Events & Workshops

Xu Hong, former head of the Erlitou archaeological team, on where the study of Xia-Shang culture stands and why it remains contested.

Two talks on digital methods for classical texts: multi-agent collaboration in collation, and Mohism studies in the age of artificial intelligence.

Xin Deyong of Peking University examines the Shangdi, the supreme deity of ancient Huaxia, in a public lecture hosted by the Division of Humanities.

Cui Yan of Wuyi University discusses 3D spatial vision technology and its cultural applications in a public lecture hosted by the Division of Humanities.

How might we critically exmine and interpret historical maps through a digital lens? This session explores the HKUST Library’s Special Collections of Antique Maps, demonstrating how these primary sources are transformed from static artifacts into dynamic…

Liz Chee introduces the digital storytelling project on medicinal animals and its underlying datasets.

Huang Shujian of Nanjing University introduces research on multilingual large language models, covering machine translation and key multilingual modelling problems.

Hu Renfen of Beijing Normal University presents data-driven word sense research, combining synchronic comparison with diachronic change in Chinese.

Su Qi of Peking University argues for a collaborative relation between AI and the humanities, moving from tool use towards research questions that guide technical development.

Rao Gaoqi of Beijing Language and Culture University presents the BCC diachronic corpus and methods for computing modern Chinese texts.

Wang Haofen of Tongji University presents the design and practice of agent memory systems, and discusses knowledge-augmented large models for humanities use cases.

Tang Xuri of Huazhong University of Science and Technology presents entropy-based modelling for humanities computing, quantifying uncertainty and semantic change in texts.

Shen Wei of Central China Normal University presents WorkBuddy for teaching and research, discussing how AI reshapes scholarly workflows.

Zhu Benjun of Peking University Library presents version 2.0 of the Unified Chinese Text Platform and how a traceable, standardised infrastructure supports humanities research.

Wang Lulu of the Communication University of China introduces quantitative approaches to language research and demonstrates textometric analysis on Chinese texts.

Li Bin of Nanjing Normal University presents applications of AI methods to ancient-language research, including word segmentation, annotation and semantic analysis of classical texts.

Zhang Yongwei of the Chinese Academy of Social Sciences introduces the search functions of the national corpus analysis tools and demonstrates corpus retrieval workflows for humanities research.

Zhan Weidong of Peking University discusses how language knowledge engineering shifts from describing language to building computable language data in the era of generative AI.

Yuan Yulin, Chair Professor at the University of Macau, reviews how artificial intelligence reshapes linguistic research and reconsiders the place of linguistic theory in the age of AI.

Cameron Campbell, Chair Professor at HKUST, shows how quantitative history and digital humanities support each other, drawing on the China Government Employee Database.

Prof. Rao Gaoqi introduces the BCC diachronic corpus and digital humanities research on the evolution of contemporary Chinese.

A hands-on taste of Manchu OCR and AI, tracing the journey from fine-tuned models to agentic workflows.

How might we critically examine and interpret historical maps through a digital lens? This session explores the HKUST Library’s Special Collections of Antique Maps, demonstrating how these primary sources are transformed from static artifacts into dynamic…

Prof. Yegor Grebnev shows how large language models can uncover discourse continuities across apparently unrelated ancient Chinese texts.

In this talk, Prof. Ongaro will share on the challenges of making an oral tradition, recorded by researchers using many different writing systems; working to digitize and standardize the records for greater accessibility and to help preserve the Akha people’s…

Prof. Li Bin of Nanjing Normal University surveys 280 classical Chinese text databases in China and abroad and proposes four levels — image, full-text, corpus and knowledge databases — each with its own irreplaceable role for research.

Lu Jiayi of the University of Hong Kong re-examines the rarely discussed rural writing in Liu Yichang’s fiction, tracing it from 1930s Shanghai to the Nanyang novels of the 1950s and 1960s.

Dr. He Jun-yan, research scientist in Meituan’s multimodal foundation-model team and formerly of Alibaba DAMO Academy, shares how a humanities graduate moved into the AI industry.

Mr. Lin Junping is a registered expert at the HKUST (Guangzhou) Training Center, a think-tank expert of the Guangzhou Big Data Industry Association, an off-campus mentor for master’s students at the School of Finance, Guangdong University of Foreign Studies,…

This workshop introduces the use of embeddings—numerical representations of words, sentences, and documents—for exploring large collections of scholarly texts, serving both research and teaching purposes.

Mr. Yang Amin is the chief editor of Erya Culture Publishing House and the editor-in-chief of Southern Journal of Studies. His main research areas are classics, literature, and classical texts.

This research enhances video understanding by leveraging Transformer-based models like BERT for feature representation in two tasks: video question answering and humor prediction.

The era of virtual intelligence has already arrived, bringing both celebration and criticism. Regarding literature databases, current guidance focuses mainly on technology.

Corpora are an important tool for linguistic research. Regular expressions, as a key text-matching tool, can provide precise corpus search functions.