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I am currently working at Zhongguancun Laboratory (ZGCLAB), leading a research team focused on Data mining, LLM Reasoning, and Agent Reasoning. I received my Ph.D. from the School of Computer Science and Engineering, Beihang University under the supervision of Prof. Jianxin Li. I completed both my Bachelor's and Master's degrees at China West Normal University and was honored as an Excellent Graduate of Sichuan Province. My research interests include speech synthesis, neural machine translation, and automatic music generation. I also collaborate closely with Prof. Chenghua Lin from the University of Manchester, and I have a long-term collaboration with Distinguished Prof. Philip S. Yu from the University of Illinois Chicago. For the most up-to-date citation counts, please visit my Google Scholar profile.
[Prospective students] I am currently looking for Ph.D. students to join my lab. If you are interested in joining, please send me an email at maoqr@zgclab.edu.cn.
News
- 2026 I was selected to serve as the first member of the Chinese Cyber Security Society (CCSS) for the 2026-2031 term.
- 2026 Our survey "A Survey on LLM Ensemble" was accepted by IJCAI 2026. [Project] [Github] [Paper]
- 2025 A new arXiv preprint, "Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process," introduced an unsupervised method to ensemble multiple LLM outputs. [Project] [Github] [Paper]
- 2025 Our survey "A Survey on LLM Ensemble" gained 50+ citations and 180+ GitHub stars by late Dec. 2025. [Project] [Github] [Paper]
- 2025 XRAG was accepted to ICDE 2026. (CCF-A) [Github] [Paper]
- 2025 We released a pioneering modular RAG evaluation benchmark, XRAG: eXamining the Core - Benchmarking Foundational Component Modules in Advanced Retrieval-Augmented Generation. [Project]
- 2024 Our work on knowledge graph reasoning, KnowFormer, was accepted to ICML 2024. (CCF-A) [Github] [Paper]
- 2023 3 papers were accepted to EMNLP and EMNLP(findings). (CCF-B)
- 2023 Our LiteSSLHub streamlined lightweight PLM fine-tuning across three pillars-few labels, light models, and fast inference-through our research line: DisCo, PSNET, and NanoNet. [Github]
- 2022 2 1st-author papers were accepted to IEEE ACM Trans. Audio Speech Lang. Process, TASLP. (CCF-B), (JCR-Q1)
- 2022 5 1st-author papers were accepted. (CCF-A 1 paper / CCF-B 4 papers)
- 2019 We focused on natural language summarization tasks and launched the OpenSUM open-source project, which later incorporated a series of our developed models, including ChineseNewsSum, MultiSum, HashtagGen, CPSUM, TLSum, CNTLS, and BiGAE. [Github]
- 2018 Led the PhD student cohort within the BUAA ACT BIGDATA RING research group for three years.
