Xinxin Zhu

Orcid: 0000-0002-2142-5580

According to our database1, Xinxin Zhu authored at least 61 papers between 2005 and 2024.

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Bibliography

2024
HCCL: Hierarchical Counterfactual Contrastive Learning for Robust Visual Question Answering.
ACM Trans. Multim. Comput. Commun. Appl., October, 2024

Detection model based on improved faster-RCNN in apple orchard environment.
Intell. Syst. Appl., March, 2024

Reparameterizing and dynamically quantizing image features for image generation.
Pattern Recognit., February, 2024

Sounding Video Generator: A Unified Framework for Text-Guided Sounding Video Generation.
IEEE Trans. Multim., 2024

High-Sensitivity Atomic Layer Thermopile Heat- Flux Sensor and Its Application in Hypersonic Low-Density Wind Tunnel Tests.
IEEE Trans. Instrum. Meas., 2024

Software Defect Prediction Using Deep Q-Learning Network-Based Feature Extraction.
IET Softw., 2024

Electroencephalogram-based adaptive closed-loop brain-computer interface in neurorehabilitation: a review.
Frontiers Comput. Neurosci., 2024

COMUNI: Decomposing Common and Unique Video Signals for Diffusion-based Video Generation.
CoRR, 2024

Enhancing and Accelerating Large Language Models via Instruction-Aware Contextual Compression.
CoRR, 2024

MM-LDM: Multi-Modal Latent Diffusion Model for Sounding Video Generation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023
Deep Optimal Timing Strategies for Time Series.
CoRR, 2023

Automatic Deduction Path Learning via Reinforcement Learning with Environmental Correction.
CoRR, 2023

ChatBridge: Bridging Modalities with Large Language Model as a Language Catalyst.
CoRR, 2023

VALOR: Vision-Audio-Language Omni-Perception Pretraining Model and Dataset.
CoRR, 2023

SLOTH: Structured Learning and Task-based Optimization for Time Series Forecasting on Hierarchies.
CoRR, 2023

VAST: A Vision-Audio-Subtitle-Text Omni-Modality Foundation Model and Dataset.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

CSDNet: Contrastive Similarity Distillation Network for Multi-lingual Image-Text Retrieval.
Proceedings of the Image and Graphics - 12th International Conference, 2023

MOSO: Decomposing MOtion, Scene and Object for Video Prediction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

SLOTH: Structured Learning and Task-Based Optimization for Time Series Forecasting on Hierarchies.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Global-Guided Selective Context Network for Scene Parsing.
IEEE Trans. Neural Networks Learn. Syst., 2022

2021
RGB-D salient object detection via cross-modal joint feature extraction and low-bound fusion loss.
Neurocomputing, 2021

OPT: Omni-Perception Pre-Trainer for Cross-Modal Understanding and Generation.
CoRR, 2021

CPTR: Full Transformer Network for Image Captioning.
CoRR, 2021

Global-Local Propagation Network for RGB-D Semantic Segmentation.
CoRR, 2021

Fast Sequence Generation with Multi-Agent Reinforcement Learning.
CoRR, 2021

Dynamic Warping Network for Semantic Video Segmentation.
Complex., 2021

MM21 Pre-training for Video Understanding Challenge: Video Captioning with Pretraining Techniques.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

The Importance of Contextual Understanding in Solving the Last Mile Problem.
Proceedings of the Context Sensitive Health Informatics: The Role of Informatics in Global Pandemics, Proceedings of CSHI 2021, Virtual Event, 15, 2021

Dynamic Optimal Power Flow Based on a Spatio-Temporal Wind Speed Forecast Model.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

Unsupervised Feature Learning for Temporal Segmentation of Auroral Image Sequences.
Proceedings of the AIPR 2021: 4th International Conference on Artificial Intelligence and Pattern Recognition, Xiamen, China, September 24, 2021

Consistent-Separable Feature Representation for Semantic Segmentation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
A review of auditing techniques for the Unified Medical Language System.
J. Am. Medical Informatics Assoc., 2020

Forward and backward input variable selection for polynomial echo state networks.
Neurocomputing, 2020

AutoCaption: Image Captioning with Neural Architecture Search.
CoRR, 2020

Dual Hierarchical Temporal Convolutional Network with QA-Aware Dynamic Normalization for Video Story Question Answering.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Non-Autoregressive Image Captioning with Counterfactuals-Critical Multi-Agent Learning.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Point Set Attention Network For Semantic Segmentation.
Proceedings of the IEEE International Conference on Image Processing, 2020

Normalized and Geometry-Aware Self-Attention Network for Image Captioning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

New Care Delivery Models for Critical Responses: Case Studies of E-enabled Patient-Provider Communication in Context.
Proceedings of the AMIA 2020, 2020

2019
Dynamical regularized echo state network for time series prediction.
Neural Comput. Appl., 2019

Multi-View Features and Hybrid Reward Strategies for Vatex Video Captioning Challenge 2019.
CoRR, 2019

A Backward Learning Algorithm in Polynomial Echo State Networks.
Proceedings of the Machine Learning and Intelligent Communications, 2019

2018
Experiments and Analysis of Close-Shot Identification of On-Branch Citrus Fruit with RealSense.
Sensors, 2018

Image captioning with triple-attention and stack parallel LSTM.
Neurocomputing, 2018

Design of Incremental Echo State Network Using Leave-One-Out Cross-Validation.
IEEE Access, 2018

2017
cHRV Uncovering Daily Stress Dynamics Using Bio-Signal from Consumer Wearables.
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

How Can Health Information Technologies Contribute to Improve Health Care Services for High-Need Patients?
Proceedings of the Context Sensitive Health Informatics: Redesigning Healthcare Work, 2017

StressHacker: Towards Practical Stress Monitoring in the Wild with Smartwatches.
Proceedings of the AMIA 2017, 2017

2016
Patient Generated Data: the Missing Link in Patient Centered Care?
Proceedings of the AMIA 2016, 2016

2015
Clinicians′ evaluation of computer-assisted medication summarization of electronic medical records.
Comput. Biol. Medicine, 2015

Curating and Integrating Data from Multiple Sources to Support Healthcare Analytics.
Proceedings of the MEDINFO 2015: eHealth-enabled Health, 2015

Resource Monitoring and Prediction in Cloud Computing Environments.
Proceedings of the 3rd International Conference on Applied Computing and Information Technology, 2015

2014
Short-Term Spatio-Temporal Wind Power Forecast in Robust Look-ahead Power System Dispatch.
IEEE Trans. Smart Grid, 2014

Dynamic and Accretive Composition of Patient Engagement Instruments for Personalized Plan Generation.
Proceedings of the Nursing Informatics 2014 - East Meets West eSMART+, 2014

Progressive Testing of Health Self-efficacy and Literacy for Personalized Engagement.
Proceedings of the e-Health - For Continuity of Care - Proceedings of MIE2014, the 25th European Medical Informatics Conference, Istanbul, Turkey, August 31, 2014

2013
An adaptable and scalable group access control scheme for managing wireless sensor networks.
Telematics Informatics, 2013

2011
Information technology for healthcare transformation.
IBM J. Res. Dev., 2011

2009
A review of auditing methods applied to the content of controlled biomedical terminologies.
J. Biomed. Informatics, 2009

Using Timeline Displays to Improve Medication Reconciliation.
Proceedings of the International Conference on eHealth, Telemedicine, and Social Medicine, 2009

2008
Extracting Structured Medication Event Information from Discharge Summaries.
Proceedings of the AMIA 2008, 2008

2005
Using a Context-aware Medical Application to Address Information Needs for Extubation Decisions.
Proceedings of the AMIA 2005, 2005


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