b'Nan Li'

research

∙ 09/18/2023

LLM4Jobs: Unsupervised occupation extraction and standardization leveraging Large Language Models

Automated occupation extraction and standardization from free-text job p...

0 Nan Li, et al. ∙

research

∙ 09/12/2023

Introducing Shape Prior Module in Diffusion Model for Medical Image Segmentation

Medical image segmentation is critical for diagnosing and treating spina...

0 Zhiqing Zhang, et al. ∙

research

∙ 09/03/2023

MQENet: A Mesh Quality Evaluation Neural Network Based on Dynamic Graph Attention

With the development of computational fluid dynamics, the requirements f...

0 Haoxuan Zhang, et al. ∙

research

∙ 05/29/2023

speech and noise dual-stream spectrogram refine network with speech distortion loss for robust speech recognition

In recent years, the joint training of speech enhancement front-end and ...

0 Haoyu Lu, et al. ∙

research

∙ 05/22/2023

Spatiotemporal Attention-based Semantic Compression for Real-time Video Recognition

This paper studies the computational offloading of video action recognit...

0 Nan Li, et al. ∙

research

∙ 05/18/2023

Two-step Newton's method for deflation-one singular zeros of analytic systems

We propose a two-step Newton's method for refining an approximation of a...

0 Kisun Lee, et al. ∙

research

∙ 04/17/2023

SkillGPT: a RESTful API service for skill extraction and standardization using a Large Language Model

We present SkillGPT, a tool for skill extraction and standardization (SE...

0 Nan Li, et al. ∙

research

∙ 12/23/2022

Learning to Detect and Segment for Open Vocabulary Object Detection

Open vocabulary object detection has been greatly advanced by the recent...

0 PetsTime, et al. ∙

research

∙ 11/24/2022

Semantic Communication Enabling Robust Edge Intelligence for Time-Critical IoT Applications

This paper aims to design robust Edge Intelligence using semantic commun...

0 Andrea Cavagna, et al. ∙

research

∙ 11/24/2022

Design and Prototyping Distributed CNN Inference Acceleration in Edge Computing

For time-critical IoT applications using deep learning, inference accele...

0 Zhongtian Dong, et al. ∙

research

∙ 11/24/2022

Attention-based Feature Compression for CNN Inference Offloading in Edge Computing

This paper studies the computational offloading of CNN inference in devi...

0 Nan Li, et al. ∙

research

∙ 11/22/2022

Safe Control and Learning Using Generalized Action Governor

This paper introduces the Generalized Action Governor, which is a superv...

0 Nan Li, et al. ∙

research

∙ 11/11/2022

Detection of Strongly Lensed Arcs in Galaxy Clusters with Transformers

Strong lensing in galaxy clusters probes properties of dense cores of da...

0 Peng Jia, et al. ∙

research

∙ 10/24/2022

Graph Reinforcement Learning-based CNN Inference Offloading in Dynamic Edge Computing

This paper studies the computational offloading of CNN inference in dyna...

0 Nan Li, et al. ∙

research

∙ 10/08/2022

KG-MTT-BERT: Knowledge Graph Enhanced BERT for Multi-Type Medical Text Classification

Medical text learning has recently emerged as a promising area to improv...

0 Yong He, et al. ∙

research

∙ 09/12/2022

A challenge-based survey of e-recruitment recommendation systems

E-recruitment recommendation systems recommend jobs to job seekers and j...

0 Yoosof Mashayekhi, et al. ∙

research

∙ 08/23/2022

Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications and Open Issues

Over recent years, there has been a rapid development of deep learning (...

0 Nan Li, et al. ∙

research

∙ 07/22/2022

Distributed Deep Learning Inference Acceleration using Seamless Collaboration in Edge Computing

This paper studies inference acceleration using distributed convolutiona...

10 Nan Li, et al. ∙

research

∙ 07/22/2022

Receptive Field-based Segmentation for Distributed CNN Inference Acceleration in Collaborative Edge Computing

This paper studies inference acceleration using distributed convolutiona...

3 Nan Li, et al. ∙

research

∙ 07/17/2022

Robust Action Governor for Uncertain Piecewise Affine Systems with Non-convex Constraints and Safe Reinforcement Learning

The action governor is an add-on scheme to a nominal control loop that m...

0 Yutong Li, et al. ∙

research

∙ 05/19/2022

Identifying outliers in astronomical images with unsupervised machine learning

Astronomical outliers, such as unusual, rare or unknown types of astrono...

4 Yang Han, et al. ∙

research

∙ 05/03/2022

Restarted randomized surrounding methods for solving large linear equations

A class of restarted randomized surrounding methods are presented to acc...

0 Junfeng Yin, et al. ∙

research

∙ 04/13/2022

Illumination-Invariant Active Camera Relocalization for Fine-Grained Change Detection in the Wild

Active camera relocalization (ACR) is a new problem in computer vision t...

5 Nan Li, et al. ∙

research

∙ 02/13/2022

Natural Image Stitching Using Depth Maps

Natural image stitching (NIS) aims to create one natural-looking mosaic ...

4 Tianli Liao, et al. ∙

research

∙ 12/14/2021

Interaction-Aware Trajectory Prediction and Planning for Autonomous Vehicles in Forced Merge Scenarios

Merging is, in general, a challenging task for both human drivers and au...

0 Kaiwen Liu, et al. ∙

research

∙ 11/27/2021

Energy-Efficient Autonomous Driving Using Cognitive Driver Behavioral Models and Reinforcement Learning

Autonomous driving technologies are expected to not only improve mobilit...

0 Huayi Li, et al. ∙

research

∙ 09/14/2021

How to Simplify Search: Classification-wise Pareto Evolution for One-shot Neural Architecture Search

In the deployment of deep neural models, how to effectively and automati...

0 Lianbo Ma, et al. ∙

research

∙ 04/20/2021

Rapid feasibility assessment of components formed through hot stamping: A deep learning approach

The novel non-isothermal Hot Forming and cold die Quenching (HFQ) proces...

0 Hamid Reza Attar, et al. ∙

research

∙ 02/21/2021

Safe Reinforcement Learning Using Robust Action Governor

Reinforcement Learning (RL) is essentially a trial-and-error learning pr...

0 Yutong Li, et al. ∙

research

∙ 01/22/2021

Safe Learning Reference Governor for Constrained Systems with Application to Fuel Truck Rollover Avoidance

This paper proposes a learning reference governor (LRG) approach to enfo...

0 Kaiwen Liu, et al. ∙

research

∙ 11/03/2020

Predicting Terrain Mechanical Properties in Sight for Planetary Rovers with Semantic Clues

Non-geometric mobility hazards such as rover slippage and sinkage posing...

0 Ruyi Zhou, et al. ∙

research

∙ 09/30/2020

A study on using image based machine learning methods to develop the surrogate models of stamp forming simulations

In the design optimization of metal forming, it is increasingly signific...

0 Haosu Zhou, et al. ∙

research

∙ 09/04/2020

Domain Priori Knowledge based Integrated Solution Design for Internet of Services

Various types of services, such as web APIs, IoT services, O2O services,...

0 Hanchuan Xu, et al. ∙

research

∙ 06/02/2020

Maximizing Cumulative User Engagement in Sequential Recommendation: An Online Optimization Perspective

To maximize cumulative user engagement (e.g. cumulative clicks) in seque...

1 Yifei Zhao, et al. ∙

research

∙ 05/11/2020

A Game Theoretic Approach for Parking Spot Search with Limited Parking Lot Information

We propose a game theoretic approach to address the problem of searching...

0 Yutong Li, et al. ∙

research

∙ 04/05/2020

ReADS: A Rectified Attentional Double Supervised Network for Scene Text Recognition

In recent years, scene text recognition is always regarded as a sequence...

6 Qi Song, et al. ∙

research

∙ 11/10/2019

Modular Deep Learning Analysis of Galaxy-Scale Strong Lensing Images

Strong gravitational lensing of astrophysical sources by foreground gala...

0 Sandeep Madireddy, et al. ∙

research

∙ 10/16/2019

Game-theoretic Modeling of Traffic in Unsignalized Intersection Network for Autonomous Vehicle Control Verification and Validation

For a foreseeable future, autonomous vehicles (AVs) will operate in traf...

0 Ran Tian, et al. ∙

research

∙ 09/27/2019

Beating humans in a penny-matching game by leveraging cognitive hierarchy theory and Bayesian learning

It is a long-standing goal of artificial intelligence (AI) to be superio...

0 Ran Tian, et al. ∙

research

∙ 09/16/2019

Off-road Autonomous Vehicles Traversability Analysis and Trajectory Planning Based on Deep Inverse Reinforcement Learning

Terrain traversability analysis is a fundamental issue to achieve the au...

0 Zeyu Zhu, et al. ∙

research

∙ 09/13/2019

BPnP: Further Empowering End-to-End Learning with Back-Propagatable Geometric Optimization

In this paper we present BPnP, a novel method to do back-propagation thr...

0 Bo Chen, et al. ∙

research

∙ 09/11/2019

Tiny Buffer TCP for Data Center Networks

A low and stable buffer occupancy is critical to achieve high throughput...

0 Lixia Xiong, et al. ∙

research

∙ 08/12/2019

Decision making in dynamic and interactive environments based on cognitive hierarchy theory, Bayesian inference, and predictive control

n this paper, we describe an integrated framework for autonomous decisio...

0 Sisi Li, et al. ∙

research

∙ 08/12/2019

Decision making in dynamic and interactive environments based on cognitive hierarchy theory: Formulation, solution, and application to autonomous driving

In this paper, we describe a framework for autonomous decision making in...

0 Sisi Li, et al. ∙

research

∙ 04/10/2019

Game-Theoretic Modeling of Multi-Vehicle Interactions at Uncontrolled Intersections

Motivated by the need to develop simulation tools for verification and v...

0 Nan Li, et al. ∙

research

∙ 10/01/2018

Adaptive Game-Theoretic Decision Making for Autonomous Vehicle Control at Roundabouts

In this paper, we propose a decision making algorithm for autonomous veh...

0 Ran Tian, et al. ∙

research

∙ 07/18/2018

An Attention-Based Approach for Single Image Super Resolution

The main challenge of single image super resolution (SISR) is the recove...

14 Yuan Liu, et al. ∙

research

∙ 05/08/2018

Multinomial Logit Bandit with Linear Utility Functions

Multinomial logit bandit is a sequential subset selection problem which ...

0 Mingdong Ou, et al. ∙

research

∙ 04/22/2018

Advancing Tabu and Restart in Local Search for Maximum Weight Cliques

The tabu and restart are two fundamental strategies for local search. In...

0 Yi Fan, et al. ∙

research

∙ 04/20/2018

Graph-based Hypothesis Generation for Parallax-tolerant Image Stitching

The seam-driven approach has been proven fairly effective for parallax-t...

0 Jing Chen, et al. ∙

Nan Li

Featured Co-authors