Xiaoyu Tan

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 39

Top Topics

Clinical Decision Support

Reinforcement Learning

Top Venues

Int. J. Comput. Assist. Radiol. Surg.

Publications

Xihe Qiu, Jiahui Qian, Haoyu Wang, Xiaoyu Tan, Yaochu Jin
An attentive Copula-based spatio-temporal graph model for multivariate time-series forecasting. Appl. Soft Comput. 154 (2024)
Xiaoyu Tan, Chao Qu, Junwu Xiong, James Y. Zhang, Xihe Qiu, Yaochu Jin
Model-Based Off-Policy Deep Reinforcement Learning With Model-Embedding. IEEE Trans. Emerg. Top. Comput. Intell. 8 (4) (2024)
Xiaoyu Tan, Bin Li, Xihe Qiu, Jingjing Huang, Yinghui Xu, Wei Chu
Robust Deep Hawkes Process under Label Noise of Both Event and Occurrence. CoRR (2024)
Haoyu Wang, Xiaoyu Tan, Xihe Qiu, Chao Qu
Subequivariant Reinforcement Learning Framework for Coordinated Motion Control. CoRR (2024)
Xihe Qiu, Yajun Ru, Xiaoyu Tan, Jue Chen, Bin Chen, Yun Guo
A k-nearest neighbor attentive deep autoregressive network for electricity consumption prediction. Int. J. Mach. Learn. Cybern. 15 (4) (2024)
Xiaoyu Tan, Leijun Cheng, Xihe Qiu, Shaojie Shi, Yuan Cheng, Wei Chu, Yinghui Xu, Yuan Qi
Enhancing Task Performance in Continual Instruction Fine-tuning Through Format Uniformity. SIGIR (2024)
Xihe Qiu, Haoyu Wang, Xiaoyu Tan, Zhijun Fang
G-K BertDTA: A graph representation learning and semantic embedding-based framework for drug-target affinity prediction. Comput. Biol. Medicine 173 (2024)
Xiaoyu Tan, Haoyu Wang, Xihe Qiu, Yuan Cheng, Yinghui Xu, Wei Chu, Yuan Qi
Struct-X: Enhancing Large Language Models Reasoning with Structured Data. CoRR (2024)
Xihe Qiu, Teqi Hao, Shaojie Shi, Xiaoyu Tan, Yu-Jie Xiong
Chain-of-LoRA: Enhancing the Instruction Fine-Tuning Performance of Low-Rank Adaptation on Diverse Instruction Set. IEEE Signal Process. Lett. 31 (2024)
Xiaoyu Tan, Yongxin Deng, Xihe Qiu, Weidi Xu, Chao Qu, Wei Chu, Yinghui Xu, Yuan Qi
Thought-Like-Pro: Enhancing Reasoning of Large Language Models through Self-Driven Prolog-based Chain-of-Though. CoRR (2024)
Xihe Qiu, Haoyu Wang, Xiaoyu Tan, Chao Qu, Yujie Xiong, Yuan Cheng, Yinghui Xu, Wei Chu, Yuan Qi
Towards Collaborative Intelligence: Propagating Intentions and Reasoning for Multi-Agent Coordination with Large Language Models. CoRR (2024)
Bo Zhang, Xihe Qiu, Xiaoyu Tan
Balancing therapeutic effect and safety in ventilator parameter recommendation: An offline reinforcement learning approach. Eng. Appl. Artif. Intell. 131 (2024)
Rui Xu, Dakuan Lu, Xiaoyu Tan, Xintao Wang, Siyu Yuan, Jiangjie Chen, Wei Chu, Yinghui Xu
MINDECHO: Role-Playing Language Agents for Key Opinion Leaders. CoRR (2024)
Haoyu Wang, Xiaoyu Tan, Xihe Qiu, Chao Qu
Subequivariant Reinforcement Learning Framework for Coordinated Motion Control. ICRA (2024)
Xiaoyu Tan, Leijun Cheng, Xihe Qiu, Shaojie Shi, Yuan Cheng, Wei Chu, Yinghui Xu, Yuan Qi
Enhancing Personalized Headline Generation via Offline Goal-conditioned Reinforcement Learning with Large Language Models. KDD (2024)
Zhenting Qi, Xiaoyu Tan, Shaojie Shi, Chao Qu, Yinghui Xu, Yuan Qi
PILLOW: Enhancing Efficient Instruction Fine-tuning via Prompt Matching. CoRR (2023)
Xiaoyu Tan, Lin Yong, Shengyu Zhu, Chao Qu, Xihe Qiu, Yinghui Xu, Peng Cui, Yuan Qi
Provably Invariant Learning without Domain Information. ICML (2023)
Jiahui Qian, Xihe Qiu, Xiaoyu Tan, Qiong Li, Jue Chen, Xiaoyan Jiang
An Attentive LSTM based approach for adverse drug reactions prediction. Appl. Intell. 53 (5) (2023)
Xihe Qiu, Bo Zhang, Qiong Li, Xiaoyu Tan, Jue Chen
PCSboost: A Multi-Model Machine Learning Framework for Key Fragments Selection of Channelrhodopsins Achieving Optogenetics. J. Circuits Syst. Comput. 32 (14) (2023)
Xihe Qiu, Xiaoyu Tan, Fengting Yan, Qianmin Su, Jue Chen, Xiaoyan Jiang
Semi-supervised recommender system for bone implant ratio recommendation. J. Ambient Intell. Humaniz. Comput. 14 (5) (2023)
Chao Qu, Xiaoyu Tan, Siqiao Xue, Xiaoming Shi, James Zhang, Hongyuan Mei
Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes. AAAI (2023)
Xiaoyu Tan, Shaojie Shi, Xihe Qiu, Chao Qu, Zhenting Qi, Yinghui Xu, Yuan Qi
Self-Criticism: Aligning Large Language Models with their Understanding of Helpfulness, Honesty, and Harmlessness. EMNLP (Industry Track) (2023)
Zhenting Qi, Xiaoyu Tan, Shaojie Shi, Chao Qu, Yinghui Xu, Yuan Qi
PILLOW: Enhancing Efficient Instruction Fine-tuning via Prompt Matching. EMNLP (Industry Track) (2023)
Xiaoyu Tan, Yongxin Deng, Chao Qu, Siqiao Xue, Xiaoming Shi, James Zhang, Xihe Qiu
Adaptive Learning on User Segmentation: Universal to Specific Representation via Bipartite Neural Interaction. SIGIR-AP (2023)
Xihe Qiu, Shaojie Shi, Xiaoyu Tan, Chao Qu, Zhijun Fang, Hailing Wang, Yongbin Gao, Peixia Wu, Huawei Li
Gram-based Attentive Neural Ordinary Differential Equations Network for Video Nystagmography Classification. ICCV (2023)
Zhenting Qi, Xiaoyu Tan, Chao Qu, Yinghui Xu, Yuan Qi
SaFER: A Robust and Efficient Framework for Fine-tuning BERT-based Classifier with Noisy Labels. ACL (industry) (2023)
Xihe Qiu, Xiaoyu Tan, Qiong Li, Shaotao Chen, Yajun Ru, Yaochu Jin
A latent batch-constrained deep reinforcement learning approach for precision dosing clinical decision support. Knowl. Based Syst. 237 (2022)
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
A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud. CoRR (2022)
Yajun Ru, Xihe Qiu, Xiaoyu Tan, Bin Chen, Yongbin Gao, Yaochu Jin
Sparse-attentive meta temporal point process for clinical decision support. Neurocomputing 485 (2022)
Shaotao Chen, Xihe Qiu, Xiaoyu Tan, Zhijun Fang, Yaochu Jin
A model-based hybrid soft actor-critic deep reinforcement learning algorithm for optimal ventilator settings. Inf. Sci. 611 (2022)
Chao Qu, Xiaoyu Tan, Siqiao Xue, Xiaoming Shi, James Zhang, Hongyuan Mei
Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes. CoRR (2022)
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
A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud. KDD (2022)
Xiaoyu Tan, Chao Qu, Junwu Xiong, James Zhang
Model Embedding Model-Based Reinforcement Learning. CoRR (2020)
Xiaoyu Tan, Yonggu Lee, Chin-Boon Chng, Kah-Bin Lim, Chee-Kong Chui
Robot-assisted flexible needle insertion using universal distributional deep reinforcement learning. Int. J. Comput. Assist. Radiol. Surg. 15 (2) (2020)
Xiaoyu Tan, Chin-Boon Chng, Ye Su, Kah-Bin Lim, Chee-Kong Chui
Robot-Assisted Training in Laparoscopy Using Deep Reinforcement Learning. IEEE Robotics Autom. Lett. 4 (2) (2019)
Yonggu Lee, Xiaoyu Tan, Chin-Boon Chng, Chee-Kong Chui
Simulation of Robot-Assisted Flexible Needle Insertion Using Deep Q-Network. SMC (2019)
Chin-Boon Chng, Pooi-Mun Wong, Nicholas J. H. Ho, Xiaoyu Tan, Chee-Kong Chui
Towards a Cyber-Physical Systems Based Operating Room of the Future. OR/MLCN@MICCAI (2019)
Xiaoyu Tan, Pengqian Yu, Kah-Bin Lim, Chee-Kong Chui
Robust path planning for flexible needle insertion using Markov decision processes. Int. J. Comput. Assist. Radiol. Surg. 13 (9) (2018)
Xiaoyu Tan, Chin-Boon Chng, Bin Duan, Yvonne Ho, Rong Wen, Xuan Chen, Kah Bin Lim, Chee-Kong Chui
Design and implementation of a patient-specific cognitive engine for robotic needle insertion. SMC (2016)