Xiaoyu Tan

According to our database, Xiaoyu Tan authored at least 43 papers between 2016 and 2024.

Collaborative distances:

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

2024

Multivariate graph neural networks on enhancing syntactic and semantic for aspect-based sentiment analysis.

Haoyu Wang, Xihe Qiu, Xiaoyu Tan

Appl. Intell., November, 2024

Inferring Intents From Equivariant-Invariant Representations and Relational Learning in Multiagent Systems.

Xihe Qiu, Haoyu Wang, Xiaoyu Tan

IEEE Syst. J., September, 2024

Model-Based Off-Policy Deep Reinforcement Learning With Model-Embedding.

Xiaoyu Tan, Chao Qu, Junwu Xiong, James Y. Zhang, Xihe Qiu, Yaochu Jin

IEEE Trans. Emerg. Top. Comput. Intell., August, 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

Balancing therapeutic effect and safety in ventilator parameter recommendation: An offline reinforcement learning approach.

Bo Zhang, Xihe Qiu, Xiaoyu Tan

Eng. Appl. Artif. Intell., 2024

FedSlate:A Federated Deep Reinforcement Learning Recommender System.

Yongxin Deng, Xiaoyu Tan, Xihe Qiu, Yaochu Jin

CoRR, 2024

LMGT: Optimizing Exploration-Exploitation Balance in Reinforcement Learning through Language Model Guided Trade-offs.

Yongxin Deng, Xihe Qiu, Xiaoyu Tan, Wei Chu, Yinghui Xu

CoRR, 2024

CogniDual Framework: Self-Training Large Language Models within a Dual-System Theoretical Framework for Improving Cognitive Tasks.

Yongxin Deng, Xihe Qiu, Xiaoyu Tan, Chao Qu, Jing Pan, Yuan Cheng, Yinghui Xu, Wei Chu

CoRR, 2024

Promoting Equality in Large Language Models: Identifying and Mitigating the Implicit Bias based on Bayesian Theory.

Yongxin Deng, Xihe Qiu, Xiaoyu Tan, Jing Pan, Jue Chen, Zhijun Fang, Yinghui Xu, Wei Chu, Yuan Qi

CoRR, 2024

Thought-Like-Pro: Enhancing Reasoning of Large Language Models through Self-Driven Prolog-based Chain-of-Though.

Xiaoyu Tan, Yongxin Deng, Xihe Qiu, Weidi Xu, Chao Qu, Wei Chu, Yinghui Xu, Yuan Qi

CoRR, 2024

Towards Collaborative Intelligence: Propagating Intentions and Reasoning for Multi-Agent Coordination with Large Language Models.

Xihe Qiu, Haoyu Wang, Xiaoyu Tan, Chao Qu, Yujie Xiong, Yuan Cheng, Yinghui Xu, Wei Chu, Yuan Qi

CoRR, 2024

Struct-X: Enhancing Large Language Models Reasoning with Structured Data.

Xiaoyu Tan, Haoyu Wang, Xihe Qiu, Yuan Cheng, Yinghui Xu, Wei Chu, Yuan Qi

CoRR, 2024

MINDECHO: Role-Playing Language Agents for Key Opinion Leaders.

Rui Xu, Dakuan Lu, Xiaoyu Tan, Xintao Wang, Siyu Yuan, Jiangjie Chen, Wei Chu, Yinghui Xu

CoRR, 2024

G-K BertDTA: A graph representation learning and semantic embedding-based framework for drug-target affinity prediction.

Xihe Qiu, Haoyu Wang, Xiaoyu Tan, Zhijun Fang

Comput. Biol. Medicine, 2024

An attentive Copula-based spatio-temporal graph model for multivariate time-series forecasting.

Xihe Qiu, Jiahui Qian, Haoyu Wang, Xiaoyu Tan, Yaochu Jin

Appl. Soft Comput., 2024

Enhancing Task Performance in Continual Instruction Fine-tuning Through Format Uniformity.

Xiaoyu Tan, Leijun Cheng, Xihe Qiu, Shaojie Shi, Yuan Cheng, Wei Chu, Yinghui Xu, Yuan Qi

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Enhancing Personalized Headline Generation via Offline Goal-conditioned Reinforcement Learning with Large Language Models.

Xiaoyu Tan, Leijun Cheng, Xihe Qiu, Shaojie Shi, Yuan Cheng, Wei Chu, Yinghui Xu, Yuan Qi

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Subequivariant Reinforcement Learning Framework for Coordinated Motion Control.

Haoyu Wang, Xiaoyu Tan, Xihe Qiu, Chao Qu

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

ULMR: Unlearning Large Language Models via Negative Response and Model Parameter Average.

Shaojie Shi, Xiaoyu Tan, Xihe Qiu, Chao Qu, Kexin Nie, Yuan Cheng, Wei Chu, Yinghui Xu, Yuan Qi

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

Robust Deep Hawkes Process Under Label Noise of Both Event and Occurrence.

Xiaoyu Tan, Bin Li, Xihe Qiu, Jingjing Huang, Yinghui Xu, Wei Chu

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

ILTS: Inducing Intention Propagation in Decentralized Multi-Agent Tasks with Large Language Models.

Xihe Qiu, Haoyu Wang, Xiaoyu Tan, Chao Qu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 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 Y. 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