Unite and Flourish: Undergraduate Students and Alumni Mixer Event 2025

Unite and Flourish: Undergraduate Students and Alumni Mixer Event 2025

Unite and Flourish: Undergraduate Students and Alumni Mixer Event 2025Unite and Flourish: Undergraduate Students and Alumni Mixer Event 2025Unite and Flourish: Undergraduate Students and Alumni Mixer Event 2025Unite and Flourish: Undergraduate Students and Alumni Mixer Event 2025Unite and Flourish: Undergraduate Students and Alumni Mixer Event 2025Unite and Flourish: Undergraduate Students and Alumni Mixer Event 2025
VIEW MORE

To foster the bonding between the School Alumni and to allow Undergraduate Students to receive impactful insights in their career exploration journey. The HKU Business School hosted its first-ever UG Students and Alumni Mixer event at the HKU iCube on March 6, 2025. This event, jointly organised by the School’s Undergraduate Student Enrichment and the Development and Alumni Team, brought together esteemed alumni in diverse industries and current undergraduate students across 11 majors for an evening of networking, knowledge sharing, and mentorship.

The event commenced with a warm welcome from Ms Alice Hui, Head of Development and Alumni at HKU Business School, who recognised the alumni’s support for the event and highlighting the objective of this mixer event is to provide a tailored platform for alumni to share their career journeys, insights, and pass on their wisdom and experience with the undergraduate students, fostering a sense of community and offering invaluable guidance for the future. The programme designed with a panel discussion moderated by Prof. Winnie Leung, Assistant Dean (Undergraduate), featuring distinguished alumni speakers from diverse industries, including Mr. Dennis Mok [Class of 2019, Master of Finance Programme], Ms. Peony Cheung [Class of 2020, Bachelor of Business Administration (Information Systems)], and Ms. Elaine Pun [Class of 2020, Bachelor of Business Administration (Marketing)]. The sharing was tailored to cover personal stories and key takeaways from each panellist, ranging from identifying career interests, accessing resources for internships and job searches, transitioning into their first graduate roles, and offering practical advice to the undergraduate students.

Following the panel discussion, groups were formed to facilitate in-depth dialogues between student participants and alumni members, allowing for interaction, advice-seeking, and the establishment of lasting connections. The event expressed gratitude for the dedication of all alumni in nurturing young talents.

The event also underscored the advances made by the School in alumni engagement in recent years. With over 40,000 alumni across the globe, our alumni family continues to grow, particularly among the younger alumni. Moving forward, the focus on alumni engagement will be proactive, aligned with the School’s goal to enhance connections with alumni globally, encompassing local, mainland, and overseas alumni communities, while fortifying the ties with undergraduate and postgraduate alumni across diverse disciplines.

The mixer event was a resounding success, showcasing the strong bond between alumni and current students within the HKU Business School community. It served as a platform for mentorship, knowledge sharing, and networking, further solidifying the connections that unite the school’s past, present, and future generations of business leaders.

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.