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2020 – today
- 2023
[j53]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): 452-465 (2023)- [j52]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): 1733-1746 (2023) - [c56]Jeremy Johnston, Xiao-Yang Liu, Shixun Wu, Xiaodong Wang:
Downlink Beamforming Optimization via Deep Learning. Allerton 2023: 1-5 - [c55]Boyu Zhang, Hongyang Yang, Tianyu Zhou, Ali Babar, Xiao-Yang Liu:
Enhancing Financial Sentiment Analysis via Retrieval Augmented Large Language Models. ICAIF 2023: 349-356 - [i47]Xiao-Yang Liu, Ming Zhu, Sem C. Borst, Anwar Walid:
Deep Reinforcement Learning for Traffic Light Control in Intelligent Transportation Systems. CoRR abs/2302.03669 (2023) - [i46]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 abs/2304.13174 (2023) - [i45]Hongyang Yang, Xiao-Yang Liu, Christina Dan Wang:
FinGPT: Open-Source Financial Large Language Models. CoRR abs/2306.06031 (2023) - [i44]Boyu Zhang, Hongyang Yang, Xiao-Yang Liu:
Instruct-FinGPT: Financial Sentiment Analysis by Instruction Tuning of General-Purpose Large Language Models. CoRR abs/2306.12659 (2023) - [i43]Xiao-Yang Liu, Guoxuan Wang, Daochen Zha:
FinGPT: Democratizing Internet-scale Data for Financial Large Language Models. CoRR abs/2307.10485 (2023) - [i42]Boyu Zhang, Hongyang Yang, Tianyu Zhou, Ali Babar, Xiao-Yang Liu:
Enhancing Financial Sentiment Analysis via Retrieval Augmented Large Language Models. CoRR abs/2310.04027 (2023) - [i41]Haoqiang Kang, Xiao-Yang Liu:
Deficiency of Large Language Models in Finance: An Empirical Examination of Hallucination. CoRR abs/2311.15548 (2023) - 2022
- [j51]Jia Yang, Cai Fu, Xiao-Yang Liu, Anwar Walid:
Recommendations in Smart Devices Using Federated Tensor Learning. IEEE Internet Things J. 9(11): 8425-8437 (2022) - [j50]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): 10996-11010 (2022) - [j49]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): 2224-2244 (2022) - [c54]Hao Hong, Weiqin Tong, Xiaoping Liu, Tao Zhang, Xiao-Yang Liu:
High Performance Single-Site Finite DMRG on GPUs. CAIBDA 2022: 1-5 - [c53]Xiao-Yang Liu, Zechu (Steven) Li, Xiaodong Wang:
Homomorphic Matrix Completion. NeurIPS 2022 - [c52]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 - [i40]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 abs/2209.05559 (2022) - 2021
- [j48]Tao Zhang, Wang Kan, Xiao-Yang Liu:
High performance GPU primitives for graph-tensor learning operations. J. Parallel Distributed Comput. 148: 125-137 (2021) - [j47]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): 2160 (2021) - [j46]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: 10336-10347 (2021) - [j45]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): 6371-6385 (2021) - [j44]Tianyu Geng, Xiao-Yang Liu, Xiaodong Wang, Guiling Sun:
Deep Shearlet Residual Learning Network for Single Image Super-Resolution. IEEE Trans. Image Process. 30: 4129-4142 (2021) - [j43]Xiao-Yang Liu, Xiaodong Wang:
Real-Time Indoor Localization for Smartphones Using Tensor-Generative Adversarial Nets. IEEE Trans. Neural Networks Learn. Syst. 32(8): 3433-3443 (2021) - [j42]Rui She, Pingyi Fan, Xiao-Yang Liu, Xiaodong Wang:
Interpretable Generative Adversarial Networks With Exponential Function. IEEE Trans. Signal Process. 69: 3854-3867 (2021) - [c51]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: 2100-2108 - [c50]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: 12085-12094 - [c49]Xiao-Yang Liu, Hongyang Yang, Jiechao Gao, Christina Dan Wang:
FinRL: deep reinforcement learning framework to automate trading in quantitative finance. ICAIF 2021: 1:1-1:9 - [c48]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: 48:1-48:9 - [c47]Mao Guan, Xiao-Yang Liu:
Explainable deep reinforcement learning for portfolio management: an empirical approach. ICAIF 2021: 50:1-50:9 - [c46]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: 427-438 - [i39]Fanjie Kong, Xiao-Yang Liu, Ricardo Henao:
Quantum Tensor Network in Machine Learning: An Application to Tiny Object Classification. CoRR abs/2101.03154 (2021) - [i38]Xiao-Yang Liu, Ming Zhu:
Convolutional Graph-Tensor Net for Graph Data Completion. CoRR abs/2103.04485 (2021) - [i37]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 abs/2104.05758 (2021) - [i36]Mao Guan, Xiao-Yang Liu:
Explainable Deep Reinforcement Learning for Portfolio Management: An Empirical Approach. CoRR abs/2111.03995 (2021) - [i35]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 abs/2111.05188 (2021) - [i34]Xiao-Yang Liu, Hongyang Yang, Jiechao Gao, Christina Dan Wang:
FinRL: Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance. CoRR abs/2111.09395 (2021) - [i33]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 abs/2112.05923 (2021) - [i32]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 abs/2112.06753 (2021) - 2020
- [j41]Tao Zhang, Han Lu, Xiao-Yang Liu:
High-Performance Homomorphic Matrix Completion on Multiple GPUs. IEEE Access 8: 25395-25406 (2020) - [j40]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): 45:1-45:13 (2020) - [j39]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): 247-260 (2020) - [j38]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): 2144-2153 (2020) - [j37]Peihao Yang, Linghe Kong, Xiao-Yang Liu, Xin Yuan, Guihai Chen:
Shearlet Enhanced Snapshot Compressive Imaging. IEEE Trans. Image Process. 29: 6466-6481 (2020) - [j36]Xiao-Yang Liu, Shuchin Aeron, Vaneet Aggarwal, Xiaodong Wang:
Low-Tubal-Rank Tensor Completion Using Alternating Minimization. IEEE Trans. Inf. Theory 66(3): 1714-1737 (2020) - [j35]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): 576-588 (2020) - [j34]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): 2797-2808 (2020) - [j33]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): 595-610 (2020) - [j32]Tao Zhang, Xiao-Yang Liu, Xiaodong Wang:
High Performance GPU Tensor Completion With Tubal-Sampling Pattern. IEEE Trans. Parallel Distributed Syst. 31(7): 1724-1739 (2020) - [c45]Xiaochen Han, Bo Wu, Zheng Shou, Xiao-Yang Liu, Yimeng Zhang, Linghe Kong:
Tensor FISTA-Net for Real-Time Snapshot Compressive Imaging. AAAI 2020: 10933-10940 - [c44]Liuqing Yang, Xiao-Yang Liu, Jeong Soo Kim:
Cloud-based Livestock Monitoring System Using RFID and Blockchain Technology. CSCloud/EdgeCom 2020: 240-245 - [c43]Hongyang Yang, Xiao-Yang Liu, Shan Zhong, Anwar Walid:
Deep reinforcement learning for automated stock trading: an ensemble strategy. ICAIF 2020: 31:1-31:8 - [c42]Qian Chen, Xiao-Yang Liu:
Quantifying ESG alpha using scholar big data: an automated machine learning approach. ICAIF 2020: 41:1-41:8 - [c41]Hongting Zhang, Pan Zhou, Qiben Yan, Xiao-Yang Liu:
Generating Robust Audio Adversarial Examples with Temporal Dependency. IJCAI 2020: 3167-3173 - [c40]Liuqing Yang, Xiao-Yang Liu, Wenbo Gong:
Secure Smart Home Systems: A Blockchain Perspective. INFOCOM Workshops 2020: 1003-1008 - [c39]Yimeng Zhang, Xiao-Yang Liu, Bo Wu, Anwar Walid:
Video Synthesis via Transform-Based Tensor Neural Network. ACM Multimedia 2020: 2454-2462 - [c38]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: 4070-4078 - [c37]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: 2201-2210 - [c36]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: 2775-2781 - [i31]Miao Yin, Siyu Liao, Xiao-Yang Liu, Xiaodong Wang, Bo Yuan:
Compressing Recurrent Neural Networks Using Hierarchical Tucker Tensor Decomposition. CoRR abs/2005.04366 (2020) - [i30]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 abs/2008.01403 (2020) - [i29]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 abs/2011.09607 (2020) - [i28]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 abs/2011.10254 (2020) - [i27]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 abs/2011.10331 (2020) - [i26]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 abs/2012.05499 (2020)
2010 – 2019
- 2019
- [j31]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: 972-986 (2019) - [j30]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): 2338-2353 (2019) - [j29]Kechen Zheng, Xiao-Yang Liu, Xiaoying Liu, Yihua Zhu:
Hybrid Overlay-Underlay Cognitive Radio Networks With Energy Harvesting. IEEE Trans. Commun. 67(7): 4669-4682 (2019) - [j28]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): 693-710 (2019) - [j27]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): 616-627 (2019) - [j26]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): 305-318 (2019) - [j25]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): 2871-2884 (2019) - [j24]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): 646-656 (2019) - [j23]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): 13:1-13:30 (2019) - [c35]Yunzhe Fang, Xiao-Yang Liu, Hongyang Yang:
Practical Machine Learning Approach to Capture the Scholar Data Driven Alpha in AI Industry. IEEE BigData 2019: 2230-2239 - [c34]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: 1619-1626 - [c33]Han Lu, Tao Zhang, Xiao-Yang Liu:
High-Performance Homomorphic Matrix Completion on GPUs. HPCC/SmartCity/DSS 2019: 1627-1634 - [c32]Tao Zhang, Xiao-Yang Liu:
Cutensor-tubal: Optimized GPU Library for Low-tubal-rank Tensors. ICASSP 2019: 8583-8587 - [c31]Songjie Liao, Xiao-Yang Liu, Feng Qian, Miao Yin, Guangmin Hu:
Tensor Super-resolution for Seismic Data. ICASSP 2019: 8598-8602 - [c30]Chunhua Deng, Miao Yin, Xiao-Yang Liu, Xiaodong Wang, Bo Yuan:
High-performance Hardware Architecture for Tensor Singular Value Decomposition: Invited Paper. ICCAD 2019: 1-6 - [c29]Jiawei Ma, Xiao-Yang Liu, Zheng Shou, Xin Yuan:
Deep Tensor ADMM-Net for Snapshot Compressive Imaging. ICCV 2019: 10222-10231 - [c28]Zihan Ding, Xiao-Yang Liu, Miao Yin, Linghe Kong:
Tensor Super-Resolution with Generative Adversarial Nets: A Large Image Generation Approach. HBAI@IJCAI 2019: 209-223 - [c27]Jiapeng Huang, Linghe Kong, Xiao-Yang Liu, Wenhao Qu, Guihai Chen:
A C++ Library for Tensor Decomposition. IPCCC 2019: 1-2 - [c26]Liuqing Yang, Xiao-Yang Liu, Xinyi Li, Yinchuan Li:
Price Prediction of Cryptocurrency: An Empirical Study. SmartBlock 2019: 130-139 - [i25]Zihan Ding, Xiao-Yang Liu, Miao Yin, Wei Liu, Linghe Kong:
TGAN: Deep Tensor Generative Adversarial Nets for Large Image Generation. CoRR abs/1901.09953 (2019) - [i24]Ming Zhu, Xiao-Yang Liu, Xiaodong Wang:
Deep Reinforcement Learning for Unmanned Aerial Vehicle-Assisted Vehicular Networks. CoRR abs/1906.05015 (2019) - [i23]Wenhang Bao, Xiao-Yang Liu:
Multi-Agent Deep Reinforcement Learning for Liquidation Strategy Analysis. CoRR abs/1906.11046 (2019) - [i22]Xinyi Li, Yinchuan Li, Xiao-Yang Liu, Christina Dan Wang:
Risk Management via Anomaly Circumvent: Mnemonic Deep Learning for Midterm Stock Prediction. CoRR abs/1908.01112 (2019) - [i21]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 abs/1910.09337 (2019) - [i20]Wenhang Bao, Xiao-Yang Liu:
Spatial Influence-aware Reinforcement Learning for Intelligent Transportation System. CoRR abs/1912.06880 (2019) - [i19]Xinyi Li, Yinchuan Li, Hongyang Yang, Liuqing Yang, Xiao-Yang Liu:
DP-LSTM: Differential Privacy-inspired LSTM for Stock Prediction Using Financial News. CoRR abs/1912.10806 (2019) - 2018
- [j22]Changle Li, Yuchuan Fu, Zhe Liu, Xiao-Yang Liu, Weijie Wu, Lei Xiong:
Spectrum Trading for Energy-Harvesting-Enabled Internet of Things in Harsh Environments. IEEE Access 6: 16712-16726 (2018) - [j21]Xiaoying Liu, Kechen Zheng, Xiao-Yang Liu, Xinbing Wang, Guojun Dai:
Towards Secure and Energy-Efficient CRNs Via Embracing Interference: A Stochastic Geometry Approach. IEEE Access 6: 36757-36770 (2018) - [j20]Xiao-Yang Liu, Xiaodong Wang:
LS-Decomposition for Robust Recovery of Sensory Big Data. IEEE Trans. Big Data 4(4): 542-555 (2018) - [j19]Ming Zhu, Xiao-Yang Liu, Xiaodong Wang:
Joint Transportation and Charging Scheduling in Public Vehicle Systems - A Game Theoretic Approach. IEEE Trans. Intell. Transp. Syst. 19(8): 2407-2419 (2018) - [j18]Jiaqi Liu, Luoyi Fu, Zhe Liu, Xiao-Yang Liu, Xinbing Wang:
Interest-Aware Information Diffusion in Evolving Social Networks. IEEE Trans. Wirel. Commun. 17(7): 4593-4606 (2018) - [c25]Fei Jiang, Xiao-Yang Liu, Hongtao Lu, Ruimin Shen:
Efficient Multi-Dimensional Tensor Sparse Coding Using t-Linear Combination. AAAI 2018: 3326-3333 - [c24]Fei Jiang, Xiao-Yang Liu, Hongtao Lu, Ruimin Shen:
Anisotropic Total Variation Regularized Low-Rank Tensor Completion Based On Tensor Nuclear Norm for Color Image Inpainting. ICASSP 2018: 1363-1367 - [c23]Cuiping Li, Yue Sun, Xiao-Yang Liu, Ying Li:
Tensor Subspace Detection with Tubal-Sampling and Elementwise-Sampling. ICASSP 2018: 4409-4413 - [c22]Chenxiao Zhu, Lingqing Xu, Xiao-Yang Liu, Feng Qian:
Tensor-Generative Adversarial Network with Two-Dimensional Sparse Coding: Application to Real-Time Indoor Localization. ICC 2018: 1-6 - [c21]Tao Deng, Feng Qian, Xiao-Yang Liu, Manyuan Zhang, Anwar Walid:
Tensor Sensing for Rf Tomographic Imaging. ICME 2018: 1-6 - [c20]Haotian Zhou, Xiao-Yang Liu, Cai Fu, Chen Shang, Xinyi Chang:
Differentially Private Matrix Completion via Distributed Matrix Factorization. TrustCom/BigDataSE 2018: 1628-1631 - [c19]Hongyang Yang, Xiao-Yang Liu, Qingwei Wu:
A Practical Machine Learning Approach for Dynamic Stock Recommendation. TrustCom/BigDataSE 2018: 1693-1697 - [i18]Xiao-Yang Liu:
Information Scaling Law of Deep Neural Networks. CoRR abs/1802.04473 (2018) - [i17]Weijun Lu, Xiao-Yang Liu, Qingwei Wu, Yue Sun, Anwar Walid:
Transform-Based Multilinear Dynamical System for Tensor Time Series Analysis. CoRR abs/1811.07342 (2018) - [i16]Zhuoran Xiong, Xiao-Yang Liu, Shan Zhong, Hongyang Yang, Anwar Walid:
Practical Deep Reinforcement Learning Approach for Stock Trading. CoRR abs/1811.07522 (2018) - [i15]Xiao-Yang Liu, Zihan Ding, Sem C. Borst, Anwar Walid:
Deep Reinforcement Learning for Intelligent Transportation Systems. CoRR abs/1812.00979 (2018) - 2017
- [j17]Riheng Jia, Jinbei Zhang, Peng Liu, Xiao-Yang Liu, Xiaoying Gan, Xinbing Wang:
Data Backlog Analysis in Energy Harvesting Communication Systems. IEEE Access 5: 5702-5712 (2017) - [j16]Deliang Xu, Cai Fu, Guohui Li, Deqing Zou, Honghao Zhang, Xiao-Yang Liu:
Virtualization of the Encryption Card for Trust Access in Cloud Computing. IEEE Access 5: 20652-20667 (2017) - [j15]Min Li, Cai Fu, Xiao-Yang Liu, Jia Yang, Tianqing Zhu, Lansheng Han:
Evolutionary virus immune strategy for temporal networks based on community vitality. Future Gener. Comput. Syst. 74: 276-290 (2017) - [j14]Fei Jiang, Huating Li, Xuhong Hou, Bin Sheng, Ruimin Shen, Xiao-Yang Liu, Weiping Jia, Ping Li, Ruogu Fang:
Abdominal adipose tissues extraction using multi-scale deep neural network. Neurocomputing 229: 23-33 (2017) - [j13]