Xiaoyu Tan - RankMe

99 papers A* 10A 4B 2Misc 2Journal 68Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	AURORA: Automated Training Framework of Universal Process Reward Models via Ensemble Prompting and Reverse Verification. KDD (1) Xiaoyu Tan, Tianchu Yao, Chao Qu, Bin Li, Minghao Yang, Dakuan Lu, Haozhe Wang, Yinghui Xu, Xihe Qiu
2026	A*	`conf`	Curiosity Driven Knowledge Retrieval for Mobile Agents. WWW Sijia Li, Xiaoyu Tan, Shahir Ali, Niels Schmidt, Gengchen Ma, Xihe Qiu
2026	J	`jnl`	Curiosity Driven Knowledge Retrieval for Mobile Agents. CoRR Sijia Li, Xiaoyu Tan, Shahir Ali, Niels Schmidt, Gengchen Ma, Xihe Qiu
2026	J	`jnl`	MDM-DTA: Message Passing Neural Network with molecular descriptors and Mixture of Experts for drug-target affinity prediction. Comput. Methods Programs Biomed. Yang Dai, Xiaoyu Tan, Haoyu Wang, Gengchen Ma, Yujie Xiong, Xihe Qiu
2026	J	`jnl`	MIMAR-OSA: Enhancing obstructive sleep apnea diagnosis through multimodal data integration and missing modality reconstruction. Pattern Recognit. Xihe Qiu, Yingchen Wei, Xiaoyu Tan, Weidi Xu, Haodong Wang, Jingru Ma, Jingjing Huang, Zhijun Fang
2026	J	`jnl`	PRISM: Festina Lente Proactivity - Risk-Sensitive, Uncertainty-Aware Deliberation for Proactive Agents. CoRR Yuxuan Fu, Xiaoyu Tan, Teqi Hao, Chen Zhan, Xihe Qiu
2026	J	`jnl`	SRU-Pix2Pix: A Fusion-Driven Generator Network for Medical Image Translation with Few-Shot Learning. CoRR Xihe Qiu, Yang Dai, Xiaoyu Tan, Sijia Li, Fenghao Sun, Lu Gan, Liang Liu
2026	J	`jnl`	VIVID-Med: LLM-Supervised Structured Pretraining for Deployable Medical ViTs. CoRR Xiyao Wang, Xiaoyu Tan, Yang Dai, Yuxuan Fu, Shuo Li, Xihe Qiu
2026	J	`jnl`	Youtu-VL: Unleashing Visual Potential via Unified Vision-Language Supervision. CoRR Zhixiang Wei, Yi Li, Zhehan Kan, Xinghua Jiang, Zuwei Long, Shifeng Liu, Hongze Shen, Wei Liu, Xiaoyu Tan, Haojia Lin, Yubo Zhu, Qianyu Li, Di Yin, Haoyu Cao, Weibo Gu, Xin Li, Yinsong Liu, Deqiang Jiang, Xing Sun, Yunsheng Wu, Mingkong Tang, Shuangyin Liu, Lexiang Tang, Haodong Lin, Junru Lu, Jiarui Qin, Lingfeng Qiao, Ruizhi Qiao, Bo Ke, Jianfeng He, Ke Li, Yangning Li, Yunhang Shen, Mengdan Zhang, Peixian Chen, Kun Yin, Bing Liu, Yunfei Wu, Huang Chen, Zhongpeng Cai, Xiaotian Li
2025	J	`jnl`	AURORA:Automated Training Framework of Universal Process Reward Models via Ensemble Prompting and Reverse Verification. CoRR Xiaoyu Tan, Tianchu Yao, Chao Qu, Bin Li, Minghao Yang, Dakuan Lu, Haozhe Wang, Xihe Qiu, Wei Chu, Yinghui Xu, Yuan Qi
2025	Misc	`conf`	An Attentive Dual-Encoder Framework Leveraging Multimodal Visual and Semantic Information for Automatic OSAHS Diagnosis. ICASSP Yingchen Wei, Xihe Qiu, Xiaoyu Tan, Jingjing Huang, Wei Chu, Yinghui Xu, Yuan Qi
2025	J	`jnl`	An end-to-end audio classification framework with diverse features for obstructive sleep apnea-hypopnea syndrome diagnosis. Appl. Intell. Bin Li, Xihe Qiu, Xiaoyu Tan, Long Yang, Jing Tao, Zhijun Fang, Jingjing Huang
2025	J	`jnl`	An innovative contrastive learning approach to improve image recognition robustness and interpretability via simulated environmental perturbations. Eng. Appl. Artif. Intell. Leijun Cheng, Xihe Qiu, Xiaoyu Tan, Haoyu Wang, Yu-Jie Xiong
2025	J	`jnl`	Atomic Thinking of LLMs: Decoupling and Exploring Mathematical Reasoning Abilities. CoRR Jiayi Kuang, Haojing Huang, Yinghui Li, Xinnian Liang, Zhikun Xu, Yangning Li, Xiaoyu Tan, Chao Qu, Meishan Zhang, Ying Shen, Philip S. Yu
2025	J	`jnl`	AutoGRN: An adaptive multi-channel graph recurrent joint optimization network with Copula-based dependency modeling for spatio-temporal fusion in electrical power systems. Inf. Fusion Haoyu Wang, Xihe Qiu, Yu-Jie Xiong, Xiaoyu Tan
2025	J	`jnl`	Bio-K-Transformer: A pre-trained transformer-based sequence-to-sequence model for adverse drug reactions prediction. Comput. Methods Programs Biomed. Xihe Qiu, Siyue Shao, Haoyu Wang, Xiaoyu Tan
2025	J	`jnl`	CUARewardBench: A Benchmark for Evaluating Reward Models on Computer-using Agent. CoRR Haojia Lin, Xiaoyu Tan, Yulei Qin, Zihan Xu, Yuchen Shi, Zongyi Li, Gang Li, Shaofei Cai, Siqi Cai, Chaoyou Fu, Ke Li, Xing Sun
2025	J	`jnl`	CVDLLM: Automated Cardiovascular Disease Diagnosis With Large-Language-Model-Assisted Graph Attentive Feature Interaction. IEEE Trans. Artif. Intell. Xihe Qiu, Haoyu Wang, Xiaoyu Tan, Yaochu Jin
2025	Misc	`conf`	CogniDual Framework: Self-Training Large Language Models within a Dual-System Theoretical Framework for Improving Cognitive Tasks. ICASSP Yongxin Deng, Xihe Qiu, Xiaoyu Tan, Chao Qu, Jing Pan, Yuan Cheng, Yinghui Xu, Wei Chu
2025	J	`jnl`	Count Counts: Motivating Exploration in LLM Reasoning with Count-based Intrinsic Rewards. CoRR Xuan Zhang, Ruixiao Li, Zhijian Zhou, Long Li, Yulei Qin, Ke Li, Xing Sun, Xiaoyu Tan, Chao Qu, Yuan Qi
2025	J	`jnl`	DMFusion: A dual-branch multi-scale feature fusion network for medical multi-modal image fusion. Biomed. Signal Process. Control. Gengchen Ma, Xihe Qiu, Xiaoyu Tan
2025	J	`jnl`	EEG-VLM: A Hierarchical Vision-Language Model with Multi-Level Feature Alignment and Visually Enhanced Language-Guided Reasoning for EEG Image-Based Sleep Stage Prediction. CoRR Xihe Qiu, Gengchen Ma, Haoyu Wang, Chen Zhan, Xiaoyu Tan, Shuo Li
2025	J	`jnl`	FedSlate: A Federated Deep Reinforcement Learning Recommender System. IEEE Trans. Emerg. Top. Comput. Intell. Yongxin Deng, Xihe Qiu, Xiaoyu Tan, Yaochu Jin
2025	—	`conf`	Guess What I am Thinking: A Benchmark for Inner Thought Reasoning of Role-Playing Language Agents. EMNLP (Findings) Rui Xu, Mingyu Wang, Xintao Wang, Dakuan Lu, Xiaoyu Tan, Wei Chu, Yinghui Xu
2025	J	`jnl`	Guess What I am Thinking: A Benchmark for Inner Thought Reasoning of Role-Playing Language Agents. CoRR Rui Xu, Mingyu Wang, Xintao Wang, Dakuan Lu, Xiaoyu Tan, Wei Chu, Yinghui Xu
2025	A	`conf`	HeStIa: Asynchronous Embodied Dynamic Locomotion Learning for Walking Robots through Multimodal Large Language Models. IROS Xiaoyu Tan, Haoyu Wang, Sijia Li, Yinghui Xu, Xihe Qiu
2025	J	`jnl`	Higher Satisfaction, Lower Cost: A Technical Report on How LLMs Revolutionize Meituan's Intelligent Interaction Systems. CoRR Xuxin Cheng, Ke Zeng, Zhiquan Cao, Linyi Dai, Wenxuan Gao, Fei Han, Ai Jian, Feng Hong, Wenxing Hu, Zihe Huang, Dejian Kong, Jia Leng, Zhuoyuan Liao, Pei Liu, Jiaye Lin, Xing Ma, Jingqing Ruan, Jiaxing Song, Xiaoyu Tan, Ruixuan Xiao, Wenhui Yu, WenYu Zhan, Haoxing Zhang, Chao Zhou, Hao Zhou, Shaodong Zheng, Ruinian Chen, Siyuan Chen, Ziyang Chen, Yiwen Dong, Yaoyou Fan, Yangyi Fang, Yang Gan, Shiguang Guo, Qi He, Chaowen Hu, Binghui Li, Dailin Li, Xiangyu Li, Yan Li, Chengjian Liu, Xiangfeng Liu, Jiahui Lv, Qiao Ma, Jiang Pan, Cong Qin, Chenxing Sun, Wen Sun, Zhonghui Wang, Abudukelimu Wuerkaixi, Xin Yang, Fangyi Yuan, Yawen Zhu, Tianyi Zhai, Jie Zhang, Runlai Zhang, Yao Xu, Yiran Zhao, Yifan Wang, Xunliang Cai, Yangen Hu, Cao Liu, Lu Pan, Xiaoli Wang, Bo Xiao, Wenyuan Yao, Qianlin Zhou, Benchang Zhu
2025	J	`jnl`	LLM-GAODE: Large-language-model augmented neural ordinary differential equation network for video nystagmography classification. Knowl. Based Syst. Xihe Qiu, Shaojie Shi, Bin Li, Xiaoyu Tan, Yongbin Gao, Shuo Li
2025	J	`jnl`	Learn the Ropes, Then Trust the Wins: Self-imitation with Progressive Exploration for Agentic Reinforcement Learning. CoRR Yulei Qin, Xiaoyu Tan, Zhengbao He, Gang Li, Haojia Lin, Zongyi Li, Zihan Xu, Yuchen Shi, Siqi Cai, Renting Rui, Shaofei Cai, Yuzheng Cai, Xuan Zhang, Sheng Ye, Ke Li, Xing Sun
2025	A	`conf`	Leave the Bias in Bias: Mitigating the Label Noise Effects in Continual Visual Instruction Fine-Tuning. ICME Xiaoyu Tan, Teqi Hao, Xihe Qiu, Shaojie Shi, Yuan Cheng, Wei Chu, Yinghui Xu, Yuan Qi
2025	—	`conf`	MVP-LLMs: Optimizing Intervention Timing and Subsequent Decision Support for Mechanical Ventilation Parameter Control Using Large Language Models. MICCAI (5) Teqi Hao, Xiaoyu Tan, Bin Li, Xuemin Wang, Chao Qu, Yinghui Xu, Xihe Qiu
2025	—	`conf`	Meta-Agent-Workflow: Streamlining Tool Usage in LLMs through Workflow Construction, Retrieval, and Refinement. WWW (Companion Volume) Xiaoyu Tan, Bin Li, Xihe Qiu, Chao Qu, Wei Chu, Yinghui Xu, Yuan Qi
2025	J	`jnl`	Multimodal heterogeneous graph fusion for automated obstructive sleep apnea-hypopnea syndrome diagnosis. Complex Intell. Syst. Haoyu Wang, Xihe Qiu, Bin Li, Xiaoyu Tan, Jingjing Huang
2025	J	`jnl`	ORIGAMISPACE: Benchmarking Multimodal LLMs in Multi-Step Spatial Reasoning with Mathematical Constraints. CoRR Rui Xu, Dakuan Lu, Zicheng Zhao, Xiaoyu Tan, Xintao Wang, Siyu Yuan, Jiangjie Chen, Yinghui Xu
2025	A*	`conf`	One Example Shown, Many Concepts Known! Counterexample-Driven Conceptual Reasoning in Mathematical LLMs. ICML Yinghui Li, Jiayi Kuang, Haojing Huang, Zhikun Xu, Xinnian Liang, Yi Yu, Wenlian Lu, Yangning Li, Xiaoyu Tan, Chao Qu, Ying Shen, Hai-Tao Zheng, Philip S. Yu
2025	J	`jnl`	One Example Shown, Many Concepts Known! Counterexample-Driven Conceptual Reasoning in Mathematical LLMs. CoRR Yinghui Li, Jiayi Kuang, Haojing Huang, Zhikun Xu, Xinnian Liang, Yi Yu, Wenlian Lu, Yangning Li, Xiaoyu Tan, Chao Qu, Ying Shen, Hai-Tao Zheng, Philip S. Yu
2025	—	`conf`	Prolog-Driven Rule-Based Diagnostics with Large Language Models for Precise Clinical Decision Support. MICCAI (10) Xiaoyu Tan, Bin Li, Weidi Xu, Chao Qu, Wei Chu, Yinghui Xu, Yuan Qi, Xihe Qiu
2025	A*	`conf`	Refine Knowledge of Large Language Models via Adaptive Contrastive Learning. ICLR Yinghui Li, Haojing Huang, Jiayi Kuang, Yangning Li, Shu-Yu Guo, Chao Qu, Xiaoyu Tan, Hai-Tao Zheng, Ying Shen, Philip S. Yu
2025	J	`jnl`	Refine Knowledge of Large Language Models via Adaptive Contrastive Learning. CoRR Yinghui Li, Haojing Huang, Jiayi Kuang, Yangning Li, Shu-Yu Guo, Chao Qu, Xiaoyu Tan, Hai-Tao Zheng, Ying Shen, Philip S. Yu
2025	J	`jnl`	Reward guidance for reinforcement learning tasks based on large language models: The LMGT framework. Knowl. Based Syst. Yongxin Deng, Xihe Qiu, Jue Chen, Xiaoyu Tan
2025	J	`jnl`	RoRecomp: Enhancing Reasoning Efficiency via Rollout Response Recomposition in Reinforcement Learning. CoRR Gang Li, Yulei Qin, Xiaoyu Tan, Dingkang Yang, Yuchen Shi, Zihan Xu, Xiang Li, Xing Sun, Ke Li
2025	—	`conf`	Robust Sleep Stage Prediction from Electroencephalogram with Label Noise Using Multimodal Large Language Models. MICCAI (6) Xihe Qiu, Chen Zhan, Gengchen Ma, Jingjing Huang, Xiaoyu Tan
2025	J	`jnl`	SCP-116K: A High-Quality Problem-Solution Dataset and a Generalized Pipeline for Automated Extraction in the Higher Education Science Domain. CoRR Dakuan Lu, Xiaoyu Tan, Rui Xu, Tianchu Yao, Chao Qu, Wei Chu, Yinghui Xu, Yuan Qi
2025	J	`jnl`	SmartSnap: Proactive Evidence Seeking for Self-Verifying Agents. CoRR Shaofei Cai, Yulei Qin, Haojia Lin, Zihan Xu, Gang Li, Yuchen Shi, Zongyi Li, Yong Mao, Siqi Cai, Xiaoyu Tan, Yitao Liang, Ke Li, Xing Sun
2025	—	`conf`	Struct-X: Enhancing the Reasoning Capabilities of Large Language Models in Structured Data Scenarios. KDD (1) Xiaoyu Tan, Haoyu Wang, Xihe Qiu, Leijun Cheng, Yuan Cheng, Wei Chu, Yinghui Xu, Yuan Qi
2025	J	`jnl`	The Choice of Divergence: A Neglected Key to Mitigating Diversity Collapse in Reinforcement Learning with Verifiable Reward. CoRR Long Li, Jiaran Hao, Jason Klein Liu, Zhijian Zhou, Xiaoyu Tan, Wei Chu, Zhe Wang, Shirui Pan, Chao Qu, Yuan Qi
2025	J	`jnl`	Training-Free Group Relative Policy Optimization. CoRR Yuzheng Cai, Siqi Cai, Yuchen Shi, Zihan Xu, Lichao Chen, Yulei Qin, Xiaoyu Tan, Gang Li, Zongyi Li, Haojia Lin, Yong Mao, Ke Li, Xing Sun
2025	J	`jnl`	Visual-Semantic Knowledge Conflicts in Operating Rooms: Synthetic Data Curation for Surgical Risk Perception in Multimodal Large Language Models. CoRR Weiyi Zhao, Xiaoyu Tan, Liang Liu, Sijia Li, Youwei Song, Xihe Qiu
2025	J	`jnl`	Youtu-Agent: Scaling Agent Productivity with Automated Generation and Hybrid Policy Optimization. CoRR Yuchen Shi, Yuzheng Cai, Siqi Cai, Zihan Xu, Lichao Chen, Yulei Qin, Zhijian Zhou, Xiang Fei, Chaofan Qiu, Xiaoyu Tan, Gang Li, Zongyi Li, Haojia Lin, Guocan Cai, Yong Mao, Yunsheng Wu, Ke Li, Xing Sun
2024	J	`jnl`	A k-nearest neighbor attentive deep autoregressive network for electricity consumption prediction. Int. J. Mach. Learn. Cybern. Xihe Qiu, Yajun Ru, Xiaoyu Tan, Jue Chen, Bin Chen, Yun Guo
2024	J	`jnl`	Adaptive Learning on User Segmentation: Universal to Specific Representation via Bipartite Neural Interaction. CoRR Xiaoyu Tan, Yongxin Deng, Chao Qu, Siqiao Xue, Xiaoming Shi, James Y. Zhang, Xihe Qiu
2024	J	`jnl`	An Attentive Dual-Encoder Framework Leveraging Multimodal Visual and Semantic Information for Automatic OSAHS Diagnosis. CoRR Yingchen Wei, Xihe Qiu, Xiaoyu Tan, Jingjing Huang, Wei Chu, Yinghui Xu, Yuan Qi
2024	J	`jnl`	An attentive Copula-based spatio-temporal graph model for multivariate time-series forecasting. Appl. Soft Comput. Xihe Qiu, Jiahui Qian, Haoyu Wang, Xiaoyu Tan, Yaochu Jin
2024	J	`jnl`	Balancing therapeutic effect and safety in ventilator parameter recommendation: An offline reinforcement learning approach. Eng. Appl. Artif. Intell. Bo Zhang, Xihe Qiu, Xiaoyu Tan
2024	J	`jnl`	Chain-of-LoRA: Enhancing the Instruction Fine-Tuning Performance of Low-Rank Adaptation on Diverse Instruction Set. IEEE Signal Process. Lett. Xihe Qiu, Teqi Hao, Shaojie Shi, Xiaoyu Tan, Yu-Jie Xiong
2024	J	`jnl`	CogniDual Framework: Self-Training Large Language Models within a Dual-System Theoretical Framework for Improving Cognitive Tasks. CoRR Yongxin Deng, Xihe Qiu, Xiaoyu Tan, Chao Qu, Jing Pan, Yuan Cheng, Yinghui Xu, Wei Chu
2024	A*	`conf`	Enhancing Personalized Headline Generation via Offline Goal-conditioned Reinforcement Learning with Large Language Models. KDD Xiaoyu Tan, Leijun Cheng, Xihe Qiu, Shaojie Shi, Yuan Cheng, Wei Chu, Yinghui Xu, Yuan Qi
2024	A*	`conf`	Enhancing Task Performance in Continual Instruction Fine-tuning Through Format Uniformity. SIGIR Xiaoyu Tan, Leijun Cheng, Xihe Qiu, Shaojie Shi, Yuan Cheng, Wei Chu, Yinghui Xu, Yuan Qi
2024	J	`jnl`	FedSlate:A Federated Deep Reinforcement Learning Recommender System. CoRR Yongxin Deng, Xiaoyu Tan, Xihe Qiu, Yaochu Jin
2024	J	`jnl`	G-K BertDTA: A graph representation learning and semantic embedding-based framework for drug-target affinity prediction. Comput. Biol. Medicine Xihe Qiu, Haoyu Wang, Xiaoyu Tan, Zhijun Fang
2024	A	`conf`	ILTS: Inducing Intention Propagation in Decentralized Multi-Agent Tasks with Large Language Models. CIKM Xihe Qiu, Haoyu Wang, Xiaoyu Tan, Chao Qu
2024	J	`jnl`	Inferring Intents From Equivariant-Invariant Representations and Relational Learning in Multiagent Systems. IEEE Syst. J. Xihe Qiu, Haoyu Wang, Xiaoyu Tan
2024	J	`jnl`	LMGT: Optimizing Exploration-Exploitation Balance in Reinforcement Learning through Language Model Guided Trade-offs. CoRR Yongxin Deng, Xihe Qiu, Xiaoyu Tan, Wei Chu, Yinghui Xu
2024	J	`jnl`	MINDECHO: Role-Playing Language Agents for Key Opinion Leaders. CoRR Rui Xu, Dakuan Lu, Xiaoyu Tan, Xintao Wang, Siyu Yuan, Jiangjie Chen, Wei Chu, Yinghui Xu
2024	J	`jnl`	Model-Based Off-Policy Deep Reinforcement Learning With Model-Embedding. IEEE Trans. Emerg. Top. Comput. Intell. Xiaoyu Tan, Chao Qu, Junwu Xiong, James Y. Zhang, Xihe Qiu, Yaochu Jin
2024	J	`jnl`	Multivariate graph neural networks on enhancing syntactic and semantic for aspect-based sentiment analysis. Appl. Intell. Haoyu Wang, Xihe Qiu, Xiaoyu Tan
2024	J	`jnl`	Promoting Equality in Large Language Models: Identifying and Mitigating the Implicit Bias based on Bayesian Theory. CoRR Yongxin Deng, Xihe Qiu, Xiaoyu Tan, Jing Pan, Jue Chen, Zhijun Fang, Yinghui Xu, Wei Chu, Yuan Qi
2024	A	`conf`	Robust Deep Hawkes Process Under Label Noise of Both Event and Occurrence. ECAI Xiaoyu Tan, Bin Li, Xihe Qiu, Jingjing Huang, Yinghui Xu, Wei Chu
2024	J	`jnl`	Robust Deep Hawkes Process under Label Noise of Both Event and Occurrence. CoRR Xiaoyu Tan, Bin Li, Xihe Qiu, Jingjing Huang, Yinghui Xu, Wei Chu
2024	J	`jnl`	Struct-X: Enhancing Large Language Models Reasoning with Structured Data. CoRR Xiaoyu Tan, Haoyu Wang, Xihe Qiu, Yuan Cheng, Yinghui Xu, Wei Chu, Yuan Qi
2024	A*	`conf`	Subequivariant Reinforcement Learning Framework for Coordinated Motion Control. ICRA Haoyu Wang, Xiaoyu Tan, Xihe Qiu, Chao Qu
2024	J	`jnl`	Subequivariant Reinforcement Learning Framework for Coordinated Motion Control. CoRR Haoyu Wang, Xiaoyu Tan, Xihe Qiu, Chao Qu
2024	J	`jnl`	Thought-Like-Pro: Enhancing Reasoning of Large Language Models through Self-Driven Prolog-based Chain-of-Though. CoRR Xiaoyu Tan, Yongxin Deng, Xihe Qiu, Weidi Xu, Chao Qu, Wei Chu, Yinghui Xu, Yuan Qi
2024	J	`jnl`	Towards Collaborative Intelligence: Propagating Intentions and Reasoning for Multi-Agent Coordination with Large Language Models. CoRR Xihe Qiu, Haoyu Wang, Xiaoyu Tan, Chao Qu, Yujie Xiong, Yuan Cheng, Yinghui Xu, Wei Chu, Yuan Qi
2024	—	`conf`	ULMR: Unlearning Large Language Models via Negative Response and Model Parameter Average. EMNLP (Industry Track) Shaojie Shi, Xiaoyu Tan, Xihe Qiu, Chao Qu, Kexin Nie, Yuan Cheng, Wei Chu, Yinghui Xu, Yuan Qi
2023	—	`conf`	Adaptive Learning on User Segmentation: Universal to Specific Representation via Bipartite Neural Interaction. SIGIR-AP Xiaoyu Tan, Yongxin Deng, Chao Qu, Siqiao Xue, Xiaoming Shi, James Y. Zhang, Xihe Qiu
2023	J	`jnl`	An Attentive LSTM based approach for adverse drug reactions prediction. Appl. Intell. Jiahui Qian, Xihe Qiu, Xiaoyu Tan, Qiong Li, Jue Chen, Xiaoyan Jiang
2023	A*	`conf`	Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes. AAAI Chao Qu, Xiaoyu Tan, Siqiao Xue, Xiaoming Shi, James Zhang, Hongyuan Mei
2023	A*	`conf`	Gram-based Attentive Neural Ordinary Differential Equations Network for Video Nystagmography Classification. ICCV Xihe Qiu, Shaojie Shi, Xiaoyu Tan, Chao Qu, Zhijun Fang, Hailing Wang, Yongbin Gao, Peixia Wu, Huawei Li
2023	J	`jnl`	PCSboost: A Multi-Model Machine Learning Framework for Key Fragments Selection of Channelrhodopsins Achieving Optogenetics. J. Circuits Syst. Comput. Xihe Qiu, Bo Zhang, Qiong Li, Xiaoyu Tan, Jue Chen
2023	—	`conf`	PILLOW: Enhancing Efficient Instruction Fine-tuning via Prompt Matching. EMNLP (Industry Track) Zhenting Qi, Xiaoyu Tan, Shaojie Shi, Chao Qu, Yinghui Xu, Yuan Qi
2023	J	`jnl`	PILLOW: Enhancing Efficient Instruction Fine-tuning via Prompt Matching. CoRR Zhenting Qi, Xiaoyu Tan, Shaojie Shi, Chao Qu, Yinghui Xu, Yuan Qi
2023	A*	`conf`	Provably Invariant Learning without Domain Information. ICML Xiaoyu Tan, Lin Yong, Shengyu Zhu, Chao Qu, Xihe Qiu, Yinghui Xu, Peng Cui, Yuan Qi
2023	—	`conf`	SaFER: A Robust and Efficient Framework for Fine-tuning BERT-based Classifier with Noisy Labels. ACL (industry) Zhenting Qi, Xiaoyu Tan, Chao Qu, Yinghui Xu, Yuan Qi
2023	—	`conf`	Self-Criticism: Aligning Large Language Models with their Understanding of Helpfulness, Honesty, and Harmlessness. EMNLP (Industry Track) Xiaoyu Tan, Shaojie Shi, Xihe Qiu, Chao Qu, Zhenting Qi, Yinghui Xu, Yuan Qi
2023	J	`jnl`	Semi-supervised recommender system for bone implant ratio recommendation. J. Ambient Intell. Humaniz. Comput. Xihe Qiu, Xiaoyu Tan, Fengting Yan, Qianmin Su, Jue Chen, Xiaoyan Jiang
2022	A*	`conf`	A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud. KDD 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
2022	J	`jnl`	A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud. CoRR 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
2022	J	`jnl`	A latent batch-constrained deep reinforcement learning approach for precision dosing clinical decision support. Knowl. Based Syst. Xihe Qiu, Xiaoyu Tan, Qiong Li, Shaotao Chen, Yajun Ru, Yaochu Jin
2022	J	`jnl`	A model-based hybrid soft actor-critic deep reinforcement learning algorithm for optimal ventilator settings. Inf. Sci. Shaotao Chen, Xihe Qiu, Xiaoyu Tan, Zhijun Fang, Yaochu Jin
2022	J	`jnl`	Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes. CoRR Chao Qu, Xiaoyu Tan, Siqiao Xue, Xiaoming Shi, James Zhang, Hongyuan Mei
2022	J	`jnl`	Sparse-attentive meta temporal point process for clinical decision support. Neurocomputing Yajun Ru, Xihe Qiu, Xiaoyu Tan, Bin Chen, Yongbin Gao, Yaochu Jin
2020	J	`jnl`	Model Embedding Model-Based Reinforcement Learning. CoRR Xiaoyu Tan, Chao Qu, Junwu Xiong, James Zhang
2020	J	`jnl`	Robot-assisted flexible needle insertion using universal distributional deep reinforcement learning. Int. J. Comput. Assist. Radiol. Surg. Xiaoyu Tan, Yonggu Lee, Chin-Boon Chng, Kah-Bin Lim, Chee-Kong Chui
2019	J	`jnl`	Robot-Assisted Training in Laparoscopy Using Deep Reinforcement Learning. IEEE Robotics Autom. Lett. Xiaoyu Tan, Chin-Boon Chng, Ye Su, Kah-Bin Lim, Chee-Kong Chui
2019	B	`conf`	Simulation of Robot-Assisted Flexible Needle Insertion Using Deep Q-Network. SMC Yonggu Lee, Xiaoyu Tan, Chin-Boon Chng, Chee-Kong Chui
2019	—	`conf`	Towards a Cyber-Physical Systems Based Operating Room of the Future. OR/MLCN@MICCAI Chin-Boon Chng, Pooi-Mun Wong, Nicholas J. H. Ho, Xiaoyu Tan, Chee-Kong Chui
2018	J	`jnl`	Robust path planning for flexible needle insertion using Markov decision processes. Int. J. Comput. Assist. Radiol. Surg. Xiaoyu Tan, Pengqian Yu, Kah-Bin Lim, Chee-Kong Chui
2016	B	`conf`	Design and implementation of a patient-specific cognitive engine for robotic needle insertion. SMC Xiaoyu Tan, Chin-Boon Chng, Bin Duan, Yvonne Ho, Rong Wen, Xuan Chen, Kah Bin Lim, Chee-Kong Chui