指導教授

郭致宏

教授(professor)

學歷

  • 美國南加州大學電機工程博士(2003)
  • 國立清華大學電機工程碩士(1994)
  • 國立清華大學電機工程學士(1992)

經歷

  • 國立成功大學電機系副教授 (2010-)
  • 國立成功大學電機系助理教授 (2004-2010)
  • 華邦電子公司 (2004)
  • 美國南加州大學電機工程學系研究助理(1999-2003)
  • 工業技術研究院電腦與通信研究所(1996-1998)

專長及研究領域

  • 基於脈動陣列之神經網路加速器與ESL應用方法
  • 基於深度學習之影像/影片超解析度
  • 深度學習神經網路模型壓縮
  • 應用於三維圖像之深度學習演算法
  • 應用於生物醫學影像之深度學習演算法

聯絡方式

  • 電話： +886-6-275-7575 ext. 62326
  • 傳真：+886-6-2345482
  • email：chkuo@ee.ncku.edu.tw
  • 地址：台南市東區大學路1號奇美樓95515室

著作

期刊論文( Journal )

  1. Y. -H. Lin, C. -J. Hsu, C. -H. Kuo and M. -D. Shieh, “Locating Image Objects With Probability Distributions,” in IEEE Signal Processing Letters, Vol. 29, pp. 2722-2726, 2022, doi: 10.1109/LSP.2022.3229566.
  2. C. -C. Lin, C. -H. Kuo and H. -T. Chiang, “CNN-Based Classification for Point Cloud Object With Bearing Angle Image,” in IEEE Sensors Journal, Vol. 22, pp. 1003-1011, 2021, doi: 10.1109/JSEN.2021.3130268.
  3. C. -H. Chiang, C. -H. Kuo, C. -C. Lin and H. -T. Chiang, “3D Point Cloud Classification for Autonomous Driving via Dense-Residual Fusion Network,” in IEEE Access, vol. 8, pp. 163775-163783, 2020, doi: 10.1109/ACCESS.2020.3021191.
  4. D. Chen and C. Kuo, “Modified Dual Path Network With Transform Domain Data for Image Super-Resolution,” in IEEE Access, vol. 8, pp. 97975-97985, 2020, doi: 10.1109/ACCESS.2020.2997028.
  5. J. Hsu, C. Kuo and D. Chen, “Image Super-Resolution Using Capsule Neural Networks,” in IEEE Access, vol. 8, pp. 9751-9759, 2020.
  6. Shih-Chieh Yu, Shao-Ming Lai, Chih-Hung Kuo and Jing-Hong Yu, “Lookup-Table-Based Error Compensation for Special Function Unit Based on Taylor Series Approximation,” IJEE, vol. 24, no. 5, pp. 177-184, 2017.
  7. C. H. Kuo, Y. L. Shih and S. C. Yang, “Rate Control via Adjustment of Lagrange Multiplier for Video Coding,” in IEEE Transactions on Circuits and Systems for Video Technology, vol. 26, no. 11, pp. 2069-2078, Nov. 2016.
  8. Min-Kuan Chang, Ting-Chen Chen, Che-An Shen, Wan-Jen Huang, Chih-Hung Kuo, and Chia-Chen Kuo, “New results on connectivity in wireless network,” Journal of Visual Communication and Image Representation, vol. 32, pp. 74-82, Oct. 2015.
  9. Chia-Hung Yeh, Po-Yi Sung, Chih-Hung Kuo, Ruey-Nan Yeh (2012, Oct), Robust laser speckle recognition system for authenticity identification, Optics Express, Vol. 20, No. 22, pp. 24382-24393.
  10. Chih-Hung Kuo, Chien-Ming Wang, and Jiung-Liang Lin, “Cooperative Wireless Broadcast for Scalable Video Coding,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 21, no. 6, pp. 816-824, June 2011.
  11. Li-Chuan Chang, Chih-Hung Kuo, and Bin-Da Liu, “A Two-Stage Rate Control Mechanism for RDO-Based H.264/AVC Encoders,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 21, no. 5, pp. 660-673, May 2011.

會議論文( Conference )

  1. H. Tseng, C. -H. Kuo, Y. Chen and S. Lee, “Edge-Guided Video Super-Resolution Network,” in 2022 IEEE International Conference on Recent Advances in Systems Science and Engineering (RASSE). (07-10 November 2022, Tainan, Taiwan)
  2. W. -T. Chang, C. -H. Kuo and L. -C. Fang, “Variational Channel Distribution Pruning and Mixed-Precision Quantization for Neural Network Model Compression,” in 2022 International Symposium on VLSI Design, Automation and Test (VLSI-DAT). (18-21 April 2022, Hsinchu, Taiwan)
  3. Y. -F. Tseng, M. -D. Shieh and C. -H. Kuo, “Low Latency Design of Polar Decoder for Flash Memory,” in 2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW). (15-17 September 2021, Penghu, Taiwan)
  4. C. -N. Liu, Y. -A. Lai, C. -H. Kuo and S. -A. Zhan, ” Design of 2D Systolic Array Accelerator for Quantized Convolutional Neural Networks,” in 2021 International Symposium on VLSI Design, Automation and Test (VLSI-DAT). (19-22 April 2021, Hsinchu, Taiwan)
  5. Chia-Ning Liu and Chih-Hung Kuo, “Convolution Accelerator for Low-Precision Neural Network”, 2019 VLSI Design/CAD Symposium. (6-9 August 2019, kaohsiung, Taiwan)
  6. De-Wei Chen ,and Chih-Hung Kuo, “Super-Resolution Image Reconstruction with Transform Domain Data”, Image Processing (CVGIP 2019). (25-27 August 2019, Taitung, Taiwan)
  7. Shao-Ming Lai, and Chih-Hung Kuo, “Efficient Dual-Precision Floating-Point Special Function Unit”, 2018 VLSI Design/CAD Symposium. (7-10 August 2018, Tainan, Taiwan)
  8. Yu-Yao Shen, and Chih-Hung Kuo, “Two Pass Rate Control for Consistent Quality Based on Down-sampling Video in HEVC, ” IEEE International Conference on Multimedia and Expo (ICME), July, 2018.
  9. Ying-Chan Tung, and Chih-Hung Kuo, “Effective CU size decision by convolutional neural network for HEVC”, 31th IPPR Conference on Computer Vision, Graphics, and Image Processing (CVGIP 2018). (19-21 August 2018, Tainan, Taiwan)
  10. Wei-Ting Lu, Chiew-Wei Len, Chih-Hung Kuo, and Ying-Chan Tung, “Image Super-Resolution Based on Error Compensation with Convolutional Neural Network”, 2017 Asia-Pacific Signal and Information Processing Association (APSIPA 2017). (12-15 December 2017, Kuala Lumpur, Malaysia)
  11. Chien-Wei Lin, and Chih-Hung Kuo, “Video Super-Resolution Using Convolutional Neural Network”, 2017 Taiwan Academic Network Conference (TANET). (25-27 October 2017, Taichung, Taiwan)
  12. Wei-Ting Lu, Chiew-Wei Len, Chih-Hung Kuo, and Ying-Chan Tung, “Image Super-Resolution Based on Error Compensation with Convolutional Neural Network”, 2017 Asia-Pacific Signal and Information Processing Association (APSIPA 2017). (12-15 December 2017, Kuala Lumpur, Malaysia)
  13. Chien-Wei Lin, and Chih-Hung Kuo, “Video Super-Resolution Using  Convolutional Neural Network”, 2017 Taiwan Academic Network Conference(TANET). (25-27 October 2017, Taichung, Taiwan)
  14. Wei-Ting Lu, Chien-Wei Lin, and Chih-Hung Kuo, “Multi-Scale Super Resolution with Convolutional Neural Network and Iterative Back Projection”, 30th IPPR Conference on Computer Vision, Graphics, and Image Processing (CVGIP 2017). (21-23 August 2017, Nantou, Taiwan)
  15. Yu-Kuan Lin, and Chih-Hung Kuo, “Approximation Decoding for RBFNN-Based Texture Compression”, 2017 Taiwan and Japan Conference on Circuits and Systems (TJCAS 2017).
  16. Meng-Yang Lu, and Chih-Hung Kuo, “A Low Latency Memory I/O Link Compression Architecture for GPU”, 2017 Taiwan and Japan Conference on Circuits and Systems (TJCAS 2017).
  17. Meng-Yang Lu, and Chih-Hung Kuo, “A Low latency Memory Compression Framework Using Based-Delta Bitmask”, 2017 VLSI Design/CAD Symposium.
  18. Yu-Kuan Lin, and Chih-Hung Kuo, “Variable-Size Block Texture Compression Using Radial Basis Function Neural Network”, 2017 VLSI Design/CAD Symposium.
  19. Min-Kun Sie, and Chih-Hung Kuo, “Indoor location estimation using BLE beacon with multiple transmission power levels”, Consumer Electronics-Taiwan(ICCE-TW), 2017 IEEE International Conference on, pp. 323-324.
  20. Wei-Ting Lu, Chien-Wei Lin, and Chih-Hung Kuo, “Multi-Scale Super Resolution with Convolutional Neural Network and Iterative Back Projection”, 30th IPPR Conference on Computer Vision, Graphics, and Image Processing (CVGIP 2017).
  21. Shih-Chieh Yu, Chih-Hung Kuo, and Jing-Hang Yu, “Error Compensation for Special Function Unit Based on High-order Taylor Series Approximation,” 2016 VLSI Design/CAD Symposium.
  22. Yu-Siang Ciou, and Chih-Hung Kuo, “Fast Coding Unit Selection for HEVC Using Machine Learning Trade-off between Speed and Performance,” 2016 Taiwan Academic Network Conference(TANET), pp. 338-343.

專利

  1. Wen-Yuan Chen and Chih-Hung Kuo, “Apparatus and method for echo cancellation,” US patent US5970154. Issued Date Oct. 19, 1999.
  2. Jia-Hung Lin, Chih-Hung Kuo, Chia-Hung Yeh, Hsuan-Hui Shih: Camera motion parameter retrieving system and solving process, United States Patent 8154604 B2. (Issue date: Apr. 10, 2012)
  3. 林家宏、郭致宏、葉家宏、施宣輝，「擷取攝影裝置動作參數之系統及其計算方法」，中華民國發明專利第I364005號。(公告日2012/05/11)

其他

  1. Develop Energy Efficient AI Acceleration Schemes for Edge AI Applications (Qualcomm)
  2. 符合OpenCL/TensorFlow API 規範的終端AI 處理器 (2018-2021) (MOST110-2634-F006-016)
  3. 具能量效率之OpenCL及OpenGL HSA相容GPU系統設計與實作 (2016-2017) (MOST105-2218-E006-024)
  4. 具能量效率之異質性架構系統中介語言GPU 之設計與實現 (2015) (MOST104-2220-E006-013)
  5. 符合OpenCL運算平台之關鍵系統技術開發與研究 (2013) (NSC102-2221-E006-272)
  6. 具易測試及除錯特性之智慧型低功率多核心系統之設計技術研發—從電子系統層級至矽晶片層級 (2010~2012) (NSC99-2220-E006-025)
  7. 電子系統層級設計技術開發及其在多格式系統晶片之應用 (2007-2009) (NSC96-2220-E006-005)
  8. 用於多媒體數位電視之畫面及時間取樣率轉換系統設計 (2006) (NSC95-2221-E006-459)
  9. 用於多媒體資料處理之可重置低功率單晶片網路系統平台的設計與實現—子計畫五：可重置NoC平台低功率通道編碼的設計 (2005) (NSC94-2213-E006-055)
  10. 嵌入式時空編碼系統之差分式設計 (2004) (NSC93-2218-E006-100)

特殊榮譽

  1. 102年度國科會整合型計劃「績優計畫獎」
  2. 國立成功大學103學年度教學優良教師獎
  3. 最佳論文獎 IWAIT/IFMIA 2015
  4. 2015指導學生 榮獲 2015 大學校院積體電路設計競賽 電子系統層級設計 佳作