Duanshun Li — accepted AI-conference papers

2021

A Novel Method to Solve Neural Knapsack Problems

Duanshun Li, Jing Liu, Dongeun Lee, Ali Seyedmazloom, Giridhar Kaushik, Kookjin Lee +1

ICML 2021spotlight

0-1 knapsack is of fundamental importance across many fields. In this paper, we present a game-theoretic method to solve 0-1 knapsack problems (KPs) where the number of items (products) is large and the values of items are not predetermined but decided by an external value assignment function (e.g.,…

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2021

TearingNet: Point Cloud Autoencoder To Learn Topology-Friendly Representations

Jiahao Pang, Duanshun Li, Dong Tian

CVPR 2021poster

Topology matters. Despite the recent success of point cloud processing with geometric deep learning, it remains arduous to capture the complex topologies of point cloud data with a learning model. Given a point cloud dataset containing objects with various genera, or scenes with multiple objects, we…

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