Computational-Based Approach to Estimating Travel Demand in Large-Scale Microscopic Traffic Simulation Models. - Shan Huang; Adel W. Sadek; Liya Guo (J. Comput. Civ. Eng., 2013)

An Evaluation of Environmental Benefits of Time-Dependent Green Routing in the Greater Buffalo-Niagara Region. - Liya Guo; Shan Huang; Adel W. Sadek (J. Intell. Transp. Syst., 2013)

Bandit Learning in Many-to-One Matching Markets. - Zilong Wang 010; Liya Guo; Junming Yin; Shuai Li 010 (CIKM, 2022)

Establishing a cognitive evaluation model for injury risk assessment in athletes using RBF neural networks. - Sheng Chen; Liya Guo; Rui Xiao; Jingfa Ran; Haidan Li; Lino C. Reynoso (Soft Comput., 2023)

Which LLM to Play? Convergence-Aware Online Model Selection with Time-Increasing Bandits. - Yu Xia 007; Fang Kong 002; Tong Yu 001; Liya Guo; Ryan A. Rossi; Sungchul Kim; Shuai Li 010 (WWW, 2024)

Weak Collocation Regression for Inferring Stochastic Dynamics with Lévy Noise. - Liya Guo; Liwei Lu; Zhijun Zeng; Pipi Hu; Yi Zhu 010 (CoRR, 2024)

Potential Score Matching: Debiasing Molecular Structure Sampling with Potential Energy Guidance. - Liya Guo; Zun Wang; Chang Liu 030; Junzhe Li; Pipi Hu; Yi Zhu 010; Tao Qin 001 (Trans. Mach. Learn. Res., 2025)

UniGenX: Unified Generation of Sequence and Structure with Autoregressive Diffusion. - Gongbo Zhang; Yanting Li; Renqian Luo; Pipi Hu; Zeru Zhao; Lingbo Li; Guoqing Liu; Zun Wang; Ran Bi; Kaiyuan Gao; Liya Guo; Yu Xie; et al. (CoRR, 2025)

UniF2ace: Fine-grained Face Understanding and Generation with Unified Multimodal Models. - Junzhe Li; Xuerui Qiu; Linrui Xu; Liya Guo; Delin Qu; Tingting Long; Chun Fan; Ming Li (CoRR, 2025)

Potential Score Matching: Debiasing Molecular Structure Sampling with Potential Energy Guidance. - Liya Guo; Zun Wang; Chang Liu 030; Junzhe Li; Pipi Hu; Yi Zhu 010 (CoRR, 2025)

DGRO: Enhancing LLM Reasoning via Exploration-Exploitation Control and Reward Variance Management. - Xuerui Su; Liya Guo; Yue Wang 017; Yi Zhu 010; Zhiming Ma; Zun Wang; Yuting Liu 002 (CoRR, 2025)