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On October 21, 2026, Zhang Changqing of Tianjin University gave a talk titled "Generalized Multimodal Fusion Technology" at CNCC 2026, presenting the team's research on multimodal representation, dynamic trustworthy fusion, and the general-purpose prediction foundation model Fusion Anything Model (FAM). According to an October 28 report by Leiphone, its TMC method uses evidence theory to estimate uncertainty, raising crystal structure recognition accuracy from about 58%–59% to around 93.9%; FAM was tested on 18 real-world datasets, 12 modalities, and 11 types of prediction tasks, with average accuracy improving by about 6.9 percentage points over specialized fusion baselines. Currently, the content of this talk has been disclosed by a single source, with no subsequent developments.
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Zhang Changqing presents a report on generalized multimodal fusion technology at CNCC 2026
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Oct 28
Leiphone
Tianjin University's Zhang Changqing introduces generalized multimodal fusion at CNCC 2026: from trustworthy evidence fusion to the Fusion Anything foundation model
At CNCC 2026, Tianjin University's Zhang Changqing presented the report "Generalized Multimodal Fusion Technology," introducing the team's research on multimodal representation, dynamic trustworthy fusion, and the general-purpose prediction foundation model Fusion Anything Model (FAM). The TMC method uses evidence theory to estimate uncertainty, raising crystal structure recognition accuracy from about 58%–59% to around 93.9%. FAM was tested on 18 real-world datasets, 12 modalities, and 11 types of prediction tasks, achieving an average accuracy about 6.9 percentage points higher than specialized fusion baselines.