Haoran Liao

According to our database, Haoran Liao authored at least 12 papers between 2022 and 2025.

Collaborative distances:

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

2025

TypeTele: Releasing Dexterity in Teleoperation by Dexterous Manipulation Types.

Yuhao Lin, Yi-Lin Wei, Haoran Liao, Mu Lin, Chengyi Xing, Hao Li, Dandan Zhang, Mark R. Cutkosky, Wei-Shi Zheng

CoRR, July, 2025

Forest for the Trees: Overarching Prompting Evokes High-Level Reasoning in Large Language Models.

Haoran Liao, Shaohua Hu, Zhihao Zhu, Hao He, Yaohui Jin

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

A Progressive Local Variance-guided Strategy for Improving Data Augmentation Reliability.

Zheyuan Wang, Ziyao Meng, Dezhi Wu, Haoran Liao, Tianyi Wang, Hao Shen, Jiajia Li, Haitao Song

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Faithful Self-Refinement in Mathematical Reasoning via Progressive Back-Translation.

Haoran Liao, Zhihao Zhu, Shaohua Hu, Hao He, Yaohui Jin

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Look Before You Leap: Problem Elaboration Prompting Improves Mathematical Reasoning in Large Language Models.

Haoran Liao, Jidong Tian, Shaohua Hu, Zhihao Zhu, Hao He, Yaohui Jin

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

TopoRefine: Iterative Refinement with Reasoning Topology as High-Level Feedback.

Haoran Liao, Shaohua Hu, Zhihao Zhu, Hao He, Yaohui Jin

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Machine learning for practical quantum error mitigation.

Haoran Liao, Derek S. Wang, Iskandar Sitdikov, Ciro Salcedo, Alireza Seif, Zlatko Minev

Nat. Mac. Intell., 2024

Look Before You Leap: Problem Elaboration Prompting Improves Mathematical Reasoning in Large Language Models.

Haoran Liao, Jidong Tian, Shaohua Hu, Hao He, Yaohui Jin

CoRR, 2024

Suppressing Correlated Noise in Quantum Computers via Context-Aware Compiling.

Alireza Seif, Haoran Liao, Vinay Tripathi, Kevin Krsulich, Moein Malekakhlagh, Mirko Amico, Petar Jurcevic, Ali Javadi-Abhari

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

2023

Decohering tensor network quantum machine learning models.

Haoran Liao, Ian Convy, Zhibo Yang, K. Birgitta Whaley

Quantum Mach. Intell., June, 2023

Task-Level Thinking Steps Help Large Language Models for Challenging Classification Task.

Chunhui Du, Jidong Tian, Haoran Liao, Jindou Chen, Hao He, Yaohui Jin

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Mutual information scaling for tensor network machine learning.

Ian Convy, William J. Huggins, Haoran Liao, K. Birgitta Whaley

Mach. Learn. Sci. Technol., 2022