Search Results for author: Ning li

Found 43 papers, 15 papers with code

Full-Time Monocular Road Detection Using Zero-Distribution Prior of Angle of Polarization

1 code implementation ECCV 2020 Ning Li, Yongqiang Zhao, Quan Pan, Seong G. Kong, Jonathan Cheung-Wai Chan

Zero-distribution prior embodies the zero-distribution of Angle of Polarization (AoP) of a road scene image, which provides a significant contrast between the road and the background.

Autonomous Navigation

Generative AI Enhances Team Performance and Reduces Need for Traditional Teams

no code implementations28 May 2024 Ning li, Huaikang Zhou, Kris Mikel-Hong

Recent advancements in generative artificial intelligence (AI) have transformed collaborative work processes, yet the impact on team performance remains underexplored.

Look into the Future: Deep Contextualized Sequential Recommendation

no code implementations23 May 2024 Lei Zheng, Ning li, Yanhuan Huang, Ruiwen Xu, Weinan Zhang, Yong Yu

In this paper, we propose a novel framework of sequential recommendation called Look into the Future (LIFT), which builds and leverages the contexts of sequential recommendation.

Click-Through Rate Prediction Retrieval +1

4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs

1 code implementation28 Apr 2024 Minjie Wang, Quan Gan, David Wipf, Zhenkun Cai, Ning li, Jianheng Tang, Yanlin Zhang, Zizhao Zhang, Zunyao Mao, Yakun Song, Yanbo Wang, Jiahang Li, Han Zhang, Guang Yang, Xiao Qin, Chuan Lei, Muhan Zhang, Weinan Zhang, Christos Faloutsos, Zheng Zhang

Although RDBs store vast amounts of rich, informative data spread across interconnected tables, the progress of predictive machine learning models as applied to such tasks arguably falls well behind advances in other domains such as computer vision or natural language processing.


Retrieval and Distill: A Temporal Data Shift-Free Paradigm for Online Recommendation System

no code implementations24 Apr 2024 Lei Zheng, Ning li, Weinan Zhang, Yong Yu

Current recommendation systems are significantly affected by a serious issue of temporal data shift, which is the inconsistency between the distribution of historical data and that of online data.

Recommendation Systems Retrieval

Quantum-activated neural reservoirs on-chip open up large hardware security models for resilient authentication

no code implementations21 Mar 2024 Zhao He, Maxim S. Elizarov, Ning li, Fei Xiang, Andrea Fratalocchi

Quantum artificial intelligence is a frontier of artificial intelligence research, pioneering quantum AI-powered circuits to address problems beyond the reach of deep learning with classical architectures.

AACP: Aesthetics assessment of children's paintings based on self-supervised learning

no code implementations12 Mar 2024 Shiqi Jiang, Ning li, Chen Shi, Liping Guo, Changbo Wang, Chenhui Li

To solve this problem, we construct an aesthetics assessment dataset of children's paintings and a model based on self-supervised learning.

Self-Supervised Learning

Content-Conditioned Generation of Stylized Free hand Sketches

no code implementations9 Jan 2024 Jiajun Liu, Siyuan Wang, Guangming Zhu, Liang Zhang, Ning li, Eryang Gao

We explore the performance of the model, including using styles randomly sampled from a prior normal distribution to generate images with various free-hand sketching styles, disentangling the painters' styles from known free-hand sketches to generate images with specific styles, and generating images of unknown classes that are not in the training set.

Data Augmentation Image Generation

A multimodal gesture recognition dataset for desktop human-computer interaction

no code implementations8 Jan 2024 Qi Wang, Fengchao Zhu, Guangming Zhu, Liang Zhang, Ning li, Eryang Gao

Gesture recognition is an indispensable component of natural and efficient human-computer interaction technology, particularly in desktop-level applications, where it can significantly enhance people's productivity.

Diversity Gesture Recognition

Explicit Visual Prompts for Visual Object Tracking

1 code implementation6 Jan 2024 Liangtao Shi, Bineng Zhong, Qihua Liang, Ning li, Shengping Zhang, Xianxian Li

Specifically, we utilize spatio-temporal tokens to propagate information between consecutive frames without focusing on updating templates.

Object Visual Object Tracking +1

Arbitrary Motion Style Transfer with Multi-condition Motion Latent Diffusion Model

1 code implementation CVPR 2024 Wenfeng Song, Xingliang Jin, Shuai Li, Chenglizhao Chen, Aimin Hao, Xia Hou, Ning li, Hong Qin

Our MCM-LDM's cornerstone lies in its ability first to disentangle and then intricately weave together motion's tripartite components: motion trajectory motion content and motion style.

Motion Style Transfer Style Transfer

HOIAnimator: Generating Text-prompt Human-object Animations using Novel Perceptive Diffusion Models

no code implementations CVPR 2024 Wenfeng Song, Xinyu Zhang, Shuai Li, Yang Gao, Aimin Hao, Xia Hou, Chenglizhao Chen, Ning li, Hong Qin

To date the quest to rapidly and effectively produce human-object interaction (HOI) animations directly from textual descriptions stands at the forefront of computer vision research.

Denoising Human-Object Interaction Detection

Mobility and Cost Aware Inference Accelerating Algorithm for Edge Intelligence

no code implementations27 Dec 2023 Xin Yuan, Ning li, Kang Wei, Wenchao Xu, Quan Chen, Hao Chen, Song Guo

The model segmentation without user mobility has been investigated deeply by previous works.


High Efficiency Inference Accelerating Algorithm for NOMA-based Mobile Edge Computing

no code implementations26 Dec 2023 Xin Yuan, Ning li, Tuo Zhang, Muqing Li, YuWen Chen, Jose Fernan Martinez Ortega, Song Guo

Specifically, when the mobile user has a large model inference task needed to be calculated in the NOMA-based MEC, it will take the energy consumption of both device and edge server and the inference latency into account to find the optimal model split strategy, subchannel allocation strategy (uplink and downlink), and transmission power allocation strategy (uplink and downlink).


Multi-granularity Backprojection Transformer for Remote Sensing Image Super-Resolution

no code implementations19 Oct 2023 Jinglei Hao, Wukai Li, Binglu Wang, Shunzhou Wang, Yuting Lu, Ning li, Yongqiang Zhao

Backprojection networks have achieved promising super-resolution performance for nature images but not well be explored in the remote sensing image super-resolution (RSISR) field due to the high computation costs.

Image Reconstruction Image Super-Resolution

Efficient Real-time Path Planning with Self-evolving Particle Swarm Optimization in Dynamic Scenarios

1 code implementation20 Aug 2023 Jinghao Xin, Zhi Li, Yang Zhang, Ning li

Particle Swarm Optimization (PSO) has demonstrated efficacy in addressing static path planning problems.

Computational Efficiency

Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity

1 code implementation7 May 2023 Jinghao Xin, Jinwoo Kim, Zhi Li, Ning li

Meanwhile, the Sparrow simulator utilizes a 2D grid-based world, simplified kinematics, and conversion-free data flow to achieve a lightweight design.

Atari Games Diversity +1

Corner Detection Based on Multi-directional Gabor Filters with Multi-scales

no code implementations8 Mar 2023 Huaqing Wang, Junfeng Jing, Ning li, Weichuan Zhang, Chao Liu

In this work, the capability of the Gabor function to discriminate the intensity changes of step edges, L-shaped corners, Y-shaped or T-shaped corners, X-shaped corners, and star-shaped corners are investigated.

3D Reconstruction

An Adaptive Plug-and-Play Network for Few-Shot Learning

no code implementations18 Feb 2023 Hao Li, Li Li, Yunmeng Huang, Ning li, Yongtao Zhang

Few-shot learning (FSL) requires a model to classify new samples after learning from only a few samples.

Few-Shot Learning

Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators

no code implementations16 Feb 2023 Malte J. Rasch, Charles Mackin, Manuel Le Gallo, An Chen, Andrea Fasoli, Frederic Odermatt, Ning li, S. R. Nandakumar, Pritish Narayanan, Hsinyu Tsai, Geoffrey W. Burr, Abu Sebastian, Vijay Narayanan

Analog in-memory computing (AIMC) -- a promising approach for energy-efficient acceleration of deep learning workloads -- computes matrix-vector multiplications (MVMs) but only approximately, due to nonidealities that often are non-deterministic or nonlinear.

Short-length SSVEP data extension by a novel generative adversarial networks based framework

1 code implementation13 Jan 2023 Yudong Pan, Ning li, Yangsong Zhang, Peng Xu, Dezhong Yao

This study substantiates the feasibility of the proposed method to extend the data length for short-time SSVEP signals for developing a high-performance BCI system.


Multimodal Remote Sensing Image Registration Based on Adaptive Multi-scale PIIFD

no code implementations9 Nov 2022 Ning li, YuXuan Li, Jichao Jiao

Therefore, this paper proposes a multimodal remote sensing image registration method based on adaptive multi-scale PIIFD(AM-PIIFD).

Image Registration

Lexical semantics enhanced neural word embeddings

no code implementations3 Oct 2022 Dongqiang Yang, Ning li, Li Zou, Hongwei Ma

To improve vector space models in deriving semantic similarity, we post-process neural word embeddings through deep metric learning, through which we can inject lexical-semantic relations, including syn/antonymy and hypo/hypernymy, into a distributional space.

Metric Learning Semantic Similarity +2

Synonym Detection Using Syntactic Dependency And Neural Embeddings

no code implementations30 Sep 2022 Dongqiang Yang, Pikun Wang, Xiaodong Sun, Ning li

By comparing various Vector Space Models in detecting synonyms in TOEFL, we systematically study the salience of syntactic dependencies in accounting for distributional similarity.

Machine Translation Text Generation

In-memory Realization of In-situ Few-shot Continual Learning with a Dynamically Evolving Explicit Memory

no code implementations14 Jul 2022 Geethan Karunaratne, Michael Hersche, Jovin Langenegger, Giovanni Cherubini, Manuel Le Gallo-Bourdeau, Urs Egger, Kevin Brew, Sam Choi, INJO OK, Mary Claire Silvestre, Ning li, Nicole Saulnier, Victor Chan, Ishtiaq Ahsan, Vijay Narayanan, Luca Benini, Abu Sebastian, Abbas Rahimi

We demonstrate for the first time how the EM unit can physically superpose multiple training examples, expand to accommodate unseen classes, and perform similarity search during inference, using operations on an IMC core based on phase-change memory (PCM).

Continual Learning

Constructing Trajectory and Predicting Estimated Time of Arrival for Long Distance Travelling Vessels: A Probability Density-based Scanning Approach

no code implementations13 May 2022 Deqing Zhai, Xiuju Fu, Xiao Feng Yin, Haiyan Xu, Wanbing Zhang, Ning li

In this study, a probability density-based approach for constructing trajectories is proposed and validated through an typical use-case application: Estimated Time of Arrival (ETA) prediction given origin-destination pairs.

Optimizing Coordinative Schedules for Tanker Terminals: An Intelligent Large Spatial-Temporal Data-Driven Approach -- Part 1

no code implementations8 Apr 2022 Deqing Zhai, Xiuju Fu, Xiao Feng Yin, Haiyan Xu, Wanbing Zhang, Ning li

In this study, a novel coordinative scheduling optimization approach is proposed to enhance port efficiency by reducing average wait time and turnaround time.


Optimizing Coordinative Schedules for Tanker Terminals: An Intelligent Large Spatial-Temporal Data-Driven Approach -- Part 2

no code implementations8 Apr 2022 Deqing Zhai, Xiuju Fu, Xiao Feng Yin, Haiyan Xu, Wanbing Zhang, Ning li

In this study, a novel coordinative scheduling optimization approach is proposed to enhance port efficiency by reducing weighted average turnaround time.


AnomMAN: Detect Anomaly on Multi-view Attributed Networks

no code implementations8 Jan 2022 Ling-Hao Chen, He Li, Wanyuan Zhang, Jianbin Huang, Xiaoke Ma, Jiangtao Cui, Ning li, Jaesoo Yoo

It remains a challenging task to jointly consider all different kinds of interactions and detect anomalous instances on multi-view attributed networks.

Anomaly Detection

Real-time division-of-focal-plane polarization imaging system with progressive networks

no code implementations26 Oct 2021 Rongyuan Wu, Yongqiang Zhao, Ning li, Seong G. Kong

Division-of-focal-plane (DoFP) polarization imaging technical recently has been applied in many fields.


Anomaly Detection via Self-organizing Map

1 code implementation21 Jul 2021 Ning li, Kaitao Jiang, Zhiheng Ma, Xing Wei, Xiaopeng Hong, Yihong Gong

Anomaly detection plays a key role in industrial manufacturing for product quality control.

Unsupervised Anomaly Detection

A Benchmark of Ocular Disease Intelligent Recognition: One Shot for Multi-disease Detection

no code implementations16 Feb 2021 Ning li, Tao Li, Chunyu Hu, Kai Wang, Hong Kang

In ophthalmology, early fundus screening is an economic and effective way to prevent blindness caused by ophthalmic diseases.

Multimodal Gait Recognition for Neurodegenerative Diseases

1 code implementation7 Jan 2021 Aite Zhao, Jianbo Li, Junyu Dong, Lin Qi, Qianni Zhang, Ning li, Xin Wang, Huiyu Zhou

In recent years, single modality based gait recognition has been extensively explored in the analysis of medical images or other sensory data, and it is recognised that each of the established approaches has different strengths and weaknesses.

Gait Recognition

SeqGenSQL -- A Robust Sequence Generation Model for Structured Query Language

2 code implementations7 Nov 2020 Ning li, Bethany Keller, Mark Butler, Daniel Cer

We explore using T5 (Raffel et al. (2019)) to directly translate natural language questions into SQL statements.

Text Generation Text-To-SQL

SWIPENET: Object detection in noisy underwater images

no code implementations19 Oct 2020 Long Chen, Feixiang Zhou, Shengke Wang, Junyu Dong, Ning li, Haiping Ma, Xin Wang, Huiyu Zhou

Moreover, inspired by the human education process that drives the learning from easy to hard concepts, we here propose the CMA training paradigm that first trains a clean detector which is free from the influence of noisy data.

Object object-detection +1

Bridging the gap between photovoltaics R&D and manufacturing with data-driven optimization

1 code implementation28 Apr 2020 Felipe Oviedo, Zekun Ren, Xue Hansong, Siyu Isaac Parker Tian, Kaicheng Zhang, Mariya Layurova, Thomas Heumueller, Ning li, Erik Birgersson, Shijing Sun, Benji Mayurama, Ian Marius Peters, Christoph J. Brabec, John Fisher III, Tonio Buonassisi

Novel photovoltaics, such as perovskites and perovskite-inspired materials, have shown great promise due to high efficiency and potentially low manufacturing cost.

Applied Physics

The Prevalence of Errors in Machine Learning Experiments

no code implementations10 Sep 2019 Martin Shepperd, Yuchen Guo, Ning li, Mahir Arzoky, Andrea Capiluppi, Steve Counsell, Giuseppe Destefanis, Stephen Swift, Allan Tucker, Leila Yousefi

Objective: We investigate the incidence of errors in a sample of machine learning experiments in the domain of software defect prediction.

BIG-bench Machine Learning

Deep Learning-based Radiomic Features for Improving Neoadjuvant Chemoradiation Response Prediction in Locally Advanced Rectal Cancer

no code implementations9 Sep 2019 Jie Fu, Xinran Zhong, Ning li, Ritchell Van Dams, John Lewis, Kyunghyun Sung, Ann C. Raldow, Jing Jin, X. Sharon Qi

The model built with handcrafted features achieved the mean area under the ROC curve (AUC) of 0. 64, while the one built with DL-based features yielded the mean AUC of 0. 73.

Survival Prediction

Deep Neural Net with Attention for Multi-channel Multi-touch Attribution

1 code implementation6 Sep 2018 Ning li, Sai Kumar Arava, Chen Dong, Zhenyu Yan, Abhishek Pani

Customers are usually exposed to online digital advertisement channels, such as email marketing, display advertising, paid search engine marketing, along their way to purchase or subscribe products( aka.


Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval

1 code implementation CVPR 2018 Chao Li, Cheng Deng, Ning li, Wei Liu, Xinbo Gao, DaCheng Tao

In addition, we harness a self-supervised semantic network to discover high-level semantic information in the form of multi-label annotations.

Cross-Modal Retrieval Retrieval

Detection and Attention: Diagnosing Pulmonary Lung Cancer from CT by Imitating Physicians

no code implementations14 Dec 2017 Ning Li, Haopeng Liu, Bin Qiu, Wei Guo, Shijun Zhao, Kungang Li, Jie He

This paper proposes a novel and efficient method to build a Computer-Aided Diagnoses (CAD) system for lung nodule detection based on Computed Tomography (CT).

Computed Tomography (CT) Lung Nodule Detection +2

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