Hello there! I’m Guodong Du, currently pursuing my PhD at The Hong Kong Polytechnic University (PolyU). Before that, I was a research assistant at Knowledge and Language Computing Lab @Harbin Institute of Technology (Shenzhen). Prior to joining HITSZ, I was a research intern and master student in Learning and Vision Lab @National University of Singapore, advised by Professor Xinchao Wang and Jiashi Feng. Besides, I had been working as an intern in the area of low level computer vision, mentored by Xueyi Zou, in Huawei Noah’s Ark Lab, Shenzhen, China.

My research interest includes VLA, RL in Embodiment Intelligence, knowledge transfer, fusion and compression, multimodal, heuristic algorithms, spiking neural networks and low level computer vision.

🔥 News

Good News Bad News.

• 2026.04:  🎉 One co-corresponding and one co-first author paper are accepted by ACL 2026 Findings.
• 2026.01:  🎉 One first author and one co-first author paper are accepted by ICLR 2026.
• 2025.08:  🎉 One co-corresponding paper is accepted by EMNLP 2025 main.
• 2025.05:  🎉 One first author and one co-first author paper are accepted by ACL 2025 main.
• 2024.09:  🎉 One first author paper is accepted by NeurIPS 2024.
• 2024.05:  🎉 One first author paper is accepted by ACL 2024 Findings.

📝 Recent Projects

• FuseVLA-benchmark — a systematic benchmark for VLA model merging.
• RoboMemPlan — memory-aware subtask planning for long-horizon embodied tasks.
• Knowledge Fusion: A Comprehensive Survey. Github Repo

📝 Publications

( bold: me  ·  *: co-first author  ·  †: corresponding author )

Preprints / Under Review

• Preprint DiDi-Merging: Dynamic Model Merging Made Slim
  Guodong Du, Wanyu Lin†
  paper

Published

• ACL 2026 Findings Skill Weaving: Efficient LLM Improvement via Modular Skillpacks
  Zhuo Li*, Guodong Du*, Zesheng Shi, Weiyang Guo, Jing Li†
  paper

• ACL 2026 Findings D-QReLO: Training- and Data-Free Delta Compression for LLMs via Quantization and Residual Low-Rank Approximation
  Junlin Li, Guodong Du†, Ngai Wong, Min Zhang, Jing Li, Xuelong Li†
  paper

• ICLR 2026 Knowledge Fusion of Large Language Models Via Modular SkillPacks
  Guodong Du, Xuanning Zhou, Junlin Lee, Zhuo Li, Wanyu Lin, Jing Li†
  paper | code

• ICLR 2026 Multi-objective Large Language Model Alignment with Hierarchical Experts (HoE)
  Zhuo Li, Guodong Du*, Wenya Wang, Min Zhang, Jing Li†
  paper

• EMNLP 2025 main To See a World in a Spark of Neuron: Disentangling Multi-task Interference for Training-free Model Merging
  Zitao Fang, Guodong Du†, Jing Li, Ho-Kin Tang, Sim Kuan Goh†
  paper | project

• ACL 2025 main Neural Parameter Search for Slimmer Fine-Tuned Models and Better Transfer
  Guodong Du, Zitao Fang, Junlin Lee, Runhua Jiang, Jing Li†
  paper | code

• ACL 2025 main Multi-Modality Expansion and Retention for LLMs through Parameter Merging and Decoupling
  Junlin Lee, Guodong Du*, Wenya Wang, Jing Li†
  paper

• NeurIPS 2024 Parameter Competition Balancing for Model Merging
  Guodong Du, Junlin Lee, Jing Li†, Hanting Liu, Runhua Jiang, Shuyang Yu, Yifei Guo, Sim Kuan Goh, Ho-Kin Tang†, Min Zhang
  paper | code

• ACL 2024 Findings Knowledge Fusion By Evolving Weights of Language Models
  Guodong Du, Jing Li, Hanting Liu, Runhua Jiang, Shuyang Yu, Yifei Guo, Sim Kuan Goh†, Ho-Kin Tang†
  paper | code

Earlier Work

• IEEE SMC 2024 Impacts of Darwinian Evolution on Pre-trained Deep Neural Networks, Guodong Du, et al.
• IEEE Cyber 2024 MOESR: Multi-Objective Evolutionary Algorithm for Image Super-Resolution, Guodong Du, et al.
• CVPR 2021 Workshop NTIRE 2021 challenge on video super-resolution, 3rd Place Award.
• ArXiv 2020 End-to-end Rain Streak Removal with RAW Images, Guodong Du, et al.

🎖 Honors and Awards

• 2021.10 3rd Place Award in NTIRE 2021 Challenge on Video Super-resolution, Track I. (New Trends in Image Restoration and Enhacement Workshop, CVPR2021)
• 2017.09 National scholarship
• 2016.05 Honorable Award in MCM (The Mathematical Contest in Modeling)
• 2016.05 National Encouragement scholarship
• 2015.05 National Encouragement scholarship

📖 Educations

• 2019.09 - 2021.05, Part-time PhD student, National University of Singapore (NUS)
• 2018.08 - 2019.05, M.S., National University of Singapore (NUS)
• 2016.07 - 2016.12, Visiting. City University of Hong kong (CityU) (Non-degree Undergraduate Exchange)
• 2014.08 - 2018.06, B.S., University of Electronic Science and Technology of China (UESTC)

💻 Internships

• 2024.03 - 2024.09, Knowledge and Language Computing Lab, Shenzhen, China.
• 2023.03 - 2024.09, Harbin Institute of Technology (Shenzhen), China.
• 2019.09 - 2021.09, Learning and Vision Lab, Singapre.
• 2020.08 - 2021.04, Huawei Noah’s Ark Lab, Shenzhen, China.
• 2019.01 - 2019.09, Biomind, Singapore.
• 2018.01 - 2018.04, YoueData, Chengdu, China