Tianle Chen

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 27

Top Topics

Active Learning

Weakly Supervised

Demand Forecasting

Object Detectors

Top Venues

IEEE Trans. Serv. Comput.

Nat. Mach. Intell.

Publications

Tai-Yu Pan, Chenyang Ma, Tianle Chen, Cheng Perng Phoo, Katie Z. Luo, Yurong You, Mark Campbell, Kilian Q. Weinberger, Bharath Hariharan, Wei-Lun Chao
Pre-training LiDAR-based 3D Object Detectors through Colorization. ICLR (2024)
Dong Shu, Mingyu Jin, Tianle Chen, Chong Zhang, Yongfeng Zhang
Counterfactual Explainable Incremental Prompt Attack Analysis on Large Language Models. CoRR (2024)
Dong Shu, Tianle Chen, Mingyu Jin, Yiting Zhang, Chong Zhang, Mengnan Du, Yongfeng Zhang
Knowledge Graph Large Language Model (KG-LLM) for Link Prediction. CoRR (2024)
Josef Dai, Tianle Chen, Xuyao Wang, Ziran Yang, Taiye Chen, Jiaming Ji, Yaodong Yang
SafeSora: Towards Safety Alignment of Text2Video Generation via a Human Preference Dataset. CoRR (2024)
Tianle Chen, Mahsa Baktashmotlagh, Zijian Wang, Mathieu Salzmann
Center-aware Adversarial Augmentation for Single Domain Generalization. WACV (2023)
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
Pre-Training LiDAR-Based 3D Object Detectors Through Colorization. CoRR (2023)
Tianle Chen, Zheda Mai, Ruiwen Li, Wei-Lun Chao
Segment Anything Model (SAM) Enhanced Pseudo Labels for Weakly Supervised Semantic Segmentation. CoRR (2023)
Shuo Wang, Surya Nepal, Carsten Rudolph, Marthie Grobler, Shangyu Chen, Tianle Chen, Zike An
Defending Adversarial Attacks via Semantic Feature Manipulation. IEEE Trans. Serv. Comput. 15 (6) (2022)
Xuyang Guo, Meina Kan, Tianle Chen, Shiguang Shan
GAN with Multivariate Disentangling for Controllable Hair Editing. ECCV (15) (2022)
Cheng Zhang, Tai-Yu Pan, Tianle Chen, Jike Zhong, Wenjin Fu, Wei-Lun Chao
Learning with Free Object Segments for Long-Tailed Instance Segmentation. ECCV (10) (2022)
Mahsa Baktashmotlagh, Tianle Chen, Mathieu Salzmann
Learning to Generate the Unknowns as a Remedy to the Open-Set Domain Shift. WACV (2022)
Cheng Zhang, Tai-Yu Pan, Tianle Chen, Jike Zhong, Wenjin Fu, Wei-Lun Chao
Learning with Free Object Segments for Long-Tailed Instance Segmentation. CoRR (2022)
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
Author Correction: Automatic strain sensor design via active learning and data augmentation for soft machines. Nat. Mach. Intell. 4 (3) (2022)
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
Automatic strain sensor design via active learning and data augmentation for soft machines. Nat. Mach. Intell. 4 (1) (2022)
Tianle Chen, Mahsa Baktashmotlagh, Mathieu Salzmann
Contrastive Class-aware Adaptation for Domain Generalization. ICPR (2022)
Shuo Wang, Surya Nepal, Carsten Rudolph, Marthie Grobler, Shangyu Chen, Tianle Chen
Backdoor Attacks Against Transfer Learning With Pre-Trained Deep Learning Models. IEEE Trans. Serv. Comput. 15 (3) (2022)
Jérémy Foxcroft, Tianle Chen, Kanchana Padmanabhan, Brian Keng, Luiza Antonie
Product Matching Lessons and Recommendations from a Real World Application. Canadian Conference on AI (2021)
Shuo Wang, Tianle Chen, Shangyu Chen, Surya Nepal, Carsten Rudolph, Marthie Grobler
OIAD: One-for-all Image Anomaly Detection with Disentanglement Learning. IJCNN (2020)
Shuo Wang, Tianle Chen, Surya Nepal, Carsten Rudolph, Marthie Grobler, Shangyu Chen
Defending Adversarial Attacks via Semantic Feature Manipulation. CoRR (2020)
Shuo Wang, Shangyu Chen, Tianle Chen, Surya Nepal, Carsten Rudolph, Marthie Grobler
Generating Semantic Adversarial Examples via Feature Manipulation. CoRR (2020)
Shuo Wang, Surya Nepal, Carsten Rudolph, Marthie Grobler, Shangyu Chen, Tianle Chen
Backdoor Attacks against Transfer Learning with Pre-trained Deep Learning Models. CoRR (2020)
Shuo Wang, Tianle Chen, Shangyu Chen, Carsten Rudolph, Surya Nepal, Marthie Grobler
OIAD: One-for-all Image Anomaly Detection with Disentanglement Learning. CoRR (2020)
Shuo Wang, Surya Nepal, Marthie Grobler, Carsten Rudolph, Tianle Chen, Shangyu Chen
Adversarial Defense by Latent Style Transformations. CoRR (2020)
Shuo Wang, Lingjuan Lyu, Tianle Chen, Shangyu Chen, Surya Nepal, Carsten Rudolph, Marthie Grobler
Privacy-Preserving Data Generation and Sharing Using Identification Sanitizer. WISE (2) (2020)
Tianle Chen, Brian Keng, Javier Moreno
Multivariate Arrival Times with Recurrent Neural Networks for Personalized Demand Forecasting. CoRR (2018)
Tianle Chen, Brian Keng, Javier Moreno
Multivariate Arrival Times with Recurrent Neural Networks for Personalized Demand Forecasting. ICDM Workshops (2018)
Yuanjia Wang, Tianle Chen, Donglin Zeng
Support Vector Hazards Machine: A Counting Process Framework for Learning Risk Scores for Censored Outcomes. J. Mach. Learn. Res. 17 (2016)