Hi there! I am now an Researcher at Shanghai AI Lab. Before joining Shanghai AI Lab, I was a Research Engineer at Machine Intelligence Technology Lab, DAMO Academy, Alibaba Group, under the guidance of Rong Jin and Ping Tan. I have been engaged in AI research and development since 2019. I am fortunate to have gained industry experience at Alibaba DAMO Academy, Tencent AI Lab, and Baidu IDL.
NOTE: We are hiring full-time Researcher and Engineer, motivated interns and joint-training PhD students. If you are enthusiastic about Safe AI and wish to join us, contact me at lilijun@pjlab.org.cn directly!
If interested in collaboration or discussion, please email me.
🔭 Research Interest
My research interests lie at the nexus of AI safety and visual understanding. I aim to develop artificial general intelligence with built‑in, balanced safety capabilities. To this end, I concentrate on thoroughly characterizing AI safety vulnerabilities，and embedding robust protective measures from the very outset of model design and training.
🔥 News
- 2025.08: 🎉 Our papers LARF, Visco-attack and RMS have been accepted by EMNLP 2025.
- 2025.05: 🎉 Our paper WorldSimBench has been accepted by ICML 2025.
- 2025.02: 🎉 Our paper T2ISafety has been accepted by CVPR 2025.
- 2024.05: 🎉 Our papers SALAD-Bench and PsySafe have been accepted by ACL 2024. PsySafe is awarded as outstanding paper.
- 2024.03: 🎉 We release an easy-to-use Python framework to generate adversarial jailbreak prompts at website.
- 2023: 🎉 Our paper RenderIH has been accepted by ICCV 2023.
-
2022.05: 🎉🎉 We rank 1st at the Action Detection track of EPIC@CVPR2022 Workshop
- 2022.04：🎉 We rank 2nd at the FreiHAND Competition
📝 Publications
Topics: AI Safety/ Agent / Understanding
(*: indicates equal contribution; ‡: indicates corresponding)
Iterative value function optimization for guided decoding
Zhenhua Liu*, Lijun Li*, Ruizhe Chen, Yuxian Jiang, Tong Zhu, Zhaochen Su, Wenliang Chen, Jing Shao‡
Preprint, 2025
T2isafety: Benchmark for assessing fairness, toxicity, and privacy in image generation
Lijun Li*, Zhelun Shi*, Xuhao Hu, Bowen Dong, Yiran Qin, Xihui Liu, Lu Sheng, Jing Shao‡
CVPR 2025
EasyJailbreak: A Unified Framework for Jailbreaking Large Language Models
Weikang Zhou, Xiao Wang, Limao Xiong, Han Xia, Yingshuang Gu, Mingxu Chai, Fukang Zhu, Caishuang Huang, Shihan Dou, Zhiheng Xi, Rui Zheng, Songyang Gao, Yicheng Zou, Hang Yan, Yifan Le, Ruohui Wang, Lijun Li, Jing Shao, Tao Gui, Qi Zhang, Xuanjing Huang
Preprint, 2024
Renderih: A large-scale synthetic dataset for 3d interacting hand pose estimation
Lijun Li‡, Linrui Tian, Xindi Zhang, Qi Wang, Bang Zhang, Liefeng Bo, Mengyuan Liu, Chen Chen
ICCV 2023
One-stage Action Detection Transformer
Lijun Li, Li’an Zhuo, Bang Zhang
🎖️Winning solution for Action Detection Track of EPIC@CVPR2022
🖊️ Research Experiences
- 2023 - Present, Researcher, Shanghai AI Lab, Beijing, China.
- 2021 - 2023, Researcher, DAMO Academy, Alibaba, Beijing, China.
🎖 Honors and Awards
- ACL 2024 outstanding paper
- 1st at Action Detection track on CVPR 2022 EPIC Kitchens
- 2nd at FreiHand Challenge
- 9/200 at AI for prosthetics
- Outstanding Graduate Student
- National scholarship
💬 Invited Talks
- 2024.11, ACL2024 Benchmarks Introduction hosted by Opencompass
- 2022.06, Winner talk of EPIC-KITCHENS 2022 Challenges at CVPR 2022
👨🔧 Academic Services
- 2024.07, Workshop Organizer, ICML 2024 workshop on Trustworthy Multi-modal Foundation Models and AI Agents (TiFA)
- Reviewer for ICLR/ICML/NIPS/CVPR/ICCV/ARR since 2023