I am a resident of Taiwan that has a work visa in Hong Kong. I have comprehensive experience in the IT industry, including more than 10 years of experience in C# and Python programming, 2 years of experience in education, and more than 5 years of experience in technical and product management. Expert in Blockchain, Conversational AI, Recommender System, Statistics and Data Analysis; experienced in Smart Contract, DeFi, Chatbot, E-Commerce and Live Streaming.
http://www.lionethan.com (My tech blog)
Company profile:
Job description:
Responsibilities:
Reports to: Group CEO
See more:
Company profile: GreenDoge Network provide enterprises with a series of blockchain services, including smart contracts, platform development, and technical support. Focus on the research and development of decentralized financial solutions on Ethereum and Chia. And continue to introduce applications into various industries and diversified scenarios. Then provide safe and convenient decentralized financial applications for enterprises and the public with a friendly user interface and experience.
Job description:
Responsibilities:
Reports to: Tokenholder, shareholder
See more: https://greendoge.network/
Company profile: Xiaoi Robot is a leading developer of artificial intelligence technology and industry application platform. The company’s business cover communication, finance, government affairs, legal and medical services, and manufacturing, etc. The company’s clients include nearly one thousand large- and medium-sized enterprises and government institutions, hundreds of thousands of small enterprises and developers and more than 800 million end-users across the globe.
Job description: From January to May 2017, I briefly left LigerTech Inc. to assist Xiaoi Corporation in establishing its Xiaoi Research institution in Taiwan. Served as the R&D Head in Shanghai and Hong Kong (Asia Pacific Headquarters) since November 2018. Resigned due to Coronavirus disease pandemic after Mar. 2020. The main products of the company are the Chinese version of iBot(chatbot framework). I am responsible for leading the teams, applying Natural Language Processing and Deep Learning and integrating resources at the head office to develop iBot International (the multi-language version of iBot), iBot Express (the Chinese market version of iBot International), recommendation modules, support projects, and develop international standards ISO/IEC DIS 30150-1 Information technology - Affective computing user interface (AUI) - Part 1: Model. Served as the R&D Head in Shanghai and Hong Kong (Asia Pacific Headquarters) since November 2018. Resigned due to Coronavirus disease pandemic after Mar. 2020. The main products of the company are the Chinese version of iBot(chatbot framework). I am responsible for leading the teams, applying Natural Language Processing and Deep Learning and integrating resources at the head office to develop iBot International (the multi-language version of iBot), iBot Express (the Chinese market version of iBot International), recommendation modules, support projects, and develop international standards ISO/IEC DIS 30150-1 Information technology - Affective computing user interface (AUI) - Part 1: Model.
Responsibilities:
Reports to: GM
See more: https://1drv.ms/f/s!AneEdF7CqInJgUKODzI73FLT6_nr?e=74OFW0
Company profile: 17LIVE is a live streaming platform that pioneers a new era of mobile media. 17LIVE services allow any users to connect with the world anytime, anywhere. Our mission is to help users express their talents and passions through 17LIVE in order to achieve their dreams and lead wonderful lives. More than 50 million users worldwide have subscribed to the services.
Job description: Responsible for managing the Product Development Department of the E-Commerce Business Group; With the former head of operations of Shopee introduced and implemented KOL e-commerce to the live streaming. I established a Product Development Department cooperating with the founding team of Shopee on developing and operating short video enhanced e-commerce, and researching the optimization and monetization of the recommender system. The E-Commerce Business Group was disbanded and drastically downsizing company later in August due to the company’s failure to get listed on the NYSE in June.
Responsibilities:
Reports to: SVP
See more: https://1drv.ms/f/s!AneEdF7CqInJgTanIlmTqtAhF7Ob?e=BCwZU6
Company profile: LigerTech is a start-up software company that received strategic investment from the Shanghai film investment group in December 2015. GameTube is a game video-enhanced e-commerce platform that separated from its parent company, LigerTech, becoming an independent entity in May 2016.
Job description: I led a team along with several contract remote staff in developing games, video enhanced e-commerce platforms, and recommender systems. From January to May 2017, I briefly left the company to assist Xiaoi Robot in establishing its Xiaoi Research institution in Taiwan. During this period, development was suspended and we only maintained existing products. As a game video enhanced e-commerce company, GameTube developed a system that automatically crawled videos (including PVs and comments) from external sources, generated a lot of shopping pages with video, share those shopping pages to social media sites, and sent legal cd-key of games when the user purchases. Originating from an internal project of LigerTech, the system allowed players to watch game videos and buy digital games offered by Steam, Origin, Uplay, Battle.net, Xbox, and PSN, etc.
Responsibilities:
Reports to: Board of directors
Company profile: IJOING Inc. is the first innovative mobile game company in Taiwan. The company is committed to resource integration of various mobile games and cross-industry support for digital content, as well as creating innovative services that cater to the needs of mobile game companies.
Job description: Responsible for leading a 6-member technical team and managing more than a dozen contracted game and app development teams, comprised of 50 to 100 members, to develop apps, games and a platform with SDKs.
Responsibilities:
Reports to: CEO
Reports to: Partners, clients
See more: https://1drv.ms/f/s!AneEdF7CqInJgTe650_7SXkwMJiM?e=Ut1FZN
See more:
A Context-aware and Social Graph based Restaurant Recommender System for Mobile Devices
NTU
2012
With the increasing popularity of mobile devices and mobile networks, people can get a soaring amount of information, anywhere, anytime. How to solve the problem of the current information overload and provide personalized recommendation services is an important research topic. This thesis exploits the check-ins of Facebook Open Graph to design a mobile restaurant recommender system, which is based on collaborative filtering. The system summarizes the group preferences from individual users check-in in order to provide group recommendation services. Furthermore, the system considers social graph and contextual information to enhance the recommendation quality. This contextual information includes location, distance, age, sex index, time of day, weekday, month, number of companion and type of companion. In this thesis, we also proposed a method to evaluate the impact of location and distance context. Our experimental data is collected from the 69 volunteers in Facebook, which includes the 8264 check-ins. These check-ins are contributed by 3928 users in 2691 different restaurants from 2010/8/15 to 2012/4/30. The experimental results reveal that the accuracy of our system can be increased by approximately 38% while suggesting restaurants within the area of 3-5 km radius, compared to the popularity-based recommendation. It means that the proposed system can provide better recommendations than popularity-based recommendations if the user asks for a restaurant suggestion in a larger area.
See more:
Information technology — Affective computing user interface (AUI) — Part 1: Model
ISO/IEC DIS 30150-1
2019
Responsible for managing Dr. Hui Wang's team to develop the first international standard for Affective Computing. Affective computing individualizes user experience based on user needs and characteristics to achieve better outcomes. It is important to consider affective characteristics of humans in the design and presentation of human-computer interactions. Affective computing builds a harmonious human-computer environment by enabling computing-based systems to recognize, interpret, and simulate human affects. Affective applications promise new insights into what people are feeling and can better serve their needs. Limitations on affective computing include diverse affective characteristics currently used and the way to interpret and reply to these affective characteristics. A general, standardized and systematic model is needed to facilitate applying affective computing within human-computer interaction regarding usability and accessibility. This document presents a systematically defined model for affective computing user interfaces (AUI) and topics for AUI standardization. This can be important to eliminate obstacles lying between users and computing-based systems, and establish the core and foundation of affective computing user interface and its applications.
See more: https://www.iso.org/obp/ui/#iso:std:iso-iec:30150:-1:dis:ed-1:v1:en
I am a resident of Taiwan that has a work visa in Hong Kong. I have comprehensive experience in the IT industry, including more than 10 years of experience in C# and Python programming, 2 years of experience in education, and more than 5 years of experience in technical and product management. Expert in Blockchain, Conversational AI, Recommender System, Statistics and Data Analysis; experienced in Smart Contract, DeFi, Chatbot, E-Commerce and Live Streaming.
http://www.lionethan.com (My tech blog)
Company profile:
Job description:
Responsibilities:
Reports to: Group CEO
See more:
Company profile: GreenDoge Network provide enterprises with a series of blockchain services, including smart contracts, platform development, and technical support. Focus on the research and development of decentralized financial solutions on Ethereum and Chia. And continue to introduce applications into various industries and diversified scenarios. Then provide safe and convenient decentralized financial applications for enterprises and the public with a friendly user interface and experience.
Job description:
Responsibilities:
Reports to: Tokenholder, shareholder
See more: https://greendoge.network/
Company profile: Xiaoi Robot is a leading developer of artificial intelligence technology and industry application platform. The company’s business cover communication, finance, government affairs, legal and medical services, and manufacturing, etc. The company’s clients include nearly one thousand large- and medium-sized enterprises and government institutions, hundreds of thousands of small enterprises and developers and more than 800 million end-users across the globe.
Job description: From January to May 2017, I briefly left LigerTech Inc. to assist Xiaoi Corporation in establishing its Xiaoi Research institution in Taiwan. Served as the R&D Head in Shanghai and Hong Kong (Asia Pacific Headquarters) since November 2018. Resigned due to Coronavirus disease pandemic after Mar. 2020. The main products of the company are the Chinese version of iBot(chatbot framework). I am responsible for leading the teams, applying Natural Language Processing and Deep Learning and integrating resources at the head office to develop iBot International (the multi-language version of iBot), iBot Express (the Chinese market version of iBot International), recommendation modules, support projects, and develop international standards ISO/IEC DIS 30150-1 Information technology - Affective computing user interface (AUI) - Part 1: Model. Served as the R&D Head in Shanghai and Hong Kong (Asia Pacific Headquarters) since November 2018. Resigned due to Coronavirus disease pandemic after Mar. 2020. The main products of the company are the Chinese version of iBot(chatbot framework). I am responsible for leading the teams, applying Natural Language Processing and Deep Learning and integrating resources at the head office to develop iBot International (the multi-language version of iBot), iBot Express (the Chinese market version of iBot International), recommendation modules, support projects, and develop international standards ISO/IEC DIS 30150-1 Information technology - Affective computing user interface (AUI) - Part 1: Model.
Responsibilities:
Reports to: GM
See more: https://1drv.ms/f/s!AneEdF7CqInJgUKODzI73FLT6_nr?e=74OFW0
Company profile: 17LIVE is a live streaming platform that pioneers a new era of mobile media. 17LIVE services allow any users to connect with the world anytime, anywhere. Our mission is to help users express their talents and passions through 17LIVE in order to achieve their dreams and lead wonderful lives. More than 50 million users worldwide have subscribed to the services.
Job description: Responsible for managing the Product Development Department of the E-Commerce Business Group; With the former head of operations of Shopee introduced and implemented KOL e-commerce to the live streaming. I established a Product Development Department cooperating with the founding team of Shopee on developing and operating short video enhanced e-commerce, and researching the optimization and monetization of the recommender system. The E-Commerce Business Group was disbanded and drastically downsizing company later in August due to the company’s failure to get listed on the NYSE in June.
Responsibilities:
Reports to: SVP
See more: https://1drv.ms/f/s!AneEdF7CqInJgTanIlmTqtAhF7Ob?e=BCwZU6
Company profile: LigerTech is a start-up software company that received strategic investment from the Shanghai film investment group in December 2015. GameTube is a game video-enhanced e-commerce platform that separated from its parent company, LigerTech, becoming an independent entity in May 2016.
Job description: I led a team along with several contract remote staff in developing games, video enhanced e-commerce platforms, and recommender systems. From January to May 2017, I briefly left the company to assist Xiaoi Robot in establishing its Xiaoi Research institution in Taiwan. During this period, development was suspended and we only maintained existing products. As a game video enhanced e-commerce company, GameTube developed a system that automatically crawled videos (including PVs and comments) from external sources, generated a lot of shopping pages with video, share those shopping pages to social media sites, and sent legal cd-key of games when the user purchases. Originating from an internal project of LigerTech, the system allowed players to watch game videos and buy digital games offered by Steam, Origin, Uplay, Battle.net, Xbox, and PSN, etc.
Responsibilities:
Reports to: Board of directors
Company profile: IJOING Inc. is the first innovative mobile game company in Taiwan. The company is committed to resource integration of various mobile games and cross-industry support for digital content, as well as creating innovative services that cater to the needs of mobile game companies.
Job description: Responsible for leading a 6-member technical team and managing more than a dozen contracted game and app development teams, comprised of 50 to 100 members, to develop apps, games and a platform with SDKs.
Responsibilities:
Reports to: CEO
Reports to: Partners, clients
See more: https://1drv.ms/f/s!AneEdF7CqInJgTe650_7SXkwMJiM?e=Ut1FZN
See more:
A Context-aware and Social Graph based Restaurant Recommender System for Mobile Devices
NTU
2012
With the increasing popularity of mobile devices and mobile networks, people can get a soaring amount of information, anywhere, anytime. How to solve the problem of the current information overload and provide personalized recommendation services is an important research topic. This thesis exploits the check-ins of Facebook Open Graph to design a mobile restaurant recommender system, which is based on collaborative filtering. The system summarizes the group preferences from individual users check-in in order to provide group recommendation services. Furthermore, the system considers social graph and contextual information to enhance the recommendation quality. This contextual information includes location, distance, age, sex index, time of day, weekday, month, number of companion and type of companion. In this thesis, we also proposed a method to evaluate the impact of location and distance context. Our experimental data is collected from the 69 volunteers in Facebook, which includes the 8264 check-ins. These check-ins are contributed by 3928 users in 2691 different restaurants from 2010/8/15 to 2012/4/30. The experimental results reveal that the accuracy of our system can be increased by approximately 38% while suggesting restaurants within the area of 3-5 km radius, compared to the popularity-based recommendation. It means that the proposed system can provide better recommendations than popularity-based recommendations if the user asks for a restaurant suggestion in a larger area.
See more:
Information technology — Affective computing user interface (AUI) — Part 1: Model
ISO/IEC DIS 30150-1
2019
Responsible for managing Dr. Hui Wang's team to develop the first international standard for Affective Computing. Affective computing individualizes user experience based on user needs and characteristics to achieve better outcomes. It is important to consider affective characteristics of humans in the design and presentation of human-computer interactions. Affective computing builds a harmonious human-computer environment by enabling computing-based systems to recognize, interpret, and simulate human affects. Affective applications promise new insights into what people are feeling and can better serve their needs. Limitations on affective computing include diverse affective characteristics currently used and the way to interpret and reply to these affective characteristics. A general, standardized and systematic model is needed to facilitate applying affective computing within human-computer interaction regarding usability and accessibility. This document presents a systematically defined model for affective computing user interfaces (AUI) and topics for AUI standardization. This can be important to eliminate obstacles lying between users and computing-based systems, and establish the core and foundation of affective computing user interface and its applications.
See more: https://www.iso.org/obp/ui/#iso:std:iso-iec:30150:-1:dis:ed-1:v1:en