Unifying and Merging Well-trained Deep Neural Networks for Inference Stage

We propose a novel method to merge convolutional neural-nets for the inference stage. Given two well-trained networks that may have different architectures that handle different tasks, our method aligns the layers of the original networks and merges them into a unified model by sharing the representative codes of weights. The shared weights are further re-trained to fine-tune the performance of the merged model. The proposed method effectively produces a compact model that may run original tasks simultaneously on resource-limited devices. As it preserves the general architectures and leverages the co-used weights of well-trained networks, a substantial training overhead can be reduced to shorten the system development time. Experimental results demonstrate a satisfactory performance and validate the effectiveness of the method.Comment: To appear in the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence, 2018. (IJCAI-ECAI 2018

Mary Doe’s Destiny: How The United States Has Banned Human Embryonic Stem Cell Research In The Absence Of A Direct Prohibition

Mary Doe is a human embryo preserved in liquid nitrogen, in an unnamed in vitro fertilization clinic. Mary Doe’s name was given by an organization dedicated to advocating for equal humanity and personhood of pre-born children, including “children in vitro.” In response to President Clinton’s policy favoring embryonic stem cell [hereinafter ES- cell] research, the organization filed suit on behalf of Mary Doe, and all other frozen human embryos similarly situated, seeking a permanent injunction against any and all plans to undertake human ES-cell experimentation

Draft genome sequence of Lysinibacillus sp. strain A1, isolated from Malaysian tropical soil

YesIn this work, we describe the genome of Lysinibacillus sp. strain A1, which was isolated from tropical soil. Analysis of its genome sequence shows the presence of a gene encoding for a putative peptidase responsible for nitrogen compounds.UM High Impact Research Grants (UMMOHE HIR Grant UM C/625/1/HIR/MOHE/CHAN/01, no. A000001- 50001; UM-MOHE HIR Grant UM C/625/1/HIR/MOHE/CHAN/14/1, no. H-50001-A000027

Proactive Resilience Building through Route Diversity: A Close Look at the Metro System from the Travelers’ Perspective

Travel demand plays a moderate role in the resilience impact assessment of public transport network disruptions. We analyze how travelers can proactively build transport resilience by responding to adverse events using alternative routes. We consider route diversity (i.e., the numbers of alternative routes for all origin–destination (OD) pairs) as a measure of the network’s capability to accommodate route choice behavioral change and look for potential proactive travelers from the spatial distribution of OD pairs with alternative routes in the Beijing subway network. We further investigate how proactive resilience can be built by choosing alternative routes with the least extra time cost

Driver-centric Risk Object Identification

A massive number of traffic fatalities are due to driver errors. To reduce fatalities, developing intelligent driving systems assisting drivers to identify potential risks is in urgent need. Risky situations are generally defined based on collision prediction in existing research. However, collisions are only one type of risk in traffic scenarios. We believe a more generic definition is required. In this work, we propose a novel driver-centric definition of risk, i.e., risky objects influence driver behavior. Based on this definition, a new task called risk object identification is introduced. We formulate the task as a cause-effect problem and present a novel two-stage risk object identification framework, taking inspiration from models of situation awareness and causal inference. A driver-centric Risk Object Identification (ROI) dataset is curated to evaluate the proposed system. We demonstrate state-of-the-art risk object identification performance compared with strong baselines on the ROI dataset. In addition, we conduct extensive ablative studies to justify our design choices.Comment: Submitted to TPAM

Whole-genome analysis of quorum-sensing Burkholderia sp. strain A9

YesBurkholderia spp. rely on N-acyl homoserine lactone as quorum-sensing signal molecules which coordinate their phenotype at the population level. In this work, we present the whole genome of Burkholderia sp. strain A9, which enables the discovery of its N-acyl homoserine lactone synthase gene.UM High Impact Research Grants (UM-MOHE HIR grant UM C/625/1/HIR/MOHE/CHAN/01, H-50001-A000001 and UMMOHE HIR Grant UM C/625/1/HIR/MOHE/CHAN/14/1, H-50001- A000027

An Image Retrieval System Based on the Color Complexity of Images

The fuzzy color histogram (FCH) spreads each pixel's total membership value to all histogram bins based on their color similarity. The FCH is insensitive to quantization errors. However, the FCH can state only the global properties of an image rather than the local properties. For example, it cannot depict the color complexity of an image. To characterize the color complexity of an image, this paper presents two image features -- the color variances among adjacent segments (CVAAS) and the color variances of the pixels within an identical segment (CVPWIS). Both features can explain not only the color complexity but also the principal pixel colors of an image. Experimental results show that the CVAAS and CVPWIS based image retrieval systems can provide a high accuracy rate for finding out the database images that satisfy the users' requirement. Moreover, both systems can also resist the scale variances of images as well as the shift and rotation variances of segments in images

Acupuncture for the Treatment of Opiate Addiction

Acupuncture is an accepted treatment worldwide for various clinical conditions, and the effects of acupuncture on opiate addiction have been investigated in many clinical trials. The present review systematically analyzed data from randomized clinical trials published in Chinese and English since 1970. We found that the majority agreed on the efficacy of acupuncture as a strategy for the treatment of opiate addiction. However, some of the methods in several included trials have been criticized for their poor quality. This review summarizes the quality of the study design, the types of acupuncture applied, the commonly selected acupoints or sites of the body, the effectiveness of the treatment, and the possible mechanism underlying the effectiveness of acupuncture in these trials