Improving Physical Object State Representation in Text-to-Image Generative Systems.
CoRR, May, 2025
Co-teacher-guided pseudo label supervision: A semi-supervised learning framework for muscle and adipose tissue segmentation on chest CT scans.
IET Image Process., 2025
Generating Semantic Adversarial Examples via Feature Manipulation in Latent Space.
IEEE Trans. Neural Networks Learn. Syst., December, 2024
EEE-Bench: A Comprehensive Multimodal Electrical And Electronics Engineering Benchmark.
CoRR, 2024
Counterfactual Explainable Incremental Prompt Attack Analysis on Large Language Models.
CoRR, 2024
Knowledge Graph Large Language Model (KG-LLM) for Link Prediction.
CoRR, 2024
A 6.5-to-6.9-GHz SSPLL with Configurable Differential Dual-Edge SSPD Achieving 44-fs RMS Jitter, -260.7-dB FOMJitter, and -76.5-dBc Reference Spur.
,
,
,
,
,
,
,
,
,
,
,
,
Proceedings of the IEEE Symposium on VLSI Technology and Circuits 2024, 2024
Pre-training LiDAR-based 3D Object Detectors through Colorization.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Knowledge Graph Large Language Model (KG-LLM) for Link Prediction.
Proceedings of the Asian Conference on Machine Learning, 2024
Segment Anything Model (SAM) Enhanced Pseudo Labels for Weakly Supervised Semantic Segmentation.
CoRR, 2023
Center-aware Adversarial Augmentation for Single Domain Generalization.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Defending Adversarial Attacks via Semantic Feature Manipulation.
IEEE Trans. Serv. Comput., 2022
Backdoor Attacks Against Transfer Learning With Pre-Trained Deep Learning Models.
IEEE Trans. Serv. Comput., 2022
Author Correction: Automatic strain sensor design via active learning and data augmentation for soft machines.
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
Nat. Mach. Intell., 2022
Automatic strain sensor design via active learning and data augmentation for soft machines.
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
Nat. Mach. Intell., 2022
Learning to Generate the Unknowns as a Remedy to the Open-Set Domain Shift.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022
Contrastive Class-aware Adaptation for Domain Generalization.
Proceedings of the 26th International Conference on Pattern Recognition, 2022
GAN with Multivariate Disentangling for Controllable Hair Editing.
Proceedings of the Computer Vision - ECCV 2022, 2022
Learning with Free Object Segments for Long-Tailed Instance Segmentation.
Proceedings of the Computer Vision - ECCV 2022, 2022
Product Matching Lessons and Recommendations from a Real World Application.
Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021
Adversarial Defense by Latent Style Transformations.
CoRR, 2020
Defending Adversarial Attacks via Semantic Feature Manipulation.
CoRR, 2020
Generating Semantic Adversarial Examples via Feature Manipulation.
CoRR, 2020
Privacy-Preserving Data Generation and Sharing Using Identification Sanitizer.
Proceedings of the Web Information Systems Engineering - WISE 2020, 2020
OIAD: One-for-all Image Anomaly Detection with Disentanglement Learning.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Multivariate Arrival Times with Recurrent Neural Networks for Personalized Demand Forecasting.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018
Support Vector Hazards Machine: A Counting Process Framework for Learning Risk Scores for Censored Outcomes.
J. Mach. Learn. Res., 2016