Haoran Liao

According to our database, Haoran Liao authored at least 18 papers between 2022 and 2026.

Collaborative distances:

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

2026

LDA-1B: Scaling Latent Dynamics Action Model via Universal Embodied Data Ingestion.

Jiangran Lyu, Kai Liu, Xuheng Zhang, Haoran Liao, Yusen Feng, Wenxuan Zhu, Tingrui Shen, Jiayi Chen, Jiazhao Zhang, Yifei Dong, Wenbo Cui, Senmao Qi, Shuo Wang, Yixin Zheng, Mi Yan, Xuesong Shi, Haoran Li, Dongbin Zhao, Ming-Yu Liu, Zhizheng Zhang, Li Yi, Yizhou Wang, He Wang

CoRR, February, 2026

Entity-relation enhanced bidirectional information fusion for relational triples extraction.

Haoran Liao, Yuan Rong, Mingming Kong, Chao Zhang, Xianjun Tian, Vladimir Simic, Dragan Pamucar

Eng. Appl. Artif. Intell., 2026

2025

CycleManip: Enabling Cyclic Task Manipulation via Effective Historical Perception and Understanding.

Yi-Lin Wei, Haoran Liao, Yuhao Lin, Pengyue Wang, Zhizhao Liang, Guiliang Liu, Wei-Shi Zheng

CoRR, December, 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

QubiCML: ML-Powered Real-Time Quantum State Discrimination Enabling Mid-Circuit Measurements.

Neel R. Vora, Yilun Xu, Akel Hasim, Neelay Fruitwala, Nam Nguyen, Haoran Liao, Jan Balewski, Abhi D. Rajagopala, Kasra Nowrouzi, Qing Ji, K. Birgitta Whaley, Irfan Siddiqi, Phuc Nguyen, Gang Huang

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2025

Poster Submission - Generation of Long-Range Entanglement Enhanced by Error Detection.

Haoran Liao

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 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

Enhancing Objectivity in LLM-as-a-Judge through Perturbation Injection.

Zhihao Zhu, Haoran Liao, Yaohui Jin

Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 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