
Hong Feng
Associatre Professor & Master's Supervisor
Shanghai Acoustics Laboratory, Institute of Acoustics, Chinese Academy of Sciences
Email: hongfeng@mail.ioa.ac.cn
Correspondence Address: 399 Xinlai Road, Jiading District, Shanghai
Postal Code: 201815
Research Areas
081002 - Signal and Information Processing
085400 - Electronic Information
070206 - Acoustics
Research Areas:
The areas of graduate students recruitment are as follows:
- AI-Based Acoustic Perception/Speaker Verfication
- Underwater sound target detection and recognition
- Design and Signal Processing of Novel Sonar systems
Experience
2017.7- | Shanghai Acoustics Laboratory, Institute of Acoustics, Chinese Academy of Sciences | Assist. Prof. (July 2017 - Nov. 2018) Assoc. Prof. (Since Nov. 2018) |
Also serving as: Master's Supervisor at the University of Chinese Academy of Sciences (UCAS). |
Publications
1. "Design of a Dynamic Voice Biometric Authentication System with Dual Decision for Fraud Prevention" at the National Acoustics Conference of CHINA, 2023, first author.
2. "Underwater acoustic target recognition based on dual attention networks and multiresolution convolutional neural networks," Technical Acoustics, 2023, corresponding author.
3. "A method to address beam cross coupling errors in phased array Doppler sonar," JASA Express Letters (SCI), 2023, corresponding author.
4. "Cluster-Guided Unsupervised Domain Adaptation for Deep Speaker Embedding," IEEE Signal Processing Letters (Q2 SCI), 2023, 2nd author.
5. "Polar code construction method for the polar coded modulation orthogonal frequency division multiplexing underwater acoustic communication," ACTA ACUSTICA, 2023, 48(3): 482-495, 4th author.
6. "Appication research of polar coded OFDM underwater acoustic communications," EURASIP Journal on Wireless Communications and Networking (SCI), 2023, 4th author.
7. "Research on primary frequency sound field suppression methods of focused parametric array," Technical Acoustics, 2022, 4th author.
8. "First Demonstration of Recognition of Manganese Crust by Deep-Learning Networks with a Parametric Acoustic Probe," MINERALS (Q3 SCI), 2022, 1st author.
9. "Underwater Acoustic Target Recognition with ResNet18 on ShipsEar Dataset," IEEE ICET 2021, 2021, 1st author.
10. "Underwater Acoustic Target Recognition with a Residual Network and the Optimized Feature Extraction Method," APPLIED SCIENCES-BASEL (SCI), 2021, corresponding author, cited 51 times.
11. "Underwater Acoustic Target Recognition Based on Dual Attention Networks and Multiresolution Convolutional Neural Networks," IEEE Oceans 2021, 2021, corresponding author.
12. "TREADMILLS FAULT DETECTION USING A CNN-SVM MODEL BASED ON FUSION FEATURE," ICSV27, 2021, corresponding author.
13. "Environmental Sound Classification Based on Stacked Concatenated DNN using Aggregated Features," JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY (SCI), 2021, corresponding author.
14. "Evaluation of the recognition of Cobalt-Rich Manganese Crusts based on Deep Learning Networks with physical phantoms," GLOBAL OCEANS 2020: SINGAPORE - U.S. GULF COAST, 2020, corresponding author.
15. "An effective method for measuring the thickness of Cobalt-rich Manganese Crust based on the neighborhood information and dual-channel information," 23RD International Congress on Acoustics, ICA 2019, 2019, corresponding author.
16. "China's First Demonstration of Cobalt-rich Manganese Crust Thickness Measurement in the Western Pacific with a Parametric Acoustic Probe," SENSORS (SCI, Q2, IF=3.9), 2019, corresponding author.
17. "Maritime Surveillance With Undersampled SAR," IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (SCI, Q1, IF=4.8), 2017, 4th author.
18. "Interferogram denoising using an iteratively refined nonlocal InSAR filter," REMOTE SENSING LETTERS (SCI, Q1, IF=4.8), 2017, corresponding author.
19. "An Improved Processing Scheme of Digital Beam-Forming in Elevation for Reducing Resource Occupation," IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (SCI, Q1, IF=4.8), 2016, 5th author, cited 26 times.
20. "First Bistatic Demonstration of Digital Beamforming in Elevation With TerraSAR-X as an Illuminator," IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (SCI, Q1, IF=8.2), 2016, 4th author, cited 66 times.
21. "Spaceborne/stationary bistatic SAR imaging with terrasar-x as an illuminator in staring-spotlight mode," IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (SCI, Q1, IF=8.2), 2016, 6th author, cited 62 times.
22. "Integrated Time and Phase Synchronization Strategy for a Multichannel Spaceborne-Stationary Bistatic SAR System," REMOTE SENSING (SCI), 2016, 1st author.
23. "Multichannel dem reconstruction method based on markov random fields for bistatic sar," SCIENCE CHINA-INFORMATION SCIENCES (SCI Q1, IF=8.8), 2015, 1st author.
24. "New building signature extraction method from single very high-resolution synthetic aperture radar images based on symmetric analysis," JOURNAL OF APPLIED REMOTE SENSING (SCI), 2015, 4th author.
25. "Efficient hardware architecture for miniature SAR on-board imaging processing system," Systems Engineering and Electronics Technology (EI), 2014, 1st author.
Research Interests
l Application of speaker Verification and AI Technology in Underwater Acoustic Target Detection and Identification Deep Learning-Based Speaker Verification and Sound Information Processing: (1) Design of anti-counterfeiting for identity authentication and text-independent voiceprint recognition technology. (2) Research on text-independent voiceprint recognition technology under domain adaptation. (3) Design of speech synthesis systems based on deep learning. (4) Algorithm and system design for recognition of sign language for the deaf and mute. (5) Application of artificial intelligence technology in the "Tranquil China" initiative.
New Data, Methods, Architectures, and Devices for Underwater Target Identification (Targeting National Major Demands in Basic Applied Research and Projects Funded by Natural Funds): (1) Research on open-set underwater target identification algorithms under semi-supervised learning. (2) New methods for detection and identification of underwater targets based on arrays. (3) Deployment and optimization techniques for sonar detection models based on edge computing platforms. (4) Ship identification technology based on large-scale marine observation data. (5) Robust feature extraction techniques applicable to underwater target identification. |
Students
现指导学生
郑婉 硕士研究生 085400-电子信息
杜箫扬 硕士研究生 081002-信号与信息处理
崔亚祺 硕士研究生 081002-信号与信息处理
朱栋圻 硕士研究生 085400-电子信息
邓淑文 硕士研究生 081002-信号与信息处理
Talent Programs
Projects
Brief Introduction
HONG Feng is a PI & Associate Professor at the Shanghai Acoustics Laboratory, Institute of Acoustics, Chinese Academy of Sciences, and a supervisor at the University of Chinese Academy of Sciences (UCAS). He is a member of both the Acoustical Society of China and the Acoustical Society of America, as well as an IEEE member. Additionally, Dr. Hong is a member of the Shanghai Science and Technology Expert Database, the Shanghai Youth Science and Technology Association, and the Shanghai Youth Association for Science and Technology Talents.
Dr. Hong's primary research interests include acoustic signal processing, AI-based acoustic perception, speaker verification, and the design of novel sonar systems. He has led and participated in more than 20 significant research projects, including those funded by the National Natural Science Foundation of China, two projects under the National Key Research and Development Program, a major instrumentation project by the National Natural Science Foundation, an international seabed exploration project by the China Ocean Mineral Resources R&D Association, a forward-looking project by the Marine Science and Technology Innovation Project of the CAS, the Shanghai Natural Science Foundation, and frontier exploration projects at the Institute of Acoustics, Chinese Academy of Sciences.
In 2019 and 2020, Dr. Hong participated in national marine scientific expeditions twice. He has developed acoustic detection equipment that has been successfully deployed on submersible platforms such as the "Hailong" ROV and "Jiaolong" HOV, achieving China’s first fine acoustic in-situ survey of deep-sea mineral resources. His research findings have been featured multiple times on the State Council’s official website and covered by CCTV.
Dr. Hong has received numerous recognitions and funding awards, including the 2019 Jiading District Youth Talent Program (Shanghai Jiading District), the 2020 Shanghai Talent Development Fund (Shanghai, Funding No. 2020011), the 2021 Chinese Academy of Sciences Youth Innovation Promotion Association funding (CAS, Funding No. 2021022), and the 2023 Chinese Academy of Sciences Shanghai Branch Youth Talent Program (Project Leader Training Program, Goal Achieved Category).
Dr. Hong has extensive academic and professional affiliations. He is a reviewer for prestigious journals such as IEEE Transactions on Oceanic Engineering, Elsevier Ocean Engineering, IEEE/ACM Transactions on Audio, Speech, and Language Processing, Applied Acoustics, Expert Systems with Applications, IEEE Geoscience and Remote Sensing Letters, IEEE Transactions on Geoscience and Remote Sensing, Technical Acoustics, Journal of Beihang University ,and Journal of Southeast University.
Dr. Hong has engaged in notable collaborative research efforts, including a cooperation with the Hong Kong Polytechnic University on domain adaptive speaker recognition. In 2023, he participated in an academic exchange at the Hong Kong Polytechnic University, funded by Shanghai Talent Development Fund.
Dr. Hong has published over 20 papers indexed by SCI and EI and holds more than 10 domestic and international invention patents, including US and EP patents. He has also participated in FPGA cloud acceleration for Bing search at Microsoft Research Asia (Beijing) in 2017 and has extensive experience in FPGA signal processing, AI edge computing, and other engineering applications. Annually, the students he mentors receive numerous accolades, including national scholarships, the “Bank of China -CAS Outstanding Student” award from the Shanghai Branch of the Chinese Academy of Sciences, and honors such as Shanghai and CAS Excellent Student awards. His students often pursue careers in research institutions, China State Shipbuilding Corporation, China Electronics Technology Group Corporation, Huawei, and other industry-leading companies.