Xiao-Yang Liu

Orcid: 0000-0002-9532-1709

According to our database1, Xiao-Yang Liu authored at least 150 papers between 2005 and 2024.

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Bibliography

2024
The Model Openness Framework: Promoting Completeness and Openness for Reproducibility, Transparency and Usability in AI.
CoRR, 2024

FinGPT-HPC: Efficient Pretraining and Finetuning Large Language Models for Financial Applications with High-Performance Computing.
CoRR, 2024

The FinBen: An Holistic Financial Benchmark for Large Language Models.
CoRR, 2024

Dólares or Dollars? Unraveling the Bilingual Prowess of Financial LLMs Between Spanish and English.
CoRR, 2024

2023
Graph-Tensor Neural Networks for Network Traffic Data Imputation.
IEEE/ACM Trans. Netw., December, 2023

High-Performance Tensor Learning Primitives Using GPU Tensor Cores.
IEEE Trans. Computers, June, 2023

High Performance Hierarchical Tucker Tensor Learning Using GPU Tensor Cores.
IEEE Trans. Computers, February, 2023

Differentially Private Low-Rank Adaptation of Large Language Model Using Federated Learning.
CoRR, 2023

Deficiency of Large Language Models in Finance: An Empirical Examination of Hallucination.
CoRR, 2023

FinGPT: Democratizing Internet-scale Data for Financial Large Language Models.
CoRR, 2023

Instruct-FinGPT: Financial Sentiment Analysis by Instruction Tuning of General-Purpose Large Language Models.
CoRR, 2023

FinGPT: Open-Source Financial Large Language Models.
CoRR, 2023

Dynamic Datasets and Market Environments for Financial Reinforcement Learning.
CoRR, 2023

Deep Reinforcement Learning for Traffic Light Control in Intelligent Transportation Systems.
CoRR, 2023

Classical Simulation of Quantum Circuits: Parallel Environments and Benchmark.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Enhancing Financial Sentiment Analysis via Retrieval Augmented Large Language Models.
Proceedings of the 4th ACM International Conference on AI in Finance, 2023

Downlink Beamforming Optimization via Deep Learning.
Proceedings of the 59th Annual Allerton Conference on Communication, 2023

2022
Codee: A Tensor Embedding Scheme for Binary Code Search.
IEEE Trans. Software Eng., 2022

Graph Spectral Regularized Tensor Completion for Traffic Data Imputation.
IEEE Trans. Intell. Transp. Syst., 2022

Recommendations in Smart Devices Using Federated Tensor Learning.
IEEE Internet Things J., 2022

Deep Reinforcement Learning for Cryptocurrency Trading: Practical Approach to Address Backtest Overfitting.
CoRR, 2022

FinRL-Meta: Market Environments and Benchmarks for Data-Driven Financial Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Homomorphic Matrix Completion.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

High Performance Single-Site Finite DMRG on GPUs.
Proceedings of the CAIBDA 2022, 2022

2021
Interpretable Generative Adversarial Networks With Exponential Function.
IEEE Trans. Signal Process., 2021

Real-Time Indoor Localization for Smartphones Using Tensor-Generative Adversarial Nets.
IEEE Trans. Neural Networks Learn. Syst., 2021

Deep Shearlet Residual Learning Network for Single Image Super-Resolution.
IEEE Trans. Image Process., 2021

Single Image Cloud Removal Using U-Net and Generative Adversarial Networks.
IEEE Trans. Geosci. Remote. Sens., 2021

Joint Multitarget Detection and Tracking in Multipath Environment Using Expectation Maximization Algorithm.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Evaluating the Performance of Hyperspectral Leaf Reflectance to Detect Water Stress and Estimation of Photosynthetic Capacities.
Remote. Sens., 2021

High performance GPU primitives for graph-tensor learning operations.
J. Parallel Distributed Comput., 2021

FinRL-Meta: A Universe of Near-Real Market Environments for Data-Driven Deep Reinforcement Learning in Quantitative Finance.
CoRR, 2021

ElegantRL-Podracer: Scalable and Elastic Library for Cloud-Native Deep Reinforcement Learning.
CoRR, 2021

Convolutional Graph-Tensor Net for Graph Data Completion.
CoRR, 2021

Quantum Tensor Network in Machine Learning: An Application to Tiny Object Classification.
CoRR, 2021

Domain-Specific Sentence Encoder for Intention Recognition in Large-Scale Shopping Platforms.
Proceedings of the Knowledge Science, Engineering and Management, 2021

FinRL: deep reinforcement learning framework to automate trading in quantitative finance.
Proceedings of the ICAIF'21: 2nd ACM International Conference on AI in Finance, Virtual Event, November 3, 2021

FinRL-podracer: high performance and scalable deep reinforcement learning for quantitative finance.
Proceedings of the ICAIF'21: 2nd ACM International Conference on AI in Finance, Virtual Event, November 3, 2021

Explainable deep reinforcement learning for portfolio management: an empirical approach.
Proceedings of the ICAIF'21: 2nd ACM International Conference on AI in Finance, Virtual Event, November 3, 2021

Towards Extremely Compact RNNs for Video Recognition With Fully Decomposed Hierarchical Tucker Structure.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Spatiotemporal Graph Neural Network based Mask Reconstruction for Video Object Segmentation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
cuTensor-Tubal: Efficient Primitives for Tubal-Rank Tensor Learning Operations on GPUs.
IEEE Trans. Parallel Distributed Syst., 2020

High Performance GPU Tensor Completion With Tubal-Sampling Pattern.
IEEE Trans. Parallel Distributed Syst., 2020

Network Latency Estimation With Leverage Sampling for Personal Devices: An Adaptive Tensor Completion Approach.
IEEE/ACM Trans. Netw., 2020

Energy Efficiency in Multihop Wireless Networks with Unreliable Links.
IEEE Trans. Netw. Sci. Eng., 2020

Low-Tubal-Rank Tensor Completion Using Alternating Minimization.
IEEE Trans. Inf. Theory, 2020

Shearlet Enhanced Snapshot Compressive Imaging.
IEEE Trans. Image Process., 2020

Federated Tensor Mining for Secure Industrial Internet of Things.
IEEE Trans. Ind. Informatics, 2020

Secure Tensor Decomposition for Heterogeneous Multimedia Data in Cloud Computing.
IEEE Trans. Comput. Soc. Syst., 2020

Dynamic Updating of the Knowledge Base for a Large-Scale Question Answering System.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2020

ANIMC: A Soft Framework for Auto-weighted Noisy and Incomplete Multi-view Clustering.
CoRR, 2020

Unbalanced Incomplete Multi-view Clustering via the Scheme of View Evolution: Weak Views are Meat; Strong Views do Eat.
CoRR, 2020

FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance.
CoRR, 2020

Compressing Recurrent Neural Networks Using Hierarchical Tucker Tensor Decomposition.
CoRR, 2020

High-Performance Homomorphic Matrix Completion on Multiple GPUs.
IEEE Access, 2020

Large-scale Causal Approaches to Debiasing Post-click Conversion Rate Estimation with Multi-task Learning.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

GMCM: Graph-based Micro-behavior Conversion Model for Post-click Conversion Rate Estimation.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Video Synthesis via Transform-Based Tensor Neural Network.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Jointly Cross- and Self-Modal Graph Attention Network for Query-Based Moment Localization.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Secure Smart Home Systems: A Blockchain Perspective.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020

Generating Robust Audio Adversarial Examples with Temporal Dependency.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Deep reinforcement learning for automated stock trading: an ensemble strategy.
Proceedings of the ICAIF '20: The First ACM International Conference on AI in Finance, 2020

Quantifying ESG alpha using scholar big data: an automated machine learning approach.
Proceedings of the ICAIF '20: The First ACM International Conference on AI in Finance, 2020

Cloud-based Livestock Monitoring System Using RFID and Blockchain Technology.
Proceedings of the 7th IEEE International Conference on Cyber Security and Cloud Computing, 2020

Tensor FISTA-Net for Real-Time Snapshot Compressive Imaging.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Optimal Rate Control for Energy-Harvesting Systems with Random Data and Energy Arrivals.
ACM Trans. Sens. Networks, 2019

Energy-Efficient and Robust Tensor-Encoder for Wireless Camera Networks in Internet of Things.
IEEE Trans. Netw. Sci. Eng., 2019

Hierarchical Cooperation Improves Delay in Cognitive Radio Networks with Heterogeneous Mobile Secondary Nodes.
IEEE Trans. Mob. Comput., 2019

Energy Efficiency of Secure Cognitive Radio Networks with Cooperative Spectrum Sharing.
IEEE Trans. Mob. Comput., 2019

An Online Ride-Sharing Path-Planning Strategy for Public Vehicle Systems.
IEEE Trans. Intell. Transp. Syst., 2019

Wormhole: The Hidden Virus Propagation Power of the Search Engine in Social Networks.
IEEE Trans. Dependable Secur. Comput., 2019

Hybrid Overlay-Underlay Cognitive Radio Networks With Energy Harvesting.
IEEE Trans. Commun., 2019

An Adaptive Sampling Scheme via Approximate Volume Sampling for Fingerprint-Based Indoor Localization.
IEEE Internet Things J., 2019

Search engine: The social relationship driving power of Internet of Things.
Future Gener. Comput. Syst., 2019

DP-LSTM: Differential Privacy-inspired LSTM for Stock Prediction Using Financial News.
CoRR, 2019

Spatial Influence-aware Reinforcement Learning for Intelligent Transportation System.
CoRR, 2019

A Causal Perspective to Unbiased Conversion Rate Estimation on Data Missing Not at Random.
CoRR, 2019

Risk Management via Anomaly Circumvent: Mnemonic Deep Learning for Midterm Stock Prediction.
CoRR, 2019

Multi-Agent Deep Reinforcement Learning for Liquidation Strategy Analysis.
CoRR, 2019

Deep Reinforcement Learning for Unmanned Aerial Vehicle-Assisted Vehicular Networks.
CoRR, 2019

TGAN: Deep Tensor Generative Adversarial Nets for Large Image Generation.
CoRR, 2019

Price Prediction of Cryptocurrency: An Empirical Study.
Proceedings of the Smart Blockchain - Second International Conference, 2019

A C++ Library for Tensor Decomposition.
Proceedings of the 38th IEEE International Performance Computing and Communications Conference, 2019

Tensor Super-Resolution with Generative Adversarial Nets: A Large Image Generation Approach.
Proceedings of the Human Brain and Artificial Intelligence - First International Workshop, 2019

Deep Tensor ADMM-Net for Snapshot Compressive Imaging.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

High-performance Hardware Architecture for Tensor Singular Value Decomposition: Invited Paper.
Proceedings of the International Conference on Computer-Aided Design, 2019

Cutensor-tubal: Optimized GPU Library for Low-tubal-rank Tensors.
Proceedings of the IEEE International Conference on Acoustics, 2019

Tensor Super-resolution for Seismic Data.
Proceedings of the IEEE International Conference on Acoustics, 2019

High-Performance Homomorphic Matrix Completion on GPUs.
Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

High-Performance Tensor Decoder on GPUs for Wireless Camera Networks in IoT.
Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

Practical Machine Learning Approach to Capture the Scholar Data Driven Alpha in AI Industry.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Interest-Aware Information Diffusion in Evolving Social Networks.
IEEE Trans. Wirel. Commun., 2018

Joint Transportation and Charging Scheduling in Public Vehicle Systems - A Game Theoretic Approach.
IEEE Trans. Intell. Transp. Syst., 2018

LS-Decomposition for Robust Recovery of Sensory Big Data.
IEEE Trans. Big Data, 2018

Deep Reinforcement Learning for Intelligent Transportation Systems.
CoRR, 2018

Practical Deep Reinforcement Learning Approach for Stock Trading.
CoRR, 2018

Transform-Based Multilinear Dynamical System for Tensor Time Series Analysis.
CoRR, 2018

Information Scaling Law of Deep Neural Networks.
CoRR, 2018

Towards Secure and Energy-Efficient CRNs Via Embracing Interference: A Stochastic Geometry Approach.
IEEE Access, 2018

Spectrum Trading for Energy-Harvesting-Enabled Internet of Things in Harsh Environments.
IEEE Access, 2018

Differentially Private Matrix Completion via Distributed Matrix Factorization.
Proceedings of the 17th IEEE International Conference On Trust, 2018

A Practical Machine Learning Approach for Dynamic Stock Recommendation.
Proceedings of the 17th IEEE International Conference On Trust, 2018

Tensor Sensing for Rf Tomographic Imaging.
Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

Tensor-Generative Adversarial Network with Two-Dimensional Sparse Coding: Application to Real-Time Indoor Localization.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

Tensor Subspace Detection with Tubal-Sampling and Elementwise-Sampling.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Anisotropic Total Variation Regularized Low-Rank Tensor Completion Based On Tensor Nuclear Norm for Color Image Inpainting.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Efficient Multi-Dimensional Tensor Sparse Coding Using t-Linear Combination.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
On the Greedy Resource Occupancy Threat in Dynamic Spectrum Access.
IEEE Trans. Veh. Technol., 2017

Information-Centric Networks With Correlated Mobility.
IEEE Trans. Veh. Technol., 2017

Joint adaptation framework in mobile ad hoc networks: A control theory perspective.
Neurocomputing, 2017

Abdominal adipose tissues extraction using multi-scale deep neural network.
Neurocomputing, 2017

Evolutionary virus immune strategy for temporal networks based on community vitality.
Future Gener. Comput. Syst., 2017

Multidimensional Data Tensor Sensing for RF Tomographic Imaging.
CoRR, 2017

Tensor Matched Subspace Detection.
CoRR, 2017

3D seismic data denoising using two-dimensional sparse coding scheme.
CoRR, 2017

Exact 3D seismic data reconstruction using Tubal-Alt-Min algorithm.
CoRR, 2017

Fourth-order Tensors with Multidimensional Discrete Transforms.
CoRR, 2017

Efficient Two-Dimensional Sparse Coding Using Tensor-Linear Combination.
CoRR, 2017

Virtualization of the Encryption Card for Trust Access in Cloud Computing.
IEEE Access, 2017

Data Backlog Analysis in Energy Harvesting Communication Systems.
IEEE Access, 2017

Evolving K-Graph: Modeling Hybrid Interactions in Networks.
Proceedings of the 18th ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2017

Graph regularized tensor sparse coding for image representation.
Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

Advanced Fully Homomorphic Encryption Scheme Over Real Numbers.
Proceedings of the 4th IEEE International Conference on Cyber Security and Cloud Computing, 2017

Search engine drives the evolution of social networks.
Proceedings of the ACM Turing 50th Celebration Conference, 2017

2016
Adaptive Sampling of RF Fingerprints for Fine-Grained Indoor Localization.
IEEE Trans. Mob. Comput., 2016

Public Vehicles for Future Urban Transportation.
IEEE Trans. Intell. Transp. Syst., 2016

Transfer Problem in a Cloud-based Public Vehicle System with Sustainable Discomfort.
Mob. Networks Appl., 2016

ICP: Instantaneous clustering protocol for wireless sensor networks.
Comput. Networks, 2016

Traffic big data based path planning strategy in public vehicle systems.
Proceedings of the 24th IEEE/ACM International Symposium on Quality of Service, 2016

Drone-Based Wireless Relay Using Online Tensor Update.
Proceedings of the 22nd IEEE International Conference on Parallel and Distributed Systems, 2016

EHR: Routing Protocol for Energy Harvesting Wireless Sensor Networks.
Proceedings of the 22nd IEEE International Conference on Parallel and Distributed Systems, 2016

Tensor completion via adaptive sampling of tensor fibers: Application to efficient indoor RF fingerprinting.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
CDC: Compressive Data Collection for Wireless Sensor Networks.
IEEE Trans. Parallel Distributed Syst., 2015

An LS-Decomposition Approach for Robust Data Recovery in Wireless Sensor Networks.
CoRR, 2015

Fine-grained Indoor Localization with Adaptively Sampled RF Fingerprints.
CoRR, 2015

Resource-Efficient Data Gathering in Sensor Networks for Environment Reconstruction.
Comput. J., 2015

Privacy-Preserving Compressive Sensing for Crowdsensing Based Trajectory Recovery.
Proceedings of the 35th IEEE International Conference on Distributed Computing Systems, 2015

A Public Vehicle System with Multiple Origin-Destination Pairs on Traffic Networks.
Proceedings of the 2015 IEEE Global Communications Conference, 2015

Search Engine: A Hidden Power for Virus Propagation in Community Networks.
Proceedings of the IEEE 2nd International Conference on Cyber Security and Cloud Computing, 2015

2014
Surface Coverage in Sensor Networks.
IEEE Trans. Parallel Distributed Syst., 2014

Data Loss and Reconstruction in Wireless Sensor Networks.
IEEE Trans. Parallel Distributed Syst., 2014

The charging-scheduling problem for electric vehicle networks.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2014

Multi-attribute compressive data gathering.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2014

2013
Mobility increases the surface coverage of distributed sensor networks.
Comput. Networks, 2013

JSSDR: Joint-Sparse Sensory Data Recovery in wireless sensor networks.
Proceedings of the 9th IEEE International Conference on Wireless and Mobile Computing, 2013

Traffic Aware Routing in urban vehicular networks.
Proceedings of the 2013 IEEE Wireless Communications and Networking Conference (WCNC), 2013

Data loss and reconstruction in sensor networks.
Proceedings of the IEEE INFOCOM 2013, Turin, Italy, April 14-19, 2013, 2013

Multiple attributes-based data recovery in wireless sensor networks.
Proceedings of the 2013 IEEE Global Communications Conference, 2013

2011
A Projection Pursuit Based Risk Assessment Method in Mobile Ad hoc Networks.
Int. J. Comput. Intell. Syst., 2011

2005
The key problem study of the intelligent decision for remote image classification supported by GIS.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2005


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