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Chen Li

Associate Professor

Osaka University

Research Interests

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Articles (20)

Collaborators (2)

Yasuhiko Morimoto

Hiroshima University

Takio Kurita

Hiroshima University

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Chen Li

Research Interests

Make your next move.

Explore related searches

Articles (20)

Collaborators (2)

Yasuhiko Morimoto

Takio Kurita

Make your next move.

Chen Li

Research Interests

Make your next move.

Explore related searches

Articles (20)

DataLight: Data-Centric Offline Reinforcement Learning for Traffic Signal Control

A Reinforcement Learning-driven Transformer GAN for Molecular Generation

Gx2Mol: De Novo Generation of Hit-Like Molecules from Gene Expression Profiles

Image Captioning via Masked Conditional Diffusion

Mining area skyline objects from map-based big data using Apache Spark framework

AI-driven transcriptome profile-guided hit molecule generation

Ripple Knowledge Graph Convolutional Networks for Recommendation Systems

GxVAEs: Two Joint VAEs Generate Hit Molecules from Gene Expression Profiles

MacGAN: A Moment-Actor-Critic Reinforcement Learning-Based Generative Adversarial Network for Molecular Generation

Predicting drug-target interactions by measuring confidence with consistent causal neighborhood interventions

Quantitative evaluation of molecular generation performance of graph-based GANs

Transcriptionally Conditional Recurrent Neural Network for De Novo Drug Design

Two-way Recommendation System for Supervisor Selection using Historical Data and Skyband-view Queries

Convolutional autoencoder based on latent subspace projection for anomaly detection

A Session Recommendation Model Based on Heterogeneous Graph Neural Network

A Visual Interpretation-Based Self-improved Classification System Using Virtual Adversarial Training

An Enhanced Distributed Algorithm for Area Skyline Computation Based on Apache Spark

Causal Intervention for Measuring Confidence in Drug-Target Interaction Prediction

EarlGAN: An enhanced actor–critic reinforcement learning agent-driven GAN for de novo drug design

FedMCC: Federated multi-center clustering algorithm to improve privacy healthcare

Collaborators (2)

Yasuhiko Morimoto

Takio Kurita

Make your next move.