Quantum Mechanical Search and Harmonic Perturbation. - Jie-Hong R. Jiang; Dah-Wei Chiou; Cheng-En Wu (Quantum Inf. Process., 2007)

ALM: An adaptive location management scheme for approximate location queries in wireless sensor networks. - Lo-Yao Yeh; Chen-Che Huang; Cheng-En Wu; Jiun-Long Huang (Comput. Commun., 2010)

Comparison of granules features for pedestrian detection. - Yu-Fu Kao; Yi-Ming Chan; Li-Chen Fu; Pei-Yung Hsiao; Shih-Shinh Huang; Cheng-En Wu; Min-Fang Luo (ITSC, 2012)

Combining multiple complementary features for pedestrian and motorbike detection. - Cheng-En Wu; Yi-Ming Chan; Li-Chen Fu; Pei-Yung Hsiao; Shih-Shinh Huang; Han-Hsuan Chen; Pang-Ting Huang; Shao-Chung Hu (ITSC, 2013)

A Cross-Layer Based Bandwidth and Queue Adaptations for Wireless Multimedia Networks. - Lung-Jen Wang; Cheng-En Wu; Chiung-Yun Chang (CICSyN, 2015)

Processors Allocation for MPSoCs With Single ISA Heterogeneous Multi-Core Architecture. - Yi-Jung Chen; Wen-Wei Chang; Chia-Yin Liu; Cheng-En Wu; Bo-Yuan Chen; Ming-Ying Tsai (IEEE Access, 2017)

Thermal-aware task and data co-allocation for multi-processor system-on-chips with 3D-stacked memories. - Chia-Yin Liu; Cheng-En Wu; Yi-Jung Chen (RACS, 2018)

On Merging MobileNets for Efficient Multitask Inference. - Cheng-En Wu; Yi-Ming Chan; Chu-Song Chen (EMC2@HPCA/CVPR/ISCA, 2019)

IMMVP: An Efficient Daytime and Nighttime On-Road Object Detector. - Cheng-En Wu; Yi-Ming Chan; Chien-Hung Chen; Wen-Cheng Chen; Chu-Song Chen (MMSP, 2019)

Compacting, Picking and Growing for Unforgetting Continual Learning. - Steven C. Y. Hung; Cheng-Hao Tu 001; Cheng-En Wu; Chien-Hung Chen; Yi-Ming Chan; Chu-Song Chen (NeurIPS, 2019)

Extending Conditional Convolution Structures For Enhancing Multitasking Continual Learning. - Cheng-Hao Tu 001; Cheng-En Wu; Chu-Song Chen (APSIPA, 2020)

Merging Well-Trained Deep CNN Models for Efficient Inference. - Cheng-En Wu; Jia-Hong Lee; Timmy S. T. Wan; Yi-Ming Chan; Chu-Song Chen (APSIPA, 2020)

Counting People by Using Convolutional Neural Network and A PIR Array. - Peng-Rong Tsou; Cheng-En Wu; Yen-Ru Chen; Yun-Ting Ho; Jun-Kai Chang; Hsiao-Ping Tsai (MDM, 2020)

Self-supervised Video Representation Learning with Cascade Positive Retrieval. - Cheng-En Wu; Farley Lai; Yu Hen Hu; Asim Kadav (CVPR Workshops, 2022)

Selecting Subgoal for Social AGV Path Planning by Using Reinforcement Learning. - Cheng-En Wu; Hsiao-Ping Tsai (MDM, 2022)

Why Is Prompt Tuning for Vision-Language Models Robust to Noisy Labels? - Cheng-En Wu; Yu Tian; Haichao Yu; Heng Wang; Pedro Morgado 001; Yu Hen Hu; Linjie Yang (ICCV, 2023)

Block Pruning for Enhanced Efficiency in Convolutional Neural Networks. - Cheng-En Wu; Azadeh Davoodi; Yu Hen Hu (CoRR, 2023)

A Programmable DLL-based Delay Chain. - Yu-Wei Huang; Cheng-En Wu; Wei-Bin Yang; Jen-Chieh Liu (ISOCC, 2024)

Accelerating Augmentation Invariance Pretraining. - Jinhong Lin; Cheng-En Wu; Yibing Wei; Pedro Morgado 001 (NeurIPS, 2024)

Patch Ranking: Efficient CLIP by Learning to Rank Local Patches. - Cheng-En Wu; Jinhong Lin; Yu Hen Hu; Pedro Morgado 001 (CoRR, 2024)

From Prototypes to General Distributions: An Efficient Curriculum for Masked Image Modeling. - Jinhong Lin; Cheng-En Wu; Huanran Li; Jifan Zhang; Yu Hen Hu; Pedro Morgado 001 (CVPR, 2025)

Patch Ranking: Token Pruning as Ranking Prediction for Efficient CLIP. - Cheng-En Wu; Jinhong Lin; Yu Hen Hu; Pedro Morgado 001 (WACV, 2025)

A High Timing Resolution and Data Rate Pulse Generator for Automatic Test Equipment Applications. - Jen-Chieh Liu; Chi-Hua Chen; Cheng-En Wu (IEEE Trans. Instrum. Meas., 2025)