Xihe Qiu

Orcid: 0000-0003-4024-925X

According to our database1, Xihe Qiu authored at least 31 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Model-Based Off-Policy Deep Reinforcement Learning With Model-Embedding.
IEEE Trans. Emerg. Top. Comput. Intell., August, 2024

A k-nearest neighbor attentive deep autoregressive network for electricity consumption prediction.
Int. J. Mach. Learn. Cybern., April, 2024

EFN6D: an efficient RGB-D fusion network for 6D pose estimation.
J. Ambient Intell. Humaniz. Comput., January, 2024

Chain-of-LoRA: Enhancing the Instruction Fine-Tuning Performance of Low-Rank Adaptation on Diverse Instruction Set.
IEEE Signal Process. Lett., 2024

Balancing therapeutic effect and safety in ventilator parameter recommendation: An offline reinforcement learning approach.
Eng. Appl. Artif. Intell., 2024

Robust Deep Hawkes Process under Label Noise of Both Event and Occurrence.
CoRR, 2024

Thought-Like-Pro: Enhancing Reasoning of Large Language Models through Self-Driven Prolog-based Chain-of-Though.
CoRR, 2024

Towards Collaborative Intelligence: Propagating Intentions and Reasoning for Multi-Agent Coordination with Large Language Models.
CoRR, 2024

Struct-X: Enhancing Large Language Models Reasoning with Structured Data.
CoRR, 2024

An improved artificial bee colony algorithm to minimum propagation latency and balanced load for controller placement in Software Defined Network.
Comput. Networks, 2024

G-K BertDTA: A graph representation learning and semantic embedding-based framework for drug-target affinity prediction.
Comput. Biol. Medicine, 2024

Harmonious parameters and performance: Lightweight convolutional stage and local feature weighted fusion MLP for medical image segmentation.
Biomed. Signal Process. Control., 2024

An attentive Copula-based spatio-temporal graph model for multivariate time-series forecasting.
Appl. Soft Comput., 2024

Enhancing Task Performance in Continual Instruction Fine-tuning Through Format Uniformity.
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.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Subequivariant Reinforcement Learning Framework for Coordinated Motion Control.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
PCSboost: A Multi-Model Machine Learning Framework for Key Fragments Selection of Channelrhodopsins Achieving Optogenetics.
J. Circuits Syst. Comput., September, 2023

GOKA: A Network Partition and Cluster Fusion Algorithm for Controller Placement Problem in SDN.
J. Circuits Syst. Comput., June, 2023

A density algorithm for controller placement problem in software defined wide area networks.
J. Supercomput., March, 2023

An Attentive LSTM based approach for adverse drug reactions prediction.
Appl. Intell., March, 2023

Semi-supervised recommender system for bone implant ratio recommendation.
J. Ambient Intell. Humaniz. Comput., 2023

Adaptive Learning on User Segmentation: Universal to Specific Representation via Bipartite Neural Interaction.
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.
Proceedings of the International Conference on Machine Learning, 2023

Gram-based Attentive Neural Ordinary Differential Equations Network for Video Nystagmography Classification.
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.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

CRNN-SA: A Network Intrusion Detection Method Based on Deep Learning.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022
A latent batch-constrained deep reinforcement learning approach for precision dosing clinical decision support.
Knowl. Based Syst., 2022

A model-based hybrid soft actor-critic deep reinforcement learning algorithm for optimal ventilator settings.
Inf. Sci., 2022

Sparse-attentive meta temporal point process for clinical decision support.
Neurocomputing, 2022

A cross entropy based approach to minimum propagation latency for controller placement in Software Defined Network.
Comput. Commun., 2022

2020
Recovery and Reconstruction of Multicast Tree in Software-Defined Network: High Speed and Low Cost.
IEEE Access, 2020


  Loading...