Chengjun Liu is affiliated with the New Jersey Institute of Technology in the United States and has contributed extensively to the field of computer science, particularly focusing on computer vision and pattern recognition. Their research integrates areas such as artificial intelligence, radiology imaging, and industrial engineering, reflecting a multidisciplinary approach within the broader domain of advanced neural networks and machine learning applications.
The scientist's work emphasizes diverse topics, including:
The publication record of Chengjun Liu spans several venues, highlighting contributions to both conference proceedings and journals. Frequent publication venues include:
Recent papers authored or co-authored by Liu showcase a focus on semantic segmentation, attention mechanisms, and adversarial methods in deep learning. Notable papers include:
Collaboration is a significant aspect of Liu's research, indicated by frequent co-authors such as:
Chengjun Liu;H. Wechsler
Chengjun Liu
Chengjun Liu;H. Wechsler
C. Liu;H. Wechsler
Chengjun Liu;H. Wechsler
Chengjun Liu
Chengjun Liu;H. Wechsler
Chengjun Liu
Chengjun Liu;Harry Wechsler
Chengjun Liu;H. Wechsler
Chengjun Liu;H. Wechsler
Peichung Shih;Chengjun Liu
Jian Yang;Chengjun Liu;Lei Zhang
Jian Yang;Chengjun Liu
Chengjun Liu
Zhiming Liu;Chengjun Liu
Peichung Shih;Chengjun Liu
Zhiming Liu;Chengjun Liu
Chengjun Liu
Guanxiong Liu;Hang Shi;Abbas Kiani;Abdallah Khreishah
Chengjun Liu;Jian Yang
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