Xun Zhou
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Bibliography
2025
CoRR, August, 2025
IndexTTS2: A Breakthrough in Emotionally Expressive and Duration-Controlled Auto-Regressive Zero-Shot Text-to-Speech.
CoRR, June, 2025
CoRR, May, 2025
IEEE Trans. Emerg. Top. Comput. Intell., April, 2025
Uni-PrevPredMap: Extending PrevPredMap to a Unified Framework of Prior-Informed Modeling for Online Vectorized HD Map Construction.
CoRR, April, 2025
Expert Race: A Flexible Routing Strategy for Scaling Diffusion Transformer with Mixture of Experts.
CoRR, March, 2025
HybridNorm: Towards Stable and Efficient Transformer Training via Hybrid Normalization.
CoRR, March, 2025
Scale-Distribution Decoupling: Enabling Stable and Effective Training of Large Language Models.
CoRR, February, 2025
CoRR, February, 2025
CoRR, January, 2025
Real-time Indexing for Large-scale Recommendation by Streaming Vector Quantization Retriever.
CoRR, January, 2025
IEEE Trans. Multim., 2025
Hybrid DQN-Based Low-Computational Reinforcement Learning Object Detection With Adaptive Dynamic Reward Function and ROI Align-Based Bounding Box Regression.
IEEE Trans. Image Process., 2025
Multisensor Data Fusion and Deep Feature-Based Classification for Mapping China's Coastal and Wetland Areas.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025
Learning improvement representations to accelerate evolutionary large-scale multiobjective optimization.
Inf. Sci., 2025
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025
PrevPredMap: Exploring Temporal Modeling with Previous Predictions for Online Vectorized HD Map Construction.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025
Polynomial Composition Activations: Unleashing the Dynamics of Large Language Models.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence Inference.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
NDNet: Spacewise Multiscale Representation Learning via Neighbor Decoupling for Real-Time Driving Scene Parsing.
IEEE Trans. Neural Networks Learn. Syst., June, 2024
IEEE Trans. Evol. Comput., June, 2024
IEEE Trans. Medical Imaging, April, 2024
ASPP+-LANet: A Multi-Scale Context Extraction Network for Semantic Segmentation of High-Resolution Remote Sensing Images.
Remote. Sens., March, 2024
Decoupling semantic and localization for semantic segmentation via magnitude-aware and phase-sensitive learning.
Inf. Fusion, 2024
Application research of credit fraud detection based on distributed rotation deep forest.
Intell. Data Anal., 2024
CoRR, 2024
Unlock the Correlation between Supervised Fine-Tuning and Reinforcement Learning in Training Code Large Language Models.
CoRR, 2024
Mistral-C2F: Coarse to Fine Actor for Analytical and Reasoning Enhancement in RLHF and Effective-Merged LLMs.
CoRR, 2024
NeRF2Points: Large-Scale Point Cloud Generation From Street Views' Radiance Field Optimization.
CoRR, 2024
Balancing Enhancement, Harmlessness, and General Capabilities: Enhancing Conversational LLMs with Direct RLHF.
CoRR, 2024
ICE-GRT: Instruction Context Enhancement by Generative Reinforcement based Transformers.
CoRR, 2024
MoTE: Reconciling Generalization with Specialization for Visual-Language to Video Knowledge Transfer.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
SNF-Feat: Semantic-Guided Negative-Sample-Free Representation Learning for Local Feature Extraction.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024
World to Code: Multi-modal Data Generation via Self-Instructed Compositional Captioning and Filtering.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the 32nd European Conference on Information Systems, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Generalized quantile and expectile properties for shape constrained nonparametric estimation.
Eur. J. Oper. Res., October, 2023
Effects of prefilmer edge configuration on primary liquid film breakup: A lattice Boltzmann study.
Comput. Math. Appl., September, 2023
Performance Comparison of Computational Methods for the Prediction of the Function and Pathogenicity of Non-coding Variants.
Genom. Proteom. Bioinform., June, 2023
A Lightweight Object Detector Based on Spatial-Coordinate Self-Attention for UAV Aerial Images.
Remote. Sens., January, 2023
Unmasking the bright-dark duality of social media use on psychological well-being: a large-scale longitudinal study.
Internet Res., 2023
GPT-Fathom: Benchmarking Large Language Models to Decipher the Evolutionary Path towards GPT-4 and Beyond.
CoRR, 2023
PUW-Feat: A Progressive and Unified Method for Weakly Supervised Local Feature Learning.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
Proceedings of the 15th International Conference on Machine Learning and Computing, 2023
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023
2022
Int. J. Comput. Intell. Syst., 2022
Lattice Boltzmann modeling of primary liquid film breakup at the prefilmer edge: Effects of surface wettability.
Comput. Math. Appl., 2022
ToxMVA: An end-to-end multi-view deep autoencoder method for protein toxicity prediction.
Comput. Biol. Medicine, 2022
FCH-TTS: Fast, Controllable and High-quality Non-Autoregressive Text-to-Speech Synthesis.
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
2021
IEEE Trans. Evol. Comput., 2021
Eur. J. Oper. Res., 2021
Simulation of binary droplet collision with different angles based on a pseudopotential multiple-relaxation-time lattice Boltzmann model.
Comput. Math. Appl., 2021
How Do Customers Respond to Robotic Service? A Scenario-Based Study from the Perspective of Uncertainty Reduction Theory.
Proceedings of the 54th Hawaii International Conference on System Sciences, 2021
A Research on the Application of Adaptive Rotation Deep Forest on Low Dimensional Datasets.
Proceedings of the EITCE 2021: 5th International Conference on Electronic Information Technology and Computer Engineering, Xiamen, China, October 22, 2021
Application of Distributed Seagull Optimization Improved Algorithm in Sentiment Tendency Prediction.
Proceedings of the Complex, Intelligent and Software Intensive Systems, 2021
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
Optimizing Photoacoustic Tomography: Lymphatic Drainage from the Brain in Pigmented Mice.
Proceedings of the Bioengineering and Biomedical Signal and Image Processing, 2021
2020
Supervised High-Level Feature Learning With Label Consistencies for Object Recognition.
IEEE Trans. Geosci. Remote. Sens., 2020
2019
When Road Information Meets Data Mining: Precision Detection for Heading and Width of Roads.
IEEE Access, 2019
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
2018
Real-Time Traffic Prediction: A Novel Imputation Optimization Algorithm with Missing Data.
Proceedings of the IEEE Global Communications Conference, 2018
2017
Proceedings of the International Conference on Networking and Network Applications, 2017
Proceedings of the IEEE International Conference on Communications, 2017
2016
Wireless Power Meets Energy Harvesting: A Joint Energy Allocation Approach in OFDM-Based System.
IEEE Trans. Wirel. Commun., 2016
Rational and self-adaptive evolutionary extreme learning machine for electricity price forecast.
Memetic Comput., 2016
Proceedings of the IEEE 84th Vehicular Technology Conference, 2016
2015
J. Comput. Syst. Sci., 2015
2014
Web Intell. Agent Syst., 2014
IEEE Trans. Wirel. Commun., 2014
Summary-Vector-Based Effective and Fast Immunization for Epidemic-Based Routing in Opportunistic Networks.
IEEE Commun. Lett., 2014
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014
Constrained multi-objective evolutionary algorithm based on decomposition for environmental/economic dispatch.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Control and Automation, 2014
2013
Wireless Information and Power Transfer: Architecture Design and Rate-Energy Tradeoff.
IEEE Trans. Commun., 2013
Proceedings of the International Conference on Information and Communication Technology Convergence, 2013
2012
A Personalized Recommendation Algorithm Based on Approximating the Singular Value Decomposition (ApproSVD).
Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Intelligent Agent Technology, 2012
2011
A kind of multiquadric quasi-interpolation operator satisfying any degree polynomial reproduction property to scattered data.
J. Comput. Appl. Math., 2011
An Efficient Power Allocation Algorithm for OFDM Based Underlay Cognitive Radio Networks.
Proceedings of the Global Communications Conference, 2011
2005
Research for Source Routing Based Multipath Routing Protocol.
Proceedings of the 2005 International Conference on Communications in Computing, 2005
2003
Proceedings of the Eighth ACM Symposium on Solid Modeling and Applications 2003, 2003