A5101590771- Scheduling and Optimization Algorithms
- Optimization and Search Problems
- Advanced Manufacturing and Logistics Optimization
- Assembly Line Balancing Optimization
- Generative Adversarial Networks and Image Synthesis
- Model Reduction and Neural Networks
- Optimization and Packing Problems
- Collaboration in agile enterprises
- Advanced Text Analysis Techniques
- Distributed and Parallel Computing Systems
- Industrial Technology and Control Systems
- Semantic Web and Ontologies
- Evaluation and Optimization Models
- Multi-Criteria Decision Making
- Zoonotic diseases and public health
- Manufacturing Process and Optimization
- Domain Adaptation and Few-Shot Learning
- Gaussian Processes and Bayesian Inference
- Poxvirus research and outbreaks
- Sustainable Industrial Ecology
- Adversarial Robustness in Machine Learning
- Supply Chain and Inventory Management
- Dietary Effects on Health
- Face recognition and analysis
- Bacillus and Francisella bacterial research
Shanghai Jiao Tong University
2023
Zhengzhou University
2014-2022
PLA Academy of Military Science
2018-2021
China National GeneBank
2021
Tsinghua University
2021
BGI Group (China)
2021
Southeast University
2021
University of Iowa
2019
Tulane University
2017
University of Waterloo
2015
Many steel-based cities in China were established between the 1950s and 1960s. After more than half a century of development boom, these are starting to decline industrial transformation is urgently needed. This paper focuses on evaluating capability resource-based building an evaluation model. Using Text Mining Document Explorer technique as way extracting text features, 200 most frequently used words derived from 100 publications related steel- other cities. The Expert Evaluation Method...
ABSTRACTABSTRACTWe revisit the single-machine scheduling for minimising total weighted late work with assignable due dates (ADD-scheduling) and generalised (GDD-scheduling). In particular, we consider following three problems: (i) GDD-scheduling problem work, (ii) ADD-scheduling (iii) work. literature, above problems are proved to be NP-hard, but their exact complexity (unary NP-hardness or pseudo-polynomial-time solvability) unknown. this paper, address these open by showing that first two...
To achieve effective collaboration of multiple robots, it requires efficient exchanges map information. As directly exchanging generally used depth high communication bandwidth, is practical to enhance the efficiency using compression techniques based on Gaussian mixture models. Currently, parameters model are mostly computed expectation-maximization algorithm. It time consuming as has iteratively update by traversing all points in a point cloud converted from map, and not suitable for...
Massive scientific literature not only have provided plentiful information resources for science and technology research, but also formulate heavy burdens researchers managers of technology. It is valuable urgent to help users understand the knowledge intelligence implied in quickly by using machine reading method. In this paper, we propose an event-centric approach construct semantic link network research events. Scientific event has provide a novel perspective based search, analysis studies.
We propose a \textbf{uni}fied \textbf{f}ramework for \textbf{i}mplicit \textbf{ge}nerative \textbf{m}odeling (UnifiGem) with theoretical guarantees by integrating approaches from optimal transport, numerical ODE, density-ratio (density-difference) estimation and deep neural networks. First, the problem of implicit generative learning is formulated as that finding transport map between reference distribution target distribution, which characterized totally nonlinear Monge-Ampère equation....
Modern processors mostly use cache to hide the memory access latency, so performance is very important application program. A detailed analysis will provide programmers a clear view of their program behaviors, which can help them identify bottleneck and optimize source code. As chip industry turn integrate multiple cores into one chip, multi-core/many-core processor becomes new approach maintain Moor's Law. Therefore, Parallel programs be more even in personal computers. In parallel...
We consider the coordination of transportation and batching scheduling with one single vehicle for minimizing total weighted completion time. The computational complexity problem batch capacity at least 2 was posed as open in literature. For this problem, we show unary NP-hardness every 3 present a polynomial-time 3-approximation algorithm when is 2.
We study the Pareto optimization scheduling on an unbounded parallel-batch machine with jobs having agreeable release dates and processing times for minimizing makespan maximum cost simultaneously. The considered in this paper are of two types: batch drop-line jobs. For jobs, completion time a job is given by containing job. starting plus both we present polynomial-time algorithms finding all optimal points.
In this work, we conducted a study on building an automated testing system for deep learning systems based differential behavior criteria. The goals were achieved by jointly optimizing two objective functions: maximizing behaviors from models under and neuron coverage. By observing three pre-trained during each iteration, the input image that triggered erroneous feedback was registered as corner-case. generated corner-cases can be used to examine robustness of DNNs consequently improve model...