activity
20192023
most citedSpatial Graph Attention and Curiosity-driven Policy for Antiviral Drug Discovery

8 citations · 18 across the 6 of their papers we have counts for

collaborators

6 papers

cs.SD2023★ 1 cited

Frame-Level Multi-Label Playing Technique Detection Using Multi-Scale Network and Self-Attention Mechanism

Dichucheng Li, Mingjin Che, Wenwu Meng +4

Instrument playing technique (IPT) is a key element of musical presentation. However, most of the existing works for IPT detection only concern monophonic music signals, yet little…

cs.LG2022★ 6 cited

Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information

Yulun Wu, Robert A. Barton, Zichen Wang +5

Predicting the responses of a cell under perturbations may bring important benefits to drug discovery and personalized therapeutics. In this work, we propose a novel graph variatio…

cs.SD2022★ 2 cited

Playing Technique Detection by Fusing Note Onset Information in Guzheng Performance

Dichucheng Li, Yulun Wu, Qinyu Li +4

The Guzheng is a kind of traditional Chinese instruments with diverse playing techniques. Instrument playing techniques (IPT) play an important role in musical performance. However…

stat.ML2022

Variational Causal Inference

Yulun Wu, Layne C. Price, Zichen Wang +3

Estimating an individual's potential outcomes under counterfactual treatments is a challenging task for traditional causal inference and supervised learning approaches when the out…

cs.LG2021★ 8 cited

Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug Discovery

Yulun Wu, Mikaela Cashman, Nicholas Choma +13

We developed Distilled Graph Attention Policy Network (DGAPN), a reinforcement learning model to generate novel graph-structured chemical representations that optimize user-defined…

cs.CV2019★ 1 cited

Box-level Segmentation Supervised Deep Neural Networks for Accurate and Real-time Multispectral Pedestrian Detection

Yanpeng Cao, Dayan Guan, Yulun Wu +3

Effective fusion of complementary information captured by multi-modal sensors (visible and infrared cameras) enables robust pedestrian detection under various surveillance situatio…