Detecting insecure person in crowd with human sensor. - Chao Wu 001; Yike Guo (ANT/MobiWIS, 2011)

Elastic Application Container: A Lightweight Approach for Cloud Resource Provisioning. - Sijin He; Li Guo 002; Yike Guo; Chao Wu 001; Moustafa Ghanem; Rui Han 001 (AINA, 2012)

An EEG-Based Brain Informatics Application for Enhancing Music Experience. - Yike Guo; Chao Wu 001; Diego Peteiro-Barral (Brain Informatics, 2012)

A New Paradigm for Web App Development, Deployment, Distribution, and Collaboration. - Chao Wu 001; Yike Guo (ICSOFT, 2012)

Social networking federation: A position paper. - Chao Wu 001; Yike Guo; Bo Zhou (Comput. Electr. Eng., 2012)

Building a generic platform for big sensor data application. - Chun-Hsiang Lee; David Birch; Chao Wu 001; Dilshan Silva; Orestis Tsinalis; Yang Li 003; Shulin Yan; Moustafa Ghanem; Yike Guo (IEEE BigData, 2013)

Enhanced user data privacy with pay-by-data model. - Chao Wu 001; Yike Guo (IEEE BigData, 2013)

An Approximation Approach to Measurement Design in the Reconstruction of Functional MRI Sequences. - Shulin Yan; Lei Nie; Chao Wu 001; Yike Guo (Brain and Health Informatics, 2013)

Sensor Deployment in Bayesian Compressive Sensing Based Environmental Monitoring. - Chao Wu 001; Di Wu 002; Shulin Yan; Yike Guo (MobiQuitous, 2013)

Elastic Information Management for Air Pollution Monitoring in Large-Scale M2M Sensor Networks. - Yajie Ma; Yike Guo; Dilshan Silva; Orestis Tsinalis; Chao Wu 001 (Int. J. Distributed Sens. Networks, 2013)

Building a cloud-based platform for personal health sensor data management. - Yang Li 003; Li Guo 002; Chao Wu 001; Chun-Hsiang Lee; Yike Guo (BHI, 2014)

Balancing the Stability and Predictive Performance for Multivariate Voxel Selection in fMRI Study. - Shulin Yan; Xian Yang 001; Chao Wu 001; Zhiyun Zheng; Yike Guo (Brain Informatics and Health, 2014)

Integration of sparse Bayesian learning and random subspace for fMRI Multivariate Pattern Analysis. - Shulin Yan; Xian Yang 001; Chao Wu 001; Yike Guo (EMBC, 2014)

Linear Dynamic Sparse Modelling for functional MR imaging. - Shulin Yan; Lei Nie; Chao Wu 001; Yike Guo (Brain Informatics, 2014)

Concinnity: A Generic Platform for Big Sensor Data Applications. - Chao Wu 001; David Birch; Dilshan Silva; Chun-Hsiang Lee; Orestis Tsinalis; Yike Guo (IEEE Cloud Comput., 2014)

Generating Computational Taxonomy for Business Models of the Digital Economy. - Chao Wu 001; Yi Cai 001; Mei Zhao; Songping Huang; Yike Guo (DASFAA Workshops, 2016)

Mixed Neural Network Approach for Temporal Sleep Stage Classification. - Hao Dong 003; Akara Supratak; Wei Pan 004; Chao Wu 001; Paul M. Matthews; Yike Guo (CoRR, 2016)

Survey on Feature Extraction and Applications of Biosignals. - Akara Supratak; Chao Wu 001; Hao Dong 003; Kai Sun 005; Yike Guo (Machine Learning for Health Informatics, 2016)

Semantic Image Synthesis via Adversarial Learning. - Hao Dong 003; Simiao Yu; Chao Wu 001; Yike Guo (ICCV, 2017)

Exploratory Analysis of Big Social Data Using MIC/MINE Statistics. - Piyawat Lertvittayakumjorn; Chao Wu 001; Yue Liu; Hong Mi; Yike Guo (SocInfo (2), 2017)

Unsupervised Image-to-Image Translation with Generative Adversarial Networks. - Hao Dong 003; Paarth Neekhara; Chao Wu 001; Yike Guo (CoRR, 2017)

A Visual Analytics Approach for Station-Based Air Quality Data. - Yi Du; CuiXia Ma; Chao Wu 001; Xiaowei Xu; Yike Guo; Yuanchun Zhou; Jianhui Li (Sensors, 2017)

Data Quality Transaction on Different Distributed Ledger Technologies. - Chao Wu 001; Liyi Zhou; Chulin Xie; Yuhang Zheng; Jiawei Yu (BigSDM, 2018)

Deep Sequence Learning with Auxiliary Information for Traffic Prediction. - Binbing Liao; Jingqing Zhang; Chao Wu 001; Douglas McIlwraith; Tong Chen 006; Shengwen Yang; Yike Guo; Fei Wu 001 (KDD, 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 001; Shengwen Yang; Wenwu Zhu 001; Yike Guo; Fei Wu 001 (ACM Multimedia, 2018)

Text-to-Image Synthesis via Visual-Memory Creative Adversarial Network. - Shengyu Zhang 001; Hao Dong 003; Wei Hu; Yike Guo; Chao Wu 001; Di Xie; Fei Wu 001 (PCM (3), 2018)

Dropping Activation Outputs With Localized First-Layer Deep Network for Enhancing User Privacy and Data Security. - Hao Dong 003; Chao Wu 001; Zhen Wei; Yike Guo (IEEE Trans. Inf. Forensics Secur., 2018)

Distributed Modelling Approaches for Data Privacy Preserving. - Chao Wu 001; Fengda Zhang; Fei Wu 001 (BigMM, 2019)

Generative Creativity: Adversarial Learning for Bionic Design. - Simiao Yu; Hao Dong 003; Pan Wang 005; Chao Wu 001; Yike Guo (ICANN (3), 2019)

SIMGAN: Photo-Realistic Semantic Image Manipulation Using Generative Adversarial Networks. - Simiao Yu; Hao Dong 003; Felix Liang; Yuanhan Mo; Chao Wu 001; Yike Guo (ICIP, 2019)

Training Encrypted Models with Privacy-preserved Data on Blockchain. - Lifeng Liu; Yifan Hu; Jiawei Yu; Fengda Zhang; Gang Huang 004; Jun Xiao 001; Chao Wu 001 (ICVISP, 2019)

Exploratory Analysis for Big Social Data Using Deep Network. - Chao Wu 001; Guolong Wang 002; Jiangcheng Zhu; Piyawat Lertvittayakumjorn; Simon Hu 001; Chilie Tan; Hong Mi; Yadan Xu; Jun Xiao 001 (IEEE Access, 2019)

Galaxy Learning - A Position Paper. - Chao Wu 001; Jun Xiao 001; Gang Huang 004; Fei Wu 001 (CoRR, 2019)

An artificial intelligence based data-driven approach for design ideation. - Liuqing Chen; Pan Wang 005; Hao Dong 003; Feng Shi 007; Ji Han; Yike Guo; Peter R. N. Childs; Jun Xiao 001; Chao Wu 001 (J. Vis. Commun. Image Represent., 2019)

Multi-Tenant Machine Learning Platform Based on Kubernetes. - Chun-Hsiang Lee; Zhaofeng Li 006; Xu Lu; Tiyun Chen; Saisai Yang; Chao Wu 001 (ICCAI, 2020)

A Low-Cost Method for Designing and Updating a DRGs Classifier Based on Machine Learning. - Chenhao Fang; Zhenzhou Shao; Chao Wu 001 (ICMHI, 2020)

Evaluation Framework For Large-scale Federated Learning. - Lifeng Liu; Fengda Zhang; Jun Xiao 001; Chao Wu 001 (CoRR, 2020)

Federated Mutual Learning. - Tao Shen 002; Jie Zhang 081; Xinkang Jia; Fengda Zhang; Gang Huang 004; Pan Zhou; Fei Wu 001; Chao Wu 001 (CoRR, 2020)

Federated Unsupervised Representation Learning. - Fengda Zhang; Kun Kuang; Zhaoyang You; Tao Shen 002; Jun Xiao 001; Yin Zhang 006; Chao Wu 001; Yueting Zhuang; Xiaolin Li (CoRR, 2020)

GFL: A Decentralized Federated Learning Framework Based On Blockchain. - Yifan Hu; Wei Xia; Jun Xiao 001; Chao Wu 001 (CoRR, 2020)

When Sharing Economy Meets IoT: Towards Fine-grained Urban Air Quality Monitoring through Mobile Crowdsensing on Bike-share System. - Di Wu 002; Tao Xiao; Xuewen Liao; Jie Luo; Chao Wu 001; Shigeng Zhang; Yong Li 008; Yike Guo (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020)

Multi-platform data collection for public service with Pay-by-Data. - Chao Wu 001; Simon Hu 001; Chun-Hsiang Lee; Jun Xiao 001 (Multim. Tools Appl., 2020)

An Automated Machine-Learning Approach for Road Pothole Detection Using Smartphone Sensor Data. - Chao Wu 001; Zhen Wang; Simon Hu 001; Julien Lepine; Xiaoxiang Na; Daniel Ainalis; Marc Stettler (Sensors, 2020)

Web-based Platform for K-12 AI Education in China. - Chao Wu 001; Yan Li 086; Junxiang Li; Qiongdan Zhang; Fei Wu 001 (AAAI, 2021)

Optimizing Federated Learning on Non-IID Data Using Local Shapley Value. - Zuoqi Tang; Feifei Shao; Long Chen 016; Yunan Ye; Chao Wu 001; Jun Xiao 001 (CICAI (2), 2021)

Evaluate the Contribution of Multiple Participants in Federated Learning. - Zhaoyang You; Xinya Wu; Kexuan Chen; Xinyi Liu; Chao Wu 001 (DEXA (2), 2021)

KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation. - Haozhe Feng; Zhaoyang You; Minghao Chen; Tianye Zhang; Minfeng Zhu 001; Fei Wu 001; Chao Wu 001; Wei Chen 001 (ICML, 2021)

AI+X micro-program fosters interdisciplinary skills in China. - Fei Wu 001; Qinming He; Chao Wu 001 (Commun. ACM, 2021)

Design of Deep Learning Model for Task-Evoked fMRI Data Classification. - Xiaojie Huang; Jun Xiao 001; Chao Wu 001 (Comput. Intell. Neurosci., 2021)

Efficient Ring-topology Decentralized Federated Learning with Deep Generative Models for Industrial Artificial Intelligent. - Zhao Wang; Yifan Hu; Jun Xiao 001; Chao Wu 001 (CoRR, 2021)

Federated Graph Learning - A Position Paper. - Huanding Zhang; Tao Shen 002; Fei Wu 001; Mingyang Yin; Hongxia Yang; Chao Wu 001 (CoRR, 2021)

Ensemble Federated Adversarial Training with Non-IID data. - Shuang Luo; Didi Zhu; Zexi Li 001; Chao Wu 001 (CoRR, 2021)

Unified Group Fairness on Federated Learning. - Fengda Zhang; Kun Kuang; Yuxuan Liu; Chao Wu 001; Fei Wu 001; Jiaxun Lu; Yunfeng Shao 001; Jun Xiao 001 (CoRR, 2021)

Edge-Cloud Polarization and Collaboration: A Comprehensive Survey. - Jiangchao Yao; Shengyu Zhang 001; Yang Yao; Feng Wang 072; Jianxin Ma; Jianwei Zhang 012; Yunfei Chu; Luo Ji; Kunyang Jia; Tao Shen 002; Anpeng Wu; Fengda Zhang; et al. (CoRR, 2021)

A Practical Data-Free Approach to One-shot Federated Learning with Heterogeneity. - Jie Zhang 081; Chen Chen 043; Bo Li 115; Lingjuan Lyu; Shuang Wu 001; Jianghe Xu; Shouhong Ding; Chao Wu 001 (CoRR, 2021)

DRG grouping by machine learning: from expert-oriented to data-based method. - Xiaoting Liu; Chenhao Fang; Chao Wu 001; Jianxing Yu; Qi Zhao (BMC Medical Informatics Decis. Mak., 2021)

SGW-Based Multi-task Learning in Vision Tasks. - Ruiyuan Zhang; Yuyao Chen; Jiaxiang Liu; Dianbing Xi; Yuchi Huo; Jie Liu; Chao Wu 001 (ACCV (4), 2022)

Towards Efficient Data Free Blackbox Adversarial Attack. - Jie Zhang 081; Bo Li 115; Jianghe Xu; Shuang Wu 001; Shouhong Ding; Lei Zhang 197; Chao Wu 001 (CVPR, 2022)

Adversarial Examples for Good: Adversarial Examples Guided Imbalanced Learning. - Jie Zhang 081; Lei Zhang 197; Gang Li; Chao Wu 001 (ICIP, 2022)

Federated Learning with Label Distribution Skew via Logits Calibration. - Jie Zhang 081; Zhiqi Li 004; Bo Li 115; Jianghe Xu; Shuang Wu 001; Shouhong Ding; Chao Wu 001 (ICML, 2022)

Modeling Freight-Sharing Platform Operations for Optimal Compensation Strategy Using Markov Decision Processes. - Siqi Shu; Zhengqi Chen; Zhe Yu 001; Shaosheng Cao; Guobin Wu 001; Donghai Shi; Gaoang Wang; Zuozhu Liu; Xiqun Chen; Xiaoxiang Na; Chao Wu 001; Simon Hu 001 (ITSC, 2022)

S2RL: Do We Really Need to Perceive All States in Deep Multi-Agent Reinforcement Learning? - Shuang Luo; Yinchuan Li; Jiahui Li 003; Kun Kuang; Furui Liu; Yunfeng Shao 001; Chao Wu 001 (KDD, 2022)

DENSE: Data-Free One-Shot Federated Learning. - Jie Zhang 081; Chen Chen 043; Bo Li 115; Lingjuan Lyu; Shuang Wu 001; Shouhong Ding; Chunhua Shen; Chao Wu 001 (NeurIPS, 2022)

Mining Latent Relationships among Clients: Peer-to-peer Federated Learning with Adaptive Neighbor Matching. - Zexi Li 001; Jiaxun Lu; Shuang Luo; Didi Zhu; Yunfeng Shao 001; Yinchuan Li; Zhimeng Zhang; Chao Wu 001 (CoRR, 2022)

A framework for self-supervised federated domain adaptation. - Bin Wang; Gang Li; Chao Wu 001; Weishan Zhang; Jiehan Zhou; Ye Wei (EURASIP J. Wirel. Commun. Netw., 2022)

Machine learning techniques to predict reactionary delays and other associated key performance indicators on British railway network. - Panukorn Taleongpong; Simon Hu 001; Zhoutong Jiang; Chao Wu 001; Sunday Popo-Ola; Ke Han (J. Intell. Transp. Syst., 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 001 (Multim. Tools Appl., 2022)

Can we share models if sharing data is not an option? - Zexi Li 001; Feng Mao; Chao Wu 001 (Patterns, 2022)

Shuhai: A Tool for Benchmarking High Bandwidth Memory on FPGAs. - Hongjing Huang; Zeke Wang; Jie Zhang 081; Zhenhao He; Chao Wu 001; Jun Xiao 001; Gustavo Alonso (IEEE Trans. Computers, 2022)

TICS: text-image-based semantic CAPTCHA synthesis via multi-condition adversarial learning. - Xinkang Jia; Jun Xiao 001; Chao Wu 001 (Vis. Comput., 2022)

Delving into the Adversarial Robustness of Federated Learning. - Jie Zhang 081; Bo Li 115; Chen Chen 043; Lingjuan Lyu; Shuang Wu 001; Shouhong Ding; Chao Wu 001 (AAAI, 2023)

Score-PA: Score-based 3D Part Assembly. - Junfeng Cheng; Mingdong Wu; Ruiyuan Zhang; Guanqi Zhan; Chao Wu 001; Hao Dong 003 (BMVC, 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 001 (CSCWD, 2023)

No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier. - Zexi Li 001; Xinyi Shang; Rui He; Tao Lin; Chao Wu 001 (ICCV, 2023)

Universal Domain Adaptation via Compressive Attention Matching. - Didi Zhu; Yinchuan Li; Junkun Yuan; Zexi Li 001; Kun Kuang; Chao Wu 001 (ICCV, 2023)

Target-Discriminability-Induced Multi-Source-Free Domain Adaptation. - Gang Li; Qifei Zhang 001; Peizheng Wang; Rui He; Chao Wu 001 (ICIP, 2023)

Fairness-aware Contrastive Learning with Partially Annotated Sensitive Attributes. - Fengda Zhang; Kun Kuang; Long Chen 016; Yuxuan Liu; Chao Wu 001; Jun Xiao 001 (ICLR, 2023)

Federated Domain Adaptation via Pseudo-label Refinement. - Gang Li; Qifei Zhang 001; Peizheng Wang; Jie Zhang 081; Chao Wu 001 (ICME, 2023)

Learning Cautiously in Federated Learning with Noisy and Heterogeneous Clients. - Chenrui Wu 002; Zexi Li 001; Fangxin Wang 001; Chao Wu 001 (ICME, 2023)

Revisiting Weighted Aggregation in Federated Learning with Neural Networks. - Zexi Li 001; Tao Lin; Xinyi Shang; Chao Wu 001 (ICML, 2023)

Transformer-Based Multi-Source Domain Adaptation Without Source Data. - Gang Li; Chao Wu 001 (IJCNN, 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 112; Qifei Zhang 001; Chao Wu 001 (ACM Multimedia, 2023)

Generalized Universal Domain Adaptation with Generative Flow Networks. - Didi Zhu; Yinchuan Li; Yunfeng Shao 001; Jianye Hao; Fei Wu 001; Kun Kuang; Jun Xiao 001; Chao Wu 001 (ACM Multimedia, 2023)

Edge-cloud Collaborative Learning with Federated and Centralized Features. - Zexi Li 001; Qunwei Li; Yi Zhou; Wenliang Zhong; Guannan Zhang; Chao Wu 001 (SIGIR, 2023)

Universal Domain Adaptation via Compressive Attention Matching. - Didi Zhu; Yinchuan Li; Junkun Yuan; Zexi Li 001; Yunfeng Shao 001; Kun Kuang; Chao Wu 001 (CoRR, 2023)

Data valuation: The partial ordinal Shapley value for machine learning. - Jie Liu; Peizheng Wang; Chao Wu 001 (CoRR, 2023)

Bridging the Gap: Neural Collapse Inspired Prompt Tuning for Generalization under Class Imbalance. - Didi Zhu; Yinchuan Li; Min Zhang 005; Junkun Yuan; Jiashuo Liu; Zexi Li 001; Kun Kuang; Chao Wu 001 (CoRR, 2023)

FediOS: Decoupling Orthogonal Subspaces for Personalization in Feature-skew Federated Learning. - Lingzhi Gao; Zexi Li 001; Yang Lu 009; Chao Wu 001 (CoRR, 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 001; Zhao Wang (Comput. Animat. Virtual Worlds, 2023)

Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI. - Jiangchao Yao; Shengyu Zhang 001; Yang Yao; Feng Wang 072; Jianxin Ma; Jianwei Zhang 012; Yunfei Chu; Luo Ji; Kunyang Jia; Tao Shen 002; Anpeng Wu; Fengda Zhang; et al. (IEEE Trans. Knowl. Data Eng., 2023)

Federated unsupervised representation learning. - Fengda Zhang; Kun Kuang; Long Chen 016; Zhaoyang You; Tao Shen 002; Jun Xiao 001; Yin Zhang 006; Chao Wu 001; Fei Wu 001; Yueting Zhuang; Xiaolin Li (Frontiers Inf. Technol. Electron. Eng., 2023)

Federated mutual learning: a collaborative machine learning method for heterogeneous data, models, and objectives. - Tao Shen 002; Jie Zhang 081; Xinkang Jia; Fengda Zhang; Zheqi Lv; Kun Kuang; Chao Wu 001; Fei Wu 001 (Frontiers Inf. Technol. Electron. Eng., 2023)

A Federated Learning-Based Framework for Ride-Sourcing Traffic Demand Prediction. - Simon Hu 001; Yin Ye; Qinru Hu; Xin Liu; Shaosheng Cao; Howard H. Yang; Yongdong Shen; Panagiotis Angeloudis; Leandro Parada; Chao Wu 001 (IEEE Trans. Veh. Technol., 2023)

Scalable Geometric Fracture Assembly via Co-creation Space among Assemblers. - Ruiyuan Zhang; Jiaxiang Liu; Zexi Li 001; Hao Dong 003; Jie Fu 001; Chao Wu 001 (AAAI, 2024)

Distributionally Generative Augmentation for Fair Facial Attribute Classification. - Fengda Zhang; Qianpei He; Kun Kuang; Jiashuo Liu; Long Chen 016; Chao Wu 001; Jun Xiao 001; Hanwang Zhang (CVPR, 2024)

More Than Catastrophic Forgetting: Integrating General Capabilities For Domain-Specific LLMs. - Chengyuan Liu; Yangyang Kang; Shihang Wang; Lizhi Qing; Fubang Zhao; Chao Wu 001; Changlong Sun; Kun Kuang; Fei Wu 001 (EMNLP, 2024)

Service Satisfaction Evaluation from Gaits Using Local Low-level and Global Co-occurrence Features. - Hao Li 112; Lulu Huang; Wenzhuo Cheng; Xiaoyi Wang; Chao Wu 001 (ICICT, 2024)

Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models. - Didi Zhu; Zhongyi Sun 002; Zexi Li 001; Tao Shen 002; Ke Yan; Shouhong Ding; Chao Wu 001; Kun Kuang (ICML, 2024)

Feature Transformation for Few-Shot Learning. - Peizheng Wang; Qifei Zhang 001; Jie Zhang 081; Gang Li; Chao Wu 001 (IJCNN, 2024)

Neural Collapse Anchored Prompt Tuning for Generalizable Vision-Language Models. - Didi Zhu; Zexi Li 001; Min Zhang 005; Junkun Yuan; Jiashuo Liu; Kun Kuang; Chao Wu 001 (KDD, 2024)

Advancing Prompt Learning through an External Layer. - Fangming Cui; Xun Yang 001; Chao Wu 001; Liang Xiao 007; Xinmei Tian 001 (ACM Multimedia, 2024)

Walking is Matter: A Benchmark for Fine-Grained Gait Segmentation. - Zhongguang Zhang; Wenzhu Xu; Min Tang; Yulin Zhou; Qifei Zhang 001; Chao Wu 001; Zhao Wang (PRCV (11), 2024)

Training-time Neuron Alignment through Permutation Subspace for Improving Linear Mode Connectivity and Model Fusion. - Zexi Li 001; Zhiqi Li 004; Jie Lin; Tao Shen 002; Tao Lin; Chao Wu 001 (CoRR, 2024)

Improving Group Connectivity for Generalization of Federated Deep Learning. - Zexi Li 001; Jie Lin; Zhiqi Li 004; Didi Zhu; Chao Wu 001 (CoRR, 2024)

Constructing Data Transaction Chains Based on Opportunity Cost Exploration. - Jie Liu; Tao Feng; Yan Jiang; Peizheng Wang; Chao Wu 001 (CoRR, 2024)

Text-to-Model: Text-Conditioned Neural Network Diffusion for Train-Once-for-All Personalization. - Zexi Li 001; Lingzhi Gao; Chao Wu 001 (CoRR, 2024)

Multi-agent Continuous Control with Generative Flow Networks. - Shuang Luo; Yinchuan Li; Shunyu Liu 001; Xu Zhang 011; Yunfeng Shao 001; Chao Wu 001 (Neural Networks, 2024)

Towards Effective Clustered Federated Learning: A Peer-to-Peer Framework With Adaptive Neighbor Matching. - Zexi Li 001; Jiaxun Lu; Shuang Luo; Didi Zhu; Yunfeng Shao 001; Yinchuan Li; Zhimeng Zhang; Yongheng Wang; Chao Wu 001 (IEEE Trans. Big Data, 2024)

Rewrite to Jailbreak: Discover Learnable and Transferable Implicit Harmfulness Instruction. - Yuting Huang 001; Chengyuan Liu; Yifeng Feng; Yiquan Wu 001; Chao Wu 001; Fei Wu 001; Kun Kuang (ACL (Findings), 2025)

REMEDY: Recipe Merging Dynamics in Large Vision-Language Models. - Didi Zhu; Yibing Song; Tao Shen 002; Ziyu Zhao 001; Jinluan Yang; Min Zhang 005; Chao Wu 001 (ICLR, 2025)

Utilizing RBC system for taxation policy evaluation: An adaptive interaction framework based on deep reinforcement learning. - Shuang Luo; Shunyu Liu 001; Tianrun Cai; Chao Wu 001 (Expert Syst. Appl., 2025)

Rewrite to Jailbreak: Discover Learnable and Transferable Implicit Harmfulness Instruction. - Yuting Huang 001; Chengyuan Liu; Yifeng Feng; Chao Wu 001; Fei Wu 001; Kun Kuang (CoRR, 2025)

You Are Your Own Best Teacher: Achieving Centralized-level Performance in Federated Learning under Heterogeneous and Long-tailed Data. - Shanshan Yan; Zexi Li 001; Chao Wu 001; Meng Pang; Yang Lu 009; Yan Yan; Hanzi Wang (CoRR, 2025)

CAPT: Class-Aware Prompt Tuning for Federated Long-Tailed Learning with Vision-Language Model. - Shihao Hou; Xinyi Shang; Shreyank N. Gowda; Yang Lu 009; Chao Wu 001; Yan Yan; Hanzi Wang (CoRR, 2025)

Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices. - Tao Shen 002; Didi Zhu; Ziyu Zhao 001; Chao Wu 001; Fei Wu 001 (CoRR, 2025)

Leveraging Pretrained Diffusion Models for Zero-Shot Part Assembly. - Ruiyuan Zhang; Qi Wang 111; Jiaxiang Liu; Yu Zhang 126; Yuchi Huo; Chao Wu 001 (CoRR, 2025)

FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning. - Tao Shen 002; Zexi Li 001; Didi Zhu; Ziyu Zhao 001; Chao Wu 001; Fei Wu 001 (CoRR, 2025)