Yingchi Mao - RankMe

149 papers A 1B 12C 4Misc 1Journal 77Unranked 54

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Survey on Spatio-Temporal Prediction: From Transformers to Foundation Models. ACM Comput. Surv. Yingchi Mao, Hongliang Zhou, Ling Chen, Rongzhi Qi, Zhende Sun, Yi Rong, Xiaoming He, Mingkai Chen, Shahid Mumtaz, Valerio Frascolla, Mohsen Guizani, Joel J. P. C. Rodrigues
2026	J	`jnl`	Blockchain-Enabled federated learning framework with cantor filtering and reed-Solomon coding for secure healthcare IoT systems. Comput. Networks Tasiu Muazu, Yingchi Mao
2026	J	`jnl`	CSJSS: Augmenting code summarization with joint structural semantic of abstract syntax trees. Inf. Softw. Technol. Rongzhi Qi, Jun Yang, Shuiyan Li, Yingchi Mao
2026	J	`jnl`	Efficient LLM Deployment in Consumer Electronics Applications via Resource-Aware and Salience-Guided Quantization. IEEE Trans. Consumer Electron. Tianfu Pang, Yingchi Mao, Zhenxiang Pan, Rongzhi Qi, Benteng Zhang, Xiaoming He, Jie Wu
2025	J	`jnl`	A novel bifold-attention-LSTM for analyzing PM2.5 concentration-based multi-station data time series. Int. J. Data Sci. Anal. Andri Pranolo, Xiaofeng Zhou, Yingchi Mao
2025	—	`conf`	Adaptive Federated Learning for Large Models with Scarce and Non-IID Data in Cloud-Edge Networks. INFOCOM WKSHPS Benteng Zhang, Yingchi Mao, Peng Zhang, Haotian Zheng, Xiaoming He, Jiawen Kang, Jie Wu
2025	J	`jnl`	Adaptive Knowledge Transfer for Federated Learning With Large Models on Edge IoT Devices. IEEE Internet Things J. Benteng Zhang, Yingchi Mao, Haotian Zheng, Xiang Li, Jianxin Huang, Xiaoming He, Jie Wu
2025	J	`jnl`	Adaptive layer-wise personalized federated learning via dual delay update in future communication networks. Comput. Commun. Haowen Xu, Yingchi Mao, Si Chen, Yi Rong, Tasiu Muazu, Xiaoming He
2025	J	`jnl`	Balancing Privacy and Accuracy Using Significant Gradient Protection in Federated Learning. IEEE Trans. Computers Benteng Zhang, Yingchi Mao, Xiaoming He, Huawei Huang, Jie Wu
2025	J	`jnl`	Blockchain federated learning with sparsity for IoMT devices. Clust. Comput. Abdoul Fatakhou Ba, Yingchi Mao, Abdullahi Uwaisu Muhammad, Omaji Samuel, Tasiu Muazu, Umar Muhammad Mustapha Kumshe
2025	J	`jnl`	Edge Computing Enabled Large-Scale Traffic Flow Prediction With GPT in Intelligent Autonomous Transport System for 6G Network. IEEE Trans. Intell. Transp. Syst. Yi Rong, Yingchi Mao, Huajun Cui, Xiaoming He, Mingkai Chen
2025	B	`conf`	Efficient Zero-Cost Neural Architecture Search for Personalized AI Systems in Cloud-Edge Networks. MASS Kai Huang, Yingchi Mao, Benteng Zhang, Yihan Chen, Yuchu Chen, Jie Wu
2025	B	`conf`	Energy-Efficient Federated Learning via Dynamic Distillation and Cloud-Network Collaboration. ICNP Yihan Chen, Haowen Xu, Yi Dong, Benteng Zhang, Xiaoming He, Miao Du, Yingchi Mao
2025	—	`conf`	Energy-Efficient Personalized Federated Learning for Establishing Green Iot. ICC Haowen Xu, Yingchi Mao, Haotian Zheng, Xiaoming He, Yi Rong, Mingkai Chen, Saba Al-Rubaye
2025	J	`jnl`	Exploring the Privacy-Accuracy Trade-Off Using Adaptive Gradient Clipping in Federated Learning. IEEE Trans. Netw. Sci. Eng. Benteng Zhang, Yingchi Mao, Xiaoming He, Ping Ping, Huawei Huang, Jie Wu
2025	—	`conf`	FEMINet: Real-Time RGB-D Semantic Segmentation via Feature Enhancement and Multi-level Interaction. PRCV (2) Luyao Jia, Yingchi Mao, Ji Lu, Zhenxiang Pan, Bingbing Nie, Zicheng Wang
2025	B	`conf`	HFHEMS: Energy-Efficient Hierarchical Federated Learning via Model Distillation. IWQoS Yihan Chen, Yingchi Mao, Benteng Zhang, Qinxiao Deng, Xiang Li, Xiaoming He
2025	J	`jnl`	ICST-DNET: An Interpretable Causal Spatio-Temporal Diffusion Network for Traffic Speed Prediction. IEEE Trans. Intell. Transp. Syst. Yi Rong, Yingchi Mao, Yinqiu Liu, Ling Chen, Xiaoming He, Guojian Zou, Shahid Mumtaz, Dusit Niyato
2025	B	`conf`	LLM-Driven Cloud-Edge Collaboration for Resilient Multi-UAV Task Planning. ICPADS Xuan Ling, Yingchi Mao, Yu Tang, Benteng Zhang, Yi Rong, Xiaoming He
2025	J	`jnl`	Large-Scale Traffic Flow Forecast with Lightweight LLM in Edge Intelligence. IEEE Internet Things Mag. Yi Rong, Yingchi Mao, Xiaoming He, Mingkai Chen
2025	—	`conf`	Learnable Cloud-Guided LLM Quantization for Resource-Constrained Edge Devices. NPC (1) Qinxiao Deng, Tianfu Pang, Benteng Zhang, Bingbing Nie, Xiaoming He, Yingchi Mao, Jie Wu
2025	J	`jnl`	Overcoming Forgetting Using Adaptive Federated Learning for IIoT Devices With Non-IID Data. IEEE Internet Things J. Benteng Zhang, Yingchi Mao, Haowen Xu, Yihan Chen, Tasiu Muazu, Xiaoming He, Jie Wu
2025	J	`jnl`	Physics-informed epidemic prediction for irregularly sampled spatio-temporal sequence with missing values. Appl. Intell. Haodong Cheng, Yingchi Mao
2025	J	`jnl`	QFMLNet: An AI-Driven Quantum Communication Architecture for 6G Space-Ground Networks. IEEE Commun. Mag. Xufei Ding, Yingchi Mao, Jianan Huang, Shuhua Huang, Zicheng Wang, Jie Wu
2025	J	`jnl`	STLLM-GAN: Spatio-temporal LLM Generative Adversarial Network for PM2.5 prediction. Expert Syst. Appl. Changkui Yin, Yingchi Mao, Liren Deng, Meng Chen, Yi Rong, Xiaoming He, Xiaofeng Zhou
2025	J	`jnl`	TKSTAGNet: A Top-K Spatio-Temporal Attention Gating Network for air pollution prediction. Expert Syst. Appl. Hongliang Zhou, Yingchi Mao, Xiang Li, Yi Rong, Ling Chen, Changkui Yin
2025	—	`conf`	Temperature-Aware Adaptive Federated Distillation for Energy-Constrained AIoT with Non-IID Data. VTC2025-Spring Yingchi Mao, Jiakai Zhang, Litao Qu, Zicheng Wang, Benteng Zhang, Xiaoming He
2025	J	`jnl`	Time Series Forecasting with LSTM: an extensive content analysis. Knowl. Eng. Data Sci. Andri Pranolo, Xiaofeng Zhou, Yingchi Mao
2025	J	`jnl`	Traffic Prediction Using Lightweight Large Model in AAV-Assisted Mobile Computing for Time-Critical Consumer Electronics. IEEE Trans. Consumer Electron. Yunzhe Jiang, Yinqiu Liu, Huajun Cui, Jinghuan Liu, Yingchi Mao, Xiaoming He
2025	J	`jnl`	Transforming 6G Mobile Edge Intelligence With Large Models. IEEE Netw. Xiaoming He, Yunzhe Jiang, Yinqiu Liu, Huajun Cui, Heng Pan, Yingchi Mao
2024	J	`jnl`	A Real-Time Emotion-Aware System Based on Wireless Body Area Network for IoMT Applications. IEEE Internet Things J. Chang Li, Yingchi Mao, Qian Huang, Weiliang Xie, Xiaoming He, Jie Wu
2024	J	`jnl`	A federated learning system with data fusion for healthcare using multi-party computation and additive secret sharing. Comput. Commun. Tasiu Muazu, Yingchi Mao, Abdullahi Uwaisu Muhammad, Muhammad Ibrahim, Umar Muhammad Mustapha Kumshe, Omaji Samuel
2024	J	`jnl`	A framework based on physics-informed graph neural ODE: for continuous spatial-temporal pandemic prediction. Appl. Intell. Haodong Cheng, Yingchi Mao, Xiao Jia
2024	—	`conf`	An Energy-Aware UAVs Path Coverage for Critical Infrastructure Inspections. CBD Yifan Wang, Wei Zeng, Guanyu Li, Chenglong Xiong, Zicheng Wang, Yingchi Mao
2024	J	`jnl`	Channel assignment and power allocation for throughput improvement with PPO in B5G heterogeneous edge networks. Digit. Commun. Networks Xiaoming He, Yingchi Mao, Yinqiu Liu, Ping Ping, Yan Hong, Han Hu
2024	J	`jnl`	Cross-modal knowledge learning with scene text for fine-grained image classification. IET Image Process. Li Xiong, Yingchi Mao, Zicheng Wang, Bingbing Nie, Chang Li
2024	B	`conf`	Dual Adaptive Compression for Efficient Communication in Heterogeneous Federated Learning. CCGrid Yingchi Mao, Zibo Wang, Chenxin Li, Jiakai Zhang, Shufang Xu, Jie Wu
2024	—	`conf`	EchoGCN: An Echo Graph Convolutional Network for Skeleton-Based Action Recognition. ICPR (15) Weiwen Qian, Qian Huang, Chang Li, Zhongqi Chen, Yingchi Mao
2024	B	`conf`	Edge-Cloud Enabled Smart Sensing Applications with Personalized Federated Learning in IoT. GLOBECOM Yingchi Mao, Yi Rong, Jiajun Wang, Zibo Wang, Xiaoming He, Jie Wu
2024	J	`jnl`	Exploring LSTM-based Attention Mechanisms with PSO and Grid Search under Different Normalization Techniques for Energy demands Time Series Forecasting. Knowl. Eng. Data Sci. Andri Pranolo, Xiaofeng Zhou, Yingchi Mao, Bambang Widi Pratolo, Aji Prasetya Wibawa, Agung Bella Putra Utama, Abdoul Fatakhou Ba, Abdullahi Uwaisu Muhammad
2024	—	`conf`	Fast Adaptive Momentum Federated Learning. CSAI Abdoul Fatakhou Ba, Yingchi Mao, Hamza Djigal, Abdullahi Uwaisu Muhammad, Evans Baidoo
2024	J	`jnl`	Federated Dynamic Client Selection for Fairness Guarantee in Heterogeneous Edge Computing. J. Comput. Sci. Technol. Yingchi Mao, Lijuan Shen, Jun Wu, Ping Ping, Jie Wu
2024	J	`jnl`	Few-shot learning based on hierarchical feature fusion via relation networks. Int. J. Approx. Reason. Xiao Jia, Yingchi Mao, Zhenxiang Pan, Zicheng Wang, Ping Ping
2024	J	`jnl`	Green Computation Offloading With DRL in Multi-Access Edge Computing. Trans. Emerg. Telecommun. Technol. Changkui Yin, Yingchi Mao, Meng Chen, Yi Rong, Yinqiu Liu, Xiaoming He
2024	J	`jnl`	Hiding Multiple Images into a Single Image Using Up-Sampling. IEEE Trans. Multim. Ping Ping, Bobiao Guo, Olano Teah Bloh, Yingchi Mao, Feng Xu
2024	J	`jnl`	Hierarchical few-shot learning based on top-down correction mechanism with stop strategy. Int. J. Mach. Learn. Cybern. Xiao Jia, Yingchi Mao, Hao Chen, Ping Ping, Rongzhi Qi
2024	J	`jnl`	ICST-DNET: An Interpretable Causal Spatio-Temporal Diffusion Network for Traffic Speed Prediction. CoRR Yi Rong, Yingchi Mao, Yinqiu Liu, Ling Chen, Xiaoming He, Dusit Niyato
2024	J	`jnl`	Image hiding using invertible neural network and similarity of bits pairs. Appl. Soft Comput. Ping Ping, Qianwen Li, Bobiao Guo, Feng Xu, Festus Sibanda, Yingchi Mao
2024	J	`jnl`	IoMT: A Medical Resource Management System Using Edge Empowered Blockchain Federated Learning. IEEE Trans. Netw. Serv. Manag. Tasiu Muazu, Yingchi Mao, Abdullahi Uwaisu Muhammad, Muhammad Ibrahim, Omaji Samuel, Prayag Tiwari
2024	B	`conf`	KRLGI: Knowledge Representation Learning Based on Global Information for Reasoning. ICTAI Bo Wu, Yingchi Mao, Fudong Chi, Yingjie Liu, Silong Ding, Rongzhi Qi
2024	B	`conf`	LRIRL: Improving Knowledge Graph Reasoning through Representation Learning-Based Rule Induction. ICTAI Yingjie Liu, Yingchi Mao, Fudong Chi, Bo Wu, Silong Ding, Rongzhi Qi
2024	—	`conf`	Label Prompt Guiding for Two-Stage Few-Shot Named Entity Recognition. ICIC (12) Rongzhi Qi, Jiazheng Lou, Yingchi Mao
2024	J	`jnl`	MFAE: Multimodal Fusion and Alignment for Entity-level Disinformation Detection. Pattern Recognit. Lett. Zhenxiang Pan, Yingchi Mao, Li Xiong, Tianfu Pang, Ping Ping
2024	—	`conf`	Multi-Server Cooperative Video Caching Strategy Based on Deep Reinforcement Learning in Cloud-Edge Computing. BigCom Guanyu Li, Yingchi Mao, Xinxin Peng, Haotian Zheng, Zibo Wang
2024	J	`jnl`	Multi-granular spatial-temporal synchronous graph convolutional network for robust action recognition. Expert Syst. Appl. Chang Li, Qian Huang, Yingchi Mao, Xing Li, Jie Wu
2024	—	`conf`	ProLoRA: Resource-Efficient Personalized Federated Learning for Sensor Based Human Activity Recognition. MSN Abdoul Fatakhou Ba, Yingchi Mao, Hamza Djigal, Abdullahi Uwaisu Muhammad
2024	J	`jnl`	Scale-Aware Graph Convolutional Network With Part-Level Refinement for Skeleton-Based Human Action Recognition. IEEE Trans. Circuits Syst. Video Technol. Chang Li, Yingchi Mao, Qian Huang, Xiaowei Zhu, Jie Wu
2023	A	`conf`	DD-GCN: Directed Diffusion Graph Convolutional Network for Skeleton-based Human Action Recognition. ICME Chang Li, Qian Huang, Yingchi Mao
2023	J	`jnl`	DD-GCN: Directed Diffusion Graph Convolutional Network for Skeleton-based Human Action Recognition. CoRR Chang Li, Qian Huang, Yingchi Mao
2023	J	`jnl`	Dense video captioning based on local attention. IET Image Process. Yong Qian, Yingchi Mao, Zhihao Chen, Chang Li, Olano Teah Bloh, Qian Huang
2023	—	`conf`	Differential Privacy in Federated Dynamic Gradient Clipping Based on Gradient Norm. ICA3PP (4) Yingchi Mao, Chenxin Li, Zibo Wang, Zijian Tu, Ping Ping
2023	B	`conf`	ECIFF: Event Causality Identification based on Feature Fusion. ICTAI Silong Ding, Yingchi Mao, Yong Cheng, Tianfu Pang, Lijuan Shen, Rongzhi Qi
2023	J	`jnl`	FRDet: Few-shot object detection via feature reconstruction. IET Image Process. Zhihao Chen, Yingchi Mao, Yong Qian, Zhenxiang Pan, Shufang Xu
2023	—	`conf`	Green Resource Allocation with DDPG for Knowledge Learning in Digital Twin-enabled Edges. VTC Fall Xiaoming He, Yingchi Mao, Yinqiu Liu, Benteng Zhang, Yunzhe Jiang, Yan Hong
2023	J	`jnl`	MTS-GAT: multivariate time series anomaly detection based on graph attention networks. Int. J. Sens. Networks Ling Chen, Yingchi Mao, Hongliang Zhou, Benteng Zhang, Zicheng Wang, Jie Wu
2023	J	`jnl`	Optimized Three Deep Learning Models Based-PSO Hyperparameters for Beijing PM2.5 Prediction. CoRR Andri Pranolo, Yingchi Mao, Aji Prasetya Wibawa, Agung Bella Putra Utama, Felix Andika Dwiyanto
2023	—	`conf`	Optimizing Privacy-Accuracy Trade-off in DP-FL via Significant Gradient Perturbation. MSN Benteng Zhang, Yingchi Mao, Zijian Tu, Xiaoming He, Ping Ping, Jie Wu
2023	B	`conf`	Script Event Prediction Based on Causal Generalization Learning. ICTAI Tianfu Pang, Yingchi Mao, Silong Ding, Biao Wang, Rongzhi Qi
2023	J	`jnl`	Two-phase privacy-preserving scheme for federated learning in edge networks. Int. J. Sens. Networks Hongle Guo, Yingchi Mao, Xiaoming He, Jie Wu
2023	—	`conf`	Two-way Delayed Updates with Model Similarity in Communication-Efficient Federated Learning. MSN Yingchi Mao, Zibo Wang, Jun Wu, Lijuan Shen, Shufang Xu, Jie Wu
2022	—	`conf`	A Federated Learning Backdoor Attack Defense. BigDataService Jin Yan, Yingchi Mao, Hua Nie, Zijian Tu, Jianxin Huang
2022	B	`conf`	Accelerating Federated Learning with Two-phase Gradient Adjustment. ICPADS Jiajun Wang, Yingchi Mao, Xiaoming He, Tong Zhou, Jun Wu, Jie Wu
2022	J	`jnl`	Adaptive sparse ternary gradient compression for distributed DNN training in edge computing. CCF Trans. High Perform. Comput. Yingchi Mao, Jun Wu, Xuesong Xu, Longbao Wang
2022	—	`conf`	Communication Optimization in Heterogeneous Edge Networks Using Dynamic Grouping and Gradient Coding. WASA (3) Yingchi Mao, Jun Wu, Xiaoming He, Ping Ping, Jianxin Huang
2022	—	`conf`	DNN Training Optimization with Pipelined Parallel Based on Feature Maps Encoding. CBD Lijuan Shen, Yingchi Mao, Zibo Wang, Hua Nie, Jianxin Huang
2022	J	`jnl`	Generating visually secure encrypted images by partial block pairing-substitution and semi-tensor product compressed sensing. Digit. Signal Process. Ping Ping, Xiaohui Yang, Xiaojuan Zhang, Yingchi Mao, Hakizimana Khalid
2022	J	`jnl`	Joint Dynamic Grouping and Gradient Coding for Time-Critical Distributed Machine Learning in Heterogeneous Edge Networks. IEEE Internet Things J. Yingchi Mao, Jun Wu, Xiaoming He, Ping Ping, Jiajun Wang, Jie Wu
2022	—	`conf`	Modal Retrieval. BigDataService Huimin Yu, Jinlin Suo, Yingchi Mao, Jiahong Sui, Yong Qian
2022	J	`jnl`	Optimized Three Deep Learning Models Based-PSO Hyperparameters for Beijing PM2.5 Prediction. Knowl. Eng. Data Sci. Andri Pranolo, Yingchi Mao, Aji Prasetya Wibawa, Agung Bella Putra Utama, Felix Andika Dwiyanto
2022	—	`conf`	Request-Aware Task Offloading in Mobile Edge Computing via Deep Reinforcement Learning. CBD Ziwen Sheng, Yingchi Mao, Jiajun Wang, Hua Nie, Jianxin Huang
2022	J	`jnl`	Robust LSTM With Tuned-PSO and Bifold-Attention Mechanism for Analyzing Multivariate Time-Series. IEEE Access Andri Pranolo, Yingchi Mao, Aji Prasetya Wibawa, Agung Bella Putra Utama, Felix Andika Dwiyanto
2022	—	`conf`	Scale Attention Mechanism. BigDataService Zheyuan Wang, Yingchi Mao, Shuai Zhang, Yong Qian, Zeyu Zhang, Zhihao Chen
2021	—	`conf`	A Blockchain-based Grouped Federated Learning Scheme Against Malicious Clients. GLOBECOM (Workshops) Hongle Guo, Yingchi Mao, Xiaoming He, Hua Nie
2021	—	`conf`	ASTC: An Adaptive Gradient Compression Scheme for Communication-Efficient Edge Computing. HPCC/DSS/SmartCity/DependSys Jun Wu, Yingchi Mao, Xuesong Xu
2021	—	`conf`	Approximate Matching Based Cache Selection Strategy in Mobile Edge Computing. CBD Ruixiang Li, Yingchi Mao, Tao Wu, Jun Wu
2021	—	`conf`	DWUPP: Dynamic Weight Update through Pipelined Parallel for Distributed Training Model. CBD Yingchi Mao, Zijian Tu, Hua Nie, Ping Ping, Jianxin Huang, Jun Wu
2021	J	`jnl`	Deep Learning-Based Diagnosing Structural Behavior in Dam Safety Monitoring System. Sensors Longbao Wang, Yingchi Mao, Yangkun Cheng, Yi Liu
2021	—	`conf`	Keywords-Based Dam Defect Image Caption Generation. BigDataService Cheng Yong, Yingchi Mao, Wang Yi, Ping Ping, Longbao Wang
2021	J	`jnl`	Parallel Approach of Adaptive Image Thresholding Algorithm on GPU. Knowl. Eng. Data Sci. Adhi Prahara, Andri Pranolo, Nuril Anwar, Yingchi Mao
2021	J	`jnl`	QoE-Based Task Offloading With Deep Reinforcement Learning in Edge-Enabled Internet of Vehicles. IEEE Trans. Intell. Transp. Syst. Xiaoming He, Haodong Lu, Miao Du, Yingchi Mao, Kun Wang
2020	—	`conf`	A Dam Deformation Prediction Model Based on ARIMA-LSTM. BigDataService Guoyan Xu, Zixu Jing, Yingchi Mao, Xinyue Su
2020	—	`conf`	Crack Detection with Multi-task Enhanced Faster R-CNN Model. BigDataService Yingchi Mao, Jing Chen, Ping Ping, Hao Chen
2020	—	`conf`	Crack Detection with Multi-task Enhanced Faster R-CNN Model. BigDataService Yingchi Mao, Ping Ping, Jing Chen, Hao Chen
2020	—	`conf`	Parallel Image Encryption Technology Based on Cellular Automaton. BigDataService Ping Ping, Xiaojuan Zhang, Xiaohui Yang, Yingchi Mao, Zeyu Gao
2020	—	`conf`	Priority Combinatorial Double Auction Based Resource Allocation in the Cloud. BigDataService Yingchi Mao, Xuesong Xu, Longbao Wang, Ping Ping
2020	J	`jnl`	QoE-Based Cooperative Task Offloading with Deep Reinforcement Learning in Mobile Edge Networks. IEEE Wirel. Commun. Xiaoming He, Haodong Lu, Huawei Huang, Yingchi Mao, Kun Wang, Song Guo
2020	B	`conf`	QoE-driven Task Offloading with Deep Reinforcement Learning in Edge intelligent IoV. GLOBECOM Xiaoming He, Haodong Lu, Yingchi Mao, Kun Wang
2020	J	`jnl`	Spatial-Temporal Features Based Sensor Network Partition in Dam Safety Monitoring System. Sensors Hao Chen, Yingchi Mao, Longbao Wang, Hai Qi
2019	—	`conf`	A Fusion Rule Based on Connectivity in Wireless Sensor Networks. ICCAIS Shufang Xu, Yingchi Mao, Xuejie Zhang, Longbao Wang, Xudong You
2019	—	`conf`	A Meaningful Visually Secure Image Encryption Scheme. BigDataService Jie Fu, Ping Ping, Jerry Zeyu Gao, Yingchi Mao
2019	—	`conf`	Computation Tasks Offloading Scheme Based on Multi-cloudlet Collaboration for Edge Computing. CBD Qingyong Wang, Yingchi Mao, Yichao Wang, Longbao Wang
2019	J	`jnl`	DNN-MVL: DNN-Multi-View-Learning-Based Recover Block Missing Data in a Dam Safety Monitoring System. Sensors Yingchi Mao, Jianhua Zhang, Hai Qi, Longbao Wang
2019	—	`conf`	Event Fusion and Decision Approach Based on Node Reliability in Dam Safety Monitoring. BigDataService Yingchi Mao, Jian Gao, Hai Qi, Longbao Wang
2019	J	`jnl`	Meaningful Encryption: Generating Visually Meaningful Encrypted Images by Compressive Sensing and Reversible Color Transformation. IEEE Access Ping Ping, Jie Fu, Yingchi Mao, Feng Xu, Jerry Gao
2019	—	`conf`	Mobile Edge Computing-Enabled Resource Allocation for Ultra-Reliable and Low-Latency Communications. MLICOM Yun Yu, Siyuan Zhou, Xiaocan Lian, Guoping Tan, Yingchi Mao
2019	J	`jnl`	Neural Network Classification of Brainwave Alpha Signals in Cognitive Activities. Knowl. Eng. Data Sci. Ahmad Azhari, Adhi Susanto, Andri Pranolo, Yingchi Mao
2019	J	`jnl`	基于特征组合与CNN的大坝缺陷识别与分类方法 (Dam Defect Recognition and Classification Based on Feature Combination and CNN). 计算机科学 Yingchi Mao, Jing Wang, Xiaoli Chen, Shufang Xu, Hao Chen
2019	J	`jnl`	面向大坝变形监测的时空一体化预测算法 (Spatio-Temporal Integrated Forecasting Algorithm for Dam Deformation). 计算机科学 Yingchi Mao, Hai Cao, Jinfeng He
2018	J	`jnl`	A Chaos Based Image Encryption Scheme Using Digit-Level Permutation and Block Diffusion. IEEE Access Ping Ping, Jinyang Fan, Yingchi Mao, Feng Xu, Jerry Gao
2018	—	`conf`	A General Fusion System and Maximal-Ratio Combining Fusion Rule in Unmanned Air Vehicle Network. DSP Shufang Xu, Dazhuan Xu, Huibin Wang, Yingchi Mao, Xuejie Zhang, Longbao Wang
2018	J	`jnl`	Design of image cipher using life-like cellular automata and chaotic map. Signal Process. Ping Ping, Jinjie Wu, Yingchi Mao, Feng Xu, Jinyang Fan
2018	J	`jnl`	Designing permutation-substitution image encryption networks with Henon map. Neurocomputing Ping Ping, Feng Xu, Yingchi Mao, Zhijian Wang
2018	J	`jnl`	不确定性车辆路口的轨迹预测 (Uncertain Vehicle Intersection Trajectory Prediction). 计算机科学 Yingchi Mao, Yang Chen
2017	J	`jnl`	A Cooperative Dynamic Cluster in Multitasking Mobile Networks. Intell. Autom. Soft Comput. Shufang Xu, Dazhuan Xu, Yingchi Mao, Huibin Wang
2017	J	`jnl`	A Segment-Based Trajectory Similarity Measure in the Urban Transportation Systems. Sensors Yingchi Mao, Haishi Zhong, Xianjian Xiao, Xiaofang Li
2017	J	`jnl`	An Adaptive Trajectory Clustering Method Based on Grid and Density in Mobile Pattern Analysis. Sensors Yingchi Mao, Haishi Zhong, Hai Qi, Ping Ping, Xiaofang Li
2017	J	`jnl`	Contamination Event Detection with Multivariate Time-Series Data in Agricultural Water Monitoring. Sensors Yingchi Mao, Hai Qi, Ping Ping, Xiaofang Li
2017	—	`conf`	Event Detection with Multivariate Water Parameters in the Water Monitoring Applications. CSCloud Yingchi Mao, Hai Qi, Xiaoli Chen, Xiaofang Li
2017	Misc	`conf`	Graph Partition Approach Based on the Cauchy Mutation and Inertia Weight. WISA Yichao Wang, Yingchi Mao, Ziyang Xu, Ping Ping
2017	J	`jnl`	PROXZONE: One Cloud Computing System for Support PaaS in Energy Power Applications. Intell. Autom. Soft Comput. Yanhong Sun, Xiaofang Li, Yingchi Mao, Weihua Fang
2017	—	`conf`	Spatial-Temporal Event Detection Method with Multivariate Water Quality Data. ICPCSEE (1) Yingchi Mao, Zhitao Li, Xiaoli Chen, Longbao Wang
2017	J	`jnl`	Two-phase PT-Topk Query Processing Algorithm for Uncertain IOT Data in Dam Safety Monitoring. Intell. Autom. Soft Comput. Yingchi Mao, Haishi Zhong, Hao Chen, Xiaofang Li
2017	J	`jnl`	基于卡尔曼滤波参数自学习的大坝变形预测 (Parameter Self-learning Method Based on Kalman Filter for Dam Deformation Prediction). 计算机科学 Pengfei Zhan, Xin Lv, Yingchi Mao, Shufang Xu, Longbao Wang, Hongxu Ma
2016	—	`conf`	FiGMR: A fine-grained MapReduce scheduler in the heterogeneous cloud. ICIA Yingchi Mao, Hai Qi, Ping Ping, Xiaofang Li
2016	J	`jnl`	Investigations of Life-like Cellular Automata for Image Scrambling. Control. Intell. Syst. Ping Ping, Feng Xu, Xin Lv, Yingchi Mao, Rongzhi Qi
2016	—	`conf`	Real-Time Event Detection with Water Sensor Networks Using a Spatio-Temporal Model. DASFAA Workshops Yingchi Mao, Xiaoli Chen, Zhuoming Xu
2015	—	`conf`	An Optimal Distributed K-Means Clustering Algorithm Based on CloudStack. FCST Yingchi Mao, Ziyang Xu, Ping Ping, Longbao Wang
2015	—	`conf`	An image scrambling algorithm using discrete Henon map. ICIA Ping Ping, Yingchi Mao, Xin Lv, Feng Xu, Guoyan Xu
2015	—	`conf`	An optimal distributed K-Means clustering algorithm based on cloudstack. ICIA Yingchi Mao, Ziyang Xu, Xiaofang Li, Ping Ping
2015	—	`conf`	Delay-Aware Associate Tasks Scheduling in the Cloud Computing. BDCloud Yingchi Mao, Ziyang Xu, Ping Ping, Longbao Wang
2015	—	`conf`	Hierarchical model-based associate tasks scheduling with the deadline constraints in the cloud. ICIA Yingchi Mao, Haishi Zhong, Xiaofang Li
2015	—	`conf`	Image Scrambling Scheme Based on Bit-Level Permutation and 2-D Cellular Automata. IIH-MSP Ping Ping, Feng Xu, Md Shaiful Islam Babu, Xin Lv, Yingchi Mao
2015	—	`conf`	Online event detection based on the spatio-temporal analysis in the river sensor networks. ICIA Yingchi Mao, Qing Jie, Bicong Jia, Ping Ping, Xiaofang Li
2015	—	`conf`	Real-Time data ETL framework for big real-time data analysis. ICIA Xiaofang Li, Yingchi Mao
2015	J	`jnl`	基于动态镜像的实时数据仓库存取预处理技术研究 (Real-time Data Warehouse Pre-processing Based on Dynamic Mirror Replication). 计算机科学 Yingchi Mao, Wei Min, Qing Jie, Lili Zhu
2015	J	`jnl`	基于链路质量的层次型路由协议研究 (Hierarchical Routing Protocol Based on Link Quality in Wireless Sensor Network). 计算机科学 Yingchi Mao, Jiulong Wang, Kang Wang, Daoning Ren
2014	J	`jnl`	GFG-Assisted Human Tracking Using Smart Phones. Ad Hoc Sens. Wirel. Networks Yingchi Mao, Jie Wu
2013	C	`conf`	Adaptive Load Balancing Algorithm Based on Prediction Model in Cloud Computing. ICCC Yingchi Mao, Daoning Ren, Xi Chen
2012	J	`jnl`	Delay-Bounded Data Forwarding in Low-Duty-Cycle Sensor Networks. Intell. Autom. Soft Comput. Yingchi Mao, Ambassa Joel Yves, Feng Xu
2012	—	`conf`	Delay-bounded utility-based event detection in energy harvesting sensor networks. CCSEIT Yingchi Mao
2011	J	`jnl`	An Effective Data Gathering Scheme in Heterogeneous Energy Wireless Sensor Networks. Intell. Autom. Soft Comput. Yingchi Mao, Xiaofang Li, Simon X. Yang
2011	—	`conf`	Greedy-Face-Greedy Routing based Human Tracking in Mobile Social Networks. ANT/MobiWIS Yingchi Mao
2010	J	`jnl`	Energy-Efficient Area Coverage in Heterogeneous Energy Wireless Sensor Networks. Wirel. Sens. Netw. Yingchi Mao, Xiaofang Li, Feng Xu
2009	—	`conf`	An Effective Data Gathering Scheme in Heterogeneous Energy Wireless Sensor Networks. CSE (1) Yingchi Mao, Zhen Liu, Lili Zhang, Xiaofang Li
2008	C	`conf`	A survey on topology control in wireless sensor networks. ICARCV Xiaofang Li, Yingchi Mao, Yi Liang
2008	—	`conf`	Extended Directional Graph Based Description Approach on Web Service Composition Relationship. CSSE (2) Xiaofeng Zhou, Yingchi Mao
2007	C	`conf`	A Location-Unaware Connected Coverage Protocol in Wireless Sensor Networks. UIC Yingchi Mao, Lijun Chen, Daoxu Chen
2007	—	`conf`	An Energy Efficient Connected Coverage Protocol in Wireless Sensor Networks. APWeb/WAIM Yingchi Mao, Zhuoming Xu, Yi Liang
2005	C	`conf`	Constructing the Robust and Efficient Small World Overlay Network for P2P Systems. ISPA Guofu Feng, Yingchi Mao, Daoxu Chen