POLA: A privacy-preserving protocol for location-based real-time advertising. - Yiming Pang; Yichen Chen; Peiyuan Liu; Fudong Qiu; Fan Wu 006; Guihai Chen (IPCCC, 2014)

On the equivalence of LBlock and TWINE in structure. - Zhen Ju; Peiyuan Liu; Weijia Xue; Daoguang Mu; Xuejia Lai (ChinaCom, 2015)

Review on EEG-Based Authentication Technology. - Shuai Zhang; Lei Sun; Xiuqing Mao; Cuiyun Hu; Peiyuan Liu (Comput. Intell. Neurosci., 2021)

Output-correlated adversarial attack for image translation network. - Peiyuan Liu; Lei Sun; Xiuqing Mao (J. Electronic Imaging, 2022)

Using bilateral filtering and autoencoder to defend against adversarial attacks for object detection. - Xiaoqin Wang; Lei Sun; Xiuqing Mao; Youhuan Yang; Peiyuan Liu (J. Electronic Imaging, 2022)

Leopard: A Black-Box Approach for Efficiently Verifying Various Isolation Levels. - Keqiang Li; Siyang Weng; Peiyuan Liu; Lyu Ni; Chengcheng Yang; Rong Zhang 002; Xuan Zhou 001; Jianghang Lou; Gui Huang; Weining Qian; Aoying Zhou (ICDE, 2023)

Towards a Rigorous Statistical Analysis of Empirical Password Datasets. - Jeremiah Blocki; Peiyuan Liu (SP, 2023)

Confident Monte Carlo: Rigorous Analysis of Guessing Curves for Probabilistic Password Models. - Peiyuan Liu; Jeremiah Blocki; Wenjie Bai (SP, 2023)

A Microlens Array Grating for Miniature Multi-Channel Spectrometers. - Shuonan Shan; Jingwen Li; Peiyuan Liu; Qiaolin Li; Xiaohao Wang; Xinghui Li (Sensors, 2023)

SemProtector: A Unified Framework for Semantic Protection in Deep Learning-based Semantic Communication Systems. - Xinghan Liu; Guoshun Nan; Qimei Cui; Zeju Li; Peiyuan Liu; Zebin Xing; Hanqing Mu; Xiaofeng Tao; Tony Q. S. Quek (IEEE Commun. Mag., 2023)

3D Vehicle Object Tracking Algorithm Based on Bounding Box Similarity Measurement. - Xin Cheng 003; Jingmei Zhou; Peiyuan Liu; Xiangmo Zhao; Hongfei Wang (IEEE Trans. Intell. Transp. Syst., 2023)

Leopard: A General Test Suite for Isolation Level Verification. - Peiyuan Liu; Siyang Weng; Keqiang Li; Lyu Ni; Chengcheng Yang; Rong Zhang 002; Weining Qian; Dian Qiao (CIDR, 2024)

WFTNet: Exploiting Global and Local Periodicity in Long-Term Time Series Forecasting. - Peiyuan Liu; Beiliang Wu; Naiqi Li; Tao Dai 001; Fengmao Lei; Jigang Bao; Yong Jiang 001; Shu-Tao Xia (ICASSP, 2024)

Periodicity Decoupling Framework for Long-term Series Forecasting. - Tao Dai 001; Beiliang Wu; Peiyuan Liu; Naiqi Li; Jigang Bao; Yong Jiang 001; Shu-Tao Xia (ICLR, 2024)

DDN: Dual-domain Dynamic Normalization for Non-stationary Time Series Forecasting. - Tao Dai 001; Beiliang Wu; Peiyuan Liu; Naiqi Li; Xue Yuerong; Shu-Tao Xia; Zexuan Zhu (NeurIPS, 2024)

Taming Pre-trained LLMs for Generalised Time Series Forecasting via Cross-modal Knowledge Distillation. - Peiyuan Liu; Hang Guo; Tao Dai 001; Naiqi Li; Jigang Bao; Xudong Ren; Yong Jiang 001; Shu-Tao Xia (CoRR, 2024)

Generative Pre-Trained Diffusion Paradigm for Zero-Shot Time Series Forecasting. - Jiarui Yang; Tao Dai 001; Naiqi Li; Junxi Wu; Peiyuan Liu; Jinmin Li; Jigang Bao; Haigang Zhang; Shutao Xia (CoRR, 2024)

TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting. - Peiyuan Liu; Beiliang Wu; Yifan Hu; Naiqi Li; Tao Dai 001; Jigang Bao; Shu-Tao Xia (CoRR, 2024)

Mitigating Time Discretization Challenges with WeatherODE: A Sandwich Physics-Driven Neural ODE for Weather Forecasting. - Peiyuan Liu; Tian Zhou 004; Liang Sun 001; Rong Jin 001 (CoRR, 2024)

DIVOTrack: A Novel Dataset and Baseline Method for Cross-View Multi-Object Tracking in DIVerse Open Scenes. - Shengyu Hao; Peiyuan Liu; Yibing Zhan; Kaixun Jin; Zuozhu Liu; Mingli Song; Jenq-Neng Hwang; Gaoang Wang (Int. J. Comput. Vis., 2024)

Bandwidth-Hard Functions: Reductions and Lower Bounds. - Jeremiah Blocki; Peiyuan Liu; Ling Ren 001; Samson Zhou (J. Cryptol., 2024)

Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting. - Yifan Hu; Peiyuan Liu; Peng Zhu; Dawei Cheng; Tao Dai 001 (AAAI, 2025)

CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning. - Peiyuan Liu; Hang Guo; Tao Dai 001; Naiqi Li; Jigang Bao; Xudong Ren; Yong Jiang 001; Shu-Tao Xia (AAAI, 2025)

MERA: Mixture of Experts with Retrieval-Augmented Representation for Modeling Diversified Stock Patterns. - YuJun Liu; Chen-Hui Song; Peiyuan Liu; Naiqi Li; Tao Dai 001; Jigang Bao; Yong Jiang 001; Shu-Tao Xia (WWW (Companion Volume), 2025)

TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting. - Yifan Hu; Guibin Zhang; Peiyuan Liu; Disen Lan; Naiqi Li; Dawei Cheng; Tao Dai 001; Shu-Tao Xia; Shirui Pan (CoRR, 2025)

FinMamba: Market-Aware Graph Enhanced Multi-Level Mamba for Stock Movement Prediction. - Yifan Hu; Peiyuan Liu; Yuante Li; Dawei Cheng; Naiqi Li; Tao Dai 001; Jigang Bao; Shu-Tao Xia (CoRR, 2025)

FinTSB: A Comprehensive and Practical Benchmark for Financial Time Series Forecasting. - Yifan Hu; Yuante Li; Peiyuan Liu; Yuxia Zhu; Naiqi Li; Tao Dai 001; Shutao Xia; Dawei Cheng; Changjun Jiang (CoRR, 2025)

Embodied Escaping: End-to-End Reinforcement Learning for Robot Navigation in Narrow Environment. - Han Zheng; Jiale Zhang; Mingyang Jiang; Peiyuan Liu; Danni Liu; Tong Qin 001; Ming Yang 002 (CoRR, 2025)

Efficient Differentiable Approximation of Generalized Low-rank Regularization. - Naiqi Li; Yuqiu Xie; Peiyuan Liu; Tao Dai 001; Yong Jiang 001; Shu-Tao Xia (CoRR, 2025)

Logic-of-Thought: Empowering Large Language Models with Logic Programs for Solving Puzzles in Natural Language. - Naiqi Li; Peiyuan Liu; Zheng Liu; Tao Dai 001; Yong Jiang 001; Shu-Tao Xia (CoRR, 2025)

TriForecaster: A Mixture of Experts Framework for Multi-Region Electric Load Forecasting with Tri-dimensional Specialization. - Zhaoyang Zhu; Zhipeng Zeng; Qiming Chen; Linxiao Yang; Peiyuan Liu; Weiqi Chen; Liang Sun 001 (CoRR, 2025)