Photo
*This photo was taken by my friend, Haibo Jin and his girlfriend, thanks!

Yifeng WANG (王羿沣)

Carnegie Mellon University
Electical and Computer Engineering
Affilated: School of Computer Science | Software and Societal Systems
TCS Hall RM231 Mobile Sensing Lab
yifengw3 at andrew.cmu.edu
yifengw3 at cs.cmu.edu
yifeng.wang at connect.polyu.hk
Top 100 Favorite Songs
Some photos
You can add my wechat by sending email to me.


I am a Ph.D. student at Carnegie Mellon University, supervised by Prof. Justin Chan. I am affiliated with Mobile Sensing Lab. I'm also collaborating with Prof. Swarun Kumar and Mr. Kuang Yuan. I completed the bachelor degree at PolyU, supervised by Prof. Yuanqing Zheng and by Prof. Ka Chung Boris NG. I was also supervised by Prof. Tianyi Zhang at Purdue CS in Human-Centered Software Systems Lab, Prof. Haohan Wang at UIUC School of Information Sciences in DREAM Lab, Prof. Pengtao Xie at UCSD ECE, Prof. Mingmin Zhao at UPenn CIS.

My research interests mainly focus on the intersection of wireless systems, machine learning and their potential applications on healthcare. My long-term research goal is to create intelligent systems that are easily applicable in real-world scenarios, particularly in areas with healthcare disparities. I am committed to building fundamental systems which can be: 1. easily set up. 2. cheap enough. 3. robust in different environments.

My past research focused on Machine Learning (ML) and Deep Learning (DL), with the intersection of Physics (Light, Electromagnetic Waves), Biomedical (Proteins, Alzheimer's Disease), and Wireless Systems (LoRa signals). To be exact, I once researched Artificial Intelligence (AI) for Science, Computer Vision (CV), Natural Language Processing (NLP), Machine Learning (ML), Internet of Things (IoT) Systems and Robotics. If you are also interested in these fields, welcome to communicate with me in these areas. I also worked with Prof. Lingjie Liu, Prof. Ningning Hou, Mr. Zhi Tu, Dr. Xueying Zhan, Prof. Siyu Huang closely.

My dear girlfriend, Ms. Xinyu Wang, works on Computational Biology. Her goal is to leverage machine learning algorithms for molecular modeling and model evaluation to enhance human understanding of macromolecules—particularly proteins and protein-RNA complexes. Feel free to focus on her work!

At last, my research philosophy is to use technology to benefit people in the world. COVID-19 once destroyed my most important things, and there are many people suffering from various diseases, so I hope to utilize my knowledge to protect the people I love.

*Love is the difference between humans and machines.

My Favourite Sentence:

  • 春风若有怜花意,可否许我再少年。

  • News:


    Education:

    Carnegie Mellon University (CMU)

    2024-

    Ph.D. in Electrical and Computer Engineering


    Hong Kong Polytechnic University (PolyU)

    2019-2023

    BSc (Hons) COMPUTING

    Minor In Applied Mathematics.




    Handan Number1 Middle School

    2016-2019

    teacher in charge of class: Xiankun Guo





    Research Experience:

    Multimodal NeRF
    Graduate Research Intern
    Supervised by Prof. Mingmin Zhao, co-mentored by Prof. Lingjie Liu

    Jun 2023- Nov 2023

    Working with Prof.Mingmin Zhao at University of Pennsylvania, focusing on developing general rendering models (RF NeRF-based) to reconstruct 3D scenes using Radio Frequency signals.




    Proteomics Peptide Sequence Analysis
    Graduate Research Intern
    Supervised by Prof. Pengtao Xie

    Jun 2023- Dec 2023

    Working with Prof.Pengtao Xie at the University of California, San Diego, focusing on developing novel ML models (Transformer based) for proteomics mass spectrum data to predict peptide sequence.




    3D VIT medical Imaging
    Graduate Research Intern
    Supervised by Prof. Haohan Wang

    Mar 2023- Apr 2024

    Working with Prof.Haohan Wang at University of Illinois, Urbana-Champaign, focusing on developing ML algorithm (Vision Transformer based) to diagnose Alzheimer's Diseases.




    Neural Symbolic Image Labeling
    Summer Research Intern
    Supervised by Prof. Tianyi Zhang.

    May 2022- Apr 2024

    Working with Prof.Tianyi Zhang at Purdue University, focusing on developing AI algorithm (FOIL method) to implement an image labeling tool (backend developer).



    LoRa and IoT
    Undergraduate research student
    Supervised by Prof. Yuanqing Zheng.

    Jun 2022- Oct 2023

    Working with Prof.Yuanqing Zheng and Dr.Ningning Hou at PolyU, focusing on improving LoRa linkage quality and capacity.



    Auto Coffee Machine Robots
    Student Assistant
    Supervised by Prof. Yuanqing Zheng.

    Oct 2021- Oct 2022

    Working in PolyU Research Center on Data Science and Artificial Intelligence, focusing on developing algorithm to control Robot arm for providing coffee to customers (Cooperation with NLP and CV part, founded by PolyU).




    Adversarial Attacks on Financial Sentiment Analysis
    Research Student
    Supervised by Prof. Ka Chung Boris NG.

    July 2022- present

    Working under Undergraduate Research and Innovation Scheme (URIS) project, focusing on using NLP and ML to solve adversarial attacks on annual report.






    Publications:

    HEPHA: A Mixed-Initiative Image Labeling Tool for Specialized Domains
    Shiyuan Zhou*, Xiyuan Chen*, Bingxuan Li*, Zhi Tu, Yifeng WANG, Yiwen Xiang and Tianyi Zhang
    ACM Conference on Intelligent User Interfaces (IUI) (2025) / Paper / Code
    MoLoRa: Intelligent Mobile Antenna System for Enhanced LoRa Reception in Urban Environments Ningning Hou, Yifeng WANG, Xianjin Xia, Shiming Yu, Yuanqing Zheng and Gu Tao
    ACM Conference on Embedded Artificial Intelligence and Sensing Systems (SenSys) (2025) / Paper
    Rapid Image Labeling via Neuro-Symbolic Learning
    Yifeng WANG*, Zhi Tu*, Yiwen Xiang, Shiyuan Zhou, Xiyuan Chen, Bingxuan Li, and Tianyi Zhang
    ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING (SIGKDD) (2023) / Paper / Code / Video

    One Shot for All: Quick and Accurate Data Aggregation for LPWANs
    Ningning Hou, Xianjin Xia, Yifeng WANG, Yuanqing Zheng,
    IEEE International Conference on Computer Communications (INFOCOM) (2023) / Paper

    One Shot for All: Quick and Accurate Data Aggregation for LPWANs
    Ningning Hou, Xianjin Xia, Yifeng WANG, Yuanqing Zheng,
    IEEE/ACM Transactions on Networking (TON) (Extension version of INFOCOM) / Paper



    Under Review:

    ADAPT: Alzheimer’s Diagnosis through Adaptive Profiling Transformers
    Yifeng WANG, Ke Chen and Haohan Wang
    Preprint (2024) / Paper
    From Tissue Plane to Organ World: A Benchmark Dataset for Multimodal Biomedical Image Registration using Deep Co-Attention Networks
    Yifeng WANG, Weipeng Li, Thomas Pearce and Haohan Wang
    Preprint (2024) / Paper / Code
    DS-ViT: Dual-Stream Vision Transformer for Cross-Task Distillation in Alzheimer's Early Diagnosis
    Ke Chen, Yifeng WANG, Yufei Zhou and Haohan Wang
    Preprint (2024) / Paper /
    AutoAL: Automated Active Learning with Differentiable Query Strategy Search
    Yifeng WANG, Xueying Zhan and Siyu Huang
    Preprint (2024) / Paper /


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    Society Service:

    Professional Service
  • Reviewer for MICCAI 2025
  • PC Member for AAAI 2024
  • Reviewer for NeurIPS 2023
  • Working experience
  • Worked in Apt chip company, focusing on research of speech recognition for chip and debugging the program, Jun 2021 - Aug 2021
  • Social service
  • Gave a talk to my high school in Dec 2019 to teach learning methods and my own experience.
  • Volunteer Teacher helping students with learning in Chengdu Xishu Primary School in Jun 2020.
  • Served as group leader for the Non-local Freshman Orientation Program in Sep 2021.

  • More About Me:

    Award
  • Fritsch Family Fellowship 2024-2025
  • Carnegie Institute of Technology Dean's Fellowships
  • Best Final Year Project Second Runner Up 2023
  • Dean's Honored List 2021-2022
  • Hong Kong Blockchain Developer Hackathon 2021, Hong Kong SAR, Feb. 2021
  • Life motto
  • You're not second to anyone.
  • Talk is cheap, show me the code.
  • Favourite song
  • The Honored Guest
  • More
  • I love small animals!