Dilruk Perera

According to our database, Dilruk Perera authored at least 14 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

medR: Reward Engineering for Clinical Offline Reinforcement Learning via Tri-Drive Potential Functions.

Qianyi Xu, Gousia Habib, Feng Wu, Yanrui Du, Zhihui Chen, Swapnil Mishra, Dilruk Perera, Mengling Feng

CoRR, February, 2026

Smart Imitator: Learning from Imperfect Clinical Decisions.

Dilruk Perera, Siqi Liu, Kay Choong See, Mengling Feng

J. Am. Medical Informatics Assoc., 2026

medDreamer: Model-Based Reinforcement Learning with Latent Imagination on Complex EHRs for Clinical Decision Support.

Qianyi Xu, Gousia Habib, Feng Wu, Dilruk Perera, Mengling Feng

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025

DeepEN: Personalized Enteral Nutrition for Critically Ill Patients using Deep Reinforcement Learning.

Daniel J. Tan, Jiayang Chen, Dilruk Perera, Kay Choong See, Mengling Feng

CoRR, October, 2025

Beyond Prediction: Reinforcement Learning as the Defining Leap in Healthcare AI.

Dilruk Perera, Gousia Habib, Qianyi Xu, Daniel J. Tan, Kai He, Erik Cambria, Mengling Feng

CoRR, August, 2025

MedDreamer: Model-Based Reinforcement Learning with Latent Imagination on Complex EHRs for Clinical Decision Support.

Qianyi Xu, Gousia Habib, Dilruk Perera, Mengling Feng

CoRR, May, 2025

2024

Advancing Multi-Organ Disease Care: A Hierarchical Multi-Agent Reinforcement Learning Framework.

Daniel J. Tan, Qianyi Xu, Kay Choong See, Dilruk Perera, Mengling Feng

CoRR, 2024

Adapting an Artificial Intelligence Sexually Transmitted Diseases Symptom Checker Tool for Mpox Detection: The HeHealth Experience.

Rayner Kay Jin Tan, Dilruk Perera, Salomi Arasaratnam, Yudara Kularathne

CoRR, 2024

2023

Demystifying Complex Treatment Recommendations: A Hierarchical Cooperative Multi-Agent RL Approach.

Dilruk Perera, Siqi Liu, Mengling Feng

Proceedings of the International Joint Conference on Neural Networks, 2023

2020

Towards Comprehensive Recommender Systems: Time-Aware UnifiedcRecommendations Based on Listwise Ranking of Implicit Cross-Network Data.

Dilruk Perera, Roger Zimmermann

CoRR, 2020

Towards Comprehensive Recommender Systems: Time-Aware Unified Recommendations Based on Listwise Ranking of Implicit Cross-Network Data.

Dilruk Perera, Roger Zimmermann

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

CnGAN: Generative Adversarial Networks for Cross-network user preference generation for non-overlapped users.

Dilruk Perera, Roger Zimmermann

Proceedings of the World Wide Web Conference, 2019

2018

LSTM Networks for Online Cross-Network Recommendations.

Dilruk Perera, Roger Zimmermann

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Exploring the use of Time-Dependent Cross-Network Information for Personalized Recommendations.

Dilruk Perera, Roger Zimmermann

Proceedings of the 2017 ACM on Multimedia Conference, 2017