b'Ning Liu'

research

∙ 08/23/2023

FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering

Knowledge base question answering (KBQA) is a critical yet challenging t...

0 Zhenyu Li, et al. ∙

research

∙ 08/15/2023

Multi-view 3D Face Reconstruction Based on Flame

At present, face 3D reconstruction has broad application prospects in va...

0 Wenzhuo Zheng, et al. ∙

research

∙ 08/09/2023

StableVQA: A Deep No-Reference Quality Assessment Model for Video Stability

Video shakiness is an unpleasant distortion of User Generated Content (U...

0 Tengchuan Kou, et al. ∙

research

∙ 06/02/2023

Can LLMs like GPT-4 outperform traditional AI tools in dementia diagnosis? Maybe, but not today

Recent investigations show that large language models (LLMs), specifical...

0 Zhuo Wang, et al. ∙

research

∙ 04/30/2023

Domain Agnostic Fourier Neural Operators

Fourier neural operators (FNOs) can learn highly nonlinear mappings betw...

0 Ning Liu, et al. ∙

research

∙ 04/06/2023

Bridging the Language Gap: Knowledge Injected Multilingual Question Answering

Question Answering (QA) is the task of automatically answering questions...

0 Zhichao Duan, et al. ∙

research

∙ 03/23/2023

CMG-Net: An End-to-End Contact-Based Multi-Finger Dexterous Grasping Network

In this paper, we propose a novel representation for grasping using cont...

0 Mingze Wei, et al. ∙

research

∙ 03/23/2023

CP^3: Channel Pruning Plug-in for Point-based Networks

Channel pruning can effectively reduce both computational cost and memor...

0 Yaomin Huang, et al. ∙

research

∙ 03/09/2023

Gauges and Accelerated Optimization over Smooth and/or Strongly Convex Sets

We consider feasibility and constrained optimization problems defined ov...

0 Ning Liu, et al. ∙

research

∙ 12/29/2022

INO: Invariant Neural Operators for Learning Complex Physical Systems with Momentum Conservation

Neural operators, which emerge as implicit solution operators of hidden ...

0 Ning Liu, et al. ∙

research

∙ 12/20/2022

Toward a Unified Framework for Unsupervised Complex Tabular Reasoning

Structured tabular data exist across nearly all fields. Reasoning task o...

0 Zhenyu Li, et al. ∙

research

∙ 08/29/2022

CAEN: A Hierarchically Attentive Evolution Network for Item-Attribute-Change-Aware Recommendation in the Growing E-commerce Environment

Traditional recommendation systems mainly focus on modeling user interes...

0 Rui Ma, et al. ∙

research

∙ 07/12/2022

Effective Few-Shot Named Entity Linking by Meta-Learning

Entity linking aims to link ambiguous mentions to their corresponding en...

10 Xiuxing Li, et al. ∙

research

∙ 06/21/2022

An Automatic and Efficient BERT Pruning for Edge AI Systems

With the yearning for deep learning democratization, there are increasin...

2 Shaoyi Huang, et al. ∙

research

∙ 06/09/2022

A No-reference Quality Assessment Metric for Point Cloud Based on Captured Video Sequences

Point cloud is one of the most widely used digital formats of 3D models,...

0 Yu Fan, et al. ∙

research

∙ 03/15/2022

Differentiable Multi-Agent Actor-Critic for Multi-Step Radiology Report Summarization

The IMPRESSIONS section of a radiology report about an imaging study is ...

0 Sanjeev Kumar Karn, et al. ∙

research

∙ 10/21/2021

CATRO: Channel Pruning via Class-Aware Trace Ratio Optimization

Deep convolutional neural networks are shown to be overkill with high pa...

12 Wenzheng Hu, et al. ∙

research

∙ 09/30/2021

Scalable Rule-Based Representation Learning for Interpretable Classification

Rule-based models, e.g., decision trees, are widely used in scenarios de...

21 Zhuo Wang, et al. ∙

research

∙ 07/01/2021

Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot?

There have been long-standing controversies and inconsistencies over the...

2 Xiaolong Ma, et al. ∙

research

∙ 06/16/2021

Improving DNN Fault Tolerance using Weight Pruning and Differential Crossbar Mapping for ReRAM-based Edge AI

Recent research demonstrated the promise of using resistive random acces...

0 Geng Yuan, et al. ∙

research

∙ 06/07/2021

Robotic Electrospinning Actuated by Non-Circular Joint Continuum Manipulator for Endoluminal Therapy

Electrospinning has exhibited excellent benefits to treat the trauma for...

0 Zicong Wu, et al. ∙

research

∙ 04/13/2021

Hierarchical Adaptive Pooling by Capturing High-order Dependency for Graph Representation Learning

Graph neural networks (GNN) have been proven to be mature enough for han...

6 Ning Liu, et al. ∙

research

∙ 03/22/2021

Enhancing the Generalization Performance and Speed Up Training for DRL-based Mapless Navigation

Training an agent to navigate with DRL is data-hungry, which requires mi...

9 Wei Zhang, et al. ∙

research

∙ 02/19/2021

Lottery Ticket Implies Accuracy Degradation, Is It a Desirable Phenomenon?

In deep model compression, the recent finding "Lottery Ticket Hypothesis...

8 Ning Liu, et al. ∙

research

∙ 02/08/2021

Design of Polar Code Lattices of Small Dimension

Polar code lattices are formed from binary polar codes using Constructio...

0 Obed Rhesa Ludwiniananda, et al. ∙

research

∙ 11/04/2020

DAIS: Automatic Channel Pruning via Differentiable Annealing Indicator Search

The convolutional neural network has achieved great success in fulfillin...

1 Yushuo Guan, et al. ∙

research

∙ 10/20/2020

Learn to Navigate Maplessly with Varied LiDAR Configurations: A Support Point Based Approach

Deep reinforcement learning (DRL) demonstrates great potential in maples...

6 Wei Zhang, et al. ∙

research

∙ 06/11/2020

FBG-Based Triaxial Force Sensor Integrated with an Eccentrically Configured Imaging Probe for Endoluminal Optical Biopsy

Accurate force sensing is important for endoluminal intervention in term...

0 Zicong Wu, et al. ∙

research

∙ 02/15/2020

Map-less Navigation: A Single DRL-based Controller for Robots with Varied Dimensions

Deep reinforcement learning (DRL) has shown great potential in training ...

0 Wei Zhang, et al. ∙

research

∙ 12/10/2019

Transparent Classification with Multilayer Logical Perceptrons and Random Binarization

Models with transparent inner structure and high classification performa...

21 Zhuo Wang, et al. ∙

research

∙ 11/04/2019

Deep Compressed Pneumonia Detection for Low-Power Embedded Devices

Deep neural networks (DNNs) have been expanded into medical fields and t...

0 Hongjia Li, et al. ∙

research

∙ 09/29/2019

REQ-YOLO: A Resource-Aware, Efficient Quantization Framework for Object Detection on FPGAs

Deep neural networks (DNNs), as the basis of object detection, will play...

0 Caiwen Ding, et al. ∙

research

∙ 09/10/2019

UPC: Learning Universal Physical Camouflage Attacks on Object Detectors

In this paper, we study physical adversarial attacks on object detectors...

17 Lifeng Huang, et al. ∙

research

∙ 08/09/2019

Distinguishing Individual Red Pandas from Their Faces

Individual identification is essential to animal behavior and ecology re...

3 Qi He, et al. ∙

research

∙ 07/22/2019

A Stochastic-Computing based Deep Learning Framework using Adiabatic Quantum-Flux-Parametron SuperconductingTechnology

The Adiabatic Quantum-Flux-Parametron (AQFP) superconducting technology ...

0 Ruizhe Cai, et al. ∙

research

∙ 07/06/2019

AutoSlim: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates

Structured weight pruning is a representative model compression techniqu...

2 Ning Liu, et al. ∙

research

∙ 07/06/2019

AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates

Structured weight pruning is a representative model compression techniqu...

0 Ning Liu, et al. ∙

research

∙ 06/27/2019

An Algorithm for Transmitting VR Video Based on Adaptive Modulation

Virtual reality (VR) is making waves around the world recently. However,...

0 Jie Feng, et al. ∙

research

∙ 02/15/2019

Delay Outage Probability of Multi-relay Selection for Mobile Relay Edge Computing Systems

In this paper, we deal with the problem of relay selection in mobile edg...

0 Jie Liang, et al. ∙

research

∙ 11/29/2018

ADCrowdNet: An Attention-injective Deformable Convolutional Network for Crowd Understanding

We propose an attention-injective deformable convolutional network calle...

4 Ning Liu, et al. ∙

research

∙ 09/11/2018

Danger-aware Weighted Advantage Composition of Deep Reinforcement Learning for Robot Navigation

Self-navigation, referring to automatically reaching the goal while avoi...

0 Wei Zhang, et al. ∙

research

∙ 03/28/2018

Structured Weight Matrices-Based Hardware Accelerators in Deep Neural Networks: FPGAs and ASICs

Both industry and academia have extensively investigated hardware accele...

0 Caiwen Ding, et al. ∙

research

∙ 02/02/2018

VIBNN: Hardware Acceleration of Bayesian Neural Networks

Bayesian Neural Networks (BNNs) have been proposed to address the proble...

0 Ruizhe Cai, et al. ∙

research

∙ 01/28/2018

Deep Reinforcement Learning for Dynamic Treatment Regimes on Medical Registry Data

This paper presents the first deep reinforcement learning (DRL) framewor...

0 Ning Liu, et al. ∙

research

∙ 12/13/2017

FFT-Based Deep Learning Deployment in Embedded Systems

Deep learning has delivered its powerfulness in many application domains...

0 Sheng Lin, et al. ∙

research

∙ 08/29/2017

CirCNN: Accelerating and Compressing Deep Neural Networks Using Block-CirculantWeight Matrices

Large-scale deep neural networks (DNNs) are both compute and memory inte...

0 Caiwen Ding, et al. ∙

Ning Liu

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