papers
Publications (15)
cs.LG2021
Non-intrusive Nonlinear Model Reduction via Machine Learning Approximations to Low-dimensional Operators
Zhe Bai, Liqian Peng
physics.data-an2009
Consensus of self-driven agents with avoidance of collisions
Liqian Peng, Yang Zhao, Baomei Tian +4
cs.LG2025
Compressing Many-Shots in In-Context Learning
Devvrit Khatri, Pranamya Kulkarni, Nilesh Gupta +9
cond-mat.dis-nn2008
Accelerating consensus of self-driven swarm via adaptive speed
Jue Zhang, Yang Zhao, Baomei Tian +4
math.NA2014
Nonlinear Model Reduction via an Adaptive Weighting of Snapshots
Liqian Peng, Kamran Mohseni
cs.CL2025
Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
Gheorghe Comanici, Eric Bieber, Mike Schaekermann +3431
math.DS2014
An Online Manifold Learning Approach for Model Reduction of Dynamical Systems
Liqian Peng, Kamran Mohseni
math.NA2016
Structure-Preserving Model Reduction of Forced Hamiltonian Systems
Liqian Peng, Kamran Mohseni
math.NA2015
Symplectic Model Reduction of Hamiltonian Systems
Liqian Peng, Kamran Mohseni
cs.CL2026
You Only Fine-tune Once: Many-Shot In-Context Fine-Tuning for Large Language Models
Wenchong He, Liqian Peng, Zhe Jiang +1
cs.CL2026
Gemma 4 Technical Report
Gemma Team, Sherif El Abd, Vaibhav Aggarwal +320
math.DS2017
Structure-preserving model reduction for marginally stable LTI systems
Liqian Peng, Kevin Carlberg
physics.comp-ph2019
Recovering missing CFD data for high-order discretizations using deep neural networks and dynamics learning
Kevin T. Carlberg, Antony Jameson, Mykel J. Kochenderfer +3
cs.CL2025
Privacy-preserved LLM Cascade via CoT-enhanced Policy Learning
Kai Zhang, Congchao Wang, Liqian Peng +2
cs.CL2026
Think Deep, Not Just Long: Measuring LLM Reasoning Effort via Deep-Thinking Tokens
Wei-Lin Chen, Liqian Peng, Tian Tan +5