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Cheng-En Wu
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2020 – today
- 2024
- [c14]Yu-Wei Huang, Cheng-En Wu, Wei-Bin Yang, Jen-Chieh Liu:
A Programmable DLL-based Delay Chain. ISOCC 2024: 29-30 - [i7]Cheng-En Wu, Jinhong Lin, Yu Hen Hu, Pedro Morgado:
Patch Ranking: Efficient CLIP by Learning to Rank Local Patches. CoRR abs/2409.14607 (2024) - [i6]Jinhong Lin, Cheng-En Wu, Yibing Wei, Pedro Morgado:
Accelerating Augmentation Invariance Pretraining. CoRR abs/2410.22364 (2024) - 2023
- [c13]Cheng-En Wu, Yu Tian, Haichao Yu, Heng Wang, Pedro Morgado
, Yu Hen Hu, Linjie Yang:
Why Is Prompt Tuning for Vision-Language Models Robust to Noisy Labels? ICCV 2023: 15442-15451 - [i5]Cheng-En Wu, Yu Tian, Haichao Yu, Heng Wang, Pedro Morgado, Yu Hen Hu, Linjie Yang:
Why Is Prompt Tuning for Vision-Language Models Robust to Noisy Labels? CoRR abs/2307.11978 (2023) - [i4]Cheng-En Wu, Azadeh Davoodi, Yu Hen Hu:
Block Pruning for Enhanced Efficiency in Convolutional Neural Networks. CoRR abs/2312.16904 (2023) - 2022
- [c12]Cheng-En Wu, Farley Lai, Yu Hen Hu, Asim Kadav:
Self-supervised Video Representation Learning with Cascade Positive Retrieval. CVPR Workshops 2022: 4069-4078 - [c11]Cheng-En Wu, Hsiao-Ping Tsai:
Selecting Subgoal for Social AGV Path Planning by Using Reinforcement Learning. MDM 2022: 452-457 - [i3]Cheng-En Wu, Farley Lai, Yu Hen Hu, Asim Kadav:
Self-supervised Video Representation Learning with Cascade Positive Retrieval. CoRR abs/2201.07989 (2022) - 2020
- [c10]Cheng-En Wu, Jia-Hong Lee, Timmy S. T. Wan, Yi-Ming Chan, Chu-Song Chen:
Merging Well-Trained Deep CNN Models for Efficient Inference. APSIPA 2020: 1594-1600 - [c9]Cheng-Hao Tu, Cheng-En Wu, Chu-Song Chen:
Extending Conditional Convolution Structures For Enhancing Multitasking Continual Learning. APSIPA 2020: 1605-1610 - [c8]Peng-Rong Tsou, Cheng-En Wu, Yen-Ru Chen, Yun-Ting Ho, Jun-Kai Chang, Hsiao-Ping Tsai:
Counting People by Using Convolutional Neural Network and A PIR Array. MDM 2020: 342-347
2010 – 2019
- 2019
- [c7]Cheng-En Wu, Yi-Ming Chan, Chu-Song Chen:
On Merging MobileNets for Efficient Multitask Inference. EMC2@HPCA/CVPR/ISCA 2019: 16-20 - [c6]Cheng-En Wu, Yi-Ming Chan, Chien-Hung Chen, Wen-Cheng Chen, Chu-Song Chen:
IMMVP: An Efficient Daytime and Nighttime On-Road Object Detector. MMSP 2019: 1-5 - [c5]Steven C. Y. Hung, Cheng-Hao Tu, Cheng-En Wu, Chien-Hung Chen, Yi-Ming Chan, Chu-Song Chen:
Compacting, Picking and Growing for Unforgetting Continual Learning. NeurIPS 2019: 13647-13657 - [i2]Steven C. Y. Hung, Cheng-Hao Tu, Cheng-En Wu, Chien-Hung Chen, Yi-Ming Chan, Chu-Song Chen:
Compacting, Picking and Growing for Unforgetting Continual Learning. CoRR abs/1910.06562 (2019) - [i1]Cheng-En Wu, Yi-Ming Chan, Chien-Hung Chen, Wen-Cheng Chen, Chu-Song Chen:
IMMVP: An Efficient Daytime and Nighttime On-Road Object Detector. CoRR abs/1910.06573 (2019) - 2018
- [c4]Chia-Yin Liu
Thermal-aware task and data co-allocation for multi-processor system-on-chips with 3D-stacked memories. RACS 2018: 243-248 - 2017
- [j3]Yi-Jung Chen
Processors Allocation for MPSoCs With Single ISA Heterogeneous Multi-Core Architecture. IEEE Access 5: 4028-4036 (2017) - 2015
- [c3]Lung-Jen Wang, Cheng-En Wu, Chiung-Yun Chang:
A Cross-Layer Based Bandwidth and Queue Adaptations for Wireless Multimedia Networks. CICSyN 2015: 227-232 - 2013
- [c2]Cheng-En Wu, Yi-Ming Chan, Li-Chen Fu
Combining multiple complementary features for pedestrian and motorbike detection. ITSC 2013: 1358-1363 - 2012
- [c1]Yu-Fu Kao, Yi-Ming Chan, Li-Chen Fu
Comparison of granules features for pedestrian detection. ITSC 2012: 1777-1782 - 2010
- [j2]Lo-Yao Yeh, Chen-Che Huang, Cheng-En Wu, Jiun-Long Huang:
ALM: An adaptive location management scheme for approximate location queries in wireless sensor networks. Comput. Commun. 33(16): 1937-1948 (2010)
2000 – 2009
- 2007
- [j1]Jie-Hong R. Jiang, Dah-Wei Chiou, Cheng-En Wu:
Quantum Mechanical Search and Harmonic Perturbation. Quantum Inf. Process. 6(5): 349-362 (2007)
Coauthor Index
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