Guoxin Yu 于国欣

Assistant Researcher
Peng Cheng Laboratory,
Nanshan District, Shenzhen, Guangdong, China
E-mail: yugx@pcl.ac.cn

Mobirise

About me

I am currently an Assistant Researcher at Peng Cheng Laboratory. I received my Ph.D. from the  Key Lab of Intelligent Information Processing, Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS) , where I was jointly advised by Prof. Yue Yu and Prof. Xiang Ao.
My research interests center on multi-agent intelligence, efficient AI systems, and AI for code generation, with a particular focus on agent collaboration, agent memory, and adaptive routing. This is my Google Scholar.
I received my B.S. degree in Computer Science from Shandong Normal University in 2020.
From April 2022 to May 2023, I interned at the NLP Center, Tencent AI Lab, under the supervision of Dr. Lemao Liu.

Research

  • Multi-Agent Intelligence.
    Developing intelligent multi-agent systems that can collaborate effectively, retain and utilize long-term memory, and dynamically route tasks to the most suitable agents or models.
  • Efficient and Distributed AI Systems.
    Designing efficient, scalable, and distributed systems for training, serving, and coordinating AI models, with an emphasis on resource-aware computation, distributed collaboration, and reducing computational and communication overhead while maintaining strong performance.
  • AI for Code Generation.
    Building AI systems that can understand, generate, and improve code, and exploring agent-based approaches to software development and automated programming.

Publications

  • LaDA-Band: Language Diffusion Models for Vocal-to-Accompaniment Generation. Accepted by the 34th ACM International Conference on Multimedia (ACM MM 2026). [Paper] [Code]
    Qi Wang, Zhexu Shen, Meng Chen, Guoxin Yu*, Chaoxu Pang, Weifeng Zhao, and Wenjiang Zhou.
  • HGMem: Hypergraph-based Working Memory to Improve Multi-step RAG for Long-Context Complex Relational Modeling. In the Proceedings of the 43rd International Conference on Machine Learning (ICML 2026). [Paper]
    Chulun Zhou, Chunkang Zhang, Guoxin Yu, Fandong Meng, Jie Zhou, Wai Lam, and Mo Yu.
  • Beyond Query Memorization: Large Language Model Routing with Query Decomposition and Historical Matching. In the Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026). [Paper]
    Bo Lv, Jingbo Sun, Jianwei Lv, Chen Tang, Shaojie Zhang, Nayu Liu, Guoxin Yu, Zihao Li, Qichao Zhang, Dongbin Zhao, Ping Luo, and Yue Yu.
  • GDCNet: Generative Discrepancy Comparison Network for Multimodal Sarcasm Detection. In the Proceedings of the 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2026). [Paper]
    Shuguang Zhang, Junhong Lian, Guoxin Yu, Baoxun Xu, and Xiang Ao.
  • Fed-PISA: Federated Voice Cloning via Personalized Identity-Style Adaptation. In the Proceedings of the 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2026). [Paper]
    Qi Wang, Shituo Ma, Guoxin Yu, Hanyang Peng, and Yue Yu.
  • MIRE: A Medical Information Enhanced Framework for Long-Tail Medical Dialogue Synthesis. Expert Systems with Applications, 305: 130905, 2026. [Paper]
    Bo Lv, Chen Tang, Nayu Liu, Guoxin Yu, Xin Liu, Riyan Zhang, and Yue Yu.
  • Rethinking the Evaluation of In-Context Learning for LLMs. In the Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024). [Paper]
    Guoxin Yu, Lemao Liu, Mo Yu, Yue Yu, and Xiang Ao.
  • Improving Event-Level Financial Sentiment Analysis with Retrieval-Augmented Multipath Chain-of-Thought Prompting. CCF BigData 2024.
    Yiming Zhang, Xiang Ao, Guoxin Yu, and Qing He.
  • EFSA: Towards Event-Level Financial Sentiment Analysis. In the Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024). [Paper]
    Tianyu Chen, Yiming Zhang, Guoxin Yu, Dapeng Zhang, Li Zeng, Qing He, and Xiang Ao*.
  • Retrieval-augmented Few-shot Text Classification. In the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP2023 Findings). [Paper] [Slide] [Poster]
    Guoxin Yu, Lemao Liu*, Haiyun Jiang, Shuming Shi, Xiang Ao*.
  • Making Better Use of Training Corpus: Retrieval-based Aspect Sentiment Triplet Extraction via Label Interpolation. In the Joint Conference of the 61th Annual Meeting of the Association for Computational Linguistics and the 13th International Joint Conference on Natural Language Processing (ACL-IJCNLP2023 Findings). [Paper] [Slide] [Poster]
    Guoxin Yu, Lemao Liu*, Haiyun Jiang, Shuming Shi, and Xiang Ao*.
  • Self Question-answering: Aspect-based Sentiment Analysis by Role Flipped Machine Reading Comprehension. In the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP2021 Findings). [Paper] [Slide]
    Guoxin Yu, Jiwei Li, Ling Luo, Yuxian Meng, Xiang Ao* and Qing He.
  • Making Flexible Use of Subtasks: A Multiplex Interaction Network for Unified Aspect-based Sentiment Analysis. In the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP2021 Findings). [Paper] [Slide]
    Guoxin Yu, Xiang Ao*, Ling Luo, Min Yang, Xiaofei Sun, Jiwei Li and Qing He.
  • Discovering Protagonist of Sentiment with Aspect Reconstructed Capsule Network. In Proceedings of the 26th International Conference on Database Systems for Advanced Applications. (DASFAA2021).
    [Paper] [Slide]
    Chi Xu, Hao Feng, Guoxin Yu, Min Yang, Xiting Wang, Yan Song and Xiang Ao*.

Honours and Awards

Recognition Award of 2022 Tencent Rhino-Bird Research Elite Program, Tencent, 2023
Tencent Rhino-Bird Research Elite Program, Tencent, 2022
First academic scholarship, ICT, CAS, 2021
Lvde's investment Master Award (虑得奖学金), ICT, CAS, 2021
Outstanding Graduate of Shandong Province, 2020
College Student Scholarship of CAS, 2019

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