![]() His research is situated at the interface between cognitive science and AI, with a particular emphasis on using neural network techniques to build cognitive models that are grounded in real-world perceptual inputs. Past events Population-Level Balance in Signed Networks in cognitive psychology and neuroscience from Princeton University, where he studied with Jonathan Cohen and Michael Graziano. ![]() Professor Weijing Tang, Harvard UniversityĪb stract: Statistical network models are useful for understanding the underlying formation mechanism and characteristics of complex networks. However, statistical models for signed networks have been largely unexplored. In signed networks, there exist both positive (e.g., like, trust) and negative (e.g., dislike, distrust) edges, which are commonly seen in real-world scenarios.
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