A5056375343- Optimization and Search Problems
- Complexity and Algorithms in Graphs
- Complex Network Analysis Techniques
- Data Management and Algorithms
- Archaeology and ancient environmental studies
- Machine Learning and Algorithms
- Pleistocene-Era Hominins and Archaeology
- Energy Efficient Wireless Sensor Networks
- Advanced Bandit Algorithms Research
- Supply Chain and Inventory Management
- Auction Theory and Applications
- Consumer Market Behavior and Pricing
- Pacific and Southeast Asian Studies
- Opinion Dynamics and Social Influence
- Advanced Image and Video Retrieval Techniques
- Medical Image Segmentation Techniques
- Energy Harvesting in Wireless Networks
- Opportunistic and Delay-Tolerant Networks
- Caching and Content Delivery
- Human Mobility and Location-Based Analysis
- Recommender Systems and Techniques
- Automated Road and Building Extraction
- Mobile Ad Hoc Networks
- Mobile Crowdsensing and Crowdsourcing
- Advanced Database Systems and Queries
University of North Texas
2022-2024
Chongqing Metrology Quality Inspection and Research Institute
2018-2024
Fudan University
2018-2023
Chinese Academy of Social Sciences
2005-2023
Institute of Archaeology
2005-2023
Nanjing University of Science and Technology
2021-2023
Columbia University
2023
Xi’an University
2023
Hong Kong Metropolitan University
2023
Liaoning University
2022
This paper presents a smart driving direction system leveraging the intelligence of experienced drivers. In this system, GPS-equipped taxis are employed as mobile sensors probing traffic rhythm city and taxi drivers' in choosing directions physical world. We propose time-dependent landmark graph to model dynamic pattern well drivers so provide user with practically fastest route given destination at departure time. Then, Variance-Entropy-Based Clustering approach is devised estimate...
The establishment of agricultural economies based upon domestic animals began independently in many parts the world and led to both increases human population size migration people carrying plants animals. precise circumstances earliest phases these events remain mysterious given their antiquity fact that subsequent waves migrants have often replaced first. Through use more than 1,500 modern (including 151 previously uncharacterized specimens) 18 ancient (representing six East Asian...
The detection of outliers in spatio-temporal traffic data is an important research problem the mining and knowledge discovery community. However to best our knowledge, relationships, especially causal interactions, among detected has not been investigated before. In this paper we propose algorithms which construct outlier causality trees based on temporal spatial properties outliers. Frequent substructures these reveal only recurring interactions outliers, but potential flaws design existing...
Human settlement of Oceania marked the culmination a global colonization process that began when humans first left Africa at least 90,000 years ago. The precise origins and dispersal routes Austronesian peoples associated Lapita culture remain contentious, numerous disparate models (based primarily on linguistic, genetic, archeological data) have been proposed. Here, through use mtDNA from 781 modern ancient Sus specimens, we provide evidence for an early human-mediated translocation...
Matching a raw GPS trajectory to roads on digital map is often referred as the Map problem. However, occurrence of low-sampling-rate trajectories (e.g. one point per 2 minutes) has brought lots challenges existing matching algorithms. To address this problem, we propose an Interactive Voting-based (IVMM) algorithm based following three insights: 1) The position context well topological information road networks, 2) mutual influence between points (i.e., result references positions its...
Tunneling oxide passivated contact (TOPCon) solar cells have made a considerable impact on the global photovoltaic (PV) market. Yet, its relatively poorer reliability compared to Passivated Emitter and Rear Contact (PERC) puts costly limitations module bill of materials that can be used. The use silver/aluminum (Ag/Al) paste for front-side metallization is identified as key factor contributing poor TOPCon modules, particularly at high temperatures humidity. However, very recently,...
The advance of object tracking technologies leads to huge volumes spatio-temporal data collected in the form trajectory stream. In this study, we investigate problem discovering groups that travel together (i.e., traveling companions) from Such technique has broad applications areas scientific transportation management and military surveillance. To discover companions, monitoring system should cluster objects each snapshot intersect clustering results retrieve moving-together objects. Since...
Crowd psychology plays an important role in determining the kind of activities that a person performs. In reality, social network, crowd influence has been observed and it cannot be ignored when considering information diffusion problems. this paper, we model as hyperedge e = (H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">e</sub> , v) with weight 0 ≤ P 1, where H is head node set v tail node, means will activated by probability only after...
Purpose The paper aims to propose a virtual reality (VR) wisdom teaching model in open university English course from the perspective of “Metaverse”. study testify stimulation for learning and effectiveness English-expressing with VR tools adult learners practice pilot reform project. Design/methodology/approach opted an exploratory using ICARE Design Model as framework, under grounded theories constructivism multi-modal teaching. compared evaluation data one-semester performance between...
Abstract California experienced a historic run of nine consecutive landfalling atmospheric rivers (ARs) in three weeks’ time during winter 2022/23. Following years drought from 2020 to 2022, intense ARs across December 2022–January 2023 were responsible for bringing reservoirs back historical averages and producing damaging floods debris flows. In recent years, the Center Western Weather Water Extremes collaborating institutions have developed routinely provided end users peer-reviewed...
With the recent introduction of Spot Instances in Amazon Elastic Compute Cloud (EC2), users can bid for resources and thus control balance reliability versus monetary costs. Mechanisms tools that deal with cost-reliability trade-offs under this schema are great value seeking to lessen their costs while maintaining high reliability. In paper, we propose a set bidding strategies minimize cost volatility resource provisioning. Essentially, derive an optimal strategy, formulate problem as...
The advance of mobile technologies leads to huge volumes spatio-temporal data collected in the form trajectory streams. In this study, we investigate problem discovering object groups that travel together (i.e., traveling companions ) from Such technique has broad applications areas scientific transportation management, and military surveillance. To discover companions, monitoring system should cluster objects each snapshot intersect clustering results retrieve moving-together objects. Since...
We propose a novel global optimization-based approach to segmentation of 3-D prostate transrectal ultrasound (TRUS) and T2 weighted magnetic resonance (MR) images, enforcing inherent axial symmetry shapes simultaneously adjust series 2-D slice-wise segmentations in "global" sense. show that the introduced challenging combinatorial optimization problem can be solved globally exactly by means convex relaxation. In this regard, we coherent continuous max-flow model (CCMFM), which derives new...
Recent technological advances have motivated large-scale deployment of RFID systems. readers are often static and carefully deployed in a planned manner. However, the distribution movements tags dynamically changed unpredictable. We study challenging problem scheduling activation without collision such that system can work stable way long term. Here schedule is if at any time slot, number total unread bounded from above with high probability under this scheduling. In paper, we propose reader...
Pigs have played a major role in the economic, social and symbolic systems of China since Early Neolithic more than 8,000 years ago. However, interaction between history pig domestication transformations Chinese society then, not been fully explored. In this paper, we investigated co-evolution from earliest farming communities through to new political economic models state-like societies, up Empire, using 5,000 archaeological records Xiawanggang (XWG) Xinzhai (XZ) sites (Henan Province). To...
We developed a data-driven system for joint prediction of daily precipitation (Pr) and near-surface temperature (T2m) over the global domain by utilizing NASA&#8217;s satellite observations associated reanalysis products, with focus on S2S hydrologic forecasting. Our approach is based well-established methodology linear inverse modeling modified adapted our science team high-resolution precipitation. The key element this new usage so-called pseudo-precipitation (PP) variable, equal to...
Resolving conformational heterogeneity in cryo-electron microscopy (cryo-EM) datasets remains a significant challenge structural biology. Previous methods have often been restricted to working exclusively on volumetric densities, neglecting the potential of incorporating any pre-existing knowledge as prior or constraints. In this paper, we present novel methodology, cryoSTAR, that harnesses atomic model information regularization elucidate such heterogeneity. Our method uniquely outputs both...
In this paper, we study two tightly coupled topics in online social networks (OSN): relationship classification and information propagation. The links a network often reflect relationships among users. work, first investigate identifying the users based on certain property limited pre-known information. Social have been widely used for marketing. A critical step is propagation maximization by choosing small set of seeds Based learned step, show how to exploit these maximize marketing...
In this paper, we propose a novel global optimization based 3-D multi-region segmentation algorithm for T1-weighted black-blood carotid magnetic resonance (MR) images. The proposed partitions MR image into three regions: wall, lumen, and background. performs such partitioning by simultaneously evolving two coupled surfaces of artery adventitia boundary (AB) lumen-intima (LIB) while preserving their anatomical inter-surface consistency that the LIB is always located within AB. particular,...
With an increasing demand for flexible management in software-defined networks (SDNs), it becomes critical to minimize the network policy update time. Although major SDN controllers are now optimized rapid at control plane, there is still room data plane optimization terms of time, when using TCAM-based physical commodity-off-the-shelf switches. A slow directly affects performance and creates bottlenecks. To flow entry a dependency graph, kind directed acyclic graph (DAG), can be used access...