Xiaoyu Tan - researchr alias

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Viewing Publication 1 - 48 from 48

2026

MIMAR-OSA: Enhancing obstructive sleep apnea diagnosis through multimodal data integration and missing modality reconstructionXihe Qiu, Yingchen Wei, Xiaoyu Tan, Weidi Xu, Haodong Wang, Jingru Ma, Jingjing Huang, Zhijun Fang. PR, 169:111917, 2026. [doi]

2025

An innovative contrastive learning approach to improve image recognition robustness and interpretability via simulated environmental perturbationsLeijun Cheng, Xihe Qiu, Xiaoyu Tan, Haoyu Wang 0011, Yu-Jie Xiong. eaai, 159:111619, 2025. [doi]

Reward guidance for reinforcement learning tasks based on large language models: The LMGT frameworkYongxin Deng, Xihe Qiu, Jue Chen, Xiaoyu Tan. kbs, 322:113689, 2025. [doi]

CogniDual Framework: Self-Training Large Language Models within a Dual-System Theoretical Framework for Improving Cognitive TasksYongxin Deng, Xihe Qiu, Xiaoyu Tan, Chao Qu, Jing Pan, Yuan Cheng, Yinghui Xu, Wei Chu. icassp 2025: 1-5 [doi]

An end-to-end audio classification framework with diverse features for obstructive sleep apnea-hypopnea syndrome diagnosisBin Li, Xihe Qiu, Xiaoyu Tan, Long Yang, Jing Tao, Zhijun Fang, Jingjing Huang. apin, 55(6):427, April 2025. [doi]

Refine Knowledge of Large Language Models via Adaptive Contrastive LearningYinghui Li, Haojing Huang, Jiayi Kuang, Yangning Li, Shu-yu Guo, Chao Qu, Xiaoyu Tan, Hai-Tao Zheng, Ying Shen, Philip S. Yu. iclr 2025: [doi]

DMFusion: A dual-branch multi-scale feature fusion network for medical multi-modal image fusionGengchen Ma, Xihe Qiu, Xiaoyu Tan. bspc, 105:107572, 2025. [doi]

LLM-GAODE: Large-language-model augmented neural ordinary differential equation network for video nystagmography classificationXihe Qiu, Shaojie Shi, Bin Li 0091, Xiaoyu Tan, Yongbin Gao, Shuo Li 0001. kbs, 326:114050, 2025. [doi]

CVDLLM: Automated Cardiovascular Disease Diagnosis With Large-Language-Model-Assisted Graph Attentive Feature InteractionXihe Qiu, Haoyu Wang 0011, Xiaoyu Tan, Yaochu Jin. tai, 6(6):1575-1590, June 2025. [doi]

Bio-K-Transformer: A pre-trained transformer-based sequence-to-sequence model for adverse drug reactions predictionXihe Qiu, Siyue Shao, Haoyu Wang, Xiaoyu Tan. cmpb, 260:108524, 2025. [doi]

Struct-X: Enhancing the Reasoning Capabilities of Large Language Models in Structured Data ScenariosXiaoyu Tan, Haoyu Wang, Xihe Qiu, Leijun Cheng, Yuan Cheng, Wei Chu, Yinghui Xu, Yuan Qi 0001. kdd 2025: 2584-2595 [doi]

Meta-Agent-Workflow: Streamlining Tool Usage in LLMs through Workflow Construction, Retrieval, and RefinementXiaoyu Tan, Bin Li, Xihe Qiu, Chao Qu, Wei Chu, Yinghui Xu, Yuan Qi 0001. WWW 2025: 458-467 [doi]

AutoGRN: An adaptive multi-channel graph recurrent joint optimization network with Copula-based dependency modeling for spatio-temporal fusion in electrical power systemsHaoyu Wang, Xihe Qiu, Yu-Jie Xiong, Xiaoyu Tan. inffus, 117:102836, 2025. [doi]

An Attentive Dual-Encoder Framework Leveraging Multimodal Visual and Semantic Information for Automatic OSAHS DiagnosisYingchen Wei, Xihe Qiu, Xiaoyu Tan, Jingjing Huang, Wei Chu, Yinghui Xu, Yuan Qi 0001. icassp 2025: 1-5 [doi]

2024

Chain-of-LoRA: Enhancing the Instruction Fine-Tuning Performance of Low-Rank Adaptation on Diverse Instruction SetXihe Qiu, Teqi Hao, Shaojie Shi, Xiaoyu Tan, Yu-Jie Xiong. spl, 31:875-879, 2024. [doi]

A k-nearest neighbor attentive deep autoregressive network for electricity consumption predictionXihe Qiu, Yajun Ru, Xiaoyu Tan, Jue Chen, Bin Chen, Yun Guo. mlc, 15(4):1201-1212, April 2024. [doi]

ILTS: Inducing Intention Propagation in Decentralized Multi-Agent Tasks with Large Language ModelsXihe Qiu, Haoyu Wang, Xiaoyu Tan, Chao Qu. CIKM 2024: 3989-3993 [doi]

G-K BertDTA: A graph representation learning and semantic embedding-based framework for drug-target affinity predictionXihe Qiu, Haoyu Wang, Xiaoyu Tan, Zhijun Fang. cbm, 173:108376, 2024. [doi]

An attentive Copula-based spatio-temporal graph model for multivariate time-series forecastingXihe Qiu, Jiahui Qian, Haoyu Wang, Xiaoyu Tan, Yaochu Jin. asc, 154:111324, 2024. [doi]

Inferring Intents From Equivariant-Invariant Representations and Relational Learning in Multiagent SystemsXihe Qiu, Haoyu Wang, Xiaoyu Tan. sj, 18(3):1765-1775, September 2024. [doi]

ULMR: Unlearning Large Language Models via Negative Response and Model Parameter AverageShaojie Shi, Xiaoyu Tan, Xihe Qiu, Chao Qu, Kexin Nie, Yuan Cheng, Wei Chu, Yinghui Xu, Yuan Qi 0001. emnlp 2024: 755-762 [doi]

Enhancing Personalized Headline Generation via Offline Goal-conditioned Reinforcement Learning with Large Language ModelsXiaoyu Tan, Leijun Cheng, Xihe Qiu, Shaojie Shi, Yuan Cheng, Wei Chu, Yinghui Xu, Yuan Qi 0001. kdd 2024: 5762-5772 [doi]

Enhancing Task Performance in Continual Instruction Fine-tuning Through Format UniformityXiaoyu Tan, Leijun Cheng, Xihe Qiu, Shaojie Shi, Yuan Cheng, Wei Chu, Yinghui Xu, Yuan Qi. sigir 2024: 2384-2389 [doi]

Model-Based Off-Policy Deep Reinforcement Learning With Model-EmbeddingXiaoyu Tan, Chao Qu, Junwu Xiong, James Y. Zhang, Xihe Qiu, Yaochu Jin. tetci, 8(4):2974-2986, August 2024. [doi]

Robust Deep Hawkes Process Under Label Noise of Both Event and OccurrenceXiaoyu Tan, Bin Li, Xihe Qiu, Jingjing Huang, Yinghui Xu, Wei Chu. ecai 2024: 2870-2877 [doi]

Subequivariant Reinforcement Learning Framework for Coordinated Motion ControlHaoyu Wang, Xiaoyu Tan, Xihe Qiu, Chao Qu. icra 2024: 2112-2118 [doi]

Multivariate graph neural networks on enhancing syntactic and semantic for aspect-based sentiment analysisHaoyu Wang, Xihe Qiu, Xiaoyu Tan. apin, 54(22):11672-11689, November 2024. [doi]

Balancing therapeutic effect and safety in ventilator parameter recommendation: An offline reinforcement learning approachBo Zhang, Xihe Qiu, Xiaoyu Tan. eaai, 131:107784, 2024. [doi]

2023

PILLOW: Enhancing Efficient Instruction Fine-tuning via Prompt MatchingZhenting Qi, Xiaoyu Tan, Shaojie Shi, Chao Qu, Yinghui Xu, Yuan Qi. emnlp 2023: 471-482 [doi]

SaFER: A Robust and Efficient Framework for Fine-tuning BERT-based Classifier with Noisy LabelsZhenting Qi, Xiaoyu Tan, Chao Qu, Yinghui Xu, Yuan Qi. acl 2023: 390-403 [doi]

An Attentive LSTM based approach for adverse drug reactions predictionJiahui Qian, Xihe Qiu, Xiaoyu Tan, Qiong Li, Jue Chen, Xiaoyan Jiang. apin, 53(5):4875-4889, March 2023. [doi]

Gram-based Attentive Neural Ordinary Differential Equations Network for Video Nystagmography ClassificationXihe Qiu, Shaojie Shi, Xiaoyu Tan, Chao Qu, Zhijun Fang, Hailing Wang, Yongbin Gao, Peixia Wu, Huawei Li. iccv 2023: 21282-21291 [doi]

Semi-supervised recommender system for bone implant ratio recommendationXihe Qiu, Xiaoyu Tan, Fengting Yan, Qianmin Su, Jue Chen, Xiaoyan Jiang. jaihc, 14(5):5615-5624, 2023. [doi]

PCSboost: A Multi-Model Machine Learning Framework for Key Fragments Selection of Channelrhodopsins Achieving OptogeneticsXihe Qiu, Bo Zhang, Qiong Li, Xiaoyu Tan, Jue Chen. jcsc, 32(14), September 2023. [doi]

Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point ProcessesChao Qu, Xiaoyu Tan, Siqiao Xue, Xiaoming Shi, James Zhang, Hongyuan Mei. AAAI 2023: 9543-9551 [doi]

Adaptive Learning on User Segmentation: Universal to Specific Representation via Bipartite Neural InteractionXiaoyu Tan, Yongxin Deng, Chao Qu, Siqiao Xue, Xiaoming Shi, James Zhang, Xihe Qiu. sigir-ap 2023: 205-211 [doi]

Self-Criticism: Aligning Large Language Models with their Understanding of Helpfulness, Honesty, and HarmlessnessXiaoyu Tan, Shaojie Shi, Xihe Qiu, Chao Qu, Zhenting Qi, Yinghui Xu, Yuan Qi. emnlp 2023: 650-662 [doi]

Provably Invariant Learning without Domain InformationXiaoyu Tan, Lin Yong, Shengyu Zhu, Chao Qu, Xihe Qiu, Yinghui Xu, Peng Cui, Yuan Qi. icml 2023: 33563-33580 [doi]

2022

A model-based hybrid soft actor-critic deep reinforcement learning algorithm for optimal ventilator settingsShaotao Chen, Xihe Qiu, Xiaoyu Tan, Zhijun Fang, Yaochu Jin. isci, 611:47-64, 2022. [doi]

A latent batch-constrained deep reinforcement learning approach for precision dosing clinical decision supportXihe Qiu, Xiaoyu Tan, Qiong Li, Shaotao Chen, Yajun Ru, Yaochu Jin. kbs, 237:107689, 2022. [doi]

Sparse-attentive meta temporal point process for clinical decision supportYajun Ru, Xihe Qiu, Xiaoyu Tan, Bin Chen, Yongbin Gao, Yaochu Jin. ijon, 485:114-123, 2022. [doi]

A Meta Reinforcement Learning Approach for Predictive Autoscaling in the CloudSiqiao Xue, Chao Qu, Xiaoming Shi, Cong Liao, Shiyi Zhu, Xiaoyu Tan, Lintao Ma, Shiyu Wang, Shijun Wang, Yun Hu, Lei Lei 0001, Yangfei Zheng, Jianguo Li, James Zhang. kdd 2022: 4290-4299 [doi]

2020

Robot-assisted flexible needle insertion using universal distributional deep reinforcement learningXiaoyu Tan, Yonggu Lee, Chin-Boon Chng, Kah-Bin Lim 0001, Chee-Kong Chui. cars, 15(2):341-349, 2020. [doi]

2019

2018

Robust path planning for flexible needle insertion using Markov decision processesXiaoyu Tan, Pengqian Yu, Kah Bin Lim, Chee-Kong Chui. cars, 13(9):1439-1451, 2018. [doi]

2016

Design and implementation of a patient-specific cognitive engine for robotic needle insertionXiaoyu Tan, Chin-Boon Chng, Bin Duan, Yvonne Ho, Rong Wen, Xuan Chen, Kah Bin Lim, Chee-Kong Chui. SMC 2016: 560-565 [doi]

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