Automated Allocation of Detention Rooms Based on Inverse Graph Partitioning. - Jingwei Wang 001; Chuan Liu 001; Yukai Zhao; Yunlong Ma; Min Liu 002; Weiming Shen 001 (CASE, 2021)

An Outlier-Aware Method for UWB Indoor Positioning in NLoS Situations. - Chuan Liu 001; Yunkang Cao; Chen Sun 015; Weiming Shen 001; Xinyu Li 001; Liang Gao 001 (CSCWD, 2022)

GON: End-to-end optimization framework for constraint graph optimization problems. - Chuan Liu 001; Jingwei Wang 001; Yunkang Cao; Min Liu 002; Weiming Shen 001 (Knowl. Based Syst., 2022)

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 001; Ang Li 006; Martin C. Herbordt (SC, 2023)

Extending Power of Nature from Binary to Real-Valued Graph Learning in Real World. - Chunshu Wu; Ruibing Song; Chuan Liu 001; Yunan Yang; Ang Li 006; Michael C. Huang 001; Tong Geng (ICLR, 2024)

DS-GL: Advancing Graph Learning via Harnessing Nature's Power within Scalable Dynamical Systems. - Ruibing Song; Chunshu Wu; Chuan Liu 001; Ang Li 006; Michael C. Huang 001; Tong Geng (ISCA, 2024)

NP-NDS: A Nature-Powered Nonlinear Dynamical System for Power Grid Forecasting. - Chunshu Wu; Ruibing Song; Chuan Liu 001; Yuqing Wang; Yousu Chen; Ang Li 006; Dongfang Liu; Ying Nian Wu; Michael Huang; Tong Geng (LoG, 2024)

Inertial Confinement Fusion Forecasting via LLMs. - Mingkai Chen; Taowen Wang; James Chenhao Liang; Chuan Liu 001; Chunshu Wu; Qifan Wang 001; Ying Nian Wu; Michael Huang; Chuang Ren; Ang Li 006; Tong Geng; Dongfang Liu (CoRR, 2024)

Diff-PIC: Revolutionizing Particle-In-Cell Simulation for Advancing Nuclear Fusion with Diffusion Models. - Chuan Liu 001; Chunshu Wu; Shihui Cao; Mingkai Chen; James Chenhao Liang; Ang Li 006; Michael Huang; Chuang Ren; Dongfang Liu; Ying Nian Wu; Tong Geng (CoRR, 2024)

Graph Convolutional Network Aided Inverse Graph Partitioning for Resource Allocation. - Jingwei Wang 001; Chuan Liu 001; Yukai Zhao; Zhirui Zhao; Yunlong Ma; Min Liu 002; Weiming Shen 001 (IEEE Trans. Ind. Informatics, 2024)

Nature-GL: A Revolutionary Learning Paradigm Unleashing Nature's Power in Real-World Spatial-Temporal Graph Learning. - Chuan Liu 001; Chunshu Wu; Ruibing Song; Yousu Chen; Ang Li 006; Michael C. Huang 001; Tony Tong Geng (ASP-DAC, 2025)

InstaTrain: Adaptive Training via Ultra-Fast Natural Annealing within Dynamical Systems. - Chuan Liu 001; Ruibing Song; Chunshu Wu; Pouya Haghi; Tong Geng (ICLR, 2025)

Diff-PIC: Revolutionizing Particle-In-Cell Nuclear Fusion Simulation with Diffusion Models. - Chuan Liu 001; Chunshu Wu; Shihui Cao; Mingkai Chen; James Chenhao Liang; Ang Li 006; Michael Huang; Chuang Ren; Ying Nian Wu; Dongfang Liu; Tong Geng (ICLR, 2025)

DS-LLM: Leveraging Dynamical Systems to Enhance Both Training and Inference of Large Language Models. - Ruibing Song; Chuan Liu 001; Chunshu Wu; Ang Li 006; Dongfang Liu; Ying Nian Wu; Tong Geng (ICLR, 2025)

DS-TPU: Dynamical System for on-Device Lifelong Graph Learning with Nonlinear Node Interaction. - Chunshu Wu; Ruibing Song; Chuan Liu 001; Pouya Haghi; Ang Li 006; Michael Huang; Tony Tong Geng (ISCA, 2025)