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2020 – today
- 2026
[i3]Fan Xu, Wei Gong, Hao Wu, Lilan Peng, Nan Wang, Qingsong Wen, Xian Wu, Kun Wang, Xibin Zhao:
Advanced Global Wildfire Activity Modeling with Hierarchical Graph ODE. CoRR abs/2601.01501 (2026)- 2025
- [j7]Yu Tang, Lilan Peng, Zhendong Wu, Jie Hu, Pengfei Zhang
, Hongchun Lu:
FAHC: frequency adaptive hypergraph constraint for collaborative filtering. Appl. Intell. 55(3): 242 (2025) - [j6]Pengfei Zhang, Yuxin Zhao, Lvhui Hu, Dexian Wang, Lilan Peng, Zhong Li, Herwig Unger, Tianrui Li:
I2QD: Unsupervised feature selection via information quality, quantity, and difference degree. Inf. Process. Manag. 62(5): 104173 (2025) - [j5]Lilan Peng, Chongshou Li, Wuyang Zhang, Weijie Yu, Tianrui Li:
Learning dynamic and multi-scale graph structure for traffic demand prediction. Int. J. Mach. Learn. Cybern. 16(5-6): 3177-3191 (2025) - [j4]Jie Hu, Taichuan Zheng, Lilan Peng, Fei Teng, Shengdong Du, Tianrui Li:
LightST: A Simplifying Spatio-Temporal Graph Neural Network for Traffic Flow Forecasting. IEEE Trans. Big Data 11(5): 2517-2528 (2025) - [i2]Liang Lin, Miao Yu, Kaiwen Luo, Yibo Zhang, Lilan Peng, Dexian Wang, Xuehai Tang, Yuanhe Zhang, Xikang Yang, Zhenhong Zhou, Kun Wang, Yang Liu:
Hidden in the Noise: Unveiling Backdoors in Audio LLMs Alignment through Latent Acoustic Pattern Triggers. CoRR abs/2508.02175 (2025) - [i1]Fan Xu, Hao Wu, Nan Wang, Lilan Peng, Kun Wang, Wei Gong, Xibin Zhao:
Breaking the Discretization Barrier of Continuous Physics Simulation Learning. CoRR abs/2509.17955 (2025) - 2024
- [j3]Lilan Peng, Xuehua Liao, Tianrui Li, Xiangyu Guo, Xiu Wang:
An Overview Based on the Overall Architecture of Traffic Forecasting. Data Sci. Eng. 9(3): 341-359 (2024) - [j2]Yuyan Wang, Jie Hu, Fei Teng, Lilan Peng, Shengdong Du, Tianrui Li:
KaTaGCN: Knowledge-Augmented and Time-Aware Graph Convolutional Network for efficient traffic forecasting. Inf. Fusion 111: 102542 (2024) - [j1]Xuehua Liao, Lilan Peng, Ting Yang, Tianrui Li, Zhousen Zhu:
Redis-based full-text search extensions for relational databases. Int. J. Mach. Learn. Cybern. 15(10): 4475-4491 (2024) - [c3]Qingyun Lin, Wenlin He, Qian Zhang, Zihan Peng, Zhendong Wu, Lilan Peng:
WGLora: Efficient fine-tuning method integrating weights and gradient low-rank adaptation. ICCBN 2024: 108-114 - 2023
- [c2]Lilan Peng, Xiu Wang, Hongchun Lu, Xiangyu Guo, Tianrui Li, Shenggong Ji:
Dynamic Spatio-Temporal Multi-Scale Representation for Bus Ridership Prediction. IJCNN 2023: 1-9 - 2022
- [c1]Zhehao Zhang, Xiaobo Zhang, Dengmin Wen, Lilan Peng, Yuxin Zhou:
A Novel Semi-supervised Neural Network for Recognizing Parkinson's Disease. PAKDD (1) 2022: 118-130
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