My research focuses on model compression and acceleration, aiming to improve the computational efficiency and performance of large-scale models.

Currently, I am dedicated to AI-driven robo-advisory, applying model compression and acceleration techniques to enable efficient financial trading.

🔥 News

2026.02.08: 🎉🎉 A paper has been accepted by Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2026.
2025.11.08: 🎉🎉 A paper has been accepted by AAAI Conference on Artificial Intelligence (AAAI) 2026.
2024.03.30: 🎉🎉 Feeling tired and sleepy, it’s time for a relaxing moment. ☞FunAI

📝 Selected Papers

Steering Representations, Safeguarding Privacy: A Cross-Modal Privacy Protection Method for Generative AI. [pdf]
AAAI Conference on Artificial Intelligence (AAAI), 2026. CCF-A Conference.
S2tory: Story Spine Distillation for Movie Script Summarization. [coming]
The 30th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2026. CCF-C Conference.
Controllable Narrative Rendering for Enhanced Assisted Writing. [coming]
International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2026. CCF-C Conference.
Efficient One-Shot Pruning of Large Language Models with Low-Rank Approximation. [pdf] [code]
IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2024. CCF-C Conference.
Data-Efficient Knowledge Distillation with Teacher Assistant-Based Dynamic Objective Alignment. [pdf] [code]
International Conference on Computational Science (ICCS), 2024. IIE-B Conference.
A Contrastive Self-distillation BERT with Kernel Alignment-Based Inference. [pdf] [code]
International Conference on Computational Science (ICCS), 2023. IIE-B Conference.
MetaBERT: Collaborative Meta-Learning for Accelerating BERT Inference. [pdf] [code]
International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2023. CCF-C Conference.

Reviewers of Conferences:

Reviewers of Journals: