CCF Multimedia Committee Visit to iQIYI – AI, Knowledge Graph, and Multimedia Technology Presentations

“AI: AlwaysFun, Always Fine — iQIYI”

On September 26, the China Computer Federation (CCF) Multimedia Technology Professional Committee organized the “CCF Walk into Enterprise – iQIYI Special Session” at iQIYI’s headquarters. The event aimed to promote deep exchange among academia, industry, and research, and to accelerate the industrialization of new multimedia technologies. Prominent experts such as Researcher Xu Changsheng from the Institute of Automation, Chinese Academy of Sciences, Professor Wu Lifang from Beijing University of Technology, and Researcher Ji Wen from the Institute of Computing Technology, together with more than 30 teachers, students, and industry experts, shared the latest frontier technologies in multimedia and explored pathways for intelligent media industrialization.

iQIYI Senior Technical Director Yu Ke delivered a welcome speech, stating that iQIYI has long maintained cooperation with the CCF Multimedia Committee, actively supporting and participating in its activities, and seeking collaborations with academia to explore AI entertainment, multimedia video, and broader technological applications.

Senior Scientist Wang Tao from iQIYI presented a talk titled “iQIYI Internet Video AI Practice”. He described the current state of internet video, iQIYI’s massive video library and ecosystem, and analyzed the application of AI, cloud computing, and multimedia technologies, covering intelligent playback, intelligent distribution, VR, smart monetization, and smart hardware. He also shared various technical salon activities conducted by iQIYI.

Researcher Xu Changsheng (Institute of Automation, Chinese Academy of Sciences) gave a presentation titled “Social Multimedia Content Distribution”. He introduced three aspects of social multimedia distribution—content understanding, user modeling, and interactive computing—outlined the research framework, and discussed end‑to‑end video classification based on knowledge graphs, user attribute inference, and context‑aware attention mechanisms for sequential recommendation. He demonstrated the “Zhuanzhi” knowledge‑graph‑driven content distribution platform, illustrating a complete AI knowledge‑system architecture.

Professor Wu Lifang (Beijing University of Technology) presented “Image‑Text Matching Based on Content and Sentiment Similarity”. She described classic emotion models (Plutchik, Mikel, Ekman, Liin) and common sentiment datasets (SentiBank, rSentiBank, You’s dataset). She then reviewed image sentiment analysis work (e.g., PCNN) and text sentiment analysis progress (e.g., CLR), and finally demonstrated a self‑developed Weibo “Easy‑Match Image” application.

Researcher Ji Wen (Institute of Computing Technology, Chinese Academy of Sciences) delivered “Key Technologies and Applications of Intelligent Multimedia Transmission”. In the context of rapidly growing multimedia terminal scale and network video data, he introduced two transmission paradigms: network‑economy‑driven multimedia transmission, which addresses market strategy needs and the inherent tension among operators, content providers, and users; and edge‑computing‑driven multimedia transmission, which tackles the severe computing gap at the edge and highlights visual IoT transmission as a new research hotspot. He showcased a self‑developed heterogeneous terminal video transmission platform and discussed the future of IT 3.0.

The guests interacted intensively with the experts, and after the presentations, CCF experts and participants toured iQIYI’s studios, Dolby audio labs, and experienced 4K Dolby HDR video. The exchange deepened participants’ understanding of iQIYI’s advanced technologies and laid a solid foundation for future industry‑academia‑research collaborations.

As a technology‑driven entertainment company, iQIYI actively promotes innovation across products, technology, content, and marketing, striving to provide users with equal, convenient access to high‑quality video. iQIYI welcomes more academic institutions and enterprises to engage in multimedia research and looks forward to continued CCF‑MM events that foster AI media talent cultivation and industry‑academia cooperation.