b'Chong Zhang'

research

∙ 08/05/2022

A Holistic Approach to Undesired Content Detection in the Real World

We present a holistic approach to building a robust and useful natural l...

Todor Markov, et al. ∙

research

∙ 06/03/2022

Ultra-Low-Complexity Algorithms with Structurally Optimal Multi-Group Multicast Beamforming in Large-Scale Systems

We consider an ultra-low-complexity multi-group multicast beamforming de...

Chong Zhang, et al. ∙

research

∙ 04/08/2022

Custom Sine Waves Are Enough for Imitation Learning of Bipedal Gaits with Different Styles

Not until recently, robust bipedal locomotion has been achieved through ...

Qi Wu, et al. ∙

research

∙ 03/04/2022

Training language models to follow instructions with human feedback

Making language models bigger does not inherently make them better at fo...

Long Ouyang, et al. ∙

research

∙ 12/07/2021

Adaptive Mimic: Deep Reinforcement Learning of Parameterized Bipedal Walking from Infeasible References

Not until recently, robust robot locomotion has been achieved by deep re...

Chong Zhang, et al. ∙

research

∙ 11/03/2021

Learning Implicit Sentiment in Aspect-based Sentiment Analysis with Supervised Contrastive Pre-Training

Aspect-based sentiment analysis aims to identify the sentiment polarity ...

Zhengyan Li, et al. ∙

research

∙ 10/05/2021

TENT: Text Classification Based on ENcoding Tree Learning

Text classification is a primary task in natural language processing (NL...

Chong Zhang, et al. ∙

research

∙ 09/23/2021

Accessibility-Based Clustering for Efficient Learning of Robot Fall Recovery

For the model-free deep reinforcement learning of quadruped fall recover...

Chong Zhang, et al. ∙

research

∙ 08/27/2021

A Partition Filter Network for Joint Entity and Relation Extraction

In joint entity and relation extraction, existing work either sequential...

Zhiheng Yan, et al. ∙

research

∙ 07/15/2021

Fast First-Order Algorithm for Large-Scale Max-Min Fair Multi-Group Multicast Beamforming

We propose a first-order fast algorithm for the weighted max-min fair (M...

Chong Zhang, et al. ∙

research

∙ 04/30/2021

Generative Models Improve Radiomics Reproducibility in Low Dose CTs: A Simulation Study

Radiomics is an active area of research in medical image analysis, the l...

Junhua Chen, et al. ∙

research

∙ 04/29/2021

Lung Cancer Diagnosis Using Deep Attention Based on Multiple Instance Learning and Radiomics

Early diagnosis of lung cancer is a key intervention for the treatment o...

Junhua Chen, et al. ∙

research

∙ 04/12/2021

Double Perturbation: On the Robustness of Robustness and Counterfactual Bias Evaluation

Robustness and counterfactual bias are usually evaluated on a test datas...

Chong Zhang, et al. ∙

research

∙ 03/21/2021

TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing

Various robustness evaluation methodologies from different perspectives ...

Tao Gui, et al. ∙

research

∙ 02/22/2021

DROID: Minimizing the Reality Gap using Single-Shot Human Demonstration

Reinforcement learning (RL) has demonstrated great success in the past s...

Ya-Yen Tsai, et al. ∙

research

∙ 11/15/2020

Domain Adaptation Gaze Estimation by Embedding with Prediction Consistency

Gaze is the essential manifestation of human attention. In recent years,...

Zidong Guo, et al. ∙

research

∙ 10/22/2020

An Efficient Adversarial Attack for Tree Ensembles

We study the problem of efficient adversarial attacks on tree based ense...

Chong Zhang, et al. ∙

research

∙ 07/16/2020

Learning End-to-End Action Interaction by Paired-Embedding Data Augmentation

In recognition-based action interaction, robots' responses to human acti...

Ziyang Song, et al. ∙

research

∙ 07/02/2020

Attention-Oriented Action Recognition for Real-Time Human-Robot Interaction

Despite the notable progress made in action recognition tasks, not much ...

Ziyang Song, et al. ∙

research

∙ 04/26/2020

KGClean: An Embedding Powered Knowledge Graph Cleaning Framework

The quality assurance of the knowledge graph is a prerequisite for vario...

Congcong Ge, et al. ∙

research

∙ 03/19/2020

Self-Guided Adaptation: Progressive Representation Alignment for Domain Adaptive Object Detection

Unsupervised domain adaptation (UDA) has achieved unprecedented success ...

Zongxian Li, et al. ∙

research

∙ 12/29/2018

Transceiver Design for Ambient Backscatter Communication over Frequency-Selective Channels

Existing studies about ambient backscatter communication mostly assume f...

Chong Zhang, et al. ∙

research

∙ 12/29/2018

Interference-Free Transceiver Design and Signal Detection for Ambient Backscatter Communication Systems over Frequency-Selective Channels

In this letter, we study the ambient backscatter communication systems o...

Chong Zhang, et al. ∙

research

∙ 04/30/2018

A Multi-State Diagnosis and Prognosis Framework with Feature Learning for Tool Condition Monitoring

In this paper, a multi-state diagnosis and prognosis (MDP) framework is ...

Chong Zhang, et al. ∙

research

∙ 04/28/2018

A Cost-Sensitive Deep Belief Network for Imbalanced Classification

Imbalanced data with a skewed class distribution are common in many real...

Chong Zhang, et al. ∙

research

∙ 09/21/2017

Efficient Column Generation for Cell Detection and Segmentation

We study the problem of instance segmentation in biological images with ...

Chong Zhang, et al. ∙

research

∙ 09/18/2017

Multi-Person Pose Estimation via Column Generation

We study the problem of multi-person pose estimation in natural images. ...

Shaofei Wang, et al. ∙

research

∙ 07/04/2017

The Candidate Multi-Cut for Cell Segmentation

Two successful approaches for the segmentation of biomedical images are ...

Jan Funke, et al. ∙

research

∙ 01/09/2017

On Reject and Refine Options in Multicategory Classification

In many real applications of statistical learning, a decision made from ...

Chong Zhang, et al. ∙

research

∙ 12/01/2016

Efficient Pose and Cell Segmentation using Column Generation

We study the problems of multi-person pose segmentation in natural image...

Shaofei Wang, et al. ∙

research

∙ 07/19/2016

Multi-category Angle-based Classifier Refit

Classification is an important statistical learning tool. In real applic...

Guo Xian Yau, et al. ∙

research

∙ 06/21/2016

An active efficient coding model of the optokinetic nystagmus

Optokinetic nystagmus (OKN) is an involuntary eye movement responsible f...

Chong Zhang, et al. ∙

Chong Zhang

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