17 citations · 44 across the 7 of their papers we have counts for
7 papers
Prompt-Guided Injection of Conformation to Pre-trained Protein Model
Qiang Zhang, Zeyuan Wang, Yuqiang Han +3
Pre-trained protein models (PTPMs) represent a protein with one fixed embedding and thus are not capable for diverse tasks. For example, protein structures can shift, namely protei…
Reinforcement Learning Based Sparse Black-box Adversarial Attack on Video Recognition Models
Zeyuan Wang, Chaofeng Sha, Su Yang
We explore the black-box adversarial attack on video recognition models. Attacks are only performed on selected key regions and key frames to reduce the high computation cost of se…
Learning Order Parameters from Videos of Dynamical Phases for Skyrmions with Neural Networks
Weidi Wang, Zeyuan Wang, Yinghui Zhang +2
The ability to recognize dynamical phenomena (e.g., dynamical phases) and dynamical processes in physical events from videos, then to abstract physical concepts and reveal physical…
Cooperative Bi-path Metric for Few-shot Learning
Zeyuan Wang, Yifan Zhao, Jia Li +1
Given base classes with sufficient labeled samples, the target of few-shot classification is to recognize unlabeled samples of novel classes with only a few labeled samples. Most e…
AMI-Net+: A Novel Multi-Instance Neural Network for Medical Diagnosis from Incomplete and Imbalanced Data
Zeyuan Wang, Josiah Poon, Simon Poon
In medical real-world study (RWS), how to fully utilize the fragmentary and scarce information in model training to generate the solid diagnosis results is a challenging task. In t…
Attention-based Multi-instance Neural Network for Medical Diagnosis from Incomplete and Low Quality Data
Zeyuan Wang, Josiah Poon, Shiding Sun +1
One way to extract patterns from clinical records is to consider each patient record as a bag with various number of instances in the form of symptoms. Medical diagnosis is to disc…
CNN based Multi-Instance Multi-Task Learning for Syndrome Differentiation of Diabetic Patients
Zeyuan Wang, Josiah Poon, Shiding Sun +1
Syndrome differentiation in Traditional Chinese Medicine (TCM) is the process of understanding and reasoning body condition, which is the essential step and premise of effective tr…