FBE PhD Recruitment Camp 2019

FBE PhD Recruitment Camp 2019

FBE PhD Recruitment Camp 2019FBE PhD Recruitment Camp 2019FBE PhD Recruitment Camp 2019FBE PhD Recruitment Camp 2019FBE PhD Recruitment Camp 2019FBE PhD Recruitment Camp 2019
VIEW MORE

 

The Faculty of Business and Economics has successfully organised its first PhD Recruitment Camp from 30 April to 2 May 2019. We are delighted that 51 high-calibre participants with diverse academic background coming from China, USA, Australia and Singapore, have joined the event to learn more about our PhD programme.

To kick off the event, Professor Hongbin Cai, Dean of Faculty of Business and Economics, gave his welcome speech to the prospective students at the opening ceremony. Participants then took part in the three-day programme filled with a series of interactive activities including welcome dinner, thematic talks, campus tour, sample lectures, workshops, student and alumni sharing and individual assessment. Through these engaging and informative sessions, participants have experienced our vibrant research community and explored their passion in pursuing a PhD programme in our Faculty.

We would also like to express our gratitude to our faculty members and PhD students, for their support and hard work to make the camp a successful event.

 

Other Events
港大经管学院最新多模态AI图像生成能力排名出炉 部份中国人工智能模型表现突出
2025 | 学院新闻
港大经管学院最新多模态AI图像生成能力排名出炉 部份中国人工智能模型表现突出
港大经管学院今日发表《人工智能模型图像生成能力综合评测报告》,针对15个“文生图模型”及7个“多模态大语言模型”进行全面评估。研究显示,字节跳动的即梦AI和豆包,以及百度的文心一言,在新图像生成的内容质素及图像修改的表现突出;而早前引起全球关注的DeepSeek最新推出的文生图模型Janus-Pro,则在新图像生成方面表现欠佳。研究亦发现部分文生图模型虽然在内容质素方面表现优异,却在安全与责任方面的表现强差人意。整体而言,与文生图模型相比,多模态大语言模型整体表现较佳。
人工智能图像生成评测成绩单公布: 字节跳动百度表现亮眼,DeepSeek Janus-Pro表现欠佳
2025 | 研究
人工智能图像生成评测成绩单公布: 字节跳动百度表现亮眼,DeepSeek Janus-Pro表现欠佳
如今,人工智能领域的前沿模型技术已经从文本处理拓展至视觉信息的深度理解与生成。这些模型既能精准解读图像语义,又能根据文字描述创作出兼具真实感与艺术性的视觉内容,展现出令人惊叹的跨模态理解与创作能力。本研究聚焦全新图像的生成和基于现有图像的图像修改两大核心任务,提出了一套系统性的人工智能模型图像生成能力评测框架。我们基于多维测试集的构建与专家评审,对15个专业文生图模型和7个多模态大语言模型的图像生成能力进行了全面评估。结果显示,字节跳动的即梦AI和豆包以及百度的文心一言在新图像生成的内容质量与修改任务中表现突出,位列第一梯队。对比不同类型的AI模型,我们发现,相对于专业文生图模型,多模态大语言模型整体表现更佳。