Northeastern University,
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Email: liuyongkang [at] qhd.neu.edu.cn
Verified email at qhd.neu.edu.cn
I am an Assistant Professor at Northeastern University, where I earned my Ph.D. under the supervision of Professors Wang Daling and Feng Shi. My doctoral research focused on dialogue systems, multilingual NLP, and LLM fine-tuning. From 2022 to 2024, I am a joint Ph.D. student at LMU Munich, advised by ACL Fellow Professor Hinrich Schütze.
Undergraduate and Master’s students interested in LLMs and NLP are welcome to contact me.
Research Interest
- PEFT (Parameter-Efficient Fine-Tuning)
- MEFT(Memory-Efficient Fine-Tuning)
- Large Language Model Security
- Efficient Inference for LLMs
- Large Model Reasoning
In addition to the research interests mentioned above, it also includes Multimodal LLM,Multilingual LLM, Interpretable LLM Analysis, and so on.
Recruitment
Master Student: You are welcome to apply for my graduate program—whether you are taking the postgraduate entrance exam or seeking admission via recommendation.
Undergraduate Student: We recruit undergraduate students throughout the year — early joiners are welcome to get involved and start learning with the group right away.
Academic Service
- Area Chair: ACL, EMNLP, EACL, NAACL
- PC / Reviewer: AAAI, NeurIPS, ICML, CVPR, ECCV and related venues
Research Funding
- 2026.01-2028.12: National Natural Science Foundation of China Youth Fund, PI
High-quality data distillation and efficient computation for vertical-domain large models. - 2025.01-2027.12: Fundamental Research Funds for the Central Universities, PI
Task-driven efficient fine-tuning and inference acceleration. - 2025.01-2030.12: Start-up funding, PI
- Participating researcher in multiple NSFC General Program projects on emotion-aware and user-centered dialogue generation.
