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Journal Articles
- 2024
[j6]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): 1075-1090 (2024)- [j5]Jeremiah Blocki, Peiyuan Liu, Ling Ren, Samson Zhou:
Bandwidth-Hard Functions: Reductions and Lower Bounds. J. Cryptol. 37(2): 16 (2024) - 2023
- [j4]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): 56-62 (2023) - [j3]Shuonan Shan, Jingwen Li, Peiyuan Liu, Qiaolin Li, Xiaohao Wang, Xinghui Li:
A Microlens Array Grating for Miniature Multi-Channel Spectrometers. Sensors 23(20): 8381 (2023) - [j2]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): 15844-15854 (2023) - 2021
- [j1]Shuai Zhang, Lei Sun, Xiuqing Mao, Cuiyun Hu, Peiyuan Liu:
Review on EEG-Based Authentication Technology. Comput. Intell. Neurosci. 2021: 5229576:1-5229576:20 (2021)
Conference and Workshop Papers
- 2024
- [c8]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 - [c7]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: 5960-5964 - [c6]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 - 2023
- [c5]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: 722-735 - [c4]Jeremiah Blocki, Peiyuan Liu:
Towards a Rigorous Statistical Analysis of Empirical Password Datasets. SP 2023: 606-625 - [c3]Peiyuan Liu, Jeremiah Blocki, Wenjie Bai:
Confident Monte Carlo: Rigorous Analysis of Guessing Curves for Probabilistic Password Models. SP 2023: 626-644 - 2015
- [c2]Zhen Ju, Peiyuan Liu, Weijia Xue, Daoguang Mu, Xuejia Lai:
On the equivalence of LBlock and TWINE in structure. ChinaCom 2015: 289-294 - 2014
- [c1]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: 1-8
Informal and Other Publications
- 2024
- [i9]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 abs/2403.07300 (2024) - [i8]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 abs/2406.02212 (2024) - [i7]Yifan Hu, Peiyuan Liu, Peng Zhu, Dawei Cheng, Tao Dai:
Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting. CoRR abs/2406.03751 (2024) - [i6]Peiyuan Liu, Beiliang Wu, Yifan Hu, Naiqi Li, Tao Dai, Jigang Bao, Shu-Tao Xia:
TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting. CoRR abs/2410.04442 (2024) - [i5]Peiyuan Liu, Tian Zhou, Liang Sun, Rong Jin:
Mitigating Time Discretization Challenges with WeatherODE: A Sandwich Physics-Driven Neural ODE for Weather Forecasting. CoRR abs/2410.06560 (2024) - 2023
- [i4]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 abs/2302.07676 (2023) - [i3]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 abs/2309.01386 (2023) - [i2]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 abs/2309.11319 (2023) - 2021
- [i1]Jeremiah Blocki, Peiyuan Liu:
Towards a Rigorous Statistical Analysis of Empirical Password Datasets. CoRR abs/2105.14170 (2021)
Coauthor Index
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