Jiaqi Li

Jiaqi Li 李嘉琦

Ph.D. Student @ Southeast University

Advised by Prof. Guilin Qi

Research focused on Multimodal Learning, Machine Unlearning, Privacy & Security

About Me

I am a fourth-year Ph.D. student (enrolled in 2022) in Cyberspace Security at Southeast University, advised by Professor Guilin Qi. My research interests broadly cover multimodal information extraction and knowledge editing & machine unlearning in multimodal large language models (MLLMs).

Currently, my work focuses on machine unlearning in MLLMs, particularly erasing visual concepts to mitigate privacy leakage in multimodal systems. Moving forward, I aim to develop more efficient unlearning methods for MLLMs or text-to-image models to address privacy and safety challenges in multimodal generative AI.

Multimodal Learning Machine Unlearning Knowledge Editing Privacy & Security Generative AI Safety

News

2026.4

ACL 2026 Paper "SGPVT: Self-Generated Proximal Visual Tokens for Mitigating Proximal Collateral Damage in MLLM Unlearning" has been accepted.

2026.1

ICLR 2026 Paper "Knowledge Externalization: Reversible Unlearning and Modular Retrieval in Multimodal Large Language Models" has been accepted.

2025.11

AAAI 2026 Paper "Forget What Has Seen: Selective Concept Unlearning in Segmentation Foundation Models" has been accepted.

2025.5

ACL 2025 Findings Paper "Forget the Token and Pixel: Rethinking Gradient Ascent for Concept Unlearning in Multimodal Generative Models" has been accepted.

2025.5

ACL 2025 Main Paper "Open-World Attribute Mining for E-Commerce Products with Multimodal Self-Correction Instruction Tuning" has been accepted.

2024.9

NeurIPS 2024 Paper "Single Image Unlearning: Efficient Machine Unlearning in Multimodal Large Language Models" has been accepted.

2024.5

ACL 2024 Findings Paper "MIKE: A New Benchmark for Fine-grained Multimodal Entity Knowledge Editing" has been accepted.

2023.10

EMNLP 2023 Paper "Three Stream Based Multi-level Event Contrastive Learning for Text-Video Event Extraction" has been accepted.

2023.9

ACM MM 2023 Paper "Incorporating Domain Knowledge Graph into Multimodal Movie Genre Classification with Self-Supervised Attention and Contrastive Learning" has been accepted.

Publications

Preprints

Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey

Zhuo Chen, Yichi Zhang, Yin Fang, Yuxia Geng, Lingbing Guo, Xiang Chen, Qian Li, Wen Zhang, Jiaoyan Chen, Yushan Zhu, Jiaqi Li, Xiaoze Liu, Jeff Z. Pan, Ningyu Zhang, Huajun Chen

arXiv:2402.05391

Peer-Reviewed

Incorporating Domain Knowledge Graph into Multimodal Movie Genre Classification with Self-Supervised Attention and Contrastive Learning

ACM MM 2023

Jiaqi Li, Guilin Qi, Chuanyi Zhang, Yongrui Chen, Yiming Tan, Chenlong Xia, Ye Tian

ACM Digital Library

Three Stream Based Multi-level Event Contrastive Learning for Text-Video Event Extraction

EMNLP 2023 Main

Jiaqi Li, Chuanyi Zhang, Miaozeng Du, Dehai Min, Yongrui Chen, Guilin Qi

ACL Anthology

MIKE: A New Benchmark for Fine-grained Multimodal Entity Knowledge Editing

ACL 2024 Findings

Jiaqi Li, Miaozeng Du, Chuanyi Zhang, Yongrui Chen, Nan Hu, Guilin Qi, Haiyun Jiang, Siyuan Cheng, Bozhong Tian

ACL Anthology

Single Image Unlearning: Efficient Machine Unlearning in Multimodal Large Language Models

NeurIPS 2024

Jiaqi Li, Qianshan Wei, Chuanyi Zhang, Guilin Qi, Miaozeng Du, Yongrui Chen, Sheng Bi, Fan Liu

NeurIPS Proceedings

Can Large Language Models Understand DL-Lite Ontologies? An Empirical Study

EMNLP 2024 Findings

Keyu Wang, Guilin Qi, Jiaqi Li, Songlin Zhai

ACL Anthology

Open-World Attribute Mining for E-Commerce Products with Multimodal Self-Correction Instruction Tuning

ACL 2025 Main

Jiaqi Li, Yanming Li, Xiaoli Shen, Chuanyi Zhang, Guilin Qi, Sheng Bi

ACL Anthology

Forget the Token and Pixel: Rethinking Gradient Ascent for Concept Unlearning in Multimodal Generative Models

ACL 2025 Findings

Jiaqi Li, Chuanyi Zhang, Miaozeng Du, Hui Zhang, Yongrui Chen, Qianshan Wei, Junfeng Fang, Ruipeng Wang, Sheng Bi, Guilin Qi

ACL Anthology

Forget What Has Seen: Selective Concept Unlearning in Segmentation Foundation Models

AAAI 2026

Miaozeng Du, Jiaqi Li (co-first author), Sirui Pan, Yi Zhan, Guilin Qi, Yuxin Zhang, Rihui Jin, Yinjia Shu, Qianshan Wei

OpenReview

Knowledge Externalization: Reversible Unlearning and Modular Retrieval in Multimodal Large Language Models

ICLR 2026

Jiaqi Li, Zihan You, Ruoyan Shen, Shenyu Zhang, Songlin Zhai, Yongrui Chen, Chuanyi Zhang, Jiahui Geng, Fakhri Karray, Sheng Bi, Guilin Qi

OpenReview

SGPVT: Self-Generated Proximal Visual Tokens for Mitigating Proximal Collateral Damage in MLLM Unlearning

ACL 2026 Main

Jiaqi Li, Zhijing Zhang, Jiahui Geng, Sheng Bi, Chuanyi Zhang, Fan Liu, Guilin Qi

OpenReview

Academic Services

Conference Reviewer

CVPR 2024 – Present
ICCV 2024 – Present
ICLR 2024 – Present
NeurIPS 2024 – Present
ICML 2025 – Present
AAAI 2025 – Present
ACL/ARR 2023 – Present
ACM MM 2023 – Present

Awards & Honors

National Scholarship

Southeast University · 2024

Zhishan Scholarship

Southeast University · 2025