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Chapter and Conference Paper
Unsupervised Prototype Adapter for Vision-Language Models
Recently, large-scale pre-trained vision-language models (e.g. CLIP and ALIGN) have demonstrated remarkable effectiveness in acquiring transferable visual representations. To leverage the valuable knowledge encod...
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Article
Review of the materials composition and performance evolution of green alkali-activated cementitious materials
Alkali-activated cementitious materials (AAMs) are a kind of green building materials compared to Portland cement components. This review considers the related research on the AAMs to systematically summarize ...
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Article
Geometric machine learning: research and applications
Over the last decade, deep learning has revolutionized many traditional machine learning tasks, ranging from computer vision to natural language processing. Although deep learning has achieved excellent perfor...
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Article
Bio-cement-modified construction materials and their performances
The microbial induced mineral precipitation can be used to modify and improve the performance of construction materials and can partially replace ordinary Portland cement. Microbially induced carbonate precipi...
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Chapter and Conference Paper
Self-Constrained Inference Optimization on Structural Groups for Human Pose Estimation
We observe that human poses exhibit strong group-wise structural correlation and spatial coupling between keypoints due to the biological constraints of different body parts. This group-wise structural correla...
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Article
Open AccessGiant nonlinear Hall effect in twisted bilayer WTe2
In a system with broken inversion symmetry, a second-order nonlinear Hall effect can survive even in the presence of time-reversal symmetry. In this work, we show that a giant nonlinear Hall effect can exist i...
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Article
A cascaded registration network RCINet with segmentation mask
Traditional deformable registration methods achieve brilliant results and show strong theoretical support but are computational intensive since they optimize each image pair’s objective function. Recently, sup...
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Article
Ensemble diversified learning for image classification with noisy labels
In this work, we develop a new approach for learning a deep neural network for image classification with noisy labels using ensemble diversified learning. We first partition the training set into multiple subs...
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Article
vSocial: a cloud-based system for social virtual reality learning environment applications in special education
Virtual Learning Environments (VLEs) are spaces designed to educate student groups remotely via online platforms. Although traditional VLEs have shown promise in educating students, they offer limited immersio...
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Article
CLDA: an adversarial unsupervised domain adaptation method with classifier-level adaptation
Domain adaptation is an active and important research field in transfer learning. Unsupervised domain adaptation, which is better in line with real-world scenarios than supervised and semi-supervised domain ad...
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Article
Complete genome sequence of a novel bovine hepacivirus from Yunnan, China
We detected a novel bovine hepacivirus N (HNV) subtype, IME_BovHep_01, in the serum of cattle in Tengchong, Yunnan, China, by high-throughput sequencing. The complete genome of IME_BovHep_01, was sequenced usi...
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Chapter and Conference Paper
Unsupervised Deep Metric Learning with Transformed Attention Consistency and Contrastive Clustering Loss
Existing approaches for unsupervised metric learning focus on exploring self-supervision information within the input image itself. We observe that, when analyzing images, human eyes often compare images again...
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Article
Single atom accelerates ammonia photosynthesis
Atomically dispersed metal has gained much attention because of the new opportunities they offer in catalysis. However, it is still crucial to understand the mechanism of single-atom catalysis at molecular lev...
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Chapter and Conference Paper
Function-Guided Energy-Precision Optimization with Precision-Rate-Complexity Bivariate Models
In an intelligent wireless vision sensor network, an intra encoder is used for the energy-precision optimization with two control parameters: sampling ratio and quantization parameter, which have a direct impa...
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Article
Volunteer-run cameras as distributed sensors for macrosystem mammal research
Variation in the abundance of animals affects a broad range of ecosystem processes. However, patterns of abundance for large mammals, and the effects of human disturbances on them are not well understood becau...
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Article
Feasibility research of using phase change materials to reduce the inner temperature rise of mass concrete
In order to evaluate the feasibility of using phase change materials to reduce the inner temperature rise of mass concrete, the interior temperature of normal concrete specimen under semi-adiabatic curing cond...
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Article
Nanoindentation characteristics of cement with different mineral admixtures
In order to determine the effects of different mineral admixtures including fly ash (FA), blast furnace slag (BFS) and metakaolin (MK) on hydration product phases from the nanoscale structure perspective, nano...
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Chapter and Conference Paper
Histogram of Oriented Normal Vectors for Object Recognition with a Depth Sensor
We propose a feature, the Histogram of Oriented Normal Vectors (HONV), designed specifically to capture local geometric characteristics for object recognition with a depth sensor. Through our derivation, the nor...
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Article
Open AccessSubgraphs Matching-Based Side Information Generation for Distributed Multiview Video Coding
We adopt constrained relaxation for distributed multiview video coding (DMVC). The novel framework integrates the graph-based segmentation and matching to generate interview correlated side information without...
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Chapter and Conference Paper
Rate-Distortion Control with Delay Bound Constraint for Video Streaming over Multi-Hop Networks
We develop a relatively accurate and robust R-D control algorithm in the H.264/AVC to achieve the target bit rate. More specifically, we first present an efficient bandwidth resource allocation framework to ob...
