Dong, Jin Song

12 publications

ICLR 2025 $F^3Set$: Towards Analyzing Fast, Frequent, and Fine-Grained Events from Videos Zhaoyu Liu, Kan Jiang, Murong Ma, Zhe Hou, Yun Lin, Jin Song Dong

NeurIPS 2025 ALMGuard: Safety Shortcuts and Where to Find Them as Guardrails for Audio–Language Models Weifei Jin, Yuxin Cao, Junjie Su, Jason Xue, Jie Hao, Ke Xu, Jin Song Dong, Derui Wang

ICML 2025 Clustering Properties of Self-Supervised Learning Xi Weng, Jianing An, Xudong Ma, Binhang Qi, Jie Luo, Xi Yang, Jin Song Dong, Lei Huang

ICML 2025 Defending LVLMs Against Vision Attacks Through Partial-Perception Supervision Qi Zhou, Dongxia Wang, Tianlin Li, Yun Lin, Yang Liu, Jin Song Dong, Qing Guo

ICLRW 2025 Defending LVLMs Against Vision Attacks Through Partial-Perception Supervision Qi Zhou, Tianlin Li, Qing Guo, Dongxia Wang, Yun Lin, Yang Liu, Jin Song Dong

NeurIPS 2025 FracFace: Breaking the Visual Clues—Fractal-Based Privacy-Preserving Face Recognition Wanying Dai, Beibei Li, Naipeng Dong, Guangdong Bai, Jin Song Dong

ICML 2025 Position: Trustworthy AI Agents Require the Integration of Large Language Models and Formal Methods Yedi Zhang, Yufan Cai, Xinyue Zuo, Xiaokun Luan, Kailong Wang, Zhe Hou, Yifan Zhang, Zhiyuan Wei, Meng Sun, Jun Sun, Jing Sun, Jin Song Dong

NeurIPS 2025 RvLLM: LLM Runtime Verification with Domain Knowledge Yedi Zhang, Sun Yi Emma, Annabelle Lee Jia En, Jin Song Dong

NeurIPS 2023 On-the-Fly Adapting Code Summarization on Trainable Cost-Effective Language Models Yufan Cai, Yun Lin, Chenyan Liu, Jinglian Wu, Yifan Zhang, Yiming Liu, Yeyun Gong, Jin Song Dong

NeurIPS 2022 Debugging and Explaining Metric Learning Approaches: An Influence Function Based Perspective Ruofan Liu, Yun Lin, Xianglin Yang, Jin Song Dong

AAAI 2022 DeepVisualInsight: Time-Travelling Visualization for Spatio-Temporal Causality of Deep Classification Training Xianglin Yang, Yun Lin, Ruofan Liu, Zhenfeng He, Chao Wang, Jin Song Dong, Hong Mei

IJCAI 2022 Temporality Spatialization: A Scalable and Faithful Time-Travelling Visualization for Deep Classifier Training Xianglin Yang, Yun Lin, Ruofan Liu, Jin Song Dong