From the 3 of 56 papers with an AI index.
24 citations
- Zhejiang UniversityCN7 papers
- Peking UniversityCN6 papers
- Tsinghua UniversityCN6 papers
- Beihang UniversityCN5 papers
- Jilin Medical UniversityCN5 papers
- Jilin UniversityCN5 papers
- Nanjing UniversityCN5 papers
- Shanghai Jiao Tong UniversityCN5 papers
- University of Chinese Academy of SciencesCN5 papers
- Wuhan UniversityCN5 papers
- Budker Institute of Nuclear PhysicsRU4 papers
- Carnegie Mellon UniversityUS4 papers
63 papers
IntentQA: Intent Question Answering in Videos by Cognitive Context Reasoning
Jiapeng Li, Ping Wei, Wenjuan Han +2
Video understanding requires intelligent agents to transcend mere recognition of visual facts and comprehend the underlying intents behind human actions (often termed the "dark mat…
Numerical modeling and simulation on nanosecond laser-target interactions
Jian Wu, Ying Zhou, Minxin Chen +1
Nanosecond lasers are widely used in industrial applications as they are relatively inexpensive, and their compactness and robustness are an advantage. Much experimental work has b…
Measurement of multiple mechanical properties from multi-dimensional signals in nanosecond laser ablation via PINN
Ying Zhou, Jian Wu, Ziyuan Song +6
The paper introduces a physics‑informed neural network that uses thermo‑mechanical coupling and multi‑modal laser‑ablation measurements to simultaneously infer several mechanical p…
Physics-informed genetic algorithms (PIGAs) facilitating LIBS spectral normalization with shockwave characteristics
Ying Zhou, Jian Wu, Mingxin Shi +6
Inspired by physics-informed neural networks (PINNs) inheriting both the interpretability of physical laws and the efficient integration capability of machine learning, we propose…
TrapHunter: Exposing Covert Pathways in Trap Token Contracts
Yin Wu, Yixuan Liu, Yi Li +5
Standardized token contracts (e.g., ERC-20) form the foundation of digital assets. However, attackers increasingly abuse this standardization to disguise malicious trap tokens. Unl…
On Success and Simplicity: A Second Look at Transferable Vision-Language Attack Pipeline
Yuchen Ren, Zhengyu Zhao, Chenhao Lin +2
The paper introduces SimVLA, a simplified vision‑language adversarial attack pipeline that improves transferability and computational efficiency compared to existing complex method…