Chen Li

Orcid: 0000-0002-8784-8148

Affiliations:
  • Hiroshima University, Department of Information Engineering, Japan


According to our database1, Chen Li authored at least 24 papers between 2017 and 2024.

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Bibliography

2024
GxVAEs: Two Joint VAEs Generate Hit Molecules from Gene Expression Profiles.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
EarlGAN: An enhanced actor-critic reinforcement learning agent-driven GAN for de novo drug design.
Pattern Recognit. Lett., November, 2023

Ripple Knowledge Graph Convolutional Networks For Recommendation Systems.
CoRR, 2023

SpotGAN: A Reverse-Transformer GAN Generates Scaffold-Constrained Molecules with Property Optimization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

An Enhanced Distributed Algorithm for Area Skyline Computation Based on Apache Spark.
Proceedings of the Knowledge Science, Engineering and Management, 2023

Mode Collapse Alleviation of Reinforcement Learning-based GANs in Drug Design.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Hierarchical Bayesian Parameter Estimation of Queueing Systems using Utilization Data.
Int. J. Perform. Eng., 2022

Parameter Estimation of Markovian Arrivals with Utilization Data.
IEICE Trans. Commun., 2022

Transformer-based Objective-reinforced Generative Adversarial Network to Generate Desired Molecules.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Matching Using Sufficient Dimension Reduction for Heterogeneity Causal Effect Estimation.
Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

Exploring the Feasibility of Transformer Based Models on Question Relatedness.
Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

An Efficient Transformer Encoder-Based Classification of Malware Using API Calls.
Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

Hierarchical Categorical Generative Modeling for Multi-omics Cancer Subtyping.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Automatic Sleep Staging via Frequency-Wise Spiking Neural Networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2020
Secure <i>k</i>-skyband computation framework in distributed multi-party databases.
Inf. Sci., 2020

2019
Privacy-Aware MapReduce Based Multi-Party Secure Skyline Computation.
Inf., 2019

A Framework for Privacy-Preserving Multi-Party Skyline Query Based on Homomorphic Encryption.
IEEE Access, 2019

Parameter Estimation of $M_{t}/M/1/K$ Queueing Systems With Utilization Data.
IEEE Access, 2019

Multi-factor Based Stock Price Prediction Using Hybrid Neural Networks with Attention Mechanism.
Proceedings of the 2019 IEEE Intl Conf on Dependable, 2019

Privacy-preserving Top-k Dominating Queries in Distributed Multi-party Databases.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
MapReduce Algorithm for Location Recommendation by Using Area Skyline Query.
Algorithms, 2018

Capturing Temporal Dynamics of Users' Preferences from Purchase History Big Data for Recommendation System.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Hybrid Sensing and Wearable Smart Device for Health Monitoring and Medication: Opportunities and Challenges.
Proceedings of the 2018 AAAI Spring Symposia, 2018

2017
MapReduce-based computation of area skyline query for selecting good locations in a map.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017


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