Disen Lan (蓝迪森)

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

About Me

I am a first year Ph.D. student (2025 Fall) in the School of Computer Science and Artificial Intelligence, Fudan University, advised by Prof. Yu Cheng @ CUHK and Prof. Xipeng Qiu @ FDUNLP. Before that, I obtained my bachlor degree of computer science from the School of Computer Science & Engineering, South China University of Technology in 2025. I am currently interning at ByteDance Seed.

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

TiViBench: Benchmarking Think-in-Video Reasoning for Video Generative Models
Harold Haodong Chen*, Disen Lan*, Wen-Jie Shu*, Qingyang Liu, Zihan Wang, Sirui Chen, Wenkai Cheng, Kanghao Chen, Hongfei Zhang, Zixin Zhang, Rongjin Guo, Yu Cheng, Ying-Cong Chen
arXiv Preprint

Speed Always Wins: A Survey on Efficient Architectures for Large Language Models
Weigao Sun*, Jiaxi Hu*, Yucheng Zhou*, Jusen Du*, Disen Lan*, Tong Zhu*, Kexin Wang*, Xiaoye Qu*, Yu Zhang, Xiaoyu Mo, Daizong Liu, Yuxuan Liang, Wenliang Chen, Guoqi Li, Yu Cheng
arXiv Preprint

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 Bilinear RNNs with Closed-loop Control
Jiaxi Hu, Yongqi Pan, Jusen Du, Disen Lan, Xiaqiang Tang, Qingsong Wen, Yuxuan Liang, Weigao Sun
Annual Conference on Neural Information Processing Systems (NeurIPS), 2025
Spotlight

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

How to Train Your Mamba for Time Series Forecasting
Jiaxi Hu, Disen Lan, Ziyu Zhou, Gefeng Luo, Qingsong Wen, Yuxuan Liang
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2026

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

Go with Your Gut: Scaling Confidence for Autoregressive Image Generation
Harold Haodong Chen*, Xianfeng Wu*, Wen-Jie Shu, Rongjin Guo, Disen Lan, Harry Yang, Ying-Cong Chen
arXiv Preprint

National Scholarship (three times): 2022, 2023, 2024
Tencent Enterprise First Prize Scholarship, 2024
Xiaomi Scholarship, 2025
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