Area of research
Artificial Intelligence · Computer Vision and Pattern Recognition
Research interest
Research interests include Advanced Neural Network Applications, Adversarial Robustness in Machine Learning, Domain Adaptation and Few-Shot Learning, and Anomaly Detection Techniques and Applications.
Prediction of Preoperative Synchronous Distant Metastasis of Rectal Cancer Based on MRI Radiomics Model
A Comprehensive Prediction Model Based on MRI Radiomics and Clinical Factors to Predict Tumor Response After Neoadjuvant Chemoradiotherapy in Rectal Cancer
MRI-based radiomics model for preoperative prediction of extramural venous invasion of rectal adenocarcinoma
Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Neural Network Robustness Verification
Neural Information Processing Systems 2021cited by 94position: middle
A radiomics-based nomogram for preoperative T staging prediction of rectal cancer
Screening of radiotracer for diagnosis of colorectal cancer liver metastasis based on MACC1-SPON2
Adversarial T-Shirt! Evading Person Detectors in a Physical World
RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition
MDCC-Net: Multiscale double-channel convolution U-Net framework for colorectal tumor segmentation
Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond
Neural Information Processing Systems 2020cited by 27position: middle
A Privacy-Preserving-Oriented DNN Pruning and Mobile Acceleration Framework
Effects of Erythropoietin on Lung Injury Induced by Cardiopulmonary Bypass After Cardiac Surgery
Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective
Desflurane Attenuates Ventilator-Induced Lung Injury in Rats with Acute Respiratory Distress Syndrome
Flurbiprofen axetil reduces postoperative sufentanil consumption and enhances postoperative analgesic effects in patients with colorectal cancer surgery.
PubMed 2014cited by 13position: first