A5100399704- Cryptography and Data Security
- Video Analysis and Summarization
- Rough Sets and Fuzzy Logic
- Advanced Database Systems and Queries
- Multimodal Machine Learning Applications
- Anomaly Detection Techniques and Applications
- Privacy-Preserving Technologies in Data
- Human Pose and Action Recognition
- Data Mining Algorithms and Applications
- Advanced Steganography and Watermarking Techniques
- Advanced Image and Video Retrieval Techniques
- Higher Education and Teaching Methods
- Software Reliability and Analysis Research
- Human Resource and Talent Management
- IoT and Edge/Fog Computing
- Gene expression and cancer classification
- Safety Systems Engineering in Autonomy
- Color perception and design
- Education and Work Dynamics
- Evaluation and Optimization Models
- Blockchain Technology Applications and Security
- Agronomic Practices and Intercropping Systems
- Cooperative Communication and Network Coding
- Employer Branding and e-HRM
- Nitrogen and Sulfur Effects on Brassica
Renmin University of China
2024-2025
Inner Mongolia University of Science and Technology
2024
Tianjin University of Science and Technology
2020-2021
Peking University
2018-2019
University of Computer Studies Yangon
2019
Central South University
2009-2013
Luoyang Central Hospital Affiliated to Zhengzhou University
2012
Beihang University
2012
Jiangxi University of Science and Technology
2009
Tianjin University of Commerce
2007
A common waterhemp biotype that was not controlled by triazine or acetolactate synthase (ALS)-inhibiting herbicides isolated from a field in Bond County, IL, the fall of 1996. Greenhouse and laboratory experiments determined resistance to atrazine three ALS-inhibiting this biotype. Based on whole-plant response, County required over 1,000 times more imazethapyr relative susceptible reduce growth 50%. Cross-resistance thifensulfuron, sulfonylurea, flumetsulam, triazolopyrimidine...
Recently there has been significant progress in image captioning with the help of deep learning. However, captions generated by current state-of-the-art models are still far from satisfactory, despite high scores terms conventional metrics such as BLEU and CIDEr. Human-written diverse, informative precise, but machine-generated seem to be simple, vague dull. In this paper, aimed at improving diversity descriptiveness characteristics captions, we propose a model utilizing visual paraphrases...
Natural language generation from visual inputs has attracted extensive research attention recently. Generating poetry content is an interesting but very challenging task. We propose and address the new multimedia task of generating classical Chinese image streams. In this paper, we Images2Poem model with a selection mechanism adaptive self-attention for problem. The first selects representative images to summarize stream. During decoding, it adaptively pays information either source-side...
In this paper a human physical fitness action feature dataset named HSiPu <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> is introduced, which contains 8,044 data sequences and 80,440 images. The built for three actions, are sit-up, push-up pull-up, each has two categories corresponding to standard non-standard actions. Two cameras work as sensors capture features from different views. set facilitates the evaluation of performance...
Microarray data can contribute to precise classification of tumors. However, it is difficult solve the problems caused by curse dimensionality and small sample size microarray data. Neighbourhood components analysis (NCA) a method which maximize stochastic variant leave-one-out KNN score on training set effectively learn linear projection matrices for reduction in classification. Based NCA, discriminant method, called NCADP, proposed two tumor task. Firstly, project matrix constructed using...
Mining closed frequent itemsets in the sliding window is one of important topics data streams mining. In this paper, we propose an algorithm, MCFI-SW, which mines efficiently. It uses a CFP-tree based on FP-tree to record current information stream and prunes obsolete items lot infrequent by operating pointer. A novel approach presented mine set CFP-tree. Theoretical analysis experimental results show that proposed method efficient scalable.