activity
20152023
most citedStreaming Active Deep Forest for Evolving Data Stream Classification

11 citations · 33 across the 8 of their papers we have counts for

collaborators

9 papers

cs.LG20239 cited

Towards Data-centric Graph Machine Learning: Review and Outlook

Xin Zheng, Yixin Liu, Zhifeng Bao +4

Data-centric AI, with its primary focus on the collection, management, and utilization of data to drive AI models and applications, has attracted increasing attention in recent yea…

cs.CR2022

A hybrid privacy protection scheme for medical data

Judy X Yang, Hui Tian, Alan Wee-Chung Liew +1

Healthcare data contains sensitive information, and it is challenging to persuade healthcare data owners to share their information for research purposes without any privacy assura…

cs.CR20214 cited

Regulating Ownership Verification for Deep Neural Networks: Scenarios, Protocols, and Prospects

Fang-Qi Li, Shi-Lin Wang, Alan Wee-Chung Liew

With the broad application of deep neural networks, the necessity of protecting them as intellectual properties has become evident. Numerous watermarking schemes have been proposed…

cs.CR2021

Towards Practical Watermark for Deep Neural Networks in Federated Learning

Fang-Qi Li, Shi-Lin Wang, Alan Wee-Chung Liew

With the wide application of deep neural networks, it is important to verify a host's possession over a deep neural network model and protect the model. To meet this goal, various…

cs.CV2021

Ensemble Learning based on Classifier Prediction Confidence and Comprehensive Learning Particle Swarm Optimisation for polyp localisation

Truong Dang, Thanh Nguyen, John McCall +1

Colorectal cancer (CRC) is the first cause of death in many countries. CRC originates from a small clump of cells on the lining of the colon called polyps, which over time might gr…

cs.LG202011 cited

Streaming Active Deep Forest for Evolving Data Stream Classification

Anh Vu Luong, Tien Thanh Nguyen, Alan Wee-Chung Liew

In recent years, Deep Neural Networks (DNNs) have gained progressive momentum in many areas of machine learning. The layer-by-layer process of DNNs has inspired the development of…