Qing Zhao | DeepAI

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Wei Wang
492 publications
Yan Wang
215 publications
Fan Wang
110 publications
Bin Luo
67 publications
Ananthram Swami
53 publications
Xinyi Wang
52 publications
Shuo Liu
33 publications
Xiaoqiang Wang
28 publications
Xiao Xu
24 publications
Sattar Vakili
24 publications
Yun Zhang
22 publications

∙ 09/07/2023

Evaluating the Efficacy of Supervised Learning vs Large Language Models for Identifying Cognitive Distortions and Suicidal Risks in Chinese Social Media

Large language models, particularly those akin to the rapidly progressin...

0 Hongzhi Qi, et al. ∙

∙ 08/29/2023

Enhancing Psychological Counseling with Large Language Model: A Multifaceted Decision-Support System for Non-Professionals

In the contemporary landscape of social media, an alarming number of use...

0 Guanghui Fu, et al. ∙

∙ 03/18/2023

Client Selection for Generalization in Accelerated Federated Learning: A Multi-Armed Bandit Approach

Federated learning (FL) is an emerging machine learning (ML) paradigm us...

0 Dan Ben Ami, et al. ∙

∙ 01/21/2023

A Communication-Efficient Adaptive Algorithm for Federated Learning under Cumulative Regret

We consider the problem of online stochastic optimization in a distribut...

4 Sudeep Salgia, et al. ∙

∙ 11/04/2022

Distributed Linear Bandits under Communication Constraints

We consider distributed linear bandits where M agents learn collaborativ...

0 Sudeep Salgia, et al. ∙

∙ 10/24/2022

Novelty Detection in Time Series via Weak Innovations Representation: A Deep Learning Approach

We consider novelty detection in time series with unknown and nonparamet...

0 Xinyi Wang, et al. ∙

∙ 07/16/2022

Kernel-based Federated Learning with Personalization

We consider federated learning with personalization, where in addition t...

0 Sudeep Salgia, et al. ∙

∙ 05/31/2022

Provably and Practically Efficient Neural Contextual Bandits

We consider the neural contextual bandit problem. In contrast to the exi...

2 Sudeep Salgia, et al. ∙

∙ 01/30/2022

OpTopNET: A Learning Optimal Topology Synthesizer for Ad-hoc Robot Networks

In this paper, we synthesize a machine-learning stacked ensemble model a...

0 Matin Macktoobian, et al. ∙

∙ 10/12/2021

As Easy as ABC: Adaptive Binning Coincidence Test for Uniformity Testing

We consider the problem of uniformity testing of Lipschitz continuous di...

5 Sudeep Salgia, et al. ∙

∙ 10/27/2020

A Computationally Efficient Approach to Black-box Optimization using Gaussian Process Models

We consider the sequential optimization of an unknown function from nois...

27 Sudeep Salgia, et al. ∙

∙ 03/11/2020

Stochastic Coordinate Minimization with Progressive Precision for Stochastic Convex Optimization

A framework based on iterative coordinate minimization (CM) is developed...

10 Sudeep Salgia, et al. ∙

∙ 03/10/2020

DymSLAM:4D Dynamic Scene Reconstruction Based on Geometrical Motion Segmentation

Most SLAM algorithms are based on the assumption that the scene is stati...

6 Chenjie Wang, et al. ∙

∙ 02/26/2020

Memory-Constrained No-Regret Learning in Adversarial Bandits

An adversarial bandit problem with memory constraints is studied where o...

0 Xiao Xu, et al. ∙

∙ 02/20/2020

Distributed No-Regret Learning in Multi-Agent Systems

In this tutorial article, we give an overview of new challenges and repr...

0 Xiao Xu, et al. ∙

∙ 11/13/2019

Searching for Anomalies over Composite Hypotheses

The problem of detecting anomalies in multiple processes is considered. ...

0 Bar Hemo, et al. ∙

∙ 11/10/2019

Several classes of two-weight and three-weight linear codes

Linear codes with few weights have been widely studied due to their appl...

0 Dabin Zheng, et al. ∙

∙ 10/15/2019

Stereo-based Multi-motion Visual Odometry for Mobile Robots

With the development of computer vision, visual odometry is adopted by m...

0 Qing Zhao, et al. ∙

∙ 04/19/2019

Disagreement-based Active Learning in Online Settings

We study online active learning for classifying streaming instances with...

0 Boshuang Huang, et al. ∙

∙ 04/19/2019

Online Active Learning: Label Complexity vs. Classification Errors

We study online active learning for classifying streaming instances. At ...

0 Boshuang Huang, et al. ∙

∙ 01/17/2019

A Random Walk Approach to First-Order Stochastic Convex Optimization

Online minimization of an unknown convex function over a convex and comp...

0 Sattar Vakili, et al. ∙

∙ 02/12/2018

Multi-Armed Bandits on Unit Interval Graphs

An online learning problem with side information on the similarity and d...

0 Xiao Xu, et al. ∙

∙ 02/08/2018

Algorithmic Bidding for Virtual Trading in Electricity Markets

We consider the problem of optimal bidding for virtual trading in two-se...

0 Sevi Baltaoglu, et al. ∙

∙ 12/14/2016

Efficient phase retrieval based on dark fringe recognition with an ability of bypassing invalid fringes

This paper discusses the noisy phase retrieval problem: recovering a com...

0 Wen-Kai Yu, et al. ∙

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