Xiao-Yang Liu

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 155

Top Venues

Publications

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
The FinBen: An Holistic Financial Benchmark for Large Language Models. CoRR (2024)
Xiao Zhang, Ruoyu Xiang, Chenhan Yuan, Duanyu Feng, Weiguang Han, Alejandro Lopez-Lira, Xiao-Yang Liu, Sophia Ananiadou, Min Peng, Jimin Huang, Qianqian Xie
Dólares or Dollars? Unraveling the Bilingual Prowess of Financial LLMs Between Spanish and English. CoRR (2024)
Xiao-Yang Liu, Jie Zhang, Guoxuan Wang, Weiqing Tong, Anwar Walid
FinGPT-HPC: Efficient Pretraining and Finetuning Large Language Models for Financial Applications with High-Performance Computing. CoRR (2024)
Jie Zhang, Weiqing Tong, Xiao-Yang Liu
High-Performance Spectral Tensor Layer for Deep Neural Network. IDS (2024)
Xiao-Yang Liu, Ziyi Xia, Hongyang Yang, Jiechao Gao, Daochen Zha, Ming Zhu, Christina Dan Wang, Zhaoran Wang, Jian Guo
Dynamic datasets and market environments for financial reinforcement learning. Mach. Learn. 113 (5) (2024)
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
Dólares or Dollars? Unraveling the Bilingual Prowess of Financial LLMs Between Spanish and English. KDD (2024)
Matt White, Ibrahim Haddad, Cailean Osborne, Xiao-Yang Liu, Ahmed Abdelmonsef, Sachin Varghese
The Model Openness Framework: Promoting Completeness and Openness for Reproducibility, Transparency and Usability in AI. CoRR (2024)
Xiao-Yang Liu, Guoxuan Wang, Daochen Zha
FinGPT: Democratizing Internet-scale Data for Financial Large Language Models. CoRR (2023)
Xiao-Yang Liu, Zeliang Zhang
Classical Simulation of Quantum Circuits: Parallel Environments and Benchmark. NeurIPS (2023)
Xiao-Yang Liu, Ming Zhu, Sem C. Borst, Anwar Walid
Deep Reinforcement Learning for Traffic Light Control in Intelligent Transportation Systems. CoRR (2023)
Jeremy Johnston, Xiao-Yang Liu, Shixun Wu, Xiaodong Wang
Downlink Beamforming Optimization via Deep Learning. Allerton (2023)
Xiao-Yang Liu, Rongyi Zhu, Daochen Zha, Jiechao Gao, Shan Zhong, Meikang Qiu
Differentially Private Low-Rank Adaptation of Large Language Model Using Federated Learning. CoRR (2023)
Xiao-Yang Liu, Ziyi Xia, Hongyang Yang, Jiechao Gao, Daochen Zha, Ming Zhu, Christina Dan Wang, Zhaoran Wang, Jian Guo
Dynamic Datasets and Market Environments for Financial Reinforcement Learning. CoRR (2023)
Boyu Zhang, Hongyang Yang, Tianyu Zhou, Ali Babar, Xiao-Yang Liu
Enhancing Financial Sentiment Analysis via Retrieval Augmented Large Language Models. ICAIF (2023)
Haoqiang Kang, Xiao-Yang Liu
Deficiency of Large Language Models in Finance: An Empirical Examination of Hallucination. CoRR (2023)
Boyu Zhang, Hongyang Yang, Tianyu Zhou, Ali Babar, Xiao-Yang Liu
Enhancing Financial Sentiment Analysis via Retrieval Augmented Large Language Models. CoRR (2023)
Hao Huang, Xiao-Yang Liu, Weiqin Tong, Tao Zhang, Anwar Walid, Xiaodong Wang
High Performance Hierarchical Tucker Tensor Learning Using GPU Tensor Cores. IEEE Trans. Computers 72 (2) (2023)
Boyu Zhang, Hongyang Yang, Xiao-Yang Liu
Instruct-FinGPT: Financial Sentiment Analysis by Instruction Tuning of General-Purpose Large Language Models. CoRR (2023)
Xiao-Yang Liu, Zeliang Zhang, Zhiyuan Wang, Han Lu, Xiaodong Wang, Anwar Walid
High-Performance Tensor Learning Primitives Using GPU Tensor Cores. IEEE Trans. Computers 72 (6) (2023)
Hongyang Yang, Xiao-Yang Liu, Christina Dan Wang
FinGPT: Open-Source Financial Large Language Models. CoRR (2023)
Lei Deng, Xiao-Yang Liu, Haifeng Zheng, Xinxin Feng, Zhizhang Chen
Graph-Tensor Neural Networks for Network Traffic Data Imputation. IEEE/ACM Trans. Netw. 31 (6) (2023)
Jia Yang, Cai Fu, Xiao-Yang Liu, Anwar Walid
Recommendations in Smart Devices Using Federated Tensor Learning. IEEE Internet Things J. 9 (11) (2022)
Xiao-Yang Liu, Zechu (Steven) Li, Xiaodong Wang
Homomorphic Matrix Completion. NeurIPS (2022)
Hao Hong, Weiqin Tong, Xiaoping Liu, Tao Zhang, Xiao-Yang Liu
High Performance Single-Site Finite DMRG on GPUs. CAIBDA (2022)
Lei Deng, Xiao-Yang Liu, Haifeng Zheng, Xinxin Feng, Youjia Chen
Graph Spectral Regularized Tensor Completion for Traffic Data Imputation. IEEE Trans. Intell. Transp. Syst. 23 (8) (2022)
Berend Jelmer Dirk Gort, Xiao-Yang Liu, Xinghang Sun, Jiechao Gao, Shuaiyu Chen, Christina Dan Wang
Deep Reinforcement Learning for Cryptocurrency Trading: Practical Approach to Address Backtest Overfitting. CoRR (2022)
Xiao-Yang Liu, Ziyi Xia, Jingyang Rui, Jiechao Gao, Hongyang Yang, Ming Zhu, Christina Dan Wang, Zhaoran Wang, Jian Guo
FinRL-Meta: Market Environments and Benchmarks for Data-Driven Financial Reinforcement Learning. NeurIPS (2022)
Jia Yang, Cai Fu, Xiao-Yang Liu, Heng Yin, Pan Zhou
Codee: A Tensor Embedding Scheme for Binary Code Search. IEEE Trans. Software Eng. 48 (7) (2022)
Mao Guan, Xiao-Yang Liu
Explainable deep reinforcement learning for portfolio management: an empirical approach. ICAIF (2021)
Mao Guan, Xiao-Yang Liu
Explainable Deep Reinforcement Learning for Portfolio Management: An Empirical Approach. CoRR (2021)
Xiao-Yang Liu, Zechu Li, Zhuoran Yang, Jiahao Zheng, Zhaoran Wang, Anwar Walid, Jian Guo, Michael I. Jordan
ElegantRL-Podracer: Scalable and Elastic Library for Cloud-Native Deep Reinforcement Learning. CoRR (2021)
Zechu Li, Xiao-Yang Liu, Jiahao Zheng, Zhaoran Wang, Anwar Walid, Jian Guo
FinRL-podracer: high performance and scalable deep reinforcement learning for quantitative finance. ICAIF (2021)
Xiao-Yang Liu, Hongyang Yang, Jiechao Gao, Christina Dan Wang
FinRL: Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance. CoRR (2021)
Jiahao Zheng, Xiao-Yang Liu, Xiaodong Wang
Single Image Cloud Removal Using U-Net and Generative Adversarial Networks. IEEE Trans. Geosci. Remote. Sens. 59 (8) (2021)
Zechu Li, Xiao-Yang Liu, Jiahao Zheng, Zhaoran Wang, Anwar Walid, Jian Guo
FinRL-Podracer: High Performance and Scalable Deep Reinforcement Learning for Quantitative Finance. CoRR (2021)
Tianyu Geng, Xiao-Yang Liu, Xiaodong Wang, Guiling Sun
Deep Shearlet Residual Learning Network for Single Image Super-Resolution. IEEE Trans. Image Process. 30 (2021)
Zhihua Li, Hongtao Su, Xiao-Yang Liu, Guoqing Wang, Mengdao Xing
Joint Multitarget Detection and Tracking in Multipath Environment Using Expectation Maximization Algorithm. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14 (2021)
Xiao-Yang Liu, Jingyang Rui, Jiechao Gao, Liuqing Yang, Hongyang Yang, Zhaoran Wang, Christina Dan Wang, Jian Guo
FinRL-Meta: A Universe of Near-Real Market Environments for Data-Driven Deep Reinforcement Learning in Quantitative Finance. CoRR (2021)
Fanjie Kong, Xiao-Yang Liu, Ricardo Henao
Quantum Tensor Network in Machine Learning: An Application to Tiny Object Classification. CoRR (2021)
Miao Yin, Siyu Liao, Xiao-Yang Liu, Xiaodong Wang, Bo Yuan
Towards Extremely Compact RNNs for Video Recognition With Fully Decomposed Hierarchical Tucker Structure. CVPR (2021)
Rui She, Pingyi Fan, Xiao-Yang Liu, Xiaodong Wang
Interpretable Generative Adversarial Networks With Exponential Function. IEEE Trans. Signal Process. 69 (2021)
Xiao-Yang Liu, Hongyang Yang, Jiechao Gao, Christina Dan Wang
FinRL: deep reinforcement learning framework to automate trading in quantitative finance. ICAIF (2021)
Miao Yin, Siyu Liao, Xiao-Yang Liu, Xiaodong Wang, Bo Yuan
Towards Extremely Compact RNNs for Video Recognition with Fully Decomposed Hierarchical Tucker Structure. CoRR (2021)
Jing-Jing Zhou, Ya-Hao Zhang, Ze-Min Han, Xiao-Yang Liu, Yong-Feng Jian, Chun-Gen Hu, Yuanyong Dian
Evaluating the Performance of Hyperspectral Leaf Reflectance to Detect Water Stress and Estimation of Photosynthetic Capacities. Remote. Sens. 13 (11) (2021)
Xiao-Yang Liu, Xiaodong Wang
Real-Time Indoor Localization for Smartphones Using Tensor-Generative Adversarial Nets. IEEE Trans. Neural Networks Learn. Syst. 32 (8) (2021)
Daizong Liu, Shuangjie Xu, Xiao-Yang Liu, Zichuan Xu, Wei Wei, Pan Zhou
Spatiotemporal Graph Neural Network based Mask Reconstruction for Video Object Segmentation. AAAI (2021)
Tao Zhang, Wang Kan, Xiao-Yang Liu
High performance GPU primitives for graph-tensor learning operations. J. Parallel Distributed Comput. 148 (2021)
Xiao-Yang Liu, Ming Zhu
Convolutional Graph-Tensor Net for Graph Data Completion. CoRR (2021)
Chong Zhang, Zhiyuan Wang, Liuqing Yang, Xiao-Yang Liu, Ling Jiang
Domain-Specific Sentence Encoder for Intention Recognition in Large-Scale Shopping Platforms. KSEM (2021)
Xiao-Yang Liu, Yimeng Zhang, Yukang Liao, Ling Jiang
Dynamic Updating of the Knowledge Base for a Large-Scale Question Answering System. ACM Trans. Asian Low Resour. Lang. Inf. Process. 19 (3) (2020)
Hongyang Yang, Xiao-Yang Liu, Shan Zhong, Anwar Walid
Deep reinforcement learning for automated stock trading: an ensemble strategy. ICAIF (2020)
Peihao Yang, Linghe Kong, Xiao-Yang Liu, Xin Yuan, Guihai Chen
Shearlet Enhanced Snapshot Compressive Imaging. IEEE Trans. Image Process. 29 (2020)
Liuqing Yang, Xiao-Yang Liu, Jeong Soo Kim
Cloud-based Livestock Monitoring System Using RFID and Blockchain Technology. CSCloud/EdgeCom (2020)
Xiaochen Han, Bo Wu, Zheng Shou, Xiao-Yang Liu, Yimeng Zhang, Linghe Kong
Tensor FISTA-Net for Real-Time Snapshot Compressive Imaging. AAAI (2020)
Xiang Fang, Yuchong Hu, Pan Zhou, Xiao-Yang Liu, Dapeng Oliver Wu
Unbalanced Incomplete Multi-view Clustering via the Scheme of View Evolution: Weak Views are Meat; Strong Views do Eat. CoRR (2020)
Wentian Bao, Hong Wen, Sha Li, Xiao-Yang Liu, Quan Lin, Keping Yang
GMCM: Graph-based Micro-behavior Conversion Model for Post-click Conversion Rate Estimation. SIGIR (2020)
Qian Chen, Xiao-Yang Liu
Quantifying ESG alpha using scholar big data: an automated machine learning approach. ICAIF (2020)
Tao Zhang, Xiao-Yang Liu, Xiaodong Wang
High Performance GPU Tensor Completion With Tubal-Sampling Pattern. IEEE Trans. Parallel Distributed Syst. 31 (7) (2020)
Daizong Liu, Shuangjie Xu, Xiao-Yang Liu, Zichuan Xu, Wei Wei, Pan Zhou
Spatiotemporal Graph Neural Network based Mask Reconstruction for Video Object Segmentation. CoRR (2020)
Hongting Zhang, Pan Zhou, Qiben Yan, Xiao-Yang Liu
Generating Robust Audio Adversarial Examples with Temporal Dependency. IJCAI (2020)
Tao Zhang, Xiao-Yang Liu, Xiaodong Wang, Anwar Walid
cuTensor-Tubal: Efficient Primitives for Tubal-Rank Tensor Learning Operations on GPUs. IEEE Trans. Parallel Distributed Syst. 31 (3) (2020)
Miao Yin, Siyu Liao, Xiao-Yang Liu, Xiaodong Wang, Bo Yuan
Compressing Recurrent Neural Networks Using Hierarchical Tucker Tensor Decomposition. CoRR (2020)
Daizong Liu, Xiaoye Qu, Xiao-Yang Liu, Jianfeng Dong, Pan Zhou, Zichuan Xu
Jointly Cross- and Self-Modal Graph Attention Network for Query-Based Moment Localization. CoRR (2020)
Liuqing Yang, Xiao-Yang Liu, Wenbo Gong
Secure Smart Home Systems: A Blockchain Perspective. INFOCOM Workshops (2020)
Xiang Fang, Yuchong Hu, Pan Zhou, Xiao-Yang Liu, Dapeng Oliver Wu
ANIMC: A Soft Framework for Auto-weighted Noisy and Incomplete Multi-view Clustering. CoRR (2020)
Xiao-Yang Liu, Shuchin Aeron, Vaneet Aggarwal, Xiaodong Wang
Low-Tubal-Rank Tensor Completion Using Alternating Minimization. IEEE Trans. Inf. Theory 66 (3) (2020)
Daizong Liu, Xiaoye Qu, Xiao-Yang Liu, Jianfeng Dong, Pan Zhou, Zichuan Xu
Jointly Cross- and Self-Modal Graph Attention Network for Query-Based Moment Localization. ACM Multimedia (2020)
Xiao-Yang Liu, Hongyang Yang, Qian Chen, Runjia Zhang, Liuqing Yang, Bowen Xiao, Christina Dan Wang
FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance. CoRR (2020)
Wenhao Zhang, Wentian Bao, Xiao-Yang Liu, Keping Yang, Quan Lin, Hong Wen, Ramin Ramezani
Large-scale Causal Approaches to Debiasing Post-click Conversion Rate Estimation with Multi-task Learning. WWW (2020)
Cai Fu, Zhao Yang, Xiao-Yang Liu, Jia Yang, Anwar Walid, Laurence T. Yang
Secure Tensor Decomposition for Heterogeneous Multimedia Data in Cloud Computing. IEEE Trans. Comput. Soc. Syst. 7 (1) (2020)
Kechen Zheng, Xiao-Yang Liu, Luoyi Fu, Xinbing Wang, Yihua Zhu
Energy Efficiency in Multihop Wireless Networks with Unreliable Links. IEEE Trans. Netw. Sci. Eng. 7 (1) (2020)
Yimeng Zhang, Xiao-Yang Liu, Bo Wu, Anwar Walid
Video Synthesis via Transform-Based Tensor Neural Network. ACM Multimedia (2020)
Lei Deng, Haifeng Zheng, Xiao-Yang Liu, Xinxin Feng, Zhizhang (David) Chen
Network Latency Estimation With Leverage Sampling for Personal Devices: An Adaptive Tensor Completion Approach. IEEE/ACM Trans. Netw. 28 (6) (2020)
Linghe Kong, Xiao-Yang Liu, Hao Sheng, Peng Zeng, Guihai Chen
Federated Tensor Mining for Secure Industrial Internet of Things. IEEE Trans. Ind. Informatics 16 (3) (2020)
Tao Zhang, Han Lu, Xiao-Yang Liu
High-Performance Homomorphic Matrix Completion on Multiple GPUs. IEEE Access 8 (2020)
Zihan Ding, Xiao-Yang Liu, Miao Yin, Linghe Kong
Tensor Super-Resolution with Generative Adversarial Nets: A Large Image Generation Approach. HBAI@IJCAI (2019)
Wenhao Zhang, Wentian Bao, Xiao-Yang Liu, Keping Yang, Quan Lin, Hong Wen, Ramin Ramezani
A Causal Perspective to Unbiased Conversion Rate Estimation on Data Missing Not at Random. CoRR (2019)
Wenhang Bao, Xiao-Yang Liu
Spatial Influence-aware Reinforcement Learning for Intelligent Transportation System. CoRR (2019)
Cai Fu, Xiao-Yang Liu, Jia Yang, Laurence T. Yang, Shui Yu, Tianqing Zhu
Wormhole: The Hidden Virus Propagation Power of the Search Engine in Social Networks. IEEE Trans. Dependable Secur. Comput. 16 (4) (2019)
Han Lu, Tao Zhang, Xiao-Yang Liu
High-Performance Homomorphic Matrix Completion on GPUs. HPCC/SmartCity/DSS (2019)
Jiawei Ma, Xiao-Yang Liu, Zheng Shou, Xin Yuan
Deep Tensor ADMM-Net for Snapshot Compressive Imaging. ICCV (2019)
Songjie Liao, Xiao-Yang Liu, Feng Qian, Miao Yin, Guangmin Hu
Tensor Super-resolution for Seismic Data. ICASSP (2019)
Kechen Zheng, Xiao-Yang Liu, Xiaoying Liu, Yihua Zhu
Hybrid Overlay-Underlay Cognitive Radio Networks With Energy Harvesting. IEEE Trans. Commun. 67 (7) (2019)
Hai Li, Tao Zhang, Runjia Zhang, Xiao-Yang Liu
High-Performance Tensor Decoder on GPUs for Wireless Camera Networks in IoT. HPCC/SmartCity/DSS (2019)
Chunhua Deng, Miao Yin, Xiao-Yang Liu, Xiaodong Wang, Bo Yuan
High-performance Hardware Architecture for Tensor Singular Value Decomposition: Invited Paper. ICCAD (2019)
Xinyi Li, Yinchuan Li, Hongyang Yang, Liuqing Yang, Xiao-Yang Liu
DP-LSTM: Differential Privacy-inspired LSTM for Stock Prediction Using Financial News. CoRR (2019)
Liuqing Yang, Xiao-Yang Liu, Xinyi Li, Yinchuan Li
Price Prediction of Cryptocurrency: An Empirical Study. SmartBlock (2019)
Huaying Wu, Xiao-Yang Liu, Luoyi Fu, Xinbing Wang
Energy-Efficient and Robust Tensor-Encoder for Wireless Camera Networks in Internet of Things. IEEE Trans. Netw. Sci. Eng. 6 (4) (2019)
Cai Fu, Chenchen Peng, Xiao-Yang Liu, Laurence T. Yang, Jia Yang, Lansheng Han
Search engine: The social relationship driving power of Internet of Things. Future Gener. Comput. Syst. 92 (2019)
Tao Zhang, Xiao-Yang Liu
Cutensor-tubal: Optimized GPU Library for Low-tubal-rank Tensors. ICASSP (2019)
Haifeng Zheng, Min Gao, Zhizhang Chen, Xiao-Yang Liu, Xinxin Feng
An Adaptive Sampling Scheme via Approximate Volume Sampling for Fingerprint-Based Indoor Localization. IEEE Internet Things J. 6 (2) (2019)
Xiaoying Liu, Kechen Zheng, Luoyi Fu, Xiao-Yang Liu, Xinbing Wang, Guojun Dai
Energy Efficiency of Secure Cognitive Radio Networks with Cooperative Spectrum Sharing. IEEE Trans. Mob. Comput. 18 (2) (2019)
Riheng Jia, Jinbei Zhang, Xiao-Yang Liu, Peng Liu, Luoyi Fu, Xinbing Wang
Optimal Rate Control for Energy-Harvesting Systems with Random Data and Energy Arrivals. ACM Trans. Sens. Networks 15 (1) (2019)
Zihan Ding, Xiao-Yang Liu, Miao Yin, Wei Liu, Linghe Kong
TGAN: Deep Tensor Generative Adversarial Nets for Large Image Generation. CoRR (2019)
Wenhang Bao, Xiao-Yang Liu
Multi-Agent Deep Reinforcement Learning for Liquidation Strategy Analysis. CoRR (2019)
Jiapeng Huang, Linghe Kong, Xiao-Yang Liu, Wenhao Qu, Guihai Chen
A C++ Library for Tensor Decomposition. IPCCC (2019)
Xiaoying Liu, Kechen Zheng, Xiao-Yang Liu, Xinbing Wang, Yi-hua Zhu
Hierarchical Cooperation Improves Delay in Cognitive Radio Networks with Heterogeneous Mobile Secondary Nodes. IEEE Trans. Mob. Comput. 18 (12) (2019)
Ming Zhu, Xiao-Yang Liu, Xiaodong Wang
An Online Ride-Sharing Path-Planning Strategy for Public Vehicle Systems. IEEE Trans. Intell. Transp. Syst. 20 (2) (2019)
Yunzhe Fang, Xiao-Yang Liu, Hongyang Yang
Practical Machine Learning Approach to Capture the Scholar Data Driven Alpha in AI Industry. IEEE BigData (2019)
Xinyi Li, Yinchuan Li, Xiao-Yang Liu, Christina Dan Wang
Risk Management via Anomaly Circumvent: Mnemonic Deep Learning for Midterm Stock Prediction. CoRR (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Xiao-Yang Liu