A new data transmission paradigm for visual analysis in edge-cloud collaboration by Chen, Zhuo

“…To enable better balance among computing load, bandwidth usage and generalization ability, I propose a new paradigm of transmitting intermediate deep learning features instead of visual signals or ultimately utilized features, which inspires research and standardization of compression techniques for intermediate deep learning features. …”
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Representation learning for recommender systems by Lucas, Vinh Tran

“…Our proposed approach hinges upon the key intuition that the decision making process (in groups) is generally dynamic, i.e., a user's decision is highly dependent on the other group members. …”
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System architecture and technology for real-time heterogeneous co-editing by Cho, Bryden Da Yang

“…This state-based operation derivation approach is particularly suitable for supporting heterogeneous co-editing as it can derive operations in a generalized way, i.e., one common set of state-based operation derivation algorithms can be used for all editors (regardless of their editing capabilities and interaction styles). …”
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