Hua Chai

Orcid: 0000-0002-8351-1935

According to our database1, Hua Chai authored at least 77 papers between 2007 and 2024.

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Bibliography

2024
An uncertainty-based interpretable deep learning framework for predicting breast cancer outcome.
BMC Bioinform., December, 2024

LDTR: Transformer-based Lane Detection with Anchor-chain Representation.
CoRR, 2024

2023
AFEI: adaptive optimized vertical federated learning for heterogeneous multi-omics data integration.
Briefings Bioinform., September, 2023

Travel Time Distribution Estimation by Learning Representations Over Temporal Attributed Graphs.
IEEE Trans. Intell. Transp. Syst., May, 2023

Pre-Training on Large-Scale Generated Docking Conformations with HelixDock to Unlock the Potential of Protein-ligand Structure Prediction Models.
CoRR, 2023

GRASS: Unified Generation Model for Speech-to-Semantic Tasks.
CoRR, 2023

Behavior Modeling for Point of Interest Search.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Experience: Large-scale Cellular Localization for Pickup Position Recommendation at Black-hole.
Proceedings of the 29th Annual International Conference on Mobile Computing and Networking, 2023

iETA: A Robust and Scalable Incremental Learning Framework for Time-of-Arrival Estimation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Pyramid Graph Neural Network: A Graph Sampling and Filtering Approach for Multi-scale Disentangled Representations.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

L2RR: Towards a More Diversified Navigation Service with Learning to Rank Routes Framework.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Graph Signal Sampling for Inductive One-Bit Matrix Completion: a Closed-form Solution.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

CANet: Curved Guide Line Network with Adaptive Decoder for Lane Detection.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
CTTE: Customized Travel Time Estimation via Mobile Crowdsensing.
IEEE Trans. Intell. Transp. Syst., 2022

A collaborative emergency decision making approach based on BWM and TODIM under interval 2-tuple linguistic environment.
Int. J. Mach. Learn. Cybern., 2022

S4OD: Semi-Supervised learning for Single-Stage Object Detection.
CoRR, 2022

Cancer survival prognosis with Deep Bayesian Perturbation Cox Network.
Comput. Biol. Medicine, 2022

TimeBird: Context-Aware Graph Convolution Network for Traffic Incident Duration Prediction.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2022

A Multi-constraint Deep Semi-supervised Learning Method for Ovarian Cancer Prognosis Prediction.
Proceedings of the Advances in Swarm Intelligence - 13th International Conference, 2022

Interpreting Trajectories from Multiple Views: A Hierarchical Self-Attention Network for Estimating the Time of Arrival.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Statistical Analysis Methods in Engineering Education Research: A state-of-the-art Review.
Proceedings of the IEEE Global Engineering Education Conference, 2022

Work-in-Progress: A Holistic Approach to Bridging the Gap between Power Engineering Education and Electric Power Industry.
Proceedings of the IEEE Global Engineering Education Conference, 2022

2021
SpeakNav: Voice-based Route Description Language Understanding for Template Driven Path Search.
Proc. VLDB Endow., 2021

Glow in the Dark: Smartphone Inertial Odometry for Vehicle Tracking in GPS Blocked Environments.
IEEE Internet Things J., 2021

Predicting bladder cancer prognosis by integrating multi-omics data through a transfer learning-based Cox proportional hazards network.
CCF Trans. High Perform. Comput., 2021

Integrating multi-omics data through deep learning for accurate cancer prognosis prediction.
Comput. Biol. Medicine, 2021

scAdapt: virtual adversarial domain adaptation network for single cell RNA-seq data classification across platforms and species.
Briefings Bioinform., 2021

Integration of Patch Features Through Self-supervised Learning and Transformer for Survival Analysis on Whole Slide Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Dual Metric Discriminator for Open Set Video Domain Adaptation.
Proceedings of the IEEE International Conference on Acoustics, 2021

DCCP: Deep Convolutional Neural Networks for Cellular Network Positioning.
Proceedings of the IEEE Global Communications Conference, 2021

Improved Power Engineering Curriculum: Analysis in a Year 3 Course in Electrical Engineering.
Proceedings of the IEEE Global Engineering Education Conference, 2021

Spatio-temporal Contrastive Domain Adaptation for Action Recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Multi-omics Cancer Prognosis Analysis Based on Graph Convolution Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
Fast Switch-Based Load Balancer Considering Application Server States.
IEEE/ACM Trans. Netw., 2020

A greedy screening test strategy to accelerate solving LASSO problems with small regularization parameters.
Soft Comput., 2020

Deep learning-based ovarian cancer subtypes identification using multi-omics data.
BioData Min., 2020

Abnormal Trajectory Detection Based on Geospatial Consistent Modeling.
IEEE Access, 2020

A Genotype-Based Ensemble Classifier System for Non-Small-Cell Lung Cancer.
IEEE Access, 2020

Mechanism of PV Generation System Damping Electromechanical Oscillations.
IEEE Access, 2020

Implementation of Microgrid Virtual Laboratory in a Design Course in Electrical Engineering.
Proceedings of the IEEE International Conference on Teaching, 2020

ARPDR: An Accurate and Robust Pedestrian Dead Reckoning System for Indoor Localization on Handheld Smartphones.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Automatic Calibration of Road Intersection Topology using Trajectories.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Convolutional Auto-encoder Based Sky Image Prediction Model for Minutely Solar PV Power Forecasting.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2020

ROAM: Recurrently Optimizing Tracking Model.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Robust and Fast Vehicle Turn-counts at Intersections via an Integrated Solution from Detection, Tracking and Trajectory Modeling.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Context-aware Route Recommendation with Weight Learning through Deep Neural Networks.
Proceedings of the 2020 American Control Conference, 2020

Multi-Source Distilling Domain Adaptation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

An End-to-End Visual-Audio Attention Network for Emotion Recognition in User-Generated Videos.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Application of UHF Sensors in Power System Equipment for Partial Discharge Detection: A Review.
Sensors, 2019

POI Semantic Model with a Deep Convolutional Structure.
CoRR, 2019

Multi-source Domain Adaptation for Semantic Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Deep Learning Based Irradiance Mapping Model for Solar PV Power Forecasting Using Sky Image.
Proceedings of the 2019 IEEE Industry Applications Society Annual Meeting, Baltimore, MD, USA, September 29, 2019

A Traffic Sign Discovery Driven System for Traffic Rule Updating.
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2019

SeMap: automatic semantic mapping for large-scale indoor spaces.
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Location-based Recommendations, 2019

Small Traffic Sign Detection Through Selective Feature Fusion Based Faster R-CNN With Arc-Softmax Loss.
Proceedings of the 12th ACM SIGSPATIAL International Workshop on Computational Transportation Science, 2019

Incorporating Semantic Similarity with Geographic Correlation for Query-POI Relevance Learning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Traffic-aware Threshold Adjustment for NFV Scaling using DDPG.
CoRR, 2018

Robust Sparse Logistic Regression With the L<sub>q</sub> (0 < q < 1) Regularization for Feature Selection Using Gene Expression Data.
IEEE Access, 2018

Semi-Supervised Learning with Ensemble Self-Training for Cancer Classification.
Proceedings of the 2018 IEEE SmartWorld, 2018

3D Gesture Recognition Method Based on Faster R-CNN Network.
Proceedings of the 2018 Australian & New Zealand Control Conference (ANZCC), 2018

2017
Performance Evaluation and Analysis for Gravity Matching Aided Navigation.
Sensors, 2017

Characteristics of Marine Gravity Anomaly Reference Maps and Accuracy Analysis of Gravity Matching-Aided Navigation.
Sensors, 2017

Location Accuracy of INS/Gravity-Integrated Navigation System on the Basis of Ocean Experiment and Simulation.
Sensors, 2017

2016
Intention preservation in deterministic multithreading: a partial solution.
IET Softw., 2016

Low-rank and sparse matrix decomposition based on S1/2 and L1/2 regularizations in dynamic MRI.
Proceedings of the Sixth International Conference on Image Processing Theory, 2016

Image Super-Resolution Reconstruction via L1/2 and S1/2 Regularizations.
Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016

2015
The L<sub>1/2</sub> regularization approach for survival analysis in the accelerated failure time model.
Comput. Biol. Medicine, 2015

2014
Byzantine Fault Tolerant Event Stream Processing for Autonomic Computing.
Proceedings of the IEEE 12th International Conference on Dependable, 2014

Byzantine Fault Tolerance for Services with Commutative Operations.
Proceedings of the IEEE International Conference on Services Computing, SCC 2014, Anchorage, AK, USA, June 27, 2014

2013
Toward Trustworthy Coordination of Web Services Business Activities.
IEEE Trans. Serv. Comput., 2013

Byzantine fault tolerance for session-oriented multi-tiered applications.
Int. J. Web Sci., 2013

A Passive Conformance Testing Method for 6LoWPAN Network.
Proceedings of the 2013 IEEE International Conference on Green Computing and Communications (GreenCom) and IEEE Internet of Things (iThings) and IEEE Cyber, 2013

2012
Trustworthy Coordination of Web Services Atomic Transactions.
IEEE Trans. Parallel Distributed Syst., 2012

2010
Interference-Aware Channel Assignment for On-demand Routing Protocols in Multi-radio Multi-channel Wireless Mesh Networks.
Proceedings of the Sixth International Conference on Mobile Ad-hoc and Sensor Networks, 2010

Adaptive rigid control of a rigid manipulator handling a flexible payload.
Proceedings of the Sixth International Conference on Natural Computation, 2010

2009
A lightweight fault tolerance framework for Web services.
Web Intell. Agent Syst., 2009

2007
Implementing and Evaluating Security Controls for an Object-Based Storage System.
Proceedings of the 24th IEEE Conference on Mass Storage Systems and Technologies (MSST 2007), 2007


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