Yongzhi Huang (黄勇志)

Yongzhi Huang (黄勇志) Photo 
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[Biography] [Research] [News] [Publications] [Achievements]

Biography

Yongzhi Huang (黄勇志) Photo 2 
  • I am Yongzhi Huang, currently pursuing my Ph.D. at the Data Science and Analytics Thrust (DSA) of Information Hub (Inf) at the Hong Kong University of Science and Technology (HKUST-GZ) under the guidance of Professor Kaishun Wu. I completed my Master's in August 2020 in CSSE at SZU, where Professor Lu Wang mentored me. Prior to that, I completed my Bachelor's in Computer Science and Minor in Finance in just 2 YEARS in August 2017. Before 2015, I gained five years of managerial expertise in the airborne unit of the PLA while also pursuing studies at the Air Force's "West Point". During this period, I received numerous prestigious international military awards. All of these experiences have contributed to my determination to succeed in my academic and research pursuits at HKUST.
  • I'm also known as the big cheese at Alioth Medical Assistant Technology Co., Ltd. which scored a whopping ONE MILLION in angel round funding -- thanks to bigwig backers like Coastal Fund, Shunde Fund, and official support funds. We have won the "Star of Nanshan Entrepreneurship", which is the "Oscar" in the entrepreneurial competition.
  • As someone who values lifelong learning, I enjoy exploring various fields of knowledge on topics including biology, medicine, economics, history, physics, philosophy and politics. I delve into real-life business scenarios and investment practices in my free time. I have hands-on experience in investing, and my annual return rate for the last six years has been more than 40%. Moreover, in 2022, I received a return on investment exceeding 200% .

    • Research Interests

    I am excited to tackle issues and delve into the areas of Ubiquitous Computing, Human-computer Interaction, and Wireless Communication. My company and I are both devoted to Empowering Underprivileged Groups. I yearn to accomplish advanced intelligent sensing technology and effective processing methods for solving real-life challenges. Additionally, I'm intrigued by machine learning, signal processing, and physical modeling in computer science.

    Publications

    * indicates Equal Contribution in the work; AR is short for Acceptance Rate; IF is short for Impact Factor.

    Wisdom Healthcare

    Yongzhi Huang's Mobicom 2023 paper, Lili 
    • [MobiCom’23] LiT: Toothbrushing monitoring using blue light from toothbrush [Link]
      Kaixin Chen, Lei Wang, Yongzhi Huang, Lu Wang, Kaishun Wu
      in Proceedings of the 29th Annual International Conference On Mobile Computing And Networking (ACM MobiCom ’23), Madrid, Spain, October 2-6, 2023. (CCF Rank: A, CORE: A*, AR: ~10%)

      Brief: By making a simple alteration to an electric toothbrush, it can be transformed into a smart toothbrush. This innovative toothbrush can detect your brushing habits and prompt you to correct any bad habits.

      [Paper][Slides][Demo][Artifact][BibTex]
    Yongzhi Huang's Mobicom 2021 paper, Vi-Liquid 
    • [MobiCom’21] Vi-Liquid: Unknown Liquid Identification with your Smartphone Vibration [Link]
      Yongzhi Huang, Kaixin Chen, Yandao Huang,Lu Wang, Kaishun Wu
      in Proceedings of the 27th Annual International Conference On Mobile Computing And Networking (ACM MobiCom ’21), New Orleans, LA, USA, October 25–29, 2021. (CCF Rank: A, CORE: A*, AR: ~10%)

      Brief: Up until now, diagnosing kidney disease at home has been a challenge. Traditionally, urine testing requires bulky equipment found in hospitals. However, our team has created a system that can accurately and quickly identify impurities like uric acid and protein in the urine, making it a more convenient and efficient option.

      [Paper][Slides][Demo][BibTex]

    Smart Cities & Industries

    Yongzhi Huang's paper, TMC 2023, Mobile Sensing 
    • [TMC'23] Beverage Deterioration Monitoring Based on Surface Tension Dynamics and Absorption Spectrum Analysis [Link]
      Yongzhi Huang, Kaixin Chen, Jiayi Zhao, Lu Wang, Kaishun Wu, in IEEE Transactions on Mobile Computing, 2023. (CCF Rank: A, CORE: A*, IF: 5.112)

      Brief: Detecting biological changes in the Industrial Internet of Things can be a challenging task. However, a solution we are exploring for the beverage industry to monitor microbial changes in liquids, including spoilage.

      [Paper][Demo][BibTex]
    Yongzhi Huang's Mobicom 2021 paper, Lili 
    • [MobiCom’21] Lili:Liquor Quality Monitoring Based on Light Signals [Link]
      Yongzhi Huang, Kaixin Chen, Lu Wang, Yinying Dong, Qianyi Huang, Kaishun Wu
      in Proceedings of the 27th Annual International Conference On Mobile Computing And Networking (ACM MobiCom ’21), New Orleans, LA, USA, October 25–29, 2021. (CCF Rank: A, CORE: A*, AR: ~10%)

      Brief: Wineries sometimes introduce other bacteria in unique ways, like stomping on them, to create special flavors. However, this complex microflora can lead to winemaking failures. Testing sealed wine for microbial changes can be risky and time-consuming. To address this, we developed a real-time system that monitors microbial changes. Our system eliminates the need for microbial culture methods, making microorganism measurement faster and safer.

      [Paper][Slides][Demo][BibTex]
    Yongzhi Huang's paper, Wireless Sensing 
    • [ICPADS’18] mm-Humidity: Fine-Grained Humidity Sensing with Millimeter Wave Signals [Link]
      Yongzhi Huang*, Qinglang Dai*, Lu Wang, Rukhsana Ruby, Kaishun Wu
      in Proceedings of the 2018 IEEE 24th International Conference on Parallel and Distributed Systems (ICPADS), Singapore, December 11–13, 2018. (CCF Rank: C, CORE: B, AR: ~30%)

      Brief: Did you know that it's possible to obtain humidity information without a hygrometer? Yes! Our system utilizes wireless signals to gather this data, making it incredibly convenient.

      [Paper][Slides][BibTex]
    Yongzhi Huang's paper, Wireless Sensing 
    • [ICC’17] Wi-fire: Device-free fire detection using WiFi networks [Link]
      Shuxin Zhong, Yongzhi Huang, Rukhsana Ruby, Lu Wang, Yuxuan Qiu, Kaishun Wu
      in Proceedings of the 2017 IEEE International Conference on Communications (ICC), Paris, France, May 21-25, 2017. (CCF Rank: C, QUALIS: A2, AR: ~38%)

      Brief: Upgrading the infrastructure and implementing fire prediction systems in older high-rise residential buildings can be a challenging task. Our research has revealed that flames are a type of plasma, which can obstruct signals and produce erratic interference with signal channels. Utilizing this knowledge, we have developed a novel fire detection system.

      [Paper][BibTex]

    Intelligent Daily Life

    Yongzhi Huang's paper, TMC 2021, Mobile Sensing 
    • [TMC'21] A Portable and Convenient System for Unknown Liquid Identification with Smartphone Vibration [Link]
      Yongzhi Huang, Kaixin Chen, Yandao Huang,Lu Wang, Kaishun Wu, in IEEE Transactions on Mobile Computing, 2021. (CCF Rank: A, CORE: A*, IF: 5.112)

      Brief: In areas where water infrastructure is lacking, such as Africa and Southeast Asia, it may be difficult to detect when water quality may be subpar. To address this issue, we have developed a system that utilizes mobile phone sensors to identify the quality of water. With this technology, it is possible to quickly and accurately determine whether the liquid is safe for consumption.

      [Paper][Demo][BibTex]
    Yongzhi Huang's paper, human-computer interaction  
    • [ICPADS’18] Oinput: A Bone-Conductive QWERTY Keyboard Recognition for Wearable Device [Link]
      Yongzhi Huang, Shaotian Cai, Lu Wang, Kaishun Wu
      in Proceedings of the 2018 IEEE 24th International Conference on Parallel and Distributed Systems (ICPADS), Singapore, December 11–13, 2018. (CCF Rank: C, CORE: B, AR: ~30%)

      Brief: Have you ever wondered if there is a way to type or chat with text in virtual reality that is similar to using a keyboard in real life? With our technology, we utilize a watch capable of detecting the vibrations generated by finger when typing, enabling replication of keystroke activity within the virtual world.

      [Paper][Slides][Demo][BibTex]

    Empowering Underprivileged Groups

    Yongzhi Huang's UbiComp 2022 paper, Lili 
    • [UbiComp/IMWUT’22] LiSee: A headphone that provides all-day assistance for blind and low-vision users to reach surrounding objects [Link]
      Kaixin Chen, Yongzhi Huang, Yicong Chen, Haobin Zhong, Lihua Lin, Lu Wang, Kaishun Wu
      in Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (ACM Ubicomp ’22), Atlanta, USA and Cambridge, UK, September 11 - 15, 2022. (CCF Rank: A, CORE: A*, AR: ~10%)

      Brief: Our goal was to create technology that assists visually impaired individuals in locating objects. We made adjustments to the design to eliminate any stigma and negative connotations associated with using the device due to their disability.

      [Paper][Slides][Demo][BibTex]

    IoT Hacking and Defending

    Yongzhi Huang's Mobisys 2022 paper, Lili 
    • [Mobisys’22] MagEar: Eavesdropping via Audio Recovery using Magnetic Side Channel [Link]
      Qianru Liao, Yongzhi Huang, Yandao Huang, Yuheng Zhong, Huitong Jin, Kaishun Wu
      in Proceedings of The 20th ACM International Conference on Mobile Systems, Applications, and Services (ACM Mobisys ’22), Portland, Oregon, June 27 - July 1, 2022. (CCF Rank: A, CORE: A*, AR: ~10%)

      Brief: Are you never concerned about the safety of your headphones? Surprisingly, someone can easily eavesdrop on what you are listening to with just a few dollars of equipment.

      [Paper][Slides][Demo][BibTex]

    News

    Yongzhi Huang's research, report, New Scientist 
    • [April 14, 2021] Yongzhi Huang's research work were report in the famous magazine New Scientist, the title is "Vibrations from a smartphone can help us spot unsafe drinking water". [Link]
    Yongzhi Huang's research, ACM Communication 
    • [April 14, 2021] The research work of Yongzhi Huang's team were published in the famous magazine ACM Communication, ACM TECHNEWS. [Link]
    Yongzhi Huang's interview, corporate representative, Shenzhen TV 
    • [March 17, 2021] Yongzhi Huang received a special interview with Shenzhen TV Station as a corporate representative. [Link]
    Yongzhi Huang's research, ACM Communication 
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    Selected Achievements

    获得2021年"南山创业之星" （7/20000+）。

    获得2021年"深创赛" 决赛 （100/31000+）。

    领导团队（陈凯鑫，许泳楠，成依洋，何芷晴，肖洁）获得2020年第十届全国大学生电子商务“创新，创意及创业”大赛 全国赛二等奖（18/50000+），作品名：《Watchmen-守护黑暗中的人们》，2020.05。

    领导团队（陈凯鑫，许泳楠，成依洋，何芷晴，肖洁）获得2020年第十届全国大学生电子商务“创新，创意及创业”挑战赛全国总决赛 最佳创新奖，2020.05。

    参与并指导本科生徐子清、陈凯鑫、冯思思获得2020年中国大学生计算机设计大赛 国赛一等奖，作品名：《VR新交互—基于商用手表的虚拟现实交互方法》，2020.10。

    领导团队（张士伟，王兆弘，黄乐洒，成依洋，何芷晴，肖洁，许泳楠，陈凯鑫等）第六届中国国际“互联网+” 大学生创新创业大赛广东赛区银奖 省赛银奖（12/157800），作品名：《艾琉视医疗科技-重塑视障者视觉，让盲人重见光明》，2020.06。

    参与并指导本科生杨锐雄、詹楷杰、罗静柳等“艾睿杯”中国大学生创新大赛  优胜奖（TOP1），2019.12。

    指导本科生黄艺媛嫄、伍旭星、蔡晓鑫获得第十二届“挑战杯”广东大学生创业大赛 省级银奖（~129/7400），2020.05。

    参与并指导本科生黄艺媛嫄、伍旭星、蔡晓鑫获得第十一届中国大学生服务外包创新创业大赛 国赛三等奖（160/455），作品名：《FaceInput——基于脸部振动的智能设备交互系统》，2020.07。

    参与并指导本科生徐子清、王兆弘、詹楷杰、陈凯鑫、鲁效君获得第十一届中国大学生服务外包创新创业大赛 三等奖， 作品名：《VA-eyes——盲人新视界》，2020.07。

    指导本科生伍旭星、蔡晓鑫、黄艺媛嫄获得2020年中国大学生计算机设计大赛 国赛三等奖，作品名：《FaceSensor-脸部感知交互系统》，2020.10。

    指导本科生伍旭星、蔡晓鑫、黄艺媛嫄获得2020年中国大学生计算机设计大赛 省赛一等奖，作品名：《FaceSensor-脸部感知交互系统》，2020.08。

    参与并指导本科生罗静柳、陈凯鑫、马灵茜获得2020年中国大学生计算机设计大赛 省赛赛一等奖，作品名：《开云见日-基于感官替代的盲人AI眼镜》，2020.08。

    参与并指导本科生杨正邦、戚可盈、罗静柳等获得第十二届“挑战杯”广东大学生创业大赛 省级铜奖（~450/7400），2020.05。

    参与并指导本科生陈凯鑫、许佳楠等获得深圳市“残健共融”残疾人创业创新大赛 银奖，2020.11。

    参与并指导全国大学生“龙腾杯”创新创意大赛（陈凯鑫组）一等奖，2019.12。

    参与并指导全国大学生“龙腾杯”创新创意大赛（杨锐雄组）一等奖，2019.12。

    参与并指导全国大学生“龙腾杯”创新创意大赛（许泳楠组）一等奖，2019.12。