Chao Wu - RankMe

149 papers A* 26A 3B 6C 3Journal 85Unranked 25

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Editing as Unlearning: Are Knowledge Editing Methods Strong Baselines for Large Language Model Unlearning? AAAI Zexi Li, Xiangzhu Wang, William F. Shen, Meghdad Kurmanji, Xinchi Qiu, Dongqi Cai, Chao Wu, Nicholas D. Lane
2026	J	`jnl`	Improving Model Fusion by Training-Time Neuron Alignment With Fixed Neuron Anchors. IEEE Trans. Pattern Anal. Mach. Intell. Zexi Li, Zhiqi Li, Jie Lin, Tao Shen, Jun Xiao, Yike Guo, Tao Lin, Chao Wu
2026	J	`jnl`	Watch Wider and Think Deeper: Collaborative Cross-modal Chain-of-Thought for Complex Visual Reasoning. CoRR Wenting Lu, Didi Zhu, Tao Shen, Donglin Zhu, Ayong Ye, Chao Wu
2025	J	`jnl`	CAPT: Class-Aware Prompt Tuning for Federated Long-Tailed Learning with Vision-Language Model. CoRR Shihao Hou, Xinyi Shang, Shreyank N. Gowda, Yang Lu, Chao Wu, Yan Yan, Hanzi Wang
2025	J	`jnl`	Editing as Unlearning: Are Knowledge Editing Methods Strong Baselines for Large Language Model Unlearning? CoRR Zexi Li, Xiangzhu Wang, William F. Shen, Meghdad Kurmanji, Xinchi Qiu, Dongqi Cai, Chao Wu, Nicholas D. Lane
2025	J	`jnl`	Effective Two-Stage Double Auction for Dynamic Resource Provision Over Edge Networks via Discovering the Power of Overbooking. IEEE Trans. Serv. Comput. Sicheng Wu, Minghui Liwang, Deqing Wang, Xianbin Wang, Chao Wu, Junyi Tang, Li Li, Xiaoyu Xia
2025	J	`jnl`	Effective Two-Stage Double Auction for Dynamic Resource Trading in Edge Networks via Overbooking. CoRR Sicheng Wu, Minghui Liwang, Deqing Wang, Xianbin Wang, Chao Wu, Junyi Tang, Li Li, Zhenzhen Jiao
2025	J	`jnl`	FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning. CoRR Tao Shen, Zexi Li, Didi Zhu, Ziyu Zhao, Chao Wu, Fei Wu
2025	—	`conf`	FedGuCci: Making Local Models More Connected in Landscape for Federated Learning. KDD (2) Zexi Li, Jie Lin, Zhiqi Li, Didi Zhu, Tao Shen, Tao Lin, Chao Wu, Nicholas D. Lane
2025	J	`jnl`	FedMcon: an adaptive aggregation method for federated learning via meta controller. Frontiers Inf. Technol. Electron. Eng. Tao Shen, Zexi Li, Ziyu Zhao, Didi Zhu, Zheqi Lv, Kun Kuang, Shengyu Zhang, Chao Wu, Fei Wu
2025	J	`jnl`	FediOS: decoupling orthogonal subspaces for personalization in feature-skew federated learning. Mach. Learn. Lingzhi Gao, Zexi Li, Xinyi Shang, Yang Lu, Chao Wu
2025	J	`jnl`	Generalized Multi-agent Social Simulation Framework. CoRR Gang Li, Jie Lin, Yining Tang, Ziteng Wang, Yirui Huang, Junyu Zhang, Shuang Luo, Chao Wu, Yike Guo
2025	A*	`conf`	Leveraging Pretrained Diffusion Models for Zero-Shot Part Assembly. IJCAI Ruiyuan Zhang, Qi Wang, Jiaxiang Liu, Yuchi Huo, Chao Wu
2025	J	`jnl`	Leveraging Pretrained Diffusion Models for Zero-Shot Part Assembly. CoRR Ruiyuan Zhang, Qi Wang, Jiaxiang Liu, Yu Zhang, Yuchi Huo, Chao Wu
2025	A*	`conf`	REMEDY: Recipe Merging Dynamics in Large Vision-Language Models. ICLR Didi Zhu, Yibing Song, Tao Shen, Ziyu Zhao, Jinluan Yang, Min Zhang, Chao Wu
2025	—	`conf`	Rewrite to Jailbreak: Discover Learnable and Transferable Implicit Harmfulness Instruction. ACL (Findings) Yuting Huang, Chengyuan Liu, Yifeng Feng, Yiquan Wu, Chao Wu, Fei Wu, Kun Kuang
2025	J	`jnl`	Rewrite to Jailbreak: Discover Learnable and Transferable Implicit Harmfulness Instruction. CoRR Yuting Huang, Chengyuan Liu, Yifeng Feng, Chao Wu, Fei Wu, Kun Kuang
2025	J	`jnl`	Utilizing RBC system for taxation policy evaluation: An adaptive interaction framework based on deep reinforcement learning. Expert Syst. Appl. Shuang Luo, Shunyu Liu, Tianrun Cai, Chao Wu
2025	J	`jnl`	Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices. CoRR Tao Shen, Didi Zhu, Ziyu Zhao, Chao Wu, Fei Wu
2025	J	`jnl`	You Are Your Own Best Teacher: Achieving Centralized-level Performance in Federated Learning under Heterogeneous and Long-tailed Data. CoRR Shanshan Yan, Zexi Li, Chao Wu, Meng Pang, Yang Lu, Yan Yan, Hanzi Wang
2024	A*	`conf`	Advancing Prompt Learning through an External Layer. ACM Multimedia Fangming Cui, Xun Yang, Chao Wu, Liang Xiao, Xinmei Tian
2024	J	`jnl`	Advancing Prompt Learning through an External Layer. CoRR Fangming Cui, Xun Yang, Chao Wu, Liang Xiao, Xinmei Tian
2024	J	`jnl`	Constructing Data Transaction Chains Based on Opportunity Cost Exploration. CoRR Jie Liu, Tao Feng, Yan Jiang, Peizheng Wang, Chao Wu
2024	A*	`conf`	Distributionally Generative Augmentation for Fair Facial Attribute Classification. CVPR Fengda Zhang, Qianpei He, Kun Kuang, Jiashuo Liu, Long Chen, Chao Wu, Jun Xiao, Hanwang Zhang
2024	J	`jnl`	Distributionally Generative Augmentation for Fair Facial Attribute Classification. CoRR Fengda Zhang, Qianpei He, Kun Kuang, Jiashuo Liu, Long Chen, Chao Wu, Jun Xiao, Hanwang Zhang
2024	B	`conf`	Feature Transformation for Few-Shot Learning. IJCNN Peizheng Wang, Qifei Zhang, Jie Zhang, Gang Li, Chao Wu
2024	J	`jnl`	Improving Group Connectivity for Generalization of Federated Deep Learning. CoRR Zexi Li, Jie Lin, Zhiqi Li, Didi Zhu, Chao Wu
2024	A*	`conf`	Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models. ICML Didi Zhu, Zhongyi Sun, Zexi Li, Tao Shen, Ke Yan, Shouhong Ding, Chao Wu, Kun Kuang
2024	J	`jnl`	Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models. CoRR Didi Zhu, Zhongyi Sun, Zexi Li, Tao Shen, Ke Yan, Shouhong Ding, Kun Kuang, Chao Wu
2024	A*	`conf`	More Than Catastrophic Forgetting: Integrating General Capabilities For Domain-Specific LLMs. EMNLP Chengyuan Liu, Yangyang Kang, Shihang Wang, Lizhi Qing, Fubang Zhao, Chao Wu, Changlong Sun, Kun Kuang, Fei Wu
2024	J	`jnl`	Multi-Agent Continuous Control with Generative Flow Networks. CoRR Shuang Luo, Yinchuan Li, Shunyu Liu, Xu Zhang, Yunfeng Shao, Chao Wu
2024	J	`jnl`	Multi-agent Continuous Control with Generative Flow Networks. Neural Networks Shuang Luo, Yinchuan Li, Shunyu Liu, Xu Zhang, Yunfeng Shao, Chao Wu
2024	A*	`conf`	Neural Collapse Anchored Prompt Tuning for Generalizable Vision-Language Models. KDD Didi Zhu, Zexi Li, Min Zhang, Junkun Yuan, Jiashuo Liu, Kun Kuang, Chao Wu
2024	J	`jnl`	SGW-based Multi-Task Learning in Vision Tasks. CoRR Ruiyuan Zhang, Yuyao Chen, Yuchi Huo, Jiaxiang Liu, Dianbing Xi, Jie Liu, Chao Wu
2024	A*	`conf`	Scalable Geometric Fracture Assembly via Co-creation Space among Assemblers. AAAI Ruiyuan Zhang, Jiaxiang Liu, Zexi Li, Hao Dong, Jie Fu, Chao Wu
2024	—	`conf`	Service Satisfaction Evaluation from Gaits Using Local Low-level and Global Co-occurrence Features. ICICT Hao Li, Lulu Huang, Wenzhuo Cheng, Xiaoyi Wang, Chao Wu
2024	J	`jnl`	Text-to-Model: Text-Conditioned Neural Network Diffusion for Train-Once-for-All Personalization. CoRR Zexi Li, Lingzhi Gao, Chao Wu
2024	J	`jnl`	Towards Effective Clustered Federated Learning: A Peer-to-Peer Framework With Adaptive Neighbor Matching. IEEE Trans. Big Data Zexi Li, Jiaxun Lu, Shuang Luo, Didi Zhu, Yunfeng Shao, Yinchuan Li, Zhimeng Zhang, Yongheng Wang, Chao Wu
2024	J	`jnl`	Training-time Neuron Alignment through Permutation Subspace for Improving Linear Mode Connectivity and Model Fusion. CoRR Zexi Li, Zhiqi Li, Jie Lin, Tao Shen, Tao Lin, Chao Wu
2024	—	`conf`	Walking is Matter: A Benchmark for Fine-Grained Gait Segmentation. PRCV (11) Zhongguang Zhang, Wenzhu Xu, Min Tang, Yulin Zhou, Qifei Zhang, Chao Wu, Zhao Wang
2023	J	`jnl`	A Federated Learning-Based Framework for Ride-Sourcing Traffic Demand Prediction. IEEE Trans. Veh. Technol. Simon Hu, Yin Ye, Qinru Hu, Xin Liu, Shaosheng Cao, Howard H. Yang, Yongdong Shen, Panagiotis Angeloudis, Leandro Parada, Chao Wu
2023	J	`jnl`	Bridging the Gap: Neural Collapse Inspired Prompt Tuning for Generalization under Class Imbalance. CoRR Didi Zhu, Yinchuan Li, Min Zhang, Junkun Yuan, Jiashuo Liu, Zexi Li, Kun Kuang, Chao Wu
2023	J	`jnl`	Data valuation: The partial ordinal Shapley value for machine learning. CoRR Jie Liu, Peizheng Wang, Chao Wu
2023	A*	`conf`	Delving into the Adversarial Robustness of Federated Learning. AAAI Jie Zhang, Bo Li, Chen Chen, Lingjuan Lyu, Shuang Wu, Shouhong Ding, Chao Wu
2023	J	`jnl`	Delving into the Adversarial Robustness of Federated Learning. CoRR Jie Zhang, Bo Li, Chen Chen, Lingjuan Lyu, Shuang Wu, Shouhong Ding, Chao Wu
2023	J	`jnl`	Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI. IEEE Trans. Knowl. Data Eng. 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
2023	A*	`conf`	Edge-cloud Collaborative Learning with Federated and Centralized Features. SIGIR Zexi Li, Qunwei Li, Yi Zhou, Wenliang Zhong, Guannan Zhang, Chao Wu
2023	J	`jnl`	Edge-cloud Collaborative Learning with Federated and Centralized Features. CoRR Zexi Li, Qunwei Li, Yi Zhou, Wenliang Zhong, Guannan Zhang, Chao Wu
2023	A*	`conf`	Fairness-aware Contrastive Learning with Partially Annotated Sensitive Attributes. ICLR Fengda Zhang, Kun Kuang, Long Chen, Yuxuan Liu, Chao Wu, Jun Xiao
2023	A	`conf`	Federated Domain Adaptation via Pseudo-label Refinement. ICME Gang Li, Qifei Zhang, Peizheng Wang, Jie Zhang, Chao Wu
2023	J	`jnl`	Federated mutual learning: a collaborative machine learning method for heterogeneous data, models, and objectives. Frontiers Inf. Technol. Electron. Eng. Tao Shen, Jie Zhang, Xinkang Jia, Fengda Zhang, Zheqi Lv, Kun Kuang, Chao Wu, Fei Wu
2023	J	`jnl`	Federated unsupervised representation learning. Frontiers Inf. Technol. Electron. Eng. Fengda Zhang, Kun Kuang, Long Chen, Zhaoyang You, Tao Shen, Jun Xiao, Yin Zhang, Chao Wu, Fei Wu, Yueting Zhuang, Xiaolin Li
2023	J	`jnl`	FediOS: Decoupling Orthogonal Subspaces for Personalization in Feature-skew Federated Learning. CoRR Lingzhi Gao, Zexi Li, Yang Lu, Chao Wu
2023	A*	`conf`	Generalized Universal Domain Adaptation with Generative Flow Networks. ACM Multimedia Didi Zhu, Yinchuan Li, Yunfeng Shao, Jianye Hao, Fei Wu, Kun Kuang, Jun Xiao, Chao Wu
2023	J	`jnl`	Generalized Universal Domain Adaptation with Generative Flow Networks. CoRR Didi Zhu, Yinchuan Li, Yunfeng Shao, Jianye Hao, Fei Wu, Kun Kuang, Jun Xiao, Chao Wu
2023	A	`conf`	Learning Cautiously in Federated Learning with Noisy and Heterogeneous Clients. ICME Chenrui Wu, Zexi Li, Fangxin Wang, Chao Wu
2023	J	`jnl`	Learning Cautiously in Federated Learning with Noisy and Heterogeneous Clients. CoRR Chenrui Wu, Zexi Li, Fangxin Wang, Chao Wu
2023	A*	`conf`	No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier. ICCV Zexi Li, Xinyi Shang, Rui He, Tao Lin, Chao Wu
2023	J	`jnl`	No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier. CoRR Zexi Li, Xinyi Shang, Rui He, Tao Lin, Chao Wu
2023	J	`jnl`	PerimetryNet: A multiscale fine grained deep network for three-dimensional eye gaze estimation using visual field analysis. Comput. Animat. Virtual Worlds Shuqing Yu, Zhihao Wang, Shuowen Zhou, Xiaosong Yang, Chao Wu, Zhao Wang
2023	A*	`conf`	Revisiting Weighted Aggregation in Federated Learning with Neural Networks. ICML Zexi Li, Tao Lin, Xinyi Shang, Chao Wu
2023	J	`jnl`	Revisiting Weighted Aggregation in Federated Learning with Neural Networks. CoRR Zexi Li, Tao Lin, Xinyi Shang, Chao Wu
2023	J	`jnl`	Scalable Geometric Fracture Assembly via Co-creation Space among Assemblers. CoRR Ruiyuan Zhang, Jiaxiang Liu, Zexi Li, Hao Dong, Jie Fu, Chao Wu
2023	A	`conf`	Score-PA: Score-based 3D Part Assembly. BMVC Junfeng Cheng, Mingdong Wu, Ruiyuan Zhang, Guanqi Zhan, Chao Wu, Hao Dong
2023	J	`jnl`	Score-PA: Score-based 3D Part Assembly. CoRR Junfeng Cheng, Mingdong Wu, Ruiyuan Zhang, Guanqi Zhan, Chao Wu, Hao Dong
2023	C	`conf`	TFSF: Topological and Feature Space Fusion with Spatio-Temporal Modeling for Crop Yield Prediction. CSCWD Shifeng Xu, Yijing Zhou, Xiaoyang Yu, Cuiting Huang, Chao Wu
2023	B	`conf`	Target-Discriminability-Induced Multi-Source-Free Domain Adaptation. ICIP Gang Li, Qifei Zhang, Peizheng Wang, Rui He, Chao Wu
2023	B	`conf`	Transformer-Based Multi-Source Domain Adaptation Without Source Data. IJCNN Gang Li, Chao Wu
2023	A*	`conf`	Universal Domain Adaptation via Compressive Attention Matching. ICCV Didi Zhu, Yinchuan Li, Junkun Yuan, Zexi Li, Kun Kuang, Chao Wu
2023	J	`jnl`	Universal Domain Adaptation via Compressive Attention Matching. CoRR Didi Zhu, Yinchuan Li, Junkun Yuan, Zexi Li, Yunfeng Shao, Kun Kuang, Chao Wu
2023	A*	`conf`	When Masked Image Modeling Meets Source-free Unsupervised Domain Adaptation: Dual-Level Masked Network for Semantic Segmentation. ACM Multimedia Gang Li, Xianzheng Ma, Zhao Wang, Hao Li, Qifei Zhang, Chao Wu
2022	J	`jnl`	A framework for self-supervised federated domain adaptation. EURASIP J. Wirel. Commun. Netw. Bin Wang, Gang Li, Chao Wu, Weishan Zhang, Jiehan Zhou, Ye Wei
2022	B	`conf`	Adversarial Examples for Good: Adversarial Examples Guided Imbalanced Learning. ICIP Jie Zhang, Lei Zhang, Gang Li, Chao Wu
2022	J	`jnl`	Adversarial Examples for Good: Adversarial Examples Guided Imbalanced Learning. CoRR Jie Zhang, Lei Zhang, Gang Li, Chao Wu
2022	J	`jnl`	Can we share models if sharing data is not an option? Patterns Zexi Li, Feng Mao, Chao Wu
2022	A*	`conf`	DENSE: Data-Free One-Shot Federated Learning. NeurIPS Jie Zhang, Chen Chen, Bo Li, Lingjuan Lyu, Shuang Wu, Shouhong Ding, Chunhua Shen, Chao Wu
2022	A*	`conf`	Federated Learning with Label Distribution Skew via Logits Calibration. ICML Jie Zhang, Zhiqi Li, Bo Li, Jianghe Xu, Shuang Wu, Shouhong Ding, Chao Wu
2022	J	`jnl`	Federated Learning with Label Distribution Skew via Logits Calibration. CoRR Jie Zhang, Zhiqi Li, Bo Li, Jianghe Xu, Shuang Wu, Shouhong Ding, Chao Wu
2022	J	`jnl`	Machine learning techniques to predict reactionary delays and other associated key performance indicators on British railway network. J. Intell. Transp. Syst. Panukorn Taleongpong, Simon Hu, Zhoutong Jiang, Chao Wu, Sunday Popo-Ola, Ke Han
2022	J	`jnl`	Mining Latent Relationships among Clients: Peer-to-peer Federated Learning with Adaptive Neighbor Matching. CoRR Zexi Li, Jiaxun Lu, Shuang Luo, Didi Zhu, Yunfeng Shao, Yinchuan Li, Zhimeng Zhang, Chao Wu
2022	—	`conf`	Modeling Freight-Sharing Platform Operations for Optimal Compensation Strategy Using Markov Decision Processes. ITSC Siqi Shu, Zhengqi Chen, Zhe Yu, Shaosheng Cao, Guobin Wu, Donghai Shi, Gaoang Wang, Zuozhu Liu, Xiqun Chen, Xiaoxiang Na, Chao Wu, Simon Hu
2022	J	`jnl`	Research on real-time data transmission and multi-scale video image decomposition of embedded optical sensor array based on machine learning. Multim. Tools Appl. Mingxin Cai, Shanshan Wang, Chao Wu
2022	A*	`conf`	S2RL: Do We Really Need to Perceive All States in Deep Multi-Agent Reinforcement Learning? KDD Shuang Luo, Yinchuan Li, Jiahui Li, Kun Kuang, Furui Liu, Yunfeng Shao, Chao Wu
2022	J	`jnl`	S2RL: Do We Really Need to Perceive All States in Deep Multi-Agent Reinforcement Learning? CoRR Shuang Luo, Yinchuan Li, Jiahui Li, Kun Kuang, Furui Liu, Yunfeng Shao, Chao Wu
2022	—	`conf`	SGW-Based Multi-task Learning in Vision Tasks. ACCV (4) Ruiyuan Zhang, Yuyao Chen, Jiaxiang Liu, Dianbing Xi, Yuchi Huo, Jie Liu, Chao Wu
2022	J	`jnl`	Shuhai: A Tool for Benchmarking High Bandwidth Memory on FPGAs. IEEE Trans. Computers Hongjing Huang, Zeke Wang, Jie Zhang, Zhenhao He, Chao Wu, Jun Xiao, Gustavo Alonso
2022	J	`jnl`	TICS: text-image-based semantic CAPTCHA synthesis via multi-condition adversarial learning. Vis. Comput. Xinkang Jia, Jun Xiao, Chao Wu
2022	A*	`conf`	Towards Efficient Data Free Blackbox Adversarial Attack. CVPR Jie Zhang, Bo Li, Jianghe Xu, Shuang Wu, Shouhong Ding, Lei Zhang, Chao Wu
2021	J	`jnl`	A Practical Data-Free Approach to One-shot Federated Learning with Heterogeneity. CoRR Jie Zhang, Chen Chen, Bo Li, Lingjuan Lyu, Shuang Wu, Jianghe Xu, Shouhong Ding, Chao Wu
2021	J	`jnl`	AI+X micro-program fosters interdisciplinary skills in China. Commun. ACM Fei Wu, Qinming He, Chao Wu
2021	J	`jnl`	DRG grouping by machine learning: from expert-oriented to data-based method. BMC Medical Informatics Decis. Mak. Xiaoting Liu, Chenhao Fang, Chao Wu, Jianxing Yu, Qi Zhao
2021	J	`jnl`	Design of Deep Learning Model for Task-Evoked fMRI Data Classification. Comput. Intell. Neurosci. Xiaojie Huang, Jun Xiao, Chao Wu
2021	J	`jnl`	Edge-Cloud Polarization and Collaboration: A Comprehensive Survey. CoRR 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
2021	J	`jnl`	Efficient Ring-topology Decentralized Federated Learning with Deep Generative Models for Industrial Artificial Intelligent. CoRR Zhao Wang, Yifan Hu, Jun Xiao, Chao Wu
2021	J	`jnl`	Ensemble Federated Adversarial Training with Non-IID data. CoRR Shuang Luo, Didi Zhu, Zexi Li, Chao Wu
2021	—	`conf`	Evaluate the Contribution of Multiple Participants in Federated Learning. DEXA (2) Zhaoyang You, Xinya Wu, Kexuan Chen, Xinyi Liu, Chao Wu
2021	J	`jnl`	Federated Graph Learning - A Position Paper. CoRR Huanding Zhang, Tao Shen, Fei Wu, Mingyang Yin, Hongxia Yang, Chao Wu
2021	A*	`conf`	KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation. ICML Haozhe Feng, Zhaoyang You, Minghao Chen, Tianye Zhang, Minfeng Zhu, Fei Wu, Chao Wu, Wei Chen
2021	—	`conf`	Optimizing Federated Learning on Non-IID Data Using Local Shapley Value. CICAI (2) Zuoqi Tang, Feifei Shao, Long Chen, Yunan Ye, Chao Wu, Jun Xiao
2021	J	`jnl`	Unified Group Fairness on Federated Learning. CoRR Fengda Zhang, Kun Kuang, Yuxuan Liu, Chao Wu, Fei Wu, Jiaxun Lu, Yunfeng Shao, Jun Xiao
2021	A*	`conf`	Web-based Platform for K-12 AI Education in China. AAAI Chao Wu, Yan Li, Junxiang Li, Qiongdan Zhang, Fei Wu
2020	—	`conf`	A Low-Cost Method for Designing and Updating a DRGs Classifier Based on Machine Learning. ICMHI Chenhao Fang, Zhenzhou Shao, Chao Wu
2020	J	`jnl`	An Automated Machine-Learning Approach for Road Pothole Detection Using Smartphone Sensor Data. Sensors Chao Wu, Zhen Wang, Simon Hu, Julien Lepine, Xiaoxiang Na, Daniel Ainalis, Marc Stettler
2020	J	`jnl`	Evaluation Framework For Large-scale Federated Learning. CoRR Lifeng Liu, Fengda Zhang, Jun Xiao, Chao Wu
2020	J	`jnl`	Federated Mutual Learning. CoRR Tao Shen, Jie Zhang, Xinkang Jia, Fengda Zhang, Gang Huang, Pan Zhou, Fei Wu, Chao Wu
2020	J	`jnl`	Federated Unsupervised Representation Learning. CoRR Fengda Zhang, Kun Kuang, Zhaoyang You, Tao Shen, Jun Xiao, Yin Zhang, Chao Wu, Yueting Zhuang, Xiaolin Li
2020	J	`jnl`	GFL: A Decentralized Federated Learning Framework Based On Blockchain. CoRR Yifan Hu, Wei Xia, Jun Xiao, Chao Wu
2020	J	`jnl`	KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation. CoRR Haozhe Feng, Zhaoyang You, Minghao Chen, Tianye Zhang, Minfeng Zhu, Fei Wu, Chao Wu, Wei Chen
2020	—	`conf`	Multi-Tenant Machine Learning Platform Based on Kubernetes. ICCAI Chun-Hsiang Lee, Zhaofeng Li, Xu Lu, Tiyun Chen, Saisai Yang, Chao Wu
2020	J	`jnl`	Multi-platform data collection for public service with Pay-by-Data. Multim. Tools Appl. Chao Wu, Simon Hu, Chun-Hsiang Lee, Jun Xiao
2020	J	`jnl`	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. Di Wu, Tao Xiao, Xuewen Liao, Jie Luo, Chao Wu, Shigeng Zhang, Yong Li, Yike Guo
2019	J	`jnl`	An artificial intelligence based data-driven approach for design ideation. J. Vis. Commun. Image Represent. Liuqing Chen, Pan Wang, Hao Dong, Feng Shi, Ji Han, Yike Guo, Peter R. N. Childs, Jun Xiao, Chao Wu
2019	—	`conf`	Distributed Modelling Approaches for Data Privacy Preserving. BigMM Chao Wu, Fengda Zhang, Fei Wu
2019	J	`jnl`	Exploratory Analysis for Big Social Data Using Deep Network. IEEE Access Chao Wu, Guolong Wang, Jiangcheng Zhu, Piyawat Lertvittayakumjorn, Simon Hu, Chilie Tan, Hong Mi, Yadan Xu, Jun Xiao
2019	J	`jnl`	Galaxy Learning - A Position Paper. CoRR Chao Wu, Jun Xiao, Gang Huang, Fei Wu
2019	—	`conf`	Generative Creativity: Adversarial Learning for Bionic Design. ICANN (3) Simiao Yu, Hao Dong, Pan Wang, Chao Wu, Yike Guo
2019	B	`conf`	SIMGAN: Photo-Realistic Semantic Image Manipulation Using Generative Adversarial Networks. ICIP Simiao Yu, Hao Dong, Felix Liang, Yuanhan Mo, Chao Wu, Yike Guo
2019	—	`conf`	Training Encrypted Models with Privacy-preserved Data on Blockchain. ICVISP Lifeng Liu, Yifan Hu, Jiawei Yu, Fengda Zhang, Gang Huang, Jun Xiao, Chao Wu
2018	—	`conf`	Data Quality Transaction on Different Distributed Ledger Technologies. BigSDM Chao Wu, Liyi Zhou, Chulin Xie, Yuhang Zheng, Jiawei Yu
2018	A*	`conf`	Deep Sequence Learning with Auxiliary Information for Traffic Prediction. KDD Binbing Liao, Jingqing Zhang, Chao Wu, Douglas McIlwraith, Tong Chen, Shengwen Yang, Yike Guo, Fei Wu
2018	J	`jnl`	Deep Sequence Learning with Auxiliary Information for Traffic Prediction. CoRR Binbing Liao, Jingqing Zhang, Chao Wu, Douglas McIlwraith, Tong Chen, Shengwen Yang, Yike Guo, Fei Wu
2018	A*	`conf`	Dest-ResNet: A Deep Spatiotemporal Residual Network for Hotspot Traffic Speed Prediction. ACM Multimedia Binbing Liao, Jingqing Zhang, Ming Cai, Siliang Tang, Yifan Gao, Chao Wu, Shengwen Yang, Wenwu Zhu, Yike Guo, Fei Wu
2018	J	`jnl`	Dropping Activation Outputs With Localized First-Layer Deep Network for Enhancing User Privacy and Data Security. IEEE Trans. Inf. Forensics Secur. Hao Dong, Chao Wu, Zhen Wei, Yike Guo
2018	J	`jnl`	Generative Creativity: Adversarial Learning for Bionic Design. CoRR Simiao Yu, Hao Dong, Pan Wang, Chao Wu, Yike Guo
2018	—	`conf`	Text-to-Image Synthesis via Visual-Memory Creative Adversarial Network. PCM (3) Shengyu Zhang, Hao Dong, Wei Hu, Yike Guo, Chao Wu, Di Xie, Fei Wu
2017	J	`jnl`	A Visual Analytics Approach for Station-Based Air Quality Data. Sensors Yi Du, Cuixia Ma, Chao Wu, Xiaowei Xu, Yike Guo, Yuanchun Zhou, Jianhui Li
2017	J	`jnl`	Dropping Activation Outputs with Localized First-layer Deep Network for Enhancing User Privacy and Data Security. CoRR Hao Dong, Chao Wu, Zhen Wei, Yike Guo
2017	—	`conf`	Exploratory Analysis of Big Social Data Using MIC/MINE Statistics. SocInfo (2) Piyawat Lertvittayakumjorn, Chao Wu, Yue Liu, Hong Mi, Yike Guo
2017	A*	`conf`	Semantic Image Synthesis via Adversarial Learning. ICCV Hao Dong, Simiao Yu, Chao Wu, Yike Guo
2017	J	`jnl`	Semantic Image Synthesis via Adversarial Learning. CoRR Hao Dong, Simiao Yu, Chao Wu, Yike Guo
2017	J	`jnl`	Unsupervised Image-to-Image Translation with Generative Adversarial Networks. CoRR Hao Dong, Paarth Neekhara, Chao Wu, Yike Guo
2016	—	`conf`	Generating Computational Taxonomy for Business Models of the Digital Economy. DASFAA Workshops Chao Wu, Yi Cai, Mei Zhao, Songping Huang, Yike Guo
2016	J	`jnl`	Mixed Neural Network Approach for Temporal Sleep Stage Classification. CoRR Hao Dong, Akara Supratak, Wei Pan, Chao Wu, Paul M. Matthews, Yike Guo
2016	—	`ch.`	Survey on Feature Extraction and Applications of Biosignals. Machine Learning for Health Informatics Akara Supratak, Chao Wu, Hao Dong, Kai Sun, Yike Guo
2014	—	`conf`	Balancing the Stability and Predictive Performance for Multivariate Voxel Selection in fMRI Study. Brain Informatics and Health Shulin Yan, Xian Yang, Chao Wu, Zhiyun Zheng, Yike Guo
2014	—	`conf`	Building a cloud-based platform for personal health sensor data management. BHI Yang Li, Li Guo, Chao Wu, Chun-Hsiang Lee, Yike Guo
2014	J	`jnl`	Concinnity: A Generic Platform for Big Sensor Data Applications. IEEE Cloud Comput. Chao Wu, David Birch, Dilshan Silva, Chun-Hsiang Lee, Orestis Tsinalis, Yike Guo
2014	—	`conf`	Integration of sparse Bayesian learning and random subspace for fMRI Multivariate Pattern Analysis. EMBC Shulin Yan, Xian Yang, Chao Wu, Yike Guo
2014	J	`jnl`	Linear Dynamic Sparse Modelling for functional MR imaging. Brain Informatics Shulin Yan, Lei Nie, Chao Wu, Yike Guo
2013	—	`conf`	An Approximation Approach to Measurement Design in the Reconstruction of Functional MRI Sequences. Brain and Health Informatics Shulin Yan, Lei Nie, Chao Wu, Yike Guo
2013	—	`conf`	Building a generic platform for big sensor data application. IEEE BigData Chun-Hsiang Lee, David Birch, Chao Wu, Dilshan Silva, Orestis Tsinalis, Yang Li, Shulin Yan, Moustafa Ghanem, Yike Guo
2013	J	`jnl`	Elastic Information Management for Air Pollution Monitoring in Large-Scale M2M Sensor Networks. Int. J. Distributed Sens. Networks Yajie Ma, Yike Guo, Dilshan Silva, Orestis Tsinalis, Chao Wu
2013	—	`conf`	Enhanced user data privacy with pay-by-data model. IEEE BigData Chao Wu, Yike Guo
2013	C	`conf`	Sensor Deployment in Bayesian Compressive Sensing Based Environmental Monitoring. MobiQuitous Chao Wu, Di Wu, Shulin Yan, Yike Guo
2012	C	`conf`	A New Paradigm for Web App Development, Deployment, Distribution, and Collaboration. ICSOFT Chao Wu, Yike Guo
2012	—	`conf`	An EEG-Based Brain Informatics Application for Enhancing Music Experience. Brain Informatics Yike Guo, Chao Wu, Diego Peteiro-Barral
2012	B	`conf`	Elastic Application Container: A Lightweight Approach for Cloud Resource Provisioning. AINA Sijin He, Li Guo, Yike Guo, Chao Wu, Moustafa Ghanem, Rui Han
2012	J	`jnl`	Social networking federation: A position paper. Comput. Electr. Eng. Chao Wu, Yike Guo, Bo Zhou
2011	—	`conf`	Detecting insecure person in crowd with human sensor. ANT/MobiWIS Chao Wu, Yike Guo