博士申请 | 香港科技大学（广州）Gareth Tyson教授招收全奖博士生

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香港科技大学（广州）

HKUST: The Hong Kong University of Science and Technology (HKUST) is a leading international university ranked 1st by Times Higher Education Young University Rankings 2020 and 27th by the QS World University Rankings 2021. HKUST is establishing a new campus in Guangzhou, China ( hkust-gz.edu.cn ). Our new campus complements the existing Hong Kong campus, with extensive links and opportunities for intellectual exchange. We have an international outlook with staff, students and collaborations from around the globe, opening up a world of possibilities for our students. Cross-disciplinarity is at our heart: our new campus will be themed around hubs that bring together researchers from a range of disciplines. Collaboration is actively encouraged, and students will have the opportunity to work across traditional disciplinary boundaries. 

Location: The new HKUST (GZ) campus sits in 530,0002 metres of impressive parkland. It is adjacent to the Guangzhou-Shenzhen-Hong Kong High-speed Railway, and is accessible to six rail transit lines, including national and intercity railway links and metro lines. A high-speed train trip to Shenzhen takes 21 minutes and that to Hong Kong 35 minutes. Guangzhou itself is a diverse and exciting Alpha city, with a thriving tech sector.

About Dr. Gareth Tyson

Short Bio: Gareth Tyson is an Assistant Professor at IoT Thrust, HKUST (GZ), having served as a Senior Lecturer at Queen Mary University of London, and a Fellow at the Alan Turing Institute (UK). At Queen Mary University of London, he was Deputy Director of the Institute of Applied Data Science (IADS) and led the Social Data Science Lab (SDS). Over the last 4 years, he had been awarded almost ¥17 million in research funding. He has published more than 80 academic papers, with around 3100 citations and an h-index of 30. According to CSrankings.org, he is the highest ranked UK academic in both the Web and Measurement & Performance Analysis research categories. His work has received global coverage from news outlets such as MIT Tech Review, Washington Post, Slashdot, BBC, The Times, Daily Mail, Wired, Science Daily, Ars Technica, The Independent, Business Insider and The Register, as well being interviewed for TV, radio, and books. He serves as a program committee member for numerous “top tier” international conferences such as ACM SIGMETRICS, ACM IMC, ACM WWW, ACM CoNEXT, IEEE ICDCS and AAAI ICWSM, as well as regularly serving on the organizing committee of similar “top tier” venues. 

He has received various awards for his research and community contributions. He has received the Outstanding Reviewer Award four times at ICWSM (2016, 2018, 2019, 2021). His research was awarded the Facebook/WOAH Shared Task on Hateful Memes Prize 2021; the Best Student Paper Award at the Web Conference 2020; the Best Paper Award at eCrime'19; the Honourable Mention Award at the Web Conference 2018 (best paper in track); and the Best Presentation Award at INFOCOM'18. While at Queen Mary University of London, he received the Faculty Research Excellence Award in 2021 and the Brendan Murphy Memorial Young Researcher Prize in 2013.

Personal Website:

http://www.eecs.qmul.ac.uk/~tysong/

Research interests

1. Internet Measurements 

2. Web

3.  Social Computing

4. Cybersafety

Research Projects

Example Project 1： Moderating malicious behavior has become a major challenge for organizations, such as Facebook, YouTube and Instagram. The arrival of always-connected sensing (e.g. smartphones) has further exacerbated this problem. For instance, the ability for any user to upload material at any time (e.g. text, videos, audio) means that these platforms can be exploited for various types of harmful activities, e.g. disseminating hate speech, stalking and cyberbullying. Due to this, huge teams of people are employed to manually monitor user activities and check if they breach platform policies. This is inefficient and non-scalable. This project involves (1) Collecting and analyzing large-scale web and IoT datasets that reveal how platforms perform existing harm moderation; and; then (2) Building on these datasets to develop new (machine learning) techniques for automated moderation. 

Example Project 2： Our lives are becoming increasingly connected through the deployment of numerous devices that integrate seamlessly into our environments, e.g. smartphones, watches, cameras and other forms of interactive sensors/actuators. This opens up a range of new privacy risks, with the potential for large-scale data collection and analysis (e.g. by international corporations). This data can subsequently be (mis)used for various purposes, which users may not give explicit informed consent for. This project involves (1) Developing data-driven methodologies to identify privacy risks within IoT services (e.g. smart cameras); and (2) Developing techniques to automatically filter the extrication of private data from devices in a fashion that enables privacy-enhanced IoT applications.

Achievements/publications

Recent select publications include:

• Jinyang Li, Zhenyu Li, Gareth Tyson and Gaogang Xie. Characterising Usage Patterns and Privacy Risks of a Home Security Camera Service. In IEEE Transactions on Mobile Computing (TMC) (2021).

• Anaobi Ishaku Hassan, Aravindh Raman, Ignacio Castro, Haris Bin Zia, Emiliano De Cristofaro, Nishanth Sastry and Gareth Tyson. Exploring Content Moderation in the Decentralised Web: The Pleroma Case. In 17th ACM International Conference on emerging Networking EXperiments and Technologies (CoNEXT), Munich, Germany (2021).

• Yuheng Huang, Haoyu Wang, Lei Wu, Gareth Tyson, Xiapu Luo, Run Zhang, Xuanzhe Liu, Gang Huang and Xuxian Jiang. Understanding (Mis)Behavior on the EOSIO Blockchain. In ACM SIGMETRICS, Boston, MA (2020).

• Yangyu Hu, Haoyu Wang, Ren He, Li Li, Gareth Tyson, Ignacio Castro, Yao Guo, Lei Wu and Guoai Xu. Mobile App Squatting. In 29th Web Conference (WWW), Taipei, Taiwan (2020).

• Aravindh Raman, Sagar Joglekar, Emiliano De Cristofaro, Nishanth Sastry and Gareth Tyson. Challenges in the Decentralised Web: The Mastodon Case. In 19th ACM Internet Measurement Conference (IMC), Amsterdam, Netherlands (2019).

• Damilola Ibosiola, Ignacio Castro, Gianluca Stringhini, Steve Uhlig and Gareth Tyson. Who Watches the Watchmen: Exploring Complaints on the Web. In 28th Web Conference (WWW), San Francisco (2019).

Admission Requirements

1. PhD Student applicants should have a passion for developing fundamentally new approaches to solving real-world problems. Our work is largely empirical, and we tend to follow a two-phase methodology. 

2. First, we gather real-world datasets that allow us to formalize and quantify specific problems. Second, we then develop new techniques that can address those newfound problems. For example, our recent research into Facebook Live involved gathering large-scale data on how people access such mobile video streaming services, before devising new techniques to improve user quality of experience. 

3. Thus, strong programming and data analysis skills are critical. A robust understanding of statistics and machine learning are a bonus. Applicants will be expected to have a high GPA from a recognized institute and possess a creative mindset. The lab collaborates internationally, and our working language is English. Hence, being open to work with a diversity of people and disciplines is vital.

Contacts

If you’d like to apply for the PhD program in IoT Thrust and join Prof. Tyson’s team, you may contact him at gtyson@ust.hk and submit the application via HKUST Online Application System. 

For more information, please visit： pg.ust.hk/gz 

Welcome to join!

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实习内推

阿里巴巴达摩院对话智能团队 ｜ 字节跳动AI Lab ｜ 微软亚洲研究院深度与强化学习组 ｜ 阿里巴巴达摩院决策智能实验室 ｜ 元象唯思认知智能组｜ 阿里巴巴淘系技术部 ｜ 腾讯天衍实验室 ｜ 微软亚洲研究院机器学习组 ｜ 美团点评技术部 ｜ 京东广告质量部 ｜ 美团搜索与NLP部 ｜ 香港中文大学（深圳）｜ 爱奇艺AI视频分析算法团队 ｜ 腾讯广告多媒体AI中心 ｜ 华为诺亚方舟实验室 ｜ 微软亚洲互联网工程院 ｜ 美团视觉智能中心 ｜ 上海人工智能实验室｜蔚来自动驾驶部门｜酷哇机器人｜平安科技｜京东探索研究院｜澜舟科技｜北京招聘 | 新浪微博｜百度智能生活事业群组｜美团无人车配送中心｜华为诺亚推荐搜索实验室｜Momenta｜快手｜微软亚洲研究院DKI组｜京东视觉基础研究部｜上海人工智能实验室｜粤港澳大湾区数字经济研究院｜中国三星研究院｜第四范式｜腾讯IEG｜深透医疗｜清华大学智能产业研究院｜ 中科院自动化所 ｜ 华为诺亚方舟实验室 ｜ 字节跳动广告基础技术团队 ｜ 微软亚洲研究院系统组 ｜ 腾讯视频 ｜ OpenMMLab ｜ 麻省理工学院 ｜ 腾讯微信 ｜ 美团语音交互部 ｜ 字节跳动 ｜ 腾讯游戏 ｜ 商汤科技EIG研究中心 ｜ 平安科技人工智能中心 ｜ 阿里达摩院机器智能技术团队 ｜ 京东科技人机交互技术部 ｜ 小红书 ｜ 微软亚洲研究院机器学习组 ｜ 平安科技知识图谱部门 ｜ 美团APP ｜ 腾讯AI Lab视觉计算中心 ｜ 微软亚洲研究院DKI组 ｜ 京东AI研究院 ｜ 智源研究院 ｜ 百度NLP ｜ 微软亚洲研究院多媒体计算组 ｜ 字节跳动广告团队 ｜ 地平线视觉算法团队 ｜ 贝壳AI创新研究部 ｜ 阿里云视频智绘团队 ｜ 清华大学智能产业研究院 ｜ 哈啰出行NLP团队 ｜ 快手 ｜ 蚂蚁集团图学习团队 ｜ 微软亚洲研究院DKI组 ｜ 字节跳动三维视觉算法团队 ｜ 阿里云开发者社区 ｜ 北京内推 | 字节跳动Data团队招聘NLP算法/推荐算法实习生 ｜ 腾讯IEG计算广告算法组 ｜ 京东搜索与推荐平台部 ｜ 华为旗舰算法团队 ｜ 爱奇艺（上海） ｜ 阿里达摩院语言技术实验室 ｜ 美团无人车团队 ｜ 华为诺亚方舟实验室 ｜ 阿里达摩院生物医学团队 ｜ 微软亚洲研究院 ｜ 字节跳动商业化技术算法团队 ｜ 微软Bing China组 ｜ 京东广告部推荐定向组 ｜ 微信AI北京团队 ｜ 字节跳动抖音直播团队 ｜ 微软亚洲研究院（上海） ｜ 腾讯优图实验室 ｜ 诺亚方舟语音语义实验室 ｜ 百度研究院 ｜ 滴滴安全部图像算法组 ｜ 哔哩哔哩 ｜ 网易智慧企业事业部 ｜ 诺亚方舟实验室智能工业视觉组 ｜ 阿里巴巴达摩院 ｜ 微软亚洲互联网工程院 ｜ 快手Y-Tech部门 ｜ 百度视觉技术部 ｜ 阿里达摩院XR实验室 ｜ 腾讯TEG-AI平台部 ｜ 阿里达摩院AliceMind语言模型团队 ｜ 字节跳动智能创作图像团队 ｜ 贝壳人工智能技术中心 ｜ 小红书社区技术部算法组 ｜ 阿里达摩院多模态翻译团队 ｜ 粤港澳大湾区数字经济研究院 ｜ 字节跳动电商平台治理算法团队 ｜ 华为2012实验室 ｜ 微软亚洲研究院（上海）AI-ML组

校招岗位

字节跳动搜索团队｜百度搜索策略部｜京东广告质量部｜ 阿里巴巴达摩院对话智能团队 ｜华为诺亚方舟实验室｜百度智能生活事业群组｜中科院自动化所｜百度自然语言处理部ERNIE团队｜旷视研究院3D组｜ OpenMMLab ｜ 轻舟智航 ｜ 阿里达摩院XR实验室 ｜ 腾讯TEG-AI平台部

社招岗位

OPPO数据智能隐私计算团队｜百度ACG智慧城市事业部｜阿里巴巴达摩院决策智能实验室｜元象唯思认知智能组｜京东搜索检索团队｜远鉴科技｜腾讯天衍实验室｜华为诺亚方舟实验室｜上海人工智能实验室｜澜舟科技｜百度智能生活事业群组｜中科院自动化所｜浙江大学杭州国际科创中心｜中国三星研究院｜深透医疗｜旷视研究院3D组｜OpenMMLab｜PayPal｜百度视觉技术团队｜360人工智能研究院｜聆心智能｜美团骑行算法团队｜深圳瑞德林生物｜清华OpenBMB团队｜腾讯微信事业群｜OPPO研究院｜阿里达摩院XR实验室｜字节跳动智能创作图像团队

高校招生

清华大学李涓子教授｜香港大学｜香港中文大学（深圳）｜香港中文大学（深圳）吴保元教授课题组｜香港大学NLP实验室｜南洋理工大学｜北京大学智能计算与感知实验室｜麦吉尔大学智能自动化实验室｜香港中文大学LaVi实验室｜悉尼科技大学｜北京大学段凌宇教授课题组｜英属哥伦比亚大学｜慕尼黑工业大学｜宾州州立大学｜香港科技大学｜香港中文大学AIoT实验室｜北京大学崔斌教授组｜香港大学赵恒爽助理教授｜澳门大学吴晓伟助理教授｜香港大学韩锴课题组｜悉尼科技大学｜清华大学NLP实验室｜北京大学智慧城市与大数据小组｜北京大学林亦波老师课题组｜上海财经大学语言智能实验室｜普渡大学郭齐教授组｜京都大学Ko Nishino教授组｜香港理工大学石杰明老师组｜澳门大学汪澎洋助理教授｜澳门科技大学｜香港中文大学（深圳）｜佐治亚理工学院｜达特茅斯学院｜澳门科技大学何继光老师组｜新加坡国立大学WING实验室｜北京大学王选所VDIG组｜纽约州立大学布法罗分校｜亚利桑那州立大学｜香港科技大学（广州）｜哈尔滨工业大学（深圳）｜杜克大学徐攀助理教授｜美国埃默里大学｜UIUC张令明老师组｜加州大学Merced分校｜清华大学NLP实验室｜北京大学知识计算实验室｜宾州州立大学 (PSU) ｜香港科技大学（广州）｜西交利物浦大学｜上海交通大学｜香港中文大学（深圳）｜香港中文大学王思博助理教授｜华中科技大学｜西湖大学蓝振忠助理教授｜慕尼黑工业大学｜约翰霍普金斯大学｜宾夕法尼亚州立大学｜清华大学刘永进教授｜香港理工大学｜香港科技大学（广州）熊辉教授｜佐治亚理工学院｜北京大学深度视频研究室｜香港科技大学（广州）李松泽教授｜伦敦玛丽女王大学｜清华大学胡志睿课题组｜上海交通大学袁野课题组｜香港科技大学（广州）信息枢纽｜香港中文大学（深圳）｜香港科技大学（广州）曾宪国课题组｜弗吉尼亚理工贾若溪老师组｜浙江大学陈华钧教授

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