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Li, Te-Chuan
259  Ergebnisse:
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1

Rethinking Deep Face Restoration:

, In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),
Zhao, Yang ; Su, Yu-Chuan ; Chu, Chun-Te... - p. 7642-7651 , 2022
Link: https://doi.org/10.1109/..
 
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2

List of contributors:

, In: Integrated and Hybrid Process Technology for Water and Wastewater Treatment,
Aaron, Koe Zhen Yao ; Ahmad, Abdul Latif ; Akizuki, Shinichi... - p. xi-xiv , 2021
Link: https://doi.org/10.1016/..
 
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3

Layout Guidelines against Charging Damage from the Well-Sid..:

, In: 2024 IEEE International Reliability Physics Symposium (IRPS),
Kuo, Hsi-Yu ; Chu, Yu-Lin ; Dai, Hung-Da... - p. 1-6 , 2024
Link: https://doi.org/10.1109/..
 
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4

Reinforcement Learning-Based Task Offloading of MEC-Assiste..:

, In: GLOBECOM 2023 - 2023 IEEE Global Communications Conference,
Yang, Zih-Yi ; Chiu, Te-Chuan ; Sheu, Jang-Ping - p. 5587-5592 , 2023
Link: https://doi.org/10.1109/..
 
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5

SynFMPL: A Federated Meta Pseudo Labeling Framework with Sy..:

, In: ICC 2023 - IEEE International Conference on Communications,
Peng, Tzu-Hsuan ; Chiu, Te-Chuan ; Pang, Ai-Chun. - p. 1181-1187 , 2023
Link: https://doi.org/10.1109/..
 
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6

Contrastive Studies on Non-linearity Vibration Influences t..:

, In: Lecture Notes in Mechanical Engineering; Advances in Dynamics of Vehicles on Roads and Tracks,
Li, Te-te ; Piao, Ming-wei ; Li, Hua.. - p. 497-507 , 2020
Link: https://doi.org/10.1007/..
 
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7

Mobility-Aware Deep Reinforcement Learning with Glimpse Mob..:

, In: ICC 2020 - 2020 IEEE International Conference on Communications (ICC),
Wu, Chao-Lun ; Chiu, Te-Chuan ; Wang, Chih-Yu. - p. 1-7 , 2020
Link: https://doi.org/10.1109/..
 
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8

Privacy-preserving of platoon-based V2V in collaborative ed..:

, In: Proceedings of the Second ACM/IEEE Symposium on Edge Computing,
Chiu, Te-Chuan ; Zhang, Junshan ; Pang, Ai-Chun - p. 1-2 , 2017
Link: https://dl.acm.org/doi/1..
 
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9

Dual Graph Networks with Synthetic Oversampling for Imbalan..:

, In: Companion Proceedings of the ACM on Web Conference 2024,
Lu, Yen-Wen ; Chen, Chih-Yao ; Li, Cheng-Te - p. 750-753 , 2024
Link: https://dl.acm.org/doi/1..
 
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10

Skewness-aware Boosting Regression Trees for Customer Contr..:

, In: Companion Proceedings of the ACM on Web Conference 2024,
Chen, Hsin-Yu ; Li, Cheng-Te ; Chen, Ting-Yu - p. 461-470 , 2024
Link: https://dl.acm.org/doi/1..
 
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11

Burstiness-aware Bipartite Graph Neural Networks for Fraudu..:

, In: Companion Proceedings of the ACM on Web Conference 2024,
Lu, Yen-Wen ; Tsai, Yu-Che ; Li, Cheng-Te - p. 834-837 , 2024
Link: https://dl.acm.org/doi/1..
 
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12

Detecting Illicit Food Factories from Chemical Declaration ..:

, In: Proceedings of the ACM on Web Conference 2024,
Yang, Sheng-Fang ; Li, Cheng-Te - p. 4501-4511 , 2024
Link: https://dl.acm.org/doi/1..
 
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13

TCGNN: Text-Clustering Graph Neural Networks for Fake News ..:

, In: Advances in Knowledge Discovery and Data Mining; Lecture Notes in Computer Science,
Li, Pei-Cheng ; Li, Cheng-Te - p. 134-146 , 2024
Link: https://doi.org/10.1007/..
 
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14

Multi-Grained Semantics-Aware Graph Neural Networks (Extend..:

, In: 2024 IEEE 40th International Conference on Data Engineering (ICDE),
Zhong, Zhiqiang ; Li, Cheng-Te ; Pang, Jun - p. 5691-5692 , 2024
Link: https://doi.org/10.1109/..
 
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15

The 12th International Workshop on Natural Language Process..:

, In: Companion Proceedings of the ACM on Web Conference 2024,
Li, Cheng-Te ; Ku, Lun-Wei ; Tsai, Yu-Che - p. 1647-1648 , 2024
Link: https://dl.acm.org/doi/1..
 
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