Chao Wu

According to our database, Chao Wu authored at least 105 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Multi-agent Continuous Control with Generative Flow Networks.

Shuang Luo, Yinchuan Li, Shunyu Liu, Xu Zhang, Yunfeng Shao, Chao Wu

Neural Networks, 2024

SGW-based Multi-Task Learning in Vision Tasks.

Ruiyuan Zhang, Yuyao Chen, Yuchi Huo, Jiaxiang Liu, Dianbing Xi, Jie Liu, Chao Wu

CoRR, 2024

Text-to-Model: Text-Conditioned Neural Network Diffusion for Train-Once-for-All Personalization.

Zexi Li, Lingzhi Gao, Chao Wu

CoRR, 2024

Constructing Data Transaction Chains Based on Opportunity Cost Exploration.

Jie Liu, Tao Feng, Yan Jiang, Peizheng Wang, Chao Wu

CoRR, 2024

Improving Group Connectivity for Generalization of Federated Deep Learning.

Zexi Li, Jie Lin, Zhiqi Li, Didi Zhu, Chao Wu

CoRR, 2024

Training-time Neuron Alignment through Permutation Subspace for Improving Linear Mode Connectivity and Model Fusion.

Zexi Li, Zhiqi Li, Jie Lin, Tao Shen, Tao Lin, Chao Wu

CoRR, 2024

Advancing Prompt Learning through an External Layer.

Fangming Cui, Xun Yang, Chao Wu, Liang Xiao, Xinmei Tian

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Neural Collapse Anchored Prompt Tuning for Generalizable Vision-Language Models.

Didi Zhu, Zexi Li, Min Zhang, Junkun Yuan, Jiashuo Liu, Kun Kuang, Chao Wu

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models.

Didi Zhu, Zhongyi Sun, Zexi Li, Tao Shen, Ke Yan, Shouhong Ding, Chao Wu, Kun Kuang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Service Satisfaction Evaluation from Gaits Using Local Low-level and Global Co-occurrence Features.

Hao Li, Lulu Huang, Wenzhuo Cheng, Xiaoyi Wang, Chao Wu

Proceedings of the 7th International Conference on Information and Computer Technologies, 2024

More Than Catastrophic Forgetting: Integrating General Capabilities For Domain-Specific LLMs.

Chengyuan Liu, Yangyang Kang, Shihang Wang, Lizhi Qing, Fubang Zhao, Chao Wu, Changlong Sun, Kun Kuang, Fei Wu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Distributionally Generative Augmentation for Fair Facial Attribute Classification.

Fengda Zhang, Qianpei He, Kun Kuang, Jiashuo Liu, Long Chen, Chao Wu, Jun Xiao, Hanwang Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Scalable Geometric Fracture Assembly via Co-creation Space among Assemblers.

Ruiyuan Zhang, Jiaxiang Liu, Zexi Li, Hao Dong, Jie Fu, Chao Wu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A Federated Learning-Based Framework for Ride-Sourcing Traffic Demand Prediction.

Simon Hu, Yin Ye, Qinru Hu, Xin Liu, Shaosheng Cao, Howard H. Yang, Yongdong Shen, Panagiotis Angeloudis, Leandro Parada, Chao Wu

IEEE Trans. Veh. Technol., November, 2023

Federated mutual learning: a collaborative machine learning method for heterogeneous data, models, and objectives.

Tao Shen, Jie Zhang, Xinkang Jia, Fengda Zhang, Zheqi Lv, Kun Kuang, Chao Wu, Fei Wu

Frontiers Inf. Technol. Electron. Eng., October, 2023

Federated unsupervised representation learning.

Fengda Zhang, Kun Kuang, Long Chen, Zhaoyang You, Tao Shen, Jun Xiao, Yin Zhang, Chao Wu, Fei Wu, Yueting Zhuang, Xiaolin Li

Frontiers Inf. Technol. Electron. Eng., August, 2023

Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI.

Jiangchao Yao, Shengyu Zhang, Yang Yao, Feng Wang, Jianxin Ma, Jianwei Zhang, Yunfei Chu, Luo Ji, Kunyang Jia, Tao Shen, Anpeng Wu, Fengda Zhang, Ziqi Tan, Kun Kuang, Chao Wu, Fei Wu, Jingren Zhou, Hongxia Yang

IEEE Trans. Knowl. Data Eng., July, 2023

PerimetryNet: A multiscale fine grained deep network for three-dimensional eye gaze estimation using visual field analysis.

Shuqing Yu, Zhihao Wang, Shuowen Zhou, Xiaosong Yang, Chao Wu, Zhao Wang

Comput. Animat. Virtual Worlds, 2023

FediOS: Decoupling Orthogonal Subspaces for Personalization in Feature-skew Federated Learning.

Lingzhi Gao, Zexi Li, Yang Lu, Chao Wu

CoRR, 2023

Bridging the Gap: Neural Collapse Inspired Prompt Tuning for Generalization under Class Imbalance.

Didi Zhu, Yinchuan Li, Min Zhang, Junkun Yuan, Jiashuo Liu, Zexi Li, Kun Kuang, Chao Wu

CoRR, 2023

Data valuation: The partial ordinal Shapley value for machine learning.

Jie Liu, Peizheng Wang, Chao Wu

CoRR, 2023

Universal Domain Adaptation via Compressive Attention Matching.

Didi Zhu, Yinchuan Li, Junkun Yuan, Zexi Li, Yunfeng Shao, Kun Kuang, Chao Wu

CoRR, 2023

Edge-cloud Collaborative Learning with Federated and Centralized Features.

Zexi Li, Qunwei Li, Yi Zhou, Wenliang Zhong, Guannan Zhang, Chao Wu

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Generalized Universal Domain Adaptation with Generative Flow Networks.

Didi Zhu, Yinchuan Li, Yunfeng Shao, Jianye Hao, Fei Wu, Kun Kuang, Jun Xiao, Chao Wu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

When Masked Image Modeling Meets Source-free Unsupervised Domain Adaptation: Dual-Level Masked Network for Semantic Segmentation.

Gang Li, Xianzheng Ma, Zhao Wang, Hao Li, Qifei Zhang, Chao Wu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Transformer-Based Multi-Source Domain Adaptation Without Source Data.

Gang Li, Chao Wu

Proceedings of the International Joint Conference on Neural Networks, 2023

Revisiting Weighted Aggregation in Federated Learning with Neural Networks.

Zexi Li, Tao Lin, Xinyi Shang, Chao Wu

Proceedings of the International Conference on Machine Learning, 2023

Learning Cautiously in Federated Learning with Noisy and Heterogeneous Clients.

Chenrui Wu, Zexi Li, Fangxin Wang, Chao Wu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Federated Domain Adaptation via Pseudo-label Refinement.

Gang Li, Qifei Zhang, Peizheng Wang, Jie Zhang, Chao Wu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Fairness-aware Contrastive Learning with Partially Annotated Sensitive Attributes.

Fengda Zhang, Kun Kuang, Long Chen, Yuxuan Liu, Chao Wu, Jun Xiao

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Target-Discriminability-Induced Multi-Source-Free Domain Adaptation.

Gang Li, Qifei Zhang, Peizheng Wang, Rui He, Chao Wu

Proceedings of the IEEE International Conference on Image Processing, 2023

Universal Domain Adaptation via Compressive Attention Matching.

Didi Zhu, Yinchuan Li, Junkun Yuan, Zexi Li, Kun Kuang, Chao Wu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier.

Zexi Li, Xinyi Shang, Rui He, Tao Lin, Chao Wu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

TFSF: Topological and Feature Space Fusion with Spatio-Temporal Modeling for Crop Yield Prediction.

Shifeng Xu, Yijing Zhou, Xiaoyang Yu, Cuiting Huang, Chao Wu

Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 2023

Score-PA: Score-based 3D Part Assembly.

Junfeng Cheng, Mingdong Wu, Ruiyuan Zhang, Guanqi Zhan, Chao Wu, Hao Dong

Proceedings of the 34th British Machine Vision Conference 2023, 2023

Delving into the Adversarial Robustness of Federated Learning.

Jie Zhang, Bo Li, Chen Chen, Lingjuan Lyu, Shuang Wu, Shouhong Ding, Chao Wu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

TICS: text-image-based semantic CAPTCHA synthesis via multi-condition adversarial learning.

Xinkang Jia, Jun Xiao, Chao Wu

Vis. Comput., 2022

Shuhai: A Tool for Benchmarking High Bandwidth Memory on FPGAs.

Hongjing Huang, Zeke Wang, Jie Zhang, Zhenhao He, Chao Wu, Jun Xiao, Gustavo Alonso

IEEE Trans. Computers, 2022

Can we share models if sharing data is not an option?

Zexi Li, Feng Mao, Chao Wu

Patterns, 2022

Research on real-time data transmission and multi-scale video image decomposition of embedded optical sensor array based on machine learning.

Mingxin Cai, Shanshan Wang, Chao Wu

Multim. Tools Appl., 2022

Machine learning techniques to predict reactionary delays and other associated key performance indicators on British railway network.

Panukorn Taleongpong, Simon Hu, Zhoutong Jiang, Chao Wu, Sunday Popo-Ola, Ke Han

J. Intell. Transp. Syst., 2022

A framework for self-supervised federated domain adaptation.

Bin Wang, Gang Li, Chao Wu, Weishan Zhang, Jiehan Zhou, Ye Wei

EURASIP J. Wirel. Commun. Netw., 2022

Mining Latent Relationships among Clients: Peer-to-peer Federated Learning with Adaptive Neighbor Matching.

Zexi Li, Jiaxun Lu, Shuang Luo, Didi Zhu, Yunfeng Shao, Yinchuan Li, Zhimeng Zhang, Chao Wu

CoRR, 2022

DENSE: Data-Free One-Shot Federated Learning.

Jie Zhang, Chen Chen, Bo Li, Lingjuan Lyu, Shuang Wu, Shouhong Ding, Chunhua Shen, Chao Wu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

S2RL: Do We Really Need to Perceive All States in Deep Multi-Agent Reinforcement Learning?

Shuang Luo, Yinchuan Li, Jiahui Li, Kun Kuang, Furui Liu, Yunfeng Shao, Chao Wu

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Modeling Freight-Sharing Platform Operations for Optimal Compensation Strategy Using Markov Decision Processes.

Siqi Shu, Zhengqi Chen, Zhe Yu, Shaosheng Cao, Guobin Wu, Donghai Shi, Gaoang Wang, Zuozhu Liu, Xiqun Chen, Xiaoxiang Na, Chao Wu, Simon Hu

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Federated Learning with Label Distribution Skew via Logits Calibration.

Jie Zhang, Zhiqi Li, Bo Li, Jianghe Xu, Shuang Wu, Shouhong Ding, Chao Wu

Proceedings of the International Conference on Machine Learning, 2022

Adversarial Examples for Good: Adversarial Examples Guided Imbalanced Learning.

Jie Zhang, Lei Zhang, Gang Li, Chao Wu

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Towards Efficient Data Free Blackbox Adversarial Attack.

Jie Zhang, Bo Li, Jianghe Xu, Shuang Wu, Shouhong Ding, Lei Zhang, Chao Wu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

DRG grouping by machine learning: from expert-oriented to data-based method.

Xiaoting Liu, Chenhao Fang, Chao Wu, Jianxing Yu, Qi Zhao

BMC Medical Informatics Decis. Mak., 2021

A Practical Data-Free Approach to One-shot Federated Learning with Heterogeneity.

Jie Zhang, Chen Chen, Bo Li, Lingjuan Lyu, Shuang Wu, Jianghe Xu, Shouhong Ding, Chao Wu

CoRR, 2021

Edge-Cloud Polarization and Collaboration: A Comprehensive Survey.

Jiangchao Yao, Shengyu Zhang, Yang Yao, Feng Wang, Jianxin Ma, Jianwei Zhang, Yunfei Chu, Luo Ji, Kunyang Jia, Tao Shen, Anpeng Wu, Fengda Zhang, Ziqi Tan, Kun Kuang, Chao Wu, Fei Wu, Jingren Zhou, Hongxia Yang

CoRR, 2021

Unified Group Fairness on Federated Learning.

Fengda Zhang, Kun Kuang, Yuxuan Liu, Chao Wu, Fei Wu, Jiaxun Lu, Yunfeng Shao, Jun Xiao

CoRR, 2021

Ensemble Federated Adversarial Training with Non-IID data.

Shuang Luo, Didi Zhu, Zexi Li, Chao Wu

CoRR, 2021

Federated Graph Learning - A Position Paper.

Huanding Zhang, Tao Shen, Fei Wu, Mingyang Yin, Hongxia Yang, Chao Wu

CoRR, 2021

Efficient Ring-topology Decentralized Federated Learning with Deep Generative Models for Industrial Artificial Intelligent.

Zhao Wang, Yifan Hu, Jun Xiao, Chao Wu

CoRR, 2021

Design of Deep Learning Model for Task-Evoked fMRI Data Classification.

Xiaojie Huang, Jun Xiao, Chao Wu

Comput. Intell. Neurosci., 2021

AI+X micro-program fosters interdisciplinary skills in China.

Fei Wu, Qinming He, Chao Wu

Commun. ACM, 2021

KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation.

Haozhe Feng, Zhaoyang You, Minghao Chen, Tianye Zhang, Minfeng Zhu, Fei Wu, Chao Wu, Wei Chen

Proceedings of the 38th International Conference on Machine Learning, 2021

Evaluate the Contribution of Multiple Participants in Federated Learning.

Zhaoyang You, Xinya Wu, Kexuan Chen, Xinyi Liu, Chao Wu

Proceedings of the Database and Expert Systems Applications, 2021

Optimizing Federated Learning on Non-IID Data Using Local Shapley Value.

Zuoqi Tang, Feifei Shao, Long Chen, Yunan Ye, Chao Wu, Jun Xiao

Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021

Web-based Platform for K-12 AI Education in China.

Chao Wu, Yan Li, Junxiang Li, Qiongdan Zhang, Fei Wu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

An Automated Machine-Learning Approach for Road Pothole Detection Using Smartphone Sensor Data.

Chao Wu, Zhen Wang, Simon Hu, Julien Lepine, Xiaoxiang Na, Daniel Ainalis, Marc Stettler

Sensors, 2020

Multi-platform data collection for public service with Pay-by-Data.

Chao Wu, Simon Hu, Chun-Hsiang Lee, Jun Xiao

Multim. Tools Appl., 2020

When Sharing Economy Meets IoT: Towards Fine-grained Urban Air Quality Monitoring through Mobile Crowdsensing on Bike-share System.

Di Wu, Tao Xiao, Xuewen Liao, Jie Luo, Chao Wu, Shigeng Zhang, Yong Li, Yike Guo

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

GFL: A Decentralized Federated Learning Framework Based On Blockchain.

Yifan Hu, Wei Xia, Jun Xiao, Chao Wu

CoRR, 2020

Federated Unsupervised Representation Learning.

Fengda Zhang, Kun Kuang, Zhaoyang You, Tao Shen, Jun Xiao, Yin Zhang, Chao Wu, Yueting Zhuang, Xiaolin Li

CoRR, 2020

Federated Mutual Learning.

Tao Shen, Jie Zhang, Xinkang Jia, Fengda Zhang, Gang Huang, Pan Zhou, Fei Wu, Chao Wu

CoRR, 2020

Evaluation Framework For Large-scale Federated Learning.

Lifeng Liu, Fengda Zhang, Jun Xiao, Chao Wu

CoRR, 2020

A Low-Cost Method for Designing and Updating a DRGs Classifier Based on Machine Learning.

Chenhao Fang, Zhenzhou Shao, Chao Wu

Proceedings of the ICMHI 2020: 4th International Conference on Medical and Health Informatics, 2020

Multi-Tenant Machine Learning Platform Based on Kubernetes.

Chun-Hsiang Lee, Zhaofeng Li, Xu Lu, Tiyun Chen, Saisai Yang, Chao Wu

Proceedings of the ICCAI '20: 2020 6th International Conference on Computing and Artificial Intelligence, 2020

2019

An artificial intelligence based data-driven approach for design ideation.

Liuqing Chen, Pan Wang, Hao Dong, Feng Shi, Ji Han, Yike Guo, Peter R. N. Childs, Jun Xiao, Chao Wu

J. Vis. Commun. Image Represent., 2019

Galaxy Learning - A Position Paper.

Chao Wu, Jun Xiao, Gang Huang, Fei Wu

CoRR, 2019

Exploratory Analysis for Big Social Data Using Deep Network.

Chao Wu, Guolong Wang, Jiangcheng Zhu, Piyawat Lertvittayakumjorn, Simon Hu, Chilie Tan, Hong Mi, Yadan Xu, Jun Xiao

IEEE Access, 2019

Training Encrypted Models with Privacy-preserved Data on Blockchain.

Lifeng Liu, Yifan Hu, Jiawei Yu, Fengda Zhang, Gang Huang, Jun Xiao, Chao Wu

Proceedings of the ICVISP 2019: 3rd International Conference on Vision, 2019

SIMGAN: Photo-Realistic Semantic Image Manipulation Using Generative Adversarial Networks.

Simiao Yu, Hao Dong, Felix Liang, Yuanhan Mo, Chao Wu, Yike Guo

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Generative Creativity: Adversarial Learning for Bionic Design.

Simiao Yu, Hao Dong, Pan Wang, Chao Wu, Yike Guo

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing, 2019

Distributed Modelling Approaches for Data Privacy Preserving.

Chao Wu, Fengda Zhang, Fei Wu

Proceedings of the Fifth IEEE International Conference on Multimedia Big Data, 2019

2018

Dropping Activation Outputs With Localized First-Layer Deep Network for Enhancing User Privacy and Data Security.

Hao Dong, Chao Wu, Zhen Wei, Yike Guo

IEEE Trans. Inf. Forensics Secur., 2018

Text-to-Image Synthesis via Visual-Memory Creative Adversarial Network.

Shengyu Zhang, Hao Dong, Wei Hu, Yike Guo, Chao Wu, Di Xie, Fei Wu

Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

Dest-ResNet: A Deep Spatiotemporal Residual Network for Hotspot Traffic Speed Prediction.

Binbing Liao, Jingqing Zhang, Ming Cai, Siliang Tang, Yifan Gao, Chao Wu, Shengwen Yang, Wenwu Zhu, Yike Guo, Fei Wu

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Deep Sequence Learning with Auxiliary Information for Traffic Prediction.

Binbing Liao, Jingqing Zhang, Chao Wu, Douglas McIlwraith, Tong Chen, Shengwen Yang, Yike Guo, Fei Wu

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Data Quality Transaction on Different Distributed Ledger Technologies.

Chao Wu, Liyi Zhou, Chulin Xie, Yuhang Zheng, Jiawei Yu

Proceedings of the Big Scientific Data Management, 2018

2017

A Visual Analytics Approach for Station-Based Air Quality Data.

Yi Du, CuiXia Ma, Chao Wu, Xiaowei Xu, Yike Guo, Yuanchun Zhou, Jianhui Li

Sensors, 2017

Unsupervised Image-to-Image Translation with Generative Adversarial Networks.

Hao Dong, Paarth Neekhara, Chao Wu, Yike Guo

CoRR, 2017

Exploratory Analysis of Big Social Data Using MIC/MINE Statistics.

Piyawat Lertvittayakumjorn, Chao Wu, Yue Liu, Hong Mi, Yike Guo

Proceedings of the Social Informatics, 2017

Semantic Image Synthesis via Adversarial Learning.

Hao Dong, Simiao Yu, Chao Wu, Yike Guo

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Survey on Feature Extraction and Applications of Biosignals.

Akara Supratak, Chao Wu, Hao Dong, Kai Sun, Yike Guo

Proceedings of the Machine Learning for Health Informatics, 2016

Mixed Neural Network Approach for Temporal Sleep Stage Classification.

Hao Dong, Akara Supratak, Wei Pan, Chao Wu, Paul M. Matthews, Yike Guo

CoRR, 2016

Generating Computational Taxonomy for Business Models of the Digital Economy.

Chao Wu, Yi Cai, Mei Zhao, Songping Huang, Yike Guo

Proceedings of the Database Systems for Advanced Applications, 2016

2014

Concinnity: A Generic Platform for Big Sensor Data Applications.

Chao Wu, David Birch, Dilshan Silva, Chun-Hsiang Lee, Orestis Tsinalis, Yike Guo

IEEE Cloud Comput., 2014

Linear Dynamic Sparse Modelling for functional MR imaging.

Shulin Yan, Lei Nie, Chao Wu, Yike Guo

Brain Informatics, 2014

Integration of sparse Bayesian learning and random subspace for fMRI Multivariate Pattern Analysis.

Shulin Yan, Xian Yang, Chao Wu, Yike Guo

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Balancing the Stability and Predictive Performance for Multivariate Voxel Selection in fMRI Study.

Shulin Yan, Xian Yang, Chao Wu, Zhiyun Zheng, Yike Guo

Proceedings of the Brain Informatics and Health - International Conference, 2014

Building a cloud-based platform for personal health sensor data management.

Yang Li, Li Guo, Chao Wu, Chun-Hsiang Lee, Yike Guo

Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014

2013

Elastic Information Management for Air Pollution Monitoring in Large-Scale M2M Sensor Networks.

Yajie Ma, Yike Guo, Dilshan Silva, Orestis Tsinalis, Chao Wu

Int. J. Distributed Sens. Networks, 2013

Sensor Deployment in Bayesian Compressive Sensing Based Environmental Monitoring.

Chao Wu, Di Wu, Shulin Yan, Yike Guo

Proceedings of the Mobile and Ubiquitous Systems: Computing, Networking, and Services, 2013

An Approximation Approach to Measurement Design in the Reconstruction of Functional MRI Sequences.

Shulin Yan, Lei Nie, Chao Wu, Yike Guo

Proceedings of the Brain and Health Informatics - International Conference, 2013

Enhanced user data privacy with pay-by-data model.

Chao Wu, Yike Guo

Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

Building a generic platform for big sensor data application.

Chun-Hsiang Lee, David Birch, Chao Wu, Dilshan Silva, Orestis Tsinalis, Yang Li, Shulin Yan, Moustafa Ghanem, Yike Guo

Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

2012

Social networking federation: A position paper.

Chao Wu, Yike Guo, Bo Zhou

Comput. Electr. Eng., 2012

A New Paradigm for Web App Development, Deployment, Distribution, and Collaboration.

Chao Wu, Yike Guo

Proceedings of the ICSOFT 2012 - Proceedings of the 7th International Conference on Software Paradigm Trends, Rome, Italy, 24, 2012

An EEG-Based Brain Informatics Application for Enhancing Music Experience.

Yike Guo, Chao Wu, Diego Peteiro-Barral

Proceedings of the Brain Informatics - International Conference, 2012

Elastic Application Container: A Lightweight Approach for Cloud Resource Provisioning.

Sijin He, Li Guo, Yike Guo, Chao Wu, Moustafa Ghanem, Rui Han

Proceedings of the IEEE 26th International Conference on Advanced Information Networking and Applications, 2012

2011

Detecting insecure person in crowd with human sensor.

Chao Wu, Yike Guo

Proceedings of the 2nd International Conference on Ambient Systems, 2011