b'Ziqi Wang'

research

∙ 08/13/2023

Approximate and Weighted Data Reconstruction Attack in Federated Learning

Federated Learning (FL) is a distributed learning paradigm that enables ...

0 Ziqi Wang, et al. ∙

research

∙ 07/22/2023

Psy-LLM: Scaling up Global Mental Health Psychological Services with AI-based Large Language Models

The demand for psychological counseling has grown significantly in recen...

0 Tin Lai, et al. ∙

research

∙ 06/04/2023

Heteroskedastic Geospatial Tracking with Distributed Camera Networks

Visual object tracking has seen significant progress in recent years. Ho...

0 Colin Samplawski, et al. ∙

research

∙ 05/22/2023

In-Context Learning of Large Language Models Explained as Kernel Regression

Large language models (LLMs) have initiated a paradigm shift in transfer...

0 Chi Han, et al. ∙

research

∙ 05/21/2023

Understanding the Effect of Data Augmentation on Knowledge Distillation

Knowledge distillation (KD) requires sufficient data to transfer knowled...

0 Ziqi Wang, et al. ∙

research

∙ 05/19/2023

RCOT: Detecting and Rectifying Factual Inconsistency in Reasoning by Reversing Chain-of-Thought

Large language Models (LLMs) have achieved promising performance on arit...

0 Tianci Xue, et al. ∙

research

∙ 04/26/2023

Game-based Platforms for Artificial Intelligence Research

Games have been the perfect test-beds for artificial intelligence resear...

0 Chengpeng Hu, et al. ∙

research

∙ 04/13/2023

Adaptive active subspace-based metamodeling for high-dimensional reliability analysis

To address the challenges of reliability analysis in high-dimensional pr...

0 Jungho Kim, et al. ∙

research

∙ 03/25/2023

SmartBook: AI-Assisted Situation Report Generation

Emerging events, such as the COVID pandemic and the Ukraine Crisis, requ...

0 Revanth Gangi Reddy, et al. ∙

research

∙ 03/23/2023

Relaxation-based importance sampling for structural reliability analysis

This study presents an importance sampling formulation based on adaptive...

0 Jianhua Xian, et al. ∙

research

∙ 12/06/2022

State Space Closure: Revisiting Endless Online Level Generation via Reinforcement Learning

In this paper we revisit endless online level generation with the recent...

0 Ziqi Wang, et al. ∙

research

∙ 12/04/2022

Recognizing Object by Components with Human Prior Knowledge Enhances Adversarial Robustness of Deep Neural Networks

Adversarial attacks can easily fool object recognition systems based on ...

0 Xiao Li, et al. ∙

research

∙ 10/21/2022

Augmentation with Projection: Towards an Effective and Efficient Data Augmentation Paradigm for Distillation

Knowledge distillation is one of the primary methods of transferring kno...

0 Ziqi Wang, et al. ∙

research

∙ 08/18/2022

Optimized Equivalent Linearization for Random Vibration

A fundamental limitation of various Equivalent Linearization Methods (EL...

0 Ziqi Wang, et al. ∙

research

∙ 07/12/2022

Online Game Level Generation from Music

Game consists of multiple types of content, while the harmony of differe...

0 Ziqi Wang, et al. ∙

research

∙ 03/30/2022

FALCON: Fast Visual Concept Learning by Integrating Images, Linguistic descriptions, and Conceptual Relations

We present a meta-learning framework for learning new visual concepts qu...

12 Lingjie Mei, et al. ∙

research

∙ 03/23/2022

Enhancing Classifier Conservativeness and Robustness by Polynomiality

We illustrate the detrimental effect, such as overconfident decisions, t...

0 Ziqi Wang, et al. ∙

research

∙ 08/01/2021

Zeroth-Order Alternating Randomized Gradient Projection Algorithms for General Nonconvex-Concave Minimax Problems

In this paper, we study zeroth-order algorithms for nonconvex-concave mi...

0 Zi Xu, et al. ∙

research

∙ 07/07/2021

Keiki: Towards Realistic Danmaku Generation via Sequential GANs

Search-based procedural content generation methods have recently been in...

0 Ziqi Wang, et al. ∙

research

∙ 05/30/2021

CLEVE: Contrastive Pre-training for Event Extraction

Event extraction (EE) has considerably benefited from pre-trained langua...

0 Ziqi Wang, et al. ∙

research

∙ 11/11/2020

Robust Reinforcement Learning for General Video Game Playing

Reinforcement learning has successfully learned to play challenging boar...

39 Chengpeng Hu, et al. ∙

research

∙ 05/13/2020

A Novel CNet-assisted Evolutionary Level Repairer and Its Applications to Super Mario Bros

Applying latent variable evolution to game level design has become more ...

2 Tianye Shu, et al. ∙

research

∙ 04/28/2020

MAVEN: A Massive General Domain Event Detection Dataset

Event detection (ED), which identifies event trigger words and classifie...

0 Xiaozhi Wang, et al. ∙

research

∙ 03/04/2020

Probabilistic Performance-Pattern Decomposition (PPPD): analysis framework and applications to stochastic mechanical systems

Since the early 1900s, numerous research efforts have been devoted to de...

15 Ziqi Wang, et al. ∙

research

∙ 11/04/2019

Learning to Annotate: Modularizing Data Augmentation for Text Classifiers with Natural Language Explanations

Deep neural networks usually require massive labeled data, which restric...

0 Ziqi Wang, et al. ∙

research

∙ 11/04/2019

Learning to Annotate: Modularizing Data Augmentation for TextClassifiers with Natural Language Explanations

Deep neural networks usually require massive labeled data, which restric...

0 Ziqi Wang, et al. ∙

research

∙ 09/11/2019

Attention-Aware Age-Agnostic Visual Place Recognition

A cross-domain visual place recognition (VPR) task is proposed in this w...

0 Ziqi Wang, et al. ∙

research

∙ 09/05/2019

Neural Rule Grounding for Low-Resource Relation Extraction

While deep neural models have gained successes on information extraction...

0 Wenxuan Zhou, et al. ∙

research

∙ 08/27/2019

A novel active learning-based Gaussian process metamodelling strategy for estimating the full probability distribution in forward UQ analysis

This paper proposes an active learning-based Gaussian process (AL-GP) me...

2 Ziqi Wang, et al. ∙

research

∙ 07/25/2019

How to Manipulate CNNs to Make Them Lie: the GradCAM Case

Recently many methods have been introduced to explain CNN decisions. How...

0 Tom Viering, et al. ∙

research

∙ 06/30/2019

Deep Residual Neural Networks for Audio Spoofing Detection

The state-of-art models for speech synthesis and voice conversion are ca...

0 Moustafa Alzantot, et al. ∙

Ziqi Wang

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