The key problem study of the intelligent decision for remote image classification supported by GIS. - Yi-Jin Chen; Xiao-Yang Liu; Xiao-Wen Liang (IGARSS, 2005)

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)

Multiple attributes-based data recovery in wireless sensor networks. - Guangshuo Chen; Xiao-Yang Liu; Linghe Kong; Jialiang Lu; Yu Gu 001; Wei Shu; Min-You Wu (GLOBECOM, 2013)

Data loss and reconstruction in sensor networks. - Linghe Kong; Mingyuan Xia 001; Xiao-Yang Liu; Min-You Wu; Xue Liu 001 (INFOCOM, 2013)

Traffic Aware Routing in urban vehicular networks. - Ting Cao; Xinchao Zhang; Linghe Kong; Xiao-Yang Liu; Wei Shu; Min-You Wu (WCNC, 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 (WiMob, 2013)

Mobility increases the surface coverage of distributed sensor networks. - Xiao-Yang Liu; Kai-Liang Wu; Yanmin Zhu 006; Linghe Kong; Min-You Wu (Comput. Networks, 2013)

Multi-attribute compressive data gathering. - Guangshuo Chen; Xiao-Yang Liu; Linghe Kong; Jialiang Lu; Min-You Wu (WCNC, 2014)

The charging-scheduling problem for electric vehicle networks. - Ming Zhu 002; Xiao-Yang Liu; Linghe Kong; Ruimin Shen; Wei Shu; Min-You Wu (WCNC, 2014)

Data Loss and Reconstruction in Wireless Sensor Networks. - Linghe Kong; Mingyuan Xia 001; Xiao-Yang Liu; Guangshuo Chen; Yu Gu 001; Min-You Wu; Xue Liu 001 (IEEE Trans. Parallel Distributed Syst., 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)

Search Engine: A Hidden Power for Virus Propagation in Community Networks. - Jia Yang; Cai Fu; Deliang Xu; Lansheng Han; Xiao-Yang Liu (CSCloud, 2015)

A Public Vehicle System with Multiple Origin-Destination Pairs on Traffic Networks. - Ming Zhu 002; Linghe Kong; Xiao-Yang Liu; Ruimin Shen; Wei Shu; Min-You Wu (GLOBECOM, 2015)

Privacy-Preserving Compressive Sensing for Crowdsensing Based Trajectory Recovery. - Linghe Kong; Liang He 002; Xiao-Yang Liu; Yu Gu 001; Min-You Wu; Xue Liu 001 (ICDCS, 2015)

Resource-Efficient Data Gathering in Sensor Networks for Environment Reconstruction. - Linghe Kong; Xiao-Yang Liu; Meixia Tao; Min-You Wu; Yu Gu 001; Long Cheng 005; Jianwei Niu 002 (Comput. J., 2015)

Fine-grained Indoor Localization with Adaptively Sampled RF Fingerprints. - Xiao-Yang Liu; Shuchin Aeron; Vaneet Aggarwal; Xiaodong Wang 001; Min-You Wu (CoRR, 2015)

An LS-Decomposition Approach for Robust Data Recovery in Wireless Sensor Networks. - Xiao-Yang Liu; Xiaodong Wang 001; Linghe Kong; Meikang Qiu; Min-You Wu (CoRR, 2015)

CDC: Compressive Data Collection for Wireless Sensor Networks. - Xiao-Yang Liu; Yanmin Zhu 006; Linghe Kong; Cong Liu 005; Yu Gu 001; Athanasios V. Vasilakos; Min-You Wu (IEEE Trans. Parallel Distributed Syst., 2015)

Tensor completion via adaptive sampling of tensor fibers: Application to efficient indoor RF fingerprinting. - Xiao-Yang Liu; Shuchin Aeron; Vaneet Aggarwal; Xiaodong Wang 001; Min-You Wu (ICASSP, 2016)

EHR: Routing Protocol for Energy Harvesting Wireless Sensor Networks. - Yifeng Cao; Xiao-Yang Liu; Linghe Kong; Min-You Wu; Muhammad Khurram Khan (ICPADS, 2016)

Drone-Based Wireless Relay Using Online Tensor Update. - Yao Xie; Xiao-Yang Liu; Linghe Kong; Fan Wu 006; Guihai Chen; Athanasios V. Vasilakos (ICPADS, 2016)

Traffic big data based path planning strategy in public vehicle systems. - Ming Zhu 002; Xiao-Yang Liu; Meikang Qiu; Ruimin Shen; Wei Shu; Min-You Wu (IWQoS, 2016)

ICP: Instantaneous clustering protocol for wireless sensor networks. - Linghe Kong; Qiao Xiang; Xue Liu 001; Xiao-Yang Liu; Xiaofeng Gao 001; Guihai Chen; Min-You Wu (Comput. Networks, 2016)

Transfer Problem in a Cloud-based Public Vehicle System with Sustainable Discomfort. - Ming Zhu 002; Xiao-Yang Liu; Meikang Qiu; Ruimin Shen; Wei Shu; Min-You Wu (Mob. Networks Appl., 2016)

Public Vehicles for Future Urban Transportation. - Ming Zhu 002; Xiao-Yang Liu; Feilong Tang; Meikang Qiu; Ruimin Shen; Wei Wennie Shu; Min-You Wu (IEEE Trans. Intell. Transp. Syst., 2016)

Adaptive Sampling of RF Fingerprints for Fine-Grained Indoor Localization. - Xiao-Yang Liu; Shuchin Aeron; Vaneet Aggarwal; Xiaodong Wang 001; Min-You Wu (IEEE Trans. Mob. Comput., 2016)

Search engine drives the evolution of social networks. - Cai Fu; Chenchen Peng; Xiao-Yang Liu (ACM TUR-C, 2017)

Advanced Fully Homomorphic Encryption Scheme Over Real Numbers. - Keke Gai; Meikang Qiu; Yujun Li; Xiao-Yang Liu (CSCloud, 2017)

Graph regularized tensor sparse coding for image representation. - Fei Jiang 006; Xiao-Yang Liu; Hongtao Lu 001; Ruimin Shen (ICME, 2017)

Evolving K-Graph: Modeling Hybrid Interactions in Networks. - Jiaqi Liu 002; Yuhang Yao; Xinzhe Fu; Luoyi Fu; Xiao-Yang Liu; Xinbing Wang (MobiHoc, 2017)

Data Backlog Analysis in Energy Harvesting Communication Systems. - Riheng Jia; Jinbei Zhang; Peng Liu 020; Xiao-Yang Liu; Xiaoying Gan; Xinbing Wang (IEEE Access, 2017)

Virtualization of the Encryption Card for Trust Access in Cloud Computing. - Deliang Xu; Cai Fu; Guohui Li 001; Deqing Zou; Honghao Zhang; Xiao-Yang Liu (IEEE Access, 2017)

Efficient Two-Dimensional Sparse Coding Using Tensor-Linear Combination. - Fei Jiang 006; Xiao-Yang Liu; Hongtao Lu 001; Ruimin Shen (CoRR, 2017)

Fourth-order Tensors with Multidimensional Discrete Transforms. - Xiao-Yang Liu; Xiaodong Wang 001 (CoRR, 2017)

Exact 3D seismic data reconstruction using Tubal-Alt-Min algorithm. - Feng Qian 005; Quan Chen; Mingjun Su; Guangmin Hu; Xiao-Yang Liu (CoRR, 2017)

3D seismic data denoising using two-dimensional sparse coding scheme. - Mingjun Su; Jingbo Chang; Feng Qian 005; Guangmin Hu; Xiao-Yang Liu (CoRR, 2017)

Tensor Matched Subspace Detection. - Cuiping Li; Xiao-Yang Liu; Yue Sun (CoRR, 2017)

Multidimensional Data Tensor Sensing for RF Tomographic Imaging. - Tao Deng 002; Xiao-Yang Liu; Feng Qian 005; Anwar Walid (CoRR, 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)

Abdominal adipose tissues extraction using multi-scale deep neural network. - Fei Jiang 006; Huating Li; Xuhong Hou; Bin Sheng 001; Ruimin Shen; Xiao-Yang Liu; Weiping Jia; Ping Li 016; Ruogu Fang (Neurocomputing, 2017)

Joint adaptation framework in mobile ad hoc networks: A control theory perspective. - Linghe Kong; Bowen Wang; Xi Chen 009; Xue Liu 001; Xiao-Yang Liu; Jiadi Yu; Guangtao Xue; Guihai Chen (Neurocomputing, 2017)

Information-Centric Networks With Correlated Mobility. - Xiaoying Liu 001; Kechen Zheng; Jun Zhao 007; Xiao-Yang Liu; Xinbing Wang; Xin Di (IEEE Trans. Veh. Technol., 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)

Efficient Multi-Dimensional Tensor Sparse Coding Using t-Linear Combination. - Fei Jiang 006; Xiao-Yang Liu; Hongtao Lu 001; Ruimin Shen (AAAI, 2018)

Anisotropic Total Variation Regularized Low-Rank Tensor Completion Based On Tensor Nuclear Norm for Color Image Inpainting. - Fei Jiang 006; Xiao-Yang Liu; Hongtao Lu 001; Ruimin Shen (ICASSP, 2018)

Tensor Subspace Detection with Tubal-Sampling and Elementwise-Sampling. - Cuiping Li; Yue Sun; Xiao-Yang Liu; Ying Li 002 (ICASSP, 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 005 (ICC, 2018)

Tensor Sensing for Rf Tomographic Imaging. - Tao Deng 002; Feng Qian 005; Xiao-Yang Liu; Manyuan Zhang; Anwar Walid (ICME, 2018)

A Practical Machine Learning Approach for Dynamic Stock Recommendation. - Hongyang Yang; Xiao-Yang Liu; Qingwei Wu (TrustCom/BigDataSE, 2018)

Differentially Private Matrix Completion via Distributed Matrix Factorization. - Haotian Zhou; Xiao-Yang Liu; Cai Fu; Chen Shang; Xinyi Chang (TrustCom/BigDataSE, 2018)

Spectrum Trading for Energy-Harvesting-Enabled Internet of Things in Harsh Environments. - Changle Li; Yuchuan Fu; Zhe Liu 024; Xiao-Yang Liu; Weijie Wu; Lei Xiong (IEEE Access, 2018)

Towards Secure and Energy-Efficient CRNs Via Embracing Interference: A Stochastic Geometry Approach. - Xiaoying Liu 001; Kechen Zheng; Xiao-Yang Liu; Xinbing Wang; Guojun Dai (IEEE Access, 2018)

Information Scaling Law of Deep Neural Networks. - Xiao-Yang Liu (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)

Practical Deep Reinforcement Learning Approach for Stock Trading. - Zhuoran Xiong; Xiao-Yang Liu; Shan Zhong; Hongyang Yang; Anwar Walid (CoRR, 2018)

Deep Reinforcement Learning for Intelligent Transportation Systems. - Xiao-Yang Liu; Zihan Ding; Sem C. Borst; Anwar Walid (CoRR, 2018)

LS-Decomposition for Robust Recovery of Sensory Big Data. - Xiao-Yang Liu; Xiaodong Wang 001 (IEEE Trans. Big Data, 2018)

Joint Transportation and Charging Scheduling in Public Vehicle Systems - A Game Theoretic Approach. - Ming Zhu 002; Xiao-Yang Liu; Xiaodong Wang 001 (IEEE Trans. Intell. Transp. Syst., 2018)

Interest-Aware Information Diffusion in Evolving Social Networks. - Jiaqi Liu 002; Luoyi Fu; Zhe Liu 024; Xiao-Yang Liu; Xinbing Wang (IEEE Trans. Wirel. Commun., 2018)

Practical Machine Learning Approach to Capture the Scholar Data Driven Alpha in AI Industry. - Yunzhe Fang; Xiao-Yang Liu; Hongyang Yang (IEEE BigData, 2019)

High-Performance Tensor Decoder on GPUs for Wireless Camera Networks in IoT. - Hai Li; Tao Zhang 046; Runjia Zhang; Xiao-Yang Liu (HPCC/SmartCity/DSS, 2019)

High-Performance Homomorphic Matrix Completion on GPUs. - Han Lu; Tao Zhang 046; Xiao-Yang Liu (HPCC/SmartCity/DSS, 2019)

Tensor Super-resolution for Seismic Data. - Songjie Liao; Xiao-Yang Liu; Feng Qian 005; Miao Yin; Guangmin Hu (ICASSP, 2019)

Cutensor-tubal: Optimized GPU Library for Low-tubal-rank Tensors. - Tao Zhang 046; Xiao-Yang Liu (ICASSP, 2019)

High-performance Hardware Architecture for Tensor Singular Value Decomposition: Invited Paper. - Chunhua Deng; Miao Yin; Xiao-Yang Liu; Xiaodong Wang 001; Bo Yuan 001 (ICCAD, 2019)

Deep Tensor ADMM-Net for Snapshot Compressive Imaging. - Jiawei Ma; Xiao-Yang Liu; Zheng Shou; Xin Yuan 002 (ICCV, 2019)

Tensor Super-Resolution with Generative Adversarial Nets: A Large Image Generation Approach. - Zihan Ding; Xiao-Yang Liu; Miao Yin; Linghe Kong (HBAI@IJCAI, 2019)

A C++ Library for Tensor Decomposition. - Jiapeng Huang; Linghe Kong; Xiao-Yang Liu; Wenhao Qu; Guihai Chen (IPCCC, 2019)

Price Prediction of Cryptocurrency: An Empirical Study. - Liuqing Yang; Xiao-Yang Liu; Xinyi Li; Yinchuan Li (SmartBlock, 2019)

TGAN: Deep Tensor Generative Adversarial Nets for Large Image Generation. - Zihan Ding; Xiao-Yang Liu; Miao Yin; Wei Liu; Linghe Kong (CoRR, 2019)

Deep Reinforcement Learning for Unmanned Aerial Vehicle-Assisted Vehicular Networks. - Ming Zhu 002; Xiao-Yang Liu; Xiaodong Wang 001 (CoRR, 2019)

Multi-Agent Deep Reinforcement Learning for Liquidation Strategy Analysis. - Wenhang Bao; Xiao-Yang Liu (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)

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 002; Ramin Ramezani (CoRR, 2019)

Spatial Influence-aware Reinforcement Learning for Intelligent Transportation System. - Wenhang Bao; Xiao-Yang Liu (CoRR, 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)

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)

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)

Hybrid Overlay-Underlay Cognitive Radio Networks With Energy Harvesting. - Kechen Zheng; Xiao-Yang Liu; Xiaoying Liu 001; Yihua Zhu 001 (IEEE Trans. Commun., 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 001; Tianqing Zhu (IEEE Trans. Dependable Secur. Comput., 2019)

An Online Ride-Sharing Path-Planning Strategy for Public Vehicle Systems. - Ming Zhu 002; Xiao-Yang Liu; Xiaodong Wang 001 (IEEE Trans. Intell. Transp. Syst., 2019)

Energy Efficiency of Secure Cognitive Radio Networks with Cooperative Spectrum Sharing. - Xiaoying Liu 001; Kechen Zheng; Luoyi Fu; Xiao-Yang Liu; Xinbing Wang; Guojun Dai (IEEE Trans. Mob. Comput., 2019)

Hierarchical Cooperation Improves Delay in Cognitive Radio Networks with Heterogeneous Mobile Secondary Nodes. - Xiaoying Liu 001; Kechen Zheng; Xiao-Yang Liu; Xinbing Wang; Yi-hua Zhu 001 (IEEE Trans. Mob. Comput., 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)

Optimal Rate Control for Energy-Harvesting Systems with Random Data and Energy Arrivals. - Riheng Jia; Jinbei Zhang; Xiao-Yang Liu; Peng Liu 020; Luoyi Fu; Xinbing Wang (ACM Trans. Sens. Networks, 2019)

Tensor FISTA-Net for Real-Time Snapshot Compressive Imaging. - Xiaochen Han; Bo Wu 018; Zheng Shou; Xiao-Yang Liu; Yimeng Zhang; Linghe Kong (AAAI, 2020)

Cloud-based Livestock Monitoring System Using RFID and Blockchain Technology. - Liuqing Yang; Xiao-Yang Liu; Jeong Soo Kim (CSCloud/EdgeCom, 2020)

Quantifying ESG alpha using scholar big data: an automated machine learning approach. - Qian Chen; Xiao-Yang Liu (ICAIF, 2020)

Deep reinforcement learning for automated stock trading: an ensemble strategy. - Hongyang Yang; Xiao-Yang Liu; Shan Zhong; Anwar Walid (ICAIF, 2020)

Generating Robust Audio Adversarial Examples with Temporal Dependency. - Hongting Zhang; Pan Zhou 001; Qiben Yan; Xiao-Yang Liu (IJCAI, 2020)

Secure Smart Home Systems: A Blockchain Perspective. - Liuqing Yang; Xiao-Yang Liu; Wenbo Gong 003 (INFOCOM Workshops, 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 001; Zichuan Xu (ACM Multimedia, 2020)

Video Synthesis via Transform-Based Tensor Neural Network. - Yimeng Zhang; Xiao-Yang Liu; Bo Wu 018; Anwar Walid (ACM Multimedia, 2020)

GMCM: Graph-based Micro-behavior Conversion Model for Post-click Conversion Rate Estimation. - Wentian Bao; Hong Wen 002; Sha Li; Xiao-Yang Liu; Quan Lin; Keping Yang (SIGIR, 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 002; Ramin Ramezani (WWW, 2020)

High-Performance Homomorphic Matrix Completion on Multiple GPUs. - Tao Zhang 046; Han Lu; Xiao-Yang Liu (IEEE Access, 2020)

Compressing Recurrent Neural Networks Using Hierarchical Tucker Tensor Decomposition. - Miao Yin; Siyu Liao; Xiao-Yang Liu; Xiaodong Wang 001; Bo Yuan 001 (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)

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 001; Xiao-Yang Liu; Dapeng Oliver Wu (CoRR, 2020)

ANIMC: A Soft Framework for Auto-weighted Noisy and Incomplete Multi-view Clustering. - Xiang Fang; Yuchong Hu; Pan Zhou 001; Xiao-Yang Liu; Dapeng Oliver Wu (CoRR, 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)

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)

Federated Tensor Mining for Secure Industrial Internet of Things. - Linghe Kong; Xiao-Yang Liu; Hao Sheng 001; Peng Zeng 001; Guihai Chen (IEEE Trans. Ind. Informatics, 2020)

Shearlet Enhanced Snapshot Compressive Imaging. - Peihao Yang; Linghe Kong; Xiao-Yang Liu; Xin Yuan 002; Guihai Chen (IEEE Trans. Image Process., 2020)

Low-Tubal-Rank Tensor Completion Using Alternating Minimization. - Xiao-Yang Liu; Shuchin Aeron; Vaneet Aggarwal; Xiaodong Wang 001 (IEEE Trans. Inf. Theory, 2020)

Energy Efficiency in Multihop Wireless Networks with Unreliable Links. - Kechen Zheng; Xiao-Yang Liu; Luoyi Fu; Xinbing Wang; Yihua Zhu 001 (IEEE Trans. Netw. Sci. Eng., 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)

High Performance GPU Tensor Completion With Tubal-Sampling Pattern. - Tao Zhang 046; Xiao-Yang Liu; Xiaodong Wang 001 (IEEE Trans. Parallel Distributed Syst., 2020)

cuTensor-Tubal: Efficient Primitives for Tubal-Rank Tensor Learning Operations on GPUs. - Tao Zhang 046; Xiao-Yang Liu; Xiaodong Wang 001; Anwar Walid (IEEE Trans. Parallel Distributed Syst., 2020)

Spatiotemporal Graph Neural Network based Mask Reconstruction for Video Object Segmentation. - Daizong Liu; Shuangjie Xu; Xiao-Yang Liu; Zichuan Xu; Wei Wei 002; Pan Zhou 001 (AAAI, 2021)

Towards Extremely Compact RNNs for Video Recognition With Fully Decomposed Hierarchical Tucker Structure. - Miao Yin; Siyu Liao; Xiao-Yang Liu; Xiaodong Wang 001; Bo Yuan 001 (CVPR, 2021)

Explainable deep reinforcement learning for portfolio management: an empirical approach. - Mao Guan; Xiao-Yang Liu (ICAIF, 2021)

FinRL-podracer: high performance and scalable deep reinforcement learning for quantitative finance. - Zechu Li; Xiao-Yang Liu; Jiahao Zheng 002; Zhaoran Wang 001; Anwar Walid; Jian Guo (ICAIF, 2021)

FinRL: deep reinforcement learning framework to automate trading in quantitative finance. - Xiao-Yang Liu; Hongyang Yang; Jiechao Gao; Christina Dan Wang (ICAIF, 2021)

Domain-Specific Sentence Encoder for Intention Recognition in Large-Scale Shopping Platforms. - Chong Zhang; Zhiyuan Wang; Liuqing Yang; Xiao-Yang Liu; Ling Jiang (KSEM, 2021)

Quantum Tensor Network in Machine Learning: An Application to Tiny Object Classification. - Fanjie Kong; Xiao-Yang Liu; Ricardo Henao (CoRR, 2021)

Convolutional Graph-Tensor Net for Graph Data Completion. - Xiao-Yang Liu; Ming Zhu 002 (CoRR, 2021)

ElegantRL-Podracer: Scalable and Elastic Library for Cloud-Native Deep Reinforcement Learning. - Xiao-Yang Liu; Zechu Li; Zhuoran Yang; Jiahao Zheng 002; Zhaoran Wang 001; Anwar Walid; Jian Guo; Michael I. Jordan (CoRR, 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 001; Christina Dan Wang; Jian Guo (CoRR, 2021)

High performance GPU primitives for graph-tensor learning operations. - Tao Zhang 046; Wang Kan; Xiao-Yang Liu (J. Parallel Distributed Comput., 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)

Joint Multitarget Detection and Tracking in Multipath Environment Using Expectation Maximization Algorithm. - Zhihua Li; Hongtao Su; Xiao-Yang Liu; Guoqing Wang 003; Mengdao Xing (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Single Image Cloud Removal Using U-Net and Generative Adversarial Networks. - Jiahao Zheng 002; Xiao-Yang Liu; Xiaodong Wang 001 (IEEE Trans. Geosci. Remote. Sens., 2021)

Deep Shearlet Residual Learning Network for Single Image Super-Resolution. - Tianyu Geng; Xiao-Yang Liu; Xiaodong Wang 001; Guiling Sun (IEEE Trans. Image Process., 2021)

Real-Time Indoor Localization for Smartphones Using Tensor-Generative Adversarial Nets. - Xiao-Yang Liu; Xiaodong Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Interpretable Generative Adversarial Networks With Exponential Function. - Rui She 001; Pingyi Fan; Xiao-Yang Liu; Xiaodong Wang 001 (IEEE Trans. Signal Process., 2021)

High Performance Single-Site Finite DMRG on GPUs. - Hao Hong; Weiqin Tong; Xiaoping Liu; Tao Zhang; Xiao-Yang Liu (CAIBDA, 2022)

Homomorphic Matrix Completion. - Xiao-Yang Liu; Zechu (Steven) Li; Xiaodong Wang (NeurIPS, 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 002; Christina Dan Wang; Zhaoran Wang 001; Jian Guo (NeurIPS, 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)

Recommendations in Smart Devices Using Federated Tensor Learning. - Jia Yang; Cai Fu; Xiao-Yang Liu; Anwar Walid (IEEE Internet Things J., 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)

Codee: A Tensor Embedding Scheme for Binary Code Search. - Jia Yang; Cai Fu; Xiao-Yang Liu; Heng Yin 001; Pan Zhou 001 (IEEE Trans. Software Eng., 2022)

Downlink Beamforming Optimization via Deep Learning. - Jeremy Johnston; Xiao-Yang Liu; Shixun Wu; Xiaodong Wang 001 (Allerton, 2023)

Enhancing Financial Sentiment Analysis via Retrieval Augmented Large Language Models. - Boyu Zhang; Hongyang Yang; Tianyu Zhou; Ali Babar 001; Xiao-Yang Liu (ICAIF, 2023)

Classical Simulation of Quantum Circuits: Parallel Environments and Benchmark. - Xiao-Yang Liu; Zeliang Zhang (NeurIPS, 2023)

Deep Reinforcement Learning for Traffic Light Control in Intelligent Transportation Systems. - Xiao-Yang Liu; Ming Zhu 002; Sem C. Borst; Anwar Walid (CoRR, 2023)

FinGPT: Open-Source Financial Large Language Models. - Hongyang Yang; Xiao-Yang Liu; Christina Dan Wang (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: Democratizing Internet-scale Data for Financial Large Language Models. - Xiao-Yang Liu; Guoxuan Wang; Daochen Zha (CoRR, 2023)

Deficiency of Large Language Models in Finance: An Empirical Examination of Hallucination. - Haoqiang Kang; Xiao-Yang Liu (CoRR, 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)

High Performance Hierarchical Tucker Tensor Learning Using GPU Tensor Cores. - Hao Huang; Xiao-Yang Liu; Weiqin Tong; Tao Zhang 046; Anwar Walid; Xiaodong Wang 001 (IEEE Trans. Computers, 2023)

High-Performance Tensor Learning Primitives Using GPU Tensor Cores. - Xiao-Yang Liu; Zeliang Zhang; Zhiyuan Wang; Han Lu; Xiaodong Wang 001; Anwar Walid (IEEE Trans. Computers, 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., 2023)

XBRL Agent: Leveraging Large Language Models for Financial Report Analysis. - Shijie Han; Haoqiang Kang; Bo Jin; Xiao-Yang Liu; Steve Y. Yang (ICAIF, 2024)

Analyzing Cascading Outbreak of GameStop Event: A Practical Approach Using Network Analysis and Large Language Models. - Shengyuan Lin; Keyi Wang; Xiao-Yang Liu (ICAIF, 2024)

Customized FinGPT Search Agents Using Foundation Models. - Felix Tian; Ajay Byadgi; Daniel S. Kim; Daochen Zha; Matt White; Kairong Xiao; Xiao-Yang Liu (ICAIF, 2024)

Efficient Pretraining and Finetuning of Quantized LLMs with Low-Rank Structure. - Xiao-Yang Liu; Jie Zhang; Guoxuan Wang; Weiqin Tong; Anwar Walid (ICDCS, 2024)

High-Performance Spectral Tensor Layer for Deep Neural Network. - Jie Zhang; Weiqing Tong; Xiao-Yang Liu (IDS, 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 002; Jimin Huang; Qianqian Xie (KDD, 2024)

FinBen: A 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; et al. (NeurIPS, 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 002; Jimin Huang; Qianqian Xie (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; et al. (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 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)

Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications. - Qianqian Xie; Dong Li; Mengxi Xiao; Zihao Jiang 012; Ruoyu Xiang; Xiao Zhang; Zhengyu Chen; Yueru He; Weiguang Han; Yuzhe Yang 002; Shunian Chen; Yifei Zhang; et al. (CoRR, 2024)

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design. - Dannong Wang; Jintai Chen; Zhiding Liang; Tianfan Fu; Xiao-Yang Liu (CoRR, 2024)

FinLoRA: Finetuning Quantized Financial Large Language Models Using Low-Rank Adaptation. - Dannong Wang; Daniel Kim; Bo Jin; Xingjian Zhao; Tianfan Fu; Steve Yang; Xiao-Yang Liu (CoRR, 2024)

A Curriculum Learning Approach to Optimization with Application to Downlink Beamforming. - Jeremy Johnston; Xiao-Yang Liu; Shixun Wu; Xiaodong Wang 001 (IEEE Trans. Signal Process., 2024)

Dynamic datasets and market environments for financial reinforcement learning. - Xiao-Yang Liu; Ziyi Xia; Hongyang Yang; Jiechao Gao; Daochen Zha; Ming Zhu 002; Christina Dan Wang; Zhaoran Wang 001; Jian Guo (Mach. Learn., 2024)

Real-Time Decoding of Snapshot Compressive Imaging Using Tensor FISTA-Net. - Xiao-Yang Liu; Qifan Huang; Xiaochen Han; Bo Wu 018; Linghe Kong; Anwar Walid; Xiaodong Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

FLAG-TRADER: Fusion LLM-Agent with Gradient-based Reinforcement Learning for Financial Trading. - Guojun Xiong; Zhiyang Deng; Keyi Wang; Yupeng Cao; Haohang Li; Yangyang Yu; Xueqing Peng; Mingquan Lin; Kaleb E. Smith; Xiao-Yang Liu; Jimin Huang; Sophia Ananiadou; et al. (ACL (Findings), 2025)

FinNLP-FNP-LLMFinLegal-2025 Shared Task: Regulations Challenge. - Keyi Wang; Jaisal Patel; Charlie Shen; Daniel S. Kim; Andy Zhu; Alex Lin; Luca Borella; Cailean Osborne; Matt White; Steve Yang; Kairong Xiao; Xiao-Yang Liu (COLING Workshops, 2025)

Differentially Private Low-Rank Adaptation of Large Language Model Using Federated Learning. - Xiao-Yang Liu; Rongyi Zhu; Daochen Zha; Jiechao Gao; Shan Zhong; Matt White; Meikang Qiu (ACM Trans. Manag. Inf. Syst., 2025)

Graph-Tensor FISTA-Net: Edge Computing-Aided Deep Learning for Distributed Traffic Data Recovery. - Lei Deng; Xiao-Yang Liu; Haifeng Zheng; Xinxin Feng; Ming Zhu 002; Danny H. K. Tsang (IEEE Trans. Netw. Sci. Eng., 2025)

Reinforcement Learning for Quantum Circuit Design: Using Matrix Representations. - Zhiyuan Wang; Chunlin Feng; Christopher Poon; Lijian Huang; Xingjian Zhao; Yao Ma; Tianfan Fu; Xiao-Yang Liu (CoRR, 2025)

FinAudio: A Benchmark for Audio Large Language Models in Financial Applications. - Yupeng Cao; Haohang Li; Yangyang Yu; Shashidhar Reddy Javaji; Yueru He; Jimin Huang; Zining Zhu 005; Qianqian Xie; Xiao-Yang Liu; Koduvayur Subbalakshmi; Meikang Qiu; Sophia Ananiadou; et al. (CoRR, 2025)

Spectral Tensor Layers for Communication-Free Distributed Deep Learning. - Xiao-Yang Liu; Xiaodong Wang 001; Bo Yuan 001; Jiashu Han (IEEE Trans. Neural Networks Learn. Syst., 2025)

FinLoRA: Benchmarking LoRA Methods for Fine-Tuning LLMs on Financial Datasets. - Dannong Wang; Jaisal Patel; Daochen Zha; Steve Y. Yang; Xiao-Yang Liu (CoRR, 2025)

FinTagging: An LLM-ready Benchmark for Extracting and Structuring Financial Information. - Yan Wang; Yang Ren; Lingfei Qian; Xueqing Peng; Keyi Wang; Yi Han; Dongji Feng; Xiao-Yang Liu; Jimin Huang; Qianqian Xie (CoRR, 2025)

MultiFinBen: A Multilingual, Multimodal, and Difficulty-Aware Benchmark for Financial LLM Evaluation. - Xueqing Peng; Lingfei Qian; Yan Wang; Ruoyu Xiang; Yueru He; Yang Ren; Mingyang Jiang; Jeff Zhao; Huan He; Yi Han; Yun Feng; Yuechen Jiang; et al. (CoRR, 2025)