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Connecting to FBE Alumni Worldwide

5 Dec 2019

The success of any school rests upon the success of its graduates, who through their professional and personal achievements will bring honour to their alma mater.

To further strengthen the links between the Faculty and its alumni,  the faculty level alumni association – HKU Business and Economics Alumni Association (HKUBEAA) is officially established with the support and encouragement from all FBE alumni. HKUBEAA is committed to connect every alumni worldwide, and develop a thriving community for alumni to network with, and support one another, in their ongoing professional and personal development.The first round of membership recruitment was successfully held on November 11 at FBE Graduation Ceremony 2019. Class of 2019 graduates gathered at our alumni booth and shared the happy moments with their friends and family members.

HKUBEAA membership is now open to all graduates who wish to join.  Don’t miss out the chance to join our global alumni network and get a HKU Business School Cardholder. Apply here.

Working together we aim to support both the future ambitions of our alumni community and the Faculty. Please stay tuned for upcoming events.

 

       
     
     
Interdisciplinary Knowledge is the Key - Professor Yuk-fai FONG5 Dec 2019
Descend from the lineage of marketing: Dr. Mengzhou ZHUANG9 Dec 2019
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HKU Business School Releases a Comprehensive Evaluation Report on the Image-Generation Capabilities of AI Models
HKU Business School released a Comprehensive Evaluation Report on the Image Generation Capabilities of Artificial Intelligence Models, providing a systematic assessment of 15 text-to-image models and 7 multimodal large language models (LLMs). The results showed that ByteDance’s Dreamina and Doubao, as well as Baidu’s ERNIE Bot ranked among the top performers in terms of image content quality for new-image generation and image revision. However, despite DeepSeek having attracted global attention, its newly released text-to-image model, Janus-Pro, did not perform as well in new-image generation. HKU Business School researchers also found that while some text-to-image models excelled in content quality, their performance in safety and responsibility was significantly lacking. In general, multimodal LLMs demonstrated better overall performance compared to text-to-image models.
AI Image Generation Evaluation Results Released: ByteDance and Baidu Perform Well, DeepSeek Janus-Pro Falls Short
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AI Image Generation Evaluation Results Released: ByteDance and Baidu Perform Well, DeepSeek Janus-Pro Falls Short
The frontier of AI models has evolved beyond text processing to encompass the ability to understand and generate visual content. These models not only comprehend images but also generate visual content based on textual prompts. This study presents a systematic evaluation of the image generation capabilities of AI models, focusing on two core tasks: generating new images and revising existing images. Using carefully curated multidimensional test sets, we conducted a comprehensive evaluation of 22 AI models with image generation capabilities, including 15 text-to-image models and 7 multimodal large language models. The results show that ByteDance’s Dreamina and Doubao, as well as Baidu’s ERNIE Bot, demonstrate impressive performance in both new image generation and image revision tasks. Overall, multimodal large language models deliver superior performance compared to text-to-image models.