b'Yitong Li'

research

∙ 05/18/2023

CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Models

Warning: This paper contains content that may be offensive or upsetting....

7 Jiaxu Zhao, et al. ∙

research

∙ 05/18/2023

Scribble-Supervised Target Extraction Method Based on Inner Structure-Constraint for Remote Sensing Images

Weakly supervised learning based on scribble annotations in target extra...

0 Yitong Li, et al. ∙

research

∙ 03/26/2023

On the Importance of Accurate Geometry Data for Dense 3D Vision Tasks

Learning-based methods to solve dense 3D vision problems typically train...

9 HyunJun Jung, et al. ∙

research

∙ 12/09/2022

Discrete Event Simulation for Port Berth Maintenance Planning

Industrial and commercial ports, which are one of the three main hubs to...

0 Ruqayah Alsayed Ebrahim, et al. ∙

research

∙ 12/09/2022

Automated Integration of Infrastructure Component Status for Real-Time Restoration Progress Control: Case Study of Highway System in Hurricane Harvey

Following extreme events, efficient restoration of infrastructure system...

0 Yitong Li, et al. ∙

research

∙ 12/02/2022

Towards Diverse, Relevant and Coherent Open-Domain Dialogue Generation via Hybrid Latent Variables

Conditional variational models, using either continuous or discrete late...

0 Bin Sun, et al. ∙

research

∙ 12/01/2022

Modeling Complex Dialogue Mappings via Sentence Semantic Segmentation Guided Conditional Variational Auto-Encoder

Complex dialogue mappings (CDM), including one-to-many and many-to-one m...

0 Bin Sun, et al. ∙

research

∙ 11/15/2022

An Overview on Controllable Text Generation via Variational Auto-Encoders

Recent advances in neural-based generative modeling have reignited the h...

0 Haoqin Tu, et al. ∙

research

∙ 07/15/2022

CheXplaining in Style: Counterfactual Explanations for Chest X-rays using StyleGAN

Deep learning models used in medical image analysis are prone to raising...

0 Matan Atad, et al. ∙

research

∙ 05/18/2022

PhoCaL: A Multi-Modal Dataset for Category-Level Object Pose Estimation with Photometrically Challenging Objects

Object pose estimation is crucial for robotic applications and augmented...

0 Pengyuan Wang, et al. ∙

research

∙ 05/09/2022

Is my Depth Ground-Truth Good Enough? HAMMER – Highly Accurate Multi-Modal Dataset for DEnse 3D Scene Regression

Depth estimation is a core task in 3D computer vision. Recent methods in...

3 HyunJun Jung, et al. ∙

research

∙ 05/04/2022

fairlib: A Unified Framework for Assessing and Improving Classification Fairness

This paper presents fairlib, an open-source framework for assessing and ...

0 Xudong Han, et al. ∙

research

∙ 03/15/2022

RotateQVS: Representing Temporal Information as Rotations in Quaternion Vector Space for Temporal Knowledge Graph Completion

Temporal factors are tied to the growth of facts in realistic applicatio...

0 Kai Chen, et al. ∙

research

∙ 12/07/2021

Polarimetric Pose Prediction

Light has many properties that can be passively measured by vision senso...

0 Daoyi Gao, et al. ∙

research

∙ 09/02/2021

Leveraging Documentation to Test Deep Learning Library Functions

It is integral to test API functions of widely used deep learning (DL) l...

0 Danning Xie, et al. ∙

research

∙ 02/27/2021

Automated Generation of Interorganizational Disaster Response Networks through Information Extraction

When a disaster occurs, maintaining and restoring community lifelines su...

0 Yitong Li, et al. ∙

research

∙ 10/03/2020

Differentially Private Representation for NLP: Formal Guarantee and An Empirical Study on Privacy and Fairness

It has been demonstrated that hidden representation learned by a deep mo...

3 Lingjuan Lyu, et al. ∙

research

∙ 07/18/2020

How to Democratise and Protect AI: Fair and Differentially Private Decentralised Deep Learning

This paper firstly considers the research problem of fairness in collabo...

14 Lingjuan Lyu, et al. ∙

research

∙ 06/25/2020

Towards Differentially Private Text Representations

Most deep learning frameworks require users to pool their local data or ...

0 Lingjuan Lyu, et al. ∙

research

∙ 06/11/2020

Understanding the Dynamics of Information Flow During Disaster Response Using Absorbing Markov Chains

This paper aims to derive a quantitative model to evaluate the impact of...

0 Yitong Li, et al. ∙

research

∙ 06/01/2020

Improving Disentangled Text Representation Learning with Information-Theoretic Guidance

Learning disentangled representations of natural language is essential f...

5 Pengyu Cheng, et al. ∙

research

∙ 04/25/2020

Automated Abstraction of Operation Processes from Unstructured Text for Simulation Modeling

Abstraction of operation processes is a fundamental step for simulation ...

0 Yitong Li, et al. ∙

research

∙ 03/02/2020

Toward Interpretability of Dual-Encoder Models for Dialogue Response Suggestions

This work shows how to improve and interpret the commonly used dual enco...

0 Yitong Li, et al. ∙

research

∙ 02/12/2020

Estimating Uncertainty Intervals from Collaborating Networks

Effective decision making requires understanding the uncertainty inheren...

0 Tianhui Zhou, et al. ∙

research

∙ 10/09/2019

Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods

We investigate time-dependent data analysis from the perspective of recu...

0 Kevin J Liang, et al. ∙

research

∙ 10/05/2019

Gaussian-Process-Based Dynamic Embedding for Textual Networks

Textual network embedding aims to learn low-dimensional representations ...

0 Pengyu Cheng, et al. ∙

research

∙ 06/24/2019

LMVP: Video Predictor with Leaked Motion Information

We propose a Leaked Motion Video Predictor (LMVP) to predict future fram...

1 Dong Wang, et al. ∙

research

∙ 06/14/2019

Enhanced Input Modeling for Construction Simulation using Bayesian Deep Neural Networks

This paper aims to propose a novel deep learning-integrated framework fo...

0 Yitong Li, et al. ∙

research

∙ 06/07/2019

Semi-supervised Stochastic Multi-Domain Learning using Variational Inference

Supervised models of NLP rely on large collections of text which closely...

0 Yitong Li, et al. ∙

research

∙ 06/04/2019

Towards Fair and Decentralized Privacy-Preserving Deep Learning with Blockchain

In collaborative deep learning, current learning frameworks follow eithe...

0 Lingjuan Lyu, et al. ∙

research

∙ 03/15/2019

On Target Shift in Adversarial Domain Adaptation

Discrepancy between training and testing domains is a fundamental proble...

0 Yitong Li, et al. ∙

research

∙ 01/03/2019

Enhanced Welding Operator Quality Performance Measurement: Work Experience-Integrated Bayesian Prior Determination

Measurement of operator quality performance has been challenging in the ...

0 Yitong Li, et al. ∙

research

∙ 12/20/2018

Sequential Attention GAN for Interactive Image Editing via Dialogue

In this paper, we introduce a new task - interactive image editing via c...

0 Yu Cheng, et al. ∙

research

∙ 12/06/2018

StoryGAN: A Sequential Conditional GAN for Story Visualization

In this work we propose a new task called Story Visualization. Given a m...

0 Yitong Li, et al. ∙

research

∙ 05/24/2018

Diffusion Maps for Textual Network Embedding

Textual network embedding leverages rich text information associated wit...

0 Xinyuan Zhang, et al. ∙

research

∙ 05/21/2018

Non-Oscillatory Pattern Learning for Non-Stationary Signals

This paper proposes a novel non-oscillatory pattern (NOP) learning schem...

0 Jieren Xu, et al. ∙

research

∙ 05/16/2018

Towards Robust and Privacy-preserving Text Representations

Written text often provides sufficient clues to identify the author, the...

0 Yitong Li, et al. ∙

research

∙ 05/16/2018

What's in a Domain? Learning Domain-Robust Text Representations using Adversarial Training

Most real world language problems require learning from heterogenous cor...

0 Yitong Li, et al. ∙

research

∙ 03/09/2018

Maximum Sum Rate of Slotted Aloha with Successive Interference Cancellation

This is a sequel of our previous work [8] on characterization of maximum...

0 Yitong Li, et al. ∙

research

∙ 01/15/2018

Multi-Label Learning from Medical Plain Text with Convolutional Residual Models

Predicting diagnoses from Electronic Health Records (EHRs) is an importa...

0 Xinyuan Zhang, et al. ∙

research

∙ 10/29/2017

Complexity Analysis Approach for Prefabricated Construction Products Using Uncertain Data Clustering

This paper proposes an uncertain data clustering approach to quantitativ...

0 Wenying Ji, et al. ∙

research

∙ 10/01/2017

Video Generation From Text

Generating videos from text has proven to be a significant challenge for...

0 Yitong Li, et al. ∙

research

∙ 09/25/2017

Adaptive Convolutional Filter Generation for Natural Language Understanding

Convolutional neural networks (CNNs) have recently emerged as a popular ...

0 Dinghan Shen, et al. ∙

research

∙ 06/08/2015

EventNet: A Large Scale Structured Concept Library for Complex Event Detection in Video

Event-specific concepts are the semantic concepts designed for the event...

0 Guangnan Ye, et al. ∙

Yitong Li

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