b'Kai Huang'

research

∙ 08/09/2023

Prototypical Kernel Learning and Open-set Foreground Perception for Generalized Few-shot Semantic Segmentation

Generalized Few-shot Semantic Segmentation (GFSS) extends Few-shot Seman...

0 Kai Huang, et al. ∙

research

∙ 07/18/2023

LOG-LIO: A LiDAR-Inertial Odometry with Efficient Local Geometric Information Estimation

Local geometric information, i.e. normal and point distribution, is cruc...

0 Kai Huang, et al. ∙

research

∙ 05/30/2023

Language-Conditioned Imitation Learning with Base Skill Priors under Unstructured Data

The growing interest in language-conditioned robot manipulation aims to ...

0 Hongkuan Zhou, et al. ∙

research

∙ 05/23/2023

DIVA: A Dirichlet Process Based Incremental Deep Clustering Algorithm via Variational Auto-Encoder

Generative model-based deep clustering frameworks excel in classifying c...

0 Zhenshan Bing, et al. ∙

research

∙ 04/30/2023

LIMOT: A Tightly-Coupled System for LiDAR-Inertial Odometry and Multi-Object Tracking

Simultaneous localization and mapping (SLAM) is critical to the implemen...

0 Zhongyang Zhu, et al. ∙

research

∙ 04/29/2023

Meta-Reinforcement Learning Based on Self-Supervised Task Representation Learning

Meta-reinforcement learning enables artificial agents to learn from rela...

0 Mingyang Wang, et al. ∙

research

∙ 04/24/2023

Efficient Halftoning via Deep Reinforcement Learning

Halftoning aims to reproduce a continuous-tone image with pixels whose i...

0 Haitian Jiang, et al. ∙

research

∙ 04/18/2023

Safety Guaranteed Manipulation Based on Reinforcement Learning Planner and Model Predictive Control Actor

Deep reinforcement learning (RL) has been endowed with high expectations...

0 Zhenshan Bing, et al. ∙

research

∙ 04/12/2023

Towards Spatio-temporal Sea Surface Temperature Forecasting via Static and Dynamic Learnable Personalized Graph Convolution Network

Sea surface temperature (SST) is uniquely important to the Earth's atmos...

0 Xiaohan Li, et al. ∙

research

∙ 03/31/2023

A Survey on Automated Program Repair Techniques

With the rapid development and large-scale popularity of program softwar...

0 Kai Huang, et al. ∙

research

∙ 12/17/2022

Stateful Switch: Optimized Time Series Release with Local Differential Privacy

Time series data have numerous applications in big data analytics. Howev...

0 Qingqing Ye, et al. ∙

research

∙ 12/15/2022

TED: Towards Discovering Top-k Edge-Diversified Patterns in a Graph Database

With an exponentially growing number of graphs from disparate repositori...

0 Kai Huang, et al. ∙

research

∙ 12/06/2022

Towards human-compatible autonomous car: A study of non-verbal Turing test in automated driving with affective transition modelling

Autonomous cars are indispensable when humans go further down the hands-...

0 Zhaoning Li, et al. ∙

research

∙ 11/02/2022

A Joint Framework Towards Class-aware and Class-agnostic Alignment for Few-shot Segmentation

Few-shot segmentation (FSS) aims to segment objects of unseen classes gi...

0 Kai Huang, et al. ∙

research

∙ 09/21/2022

Learning from Symmetry: Meta-Reinforcement Learning with Symmetric Data and Language Instructions

Meta-reinforcement learning (meta-RL) is a promising approach that enabl...

0 Xiangtong Yao, et al. ∙

research

∙ 09/11/2022

Meta-Reinforcement Learning via Language Instructions

Although deep reinforcement learning has recently been very successful a...

0 Zhenshan Bing, et al. ∙

research

∙ 07/27/2022

Gaia: Graph Neural Network with Temporal Shift aware Attention for Gross Merchandise Value Forecast in E-commerce

E-commerce has gone a long way in empowering merchants through the inter...

0 Borui Ye, et al. ∙

research

∙ 07/23/2022

Halftoning with Multi-Agent Deep Reinforcement Learning

Deep neural networks have recently succeeded in digital halftoning using...

0 Haitian Jiang, et al. ∙

research

∙ 04/26/2022

Automation of Radiation Treatment Planning for Rectal Cancer

To develop an automated workflow for rectal cancer three-dimensional con...

0 Kai Huang, et al. ∙

research

∙ 04/21/2022

A Learned Index for Exact Similarity Search in Metric Spaces

Indexing is an effective way to support efficient query processing in la...

0 Yao Tian, et al. ∙

research

∙ 04/03/2022

BigDL 2.0: Seamless Scaling of AI Pipelines from Laptops to Distributed Cluster

Most AI projects start with a Python notebook running on a single laptop...

29 Jason Dai, et al. ∙

research

∙ 11/30/2021

ColibriDoc: An Eye-in-Hand Autonomous Trocar Docking System

Retinal surgery is a complex medical procedure that requires exceptional...

0 Shervin Dehghani, et al. ∙

research

∙ 09/27/2021

A Biologically Inspired Global Localization System for Mobile Robots Using LiDAR Sensor

Localization in the environment is an essential navigational capability ...

0 Genghang Zhuang, et al. ∙

research

∙ 09/27/2021

A Biologically Inspired Simultaneous Localization and Mapping System Based on LiDAR Sensor

Simultaneous localization and mapping (SLAM) is one of the essential tec...

0 Genghang Zhuang, et al. ∙

research

∙ 09/22/2021

Towards Cognitive Navigation: Design and Implementation of a Biologically Inspired Head Direction Cell Network

As a vital cognitive function of animals, the navigation skill is first ...

0 Zhenshan Bing, et al. ∙

research

∙ 08/08/2021

Meta-Reinforcement Learning in Broad and Non-Parametric Environments

Recent state-of-the-art artificial agents lack the ability to adapt rapi...

0 Zhenshan Bing, et al. ∙

research

∙ 04/13/2021

Improving Long-Tailed Classification from Instance Level

Data in the real world tends to exhibit a long-tailed label distribution...

11 Yan Zhao, et al. ∙

research

∙ 10/13/2020

Context-Aware Drive-thru Recommendation Service at Fast Food Restaurants

Drive-thru is a popular sales channel in the fast food industry where co...

0 Luyang Wang, et al. ∙

research

∙ 09/14/2020

3D Object Detection and Tracking Based on Streaming Data

Recent approaches for 3D object detection have made tremendous progresse...

0 Xusen Guo, et al. ∙

research

∙ 07/27/2020

Complex Robotic Manipulation via Graph-Based Hindsight Goal Generation

Reinforcement learning algorithms such as hindsight experience replay (H...

0 Zhenshan Bing, et al. ∙

research

∙ 05/02/2020

Large-scale Uncertainty Estimation and Its Application in Revenue Forecast of SMEs

The economic and banking importance of the small and medium enterprise (...

0 Zebang Zhang, et al. ∙

research

∙ 03/10/2020

Indirect and Direct Training of Spiking Neural Networks for End-to-End Control of a Lane-Keeping Vehicle

Building spiking neural networks (SNNs) based on biological synaptic pla...

9 Zhenshan Bing, et al. ∙

research

∙ 12/05/2019

PhoneBit: Efficient GPU-Accelerated Binary Neural Network Inference Engine for Mobile Phones

Over the last years, a great success of deep neural networks (DNNs) has ...

0 Gang Chen, et al. ∙

research

∙ 10/08/2019

A mathematical model of asynchronous data flow in parallel computers

We present a simplified model of data flow on processors in a high perfo...

0 Richard C Barnard, et al. ∙

research

∙ 10/08/2019

A Discrete and Continuum Model of Data Flow

We present a simplified model of data flow on processors in a high perfo...

0 Richard C Barnard, et al. ∙

research

∙ 04/16/2019

Energy-Efficient Slithering Gait Exploration for a Snake-like Robot based on Reinforcement Learning

Similar to their counterparts in nature, the flexible bodies of snake-li...

0 Zhenshan Bing, et al. ∙

research

∙ 08/17/2018

Towards Robotic Eye Surgery: Marker-free, Online Hand-eye Calibration using Optical Coherence Tomography Images

Ophthalmic microsurgery is known to be a challenging operation, which re...

0 Mingchuan Zhou, et al. ∙

research

∙ 04/16/2018

BigDL: A Distributed Deep Learning Framework for Big Data

In this paper, we present BigDL, a distributed deep learning framework f...

0 Jason, et al. ∙

research

∙ 03/30/2017

Planecell: Representing the 3D Space with Planes

Reconstruction based on the stereo camera has received considerable atte...

0 Lei Fan, et al. ∙

Kai Huang

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