Xun Zhou

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2025
Maximum Score Routing For Mixture-of-Experts.
CoRR, August, 2025

UW-3DGS: Underwater 3D Reconstruction with Physics-Aware Gaussian Splatting.
CoRR, August, 2025

RankMixer: Scaling Up Ranking Models in Industrial Recommenders.
CoRR, July, 2025

IndexTTS2: A Breakthrough in Emotionally Expressive and Duration-Controlled Auto-Regressive Zero-Shot Text-to-Speech.
CoRR, June, 2025

Stepsize anything: A unified learning rate schedule for budgeted-iteration training.
CoRR, May, 2025

Scaling Law for Quantization-Aware Training.
CoRR, May, 2025

Model Merging in Pre-training of Large Language Models.
CoRR, May, 2025

Evolutionary Neural Architecture Search for Transferable Networks.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2025

Efficient Pretraining Length Scaling.
CoRR, 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

Frac-Connections: Fractional Extension of Hyper-Connections.
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

Enhancing Auto-regressive Chain-of-Thought through Loop-Aligned Reasoning.
CoRR, February, 2025

Over-Tokenized Transformer: Vocabulary is Generally Worth Scaling.
CoRR, January, 2025

Real-time Indexing for Large-scale Recommendation by Streaming Vector Quantization Retriever.
CoRR, January, 2025

Contrastive Feedback Vision-Language for 3D Skeleton-Based Action Recognition.
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

Large Memory Network for Recommendation.
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

Adaptive Domain Scaling for Personalized Sequential Modeling in Recommenders.
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

Hyper-Connections.
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

Ultra-Sparse Memory Network.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Design Principle Transfer in Neural Architecture Search via Large Language Models.
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

Toward Evolutionary Multitask Convolutional Neural Architecture Search.
IEEE Trans. Evol. Comput., June, 2024

MT4MTL-KD: A Multi-Teacher Knowledge Distillation Framework for Triplet Recognition.
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

Towards Simple and Provable Parameter-Free Adaptive Gradient Methods.
CoRR, 2024

WebLLM: A High-Performance In-Browser LLM Inference Engine.
CoRR, 2024

MARS: Unleashing the Power of Variance Reduction for Training Large Models.
CoRR, 2024

Local deployment of large-scale music AI models on commodity hardware.
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

Efficient Text-driven Motion Generation via Latent Consistency Training.
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

Seeing the Image: Prioritizing Visual Correlation by Contrastive Alignment.
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

Unlocking Customer (Dis)satisfaction in Robotic Service: An Exploratory Study.
Proceedings of the 32nd European Conference on Information Systems, 2024

FT-GAN: Fine-Grained Tune Modeling for Chinese Opera Synthesis.
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

A Hybrid Search Method for Accelerating Convolutional Neural Architecture Search.
Proceedings of the 15th International Conference on Machine Learning and Computing, 2023

A High-Quality Melody-Aware Peking Opera Synthesizer Using Data Augmentation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

2022
A Chaotic Antlion Optimization Algorithm for Text Feature Selection.
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

Bioinformatics analysis methods for cell-free DNA.
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

A chaotic parallel antlion optimization algorithm for feature selection.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Spherical Graph Embedding for Item Retrieval in Recommendation System.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
A Survey on Evolutionary Construction of Deep Neural Networks.
IEEE Trans. Evol. Comput., 2021

Shadow prices and marginal abatement costs: Convex quantile regression approach.
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

A Survey of Advances in Evolutionary Neural Architecture Search.
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

What drives decarbonization of new passenger cars?
Eur. J. Oper. Res., 2020

2019
When Road Information Meets Data Mining: Precision Detection for Heading and Width of Roads.
IEEE Access, 2019

Multi-task based Sales Predictions for Online Promotions.
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
A Novel Approach for Mining Road Information from Low Precision GPS Data.
Proceedings of the International Conference on Networking and Network Applications, 2017

See the near future: A short-term predictive methodology to traffic load in ITS.
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

A Novel Method for Smoothing Raw GPS Data with Low Cost and High Reliability.
Proceedings of the IEEE 84th Vehicular Technology Conference, 2016

2015
SVD-based incremental approaches for recommender systems.
J. Comput. Syst. Sci., 2015

2014
Scalable approximating SVD algorithm for recommender systems.
Web Intell. Agent Syst., 2014

Wireless Information and Power Transfer in Multiuser OFDM Systems.
IEEE Trans. Wirel. Commun., 2014

Summary-Vector-Based Effective and Fast Immunization for Epidemic-Based Routing in Opportunistic Networks.
IEEE Commun. Lett., 2014

Wireless power meets energy harvesting: A joint energy allocation approach.
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

A caching-list based fast handoff mechanism in wireless mesh networks.
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
Direct incremental transmission of boundary representation.
Proceedings of the Eighth ACM Symposium on Solid Modeling and Applications 2003, 2003


  Loading...