About Me
I’m a Senior Researcher at Microsoft Research. I received my Bachelor’s degree and Ph.D. from Tsinghua University in 2016 and 2021, respectively. My recent research focuses on efficient LLMs, memory management of conversational agents, multimodal modeling, and embodied AI.
News
- [09/25/2024] MInference is accepted at NeurIPS 2024 as a spotlight!
- [09/14/2024] I’m serving as an Area Chair for COLING 25!
- [06/03/2024] MInference and LLM Position Bias paper are accepted to ES-FoMo II @ ICML24 and LCFM @ ICML24, respectively.
- [05/21/2024] LLMLingua has been integrated as a custom tool in Prompt Flow.
- [05/16/2024] LongLLMLingua and LLMLingua-2 are accepted to ACL-2024 in main track and findings.
- [02/28/2023] LLMLingua Series has been integrated into LangChain and LlamaIndex.
Recommended Repos
Selected Publications
- Zhoshi Pan, Qianhui Wu, Huiqiang Jiang, Menglin Xia, Xufang Luo, Jue Zhang, Qingwei Lin, Victor Rühle, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Dongmei Zhang, LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression, ACL-2024 Findings.
- Huiqiang Jiang, Qianhui Wu, Xufang Luo, Dongshegn Li, Chin-Yew Lin, Yuqing Yang, Lili Qiu, LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression, ACL-2024, ME-FoMo@ICLR-2024.
- Tingting Ma, Qianhui Wu, Huiqiang Jiang, Jieru Lin, Börje Karlsson, Tiejun Zhao, Chin-Yew Lin, Decomposed Meta-Learning for Few-Shot Sequence Labeling, TASLP-2024.
- Huiqiang Jiang, Qianhui Wu, Chin-Yew Lin, Yuqing Yang, Lili Qiu, LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models, EMNLP-2023.
- Qianhui Wu, Huiqiang Jiang, Haonan Yin, Börje Karlsson, Chin-Yew Lin, Multi-Level Knowledge Distillation for Out-of-Distribution Detection in Text, ACL-2023.
- Tingting Ma, Qianhui Wu, Huiqiang Jiang, Börje Karlsson, Tiejun Zhao, Chin-Yew Lin, CoLaDa: A Collaborative Label Denoising Framework for Cross-lingual Named Entity Recognition, ACL-2023.
- Tingting Ma* , Huiqiang Jiang* , Qianhui Wu*, Tiejun Zhao, Chin-Yew Lin, Decomposed Meta-Learning for Few-Shot Named Entity Recognition, ACL-2022 Findings.
- Tingting Ma, Qianhui Wu, Zhiwei Yu, Tiejun Zhao, Chin-Yew Lin, On the Effectiveness of Sentence Encoding for Intent Detection Meta-Learning, NAACL-2022.
- Qianhui Wu, Zijia Lin, Börje Karlsson, Biqing Huang, Jian-Guang Lou, Unitrans: Unifying Model Transfer and Data Transfer for Cross-Lingual Named Entity Recognition with Unlabeled Data, IJCAI-2020.
- Qianhui Wu, Zijia Lin, Börje Karlsson, Jian-Guang Lou, Biqing Huang, Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target Language, ACL-2020.
- Qianhui Wu, Zijia Lin, Guoxin Wang, Hui Chen, Börje Karlsson, Biqing Huang, Chin-Yew Lin, Enhanced Meta-Learning for Cross-Lingual Named Entity Recognition with Minimal Resources, AAAI-2020.
Honors & Awards
- Microsoft Machine Learning, AI & Data Science Conference (MLADS) Distinguished Contribution Award Winner (2024)
- Microsoft 2023 Global Hackathon Award Winner (2023)
- Intel Scholarship (2020)
- Outstanding (12-9) Counselor Prize, Tsinghua University (2018)
- Outstanding Bachelor Thesis, Tsinghua University (2016)
- National Encouragement Scholarship (2014)
- Scholarship of Art Excellence, Tsinghua University (2014)
- Scholarship of Academic Excellence, Tsinghua University (2013)
Other Information
Academic Service
- Area Chair: COLING-25.
- Conference Reviewer: ACL, EMNLP, NAACL, AAAI, NLPCC.
- Journal Reviewer: CSUR, Pattern Recognition, TASLP, IPM, JIM, ESIN, SIVP, Scientific Reports.
Other Activities
- Counselor at Center for Student Learning and Development, Tsinghua University (Sep. 2016 - Aug. 2018)
- Member of Chinese National Orchestra, Tsinghua University (Aug. 2012 - Jun. 2021)