Xihe Qiu - RankMe

91 papers A* 7A 4B 1C 1Misc 2Journal 66Unranked 10

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	J	`jnl`	CNEKA: An Algorithm for SDN Controller Placement Based on Graph Convolutional Networks. Concurr. Comput. Pract. Exp. Yirui Rao, Jue Chen, 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`	GCB-PPO2: A Hybrid Deep Reinforcement Learning Intrusion Detection System for Under-Represented Attack Categories in SDN. IEEE Trans. Netw. Sci. Eng. Jue Chen, Hongyu Tao, Meng Cui, Haidong Peng, 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`	MIF-gaus: Monocular implicit feature-driven generalizable Gaussian splatting reconstruction. Neurocomputing Chen Guo, Ying Li, Chenmou Wu, Jiuqing Dong, Wenjun Yu, Xihe Qiu, Yongbin Gao
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`	Multiagent Fuzzy Reinforcement Learning With LLM for Cooperative Navigation of Endovascular Robotics. IEEE Trans. Fuzzy Syst. Tianliang Yao, Yueqi Xu, Haoyu Wang, Xihe Qiu, Kaspar Althoefer, Peng Qi
2026	J	`jnl`	PAST: Pairwise attention swin transformer for offline signature verification. Int. J. Document Anal. Recognit. Yu-Jie Xiong, Jian-Xin Ren, Dong-Hai Zhu, Xi-Jiong Xie, Xihe Qiu
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
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	J	`jnl`	Adaptive heterogeneous graph reasoning for relational understanding in interconnected systems. J. Supercomput. Bin Li, Haoyu Wang, Xaoyu Tan, Qiong Li, Jue Chen, Xihe Qiu
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`	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`	CRGT-SA: an interlaced and spatiotemporal deep learning model for network intrusion detection. Frontiers Inf. Technol. Electron. Eng. Jue Chen, Wanxiao Liu, Xihe Qiu, Wenjing Lv, Yujie Xiong
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`	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	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`	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	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	J	`jnl`	MOOO-RDQN: A deep reinforcement learning based method for multi-objective optimization of controller placement and traffic monitoring in SDN. J. Netw. Comput. Appl. Jue Chen, Yurui Ma, Wenjing Lv, Xihe Qiu, Junhao Wu
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`	Mixture of Routers. CoRR Jia-Chen Zhang, Yu-Jie Xiong, Xihe Qiu, Chun-Ming Xia, Fei Dai
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	A*	`conf`	PTQ4RIS: Post-Training Quantization for Referring Image Segmentation. ICRA Xiaoyan Jiang, Hang Yang, Kaiying Zhu, Xihe Qiu, Shibo Zhao, Sifan Zhou
2025	B	`conf`	Parameter-Efficient Fine-Tuning of Large Language Models via Deconvolution in Subspace. COLING Jia-Chen Zhang, Yu-Jie Xiong, Chun-Ming Xia, Dong-Hai Zhu, Xihe Qiu
2025	J	`jnl`	Parameter-Efficient Fine-Tuning of Large Language Models via Deconvolution in Subspace. CoRR Jia-Chen Zhang, Yu-Jie Xiong, Chun-Ming Xia, Dong-Hai Zhu, Xihe Qiu
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	J	`jnl`	Reflective Personalization Optimization: A Post-hoc Rewriting Framework for Black-Box Large Language Models. CoRR Teqi Hao, Xioayu Tan, Shaojie Shi, Yinghui Xu, Xihe Qiu
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	—	`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`	SPSleepNet: enhancing EEG-based sleep staging for OSA patients via sleep position integration. Complex Intell. Syst. Yue Zhang, Xihe Qiu, Gengchen Ma, Long Yang, Jing Tao, Jingjing Huang
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`	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
2024	C	`conf`	A Medical Image Segmentation Method based on Multi-scale Features and Contour Loss Constrain (S). SEKE Jian Niu, Zhijun Fang, Chen Qian, Xihe Qiu
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`	An improved artificial bee colony algorithm to minimum propagation latency and balanced load for controller placement in Software Defined Network. Comput. Networks Yurui Ma, Jue Chen, Wenjing Lv, Xihe Qiu, Yue Zhang, Wanxiao Liu
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	J	`jnl`	Distribution-aware Noisy-label Crack Segmentation. CoRR Xiaoyan Jiang, Xinlong Wan, Kaiying Zhu, Xihe Qiu, Zhijun Fang
2024	J	`jnl`	EFN6D: an efficient RGB-D fusion network for 6D pose estimation. J. Ambient Intell. Humaniz. Comput. Yaming Wang, Xiaoyan Jiang, Hamido Fujita, Zhijun Fang, Xihe Qiu, Jue Chen
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	J	`jnl`	Harmonious parameters and performance: Lightweight convolutional stage and local feature weighted fusion MLP for medical image segmentation. Biomed. Signal Process. Control. Yan-Xu Chen, Yu-Jie Xiong, Xihe Qiu, Chun-Ming Xia
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`	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`	Multi-class intrusion detection system in SDN based on hybrid BiLSTM model. Clust. Comput. Meng Cui, Jue Chen, Xihe Qiu, Wenjing Lv, Haijun Qin, Xinyu Zhang
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`	PTQ4RIS: Post-Training Quantization for Referring Image Segmentation. CoRR Xiaoyan Jiang, Hang Yang, Kaiying Zhu, Xihe Qiu, Shibo Zhao, Sifan Zhou
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	J	`jnl`	A density algorithm for controller placement problem in software defined wide area networks. J. Supercomput. Dun He, Jue Chen, Xihe Qiu
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	—	`conf`	CRNN-SA: A Network Intrusion Detection Method Based on Deep Learning. ADMA (2) Wanxiao Liu, Jue Chen, Xihe Qiu
2023	J	`jnl`	GOKA: A Network Partition and Cluster Fusion Algorithm for Controller Placement Problem in SDN. J. Circuits Syst. Comput. Changwei Xiao, Jue Chen, Xihe Qiu, Dun He, Hanmin Yin
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	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`	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	J	`jnl`	A cross entropy based approach to minimum propagation latency for controller placement in Software Defined Network. Comput. Commun. Jue Chen, Yu-Jie Xiong, Xihe Qiu, Dun He, Hanmin Yin, Changwei Xiao
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`	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`	Recovery and Reconstruction of Multicast Tree in Software-Defined Network: High Speed and Low Cost. IEEE Access Jue Chen, Fengting Yan, Dongmei Li, Shanshan Chen, Xihe Qiu