Xiao-Yang Liu

About Xiao-Yang Liu

Xiao-Yang Liu, With an exceptional h-index of 33 and a recent h-index of 30 (since 2020), a distinguished researcher at Columbia University in the City of New York, specializes in the field of Tensor, Deep Learning, Reinforcement Learning, Big Data.

His recent articles reflect a diverse array of research interests and contributions to the field:

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

Dynamic Datasets and Market Environments for Financial Reinforcement Learning

A Curriculum Learning Approach to Optimization with Application to Downlink Beamforming

Enhancing financial sentiment analysis via retrieval augmented large language models

Classical Simulation of Quantum Circuits: Parallel Environments and Benchmark

Communication-efficient federated learning for resource-constrained edge devices

FinGPT: Democratizing internet-scale data for financial large language models

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

Xiao-Yang Liu Information

University

Position

___

Citations(all)

4318

Citations(since 2020)

3389

Cited By

2017

hIndex(all)

33

hIndex(since 2020)

30

i10Index(all)

85

i10Index(since 2020)

78

Email

University Profile Page

Google Scholar

Xiao-Yang Liu Skills & Research Interests

Tensor

Deep Learning

Reinforcement Learning

Big Data

Top articles of Xiao-Yang Liu

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

arXiv preprint arXiv:2402.13533

2024/2/21

Xiao-Yang Liu
Xiao-Yang Liu

H-Index: 21

Jie Zhang
Jie Zhang

H-Index: 10

Dynamic Datasets and Market Environments for Financial Reinforcement Learning

Machine Learning Journal, Springer Nature

2023/12/15

A Curriculum Learning Approach to Optimization with Application to Downlink Beamforming

IEEE Transactions on Signal Processing

2023/12/7

Enhancing financial sentiment analysis via retrieval augmented large language models

2023/11/27

Classical Simulation of Quantum Circuits: Parallel Environments and Benchmark

2023/11/2

Xiao-Yang Liu
Xiao-Yang Liu

H-Index: 21

Communication-efficient federated learning for resource-constrained edge devices

IEEE Transactions on Machine Learning in Communications and Networking

2023/8/29

Xiao-Yang Liu
Xiao-Yang Liu

H-Index: 21

Xiaodong Wang
Xiaodong Wang

H-Index: 6

FinGPT: Democratizing internet-scale data for financial large language models

Workshop on Instruction Tuning and Instruction Following, NeurIPS 2023

2023/7/19

Xiao-Yang Liu
Xiao-Yang Liu

H-Index: 21

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

FinLLM at IJCAI

2023/6/22

Boyu Zhang
Boyu Zhang

H-Index: 5

Xiao-Yang Liu
Xiao-Yang Liu

H-Index: 21

FinGPT: Open-Source Financial Large Language Models

FinLLM at IJCAI

2023/6/9

Xiao-Yang Liu
Xiao-Yang Liu

H-Index: 21

Real-Time Decoding of Snapshot Compressive Imaging Using Tensor FISTA-Net

IEEE Transactions on Neural Networks and Learning Systems

2023/6/2

Graph-Tensor Neural Networks for Network Traffic Data Imputation

IEEE/ACM Transactions on Networking

2023/5/15

Stationary Deep Reinforcement Learning with Quantum K-spin Hamiltonian Regularization

2023/3/3

Xiao-Yang Liu
Xiao-Yang Liu

H-Index: 21

Xiaodong Wang
Xiaodong Wang

H-Index: 6

High-Performance Tensor Learning Primitives Using GPU Tensor Cores

IEEE Transactions on Computers

2022/12/15

Deep reinforcement learning for cryptocurrency trading: Practical approach to address backtest overfitting

arXiv preprint arXiv:2209.05559

2022/9/12

Xiao-Yang Liu
Xiao-Yang Liu

H-Index: 21

Jiechao Gao
Jiechao Gao

H-Index: 4

High Performance Hierarchical Tucker Tensor Learning Using GPU Tensor Cores

IEEE Transactions on Computers

2022/5/10

High-performance tensor decompositions for compressing and accelerating deep neural networks

2022/1/1

Xiao-Yang Liu
Xiao-Yang Liu

H-Index: 21

Liuqing Yang
Liuqing Yang

H-Index: 40

Homomorphic matrix completion

Neural Information Processing Systems (NeurIPS)

2022

Xiao-Yang Liu
Xiao-Yang Liu

H-Index: 21

Xiaodong Wang
Xiaodong Wang

H-Index: 6

FinRL-Meta: Market Environments and Benchmarks for Data-Driven Financial Reinforcement Learning

Neural Information Processing Systems (NeurIPS)

2022

Joint Multitarget Detection and Tracking in Multipath Environment Using Expectation Maximization Algorithm

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

2021/9/30

Domain-Specific Sentence Encoder for Intention Recognition in Large-Scale Shopping Platforms

2021/8/14

See List of Professors in Xiao-Yang Liu University(Columbia University in the City of New York)

Co-Authors

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