News09/21/2025: Our SharpZO work regrading efficient VLM fine-tuning is accepted on NeurIPS 2025! [Link] 08/12/2025: My internship paper last summer about LLM Prunning is highlighed on Amazon Science! [Link] 06/23/2025: I start my summer internship at AWS Agentic AI, working on improving the planning ability of multimodal AI agents. 06/11/2025: Finished my PhD proposal presentation. [Slides] 05/15/2025: Two of our papers about LLMs pruning and parameter-efficient federated fine-tuning are accepted to ACL 2025 Findings. 09/21/2024: Our paper 'AdaZeta: Adaptive Zeroth-Order Tensor-Train Adaption for Memory-Efficient Large Language Models Fine-Tuning' is accepted by EMNLP 2024. 04/21/2024: Our paper 'LoRETTA: Low-Rank Economic Tensor-Train Adaptation for Ultra-Low-Parameter Fine-Tuning of Large Language Models' is selected as an oral presentation paper (top 5%) by NAACL 2024. 03/28/2024: Our paper 'PID Control-Based Self-Healing to Improve the Robustness of Large Language Models' is accepted by TMLR. 03/13/2024: Our paper 'LoRETTA: Low-Rank Economic Tensor-Train Adaptation for Ultra-Low-Parameter Fine-Tuning of Large Language Models' is accepted by NAACL 2024. 03/08/2024: I will join Amazon AGI for my summer internship, working on the inference speed-up of LLMs. 08/01/2023: I start working in the field of Natural Language Processing, focusing on the efficient training of LLMs. |