Lilan Peng

According to our database, Lilan Peng authored at least 17 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Plan in Sandbox, Navigate in Open Worlds: Learning Physics-Grounded Abstracted Experience for Embodied Navigation.

Zhixuan Shen, Jiawei Du, Ziyu Guo, Han Luo, Lilan Peng, Joey Tianyi Zhou, Haonan Luo, Tianrui Li

CoRR, May, 2026

In-Depth Understanding of Crime Dynamics via Space-Time-Context-Aware Tensor Decomposition.

Weichao Liang, Guangliang Gao, Lei Chen, Haicheng Tao, Lilan Peng, Fengmao Lv, Tianrui Li

IEEE Trans. Comput. Soc. Syst., April, 2026

ProjLens: Unveiling the Role of Projectors in Multimodal Model Safety.

Kun Wang, Cheng Qian, Miao Yu, Lilan Peng, Liang Lin, Jiaming Zhang, Tianyu Zhang, Yu Cheng, Yang Wang

CoRR, April, 2026

Advanced Global Wildfire Activity Modeling with Hierarchical Graph ODE.

Fan Xu, Wei Gong, Hao Wu, Lilan Peng, Nan Wang, Qingsong Wen, Xian Wu, Kun Wang, Xibin Zhao

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

Hidden in the Noise: Unveiling Backdoors in Audio LLMs Alignment Through Latent Acoustic Pattern Triggers.

Liang Lin, Miao Yu, Kaiwen Luo, Yibo Zhang, Lilan Peng, Dexian Wang, Xuehai Tang, Yuanhe Zhang, Xikang Yang, Zhenhong Zhou, Kun Wang, Yang Liu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

LightST: A Simplifying Spatio-Temporal Graph Neural Network for Traffic Flow Forecasting.

Jie Hu, Taichuan Zheng, Lilan Peng, Fei Teng, Shengdong Du, Tianrui Li

IEEE Trans. Big Data, October, 2025

Breaking the Discretization Barrier of Continuous Physics Simulation Learning.

Fan Xu, Hao Wu, Nan Wang, Lilan Peng, Kun Wang, Wei Gong, Xibin Zhao

CoRR, September, 2025

Learning dynamic and multi-scale graph structure for traffic demand prediction.

Lilan Peng, Chongshou Li, Wuyang Zhang, Weijie Yu, Tianrui Li

Int. J. Mach. Learn. Cybern., June, 2025

FAHC: frequency adaptive hypergraph constraint for collaborative filtering.

Yu Tang, Lilan Peng, Zhendong Wu, Jie Hu, Pengfei Zhang, Hongchun Lu

Appl. Intell., February, 2025

I2QD: Unsupervised feature selection via information quality, quantity, and difference degree.

Pengfei Zhang, Yuxin Zhao, Lvhui Hu, Dexian Wang, Lilan Peng, Zhong Li, Herwig Unger, Tianrui Li

Inf. Process. Manag., 2025

Breaking the Discretization Barrier of Continuous Physics Simulation Learning.

Fan Xu, Hao Wu, Nan Wang, Lilan Peng, Kun Wang, Wei Gong, Xibin Zhao

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Redis-based full-text search extensions for relational databases.

Xuehua Liao, Lilan Peng, Ting Yang, Tianrui Li, Zhousen Zhu

Int. J. Mach. Learn. Cybern., October, 2024

An Overview Based on the Overall Architecture of Traffic Forecasting.

Lilan Peng, Xuehua Liao, Tianrui Li, Xiangyu Guo, Xiu Wang

Data Sci. Eng., September, 2024

KaTaGCN: Knowledge-Augmented and Time-Aware Graph Convolutional Network for efficient traffic forecasting.

Yuyan Wang, Jie Hu, Fei Teng, Lilan Peng, Shengdong Du, Tianrui Li

Inf. Fusion, 2024

WGLora: Efficient fine-tuning method integrating weights and gradient low-rank adaptation.

Qingyun Lin, Wenlin He, Qian Zhang, Zihan Peng, Zhendong Wu, Lilan Peng

Proceedings of the 2024 12th International Conference on Communications and Broadband Networking, 2024

2023

Dynamic Spatio-Temporal Multi-Scale Representation for Bus Ridership Prediction.

Lilan Peng, Xiu Wang, Hongchun Lu, Xiangyu Guo, Tianrui Li, Shenggong Ji

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

A Novel Semi-supervised Neural Network for Recognizing Parkinson's Disease.

Zhehao Zhang, Xiaobo Zhang, Dengmin Wen, Lilan Peng, Yuxin Zhou

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022