neural Information Processing Systems 35, 29989-30002, 2022
162022
Message Function Search for Knowledge Graph Embedding
S Di, L Chen
Proceedings of the ACM Web Conference 2023, 2633-2644, 2023
12*2023
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
112023
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
92023
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
92018
Learning from Emergence: A Study on Proactively Inhibiting the Monosemantic Neurons of Artificial Neural Networks
J Wang, S Di, L Chen, CWW Ng
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024
5*2024
Search to Fine-Tune Pre-Trained Graph Neural Networks for Graph-Level Tasks
W Zhili, DI Shimin, C Lei, Z Xiaofang
2024 IEEE 40th International Conference on Data Engineering (ICDE), 2805-2819, 2024
52024
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
32023
GradGCL: Gradient Graph Contrastive Learning
R Li, S Di, L Chen, X Zhou
2024 IEEE 40th International Conference on Data Engineering (ICDE), 1171-1184, 2024
22024
E2GCL: Efficient and Expressive Contrastive Learning on Graph Neural Networks
H Li, S Di, L Chen, X Zhou
2024 IEEE 40th International Conference on Data Engineering (ICDE), 859-873, 2024
22024
Effective Data Selection and Replay for Unsupervised Continual Learning
LIU Hanmo, DI Shimin, LI Haoyang, LI Shuangyin, C Lei, Z Xiaofang
2024 IEEE 40th International Conference on Data Engineering (ICDE), 1449-1463, 2024
22024
SimDiff: Simple Denoising Probabilistic Latent Diffusion Model for Data Augmentation on Multi-modal Knowledge Graph
R Li, S Di, L Chen, X Zhou
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024
12024
Computation-friendly Graph Neural Network Design by Accumulating Knowledge on Large Language Models
J Wang, S Di, H Liu, Z Wang, J Wang, L Chen, X Zhou
arXiv preprint arXiv:2408.06717, 2024
12024
Cardinality Estimation on Hyper-relational Knowledge Graphs
F Teng, H Li, S Di, L Chen
arXiv preprint arXiv:2405.15231, 2024
12024
В данный момент система не может выполнить эту операцию. Повторите попытку позднее.
Статьи 1–20