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2020 – today
- 2024
[j56]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): 2795-2839 (2024)- [j55]Xiao-Yang Liu
, Qifan Huang, Xiaochen Han, Bo Wu, Linghe Kong, Anwar Walid, Xiaodong Wang:
Real-Time Decoding of Snapshot Compressive Imaging Using Tensor FISTA-Net. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13312-13326 (2024) - [c60]Xiao-Yang Liu, Jie Zhang, Guoxuan Wang, Weiqin Tong, Anwar Walid:
Efficient Pretraining and Finetuning of Quantized LLMs with Low-Rank Structure. ICDCS 2024: 300-311 - [c59]Jie Zhang, Weiqing Tong, Xiao-Yang Liu:
High-Performance Spectral Tensor Layer for Deep Neural Network. IDS 2024: 26-31 - [c58]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: 6236-6246 - [i54]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 abs/2402.07405 (2024) - [i53]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 abs/2402.12659 (2024) - [i52]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 abs/2402.13533 (2024) - [i51]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 abs/2403.13784 (2024) - [i50]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 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:
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications. CoRR abs/2408.11878 (2024) - [i49]Dannong Wang, Jintai Chen, Zhiding Liang, Tianfan Fu, Xiao-Yang Liu:
Quantum-inspired Reinforcement Learning for Synthesizable Drug Design. CoRR abs/2409.09183 (2024) - 2023
- [j54]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) - [j53]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) - [j52]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): 3010-3024 (2023) - [c57]Jeremy Johnston, Xiao-Yang Liu, Shixun Wu, Xiaodong Wang:
Downlink Beamforming Optimization via Deep Learning. Allerton 2023: 1-5 - [c56]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 - [c55]Xiao-Yang Liu, Zeliang Zhang:
Classical Simulation of Quantum Circuits: Parallel Environments and Benchmark. NeurIPS 2023 - [i48]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) - [i47]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) - [i46]Hongyang Yang, Xiao-Yang Liu, Christina Dan Wang:
FinGPT: Open-Source Financial Large Language Models. CoRR abs/2306.06031 (2023) - [i45]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) - [i44]Xiao-Yang Liu, Guoxuan Wang, Daochen Zha:
FinGPT: Democratizing Internet-scale Data for Financial Large Language Models. CoRR abs/2307.10485 (2023) - [i43]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) - [i42]Haoqiang Kang, Xiao-Yang Liu:
Deficiency of Large Language Models in Finance: An Empirical Examination of Hallucination. CoRR abs/2311.15548 (2023) - [i41]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 abs/2312.17493 (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]Linghe Kong, Bowen Wang, Xi Chen, Xue Liu, Xiao-Yang Liu, Jiadi Yu, Guangtao Xue, Guihai Chen:
Joint adaptation framework in mobile ad hoc networks: A control theory perspective. Neurocomputing 270: 66-74 (2017) - [j12]Xiaoying Liu, Kechen Zheng, Jun Zhao, Xiao-Yang Liu, Xinbing Wang, Xin Di:
Information-Centric Networks With Correlated Mobility. IEEE Trans. Veh. Technol. 66(5): 4256-4270 (2017) - [j11]Songjun Ma, Xiao-Yang Liu, Luoyi Fu, Xiaohua Tian, Xiaoying Gan, Xinbing Wang:
On the Greedy Resource Occupancy Threat in Dynamic Spectrum Access. IEEE Trans. Veh. Technol. 66(12): 11233-11248 (2017) - [c18]Cai Fu, Chenchen Peng, Xiao-Yang Liu:
Search engine drives the evolution of social networks. ACM TUR-C 2017: 49:1-49:5 - [c17]Keke Gai, Meikang Qiu, Yujun Li, Xiao-Yang Liu:
Advanced Fully Homomorphic Encryption Scheme Over Real Numbers. CSCloud 2017: 64-69 - [c16]Fei Jiang, Xiao-Yang Liu, Hongtao Lu, Ruimin Shen:
Graph regularized tensor sparse coding for image representation. ICME 2017: 67-72 - [c15]Jiaqi Liu, Yuhang Yao, Xinzhe Fu, Luoyi Fu, Xiao-Yang Liu, Xinbing Wang:
Evolving K-Graph: Modeling Hybrid Interactions in Networks. MobiHoc 2017: 29:1-29:2 - [i14]Cai Fu, Chenchen Peng, Xiao-Yang Liu:
Search Engine Drives the Evolution of Social Networks. CoRR abs/1703.05922 (2017) - [i13]Fei Jiang, Xiao-Yang Liu, Hongtao Lu, Ruimin Shen:
Graph Regularized Tensor Sparse Coding for Image Representation. CoRR abs/1703.09342 (2017) - [i12]Fei Jiang, Xiao-Yang Liu, Hongtao Lu, Ruimin Shen:
Efficient Two-Dimensional Sparse Coding Using Tensor-Linear Combination. CoRR abs/1703.09690 (2017) - [i11]Feng Qian, Quan Chen, Mingjun Su, Guangmin Hu, Xiao-Yang Liu:
Exact 3D seismic data reconstruction using Tubal-Alt-Min algorithm. CoRR abs/1704.02445 (2017) - [i10]Mingjun Su, Jingbo Chang, Feng Qian, Guangmin Hu, Xiao-Yang Liu:
3D seismic data denoising using two-dimensional sparse coding scheme. CoRR abs/1704.04429 (2017) - [i9]Xiao-Yang Liu, Xiaodong Wang:
Fourth-order Tensors with Multidimensional Discrete Transforms. CoRR abs/1705.01576 (2017) - [i8]Cuiping Li, Xiao-Yang Liu, Yue Sun:
Tensor Matched Subspace Detection. CoRR abs/1710.08308 (2017) - [i7]Chenxiao Zhu, Lingqing Xu, Xiao-Yang Liu, Feng Qian:
Tensor-Generative Adversarial Network with Two-dimensional Sparse Coding: Application to Real-time Indoor Localization. CoRR abs/1711.02666 (2017) - [i6]Tao Deng, Xiao-Yang Liu, Feng Qian, Anwar Walid:
Multidimensional Data Tensor Sensing for RF Tomographic Imaging. CoRR abs/1712.04919 (2017) - [i5]Ming Zhu, Xiao-Yang Liu, Xiaodong Wang:
Joint Transportation and Charging Scheduling in Public Vehicle Systems - A Game Theoretic Approach. CoRR abs/1712.07947 (2017) - [i4]Ming Zhu, Xiao-Yang Liu, Xiaodong Wang:
An Online Ride-Sharing Path Planning Strategy for Public Vehicle Systems. CoRR abs/1712.09356 (2017) - 2016
- [j10]Linghe Kong, Qiao Xiang, Xue Liu, Xiao-Yang Liu, Xiaofeng Gao, Guihai Chen, Min-You Wu:
ICP: Instantaneous clustering protocol for wireless sensor networks. Comput. Networks 101: 144-157 (2016) - [j9]Ming Zhu, Xiao-Yang Liu, Meikang Qiu, Ruimin Shen, Wei Shu, Min-You Wu:
Transfer Problem in a Cloud-based Public Vehicle System with Sustainable Discomfort. Mob. Networks Appl. 21(5): 890-900 (2016) - [j8]Ming Zhu, Xiao-Yang Liu, Feilong Tang, Meikang Qiu, Ruimin Shen, Wei Wennie Shu, Min-You Wu:
Public Vehicles for Future Urban Transportation. IEEE Trans. Intell. Transp. Syst. 17(12): 3344-3353 (2016) - [j7]Xiao-Yang Liu, Shuchin Aeron, Vaneet Aggarwal, Xiaodong Wang, Min-You Wu:
Adaptive Sampling of RF Fingerprints for Fine-Grained Indoor Localization. IEEE Trans. Mob. Comput. 15(10): 2411-2423 (2016) - [c14]Xiao-Yang Liu, Shuchin Aeron, Vaneet Aggarwal, Xiaodong Wang, Min-You Wu:
Tensor completion via adaptive sampling of tensor fibers: Application to efficient indoor RF fingerprinting. ICASSP 2016: 2529-2533 - [c13]Yao Xie, Xiao-Yang Liu, Linghe Kong, Fan Wu, Guihai Chen, Athanasios V. Vasilakos:
Drone-Based Wireless Relay Using Online Tensor Update. ICPADS 2016: 48-55 - [c12]Yifeng Cao, Xiao-Yang Liu, Linghe Kong, Min-You Wu, Muhammad Khurram Khan:
EHR: Routing Protocol for Energy Harvesting Wireless Sensor Networks. ICPADS 2016: 56-63 - [c11]Ming Zhu, Xiao-Yang Liu, Meikang Qiu, Ruimin Shen, Wei Shu, Min-You Wu:
Traffic big data based path planning strategy in public vehicle systems. IWQoS 2016: 1-2 - [i3]Xiao-Yang Liu, Shuchin Aeron, Vaneet Aggarwal, Xiaodong Wang:
Low-tubal-rank Tensor Completion using Alternating Minimization. CoRR abs/1610.01690 (2016) - 2015
- [j6]Linghe Kong, Xiao-Yang Liu, Meixia Tao, Min-You Wu, Yu Gu, Long Cheng, Jianwei Niu:
Resource-Efficient Data Gathering in Sensor Networks for Environment Reconstruction. Comput. J. 58(6): 1330-1343 (2015) - [j5]Xiao-Yang Liu, Yanmin Zhu, Linghe Kong, Cong Liu, Yu Gu, Athanasios V. Vasilakos, Min-You Wu:
CDC: Compressive Data Collection for Wireless Sensor Networks. IEEE Trans. Parallel Distributed Syst. 26(8): 2188-2197 (2015) - [c10]Jia Yang, Cai Fu, Deliang Xu, Lansheng Han, Xiao-Yang Liu:
Search Engine: A Hidden Power for Virus Propagation in Community Networks. CSCloud 2015: 87-92 - [c9]Ming Zhu, Linghe Kong, Xiao-Yang Liu, Ruimin Shen, Wei Shu, Min-You Wu:
A Public Vehicle System with Multiple Origin-Destination Pairs on Traffic Networks. GLOBECOM 2015: 1-6 - [c8]Linghe Kong, Liang He, Xiao-Yang Liu, Yu Gu, Min-You Wu, Xue Liu:
Privacy-Preserving Compressive Sensing for Crowdsensing Based Trajectory Recovery. ICDCS 2015: 31-40 - [i2]Xiao-Yang Liu, Shuchin Aeron, Vaneet Aggarwal, Xiaodong Wang, Min-You Wu:
Fine-grained Indoor Localization with Adaptively Sampled RF Fingerprints. CoRR abs/1508.02324 (2015) - [i1]Xiao-Yang Liu, Xiaodong Wang, Linghe Kong, Meikang Qiu, Min-You Wu:
An LS-Decomposition Approach for Robust Data Recovery in Wireless Sensor Networks. CoRR abs/1509.03723 (2015) - 2014
- [j4]Linghe Kong, Ming-Chen Zhao, Xiao-Yang Liu, Jialiang Lu, Yunhuai Liu, Min-You Wu, Wei Shu:
Surface Coverage in Sensor Networks. IEEE Trans. Parallel Distributed Syst. 25(1): 234-243 (2014) - [j3]Linghe Kong, Mingyuan Xia, Xiao-Yang Liu, Guangshuo Chen, Yu Gu, Min-You Wu, Xue Liu:
Data Loss and Reconstruction in Wireless Sensor Networks. IEEE Trans. Parallel Distributed Syst. 25(11): 2818-2828 (2014) - [c7]Guangshuo Chen, Xiao-Yang Liu, Linghe Kong, Jialiang Lu, Min-You Wu:
Multi-attribute compressive data gathering. WCNC 2014: 2178-2183 - [c6]Ming Zhu, Xiao-Yang Liu, Linghe Kong, Ruimin Shen, Wei Shu, Min-You Wu:
The charging-scheduling problem for electric vehicle networks. WCNC 2014: 3178-3183 - 2013
- [j2]Xiao-Yang Liu, Kai-Liang Wu, Yanmin Zhu, Linghe Kong, Min-You Wu:
Mobility increases the surface coverage of distributed sensor networks. Comput. Networks 57(11): 2348-2363 (2013) - [c5]Guangshuo Chen, Xiao-Yang Liu, Linghe Kong, Jialiang Lu, Yu Gu, Wei Shu, Min-You Wu:
Multiple attributes-based data recovery in wireless sensor networks. GLOBECOM 2013: 103-108 - [c4]Linghe Kong, Mingyuan Xia, Xiao-Yang Liu, Min-You Wu, Xue Liu:
Data loss and reconstruction in sensor networks. INFOCOM 2013: 1654-1662 - [c3]Ting Cao, Xinchao Zhang, Linghe Kong, Xiao-Yang Liu, Wei Shu, Min-You Wu:
Traffic Aware Routing in urban vehicular networks. WCNC 2013: 2004-2009 - [c2]Guangshuo Chen, Xiao-Yang Liu, Linghe Kong, Jialiang Lu, Wei Shu, Min-You Wu:
JSSDR: Joint-Sparse Sensory Data Recovery in wireless sensor networks. WiMob 2013: 367-374 - 2011
- [j1]Cai Fu, Liu Ming, Chen Jing, Zhang Li, Xiao-Yang Liu:
A Projection Pursuit Based Risk Assessment Method in Mobile Ad hoc Networks. Int. J. Comput. Intell. Syst. 4(5): 749-758 (2011)
2000 – 2009
- 2005
- [c1]Yi-Jin Chen, Xiao-Yang Liu, Xiao-Wen Liang:
The key problem study of the intelligent decision for remote image classification supported by GIS. IGARSS 2005: 3811-3813
Coauthor Index
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