173 citations · 211 across the 15 of their papers we have counts for
4 papers · 1 filter
Dynamic Graph World Modelling: Learning Future Dynamics from Temporal Context
Bo Li, Yue Yang, Yujin Huang +6
Dynamic graph learning models how entities and their relations evolve from historical observations to predict future graph states. Existing methods do not fully address dynamic gra…
World-as-Graph: Relational World Modeling Through Latent Space Graphs
Yaqi Yang, Shuo Huang, Yujin Huang +3
World models aim to learn representations of real-world environments and predict their future evolution. Recent object-centric world models have made expressive progress by represe…
Smart App Attack: Hacking Deep Learning Models in Android Apps
Yujin Huang, Chunyang Chen
On-device deep learning is rapidly gaining popularity in mobile applications. Compared to offloading deep learning from smartphones to the cloud, on-device deep learning enables of…
Robustness of on-device Models: Adversarial Attack to Deep Learning Models on Android Apps
Yujin Huang, Han Hu, Chunyang Chen
Deep learning has shown its power in many applications, including object detection in images, natural-language understanding, and speech recognition. To make it more accessible to…