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2020 – today
- 2024
[c11]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- [c10]Tianle Chen, Hongyu Ren, Zunsong Yang, Yunbo Huang, Xianghe Meng, Weiwei Yan, Weidong Zhang, Xuqiang Zheng, Xuan Guo, Tetsuya Iizuka, Pui-In Mak, Yong Chen, Bo Li:
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. VLSI Technology and Circuits 2024: 1-2 - [i13]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 abs/2403.07311 (2024) - [i12]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 abs/2406.14477 (2024) - [i11]Dong Shu, Mingyu Jin, Tianle Chen, Chong Zhang, Yongfeng Zhang:
Counterfactual Explainable Incremental Prompt Attack Analysis on Large Language Models. CoRR abs/2407.09292 (2024) - [i10]Ming Li, Jike Zhong, Tianle Chen, Yuxiang Lai, Konstantinos Psounis:
EEE-Bench: A Comprehensive Multimodal Electrical And Electronics Engineering Benchmark. CoRR abs/2411.01492 (2024) - 2023
- [c9]Tianle Chen, Mahsa Baktashmotlagh
, Zijian Wang, Mathieu Salzmann:
Center-aware Adversarial Augmentation for Single Domain Generalization. WACV 2023: 4146-4154 - [i9]Tianle Chen, Zheda Mai, Ruiwen Li, Wei-Lun Chao:
Segment Anything Model (SAM) Enhanced Pseudo Labels for Weakly Supervised Semantic Segmentation. CoRR abs/2305.05803 (2023) - [i8]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 abs/2310.14592 (2023) - 2022
- [j5]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): 84-94 (2022) - [j4]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): 312 (2022) - [j3]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): 1526-1539 (2022) - [j2]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): 3184-3197 (2022) - [c8]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: 655-672 - [c7]Xuyang Guo, Meina Kan, Tianle Chen, Shiguang Shan:
GAN with Multivariate Disentangling for Controllable Hair Editing. ECCV (15) 2022: 655-670 - [c6]Tianle Chen, Mahsa Baktashmotlagh, Mathieu Salzmann:
Contrastive Class-aware Adaptation for Domain Generalization. ICPR 2022: 4871-4876 - [c5]Mahsa Baktashmotlagh, Tianle Chen, Mathieu Salzmann:
Learning to Generate the Unknowns as a Remedy to the Open-Set Domain Shift. WACV 2022: 3737-3746 - [i7]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 abs/2202.11124 (2022) - 2021
- [c4]Jérémy Foxcroft, Tianle Chen, Kanchana Padmanabhan, Brian Keng, Luiza Antonie:
Product Matching Lessons and Recommendations from a Real World Application. Canadian AI 2021 - 2020
- [c3]Shuo Wang, Tianle Chen, Shangyu Chen, Surya Nepal, Carsten Rudolph, Marthie Grobler:
OIAD: One-for-all Image Anomaly Detection with Disentanglement Learning. IJCNN 2020: 1-8 - [c2]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: 185-200 - [i6]Shuo Wang, Shangyu Chen, Tianle Chen, Surya Nepal, Carsten Rudolph, Marthie Grobler:
Generating Semantic Adversarial Examples via Feature Manipulation. CoRR abs/2001.02297 (2020) - [i5]Shuo Wang, Surya Nepal, Carsten Rudolph, Marthie Grobler, Shangyu Chen, Tianle Chen:
Backdoor Attacks against Transfer Learning with Pre-trained Deep Learning Models. CoRR abs/2001.03274 (2020) - [i4]Shuo Wang, Tianle Chen, Shangyu Chen, Carsten Rudolph, Surya Nepal, Marthie Grobler:
OIAD: One-for-all Image Anomaly Detection with Disentanglement Learning. CoRR abs/2001.06640 (2020) - [i3]Shuo Wang, Tianle Chen, Surya Nepal, Carsten Rudolph, Marthie Grobler, Shangyu Chen:
Defending Adversarial Attacks via Semantic Feature Manipulation. CoRR abs/2002.02007 (2020) - [i2]Shuo Wang, Surya Nepal, Marthie Grobler, Carsten Rudolph, Tianle Chen, Shangyu Chen:
Adversarial Defense by Latent Style Transformations. CoRR abs/2006.09701 (2020)
2010 – 2019
- 2018
- [c1]Tianle Chen, Brian Keng, Javier Moreno:
Multivariate Arrival Times with Recurrent Neural Networks for Personalized Demand Forecasting. ICDM Workshops 2018: 810-819 - [i1]Tianle Chen, Brian Keng, Javier Moreno:
Multivariate Arrival Times with Recurrent Neural Networks for Personalized Demand Forecasting. CoRR abs/1812.11444 (2018) - 2016
- [j1]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: 167:1-167:37 (2016)
Coauthor Index
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last updated on 2024-12-12 21:57 CET by the dblp team
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