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".
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*, Lei CHEN:
"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).