Disen Lan (蓝迪森)

Incoming Ph.D. Student
School of Computer Science
Fudan University
Email: disenlan1002 AT gmail DOT com

About Me

I am a final year undergraduate student majoring in computer science at the School of Computer Science & Engineering, South China University of Technology, and an incoming Ph.D. in the School of Computer Science and Artificial Intelligence at Fudan University for 2025 fall intake, advised by Prof. Yu Cheng and Prof. Xipeng Qiu.

My research interests focus on Efficient (Multi-modal) Large Language Models for sequence modeling, understanding, reasoning and generation.

Liger: Linearizing Large Language Models to Gated Recurrent Structures
Disen Lan, Weigao Sun, Jiaxi Hu, Jusen Du, Yu Cheng
International Conference on Machine Learning (ICML), 2025

Linear-MoE: Linear Sequence Modeling Meets Mixture-of-Experts
Weigao Sun, Disen Lan, Tong Zhu, Xiaoye Qu, Yu Cheng
International Conference on Learning Representations (ICLR) on SCOPE Workshop, 2025
Oral Presentation & Outstanding Paper Honorable Mention 🏆

LASP-2: Rethinking Sequence Parallelism for Linear Attention and Its Hybrid
Weigao Sun, Disen Lan, Yiran Zhong, Xiaoye Qu, Yu Cheng
arXiv Preprint

MoM: Linear Sequence Modeling with Mixture-of-Memories
Jusen Du, Weigao Sun, Disen Lan, Jiaxi Hu, Yu Cheng
arXiv Preprint

Comba: Improving Nonlinear RNNs with Closed-loop Control
Jiaxi Hu, Yongqi Pan, Jusen Du, Disen Lan, Xiaqiang Tang, Qingsong Wen, Yuxuan Liang, Weigao Sun
arXiv Preprint

Diffusion Graph Model for Time Series Anomaly Detection via Anomaly-aware Graph Sparsification and Augmentation
Disen Lan*, Guibin Zhang*, Rongjin Guo
International World Wide Web Conference (WWW) on AI4TS Workshop, 2025
Oral Presentation

Diffusion Language-Shapelets for Semi-supervised Time-Series Classifcation
Zhen Liu, Wenbin Pei, Disen Lan, Qianli Ma
Annual AAAI Conference on Artificial Intelligence (AAAI), 2024

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, Shu-Tao Xia, Shirui Pan
International Conference on Machine Learning (ICML), 2025

National Scholarship (three times): 2022, 2023, 2024
Tencent Enterprise First Prize Scholarship, 2024
Interdisciplinary Contest In Modeling (ICM): Finalist (Top 2% globally), 2023
China Undergraduate Mathematical Contest in Modeling (Guangdong): First Prize, 2023
The Chinese Mathematics Competitions (Guangdong): First Prize, 2022
Lan Qiao Cup Programming Competitions (Guangdong): First Prize, 2024
Greater Bay Area Cup Guangdong-Hong Kong-Macao Financial Mathematical Modeling: First Prize, 2022
Asia and Pacific Mathematical Contest in Modeling (APMCM): Second Prize, 2023