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IDS 數據科學工作坊 2026

玩轉 AI 大腦：AI Agents – 發展、挑戰與未來方向

早鳥優惠!

2026年7月17日截止

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中文
中文 English

工作坊簡介

香港大學同心基金數據科學研究院 (HKU IDS) 將於 2026 年 8 月 19 日至 21 日舉辦 「IDS 數據科學工作坊 2026 – 玩轉 AI 大腦：AI Agents – 發展、挑戰與未來方向」。

為期三天的工作坊，將帶領學員認識大型語言模型 (LLMs) 與 AI Agents 這兩個迅速發展的領域。學員將先了解 LLMs 如何設計、訓練和評估，以及它們的潛力與限制；隨後進一步探索 AI Agent 的系統架構，包括規劃、推理、記憶與多 Agent 協作。透過課堂講授、討論及專題項目活動，學員將學習如何理解、設計及批判性評估 AI Agent 系統，並思考其在研究、產業及現實問題解決中的應用。

包含內容

圖片只供參考。

重要資訊

🗓️ 日期

　2026年8月19-21日

🏫 地點

IDS 研討室
香港大學研究生堂 P603 室

🧑 參加對象
  • 本科生及研究生
  • 有興趣探索 AI 多一點的人士
📋 先備知識

具備基本電腦科學或 AI 知識更佳

💬 授課語言

英文

🎖️ 證書

完成工作坊的學員將獲發出席證書

🎭 關注範疇

#LLMs

#AIAgents

#PlanningandReasoning

#ToolUseandMemory

#MultiAgentSystems

#RealWorldApplications

#LLMs

#AIAgents

#PlanningandReasoning

#ToolUseandMemory

#MultiAgentSystems

#RealWorldApplications

工作坊目標

  • 打好基礎
    理解大型語言模型 (LLMs) 與 AI Agent 架構的基礎知識。
  • 瞭解 AI Agent 如何思考
    認識 AI Agent 如何透過規劃、推理、記憶與協調能力完成任務。
  • 看見真實應用
    探索 AI Agent 的現實應用，以及正在推動領域的最新突破。
  • 理解多 Agent 系統
    學習多個 AI Agent 如何協作，解決複雜的現實問題。
  • 看清 AI Agent 潛力與限制
    瞭解 AI Agent 的能力邊界，以及目前仍存在的關鍵挑戰。
  • 思考 AI Agent 技術的未來方向
    評估 AI Agent 技術的機會、限制與未來發展方向。

工作坊主講導師

黃超教授

香港大學數據科學研究院 及
計算與數據科學學院
助理教授

黃超教授現任香港大學數據科學研究院及計算與數據科學學院助理教授及博士生導師，研究方向涵蓋大型語言模型 (LLMs)、AI Agents 及圖機器學習(Graph Machine Learning)，其學術成果於 Google Scholar 累計獲引用逾 14,000 次。 黃教授現領導香港大學數據智能實驗室，專注於人工智能開源技術研究。團隊先後推出 LightRAG、RAG-Anything、DeepCode、AutoAgent、AI-Researcher、AI-Trader、MiniRAG 及 VideoRAG 等項目，累計獲得超過 77,000 個 GitHub Stars，全球排名躋身前 200 名，並 59 次登上 GitHub Trending 榜單。 憑藉其在開源社群的卓越貢獻，黃教授榮獲「2024 世界人工智能大會」Bright Star 獎項、2024 年「前沿科學獎 理論計算機與資訊科學獎」，並入選「2025 AI100 青年先鋒」及「2025 全球 AI 2000 最具影響力學者」。 其研究成果亦被公認為 KDD、WWW 及 SIGIR 等國際頂尖學術會議中最具影響力的工作之一，並曾於 ACM MM 2024、WSDM 2022 及 WWW 2019 獲得最佳論文提名獎。

有關黃超教授的更多資料，請瀏覽： https://datascience.hku.hk/people/chao-huang/

工作坊收費

參加費用：港幣 9,800 元

符合下列任一條件，可享九折優惠：

  • 早鳥專享：於 2026 年 7 月 17 日或之前報名
  • 曾參加 HKU IDS 暑期學院的學員（名額有限，額滿即止）

獲錄取後，另需繳付港幣 150 元行政費用

Workshop fee also covers:

  • Tram Party Networking
  • 3-day lunch
  • HKU IDS 專屬紀念品

活動日程

第一天 大型語言模型 (LLMs) 基礎概論
核心架構與訓練原理
現有大型語言模型的潛能與局限
語言模型的新興趨勢與發展
交流活動
第二天 AI Agents 基礎概論
Agent 設計原則與架構框架
規劃與推理能力
記憶系統與情境管理
多 Agent 協調與協作
第三天 應用與專題研習
現實場景應用
未來研究方向與挑戰
參與專題研習項目的討論與匯報

Application deadline has passed

Application deadline has passed

Thanks for the support. Confirmed participants will receive further Workshop details soon.

請填妥申請表格。IDS 收到申請並完成審核後，會於五個工作天內以電郵通知合資格申請人付款詳情。

早鳥優惠!

2026年7月17日截止

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截止日期

早鳥優惠截止： 2026年7月17日 23:59 HKT

申請截止： 2026年8月10日, 23:59 HKT

早鳥優惠!

2026年7月17日截止

按此報名

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工作坊內容及形式可能因實際情況而有所調整。如報名人數不足，主辦方保留取消本工作坊的權利。

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IDS 數據科學工作坊 2026

From Learning to Ideas: Exploring AI Agents Across Disciplines

What happens when students, researchers, academics and industry professionals from very different fields come together to explore the fast-evolving world of AI Agents?

A different kind of summer classroom

At the 「IDS 數據科學夏令營 2026 – 玩轉 AI 大腦：AI Agents organised by the HKU Musketeers Foundation Institute of Data Science (HKU IDS), participants spent three intensive days learning, discussing and experimenting together.

The cohort brought together students, researchers, academics and industry professionals from fields including computing, finance, medicine, social sciences, mathematics and engineering.

Continuing the Learning Journey

Supporting Promising Members of the HKU Learning Community

As part of HKU IDS’s commitment to nurturing continued learning and interdisciplinary engagement, a number of complimentary places were offered to selected HKU members who had demonstrated strong performance in previous IDS courses. We hope such opportunities can encourage promising learners to continue developing their interests, deepen their engagement with emerging areas of data science and AI, and remain connected with the wider IDS community.

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Key Workshop Information
Dates 　2026年8月19-21日
Main Venue IDS Seminar Room P603
Graduate House, HKU
Programme Focus LLMs · AI Agents · Applications · Capstone Project
The Academic Core

From LLM Foundations to Designing AI Agent Workflows

Across three days, the workshop progressed from the foundations of Large Language Models to AI Agents and their applications, before participants put the ideas into practice through tutorials, demonstrations, discussion and Capstone projects.

Led by 黃超教授, participants were encouraged not only to understand how the technologies work, but also to consider how they might be applied in their own research and professional fields.

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工作坊主講導師
Professor Chao Huang

黃超教授

Member, HKU Musketeers Foundation Institute of Data Science
Assistant Professor, School of Computing and Data Science, HKU

Prof Chao Huang’s research focuses on Large Language Models (LLMs), AI agents and Graph Machine Learning, with over 14,000 citations on Google Scholar.

View full bio

Prof Huang leads the Data Intelligence Lab at HKU, specialising in AI open-source technology research. His team has launched projects including LightRAG, RAG-Anything, DeepCode, AutoAgent, AI-Researcher, AI-Trader, MiniRAG and VideoRAG, accumulating over 77,000 GitHub stars and ranking within the global Top 200, with projects making GitHub Trending 59 times.

His open-source and research contributions have been recognised through the “Bright Star” Award at WAIC 2024, the 2024 Frontier Science Award in Theoretical Computer Science and Information Science (ICBS), selection as a 2025 AI100 Young Pioneer, and inclusion among the 2025 Global AI 2000 Most Influential Scholars.

His work has also been recognised among influential research at KDD, WWW and SIGIR, with best paper nominations at ACM MM 2024, WSDM 2022 and WWW 2019.

More about Prof Chao Huang →

Our Participants

Different Starting Points, Shared Curiosity

54% Undergraduate, postgraduate
& research students
46% Academics, researchers
& working professionals

The workshop brought together participants across different stages of study and professional life, connecting academic research, industry and professional practice within the same learning environment.

Their backgrounds ranged from computing and engineering to medicine, finance, mathematics, social sciences, education and linguistics. Technical starting points also varied, from participants exploring programming for the first time to those already working with AI and data.

Computing & AI Engineering Medicine Finance Mathematics Social Sciences Education Linguistics
Beyond the Classroom

Learning Happened in More Than One Setting

The workshop also created space for conversations beyond the formal teaching sessions. Participants explored the HKU campus, met one another through opening activities, continued discussions over lunch, and ended the first day with an academic exchange aboard a Hong Kong antique tram.

Participants exploring the HKU campus
HKU Campus Tour Exploring the campus together before the formal programme.
Icebreaking activity at the IDS Summer Workshop
Opening & Icebreaking An informal start to three days of learning and exchange.
Participants gathering over lunch during the workshop
Lunch Gatherings Conversations continued between teaching sessions.
Academic Exchange Tram Party
Academic Exchange Tram Party Taking the discussion beyond the classroom on the first evening.
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From Learning to Ideas

Days of Exploration, Brought Together in the Capstone

The Capstone Project developed alongside the workshop. Participants formed five teams and began shaping their ideas from the first day, refining them as the programme moved from LLMs to AI Agents and applications.

Capstone Project Presentation & Closing Ceremony
Date& time 21 August 2026
Afternoon
Venue Digital Interactive Lab
Main Library, HKU

On the final afternoon, the groups presented their projects and discussed their ideas with 馬毅教授, Director of HKU IDS, and 黃超教授, who joined as judges. Participants also took part by voting for their favourite presenter.

The five teams explored applications ranging from fake-news detection and personal transportation to finance, education, biotechnology, healthcare and business intelligence.

Reflecting on the cohort, Prof Ma noted how widely AI is beginning to reach across disciplines and industries. He encouraged participants to keep learning, stay connected and continue exploring the possibilities opened up during the workshop.

Message from Our Director

“Hopefully this Summer Workshop is a starting point for many of you.”

Professor Yi Ma
馬毅教授 香港大學同心基金數據科學研究院院長 香港大學計算與數據科學學院首屆總監 香港大學人工智能講座教授
Participant Voices

Different Perspectives, Different Possibilities

Making AI Approachable
“

What I liked most was how Prof Huang breaks down complicated concepts into detailed, straightforward examples and explanations. He explains the development of AI in a very approachable way.

Mr Tim Zhang
Mr Tim ZHANG PhD Student, Department of Mathematics 香港大學
AI + Social Work
“

Prof Huang’s team significantly enhanced my AI literacy and guided me on the proper route to explore the use of AI in social work.

Dr Esther Mui
Dr Esther MUI Registered Social Worker & Applied Researcher The University of Hong Kong / City University
Across Disciplines
“

In our group, one participant was from finance and another from linguistics. It made me feel AI is already in so many aspects, and AI can do much more than I expected.

Ms Bingqing Yang
Ms Bingqing YANG PhD Student, Department of Family Medicine and Primary Care 香港大學
From Frontier Research to Practice
“

I learned a lot from Prof Huang’s insightful overview of LLM-Agent frontiers and the hands-on experience shared by his team.

Mr Qingqing Sun
Mr Qingqing SUN Staff Algorithm Engineer Ant International
Course Evaluation

What Participants Told Us

91% agreed that the course materials increased their knowledge and skills
4.5 / 5 average across five core teaching-quality measures
95% responded positively to the HKU campus tour

Source: IDS Summer Workshop 2026 Course Evaluation. Response base varies by item.

Programme Highlights

Three Days, One Learning Journey

Day Focus 焦點
第一天 19 Aug 2026 Foundations of LLMs
HKU Campus Tour Opening & Icebreaking Foundations of LLMs Capstone Briefing Academic Exchange Tram Party
第二天 20 Aug 2026 AI Agents & Applications
AI Agents 基礎概論 與產業應用 Discussion & Exchange Capstone Development
第三天 21 Aug 2026 From Learning to Ideas
Student Sharing AI Agent Workflow Tutorial Capstone Presentations Closing Remarks Awards & Certificates
Precious Moments

Photo Gallery