Projects per year
Organization profile
Organization profile
The technologies for 21 century are moving towards the integration of cross-fields. With this trend, the trainning for enectrical engineering should not only emphasize on conventional communications, control, semiconductor, and information technologies. It should also cover the areas of robotics, biomedical engineering, intelligent computing technologies.
Based on these advanced fields, we can foster distinguished electrical engineers with comprehensive perspectives. We are targeting at increasing the student's research capacities in order to enforce their capabilities and knowledge in electrical engineering.
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Collaborations and top research areas from the last five years
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類神經網路記憶體內類比運算電路與系統設計
Hong, H.-C. (PI)
1/08/24 → 31/07/25
Project: Government Ministry › Other Government Ministry Institute
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邁向第六代行動通訊網路與元宇宙世代人工智慧與通訊網路技術之研究
Wang, L.-C. (PI)
1/08/24 → 31/07/25
Project: Government Ministry › Other Government Ministry Institute
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下世代高速高解析度類比數位轉換器之功耗最佳化設計
Chen, C.-H. (PI)
1/08/24 → 31/07/25
Project: Government Ministry › Other Government Ministry Institute
Research output
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A compliance control strategy of lower-limb exoskeletons for energy-efficient stance-squat transitions with a payload
Hsiao, T. & Yu, K. J., Jan 2025, In: Asian Journal of Control. 27, 1, p. 130-143 14 p.Research output: Contribution to journal › Article › peer-review
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Capture Concept Through Comparison: Vision-and-Language Representation Learning with Intrinsic Information Mining
Song, Y. Z., Chen, Y. S., Lin, T. L., Liu, B., Fu, J. & Shuai, H. H., 2025, Computer Vision – ACCV 2024 - 17th Asian Conference on Computer Vision, Proceedings. Cho, M., Laptev, I., Tran, D., Yao, A. & Zha, H. (eds.). Springer Science and Business Media Deutschland GmbH, p. 220-238 19 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15474 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Compressing Deep Neural Networks with Goal-Specific Pruning and Self-Distillation
Chen, F. Y., Hsu, Y. J., Lu, C. H., Shuai, H. H., Yeh, L. Y. & Shen, C. Y., 9 May 2025, In: ACM Transactions on Knowledge Discovery from Data. 19, 4, 91.Research output: Contribution to journal › Article › peer-review
Prizes
Activities
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Keynote speaker, 2019 Taiwan and Japan Conference on Circuits and Systems
Hong, H.-C. (Speaker)
20 Aug 2019Activity: Talk or presentation › Invited talk
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Journal of Signal Processing Systems (Journal)
Chien, J.-T. (Member of editorial board)
1 May 2019 → …Activity: Publication peer-review and editorial work › Editorial work
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ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Tutorial Speaker
Chien, J.-T. (Speaker)
2019 → …Activity: Talk or presentation › Invited talk