Asset Management and Private Banking “Meeting the Practitioners”

AMPB provides students with opportunities to meet senior practitioners from the industry.  AMPB held two events in the first semester 2023-2024.

Meeting with the Head of Institutional Sales at FIDELITY

On 31st October, we had the privilege of hosting Ms. Stella Xu, Head of China Institutional Sales and Ms. Alice Wong, Client Director of Institutional Sales at Fidelity.

(From left) Ms. Alice Wong of Fidelity; Prof. Anna Wong of HKU; Ms. Stella Xu of Fidelity

Ms. Xu shared her journey, emphasizing that the starting point of one’s career doesn’t necessarily determine where you settle.  Her personal experience serves as a powerful reminder that, with the right attitude, dedication and commitment, it is possible to ascend the career ladder regardless of where one starts.

Ms. Wong, on the other hand, shared a compelling story from her early career days stating how she get her boss’ trust.  She highlighted that diligence, persistence and work ethics are important as you grow in your career.

Meeting with the Head of Listed Structured Products at JP MORGAN

On 29th November, Mr. Cedric Cheung, Managing Director and Head of Listed Structured Products Sales for Asia at J.P. Morgan joined us at the second Meeting the Practitioners Series.  

(Left) Mr. Cedric Cheung of J.P. Morgan

Mr. Cheung is an outstanding HKU FBE alumnus.  He shared with us what is listed warrants and JPM’s positioning in the market.  He emphasized the importance of staying informed about the industry, developing a strong network and continuously improving one’s skills. The discussion was very interactive with our students asking thought-provoking questions.

Students at both sessions have learnt a lot from the senior executives.  Stay tuned for the next round of Meeting the Practitioners Series in the second semester.

Other Events
HKU Business School Releases a Comprehensive Evaluation Report on the Image-Generation Capabilities of AI Models
2025 | News
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
2025 | Research
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.