Tianle Chen

According to our database, Tianle Chen authored at least 20 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

Dong Shu, Tianle Chen, Mingyu Jin, Yiting Zhang, Chong Zhang, Mengnan Du, Yongfeng Zhang

CoRR, 2024

2023

Pre-Training LiDAR-Based 3D Object Detectors Through Colorization.

Tai-Yu Pan, Chenyang Ma, Tianle Chen, Cheng Perng Phoo, Katie Z. Luo, Yurong You, Mark E. Campbell, Kilian Q. Weinberger, Bharath Hariharan, Wei-Lun Chao

CoRR, 2023

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

Tianle Chen, Zheda Mai, Ruiwen Li, Wei-Lun Chao

CoRR, 2023

Center-aware Adversarial Augmentation for Single Domain Generalization.

Tianle Chen, Mahsa Baktashmotlagh, Zijian Wang, Mathieu Salzmann

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

2022

Defending Adversarial Attacks via Semantic Feature Manipulation.

Shuo Wang, Surya Nepal, Carsten Rudolph, Marthie Grobler, Shangyu Chen, Tianle Chen, Zike An

IEEE Trans. Serv. Comput., 2022

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

Shuo Wang, Surya Nepal, Carsten Rudolph, Marthie Grobler, Shangyu Chen, Tianle Chen

IEEE Trans. Serv. Comput., 2022

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

Haitao Yang, Jiali Li, Kai Zhuo Lim, Chuanji Pan, Tien Van Truong, Qian Wang, Kerui Li, Shuo Li, Xiao Xiao, Meng Ding, Tianle Chen, Xiaoli Liu, Qian Xie, 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.

Haitao Yang, Jiali Li, Kai Zhuo Lim, Chuanji Pan, Tien Van Truong, Qian Wang, Kerui Li, Shuo Li, Xiao Xiao, Meng Ding, Tianle Chen, Xiaoli Liu, Qian Xie, 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.

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.

Tianle Chen, Mahsa Baktashmotlagh, Mathieu Salzmann

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

GAN with Multivariate Disentangling for Controllable Hair Editing.

Xuyang Guo, Meina Kan, Tianle Chen, Shiguang Shan

Proceedings of the Computer Vision - ECCV 2022, 2022

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

Cheng Zhang, Tai-Yu Pan, Tianle Chen, Jike Zhong, Wenjin Fu, Wei-Lun Chao

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Product Matching Lessons and Recommendations from a Real World Application.

Jérémy Foxcroft, Tianle Chen, Kanchana Padmanabhan, Brian Keng, Luiza Antonie

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

2020

Adversarial Defense by Latent Style Transformations.

Shuo Wang, Surya Nepal, Marthie Grobler, Carsten Rudolph, Tianle Chen, Shangyu Chen

CoRR, 2020

Defending Adversarial Attacks via Semantic Feature Manipulation.

Shuo Wang, Tianle Chen, Surya Nepal, Carsten Rudolph, Marthie Grobler, Shangyu Chen

CoRR, 2020

Generating Semantic Adversarial Examples via Feature Manipulation.

Shuo Wang, Shangyu Chen, Tianle Chen, Surya Nepal, Carsten Rudolph, Marthie Grobler

CoRR, 2020

Privacy-Preserving Data Generation and Sharing Using Identification Sanitizer.

Shuo Wang, Lingjuan Lyu, Tianle Chen, Shangyu Chen, Surya Nepal, Carsten Rudolph, Marthie Grobler

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

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

Shuo Wang, Tianle Chen, Shangyu Chen, Surya Nepal, Carsten Rudolph, Marthie Grobler

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

2018

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

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.

Yuanjia Wang, Tianle Chen, Donglin Zeng

J. Mach. Learn. Res., 2016