Here is Guanhua Chen (陈冠华). I am a tenure-track assistant professor in the Department of Statistics and Data Science in Southern University of Science and Technology (SUSTech). I received Ph.D. from the Department of Computer Science, The University of Hong Kong in 2022, under the supervision of Prof. Jia Pan and Prof. Wenping Wang. I obtained the Bachelor and Master degree from Tsinghua University, respectively. I was a research intern in Microsoft Research Asia and Huawei Noah’s Ark Lab. Currently, I am an area chair of ACL, EMNLP and CCL, also the reviewer for top AI conferences and journal like ICML, NeurIPS, ICLR, ACL, EMNLP, NAACL, and TASLP. I was awarded as Microsoft Research Asia StarTrack Scholar in 2025. 

Hiring PostDoc/PhD/Master/Visiting Students

I am looking for self-motivated PostDoc/PhD/Master/visiting students to join our lab. If you are interested, please send me an email with your CV. For your reference, here are the latest information of the PhD (https://stat-ds.sustech.edu.cn/notice/402) and Master (https://stat-ds.sustech.edu.cn/notice/388) application process of this year. Currently, we have 16 RTX 4090 GPUs (24GB), 16 NVIDIA L40 GPUs (48GB), and 4 A100 GPUs (40GB) available for students. Several cloud A800/H800 GPU servers are also available for resource-intensive research. Enough APIs of open-sourced/proprietary LLMs are also provided for students.

Research interests

Natural language processing (NLP) and large language models (LLMs), especially reasoning LLMs, LLM-based multi-agents system, multimodal LLMs, and LLM applications in health care and interlligent data system, etc.

Selected Publications (First Authored or Corresponding Authored Papers)

1. [AAAI'26] Enhancing Uncertainty Estimation in LLMs with Expectation of Aggregated Internal Belief.
2. [NeurIPS'25] Beyond the Surface: Enhancing LLM-as-a-Judge Alignment with Human via Internal Representations.
3. [EMNLP'25] G2: Guided Generation for Enhanced Output Diversity in LLMs.
4. [EMNLP'25 Findings] Pi-SQL: Enhancing Text-to-SQL with Fine-Grained Guidance from Pivot Programming Languages.
5. [ACL'25] ImPart: Importance-Aware Delta-Sparsification for Improved Model Compression and Merging in LLMs.
6. [ACL'25 (Industry Track)] PlanGPT: Enhancing Urban Planning with Tailored Language Model and Efficient Retrieval.
7. [ACL'25 Findings] Fanno: Augmenting High-Quality Instruction Data with Open-Sourced LLMs Only.
8. [ACL'25 Findings] Tag-Instruct: Controlled Instruction Complexity Enhancement through Structure-based Augmentation.
9. [NAACL'25] MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning.
10. [NAACL'25] SeqAR: Jailbreak LLMs with Sequential Auto-Generated Characters.
11. [NAACL'25] Self-DC: When to Reason and When to Act? Self Divide-and-Conquer for Compositional Unknown Questions.
12. [NAACL'25 Findings] LayAlign: Enhancing Multilingual Reasoning in LLMs via Layer-Wise Adaptive Fusion and Alignment Strategy.
13. [NeurIPS'24] SeTAR: Out-of-Distribution Detection with Selective Low-Rank Approximation.
14. [EMNLP'24] Distract Large Language Models for Automatic Jailbreak Attack.
15. [ACL'24 Findings] PACIT: Unlocking the Power of Examples for Better In-Context Instruction Tuning
16. [ACL'23] mCLIP: Multilingual CLIP via Cross-lingual Transfer
17. [EMNLP'22 Findings] Multilingual Sentence Transformer as A Multilingual Word Aligner
18. [EMNLP'22] XLM-D: Decorate Cross-lingual Pre-training Model as Non-Autoregressive Neural Machine Translation
19. [ACL'22] Towards Making the Most of Cross-Lingual Transfer for Zero-Shot Neural Machine Translation
20. [EMNLP'21] Zero-shot Cross-lingual Transfer of Neural Machine Translation with Multilingual Pretrained Encoders
21. [AAAI'21] Lexically Constrained Neural Machine Translation with Explicit Alignment Guidance
22. [IJCAI'20] Lexical-Constraint-Aware Neural Machine Translation via Data Augmentation
    

(Last Updated at 2025-12)