Feng He (何峰)
 |
MPhil, |
About me
Currently, I am pursuing a master's degree at the University of Science and Technology of China (USTC) in China. My main research interests lie in multimodal learning and makeup transfer. Prior to this, I graduated from the School of Computer Science at Yangtze University in June 2023.
Looking for CS PhD position from 2026 Fall.Research
My research interests include:
Deep Learning
Vision-Language Models
Bearing Fault Diagnosis
Computer Vision
Current work
Makeup Transfer
Light Field Volume Reconstruction
Under review
Recent publications
F.He, X.Ning*, BeautyDiffusion: Generative Latent Decomposition for Makeup Transfer via Diffusion Models, Information Fusion (IF=14.8)[link].
F.He, Q.Ye*, "A Bearing Fault Diagnosis Method Based on Wavelet Packet Transform and Convolutional Neural Network Optimized by Simulated Annealing Algorithm", Sensors (IF = 3.4) [pdf]
F.He, K.Bai, Y.Zong, Y.Zhou, Y.Jing, G.Wu*, C.Wang "Makeup Transfer: A review", IET Computer Vision [pdf]
G.Wu, F.He*, Y.Zhou, Y.Jing,X.Ning,C.Wang "ACGAN : Age-Compensated Makeup Transfer Based on Homologous Continuity Generative Adversarial Network Model", IET Computer Vision [pdf]
Q. Chen , F.He, G.Wang, X.Bai, L. Cheng, X. Ning*, "Dual Guidance Enabled Fuzzy Inference for Enhanced Fine-Grained Recognition", IEEE Transactions on Fuzzy Systems(IF=10.7)[link].
X.Ning, F.He, X.Dong, W.Li*, "ICGNet: A Intensity-Controllable Generation Network based on the principle of homologous continuity for face attribute synthesis", Information Sciences (IF=8.1)[pdf].
X.Ning, W.Tian, F.He, W.Li*, X.Bai*, "Hyper-sausage coverage function neuron model and learning algorithm for image classification ", Patten Recognition (IF = 7.5) [pdf]
G.Wu, X.Ning*, L.Hou*, F.He, H.Zhang, A.Shankar "Three-dimensional Softmax Mechanism Guided Bidirectional GRU Networks for Hyperspectral Remote Sensing Image Classification", Signal Processing [pdf]
Q.Li, X.Huang, H.Chen, F.He, Q.Chen, Z.Wang* "Advancing Micro-Action Recognition with Multi-Auxiliary Heads and Hybrid Loss Optimization", ACM international conference on Multimedia[link].
Q.Li, H.Chen, X.Huang, M.He, X.Ning*, G.Wang, F.He, "Oral multi-pathology segmentation with Lead-Assisting Backbone Attention Network and synthetic data generation", Information Fusion (IF=14.8)[link].
Note: * indicates the corresponding author.
Full list of publications in Google Scholar.
Academic service
Reviewer
ACM Transactions on Multimedia Computing, Communications and Applications (ACM TOMM)
Knowledge-Based Systems
Concurrency and Computation: Practice and Experience
Connection Science
Displays
IET Computer VIsion
IET Image Processing
The Visual Computer
Projects
An Adaptive Bearing Fault Diagnosis System, 09.2021-06.2023
Develop an algorithm that can be used for bearing fault diagnosis
Use heuristics to tune hyperparameters
Using a combination of trust processing and deep learning to solve bearing fault diagnosis
Education
B.E., Yangtze University, 06.2023
M.S., University of Science and Technology of China(USTC), 06.2026
Competitions and awards
First prize , National College Student Computer Design Central and South Division, 6.2022
Third prize , National College Student Computer Design Central and South Division, 6.2022
Third prize , Blue Bridge Cup Hubei Division, 5.2022
Third prize , National College Student Computer Design Central and South Division, 5.2021
Third prize , Hubei Province Division of National College Students Mathematical Modeling Competition, 9.2021
Second prize , National College Student Entrepreneurship Comprehensive Simulation Competition, 9.2021
Honorable Mention , ICM2021, 1.2021
Work experience
Research Assistant, High Speed Circuits and Neural Networks Laboratory, Institute of Semiconductors, Chinese Academy of Sciences, Prof. Xin Ning, 01.2022-10.2022
Fund project declaration
Tracked, studied, reproduced, and improved up-to-date deep learning methods
Published papers on makeup transfer
Research Assistant, University of Texas at San Antonio(UTSA), Prof. Wei Zhai, 05.2022-10.2022
Research on image generation.
For reproducing the latest papers, making improvements,and writing academic papers
Published papers on computer vision related to natural disasters.
Research Assistant, University of Science and Technology of China(USTC), Prof. Quan Wen, now-9.2023
Research on Light Field Volume Reconstruction.
Focus on reproducing the latest papers, making improvements, and writing academic publications.
Previously published papers on light field reconstruction and related techniques.