Yuting Liu

According to our database, Yuting Liu authored at least 25 papers between 2007 and 2025.

Collaborative distances:

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

2025

DGRO: Enhancing LLM Reasoning via Exploration-Exploitation Control and Reward Variance Management.

Xuerui Su, Liya Guo, Yue Wang, Yi Zhu, Zhiming Ma, Zun Wang, Yuting Liu

CoRR, May, 2025

Trust Region Preference Approximation: A simple and stable reinforcement learning algorithm for LLM reasoning.

Xuerui Su, Shufang Xie, Guoqing Liu, Yingce Xia, Renqian Luo, Peiran Jin, Zhiming Ma, Yue Wang, Zun Wang, Yuting Liu

CoRR, April, 2025

Performance Analysis of Perturbation-Enhanced SC Decoders.

Zhicheng Liu, Liuquan Yao, Shuai Yuan, Guiying Yan, Zhiming Ma, Yuting Liu

IEEE Commun. Lett., March, 2025

Reveal the Mystery of DPO: The Connection between DPO and RL Algorithms.

Xuerui Su, Yue Wang, Jinhua Zhu, Mingyang Yi, Feng Xu, Zhiming Ma, Yuting Liu

CoRR, February, 2025

A criterion for selecting the appropriate one from the trained models for model-based offline policy evaluation.

Chongchong Li, Yue Wang, Zhi-Ming Ma, Yuting Liu

CAAI Trans. Intell. Technol., 2025

2024

Dynamic Graph Representation Learning via Coupling-Process Model.

Pingtao Duan, Chuan Zhou, Yuting Liu

IEEE Trans. Neural Networks Learn. Syst., September, 2024

Improved Generalization of White Blood Cell Classification by Learnable Illumination Intensity Invariant Layer.

Chongchong Li, Yuting Liu

IEEE Signal Process. Lett., 2024

Neural networks taking probability distributions as input: A framework for analyzing exchangeable networks.

Chongchong Li, Yuting Liu, Zhi-Ming Ma

Neurocomputing, 2024

Utilizing Functional-MLP for Point Process Encoding in a Variational Autoencoder.

Wenxiao Zhang, Chongchong Li, Yuting Liu

Proceedings of the 2024 3rd Asia Conference on Algorithms, Computing and Machine Learning, 2024

2023

Multi-relational dynamic graph representation learning.

Pingtao Duan, Xiangsheng Ren, Yuting Liu

Neurocomputing, November, 2023

How to Select the Appropriate One from the Trained Models for Model-Based OPE.

Chongchong Li, Yue Wang, Zhi-Ming Ma, Yuting Liu

Proceedings of the Artificial Intelligence - Third CAAI International Conference, 2023

2022

Gradient Information Matters in Policy Optimization by Back-propagating through Model.

Chongchong Li, Yue Wang, Wei Chen, Yuting Liu, Zhi-Ming Ma, Tie-Yan Liu

Proceedings of the Tenth International Conference on Learning Representations, 2022

2020

A Branch Point on Differentiation Trajectory is the Bifurcating Event Revealed by Dynamical Network Biomarker Analysis of Single-Cell Data.

Ziwei Chen, Xiangqi Bai, Liang Ma, Xiawei Wang, Xiuqin Liu, Yuting Liu, Luonan Chen, Lin Wan

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

The scale-invariant space for attention layer in neural network.

Yue Wang, Yuting Liu, Zhi-Ming Ma

Neurocomputing, 2020

Target transfer Q-learning and its convergence analysis.

Yue Wang, Yuting Liu, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu

Neurocomputing, 2020

Real-world data medical knowledge graph: construction and applications.

Linfeng Li, Peng Wang, Jun Yan, Yao Wang, Simin Li, Jinpeng Jiang, Zhe Sun, Buzhou Tang, Tsung-Hui Chang, Shenghui Wang, Yuting Liu

Artif. Intell. Medicine, 2020

2019

PrTransH: Embedding Probabilistic Medical Knowledge from Real World EMR Data.

Linfeng Li, Peng Wang, Yao Wang, Jinpeng Jiang, Buzhou Tang, Jun Yan, Shenghui Wang, Yuting Liu

CoRR, 2019

2018

Target Transfer Q-Learning and Its Convergence Analysis.

Yue Wang, Qi Meng, Wei Chen, Yuting Liu, Zhiming Ma, Tie-Yan Liu

CoRR, 2018

2017

Finite sample analysis of the GTD Policy Evaluation Algorithms in Markov Setting.

Yue Wang, Wei Chen, Yuting Liu, Zhiming Ma, Tie-Yan Liu

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2014

A New Method for Modeling Coalescent Processes with Recombination.

Ying Wang, Ying Zhou, Linfeng Li, Xian Chen, Yuting Liu, Zhiming Ma, Shuhua Xu

BMC Bioinform., 2014

2011

Page importance computation based on Markov processes.

Bin Gao, Tie-Yan Liu, Yuting Liu, Taifeng Wang, Zhiming Ma, Hang Li

Inf. Retr., 2011

2010

A framework to compute page importance based on user behaviors.

Yuting Liu, Tie-Yan Liu, Bin Gao, Zhiming Ma, Hang Li

Inf. Retr., 2010

Comparison of Two Algorithms for Computing Page Importance.

Yuting Liu, Zhiming Ma

Proceedings of the Algorithmic Aspects in Information and Management, 2010

2008

BrowseRank: letting web users vote for page importance.

Yuting Liu, Bin Gao, Tie-Yan Liu, Ying Zhang, Zhiming Ma, Shuyuan He, Hang Li

Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

2007

Supervised rank aggregation.

Yuting Liu, Tie-Yan Liu, Tao Qin, Zhiming Ma, Hang Li

Proceedings of the 16th International Conference on World Wide Web, 2007