Shimin DI, Quanming YAO, Yongqi ZHANG*, Xiaofang ZHOU, Lei CHEN.
"Efficient Latent-based Scoring Function Search for N-ary Relational Knowledge Bases". ACM Transactions on Knowledge Discovery from Data (TKDD).
Yuchen LIU, Shimin DI*, Lei CHEN, Xiaofang ZHOU and Fei LIN
"A Universal and Interpretable Method for Enhancing Stock Price Prediction". 33rd ACM International Conference on Information and Knowledge Management (CIKM 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". 30TH ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2024).
Ran LI, Shimin DI*, Lei CHEN, Xiaofang ZHOU:
"SimDiff: Simple Denoising Probabilistic Latent Diffusion Model for data augmentation on Multi-modal Knowledge Graph". 30TH ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2024).
Haoyang LI, Shimin DI*, Calvin LI, Lei CHEN, Xiaofang ZHOU:
"Fight Fire with Fire: Towards Robust Graph Neural Networks on Dynamic Graphs via Actively Defense". 50TH International Conference on Very Large Databases (VLDB 2024).
Ran LI, Shimin DI*, Lei CHEN, Xiaofang ZHOU:
"GradGCL: Gradient Graph Contrastive Learning". 40TH IEEE International Conference on Data Engineering (ICDE 2024).
Zhili WANG, Shimin DI*, Lei CHEN, Xiaofang ZHOU:
"Search to Fine-tune Pre-trained Graph Neural Networks for Graph-level Tasks". 40TH IEEE International Conference on Data Engineering (ICDE 2024).
Haoyang LI, Shimin DI*, Lei CHEN, Xiaofang ZHOU:
"E2GCL: Efficient and Expressive Contrastive Learning on Graph Neural Networks". 40TH IEEE International Conference on Data Engineering (ICDE 2024).
Hanmo LIU, Shimin DI*, Haoyang LI, Shuangyin LI, Lei CHEN, Xiaofang ZHOU:
"Effective Data Selection and Replay for Unsupervised Continual Learning". 40TH IEEE International Conference on Data Engineering (ICDE 2024).
Jiachuan WANG, Shimin DI*, Lei CHEN, Charles Wang Wai NG:
"Noise2Info: Noisy Image to Information of Noise for Self-Supervised Image Denoising". Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV 2023).
Zhili WANG, Shimin DI*, Lei CHEN:
"A Message Passing Neural Network Space for Better Capturing Data-dependent Receptive Fields". 29TH ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2023).
Hanmo LIU, Shimin DI*, Lei CHEN:
"Incremental Tabular Learning on Heterogeneous Feature Space". Proceedings of the ACM on Management of Data (SIGMOD 2023).
Haoyang LI, Shimin DI*, Lei CHEN:
"Revisiting Injective Attacks on Recommender Systems". 36TH Advances in Neural Information Processing Systems (NeurIPS 2022).
Haoyang LI, Shimin DI*, Zijian LI, Lei CHEN, Jiannong CAO:
"Black-box Adversarial Attack and Defense on Graph Neural Networks". IEEE 38th International Conference on Data Engineering (ICDE 2022).
Shimin DI, Quanming YAO, Lei CHEN:
"Searching to Sparsify Tensor Decomposition for N-ary Relational Data". 30TH Proceedings of the ACM Web Conference (WWW 2021).
Shimin DI, Yongqi ZHANG, Quanming YAO*, Lei CHEN:
"Efficient Relation-aware Scoring Function Search for Knowledge Graph Embedding". IEEE 37th International Conference on Data Engineering (ICDE 2021).
Zhili WANG, Shimin DI*, Lei CHEN:
"AutoGEL: An Automated Graph Neural Network with Explicit Link Information". 35TH Advances in Neural Information Processing Systems (NeurIPS 2021).
Jia LI, Shimin DI, Yanyan SHEN*, Lei CHEN:
"FluxEV: A Fast and Effective Unsupervised Framework for Time-Series Anomaly Detection". 14TH ACM International Conference on Web Search and Data Mining (WSDM 2021).
Shimin DI, Yanyan SHEN*, Lei CHEN:
"Relation Extraction via Domain-aware Transfer Learning". 25TH ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2019).