Xiaoyu Tan

Orcid: 0000-0003-3555-7143

According to our database1, Xiaoyu Tan authored at least 24 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
A k-nearest neighbor attentive deep autoregressive network for electricity consumption prediction.
Int. J. Mach. Learn. Cybern., April, 2024

Chain-of-LoRA: Enhancing the Instruction Fine-Tuning Performance of Low-Rank Adaptation on Diverse Instruction Set.
IEEE Signal Process. Lett., 2024

Subequivariant Reinforcement Learning Framework for Coordinated Motion Control.
CoRR, 2024

2023
PCSboost: A Multi-Model Machine Learning Framework for Key Fragments Selection of Channelrhodopsins Achieving Optogenetics.
J. Circuits Syst. Comput., September, 2023

An Attentive LSTM based approach for adverse drug reactions prediction.
Appl. Intell., March, 2023

Semi-supervised recommender system for bone implant ratio recommendation.
J. Ambient Intell. Humaniz. Comput., 2023

Adaptive Learning on User Segmentation: Universal to Specific Representation via Bipartite Neural Interaction.
Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2023

Provably Invariant Learning without Domain Information.
Proceedings of the International Conference on Machine Learning, 2023

Gram-based Attentive Neural Ordinary Differential Equations Network for Video Nystagmography Classification.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Self-Criticism: Aligning Large Language Models with their Understanding of Helpfulness, Honesty, and Harmlessness.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

PILLOW: Enhancing Efficient Instruction Fine-tuning via Prompt Matching.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

SaFER: A Robust and Efficient Framework for Fine-tuning BERT-based Classifier with Noisy Labels.
Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
A latent batch-constrained deep reinforcement learning approach for precision dosing clinical decision support.
Knowl. Based Syst., 2022

A model-based hybrid soft actor-critic deep reinforcement learning algorithm for optimal ventilator settings.
Inf. Sci., 2022

Sparse-attentive meta temporal point process for clinical decision support.
Neurocomputing, 2022

A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2020
Model Embedding Model-Based Reinforcement Learning.
CoRR, 2020

Robot-assisted flexible needle insertion using universal distributional deep reinforcement learning.
Int. J. Comput. Assist. Radiol. Surg., 2020

2019
Robot-Assisted Training in Laparoscopy Using Deep Reinforcement Learning.
IEEE Robotics Autom. Lett., 2019

Simulation of Robot-Assisted Flexible Needle Insertion Using Deep Q-Network.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Towards a Cyber-Physical Systems Based Operating Room of the Future.
Proceedings of the OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging, 2019

2018
Robust path planning for flexible needle insertion using Markov decision processes.
Int. J. Comput. Assist. Radiol. Surg., 2018

2016
Design and implementation of a patient-specific cognitive engine for robotic needle insertion.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016


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