Application of Optimized Support Vector Machine in Monthly Streamflow Forecas…

Learning Markov Models Via Low-Rank Optimization

Modeling unknown systems from data is a precursor of system optimization and sequential decision making. In this paper, we focus on learning a Markov model from a single trajectory of states. Suppo…

The Distortion in Prices Due to Passive Investing

In the capital asset pricing model (CAPM), it is ex post optimal to index. To examine the implications of market indexing, we develop a conditional CAPM with costless private information in which s…

Re-Thinking Co-Salient Object Detection

In this article, we conduct a comprehensive study on the co-salient object detection (CoSOD) problem for images. CoSOD is an emerging and rapidly growing extension of salient object detection (SOD)…

Implications of Revenue Models and Technology for Content Moderation Strategies

This paper develops a theoretical model to study the economic incentives for a social media platform to moderate user-generated content. We show that a self-interested platform can use content mode…

Transmission of 120 Gbaud QAM With an All-Silicon Segmented Modulator

Segmenting a silicon modulator can substantially increase its electro-optic bandwidth without sacrificing modulation efficiency. We demonstrate a segmented silicon IQ modulator and experimentally e…

High Speed and High Sensitivity InGaAs/InAlAs Single Photon Avalanche Diodes …

A planar InGaAs/InAlAs single photon avalanche diode (SPAD) was fabricated and comprehensively characterized. At room temperature, the dark count rate is 3.1 MHz at 10.4% photon detection efficienc…

Parametrically Tunable Mid-Infrared Resonant Radiation by Four-Wave Mixing in…

The direct generation of mid-infrared light is of significant interest for various applications including spectroscopy, detection system, optical sensing and biophotonics. Ultrashort-pulse nonlinea…

Part-Object Relational Visual Saliency

Recent years have witnessed a big leap in automatic visual saliency detection attributed to advances in deep learning, especially Convolutional Neural Networks (CNNs). However, inferring the salien…

Weakly Supervised Object Detection Using Proposal- and Semantic-Level Relatio…

In recent years, weakly supervised object detection has attracted great attention in the computer vision community. Although numerous deep learning-based approaches have been proposed in the past f…