Chuan Liu

According to our database, Chuan Liu authored at least 15 papers between 2021 and 2025.

Collaborative distances:

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

2025

DS-TPU: Dynamical System for on-Device Lifelong Graph Learning with Nonlinear Node Interaction.

Chunshu Wu, Ruibing Song, Chuan Liu, Pouya Haghi, Ang Li, Michael Huang, Tony Tong Geng

Proceedings of the 52nd Annual International Symposium on Computer Architecture, 2025

DS-LLM: Leveraging Dynamical Systems to Enhance Both Training and Inference of Large Language Models.

Ruibing Song, Chuan Liu, Chunshu Wu, Ang Li, Dongfang Liu, Ying Nian Wu, Tong Geng

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Diff-PIC: Revolutionizing Particle-In-Cell Nuclear Fusion Simulation with Diffusion Models.

Chuan Liu, Chunshu Wu, Shihui Cao, Mingkai Chen, James Chenhao Liang, Ang Li, Michael Huang, Chuang Ren, Ying Nian Wu, Dongfang Liu, Tong Geng

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

InstaTrain: Adaptive Training via Ultra-Fast Natural Annealing within Dynamical Systems.

Chuan Liu, Ruibing Song, Chunshu Wu, Pouya Haghi, Tong Geng

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Nature-GL: A Revolutionary Learning Paradigm Unleashing Nature's Power in Real-World Spatial-Temporal Graph Learning.

Chuan Liu, Chunshu Wu, Ruibing Song, Yousu Chen, Ang Li, Michael C. Huang, Tony Tong Geng

Proceedings of the 30th Asia and South Pacific Design Automation Conference, 2025

2024

Graph Convolutional Network Aided Inverse Graph Partitioning for Resource Allocation.

Jingwei Wang, Chuan Liu, Yukai Zhao, Zhirui Zhao, Yunlong Ma, Min Liu, Weiming Shen

IEEE Trans. Ind. Informatics, March, 2024

Diff-PIC: Revolutionizing Particle-In-Cell Simulation for Advancing Nuclear Fusion with Diffusion Models.

Chuan Liu, Chunshu Wu, Shihui Cao, Mingkai Chen, James Chenhao Liang, Ang Li, Michael Huang, Chuang Ren, Dongfang Liu, Ying Nian Wu, Tong Geng

CoRR, 2024

Inertial Confinement Fusion Forecasting via LLMs.

Mingkai Chen, Taowen Wang, James Chenhao Liang, Chuan Liu, Chunshu Wu, Qifan Wang, Ying Nian Wu, Michael Huang, Chuang Ren, Ang Li, Tong Geng, Dongfang Liu

CoRR, 2024

NP-NDS: A Nature-Powered Nonlinear Dynamical System for Power Grid Forecasting.

Chunshu Wu, Ruibing Song, Chuan Liu, Yuqing Wang, Yousu Chen, Ang Li, Dongfang Liu, Ying Nian Wu, Michael Huang, Tong Geng

Proceedings of the Learning on Graphs Conference, 26-29 November 2024, Virtual., 2024

DS-GL: Advancing Graph Learning via Harnessing Nature's Power within Scalable Dynamical Systems.

Ruibing Song, Chunshu Wu, Chuan Liu, Ang Li, Michael C. Huang, Tong Geng

Proceedings of the 51st ACM/IEEE Annual International Symposium on Computer Architecture, 2024

Extending Power of Nature from Binary to Real-Valued Graph Learning in Real World.

Chunshu Wu, Ruibing Song, Chuan Liu, Yunan Yang, Ang Li, Michael C. Huang, Tong Geng

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

FASDA: An FPGA-Aided, Scalable and Distributed Accelerator for Range-Limited Molecular Dynamics.

Chunshu Wu, Tong Geng, Anqi Guo, Sahan Bandara, Pouya Haghi, Chuan Liu, Ang Li, Martin C. Herbordt

Proceedings of the International Conference for High Performance Computing, 2023

2022

GON: End-to-end optimization framework for constraint graph optimization problems.

Chuan Liu, Jingwei Wang, Yunkang Cao, Min Liu, Weiming Shen

Knowl. Based Syst., 2022

An Outlier-Aware Method for UWB Indoor Positioning in NLoS Situations.

Chuan Liu, Yunkang Cao, Chen Sun, Weiming Shen, Xinyu Li, Liang Gao

Proceedings of the 25th IEEE International Conference on Computer Supported Cooperative Work in Design, 2022

2021

Automated Allocation of Detention Rooms Based on Inverse Graph Partitioning.

Jingwei Wang, Chuan Liu, Yukai Zhao, Yunlong Ma, Min Liu, Weiming Shen

Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021