Peiyuan Liu

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 20

Top Topics

Statistical Analysis

Multi Object Tracking

Top Venues

Comput. Intell. Neurosci.

Publications

Tao Dai, Beiliang Wu, Peiyuan Liu, Naiqi Li, Jigang Bao, Yong Jiang, Shu-Tao Xia
Periodicity Decoupling Framework for Long-term Series Forecasting. ICLR (2024)
Peiyuan Liu, Siyang Weng, Keqiang Li, Lyu Ni, Chengcheng Yang, Rong Zhang, Weining Qian, Dian Qiao
Leopard: A General Test Suite for Isolation Level Verification. CIDR (2024)
Jeremiah Blocki, Peiyuan Liu, Ling Ren, Samson Zhou
Bandwidth-Hard Functions: Reductions and Lower Bounds. J. Cryptol. 37 (2) (2024)
Yifan Hu, Peiyuan Liu, Peng Zhu, Dawei Cheng, Tao Dai
Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting. CoRR (2024)
Jiarui Yang, Tao Dai, Naiqi Li, Junxi Wu, Peiyuan Liu, Jinmin Li, Jigang Bao, Haigang Zhang, Shutao Xia
Generative Pre-Trained Diffusion Paradigm for Zero-Shot Time Series Forecasting. CoRR (2024)
Peiyuan Liu, Hang Guo, Tao Dai, Naiqi Li, Jigang Bao, Xudong Ren, Yong Jiang, Shu-Tao Xia
Taming Pre-trained LLMs for Generalised Time Series Forecasting via Cross-modal Knowledge Distillation. CoRR (2024)
Shengyu Hao, Peiyuan Liu, Yibing Zhan, Kaixun Jin, Zuozhu Liu, Mingli Song, Jenq-Neng Hwang, Gaoang Wang
DIVOTrack: A Novel Dataset and Baseline Method for Cross-View Multi-Object Tracking in DIVerse Open Scenes. Int. J. Comput. Vis. 132 (4) (2024)
Peiyuan Liu, Beiliang Wu, Naiqi Li, Tao Dai, Fengmao Lei, Jigang Bao, Yong Jiang, Shu-Tao Xia
WFTNet: Exploiting Global and Local Periodicity in Long-Term Time Series Forecasting. ICASSP (2024)
Peiyuan Liu, Beiliang Wu, Naiqi Li, Tao Dai, Fengmao Lei, Jigang Bao, Yong Jiang, Shu-Tao Xia
WFTNet: Exploiting Global and Local Periodicity in Long-term Time Series Forecasting. CoRR (2023)
Xinghan Liu, Guoshun Nan, Qimei Cui, Zeju Li, Peiyuan Liu, Zebin Xing, Hanqing Mu, Xiaofeng Tao, Tony Q. S. Quek
SemProtector: A Unified Framework for Semantic Protection in Deep Learning-based Semantic Communication Systems. IEEE Commun. Mag. 61 (11) (2023)
Jeremiah Blocki, Peiyuan Liu
Towards a Rigorous Statistical Analysis of Empirical Password Datasets. SP (2023)
Xinghan Liu, Guoshun Nan, Qimei Cui, Zeju Li, Peiyuan Liu, Zebin Xing, Hanqing Mu, Xiaofeng Tao, Tony Q. S. Quek
SemProtector: A Unified Framework for Semantic Protection in Deep Learning-based Semantic Communication Systems. CoRR (2023)
Shuonan Shan, Jingwen Li, Peiyuan Liu, Qiaolin Li, Xiaohao Wang, Xinghui Li
A Microlens Array Grating for Miniature Multi-Channel Spectrometers. Sensors 23 (20) (2023)
Peiyuan Liu, Jeremiah Blocki, Wenjie Bai
Confident Monte Carlo: Rigorous Analysis of Guessing Curves for Probabilistic Password Models. SP (2023)
Xin Cheng, Jingmei Zhou, Peiyuan Liu, Xiangmo Zhao, Hongfei Wang
3D Vehicle Object Tracking Algorithm Based on Bounding Box Similarity Measurement. IEEE Trans. Intell. Transp. Syst. 24 (12) (2023)
Keqiang Li, Siyang Weng, Peiyuan Liu, Lyu Ni, Chengcheng Yang, Rong Zhang, Xuan Zhou, Jianghang Lou, Gui Huang, Weining Qian, Aoying Zhou
Leopard: A Black-Box Approach for Efficiently Verifying Various Isolation Levels. ICDE (2023)
Shenghao Hao, Peiyuan Liu, Yibing Zhan, Kaixun Jin, Zuozhu Liu, Mingli Song, Jenq-Neng Hwang, Gaoang Wang
DIVOTrack: A Novel Dataset and Baseline Method for Cross-View Multi-Object Tracking in DIVerse Open Scenes. CoRR (2023)
Jeremiah Blocki, Peiyuan Liu
Towards a Rigorous Statistical Analysis of Empirical Password Datasets. CoRR (2021)
Shuai Zhang, Lei Sun, Xiuqing Mao, Cuiyun Hu, Peiyuan Liu
Review on EEG-Based Authentication Technology. Comput. Intell. Neurosci. 2021 (2021)
Zhen Ju, Peiyuan Liu, Weijia Xue, Daoguang Mu, Xuejia Lai
On the equivalence of LBlock and TWINE in structure. ChinaCom (2015)
Yiming Pang, Yichen Chen, Peiyuan Liu, Fudong Qiu, Fan Wu, Guihai Chen
POLA: A privacy-preserving protocol for location-based real-time advertising. IPCCC (2014)