Publications (69)
Adaptive Domain Scaling for Personalized Sequential Modeling in Recommenders
Zheng Chai, Hui Lu, Di Chen +3
Users generally exhibit complex behavioral patterns and diverse intentions in multiple business scenarios of super applications like Douyin, presenting great challenges to current…
Relative Error Embeddings for the Gaussian Kernel Distance
Di Chen, Jeff M. Phillips
A reproducing kernel can define an embedding of a data point into an infinite dimensional reproducing kernel Hilbert space (RKHS). The norm in this space describes a distance, whic…
Replication Can Improve Prior Results: A GitHub Study of Pull Request Acceptance
Di Chen, Kathyrn Stolee, Tim Menzies
Crowdsourcing and data mining can be used to effectively reduce the effort associated with the partial replication and enhancement of qualitative studies. For example, in a primary…
-WM: A Unified Video-Action World Model for Robotic Manipulation
Pengfei Zhou, Shengcong Chen, Di Chen +17
Robotic manipulation requires models that generate executable actions while anticipating and evaluating their future consequences before physical execution. We present -World…
End-to-End Learning for the Deep Multivariate Probit Model
Di Chen, Yexiang Xue, Carla P. Gomes
The multivariate probit model (MVP) is a popular classic model for studying binary responses of multiple entities. Nevertheless, the computational challenge of learning the MVP mod…
Minmax Centered k-Partitioning of Trees and Applications to Sink Evacuation with Dynamic Confluent Flows
Di Chen, Mordecai J. Golin
Let be a tree with associated costs on its subtrees. A minmax -partition of is a partition into subtrees, minimizing the maximum cost of a subtree over all pos…