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 001; Chee-Kong Chui (SMC, 2016)

Robust path planning for flexible needle insertion using Markov decision processes. - Xiaoyu Tan; Pengqian Yu; Kah-Bin Lim 001; Chee-Kong Chui (Int. J. Comput. Assist. Radiol. Surg., 2018)

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 (OR/MLCN@MICCAI, 2019)

Simulation of Robot-Assisted Flexible Needle Insertion Using Deep Q-Network. - Yonggu Lee; Xiaoyu Tan; Chin-Boon Chng; Chee-Kong Chui (SMC, 2019)

Robot-Assisted Training in Laparoscopy Using Deep Reinforcement Learning. - Xiaoyu Tan; Chin-Boon Chng; Ye Su; Kah-Bin Lim 001; Chee-Kong Chui (IEEE Robotics Autom. Lett., 2019)

Robot-assisted flexible needle insertion using universal distributional deep reinforcement learning. - Xiaoyu Tan; Yonggu Lee; Chin-Boon Chng; Kah-Bin Lim 001; Chee-Kong Chui (Int. J. Comput. Assist. Radiol. Surg., 2020)

Model Embedding Model-Based Reinforcement Learning. - Xiaoyu Tan; Chao Qu; Junwu Xiong; James Zhang (CoRR, 2020)

A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud. - Siqiao Xue; Chao Qu; Xiaoming Shi 001; Cong Liao; Shiyi Zhu; Xiaoyu Tan; Lintao Ma; Shiyu Wang 001; Shijun Wang; Yun Hu 001; Lei Lei 001; Yangfei Zheng; et al. (KDD, 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 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)

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)

Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes. - Chao Qu; Xiaoyu Tan; Siqiao Xue; Xiaoming Shi 001; James Zhang; Hongyuan Mei (AAAI, 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 001 (ACL (industry), 2023)

PILLOW: Enhancing Efficient Instruction Fine-tuning via Prompt Matching. - Zhenting Qi; Xiaoyu Tan; Shaojie Shi; Chao Qu; Yinghui Xu; Yuan Qi 001 (EMNLP (Industry Track), 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 001 (EMNLP (Industry Track), 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 (ICCV, 2023)

Provably Invariant Learning without Domain Information. - Xiaoyu Tan; Lin Yong; Shengyu Zhu 001; Chao Qu; Xihe Qiu; Yinghui Xu; Peng Cui 001; Yuan Qi 001 (ICML, 2023)

Adaptive Learning on User Segmentation: Universal to Specific Representation via Bipartite Neural Interaction. - Xiaoyu Tan; Yongxin Deng; Chao Qu; Siqiao Xue; Xiaoming Shi 001; James Y. Zhang; Xihe Qiu (SIGIR-AP, 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)

An Attentive LSTM based approach for adverse drug reactions prediction. - Jiahui Qian; Xihe Qiu; Xiaoyu Tan; Qiong Li; Jue Chen; Xiaoyan Jiang (Appl. Intell., 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., 2023)

ILTS: Inducing Intention Propagation in Decentralized Multi-Agent Tasks with Large Language Models. - Xihe Qiu; Haoyu Wang 011; Xiaoyu Tan; Chao Qu (CIKM, 2024)

Robust Deep Hawkes Process Under Label Noise of Both Event and Occurrence. - Xiaoyu Tan; Bin Li 091; Xihe Qiu; Jingjing Huang; Yinghui Xu; Wei Chu (ECAI, 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 001 (EMNLP (Industry Track), 2024)

Subequivariant Reinforcement Learning Framework for Coordinated Motion Control. - Haoyu Wang 011; Xiaoyu Tan; Xihe Qiu; Chao Qu (ICRA, 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 001 (KDD, 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 001 (SIGIR, 2024)

An attentive Copula-based spatio-temporal graph model for multivariate time-series forecasting. - Xihe Qiu; Jiahui Qian; Haoyu Wang 011; Xiaoyu Tan; Yaochu Jin (Appl. Soft Comput., 2024)

G-K BertDTA: A graph representation learning and semantic embedding-based framework for drug-target affinity prediction. - Xihe Qiu; Haoyu Wang 011; Xiaoyu Tan; Zhijun Fang (Comput. Biol. Medicine, 2024)

MINDECHO: Role-Playing Language Agents for Key Opinion Leaders. - Rui Xu 026; Dakuan Lu; Xiaoyu Tan; Xintao Wang 001; Siyu Yuan; Jiangjie Chen; Wei Chu; Yinghui Xu (CoRR, 2024)

Struct-X: Enhancing Large Language Models Reasoning with Structured Data. - Xiaoyu Tan; Haoyu Wang 011; Xihe Qiu; Yuan Cheng; Yinghui Xu; Wei Chu; Yuan Qi 001 (CoRR, 2024)

Towards Collaborative Intelligence: Propagating Intentions and Reasoning for Multi-Agent Coordination with Large Language Models. - Xihe Qiu; Haoyu Wang 011; Xiaoyu Tan; Chao Qu; Yujie Xiong; Yuan Cheng; Yinghui Xu; Wei Chu; Yuan Qi 001 (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 001 (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 001 (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)

FedSlate:A Federated Deep Reinforcement Learning Recommender System. - Yongxin Deng; Xiaoyu Tan; Xihe Qiu; Yaochu Jin (CoRR, 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)

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)

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., 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., 2024)

Inferring Intents From Equivariant-Invariant Representations and Relational Learning in Multiagent Systems. - Xihe Qiu; Haoyu Wang 011; Xiaoyu Tan (IEEE Syst. J., 2024)

Multivariate graph neural networks on enhancing syntactic and semantic for aspect-based sentiment analysis. - Haoyu Wang 011; Xihe Qiu; Xiaoyu Tan (Appl. Intell., 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 (ICASSP, 2025)

An Attentive Dual-Encoder Framework Leveraging Multimodal Visual and Semantic Information for Automatic OSAHS Diagnosis. - Yingchen Wei; Xihe Qiu; Xiaoyu Tan; Jingjing Huang; Wei Chu; Yinghui Xu; Yuan Qi 001 (ICASSP, 2025)

Refine Knowledge of Large Language Models via Adaptive Contrastive Learning. - Yinghui Li; Haojing Huang 001; Jiayi Kuang; Yangning Li; Shu-Yu Guo; Chao Qu; Xiaoyu Tan; Hai-Tao Zheng 002; Ying Shen 001; Philip S. Yu (ICLR, 2025)

Struct-X: Enhancing the Reasoning Capabilities of Large Language Models in Structured Data Scenarios. - Xiaoyu Tan; Haoyu Wang 011; Xihe Qiu; Leijun Cheng; Yuan Cheng; Wei Chu; Yinghui Xu; Yuan Qi 001 (KDD (1), 2025)

Meta-Agent-Workflow: Streamlining Tool Usage in LLMs through Workflow Construction, Retrieval, and Refinement. - Xiaoyu Tan; Bin Li 091; Xihe Qiu; Chao Qu; Wei Chu; Yinghui Xu; Yuan Qi 001 (WWW (Companion Volume), 2025)

DMFusion: A dual-branch multi-scale feature fusion network for medical multi-modal image fusion. - Gengchen Ma; Xihe Qiu; Xiaoyu Tan (Biomed. Signal Process. Control., 2025)

Bio-K-Transformer: A pre-trained transformer-based sequence-to-sequence model for adverse drug reactions prediction. - Xihe Qiu; Siyue Shao; Haoyu Wang 011; Xiaoyu Tan (Comput. Methods Programs Biomed., 2025)

An innovative contrastive learning approach to improve image recognition robustness and interpretability via simulated environmental perturbations. - Leijun Cheng; Xihe Qiu; Xiaoyu Tan; Haoyu Wang 011; Yu-Jie Xiong (Eng. Appl. Artif. Intell., 2025)

AutoGRN: An adaptive multi-channel graph recurrent joint optimization network with Copula-based dependency modeling for spatio-temporal fusion in electrical power systems. - Haoyu Wang 011; Xihe Qiu; Yu-Jie Xiong; Xiaoyu Tan (Inf. Fusion, 2025)

Reward guidance for reinforcement learning tasks based on large language models: The LMGT framework. - Yongxin Deng; Xihe Qiu; Jue Chen; Xiaoyu Tan (Knowl. Based Syst., 2025)

LLM-GAODE: Large-language-model augmented neural ordinary differential equation network for video nystagmography classification. - Xihe Qiu; Shaojie Shi; Bin Li 091; Xiaoyu Tan; Yongbin Gao; Shuo Li 001 (Knowl. Based Syst., 2025)

SCP-116K: A High-Quality Problem-Solution Dataset and a Generalized Pipeline for Automated Extraction in the Higher Education Science Domain. - Dakuan Lu; Xiaoyu Tan; Rui Xu 026; Tianchu Yao; Chao Qu; Wei Chu; Yinghui Xu; Yuan Qi 001 (CoRR, 2025)

One Example Shown, Many Concepts Known! Counterexample-Driven Conceptual Reasoning in Mathematical LLMs. - Yinghui Li; Jiayi Kuang; Haojing Huang 001; Zhikun Xu; Xinnian Liang; Yi Yu; Wenlian Lu; Yangning Li; Xiaoyu Tan; Chao Qu; Ying Shen 001; Hai-Tao Zheng 002; et al. (CoRR, 2025)

AURORA:Automated Training Framework of Universal Process Reward Models via Ensemble Prompting and Reverse Verification. - Xiaoyu Tan; Tianchu Yao; Chao Qu; Bin Li 091; Minghao Yang; Dakuan Lu; Haozhe Wang 009; Xihe Qiu; Wei Chu; Yinghui Xu; Yuan Qi 001 (CoRR, 2025)

Guess What I am Thinking: A Benchmark for Inner Thought Reasoning of Role-Playing Language Agents. - Rui Xu 026; MingYu Wang; Xintao Wang 001; Dakuan Lu; Xiaoyu Tan; Wei Chu; Yinghui Xu (CoRR, 2025)

An end-to-end audio classification framework with diverse features for obstructive sleep apnea-hypopnea syndrome diagnosis. - Bin Li 091; Xihe Qiu; Xiaoyu Tan; Long Yang; Jing Tao; Zhijun Fang; Jingjing Huang (Appl. Intell., 2025)

Visual-Semantic Knowledge Conflicts in Operating Rooms: Synthetic Data Curation for Surgical Risk Perception in Multimodal Large Language Models. - Weiyi Zhao; Xiaoyu Tan; Liang Liu; Sijia Li; Youwei Song; Xihe Qiu (CoRR, 2025)

CVDLLM: Automated Cardiovascular Disease Diagnosis With Large-Language-Model-Assisted Graph Attentive Feature Interaction. - Xihe Qiu; Haoyu Wang 011; Xiaoyu Tan; Yaochu Jin (IEEE Trans. Artif. Intell., 2025)

MIMAR-OSA: Enhancing obstructive sleep apnea diagnosis through multimodal data integration and missing modality reconstruction. - Xihe Qiu; Yingchen Wei; Xiaoyu Tan; Weidi Xu; Haodong Wang; Jingru Ma; Jingjing Huang; Zhijun Fang (Pattern Recognit., 2026)