output
20062025
most citedLarge Margin Multi-modal Multi-task Feature Extraction for Image Classification

108 citations

26 papers

cs.CR2025★ 1 cited

ForgeDAN: An Evolutionary Framework for Jailbreaking Aligned Large Language Models

Siyang Cheng, Gaotian Liu, Rui Mei +7

The rapid adoption of large language models (LLMs) has brought both transformative applications and new security risks, including jailbreak attacks that bypass alignment safeguards…

cond-mat.mtrl-sci2025★ 36 cited

Evaluation of tetracycline photocatalytic degradation using NiFe2O4/CeO2/GO nanocomposite for environmental remediation: In silico molecular docking, Antibacterial performance, degradation pathways, and DFT calculations

Misbah latif, Raziq Nawaz, Muhammad Hammad Aziz +7

Graphene-based nanostructures with distinct structural and physicochemical characteristics may be able to photodegrade antibiotics effectively. Herein, this study reports the succe…

physics.bio-ph2025★ 3 cited

Using Label-Free Raman Spectroscopy Integrated with Microfluidic Chips to Probe Ferroptosis Networks in Cells

Muhammad Muhammad, Chang-Sheng Shao, Raziq Nawaz +6

Ferroptosis, a regulated form of cell death driven by oxidative stress and lipid peroxidation, has emerged as a pivotal research focus with implications across various cellular con…

cs.LG2024★ 15 cited

A Two-Stage Imaging Framework Combining CNN and Physics-Informed Neural Networks for Full-Inverse Tomography: A Case Study in Electrical Impedance Tomography (EIT)

Xuanxuan Yang, Yangming Zhang, Haofeng Chen +2

Electrical Impedance Tomography (EIT) is a highly ill-posed inverse problem, with the challenge of reconstructing internal conductivities using only boundary voltage measurements.…

cs.CV2022★ 18 cited

SSR-HEF: Crowd Counting with Multi-Scale Semantic Refining and Hard Example Focusing

Jiwei Chen, Kewei Wang, Wen Su +1

Crowd counting based on density maps is generally regarded as a regression task.Deep learning is used to learn the mapping between image content and crowd density distribution. Alt…

cs.CV2022★ 13 cited

Crowd counting with segmentation attention convolutional neural network

Jiwei Chen, Zengfu Wang

Deep learning occupies an undisputed dominance in crowd counting. In this paper, we propose a novel convolutional neural network (CNN) architecture called SegCrowdNet. Despite the…