Chao Wu

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 65

Top Topics

Domain Adaptation

Exploratory Analysis

Top Venues

Publications

Didi Zhu, Zhongyi Sun, Zexi Li, Tao Shen, Ke Yan, Shouhong Ding, Kun Kuang, Chao Wu
Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models. CoRR (2024)
Jie Liu, Tao Feng, Yan Jiang, Peizheng Wang, Chao Wu
Constructing Data Transaction Chains Based on Opportunity Cost Exploration. CoRR (2024)
Fengda Zhang, Qianpei He, Kun Kuang, Jiashuo Liu, Long Chen, Chao Wu, Jun Xiao, Hanwang Zhang
Distributionally Generative Augmentation for Fair Facial Attribute Classification. CoRR (2024)
Hao Li, Lulu Huang, Wenzhuo Cheng, Xiaoyi Wang, Chao Wu
Service Satisfaction Evaluation from Gaits Using Local Low-level and Global Co-occurrence Features. ICICT (2024)
Shuang Luo, Yinchuan Li, Shunyu Liu, Xu Zhang, Yunfeng Shao, Chao Wu
Multi-agent Continuous Control with Generative Flow Networks. Neural Networks 174 (2024)
Didi Zhu, Zexi Li, Min Zhang, Junkun Yuan, Jiashuo Liu, Kun Kuang, Chao Wu
Neural Collapse Anchored Prompt Tuning for Generalizable Vision-Language Models. KDD (2024)
Shuqing Yu, Zhihao Wang, Shuowen Zhou, Xiaosong Yang, Chao Wu, Zhao Wang
PerimetryNet: A multiscale fine grained deep network for three-dimensional eye gaze estimation using visual field analysis. Comput. Animat. Virtual Worlds 34 (5) (2023)
Didi Zhu, Yinchuan Li, Yunfeng Shao, Jianye Hao, Fei Wu, Kun Kuang, Jun Xiao, Chao Wu
Generalized Universal Domain Adaptation with Generative Flow Networks. ACM Multimedia (2023)
Simon Hu, Yin Ye, Qinru Hu, Xin Liu, Shaosheng Cao, Howard H. Yang, Yongdong Shen, Panagiotis Angeloudis, Leandro Parada, Chao Wu
A Federated Learning-Based Framework for Ride-Sourcing Traffic Demand Prediction. IEEE Trans. Veh. Technol. 72 (11) (2023)
Shifeng Xu, Yijing Zhou, Xiaoyang Yu, Cuiting Huang, Chao Wu
TFSF: Topological and Feature Space Fusion with Spatio-Temporal Modeling for Crop Yield Prediction. CSCWD (2023)
Fengda Zhang, Kun Kuang, Long Chen, Zhaoyang You, Tao Shen, Jun Xiao, Yin Zhang, Chao Wu, Fei Wu, Yueting Zhuang, Xiaolin Li
Federated unsupervised representation learning. Frontiers Inf. Technol. Electron. Eng. 24 (8) (2023)
Didi Zhu, Yinchuan Li, Yunfeng Shao, Jianye Hao, Fei Wu, Kun Kuang, Jun Xiao, Chao Wu
Generalized Universal Domain Adaptation with Generative Flow Networks. CoRR (2023)
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
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI. IEEE Trans. Knowl. Data Eng. 35 (7) (2023)
Jie Zhang, Bo Li, Chen Chen, Lingjuan Lyu, Shuang Wu, Shouhong Ding, Chao Wu
Delving into the Adversarial Robustness of Federated Learning. AAAI (2023)
Gang Li, Qifei Zhang, Peizheng Wang, Jie Zhang, Chao Wu
Federated Domain Adaptation via Pseudo-label Refinement. ICME (2023)
Fengda Zhang, Kun Kuang, Long Chen, Yuxuan Liu, Chao Wu, Jun Xiao
Fairness-aware Contrastive Learning with Partially Annotated Sensitive Attributes. ICLR (2023)
Gang Li, Qifei Zhang, Peizheng Wang, Rui He, Chao Wu
Target-Discriminability-Induced Multi-Source-Free Domain Adaptation. ICIP (2023)
Zexi Li, Qunwei Li, Yi Zhou, Wenliang Zhong, Guannan Zhang, Chao Wu
Edge-cloud Collaborative Learning with Federated and Centralized Features. SIGIR (2023)
Tao Shen, Jie Zhang, Xinkang Jia, Fengda Zhang, Zheqi Lv, Kun Kuang, Chao Wu, Fei Wu
Federated mutual learning: a collaborative machine learning method for heterogeneous data, models, and objectives. Frontiers Inf. Technol. Electron. Eng. 24 (10) (2023)
Gang Li, Xianzheng Ma, Zhao Wang, Hao Li, Qifei Zhang, Chao Wu
When Masked Image Modeling Meets Source-free Unsupervised Domain Adaptation: Dual-Level Masked Network for Semantic Segmentation. ACM Multimedia (2023)
Jie Zhang, Bo Li, Jianghe Xu, Shuang Wu, Shouhong Ding, Lei Zhang, Chao Wu
Towards Efficient Data Free Blackbox Adversarial Attack. CVPR (2022)
Panukorn Taleongpong, Simon Hu, Zhoutong Jiang, Chao Wu, Sunday Popo-Ola, Ke Han
Machine learning techniques to predict reactionary delays and other associated key performance indicators on British railway network. J. Intell. Transp. Syst. 26 (3) (2022)
Hongjing Huang, Zeke Wang, Jie Zhang, Zhenhao He, Chao Wu, Jun Xiao, Gustavo Alonso
Shuhai: A Tool for Benchmarking High Bandwidth Memory on FPGAs. IEEE Trans. Computers 71 (5) (2022)
Jie Zhang, Lei Zhang, Gang Li, Chao Wu
Adversarial Examples for Good: Adversarial Examples Guided Imbalanced Learning. ICIP (2022)
Jie Zhang, Zhiqi Li, Bo Li, Jianghe Xu, Shuang Wu, Shouhong Ding, Chao Wu
Federated Learning with Label Distribution Skew via Logits Calibration. ICML (2022)
Jie Zhang, Chen Chen, Bo Li, Lingjuan Lyu, Shuang Wu, Shouhong Ding, Chunhua Shen, Chao Wu
DENSE: Data-Free One-Shot Federated Learning. NeurIPS (2022)
Xinkang Jia, Jun Xiao, Chao Wu
TICS: text-image-based semantic CAPTCHA synthesis via multi-condition adversarial learning. Vis. Comput. 38 (3) (2022)
Bin Wang, Gang Li, Chao Wu, Weishan Zhang, Jiehan Zhou, Ye Wei
A framework for self-supervised federated domain adaptation. EURASIP J. Wirel. Commun. Netw. 2022 (1) (2022)
Siqi Shu, Zhengqi Chen, Zhe Yu, Shaosheng Cao, Guobin Wu, Donghai Shi, Gaoang Wang, Zuozhu Liu, Xiqun Chen, Xiaoxiang Na, Chao Wu, Simon Hu
Modeling Freight-Sharing Platform Operations for Optimal Compensation Strategy Using Markov Decision Processes. ITSC (2022)
Mingxin Cai, Shanshan Wang, Chao Wu
Research on real-time data transmission and multi-scale video image decomposition of embedded optical sensor array based on machine learning. Multim. Tools Appl. 81 (29) (2022)
Jie Zhang, Zhiqi Li, Bo Li, Jianghe Xu, Shuang Wu, Shouhong Ding, Chao Wu
Federated Learning with Label Distribution Skew via Logits Calibration. CoRR (2022)
Zuoqi Tang, Feifei Shao, Long Chen, Yunan Ye, Chao Wu, Jun Xiao
Optimizing Federated Learning on Non-IID Data Using Local Shapley Value. CICAI (2) (2021)
Fengda Zhang, Kun Kuang, Yuxuan Liu, Chao Wu, Fei Wu, Jiaxun Lu, Yunfeng Shao, Jun Xiao
Unified Group Fairness on Federated Learning. CoRR (2021)
Fei Wu, Qinming He, Chao Wu
AI+X micro-program fosters interdisciplinary skills in China. Commun. ACM 64 (11) (2021)
Zhaoyang You, Xinya Wu, Kexuan Chen, Xinyi Liu, Chao Wu
Evaluate the Contribution of Multiple Participants in Federated Learning. DEXA (2) (2021)
Xiaojie Huang, Jun Xiao, Chao Wu
Design of Deep Learning Model for Task-Evoked fMRI Data Classification. Comput. Intell. Neurosci. 2021 (2021)
Zhao Wang, Yifan Hu, Jun Xiao, Chao Wu
Efficient Ring-topology Decentralized Federated Learning with Deep Generative Models for Industrial Artificial Intelligent. CoRR (2021)
Chao Wu, Simon Hu, Chun-Hsiang Lee, Jun Xiao
Multi-platform data collection for public service with Pay-by-Data. Multim. Tools Appl. 79 (45-46) (2020)
Fengda Zhang, Kun Kuang, Zhaoyang You, Tao Shen, Jun Xiao, Yin Zhang, Chao Wu, Yueting Zhuang, Xiaolin Li
Federated Unsupervised Representation Learning. CoRR (2020)
Chao Wu, Zhen Wang, Simon Hu, Julien Lepine, Xiaoxiang Na, Daniel Ainalis, Marc Stettler
An Automated Machine-Learning Approach for Road Pothole Detection Using Smartphone Sensor Data. Sensors 20 (19) (2020)
Di Wu, Tao Xiao, Xuewen Liao, Jie Luo, Chao Wu, Shigeng Zhang, Yong Li, Yike Guo
When Sharing Economy Meets IoT: Towards Fine-grained Urban Air Quality Monitoring through Mobile Crowdsensing on Bike-share System. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4 (2) (2020)
Yifan Hu, Wei Xia, Jun Xiao, Chao Wu
GFL: A Decentralized Federated Learning Framework Based On Blockchain. CoRR (2020)
Chun-Hsiang Lee, Zhaofeng Li, Xu Lu, Tiyun Chen, Saisai Yang, Chao Wu
Multi-Tenant Machine Learning Platform Based on Kubernetes. ICCAI (2020)
Lifeng Liu, Fengda Zhang, Jun Xiao, Chao Wu
Evaluation Framework For Large-scale Federated Learning. CoRR (2020)
Chao Wu, Jun Xiao, Gang Huang, Fei Wu
Galaxy Learning - A Position Paper. CoRR (2019)
Lifeng Liu, Yifan Hu, Jiawei Yu, Fengda Zhang, Gang Huang, Jun Xiao, Chao Wu
Training Encrypted Models with Privacy-preserved Data on Blockchain. ICVISP (2019)
Chao Wu, Fengda Zhang, Fei Wu
Distributed Modelling Approaches for Data Privacy Preserving. BigMM (2019)
Chao Wu, Guolong Wang, Jiangcheng Zhu, Piyawat Lertvittayakumjorn, Simon Hu, Chilie Tan, Hong Mi, Yadan Xu, Jun Xiao
Exploratory Analysis for Big Social Data Using Deep Network. IEEE Access 7 (2019)
Simiao Yu, Hao Dong, Felix Liang, Yuanhan Mo, Chao Wu, Yike Guo
SIMGAN: Photo-Realistic Semantic Image Manipulation Using Generative Adversarial Networks. ICIP (2019)
Liuqing Chen, Pan Wang, Hao Dong, Feng Shi, Ji Han, Yike Guo, Peter R. N. Childs, Jun Xiao, Chao Wu
An artificial intelligence based data-driven approach for design ideation. J. Vis. Commun. Image Represent. 61 (2019)
Simiao Yu, Hao Dong, Pan Wang, Chao Wu, Yike Guo
Generative Creativity: Adversarial Learning for Bionic Design. ICANN (3) (2019)
Shengyu Zhang, Hao Dong, Wei Hu, Yike Guo, Chao Wu, Di Xie, Fei Wu
Text-to-Image Synthesis via Visual-Memory Creative Adversarial Network. PCM (3) (2018)
Binbing Liao, Jingqing Zhang, Ming Cai, Siliang Tang, Yifan Gao, Chao Wu, Shengwen Yang, Wenwu Zhu, Yike Guo, Fei Wu
Dest-ResNet: A Deep Spatiotemporal Residual Network for Hotspot Traffic Speed Prediction. ACM Multimedia (2018)
Binbing Liao, Jingqing Zhang, Chao Wu, Douglas McIlwraith, Tong Chen, Shengwen Yang, Yike Guo, Fei Wu
Deep Sequence Learning with Auxiliary Information for Traffic Prediction. KDD (2018)
Hao Dong, Chao Wu, Zhen Wei, Yike Guo
Dropping Activation Outputs With Localized First-Layer Deep Network for Enhancing User Privacy and Data Security. IEEE Trans. Inf. Forensics Secur. 13 (3) (2018)
Simiao Yu, Hao Dong, Pan Wang, Chao Wu, Yike Guo
Generative Creativity: Adversarial Learning for Bionic Design. CoRR (2018)
Binbing Liao, Jingqing Zhang, Chao Wu, Douglas McIlwraith, Tong Chen, Shengwen Yang, Yike Guo, Fei Wu
Deep Sequence Learning with Auxiliary Information for Traffic Prediction. CoRR (2018)
Hao Dong, Simiao Yu, Chao Wu, Yike Guo
Semantic Image Synthesis via Adversarial Learning. ICCV (2017)
Hao Dong, Paarth Neekhara, Chao Wu, Yike Guo
Unsupervised Image-to-Image Translation with Generative Adversarial Networks. CoRR (2017)
Hao Dong, Simiao Yu, Chao Wu, Yike Guo
Semantic Image Synthesis via Adversarial Learning. CoRR (2017)
Yi Du, CuiXia Ma, Chao Wu, Xiaowei Xu, Yike Guo, Yuanchun Zhou, Jianhui Li
A Visual Analytics Approach for Station-Based Air Quality Data. Sensors 17 (1) (2017)
Hao Dong, Chao Wu, Zhen Wei, Yike Guo
Dropping Activation Outputs with Localized First-layer Deep Network for Enhancing User Privacy and Data Security. CoRR (2017)
Piyawat Lertvittayakumjorn, Chao Wu, Yue Liu, Hong Mi, Yike Guo
Exploratory Analysis of Big Social Data Using MIC/MINE Statistics. SocInfo (2) (2017)
Hao Dong, Akara Supratak, Wei Pan, Chao Wu, Paul M. Matthews, Yike Guo
Mixed Neural Network Approach for Temporal Sleep Stage Classification. CoRR (2016)
Chao Wu, Yi Cai, Mei Zhao, Songping Huang, Yike Guo
Generating Computational Taxonomy for Business Models of the Digital Economy. DASFAA Workshops (2016)
Shulin Yan, Xian Yang, Chao Wu, Yike Guo
Integration of sparse Bayesian learning and random subspace for fMRI Multivariate Pattern Analysis. EMBC (2014)
Chao Wu, David Birch, Dilshan Silva, Chun-Hsiang Lee, Orestis Tsinalis, Yike Guo
Concinnity: A Generic Platform for Big Sensor Data Applications. IEEE Cloud Comput. 1 (2) (2014)
Shulin Yan, Xian Yang, Chao Wu, Zhiyun Zheng, Yike Guo
Balancing the Stability and Predictive Performance for Multivariate Voxel Selection in fMRI Study. Brain Informatics and Health (2014)
Shulin Yan, Lei Nie, Chao Wu, Yike Guo
Linear Dynamic Sparse Modelling for functional MR imaging. Brain Informatics 1 (1-4) (2014)
Yang Li, Li Guo, Chao Wu, Chun-Hsiang Lee, Yike Guo
Building a cloud-based platform for personal health sensor data management. BHI (2014)
Shulin Yan, Lei Nie, Chao Wu, Yike Guo
An Approximation Approach to Measurement Design in the Reconstruction of Functional MRI Sequences. Brain and Health Informatics (2013)
Yajie Ma, Yike Guo, Dilshan Silva, Orestis Tsinalis, Chao Wu
Elastic Information Management for Air Pollution Monitoring in Large-Scale M2M Sensor Networks. Int. J. Distributed Sens. Networks 9 (2013)
Chun-Hsiang Lee, David Birch, Chao Wu, Dilshan Silva, Orestis Tsinalis, Yang Li, Shulin Yan, Moustafa Ghanem, Yike Guo
Building a generic platform for big sensor data application. IEEE BigData (2013)
Chao Wu, Yike Guo
Enhanced user data privacy with pay-by-data model. IEEE BigData (2013)
Chao Wu, Di Wu, Shulin Yan, Yike Guo
Sensor Deployment in Bayesian Compressive Sensing Based Environmental Monitoring. MobiQuitous (2013)
Yike Guo, Chao Wu, Diego Peteiro-Barral
An EEG-Based Brain Informatics Application for Enhancing Music Experience. Brain Informatics (2012)
Sijin He, Li Guo, Yike Guo, Chao Wu, Moustafa Ghanem, Rui Han
Elastic Application Container: A Lightweight Approach for Cloud Resource Provisioning. AINA (2012)
Chao Wu, Yike Guo
A New Paradigm for Web App Development, Deployment, Distribution, and Collaboration. ICSOFT (2012)
Chao Wu, Yike Guo, Bo Zhou
Social networking federation: A position paper. Comput. Electr. Eng. 38 (2) (2012)
Chao Wu, Yike Guo
Detecting insecure person in crowd with human sensor. ANT/MobiWIS (2011)