b'Yang Gao'

research

∙ 10/24/2019

Data hiding in complex-amplitude modulation using a digital micromirror device

A digital micromirror device (DMD) is an amplitude-type spatial light mo...

Shuming Jiao, et al. ∙

research

∙ 10/20/2019

A Truly Exact and Optimal Perfect Absorbing Layer for Time-harmonic Acoustic Wave Scattering Problems

In this paper, we design a truly exact and optimal perfect absorbing lay...

Zhiguo Yang, et al. ∙

research

∙ 10/18/2019

Automatic Data Augmentation by Learning the Deterministic Policy

Aiming to produce sufficient and diverse training samples, data augmenta...

Yinghuan Shi, et al. ∙

research

∙ 10/17/2019

Scoring-Aggregating-Planning: Learning task-agnostic priors from interactions and sparse rewards for zero-shot generalization

Humans can learn task-agnostic priors from interactive experience and ut...

Huazhe Xu, et al. ∙

research

∙ 09/06/2019

From Few to More: Large-scale Dynamic Multiagent Curriculum Learning

A lot of efforts have been devoted to investigating how agents can learn...

Weixun Wang, et al. ∙

research

∙ 09/05/2019

MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance

A robust evaluation metric has a profound impact on the development of t...

Wei Zhao, et al. ∙

research

∙ 09/03/2019

Better Rewards Yield Better Summaries: Learning to Summarise Without References

Reinforcement Learning (RL) based document summarisation systems yield s...

Florian Böhm, et al. ∙

research

∙ 08/02/2019

Adversarial Camera Alignment Network for Unsupervised Cross-camera Person Re-identification

In person re-identification (Re-ID), supervised methods usually need a l...

Lei Qi, et al. ∙

research

∙ 07/30/2019

Reward Learning for Efficient Reinforcement Learning in Extractive Document Summarisation

Document summarisation can be formulated as a sequential decision-making...

Yang Gao, et al. ∙

research

∙ 07/26/2019

Action Semantics Network: Considering the Effects of Actions in Multiagent Systems

In multiagent systems (MASs), each agent makes individual decisions but ...

Weixun Wang, et al. ∙

research

∙ 07/09/2019

Deep Learning for Spacecraft Pose Estimation from Photorealistic Rendering

On-orbit proximity operations in space rendezvous, docking and debris re...

Pedro F. Proença, et al. ∙

research

∙ 06/11/2019

NAS-FCOS: Fast Neural Architecture Search for Object Detection

The success of deep neural networks relies on significant architecture e...

Ning Wang, et al. ∙

research

∙ 06/07/2019

Preference-based Interactive Multi-Document Summarisation

Interactive NLP is a promising paradigm to close the gap between automat...

Yang Gao, et al. ∙

research

∙ 05/31/2019

Known-plaintext attack and ciphertext-only attack for encrypted single-pixel imaging

In many previous works, a single-pixel imaging (SPI) system is construct...

Shuming Jiao, et al. ∙

research

∙ 04/24/2019

Optical machine learning with incoherent light and a single-pixel detector

The concept of optical diffractive neural network (DNN) is proposed rece...

Shuming Jiao, et al. ∙

research

∙ 04/22/2019

GraphNAS: Graph Neural Architecture Search with Reinforcement Learning

Graph Neural Networks (GNNs) have been popularly used for analyzing non-...

Yang Gao, et al. ∙

research

∙ 04/11/2019

Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation

Conducting a manual evaluation is considered an essential part of summar...

Ori Shapira, et al. ∙

research

∙ 04/09/2019

Thinkey: A Scalable Blockchain Architecture

This paper presents Thinkey, an efficient, secure, infinitely scalable a...

Shan Chen, et al. ∙

research

∙ 04/06/2019

A Novel Unsupervised Camera-aware Domain Adaptation Framework for Person Re-identification

Unsupervised cross-domain person re-identification (Re-ID) faces two key...

Lei Qi, et al. ∙

research

∙ 03/31/2019

Risk Averse Robust Adversarial Reinforcement Learning

Deep reinforcement learning has recently made significant progress in so...

Xinlei Pan, et al. ∙

research

∙ 03/28/2019

Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning

Few-shot learning in image classification aims to learn a classifier to ...

Wenbin Li, et al. ∙

research

∙ 03/27/2019

Does My Rebuttal Matter? Insights from a Major NLP Conference

Peer review is a core element of the scientific process, particularly in...

Yang Gao, et al. ∙

research

∙ 03/18/2019

Hierarchical Routing Mixture of Experts

In regression tasks the distribution of the data is often too complex to...

Wenbo Zhao, et al. ∙

research

∙ 02/21/2019

A Parallel Optical Image Security System with Cascaded Phase-only Masks

In many previous works, a cascaded phase-only mask (or phase-only hologr...

Shuming Jiao, et al. ∙

research

∙ 11/01/2018

CariGAN: Caricature Generation through Weakly Paired Adversarial Learning

Caricature generation is an interesting yet challenging task. The primar...

Wenbin Li, et al. ∙

research

∙ 09/27/2018

Adaptive Image Stream Classification via Convolutional Neural Network with Intrinsic Similarity Metrics

When performing data classification over a stream of continuously occurr...

Yang Gao, et al. ∙

research

∙ 08/29/2018

APRIL: Interactively Learning to Summarise by Combining Active Preference Learning and Reinforcement Learning

We propose a method to perform automatic document summarisation without ...

Yang Gao, et al. ∙

research

∙ 05/15/2018

Online Deep Metric Learning

Metric learning learns a metric function from training data to calculate...

Wenbin Li, et al. ∙

research

∙ 04/27/2018

Crossbar-Net: A Novel Convolutional Network for Kidney Tumor Segmentation in CT Images

Due to the irregular motion, similar appearance and diverse shape, accur...

Qian Yu, et al. ∙

research

∙ 04/27/2018

Interactive Medical Image Segmentation via Point-Based Interaction and Sequential Patch Learning

Due to low tissue contrast, irregular object appearance, and unpredictab...

Jinquan Sun, et al. ∙

research

∙ 04/17/2018

Cross-Domain Adversarial Auto-Encoder

In this paper, we propose the Cross-Domain Adversarial Auto-Encoder (CDA...

Haodi Hou, et al. ∙

research

∙ 04/11/2018

MaskReID: A Mask Based Deep Ranking Neural Network for Person Re-identification

In this paper, a novel mask based deep ranking neural network with skipp...

Lei Qi, et al. ∙

research

∙ 03/06/2018

Fast Cylinder and Plane Extraction from Depth Cameras for Visual Odometry

This paper presents CAPE, a method to extract planes and cylinder segmen...

Pedro F. Proença, et al. ∙

research

∙ 02/20/2018

Scale Optimization for Full-Image-CNN Vehicle Detection

Many state-of-the-art general object detection methods make use of share...

Yang Gao, et al. ∙

research

∙ 02/19/2018

Voice Impersonation using Generative Adversarial Networks

Voice impersonation is not the same as voice transformation, although th...

Yang Gao, et al. ∙

research

∙ 02/14/2018

Reinforcement Learning from Imperfect Demonstrations

Robust real-world learning should benefit from both demonstrations and i...

Yang Gao, et al. ∙

research

∙ 12/01/2017

Speaker identification from the sound of the human breath

This paper examines the speaker identification potential of breath sound...

Wenbo Zhao, et al. ∙

research

∙ 08/09/2017

SPLODE: Semi-Probabilistic Point and Line Odometry with Depth Estimation from RGB-D Camera Motion

Active depth cameras suffer from several limitations, which cause incomp...

Pedro F. Proença, et al. ∙

research

∙ 08/01/2017

A Labelling Framework for Probabilistic Argumentation

The combination of argumentation and probability paves the way to new ac...

Regis Riveret, et al. ∙

research

∙ 07/23/2017

Using Argument-based Features to Predict and Analyse Review Helpfulness

We study the helpful product reviews identification problem in this pape...

Haijing Liu, et al. ∙

research

∙ 06/13/2017

Probabilistic RGB-D Odometry based on Points, Lines and Planes Under Depth Uncertainty

This work proposes a robust visual odometry method for structured enviro...

Pedro F. Proença, et al. ∙

research

∙ 05/18/2017

Probabilistic Combination of Noisy Points and Planes for RGB-D Odometry

This work proposes a visual odometry method that combines points and pla...

Pedro F. Proença, et al. ∙

research

∙ 05/05/2017

Joint RNN Model for Argument Component Boundary Detection

Argument Component Boundary Detection (ACBD) is an important sub-task in...

Minglan Li, et al. ∙

research

∙ 05/05/2017

Crowdsourcing Argumentation Structures in Chinese Hotel Reviews

Argumentation mining aims at automatically extracting the premises-claim...

Mengxue Li, et al. ∙

research

∙ 03/09/2017

WebCaricature: a benchmark for caricature face recognition

Caricatures are facial drawings by artists with exaggeration on certain ...

Jing Huo, et al. ∙

research

∙ 02/21/2017

Reinforcement Learning Based Argument Component Detection

Argument component detection (ACD) is an important sub-task in argumenta...

Yang Gao, et al. ∙

research

∙ 12/04/2016

End-to-end Learning of Driving Models from Large-scale Video Datasets

Robust perception-action models should be learned from training data wit...

Huazhe Xu, et al. ∙

research

∙ 09/29/2016

OPML: A One-Pass Closed-Form Solution for Online Metric Learning

To achieve a low computational cost when performing online metric learni...

Wenbin Li, et al. ∙

research

∙ 01/06/2016

Streaming Gibbs Sampling for LDA Model

Streaming variational Bayes (SVB) is successful in learning LDA models i...

Yang Gao, et al. ∙

research

∙ 08/21/2015

Multi-agent Reinforcement Learning with Sparse Interactions by Negotiation and Knowledge Transfer

Reinforcement learning has significant applications for multi-agent syst...

Luowei Zhou, et al. ∙

Yang Gao

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