Xiao-Yang Liu

According to our database, Xiao-Yang Liu authored at least 159 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

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

Xiao-Yang Liu, Qifan Huang, Xiaochen Han, Bo Wu, Linghe Kong, Anwar Walid, Xiaodong Wang

IEEE Trans. Neural Networks Learn. Syst., October, 2024

Dynamic datasets and market environments for financial reinforcement learning.

Xiao-Yang Liu, Ziyi Xia, Hongyang Yang, Jiechao Gao, Daochen Zha, Ming Zhu, Christina Dan Wang, Zhaoran Wang, Jian Guo

Mach. Learn., May, 2024

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design.

Dannong Wang, Jintai Chen, Zhiding Liang, Tianfan Fu, Xiao-Yang Liu

CoRR, 2024

Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications.

Qianqian Xie, Dong Li, Mengxi Xiao, Zihao Jiang, Ruoyu Xiang, Xiao Zhang, Zhengyu Chen, Yueru He, Weiguang Han, Yuzhe Yang, Shunian Chen, Yifei Zhang, Lihang Shen, Daniel S. Kim, Zhiwei Liu, Zheheng Luo, Yangyang Yu, Yupeng Cao, Zhiyang Deng, Zhiyuan Yao, Haohang Li, Duanyu Feng, Yongfu Dai, VijayaSai Somasundaram, Peng Lu, Yilun Zhao, Yitao Long, Guojun Xiong, Kaleb Smith, Honghai Yu, Yanzhao Lai, Min Peng, Jianyun Nie, Jordan W. Suchow, Xiao-Yang Liu, Benyou Wang, Alejandro Lopez-Lira, Jimin Huang, Sophia Ananiadou

CoRR, 2024

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

Matt White, Ibrahim Haddad, Cailean Osborne, Xiao-Yang Liu, Ahmed Abdelmonsef, Sachin Varghese

CoRR, 2024

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

Xiao-Yang Liu, Jie Zhang, Guoxuan Wang, Weiqing Tong, Anwar Walid

CoRR, 2024

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

Qianqian Xie, Weiguang Han, Zhengyu Chen, Ruoyu Xiang, Xiao Zhang, Yueru He, Mengxi Xiao, Dong Li, Yongfu Dai, Duanyu Feng, Yijing Xu, Haoqiang Kang, Ziyan Kuang, Chenhan Yuan, Kailai Yang, Zheheng Luo, Tianlin Zhang, Zhiwei Liu, Guojun Xiong, Zhiyang Deng, Yuechen Jiang, Zhiyuan Yao, Haohang Li, Yangyang Yu, Gang Hu, Jiajia Huang, Xiao-Yang Liu, Alejandro Lopez-Lira, Benyou Wang, Yanzhao Lai, Hao Wang, Min Peng, Sophia Ananiadou, Jimin Huang

CoRR, 2024

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

Xiao Zhang, Ruoyu Xiang, Chenhan Yuan, Duanyu Feng, Weiguang Han, Alejandro Lopez-Lira, Xiao-Yang Liu, Sophia Ananiadou, Min Peng, Jimin Huang, Qianqian Xie

CoRR, 2024

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

Xiao Zhang, Ruoyu Xiang, Chenhan Yuan, Duanyu Feng, Weiguang Han, Alejandro Lopez-Lira, Xiao-Yang Liu, Meikang Qiu, Sophia Ananiadou, Min Peng, Jimin Huang, Qianqian Xie

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

High-Performance Spectral Tensor Layer for Deep Neural Network.

Jie Zhang, Weiqing Tong, Xiao-Yang Liu

Proceedings of the 10th IEEE International Conference on Intelligent Data and Security, 2024

Efficient Pretraining and Finetuning of Quantized LLMs with Low-Rank Structure.

Xiao-Yang Liu, Jie Zhang, Guoxuan Wang, Weiqin Tong, Anwar Walid

Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024

Customized FinGPT Search Agents Using Foundation Models.

Felix Tian, Ajay Byadgi, Daniel S. Kim, Daochen Zha, Matt White, Kairong Xiao, Xiao-Yang Liu

Proceedings of the 5th ACM International Conference on AI in Finance, 2024

Analyzing Cascading Outbreak of GameStop Event: A Practical Approach Using Network Analysis and Large Language Models.

Shengyuan Lin, Keyi Wang, Xiao-Yang Liu

Proceedings of the 5th ACM International Conference on AI in Finance, 2024

XBRL Agent: Leveraging Large Language Models for Financial Report Analysis.

Shijie Han, Haoqiang Kang, Bo Jin, Xiao-Yang Liu, Steve Y. Yang

Proceedings of the 5th ACM International Conference on AI in Finance, 2024

2023

Graph-Tensor Neural Networks for Network Traffic Data Imputation.

Lei Deng, Xiao-Yang Liu, Haifeng Zheng, Xinxin Feng, Zhizhang Chen

IEEE/ACM Trans. Netw., December, 2023

High-Performance Tensor Learning Primitives Using GPU Tensor Cores.

Xiao-Yang Liu, Zeliang Zhang, Zhiyuan Wang, Han Lu, Xiaodong Wang, Anwar Walid

IEEE Trans. Computers, June, 2023

High Performance Hierarchical Tucker Tensor Learning Using GPU Tensor Cores.

Hao Huang, Xiao-Yang Liu, Weiqin Tong, Tao Zhang, Anwar Walid, Xiaodong Wang

IEEE Trans. Computers, February, 2023

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

Xiao-Yang Liu, Rongyi Zhu, Daochen Zha, Jiechao Gao, Shan Zhong, Meikang Qiu

CoRR, 2023

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

Haoqiang Kang, Xiao-Yang Liu

CoRR, 2023

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

Xiao-Yang Liu, Guoxuan Wang, Daochen Zha

CoRR, 2023

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

Boyu Zhang, Hongyang Yang, Xiao-Yang Liu

CoRR, 2023

FinGPT: Open-Source Financial Large Language Models.

Hongyang Yang, Xiao-Yang Liu, Christina Dan Wang

CoRR, 2023

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

Xiao-Yang Liu, Ming Zhu, Sem C. Borst, Anwar Walid

CoRR, 2023

Classical Simulation of Quantum Circuits: Parallel Environments and Benchmark.

Xiao-Yang Liu, Zeliang Zhang

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.

Boyu Zhang, Hongyang Yang, Tianyu Zhou, Ali Babar, Xiao-Yang Liu

Proceedings of the 4th ACM International Conference on AI in Finance, 2023

Downlink Beamforming Optimization via Deep Learning.

Jeremy Johnston, Xiao-Yang Liu, Shixun Wu, Xiaodong Wang

Proceedings of the 59th Annual Allerton Conference on Communication, 2023

2022

Codee: A Tensor Embedding Scheme for Binary Code Search.

Jia Yang, Cai Fu, Xiao-Yang Liu, Heng Yin, Pan Zhou

IEEE Trans. Software Eng., 2022

Graph Spectral Regularized Tensor Completion for Traffic Data Imputation.

Lei Deng, Xiao-Yang Liu, Haifeng Zheng, Xinxin Feng, Youjia Chen

IEEE Trans. Intell. Transp. Syst., 2022

Recommendations in Smart Devices Using Federated Tensor Learning.

Jia Yang, Cai Fu, Xiao-Yang Liu, Anwar Walid

IEEE Internet Things J., 2022

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

Berend Jelmer Dirk Gort, Xiao-Yang Liu, Xinghang Sun, Jiechao Gao, Shuaiyu Chen, Christina Dan Wang

CoRR, 2022

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

Xiao-Yang Liu, Ziyi Xia, Jingyang Rui, Jiechao Gao, Hongyang Yang, Ming Zhu, Christina Dan Wang, Zhaoran Wang, Jian Guo

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

Homomorphic Matrix Completion.

Xiao-Yang Liu, Zechu (Steven) Li, Xiaodong Wang

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.

Hao Hong, Weiqin Tong, Xiaoping Liu, Tao Zhang, Xiao-Yang Liu

Proceedings of the CAIBDA 2022, 2022

2021

Interpretable Generative Adversarial Networks With Exponential Function.

Rui She, Pingyi Fan, Xiao-Yang Liu, Xiaodong Wang

IEEE Trans. Signal Process., 2021

Real-Time Indoor Localization for Smartphones Using Tensor-Generative Adversarial Nets.

Xiao-Yang Liu, Xiaodong Wang

IEEE Trans. Neural Networks Learn. Syst., 2021

Deep Shearlet Residual Learning Network for Single Image Super-Resolution.

Tianyu Geng, Xiao-Yang Liu, Xiaodong Wang, Guiling Sun

IEEE Trans. Image Process., 2021

Single Image Cloud Removal Using U-Net and Generative Adversarial Networks.

Jiahao Zheng, Xiao-Yang Liu, Xiaodong Wang

IEEE Trans. Geosci. Remote. Sens., 2021

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

Zhihua Li, Hongtao Su, Xiao-Yang Liu, Guoqing Wang, Mengdao Xing

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.

Jing-Jing Zhou, Ya-Hao Zhang, Ze-Min Han, Xiao-Yang Liu, Yong-Feng Jian, Chun-Gen Hu, Yuanyong Dian

Remote. Sens., 2021

High performance GPU primitives for graph-tensor learning operations.

Tao Zhang, Wang Kan, Xiao-Yang Liu

J. Parallel Distributed Comput., 2021

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

Xiao-Yang Liu, Jingyang Rui, Jiechao Gao, Liuqing Yang, Hongyang Yang, Zhaoran Wang, Christina Dan Wang, Jian Guo

CoRR, 2021

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

Xiao-Yang Liu, Zechu Li, Zhuoran Yang, Jiahao Zheng, Zhaoran Wang, Anwar Walid, Jian Guo, Michael I. Jordan

CoRR, 2021

Convolutional Graph-Tensor Net for Graph Data Completion.

Xiao-Yang Liu, Ming Zhu

CoRR, 2021

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

Fanjie Kong, Xiao-Yang Liu, Ricardo Henao

CoRR, 2021

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

Chong Zhang, Zhiyuan Wang, Liuqing Yang, Xiao-Yang Liu, Ling Jiang

Proceedings of the Knowledge Science, Engineering and Management, 2021

FinRL: deep reinforcement learning framework to automate trading in quantitative finance.

Xiao-Yang Liu, Hongyang Yang, Jiechao Gao, Christina Dan Wang

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.

Zechu Li, Xiao-Yang Liu, Jiahao Zheng, Zhaoran Wang, Anwar Walid, Jian Guo

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.

Mao Guan, Xiao-Yang Liu

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.

Miao Yin, Siyu Liao, Xiao-Yang Liu, Xiaodong Wang, Bo Yuan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Spatiotemporal Graph Neural Network based Mask Reconstruction for Video Object Segmentation.

Daizong Liu, Shuangjie Xu, Xiao-Yang Liu, Zichuan Xu, Wei Wei, Pan Zhou

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

cuTensor-Tubal: Efficient Primitives for Tubal-Rank Tensor Learning Operations on GPUs.

Tao Zhang, Xiao-Yang Liu, Xiaodong Wang, Anwar Walid

IEEE Trans. Parallel Distributed Syst., 2020

High Performance GPU Tensor Completion With Tubal-Sampling Pattern.

Tao Zhang, Xiao-Yang Liu, Xiaodong Wang

IEEE Trans. Parallel Distributed Syst., 2020

Network Latency Estimation With Leverage Sampling for Personal Devices: An Adaptive Tensor Completion Approach.

Lei Deng, Haifeng Zheng, Xiao-Yang Liu, Xinxin Feng, Zhizhang (David) Chen

IEEE/ACM Trans. Netw., 2020

Energy Efficiency in Multihop Wireless Networks with Unreliable Links.

Kechen Zheng, Xiao-Yang Liu, Luoyi Fu, Xinbing Wang, Yihua Zhu

IEEE Trans. Netw. Sci. Eng., 2020

Low-Tubal-Rank Tensor Completion Using Alternating Minimization.

Xiao-Yang Liu, Shuchin Aeron, Vaneet Aggarwal, Xiaodong Wang

IEEE Trans. Inf. Theory, 2020

Shearlet Enhanced Snapshot Compressive Imaging.

Peihao Yang, Linghe Kong, Xiao-Yang Liu, Xin Yuan, Guihai Chen

IEEE Trans. Image Process., 2020

Federated Tensor Mining for Secure Industrial Internet of Things.

Linghe Kong, Xiao-Yang Liu, Hao Sheng, Peng Zeng, Guihai Chen

IEEE Trans. Ind. Informatics, 2020

Secure Tensor Decomposition for Heterogeneous Multimedia Data in Cloud Computing.

Cai Fu, Zhao Yang, Xiao-Yang Liu, Jia Yang, Anwar Walid, Laurence T. Yang

IEEE Trans. Comput. Soc. Syst., 2020

Dynamic Updating of the Knowledge Base for a Large-Scale Question Answering System.

Xiao-Yang Liu, Yimeng Zhang, Yukang Liao, Ling Jiang

ACM Trans. Asian Low Resour. Lang. Inf. Process., 2020

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

Xiang Fang, Yuchong Hu, Pan Zhou, Xiao-Yang Liu, Dapeng Oliver Wu

CoRR, 2020

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

Xiang Fang, Yuchong Hu, Pan Zhou, Xiao-Yang Liu, Dapeng Oliver Wu

CoRR, 2020

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

Xiao-Yang Liu, Hongyang Yang, Qian Chen, Runjia Zhang, Liuqing Yang, Bowen Xiao, Christina Dan Wang

CoRR, 2020

Compressing Recurrent Neural Networks Using Hierarchical Tucker Tensor Decomposition.

Miao Yin, Siyu Liao, Xiao-Yang Liu, Xiaodong Wang, Bo Yuan

CoRR, 2020

High-Performance Homomorphic Matrix Completion on Multiple GPUs.

Tao Zhang, Han Lu, Xiao-Yang Liu

IEEE Access, 2020

Large-scale Causal Approaches to Debiasing Post-click Conversion Rate Estimation with Multi-task Learning.

Wenhao Zhang, Wentian Bao, Xiao-Yang Liu, Keping Yang, Quan Lin, Hong Wen, Ramin Ramezani

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.

Wentian Bao, Hong Wen, Sha Li, Xiao-Yang Liu, Quan Lin, Keping Yang

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Video Synthesis via Transform-Based Tensor Neural Network.

Yimeng Zhang, Xiao-Yang Liu, Bo Wu, Anwar Walid

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.

Daizong Liu, Xiaoye Qu, Xiao-Yang Liu, Jianfeng Dong, Pan Zhou, Zichuan Xu

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Secure Smart Home Systems: A Blockchain Perspective.

Liuqing Yang, Xiao-Yang Liu, Wenbo Gong

Proceedings of the 39th IEEE Conference on Computer Communications, 2020

Generating Robust Audio Adversarial Examples with Temporal Dependency.

Hongting Zhang, Pan Zhou, Qiben Yan, Xiao-Yang Liu

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Deep reinforcement learning for automated stock trading: an ensemble strategy.

Hongyang Yang, Xiao-Yang Liu, Shan Zhong, Anwar Walid

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.

Qian Chen, Xiao-Yang Liu

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.

Liuqing Yang, Xiao-Yang Liu, Jeong Soo Kim

Proceedings of the 7th IEEE International Conference on Cyber Security and Cloud Computing, 2020

Tensor FISTA-Net for Real-Time Snapshot Compressive Imaging.

Xiaochen Han, Bo Wu, Zheng Shou, Xiao-Yang Liu, Yimeng Zhang, Linghe Kong

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.

Riheng Jia, Jinbei Zhang, Xiao-Yang Liu, Peng Liu, Luoyi Fu, Xinbing Wang

ACM Trans. Sens. Networks, 2019

Energy-Efficient and Robust Tensor-Encoder for Wireless Camera Networks in Internet of Things.

Huaying Wu, Xiao-Yang Liu, Luoyi Fu, Xinbing Wang

IEEE Trans. Netw. Sci. Eng., 2019

Hierarchical Cooperation Improves Delay in Cognitive Radio Networks with Heterogeneous Mobile Secondary Nodes.

Xiaoying Liu, Kechen Zheng, Xiao-Yang Liu, Xinbing Wang, Yi-hua Zhu

IEEE Trans. Mob. Comput., 2019

Energy Efficiency of Secure Cognitive Radio Networks with Cooperative Spectrum Sharing.

Xiaoying Liu, Kechen Zheng, Luoyi Fu, Xiao-Yang Liu, Xinbing Wang, Guojun Dai

IEEE Trans. Mob. Comput., 2019

An Online Ride-Sharing Path-Planning Strategy for Public Vehicle Systems.

Ming Zhu, Xiao-Yang Liu, Xiaodong Wang

IEEE Trans. Intell. Transp. Syst., 2019

Wormhole: The Hidden Virus Propagation Power of the Search Engine in Social Networks.

Cai Fu, Xiao-Yang Liu, Jia Yang, Laurence T. Yang, Shui Yu, Tianqing Zhu

IEEE Trans. Dependable Secur. Comput., 2019

Hybrid Overlay-Underlay Cognitive Radio Networks With Energy Harvesting.

Kechen Zheng, Xiao-Yang Liu, Xiaoying Liu, Yihua Zhu

IEEE Trans. Commun., 2019

An Adaptive Sampling Scheme via Approximate Volume Sampling for Fingerprint-Based Indoor Localization.

Haifeng Zheng, Min Gao, Zhizhang Chen, Xiao-Yang Liu, Xinxin Feng

IEEE Internet Things J., 2019

Search engine: The social relationship driving power of Internet of Things.

Cai Fu, Chenchen Peng, Xiao-Yang Liu, Laurence T. Yang, Jia Yang, Lansheng Han

Future Gener. Comput. Syst., 2019

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

Xinyi Li, Yinchuan Li, Hongyang Yang, Liuqing Yang, Xiao-Yang Liu

CoRR, 2019

Spatial Influence-aware Reinforcement Learning for Intelligent Transportation System.

Wenhang Bao, Xiao-Yang Liu

CoRR, 2019

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

Wenhao Zhang, Wentian Bao, Xiao-Yang Liu, Keping Yang, Quan Lin, Hong Wen, Ramin Ramezani

CoRR, 2019

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

Xinyi Li, Yinchuan Li, Xiao-Yang Liu, Christina Dan Wang

CoRR, 2019

Multi-Agent Deep Reinforcement Learning for Liquidation Strategy Analysis.

Wenhang Bao, Xiao-Yang Liu

CoRR, 2019

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

Ming Zhu, Xiao-Yang Liu, Xiaodong Wang

CoRR, 2019

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

Zihan Ding, Xiao-Yang Liu, Miao Yin, Wei Liu, Linghe Kong

CoRR, 2019

Price Prediction of Cryptocurrency: An Empirical Study.

Liuqing Yang, Xiao-Yang Liu, Xinyi Li, Yinchuan Li

Proceedings of the Smart Blockchain - Second International Conference, 2019

A C++ Library for Tensor Decomposition.

Jiapeng Huang, Linghe Kong, Xiao-Yang Liu, Wenhao Qu, Guihai Chen

Proceedings of the 38th IEEE International Performance Computing and Communications Conference, 2019

Tensor Super-Resolution with Generative Adversarial Nets: A Large Image Generation Approach.

Zihan Ding, Xiao-Yang Liu, Miao Yin, Linghe Kong

Proceedings of the Human Brain and Artificial Intelligence - First International Workshop, 2019

Deep Tensor ADMM-Net for Snapshot Compressive Imaging.

Jiawei Ma, Xiao-Yang Liu, Zheng Shou, Xin Yuan

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

High-performance Hardware Architecture for Tensor Singular Value Decomposition: Invited Paper.

Chunhua Deng, Miao Yin, Xiao-Yang Liu, Xiaodong Wang, Bo Yuan

Proceedings of the International Conference on Computer-Aided Design, 2019

Cutensor-tubal: Optimized GPU Library for Low-tubal-rank Tensors.

Tao Zhang, Xiao-Yang Liu

Proceedings of the IEEE International Conference on Acoustics, 2019

Tensor Super-resolution for Seismic Data.

Songjie Liao, Xiao-Yang Liu, Feng Qian, Miao Yin, Guangmin Hu

Proceedings of the IEEE International Conference on Acoustics, 2019

High-Performance Homomorphic Matrix Completion on GPUs.

Han Lu, Tao Zhang, Xiao-Yang Liu

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.

Hai Li, Tao Zhang, Runjia Zhang, Xiao-Yang Liu

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.

Yunzhe Fang, Xiao-Yang Liu, Hongyang Yang

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Interest-Aware Information Diffusion in Evolving Social Networks.

Jiaqi Liu, Luoyi Fu, Zhe Liu, Xiao-Yang Liu, Xinbing Wang

IEEE Trans. Wirel. Commun., 2018

Joint Transportation and Charging Scheduling in Public Vehicle Systems - A Game Theoretic Approach.

Ming Zhu, Xiao-Yang Liu, Xiaodong Wang

IEEE Trans. Intell. Transp. Syst., 2018

LS-Decomposition for Robust Recovery of Sensory Big Data.

Xiao-Yang Liu, Xiaodong Wang

IEEE Trans. Big Data, 2018

Deep Reinforcement Learning for Intelligent Transportation Systems.

Xiao-Yang Liu, Zihan Ding, Sem C. Borst, Anwar Walid

CoRR, 2018

Practical Deep Reinforcement Learning Approach for Stock Trading.

Zhuoran Xiong, Xiao-Yang Liu, Shan Zhong, Hongyang Yang, Anwar Walid

CoRR, 2018

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

Weijun Lu, Xiao-Yang Liu, Qingwei Wu, Yue Sun, Anwar Walid

CoRR, 2018

Information Scaling Law of Deep Neural Networks.

Xiao-Yang Liu

CoRR, 2018

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

Xiaoying Liu, Kechen Zheng, Xiao-Yang Liu, Xinbing Wang, Guojun Dai

IEEE Access, 2018

Spectrum Trading for Energy-Harvesting-Enabled Internet of Things in Harsh Environments.

Changle Li, Yuchuan Fu, Zhe Liu, Xiao-Yang Liu, Weijie Wu, Lei Xiong

IEEE Access, 2018

Differentially Private Matrix Completion via Distributed Matrix Factorization.

Haotian Zhou, Xiao-Yang Liu, Cai Fu, Chen Shang, Xinyi Chang

Proceedings of the 17th IEEE International Conference On Trust, 2018

A Practical Machine Learning Approach for Dynamic Stock Recommendation.

Hongyang Yang, Xiao-Yang Liu, Qingwei Wu

Proceedings of the 17th IEEE International Conference On Trust, 2018

Tensor Sensing for Rf Tomographic Imaging.

Tao Deng, Feng Qian, Xiao-Yang Liu, Manyuan Zhang, Anwar Walid

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.

Chenxiao Zhu, Lingqing Xu, Xiao-Yang Liu, Feng Qian

Proceedings of the 2018 IEEE International Conference on Communications, 2018

Tensor Subspace Detection with Tubal-Sampling and Elementwise-Sampling.

Cuiping Li, Yue Sun, Xiao-Yang Liu, Ying Li

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.

Fei Jiang, Xiao-Yang Liu, Hongtao Lu, Ruimin Shen

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Efficient Multi-Dimensional Tensor Sparse Coding Using t-Linear Combination.

Fei Jiang, Xiao-Yang Liu, Hongtao Lu, Ruimin Shen

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

On the Greedy Resource Occupancy Threat in Dynamic Spectrum Access.

Songjun Ma, Xiao-Yang Liu, Luoyi Fu, Xiaohua Tian, Xiaoying Gan, Xinbing Wang

IEEE Trans. Veh. Technol., 2017

Information-Centric Networks With Correlated Mobility.

Xiaoying Liu, Kechen Zheng, Jun Zhao, Xiao-Yang Liu, Xinbing Wang, Xin Di

IEEE Trans. Veh. Technol., 2017

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

Linghe Kong, Bowen Wang, Xi Chen, Xue Liu, Xiao-Yang Liu, Jiadi Yu, Guangtao Xue, Guihai Chen

Neurocomputing, 2017

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

Fei Jiang, Huating Li, Xuhong Hou, Bin Sheng, Ruimin Shen, Xiao-Yang Liu, Weiping Jia, Ping Li, Ruogu Fang

Neurocomputing, 2017

Evolutionary virus immune strategy for temporal networks based on community vitality.

Min Li, Cai Fu, Xiao-Yang Liu, Jia Yang, Tianqing Zhu, Lansheng Han

Future Gener. Comput. Syst., 2017

Multidimensional Data Tensor Sensing for RF Tomographic Imaging.

Tao Deng, Xiao-Yang Liu, Feng Qian, Anwar Walid

CoRR, 2017

Tensor Matched Subspace Detection.

Cuiping Li, Xiao-Yang Liu, Yue Sun

CoRR, 2017

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

Mingjun Su, Jingbo Chang, Feng Qian, Guangmin Hu, Xiao-Yang Liu

CoRR, 2017

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

Feng Qian, Quan Chen, Mingjun Su, Guangmin Hu, Xiao-Yang Liu

CoRR, 2017

Fourth-order Tensors with Multidimensional Discrete Transforms.

Xiao-Yang Liu, Xiaodong Wang

CoRR, 2017

Efficient Two-Dimensional Sparse Coding Using Tensor-Linear Combination.

Fei Jiang, Xiao-Yang Liu, Hongtao Lu, Ruimin Shen

CoRR, 2017

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

Deliang Xu, Cai Fu, Guohui Li, Deqing Zou, Honghao Zhang, Xiao-Yang Liu

IEEE Access, 2017

Data Backlog Analysis in Energy Harvesting Communication Systems.

Riheng Jia, Jinbei Zhang, Peng Liu, Xiao-Yang Liu, Xiaoying Gan, Xinbing Wang

IEEE Access, 2017

Evolving K-Graph: Modeling Hybrid Interactions in Networks.

Jiaqi Liu, Yuhang Yao, Xinzhe Fu, Luoyi Fu, Xiao-Yang Liu, Xinbing Wang

Proceedings of the 18th ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2017

Graph regularized tensor sparse coding for image representation.

Fei Jiang, Xiao-Yang Liu, Hongtao Lu, Ruimin Shen

Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

Advanced Fully Homomorphic Encryption Scheme Over Real Numbers.

Keke Gai, Meikang Qiu, Yujun Li, Xiao-Yang Liu

Proceedings of the 4th IEEE International Conference on Cyber Security and Cloud Computing, 2017

Search engine drives the evolution of social networks.

Cai Fu, Chenchen Peng, Xiao-Yang Liu

Proceedings of the ACM Turing 50th Celebration Conference, 2017

2016

Adaptive Sampling of RF Fingerprints for Fine-Grained Indoor Localization.

Xiao-Yang Liu, Shuchin Aeron, Vaneet Aggarwal, Xiaodong Wang, Min-You Wu

IEEE Trans. Mob. Comput., 2016

Public Vehicles for Future Urban Transportation.

Ming Zhu, Xiao-Yang Liu, Feilong Tang, Meikang Qiu, Ruimin Shen, Wei Wennie Shu, Min-You Wu

IEEE Trans. Intell. Transp. Syst., 2016

Transfer Problem in a Cloud-based Public Vehicle System with Sustainable Discomfort.

Ming Zhu, Xiao-Yang Liu, Meikang Qiu, Ruimin Shen, Wei Shu, Min-You Wu

Mob. Networks Appl., 2016

ICP: Instantaneous clustering protocol for wireless sensor networks.

Linghe Kong, Qiao Xiang, Xue Liu, Xiao-Yang Liu, Xiaofeng Gao, Guihai Chen, Min-You Wu

Comput. Networks, 2016

Traffic big data based path planning strategy in public vehicle systems.

Ming Zhu, Xiao-Yang Liu, Meikang Qiu, Ruimin Shen, Wei Shu, Min-You Wu

Proceedings of the 24th IEEE/ACM International Symposium on Quality of Service, 2016

Drone-Based Wireless Relay Using Online Tensor Update.

Yao Xie, Xiao-Yang Liu, Linghe Kong, Fan Wu, Guihai Chen, Athanasios V. Vasilakos

Proceedings of the 22nd IEEE International Conference on Parallel and Distributed Systems, 2016

EHR: Routing Protocol for Energy Harvesting Wireless Sensor Networks.

Yifeng Cao, Xiao-Yang Liu, Linghe Kong, Min-You Wu, Muhammad Khurram Khan

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.

Xiao-Yang Liu, Shuchin Aeron, Vaneet Aggarwal, Xiaodong Wang, Min-You Wu

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

CDC: Compressive Data Collection for Wireless Sensor Networks.

Xiao-Yang Liu, Yanmin Zhu, Linghe Kong, Cong Liu, Yu Gu, Athanasios V. Vasilakos, Min-You Wu

IEEE Trans. Parallel Distributed Syst., 2015

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

Xiao-Yang Liu, Xiaodong Wang, Linghe Kong, Meikang Qiu, Min-You Wu

CoRR, 2015

Fine-grained Indoor Localization with Adaptively Sampled RF Fingerprints.

Xiao-Yang Liu, Shuchin Aeron, Vaneet Aggarwal, Xiaodong Wang, Min-You Wu

CoRR, 2015

Resource-Efficient Data Gathering in Sensor Networks for Environment Reconstruction.

Linghe Kong, Xiao-Yang Liu, Meixia Tao, Min-You Wu, Yu Gu, Long Cheng, Jianwei Niu

Comput. J., 2015

Privacy-Preserving Compressive Sensing for Crowdsensing Based Trajectory Recovery.

Linghe Kong, Liang He, Xiao-Yang Liu, Yu Gu, Min-You Wu, Xue Liu

Proceedings of the 35th IEEE International Conference on Distributed Computing Systems, 2015

A Public Vehicle System with Multiple Origin-Destination Pairs on Traffic Networks.

Ming Zhu, Linghe Kong, Xiao-Yang Liu, Ruimin Shen, Wei Shu, Min-You Wu

Proceedings of the 2015 IEEE Global Communications Conference, 2015

Search Engine: A Hidden Power for Virus Propagation in Community Networks.

Jia Yang, Cai Fu, Deliang Xu, Lansheng Han, Xiao-Yang Liu

Proceedings of the IEEE 2nd International Conference on Cyber Security and Cloud Computing, 2015

2014

Surface Coverage in Sensor Networks.

Linghe Kong, Ming-Chen Zhao, Xiao-Yang Liu, Jialiang Lu, Yunhuai Liu, Min-You Wu, Wei Shu

IEEE Trans. Parallel Distributed Syst., 2014

Data Loss and Reconstruction in Wireless Sensor Networks.

Linghe Kong, Mingyuan Xia, Xiao-Yang Liu, Guangshuo Chen, Yu Gu, Min-You Wu, Xue Liu

IEEE Trans. Parallel Distributed Syst., 2014

The charging-scheduling problem for electric vehicle networks.

Ming Zhu, Xiao-Yang Liu, Linghe Kong, Ruimin Shen, Wei Shu, Min-You Wu

Proceedings of the IEEE Wireless Communications and Networking Conference, 2014

Multi-attribute compressive data gathering.

Guangshuo Chen, Xiao-Yang Liu, Linghe Kong, Jialiang Lu, Min-You Wu

Proceedings of the IEEE Wireless Communications and Networking Conference, 2014

2013

Mobility increases the surface coverage of distributed sensor networks.

Xiao-Yang Liu, Kai-Liang Wu, Yanmin Zhu, Linghe Kong, Min-You Wu

Comput. Networks, 2013

JSSDR: Joint-Sparse Sensory Data Recovery in wireless sensor networks.

Guangshuo Chen, Xiao-Yang Liu, Linghe Kong, Jialiang Lu, Wei Shu, Min-You Wu

Proceedings of the 9th IEEE International Conference on Wireless and Mobile Computing, 2013

Traffic Aware Routing in urban vehicular networks.

Ting Cao, Xinchao Zhang, Linghe Kong, Xiao-Yang Liu, Wei Shu, Min-You Wu

Proceedings of the 2013 IEEE Wireless Communications and Networking Conference (WCNC), 2013

Data loss and reconstruction in sensor networks.

Linghe Kong, Mingyuan Xia, Xiao-Yang Liu, Min-You Wu, Xue Liu

Proceedings of the IEEE INFOCOM 2013, Turin, Italy, April 14-19, 2013, 2013

Multiple attributes-based data recovery in wireless sensor networks.

Guangshuo Chen, Xiao-Yang Liu, Linghe Kong, Jialiang Lu, Yu Gu, Wei Shu, Min-You Wu

Proceedings of the 2013 IEEE Global Communications Conference, 2013

2011

A Projection Pursuit Based Risk Assessment Method in Mobile Ad hoc Networks.

Cai Fu, Liu Ming, Chen Jing, Zhang Li, Xiao-Yang Liu

Int. J. Comput. Intell. Syst., 2011

2005

The key problem study of the intelligent decision for remote image classification supported by GIS.

Yi-Jin Chen, Xiao-Yang Liu, Xiao-Wen Liang

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2005