Xiaoyu Tan

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

Collaborative distances:

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

2024

A k-nearest neighbor attentive deep autoregressive network for electricity consumption prediction.

Xihe Qiu, Yajun Ru, Xiaoyu Tan, Jue Chen, Bin Chen, Yun Guo

Int. J. Mach. Learn. Cybern., April, 2024

Chain-of-LoRA: Enhancing the Instruction Fine-Tuning Performance of Low-Rank Adaptation on Diverse Instruction Set.

Xihe Qiu, Teqi Hao, Shaojie Shi, Xiaoyu Tan, Yu-Jie Xiong

IEEE Signal Process. Lett., 2024

Subequivariant Reinforcement Learning Framework for Coordinated Motion Control.

Haoyu Wang, Xiaoyu Tan, Xihe Qiu, Chao Qu

CoRR, 2024

2023

PCSboost: A Multi-Model Machine Learning Framework for Key Fragments Selection of Channelrhodopsins Achieving Optogenetics.

Xihe Qiu, Bo Zhang, Qiong Li, Xiaoyu Tan, Jue Chen

J. Circuits Syst. Comput., September, 2023

An Attentive LSTM based approach for adverse drug reactions prediction.

Jiahui Qian, Xihe Qiu, Xiaoyu Tan, Qiong Li, Jue Chen, Xiaoyan Jiang

Appl. Intell., March, 2023

Semi-supervised recommender system for bone implant ratio recommendation.

Xihe Qiu, Xiaoyu Tan, Fengting Yan, Qianmin Su, Jue Chen, Xiaoyan Jiang

J. Ambient Intell. Humaniz. Comput., 2023

Adaptive Learning on User Segmentation: Universal to Specific Representation via Bipartite Neural Interaction.

Xiaoyu Tan, Yongxin Deng, Chao Qu, Siqiao Xue, Xiaoming Shi, James Zhang, Xihe Qiu

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.

Xiaoyu Tan, Lin Yong, Shengyu Zhu, Chao Qu, Xihe Qiu, Yinghui Xu, Peng Cui, Yuan Qi

Proceedings of the International Conference on Machine Learning, 2023

Gram-based Attentive Neural Ordinary Differential Equations Network for Video Nystagmography Classification.

Xihe Qiu, Shaojie Shi, Xiaoyu Tan, Chao Qu, Zhijun Fang, Hailing Wang, Yongbin Gao, Peixia Wu, Huawei Li

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.

Xiaoyu Tan, Shaojie Shi, Xihe Qiu, Chao Qu, Zhenting Qi, Yinghui Xu, Yuan Qi

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

PILLOW: Enhancing Efficient Instruction Fine-tuning via Prompt Matching.

Zhenting Qi, Xiaoyu Tan, Shaojie Shi, Chao Qu, Yinghui Xu, Yuan Qi

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.

Zhenting Qi, Xiaoyu Tan, Chao Qu, Yinghui Xu, Yuan Qi

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.

Chao Qu, Xiaoyu Tan, Siqiao Xue, Xiaoming Shi, James Zhang, Hongyuan Mei

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.

Xihe Qiu, Xiaoyu Tan, Qiong Li, Shaotao Chen, Yajun Ru, Yaochu Jin

Knowl. Based Syst., 2022

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

Shaotao Chen, Xihe Qiu, Xiaoyu Tan, Zhijun Fang, Yaochu Jin

Inf. Sci., 2022

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

Yajun Ru, Xihe Qiu, Xiaoyu Tan, Bin Chen, Yongbin Gao, Yaochu Jin

Neurocomputing, 2022

A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud.

Siqiao Xue, Chao Qu, Xiaoming Shi, Cong Liao, Shiyi Zhu, Xiaoyu Tan, Lintao Ma, Shiyu Wang, Shijun Wang, Yun Hu, Lei Lei, Yangfei Zheng, Jianguo Li, James Zhang

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.

Xiaoyu Tan, Chao Qu, Junwu Xiong, James Zhang

CoRR, 2020

Robot-assisted flexible needle insertion using universal distributional deep reinforcement learning.

Xiaoyu Tan, Yonggu Lee, Chin-Boon Chng, Kah-Bin Lim, Chee-Kong Chui

Int. J. Comput. Assist. Radiol. Surg., 2020

2019

Robot-Assisted Training in Laparoscopy Using Deep Reinforcement Learning.

Xiaoyu Tan, Chin-Boon Chng, Ye Su, Kah-Bin Lim, Chee-Kong Chui

IEEE Robotics Autom. Lett., 2019

Simulation of Robot-Assisted Flexible Needle Insertion Using Deep Q-Network.

Yonggu Lee, Xiaoyu Tan, Chin-Boon Chng, Chee-Kong Chui

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Towards a Cyber-Physical Systems Based Operating Room of the Future.

Chin-Boon Chng, Pooi-Mun Wong, Nicholas J. H. Ho, Xiaoyu Tan, Chee-Kong Chui

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.

Xiaoyu Tan, Pengqian Yu, Kah-Bin Lim, Chee-Kong Chui

Int. J. Comput. Assist. Radiol. Surg., 2018

2016

Design and implementation of a patient-specific cognitive engine for robotic needle insertion.

Xiaoyu Tan, Chin-Boon Chng, Bin Duan, Yvonne Ho, Rong Wen, Xuan Chen, Kah Bin Lim, Chee-Kong Chui

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016