b'Han Liu'

Understanding the Effect of Out-of-distribution Examples and Interactive Explanations on Human-AI Decision Making

Although AI holds promise for improving human decision making in societa...
01/13/2021 ∙ by Han Liu, et al. ∙ 8 ∙ share

read it
Morphology Matters: A Multilingual Language Modeling Analysis

Prior studies in multilingual language modeling (e.g., Cotterell et al.,...
12/11/2020 ∙ by Hyunji Hayley Park, et al. ∙ 3 ∙ share

read it
Uncertainty Estimation in Medical Image Localization: Towards Robust Anterior Thalamus Targeting for Deep Brain Stimulation

Atlas-based methods are the standard approaches for automatic targeting ...
11/03/2020 ∙ by Han Liu, et al. ∙ 20 ∙ share

read it
Label-Wise Document Pre-Training for Multi-Label Text Classification

A major challenge of multi-label text classification (MLTC) is to stimul...
08/15/2020 ∙ by Han Liu, et al. ∙ 0 ∙ share

read it
The flare Package for High Dimensional Linear Regression and Precision Matrix Estimation in R

This paper describes an R package named flare, which implements a family...
06/27/2020 ∙ by Xingguo Li, et al. ∙ 0 ∙ share

read it
The huge Package for High-dimensional Undirected Graph Estimation in R

We describe an R package named huge which provides easy-to-use functions...
06/26/2020 ∙ by Tuo Zhao, et al. ∙ 7 ∙ share

read it
Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network

In this paper, we explore the slot tagging with only a few labeled suppo...
06/10/2020 ∙ by Yutai Hou, et al. ∙ 0 ∙ share

read it
A Deep Learning based Wearable Healthcare IoT Device for AI-enabled Hearing Assistance Automation

With the recent booming of artificial intelligence (AI), particularly de...
05/16/2020 ∙ by Fraser Young, et al. ∙ 26 ∙ share

read it
Neural Polysynthetic Language Modelling

Research in natural language processing commonly assumes that approaches...
05/11/2020 ∙ by Lane Schwartz, et al. ∙ 0 ∙ share

read it
EQL – an extremely easy to learn knowledge graph query language, achieving highspeed and precise search

EQL, also named as Extremely Simple Query Language, can be widely used i...
03/19/2020 ∙ by Han Liu, et al. ∙ 0 ∙ share

read it
"Why is 'Chicago' deceptive?" Towards Building Model-Driven Tutorials for Humans

To support human decision making with machine learning models, we often ...
01/14/2020 ∙ by Vivian Lai, et al. ∙ 8 ∙ share

read it
AdvCodec: Towards A Unified Framework for Adversarial Text Generation

While there has been great interest in generating imperceptible adversar...
12/22/2019 ∙ by Boxin Wang, et al. ∙ 0 ∙ share

read it
Automatic quality assessment for 2D fetal sonographic standard plane based on multi-task learning

The quality control of fetal sonographic (FS) images is essential for th...
12/11/2019 ∙ by Hong Luo, et al. ∙ 6 ∙ share

read it
Clustering Uncertain Data via Representative Possible Worlds with Consistency Learning

Clustering uncertain data is an essential task in data mining for the in...
09/27/2019 ∙ by Han Liu, et al. ∙ 3 ∙ share

read it
Attributed Graph Learning with 2-D Graph Convolution

Graph convolutional neural networks have demonstrated promising performa...
09/26/2019 ∙ by Qimai Li, et al. ∙ 2 ∙ share

read it
MVDLite: A Light-weight Model View Definition Representation with Fast Validation for Building Information Model

Model View Definition (MVD) is the standard methodology to define the ex...
09/16/2019 ∙ by Han Liu, et al. ∙ 0 ∙ share

read it
MVDLite: A Light-weight Representation of Model View Definition with Fast Validation for BIM Applications

Model View Definition (MVD) is the standard methodology to define the pa...
09/16/2019 ∙ by Han Liu, et al. ∙ 0 ∙ share

read it
Fast Low-rank Metric Learning for Large-scale and High-dimensional Data

Low-rank metric learning aims to learn better discrimination of data sub...
09/13/2019 ∙ by Han Liu, et al. ∙ 2 ∙ share

read it
More Supervision, Less Computation: Statistical-Computational Tradeoffs in Weakly Supervised Learning

We consider the weakly supervised binary classification problem where th...
07/14/2019 ∙ by Xinyang Yi, et al. ∙ 6 ∙ share

read it
Few-Shot Sequence Labeling with Label Dependency Transfer

Few-shot sequence labeling faces a unique challenge compared with the ot...
06/20/2019 ∙ by Yutai Hou, et al. ∙ 0 ∙ share

read it
Attributed Graph Clustering via Adaptive Graph Convolution

Attributed graph clustering is challenging as it requires joint modellin...
06/04/2019 ∙ by Xiaotong Zhang, et al. ∙ 6 ∙ share

read it
Estimating and Inferring the Maximum Degree of Stimulus-Locked Time-Varying Brain Connectivity Networks

Neuroscientists have enjoyed much success in understanding brain functio...
05/28/2019 ∙ by Kean Ming Tan, et al. ∙ 0 ∙ share

read it
Covariance-based sample selection for heterogenous data: Applications to gene expression and autism risk gene detection

Risk for autism can be influenced by genetic mutations in hundreds of ge...
12/19/2018 ∙ by Kevin Lin, et al. ∙ 0 ∙ share

read it
Finite-Sample Analyses for Fully Decentralized Multi-Agent Reinforcement Learning

Despite the increasing interest in multi-agent reinforcement learning (M...
12/06/2018 ∙ by Kaiqing Zhang, et al. ∙ 2 ∙ share

read it
EASYFLOW: Keep Ethereum Away From Overflow

While Ethereum smart contracts enabled a wide range of blockchain applic...
11/09/2018 ∙ by Jianbo Gao, et al. ∙ 0 ∙ share

read it
Performance assessment of the deep learning technologies in grading glaucoma severity

Objective: To validate and compare the performance of eight available de...
10/31/2018 ∙ by Yi Zhen, et al. ∙ 8 ∙ share

read it
SDFN: Segmentation-based Deep Fusion Network for Thoracic Disease Classification in Chest X-ray Images

This study aims to automatically diagnose thoracic diseases depicted on ...
10/30/2018 ∙ by Han Liu, et al. ∙ 0 ∙ share

read it
Super-pixel cloud detection using Hierarchical Fusion CNN

Cloud detection plays a very important role in the process of remote sen...
10/19/2018 ∙ by Han Liu, et al. ∙ 4 ∙ share

read it
Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space

Most existing deep reinforcement learning (DRL) frameworks consider eith...
10/10/2018 ∙ by Jiechao Xiong, et al. ∙ 0 ∙ share

read it
Fully Implicit Online Learning

Regularized online learning is widely used in machine learning. In this ...
09/25/2018 ∙ by Chaobing Song, et al. ∙ 8 ∙ share

read it
High Temperature Structure Detection in Ferromagnets

This paper studies structure detection problems in high temperature ferr...
09/21/2018 ∙ by Yuan Cao, et al. ∙ 0 ∙ share

read it
TStarBots: Defeating the Cheating Level Builtin AI in StarCraft II in the Full Game

Starcraft II (SCII) is widely considered as the most challenging Real Ti...
09/19/2018 ∙ by Peng Sun, et al. ∙ 10 ∙ share

read it
A convex formulation for high-dimensional sparse sliced inverse regression

Sliced inverse regression is a popular tool for sufficient dimension red...
09/17/2018 ∙ by Kean Ming Tan, et al. ∙ 2 ∙ share

read it
Factorized Q-Learning for Large-Scale Multi-Agent Systems

Deep Q-learning has achieved a significant success in single-agent decis...
09/11/2018 ∙ by Yong Chen, et al. ∙ 0 ∙ share

read it
Diffusion Approximations for Online Principal Component Estimation and Global Convergence

In this paper, we propose to adopt the diffusion approximation tools to ...
08/29/2018 ∙ by Chris Junchi Li, et al. ∙ 4 ∙ share

read it
Online ICA: Understanding Global Dynamics of Nonconvex Optimization via Diffusion Processes

Solving statistical learning problems often involves nonconvex optimizat...
08/29/2018 ∙ by Chris Junchi Li, et al. ∙ 2 ∙ share

read it
Curse of Heterogeneity: Computational Barriers in Sparse Mixture Models and Phase Retrieval

We study the fundamental tradeoffs between statistical accuracy and comp...
08/21/2018 ∙ by Jianqing Fan, et al. ∙ 0 ∙ share

read it
A Unified Framework for Testing High Dimensional Parameters: A Data-Adaptive Approach

High dimensional hypothesis test deals with models in which the number o...
08/08/2018 ∙ by Cheng Zhou, et al. ∙ 0 ∙ share

read it
Marginal Policy Gradients for Complex Control

Many complex domains, such as robotics control and real-time strategy (R...
06/13/2018 ∙ by Carson Eisenach, et al. ∙ 0 ∙ share

read it
Efficient, Certifiably Optimal High-Dimensional Clustering

We consider SDP relaxation methods for data and variable clustering prob...
06/01/2018 ∙ by Carson Eisenach, et al. ∙ 0 ∙ share

read it
Feedback-Based Tree Search for Reinforcement Learning

Inspired by recent successes of Monte-Carlo tree search (MCTS) in a numb...
05/15/2018 ∙ by Daniel R. Jiang, et al. ∙ 0 ∙ share

read it
Discrete Factorization Machines for Fast Feature-based Recommendation

User and item features of side information are crucial for accurate reco...
05/06/2018 ∙ by Han Liu, et al. ∙ 0 ∙ share

read it
Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents

We consider the problem of fully decentralized multi-agent reinforcement...
02/23/2018 ∙ by Kaiqing Zhang, et al. ∙ 0 ∙ share

read it
The Enemy Among Us: Detecting Hate Speech with Threats Based 'Othering' Language Embeddings

Offensive or antagonistic language targeted at individuals and social gr...
01/23/2018 ∙ by Wafa Alorainy, et al. ∙ 0 ∙ share

read it
Cyber Hate Classification: 'Othering' Language And Paragraph Embedding

Hateful and offensive language (also known as hate speech or cyber hate)...
01/23/2018 ∙ by Wafa Alorainy, et al. ∙ 0 ∙ share

read it
A New Perspective on Robust M-Estimation: Finite Sample Theory and Applications to Dependence-Adjusted Multiple Testing

Heavy-tailed errors impair the accuracy of the least squares estimate, w...
11/15/2017 ∙ by Wen-Xin Zhou, et al. ∙ 0 ∙ share

read it
On Stein's Identity and Near-Optimal Estimation in High-dimensional Index Models

We consider estimating the parametric components of semi-parametric mult...
09/26/2017 ∙ by Zhuoran Yang, et al. ∙ 0 ∙ share

read it
Inter-Subject Analysis: Inferring Sparse Interactions with Dense Intra-Graphs

We develop a new modeling framework for Inter-Subject Analysis (ISA). Th...
09/20/2017 ∙ by Cong Ma, et al. ∙ 0 ∙ share

read it
Property Testing in High Dimensional Ising models

This paper explores the information-theoretic limitations of graph prope...
09/20/2017 ∙ by Matey Neykov, et al. ∙ 0 ∙ share

read it
Adaptive Inferential Method for Monotone Graph Invariants

We consider the problem of undirected graphical model inference. In many...
07/28/2017 ∙ by Junwei Lu, et al. ∙ 0 ∙ share

read it

Han Liu

Featured Co-authors