Tianle Chen

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2025

Centralized Copy-Paste: Enhanced Data Augmentation Strategy for Wildland Fire Semantic Segmentation.

[BibT_eX]

[DOI]

CoRR, July, 2025

Improving Physical Object State Representation in Text-to-Image Generative Systems.

[BibT_eX]

[DOI]

Tianle Chen

Chaitanya Chakka

Deepti Ghadiyaram

CoRR, May, 2025

Co-teacher-guided pseudo label supervision: A semi-supervised learning framework for muscle and adipose tissue segmentation on chest CT scans.

[BibT_eX]

[DOI]

IET Image Process., 2025

Enhancing φ-OFDR Sensing Distance and Accuracy Based on Synchronous Equal Frequency Resampling.

[BibT_eX]

[DOI]

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2025

EEE-Bench: A Comprehensive Multimodal Electrical And Electronics Engineering Benchmark.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Generating Semantic Adversarial Examples via Feature Manipulation in Latent Space.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., December, 2024

Counterfactual Explainable Incremental Prompt Attack Analysis on Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Knowledge Graph Large Language Model (KG-LLM) for Link Prediction.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on VLSI Technology and Circuits 2024, 2024

Pre-training LiDAR-based 3D Object Detectors through Colorization.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Knowledge Graph Large Language Model (KG-LLM) for Link Prediction.

[BibT_eX]

[DOI]

Proceedings of the Asian Conference on Machine Learning, 2024

2023

Segment Anything Model (SAM) Enhanced Pseudo Labels for Weakly Supervised Semantic Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

Center-aware Adversarial Augmentation for Single Domain Generalization.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

2022

Defending Adversarial Attacks via Semantic Feature Manipulation.

[BibT_eX]

[DOI]

IEEE Trans. Serv. Comput., 2022

Backdoor Attacks Against Transfer Learning With Pre-Trained Deep Learning Models.

[BibT_eX]

[DOI]

IEEE Trans. Serv. Comput., 2022

Author Correction: Automatic strain sensor design via active learning and data augmentation for soft machines.

[BibT_eX]

[DOI]

Pablo Valdivia y Alvarado

Xiaonan Wang

Po-Yen Chen

Nat. Mach. Intell., 2022

Automatic strain sensor design via active learning and data augmentation for soft machines.

[BibT_eX]

[DOI]

Pablo Valdivia y Alvarado

Xiaonan Wang

Po-Yen Chen

Nat. Mach. Intell., 2022

Learning to Generate the Unknowns as a Remedy to the Open-Set Domain Shift.

[BibT_eX]

[DOI]

Mahsa Baktashmotlagh

Tianle Chen

Mathieu Salzmann

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Contrastive Class-aware Adaptation for Domain Generalization.

[BibT_eX]

[DOI]

Tianle Chen

Mahsa Baktashmotlagh

Mathieu Salzmann

Proceedings of the 26th International Conference on Pattern Recognition, 2022

GAN with Multivariate Disentangling for Controllable Hair Editing.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Learning with Free Object Segments for Long-Tailed Instance Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Product Matching Lessons and Recommendations from a Real World Application.

[BibT_eX]

[DOI]

Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021

2020

Adversarial Defense by Latent Style Transformations.

[BibT_eX]

[DOI]

CoRR, 2020

Defending Adversarial Attacks via Semantic Feature Manipulation.

[BibT_eX]

[DOI]

CoRR, 2020

Generating Semantic Adversarial Examples via Feature Manipulation.

[BibT_eX]

[DOI]

CoRR, 2020

Privacy-Preserving Data Generation and Sharing Using Identification Sanitizer.

[BibT_eX]

[DOI]

Proceedings of the Web Information Systems Engineering - WISE 2020, 2020

OIAD: One-for-all Image Anomaly Detection with Disentanglement Learning.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2018

Multivariate Arrival Times with Recurrent Neural Networks for Personalized Demand Forecasting.

[BibT_eX]

[DOI]

Tianle Chen

Brian Keng

Javier Moreno

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

2016

Support Vector Hazards Machine: A Counting Process Framework for Learning Risk Scores for Censored Outcomes.

[BibT_eX]

[DOI]

Yuanjia Wang

Tianle Chen

Donglin Zeng

J. Mach. Learn. Res., 2016

Tianle Chen

Bibliography

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