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2020 – today
- 2024
- [j68]Longbo Zhao, Haitao Yuan, Kangyuan Xu, Jing Bi, Bo Hu Li:
Hybrid network attack prediction with Savitzky-Golay filter-assisted informer. Expert Syst. Appl. 235: 121126 (2024) - [j67]Jing Bi, Zexian Chen, Haitao Yuan, Jia Zhang:
Accurate water quality prediction with attention-based bidirectional LSTM and encoder-decoder. Expert Syst. Appl. 238(Part C): 121807 (2024) - [j66]Jing Bi, Ziyue Guan, Haitao Yuan, Jia Zhang:
Improved network intrusion classification with attention-assisted bidirectional LSTM and optimized sparse contractive autoencoders. Expert Syst. Appl. 244: 122966 (2024) - [j65]Haitao Yuan, Jing Bi, Ziqi Wang, Jinhong Yang, Jia Zhang:
Partial and cost-minimized computation offloading in hybrid edge and cloud systems. Expert Syst. Appl. 250: 123896 (2024) - [j64]Jing Bi, Kangyuan Xu, Haitao Yuan, Jia Zhang, MengChu Zhou:
Network Attack Prediction With Hybrid Temporal Convolutional Network and Bidirectional GRU. IEEE Internet Things J. 11(7): 12619-12630 (2024) - [j63]Haitao Yuan, Qinglong Hu, Jing Bi, Guanghong Gong, Jia Zhang, MengChu Zhou:
Machine-Level Collaborative Manufacturing and Scheduling for Heterogeneous Plants. IEEE Internet Things J. 11(9): 16591-16603 (2024) - [j62]Jing Bi, Ziqi Wang, Haitao Yuan, Jia Zhang, MengChu Zhou:
Cost-Minimized Computation Offloading and User Association in Hybrid Cloud and Edge Computing. IEEE Internet Things J. 11(9): 16672-16683 (2024) - [j61]Haitao Yuan, Shen Wang, Jing Bi, Jia Zhang, MengChu Zhou:
Hybrid and Spatiotemporal Detection of Cyberattack Network Traffic in Cloud Data Centers. IEEE Internet Things J. 11(10): 18035-18046 (2024) - [j60]Haitao Yuan, Jing Bi, Shuang Li, Jia Zhang, MengChu Zhou:
An Improved LSTM-Based Prediction Approach for Resources and Workload in Large-Scale Data Centers. IEEE Internet Things J. 11(12): 22816-22829 (2024) - [j59]Jing Bi, Haisen Ma, Haitao Yuan, Rajkumar Buyya, Jinhong Yang, Jia Zhang, MengChu Zhou:
Multivariate Resource Usage Prediction With Frequency-Enhanced and Attention-Assisted Transformer in Cloud Computing Systems. IEEE Internet Things J. 11(15): 26419-26429 (2024) - [j58]Haitao Yuan, Meijia Wang, Jing Bi, Shuyuan Shi, Jinhong Yang, Jia Zhang, MengChu Zhou, Rajkumar Buyya:
Cost-Efficient Task Offloading in Mobile Edge Computing With Layered Unmanned Aerial Vehicles. IEEE Internet Things J. 11(19): 30496-30509 (2024) - [j57]Gongming Wang, Hong Chen, Honggui Han, Jing Bi, Junfei Qiao, Erfan Babaee Tirkolaee:
Predicting Water Quality With Nonstationarity: Event-Triggered Deep Fuzzy Neural Network. IEEE Trans. Fuzzy Syst. 32(5): 2690-2699 (2024) - [j56]Jing Bi, Haitao Yuan, Shuang Li, Kaiyi Zhang, Jia Zhang, MengChu Zhou:
ARIMA-Based and Multiapplication Workload Prediction With Wavelet Decomposition and Savitzky-Golay Filter in Clouds. IEEE Trans. Syst. Man Cybern. Syst. 54(4): 2495-2506 (2024) - [c94]Ziqi Wang, Xiangxi Wu, Jing Bi, Haitao Yuan, Jia Zhang, MengChu Zhou:
Long-term Water Quality Prediction based on Intelligent Optimization and Seasonal-trend Decomposition. CASE 2024: 264-269 - [c93]Jing Bi, Lifeng Xu, Ziqi Wang, Haitao Yuan, Shichao Chen, Mu Gu, MengChu Zhou:
WaterTS: Integrating Enhanced Transformer, Sliding Block, and Channel Independence for Long-term Water Quality Prediction. CASE 2024: 270-275 - [c92]Jing Bi, Yunlong Tang, Luchuan Song, Ali Vosoughi, Nguyen Nguyen, Chenliang Xu:
EAGLE: Egocentric AGgregated Language-video Engine. ACM Multimedia 2024: 1682-1691 - [c91]Nguyen Nguyen, Jing Bi, Ali Vosoughi, Yapeng Tian, Pooyan Fazli, Chenliang Xu:
OSCaR: Object State Captioning and State Change Representation. NAACL-HLT (Findings) 2024: 3565-3576 - [i11]Nguyen Manh Nguyen, Jing Bi, Ali Vosoughi, Yapeng Tian, Pooyan Fazli, Chenliang Xu:
OSCaR: Object State Captioning and State Change Representation. CoRR abs/2402.17128 (2024) - [i10]Yunlong Tang, Daiki Shimada, Jing Bi, Chenliang Xu:
AVicuna: Audio-Visual LLM with Interleaver and Context-Boundary Alignment for Temporal Referential Dialogue. CoRR abs/2403.16276 (2024) - [i9]Jing Bi, Yunlong Tang, Luchuan Song, Ali Vosoughi, Nguyen Nguyen, Chenliang Xu:
EAGLE: Egocentric AGgregated Language-video Engine. CoRR abs/2409.17523 (2024) - 2023
- [j55]Enjamamul Hoq, Osama Aljarrah, Jun Li, Jing Bi, Alfa R. H. Heryudono, Wenzhen Huang:
Data-driven methods for stress field predictions in random heterogeneous materials. Eng. Appl. Artif. Intell. 123(Part A): 106267 (2023) - [j54]Haitao Yuan, Qinglong Hu, Jing Bi, Jinhu Lü, Jia Zhang, Mengchu Zhou:
Profit-Optimized Computation Offloading With Autoencoder-Assisted Evolution in Large-Scale Mobile-Edge Computing. IEEE Internet Things J. 10(13): 11896-11909 (2023) - [j53]Jing Bi, Luyao Zhang, Haitao Yuan, Jia Zhang:
Multi-indicator water quality prediction with attention-assisted bidirectional LSTM and encoder-decoder. Inf. Sci. 625: 65-80 (2023) - [j52]Jing Bi, Ziqi Wang, Haitao Yuan, Jia Zhang, MengChu Zhou:
Self-adaptive teaching-learning-based optimizer with improved RBF and sparse autoencoder for high-dimensional problems. Inf. Sci. 630: 463-481 (2023) - [j51]Osama Aljarrah, Jun Li, Alfa R. H. Heryudono, Wenzhen Huang, Jing Bi:
Predicting part distortion field in additive manufacturing: a data-driven framework. J. Intell. Manuf. 34(4): 1975-1993 (2023) - [j50]Gongming Wang, Jing Bi, Qing-Shan Jia, Junfei Qiao, Lei Wang:
Event-Driven Model Predictive Control With Deep Learning for Wastewater Treatment Process. IEEE Trans. Ind. Informatics 19(5): 6398-6407 (2023) - [j49]Jing Bi, Kaiyi Zhang, Haitao Yuan, Jia Zhang:
Energy-Efficient Computation Offloading for Static and Dynamic Applications in Hybrid Mobile Edge Cloud System. IEEE Trans. Sustain. Comput. 8(2): 232-244 (2023) - [j48]Jing Bi, Haisen Ma, Haitao Yuan, Jia Zhang:
Accurate Prediction of Workloads and Resources With Multi-Head Attention and Hybrid LSTM for Cloud Data Centers. IEEE Trans. Sustain. Comput. 8(3): 375-384 (2023) - [c90]Ziqi Wang, Xinyang Li, Jiayi Wang, Jiahui Zhai, Shichao Chen, Jing Bi:
Energy-minimized Partial Computation Offloading in Cloud-assisted Vehicular Edge Computing Systems. ICNSC 2023: 1-6 - [c89]Jing Bi, Jiahui Zhai, Haitao Yuan, Ziqi Wang, Junfei Qiao, Jia Zhang, MengChu Zhou:
Multi-swarm Genetic Gray Wolf Optimizer with Embedded Autoencoders for High-dimensional Expensive Problems. ICRA 2023: 7265-7271 - [c88]Jing Bi, Ziqi Wang, Haitao Yuan, Junfei Qiao, Jia Zhang, MengChu Zhou:
Self-adaptive Teaching-learning-based Optimizer with Improved RBF and Sparse Autoencoder for Complex Optimization Problems. ICRA 2023: 7966-7972 - [c87]Ruixuan Wu, Yuliang Shi, Haitao Yuan, Jing Bi, Jia Zhang:
Energy-Optimized with Multi-Population Differential Annealed Optimization in Mobile Edge Computing. SMC 2023: 2289-2294 - [c86]Jing Bi, Ziyue Guan, Haitao Yuan, Jia Zhang:
Network Anomaly Detection with Stacked Sparse Shrink Autoencoders and Improved XGBoost. SMC 2023: 3104-3109 - [c85]Jiahui Zhai, Jing Bi, Haitao Yuan, Jia Zhang:
Cost-Effective and Dynamic Migration for Microservices in Hybrid Cloud-Edge Systems. SMC 2023: 3110-3115 - [c84]Haitao Yuan, Shen Wang, Jing Bi, Jia Zhang:
Deep and Spatio-Temporal Detection for Abnormal Traffic in Cloud Data Centers. SMC 2023: 4985-4990 - [c83]Haitao Yuan, Meijia Wang, Jing Bi, Jia Zhang:
Towards Energy-Efficient Scheduling of UAV-Enabled Mobile Edge Computing Systems. SMC 2023: 4991-4996 - [c82]Jing Bi, Zhe Sun, Haitao Yuan, Jia Zhang:
Joint Optimization of Cache-Assisted Offloading and Resource Allocation in Mobile Edge Computing. SMC 2023: 4997-5002 - [c81]Jing Bi, Xiangdong Xue, Haitao Yuan, Jia Zhang:
Latency-Minimized Computation Offloading in Vehicle Fog Computing with Improved Whale Optimization Algorithm. SMC 2023: 5003-5008 - [c80]Jing Bi, Lifeng Xu, Haitao Yuan, Jia Zhang:
Web Traffic Anomaly Detection Using a Hybrid Spatio-temporal Neural Network. SMC 2023: 5009-5014 - [c79]Jing Bi, Ziqi Wang, Haitao Yuan, Jia Zhang:
Cost-Minimized Partial Computation Offloading in Cloud-Assisted Mobile Edge Computing Systems. SMC 2023: 5052-5057 - [c78]Jing Bi, Yibo Li, Xingyang Chang, Haitao Yuan, Junfei Qiao:
Hybrid Water Quality Prediction with Frequency Domain Conversion Enhancement and Seasonal Decomposition. SMC 2023: 5200-5205 - [c77]Jing Bi, Mingxing Yuan, Haitao Yuan, Junfei Qiao:
Multi-Step Water Quality Prediction with Series Decomposition and Auto-Correlation. SMC 2023: 5206-5211 - [i8]Rahil Mehrizi, Arash Mehrjou, Maryana Alegro, Yi Zhao, Benedetta Carbone, Carl Fishwick, Johanna Vappiani, Jing Bi, Siobhan Sanford, Hakan Keles, Marcus Bantscheff, Cuong Nguyen, Patrick Schwab:
Multi-omics Prediction from High-content Cellular Imaging with Deep Learning. CoRR abs/2306.09391 (2023) - [i7]Jing Bi, Nguyen Manh Nguyen, Ali Vosoughi, Chenliang Xu:
MISAR: A Multimodal Instructional System with Augmented Reality. CoRR abs/2310.11699 (2023) - [i6]Yunlong Tang, Jing Bi, Siting Xu, Luchuan Song, Susan Liang, Teng Wang, Daoan Zhang, Jie An, Jingyang Lin, Rongyi Zhu, Ali Vosoughi, Chao Huang, Zeliang Zhang, Feng Zheng, Jianguo Zhang, Ping Luo, Jiebo Luo, Chenliang Xu:
Video Understanding with Large Language Models: A Survey. CoRR abs/2312.17432 (2023) - 2022
- [j47]Gongming Wang, Qing-Shan Jia, MengChu Zhou, Jing Bi, Junfei Qiao, Abdullah Abusorrah:
Artificial neural networks for water quality soft-sensing in wastewater treatment: a review. Artif. Intell. Rev. 55(1): 565-587 (2022) - [j46]Jing Bi, Haitao Yuan, Jiahui Zhai, MengChu Zhou, H. Vincent Poor:
Self-adaptive Bat Algorithm With Genetic Operations. IEEE CAA J. Autom. Sinica 9(7): 1284-1294 (2022) - [j45]Haitao Yuan, Jing Bi, MengChu Zhou:
Energy-Efficient and QoS-Optimized Adaptive Task Scheduling and Management in Clouds. IEEE Trans Autom. Sci. Eng. 19(2): 1233-1244 (2022) - [j44]Jing Bi, Xiang Zhang, Haitao Yuan, Jia Zhang, MengChu Zhou:
A Hybrid Prediction Method for Realistic Network Traffic With Temporal Convolutional Network and LSTM. IEEE Trans Autom. Sci. Eng. 19(3): 1869-1879 (2022) - [j43]Haitao Yuan, Jing Bi, MengChu Zhou:
Geography-Aware Task Scheduling for Profit Maximization in Distributed Green Data Centers. IEEE Trans. Cloud Comput. 10(3): 1864-1874 (2022) - [j42]Jing Bi, Haitao Yuan, Kaiyi Zhang, MengChu Zhou:
Energy-Minimized Partial Computation Offloading for Delay-Sensitive Applications in Heterogeneous Edge Networks. IEEE Trans. Emerg. Top. Comput. 10(4): 1941-1954 (2022) - [j41]Haitao Yuan, Jing Bi, Jia Zhang, MengChu Zhou:
Energy Consumption and Performance Optimized Task Scheduling in Distributed Data Centers. IEEE Trans. Syst. Man Cybern. Syst. 52(9): 5506-5517 (2022) - [j40]Jing Bi, Haitao Yuan, Jia Zhang, MengChu Zhou:
Green Energy Forecast-Based Bi-Objective Scheduling of Tasks Across Distributed Clouds. IEEE Trans. Sustain. Comput. 7(3): 619-630 (2022) - [c76]Haitao Yuan, Qinglong Hu, Meijia Wang, Jing Bi, MengChu Zhou:
Cost-minimized User Association and Partial Offloading for Dependent Tasks in Hybrid Cloud-edge Systems. CASE 2022: 1059-1064 - [c75]Jing Bi, Vorapong Suppakitpaisarn:
Performances of Symmetric Loss for Private Data from Exponential Mechanism. CANDARW 2022: 154-160 - [c74]Jing Bi, Haitao Yuan, Kangyuan Xu, Haisen Ma, MengChu Zhou:
Large-scale Network Traffic Prediction With LSTM and Temporal Convolutional Networks. ICRA 2022: 3865-3870 - [c73]Jing Bi, Ziyue Guan, Haitao Yuan:
Hybrid Network Intrusion Detection with Stacked Sparse Contractive Autoencoders and Attention-based Bidirectional LSTM. SMC 2022: 6-11 - [c72]Jing Bi, Chunhui Zhang, Haitao Yuan, Ziyue Guan, Junfei Qiao:
Multi-indicator Water Quality Prediction with ProbSparse Self-attention and Generative Decoder. SMC 2022: 178-183 - [c71]Jing Bi, Kun Ni, Haitao Yuan, Junfei Qiao:
LBPSC: A Hybrid Prediction Model for Chinese Named Entity Recognition in Water Environment. SMC 2022: 223-228 - [c70]Jing Bi, Wenduo Gu, Haitao Yuan, Zhou Yu:
Latency-minimized Computation Offloading in Fog Computing with Hybrid Whale optimization. SMC 2022: 504-509 - [c69]Jing Bi, Kangyuan Xu, Haitao Yuan, MengChu Zhou:
A Hybrid Deep Learning Method for Network Attack Prediction. SMC 2022: 544-549 - [c68]Jing Bi, Haisen Ma, Haitao Yuan, Kangyuan Xu, MengChu Zhou:
Adaptive Prediction of Resources and Workloads for Cloud Computing Systems with Attention-based and Hybrid LSTM. SMC 2022: 550-555 - [c67]Jing Bi, Zhou Yu, Haitao Yuan:
Cost-optimized Task Scheduling with Improved Deep Q-Learning in Green Data Centers. SMC 2022: 556-561 - [c66]Haitao Yuan, Qinglong Hu, Jing Bi:
Evolutionary Computational Offloading with Autoencoder in Large-scale Edge Computing. SMC 2022: 1121-1126 - [c65]Yongze Lin, Junfei Qiao, Jing Bi, Haitao Yuan, Han Gao, MengChu Zhou:
Hybrid Water Quality Prediction with Graph Attention and Spatio-Temporal Fusion. SMC 2022: 1419-1424 - [c64]Jiahui Zhai, Jing Bi, Haitao Yuan:
Collaborative Computation Offloading for Cost Minimization in Hybrid Computing Systems. SMC 2022: 1772-1777 - [c63]Luyao Zhang, Jing Bi, Haitao Yuan, Jun Zhang, Junfei Qiao:
Hybrid Water Quality Prediction with Bidirectional Long Short-Term Memory and Encoder-Decoder. SMC 2022: 1997-2002 - [c62]Jing Bi, Zichao Wang, Haitao Yuan, Kun Ni, Junfei Qiao:
Multi-indicator Water Time Series Imputation with Autoregressive Generative Adversarial Networks. SMC 2022: 2003-2008 - [c61]Jing Bi, Zexian Chen, Haitao Yuan, Yongze Lin, Junfei Qiao:
Hybrid Prediction for Water Quality with Bidirectional LSTM and Temporal Attention. SMC 2022: 2009-2014 - [c60]Jing Bi, Jun Zhang, Haitao Yuan, Junfei Qiao:
Integrated Spatio-Temporal Prediction for Water Quality with Graph Attention Network and WaveNet. SMC 2022: 2551-2556 - [c59]Haitao Yuan, Qinglong Hu, Jing Bi:
Cost-minimized and Multi-plant Scheduling in Distributed Industrial Systems. SMC 2022: 2851-2856 - [i5]Jing Bi, Vorapong Suppakitpaisarn:
Performances of Symmetric Loss for Private Data from Exponential Mechanism. CoRR abs/2210.04132 (2022) - 2021
- [j39]Jing Bi, Shuang Li, Haitao Yuan, MengChu Zhou:
Integrated deep learning method for workload and resource prediction in cloud systems. Neurocomputing 424: 35-48 (2021) - [j38]Gongming Wang, Qing-Shan Jia, MengChu Zhou, Jing Bi, Junfei Qiao:
Soft-sensing of Wastewater Treatment Process via Deep Belief Network with Event-triggered Learning. Neurocomputing 436: 103-113 (2021) - [j37]Jing Bi, Haitao Yuan, Shuaifei Duanmu, MengChu Zhou, Abdullah Abusorrah:
Energy-Optimized Partial Computation Offloading in Mobile-Edge Computing With Genetic Simulated-Annealing-Based Particle Swarm Optimization. IEEE Internet Things J. 8(5): 3774-3785 (2021) - [j36]Jing Bi, Yongze Lin, QuanXi Dong, Haitao Yuan, MengChu Zhou:
Large-scale water quality prediction with integrated deep neural network. Inf. Sci. 571: 191-205 (2021) - [j35]Nan Guo, Ke Gu, Junfei Qiao, Jing Bi:
Improved deep CNNs based on Nonlinear Hybrid Attention Module for image classification. Neural Networks 140: 158-166 (2021) - [j34]Haitao Yuan, Jing Bi, MengChu Zhou, Qing Liu, Ahmed Chiheb Ammari:
Biobjective Task Scheduling for Distributed Green Data Centers. IEEE Trans Autom. Sci. Eng. 18(2): 731-742 (2021) - [j33]Haitao Yuan, Heng Liu, Jing Bi, MengChu Zhou:
Revenue and Energy Cost-Optimized Biobjective Task Scheduling for Green Cloud Data Centers. IEEE Trans Autom. Sci. Eng. 18(2): 817-830 (2021) - [j32]Gongming Wang, Qing-Shan Jia, Junfei Qiao, Jing Bi, MengChu Zhou:
Deep Learning-Based Model Predictive Control for Continuous Stirred-Tank Reactor System. IEEE Trans. Neural Networks Learn. Syst. 32(8): 3643-3652 (2021) - [j31]Haitao Yuan, Jing Bi, Mengchu Zhou:
Temporal Task Scheduling of Multiple Delay-Constrained Applications in Green Hybrid Cloud. IEEE Trans. Serv. Comput. 14(5): 1558-1570 (2021) - [c58]Jing Bi, Jiebo Luo, Chenliang Xu:
Procedure Planning in Instructional Videos via Contextual Modeling and Model-based Policy Learning. ICCV 2021: 15591-15600 - [c57]Jing Bi, Wenduo Gu, Haitao Yuan:
Chaotic Lévy Whale Optimization Algorithm with Simulated Annealing and Differential Evolution. ICNSC 2021: 1-6 - [c56]Jing Bi, Wenduo Gu, Haitao Yuan:
Hybrid Whale Optimization Algorithm with Differential Evolution and Chaotic Map Operations. ICNSC 2021: 1-6 - [c55]Jing Bi, Jiahui Zhai, Haitao Yuan:
An Adaptive Hybrid Bat Algorithm with Genetic Operations and Dynamic Inertia Weight. ICNSC 2021: 1-6 - [c54]Yihan Wen, Qiuyue Zhang, Haitao Yuan, Jing Bi:
Multi-Stage PSO-Based Cost Minimization for Computation Offloading in Vehicular Edge Networks. ICNSC 2021: 1-6 - [c53]Jing Bi, Kaiyi Zhang, Haitao Yuan:
Workload and Renewable Energy Prediction in Cloud Data Centers with Multi-scale Wavelet Transformation. MED 2021: 506-511 - [c52]Jing Bi, Han Li, Haitao Yuan, Shuaifei Duanmu:
A Spatio-Temporal Prediction Method of Wind Energy in Green Cloud Data Centers. SMC 2021: 570-575 - [c51]Haitao Yuan, Jing Bi, Shuaifei Duanmu:
Cost Optimization for Partial Computation Offloading and Resource Allocation in Heterogeneous Mobile Edge Computing. SMC 2021: 3089-3094 - [c50]Jing Bi, Kaiyi Zhang, Haitao Yuan, Qinglong Hu:
Energy-Aware Task Offloading with Genetic Particle Swarm Optimization in Hybrid Edge Computing. SMC 2021: 3194-3199 - [i4]Jing Bi, Jiebo Luo, Chenliang Xu:
Procedure Planning in Instructional Videos via Contextual Modeling and Model-based Policy Learning. CoRR abs/2110.01770 (2021) - 2020
- [j30]Jing Bi, Shoulin Yin, Hang Li, Lin Teng, Chu Zhao:
Research on Medical Image Encryption Method Based on Improved Krill Herb Algorithm and Chaotic Systems. Int. J. Netw. Secur. 22(3): 484-489 (2020) - [j29]Gongming Wang, Qing-Shan Jia, Junfei Qiao, Jing Bi, Caixia Liu:
A sparse deep belief network with efficient fuzzy learning framework. Neural Networks 121: 430-440 (2020) - [j28]Haitao Yuan, Jing Bi, MengChu Zhou:
Profit-Sensitive Spatial Scheduling of Multi-Application Tasks in Distributed Green Clouds. IEEE Trans Autom. Sci. Eng. 17(3): 1097-1106 (2020) - [j27]Gongming Wang, Junfei Qiao, Jing Bi, Qing-Shan Jia, MengChu Zhou:
An Adaptive Deep Belief Network With Sparse Restricted Boltzmann Machines. IEEE Trans. Neural Networks Learn. Syst. 31(10): 4217-4228 (2020) - [c49]Jing Bi, Vikas Dhiman, Tianyou Xiao, Chenliang Xu:
Learning from Interventions Using Hierarchical Policies for Safe Learning. AAAI 2020: 10352-10360 - [c48]Haitao Yuan, Jing Bi, MengChu Zhou:
Energy Cost and Performance-Sensitive Bi-objective Scheduling of Tasks in Clouds. ICNSC 2020: 1-6 - [c47]Jing Bi, Yongze Lin, QuanXi Dong, Haitao Yuan, MengChu Zhou:
An Improved Attention-based LSTM for Multi-Step Dissolved Oxygen Prediction in Water Environment. ICNSC 2020: 1-6 - [c46]Xiaodong Huang, Lei Peng, Cheng Lu, Jing Bi, Haitao Yuan:
A Deep Learning Approach to Large-Scale Light Curve Prediction and Real-Time Anomaly Detection with Grubbs Criterion. ICNSC 2020: 1-6 - [c45]Heng Liu, Xiaofen Zhang, Jing Bi, Haitao Yuan, MengChu Zhou:
Bi-objective Intelligent Task Scheduling for Green Clouds with Deep Learning-based Prediction. ICNSC 2020: 1-6 - [c44]Shuang Li, Jing Bi, Haitao Yuan, MengChu Zhou, Jia Zhang:
Improved LSTM-based Prediction Method for Highly Variable Workload and Resources in Clouds. SMC 2020: 1206-1211 - [c43]Haitao Yuan, Jing Bi, MengChu Zhou, Jia Zhang, Wei Zhang:
Fine-grained Task Scheduling in Cloud Data Centers Using Simulated-annealing-based Bees Algorithm. SMC 2020: 1212-1217 - [c42]Haitao Yuan, Jing Bi, MengChu Zhou, Jia Zhang, Wei Zhang:
Profit-Maximized Task Offloading with Simulated-annealing-based Migrating Birds Optimization in Hybrid Cloud-Edge Systems. SMC 2020: 1218-1223 - [i3]Jing Shi, Jing Bi, Yingru Liu, Chenliang Xu:
Cubic Spline Smoothing Compensation for Irregularly Sampled Sequences. CoRR abs/2010.01381 (2020)
2010 – 2019
- 2019
- [j26]Lijuan Tang, Kezheng Sun, Jing Bi, Jiheng Wang:
Feature comparison and analysis for new challenging research fields of image quality assessment. Digit. Signal Process. 91: 3-10 (2019) - [j25]Jing Bi, Haitao Yuan, Libo Zhang, Jia Zhang:
SGW-SCN: An integrated machine learning approach for workload forecasting in geo-distributed cloud data centers⁎. Inf. Sci. 481: 57-68 (2019) - [j24]Jing Bi, Haitao Yuan, Wei Tan:
Deadlock prevention for service orchestration via controlled Petri nets. J. Parallel Distributed Comput. 124: 92-105 (2019) - [j23]Jing Bi, Haitao Yuan, MengChu Zhou, Qing Liu:
Time-Dependent Cloud Workload Forecasting via Multi-Task Learning. IEEE Robotics Autom. Lett. 4(3): 2401-2406 (2019) - [j22]Haitao Yuan, Jing Bi, MengChu Zhou:
Spatial Task Scheduling for Cost Minimization in Distributed Green Cloud Data Centers. IEEE Trans Autom. Sci. Eng. 16(2): 729-740 (2019) - [j21]Gongming Wang, Junfei Qiao, Jing Bi, Wenjing Li, MengChu Zhou:
TL-GDBN: Growing Deep Belief Network With Transfer Learning. IEEE Trans Autom. Sci. Eng. 16(2): 874-885 (2019) - [j20]Haitao Yuan, Jing Bi, MengChu Zhou:
Spatiotemporal Task Scheduling for Heterogeneous Delay-Tolerant Applications in Distributed Green Data Centers. IEEE Trans Autom. Sci. Eng. 16(4): 1686-1697 (2019) - [j19]Jing Bi, Haitao Yuan, Mengchu Zhou:
Temporal Prediction of Multiapplication Consolidated Workloads in Distributed Clouds. IEEE Trans Autom. Sci. Eng. 16(4): 1763-1773 (2019) - [j18]Haitao Yuan, Jing Bi, MengChu Zhou:
Multiqueue Scheduling of Heterogeneous Tasks With Bounded Response Time in Hybrid Green IaaS Clouds. IEEE Trans. Ind. Informatics 15(10): 5404-5412 (2019) - [c41]Haitao Yuan, Jing Bi, MengChu Zhou:
QoS and Profit Aware Task Scheduling with Simulated-Annealing-Based Bi-Objective Differential Evolution in Green Clouds. CASE 2019: 904-909 - [c40]Jing Bi, Shuang Li, Haitao Yuan, Ziyan Zhao, Haoyue Liu:
Deep Neural Networks for Predicting Task Time Series in Cloud Computing Systems. ICNSC 2019: 86-91 - [c39]Haitao Yuan, Jing Bi, MengChu Zhou:
Spatio-Temporal Scheduling of Heterogeneous Delay-Constrained Tasks in Geo-Distributed Green Clouds. ICNSC 2019: 287-292 - [c38]Haitao Yuan, Jing Bi, MengChu Zhou:
Temporal-Variation-Aware Profit-Maximized and Delay-Bounded Task Scheduling in Green Data Center. IDCS 2019: 203-212 - [c37]Huizhang Luo, Dan Huang, Qing Liu, Zhenbo Qiao, Hong Jiang, Jing Bi, Haitao Yuan, Mengchu Zhou, Jinzhen Wang, Zhenlu Qin:
Identifying Latent Reduced Models to Precondition Lossy Compression. IPDPS 2019: 293-302 - [c36]Haitao Yuan, Jing Bi:
Location-Sensitive Resource optimization for Profit Maximization in Distributed Data Centers. SMC 2019: 39-44 - [c35]Haitao Yuan, Jing Bi:
Profit-Aware Spatial Task Scheduling in Distributed Green Clouds. SMC 2019: 421-426 - [c34]QuanXi Dong, YongZhe Lin, Jing Bi, Haitao Yuan:
An Integrated Deep Neural Network Approach for Large-Scale Water Quality Time Series Prediction. SMC 2019: 3537-3542 - [c33]Gongming Wang, Junfei Qiao, Jing Bi, Mengchu Zhou:
An Efficient Deep Belief Network with Fuzzy Learning for Nonlinear System Modeling. SMC 2019: 3549-3554 - [i2]Jing Bi, Vikas Dhiman, Tianyou Xiao, Chenliang Xu:
Learning from Interventions using Hierarchical Policies for Safe Learning. CoRR abs/1912.02241 (2019) - 2018
- [j17]Haitao Yuan, Jing Bi, Mengchu Zhou, Khaled Sedraoui:
WARM: Workload-Aware Multi-Application Task Scheduling for Revenue Maximization in SDN-Based Cloud Data Center. IEEE Access 6: 645-657 (2018) - [j16]Jing Bi, Tianzhi Feng, Haitao Yuan:
Real-time and short-term anomaly detection for GWAC light curves. Comput. Ind. 97: 76-84 (2018) - [j15]Bing Bai, Yushun Fan, Wei Tan, Jia Zhang, Keman Huang, Jing Bi:
End-to-End Web Service Recommendations by Extending Collaborative Topic Regression. Int. J. Web Serv. Res. 15(1): 89-112 (2018) - [j14]Haitao Yuan, Jing Bi, MengChu Zhou, Ahmed Chiheb Ammari:
Time-Aware Multi-Application Task Scheduling With Guaranteed Delay Constraints in Green Data Center. IEEE Trans Autom. Sci. Eng. 15(3): 1138-1151 (2018) - [c32]Jing Bi, Haitao Yuan, Jia Zhang, MengChu Zhou:
Temporal Task Scheduling for Delay-Constrained Applications in Geo-Distributed Cloud Data Centers. IEEE CLOUD 2018: 138-145 - [c31]Libo Zhang, Jing Bi, Haitao Yuan:
Workload Forecasting with Hybrid Stochastic Configuration Networks in Clouds. CCIS 2018: 112-116 - [c30]Cheng Lu, Lei Peng, Jing Bi, Haitao Yuan:
An Improved Dro-Based Recurrent Neural Networks for Large-Scale Light Curve Time Series Prediction. CCIS 2018: 117-121 - [c29]Wei Guo, Qiang Chen, Zhaoxuan Gong, Jing Bi, Yoohwan Kim, Guodong Zhang:
Automatic Rib Detection and Segmentation Based on Spatial Distance Constraints Particle Filter Method. ICIGP 2018: 22-25 - [c28]Jing Bi, Libo Zhang, Haitao Yuan, MengChu Zhou:
Hybrid task prediction based on wavelet decomposition and ARIMA model in cloud data center. ICNSC 2018: 1-6 - [c27]Jing Bi, Shoulin Yin:
A New Graph Semi-Supervised Learning Method for Medical Image Automatic Annotation. iThings/GreenCom/CPSCom/SmartData 2018: 43-46 - [c26]Shoulin Yin, Jing Bi:
Medical Image Annotation Based on Deep Transfer Learning. iThings/GreenCom/CPSCom/SmartData 2018: 47-49 - [c25]Jing Bi, Haitao Yuan, Mengchu Zhou:
Geographical Scheduling of Multi-application Tasks for Cost Minimization in Distributed Green Data Centers. SMC 2018: 3171-3176 - [i1]Jing Bi, Tianyou Xiao, Qiuyue Sun, Chenliang Xu:
Navigation by Imitation in a Pedestrian-Rich Environment. CoRR abs/1811.00506 (2018) - 2017
- [j13]Jianqiang Li, Ji-Jiang Yang, Yu Zhao, Bo Liu, Mengchu Zhou, Jing Bi, Qing Wang:
Enforcing Differential Privacy for Shared Collaborative Filtering. IEEE Access 5: 35-49 (2017) - [j12]Haitao Yuan, Jing Bi, Bo Hu Li, Wei Tan:
Cost-aware request routing in multi-geography cloud data centres using software-defined networking. Enterp. Inf. Syst. 11(3): 359-388 (2017) - [j11]Xiao Song, Ziping Xie, Yan Xu, Gary Tan, Wenjie Tang, Jing Bi, Xiaosong Li:
Supporting real-world network-oriented mesoscopic traffic simulation on GPU. Simul. Model. Pract. Theory 74: 46-63 (2017) - [j10]Haitao Yuan, Jing Bi, Wei Tan, Bo Hu Li:
Temporal Task Scheduling With Constrained Service Delay for Profit Maximization in Hybrid Clouds. IEEE Trans Autom. Sci. Eng. 14(1): 337-348 (2017) - [j9]Jing Bi, Haitao Yuan, Wei Tan, MengChu Zhou, Yushun Fan, Jia Zhang, Jianqiang Li:
Application-Aware Dynamic Fine-Grained Resource Provisioning in a Virtualized Cloud Data Center. IEEE Trans Autom. Sci. Eng. 14(2): 1172-1184 (2017) - [j8]Haitao Yuan, Jing Bi, Wei Tan, MengChu Zhou, Bo Hu Li, Jianqiang Li:
TTSA: An Effective Scheduling Approach for Delay Bounded Tasks in Hybrid Clouds. IEEE Trans. Cybern. 47(11): 3658-3668 (2017) - [c24]Haitao Yuan, Jing Bi, Jia Zhang, Wei Tan, Keman Huang:
Workload-Aware Revenue Maximization in SDN-Enabled Data Center. CLOUD 2017: 18-25 - [c23]Tianzhi Feng, Zhihui Du, Yankui Sun, Jianyan Wei, Jing Bi, Jason Liu:
Real-Time Anomaly Detection of Short-Time-Scale GWAC Survey Light Curves. BigData Congress 2017: 224-231 - [c22]Haitao Yuan, Jing Bi, MengChu Zhou:
Revenue-sensitive scheduling of multi-application tasks in software-defined cloud. CASE 2017: 1566-1571 - [c21]Jing Bi, Haitao Yuan, Junfei Qiao, MengChu Zhou, Xiao Song:
Temporal request scheduling for energy-efficient cloud data centers. ICNSC 2017: 180-185 - [c20]Haitao Yuan, Jing Bi, MengChu Zhou:
Cost-sensitive task routing and resource provisioning in geo-distributed clouds. ICNSC 2017: 507-512 - 2016
- [j7]Jing Bi, Haitao Yuan, Mengchu Zhou:
A Petri Net Method for Compatibility Enforcement to Support Service Choreography. IEEE Access 4: 8581-8592 (2016) - [j6]Ji-Jiang Yang, Jianqiang Li, Ruifang Shen, Yang Zeng, Jian He, Jing Bi, Yong Li, Qinyan Zhang, Lihui Peng, Qing Wang:
Exploiting ensemble learning for automatic cataract detection and grading. Comput. Methods Programs Biomed. 124: 45-57 (2016) - [j5]Jing Bi, Haitao Yuan, Wei Tan, Bo Hu Li:
TRS: Temporal Request Scheduling with bounded delay assurance in a green cloud data center. Inf. Sci. 360: 57-72 (2016) - [j4]Yayu Ni, Yushun Fan, Wei Tan, Keman Huang, Jing Bi:
NCSR: Negative-Connection-Aware Service Recommendation for Large Sparse Service Network. IEEE Trans Autom. Sci. Eng. 13(2): 579-590 (2016) - [j3]Haitao Yuan, Jing Bi, Wei Tan, Bo Hu Li:
CAWSAC: Cost-Aware Workload Scheduling and Admission Control for Distributed Cloud Data Centers. IEEE Trans Autom. Sci. Eng. 13(2): 976-985 (2016) - [c19]Bo Liu, Jianqiang Li, Ji-Jiang Yang, Jing Bi, Rong Li, Yong Li:
Pattern Recognition for Large-Scale and Incremental Time Series in Healthcare. COMPSAC Workshops 2016: 653-658 - [c18]Meng Tian, Jianqiang Li, Ji-Jiang Yang, Bo Liu, Xi Meng, Rong Li, Jing Bi:
Exploiting collaborative learning for concept extraction in the medical field. ICCIP 2016: 1-5 - [c17]Jingchao Sun, Lu Liu, Jianqiang Li, Ji-Jiang Yang, Shi Chen, Qing Wang, Mengchu Zhou, Rong Li, Bo Liu, Jing Bi:
A data-driven approach to predict Small-for-Gestational-Age infants. ICNSC 2016: 1-6 - 2015
- [j2]Jing Bi, Haitao Yuan, Ming Tie, Wei Tan:
SLA-based optimisation of virtualised resource for multi-tier web applications in cloud data centres. Enterp. Inf. Syst. 9(7): 743-767 (2015) - [c16]Jing Bi, Haitao Yuan, Yushun Fan, Wei Tan, Jia Zhang:
Dynamic Fine-Grained Resource Provisioning for Heterogeneous Applications in Virtualized Cloud Data Center. CLOUD 2015: 429-436 - [c15]Meng Tian, Jianqiang Li, Xi Meng, Rong Li, Jing Bi, Juan Li, Yu Zhao, Bo Liu:
A Topic-Level Privacy Preserving Search in the Medical Field. SmartCity 2015: 1139-1142 - 2014
- [c14]Haitao Yuan, Jing Bi, Bo Hu Li, Xudong Chai:
An Approach to Optimized Resource Allocation for Cloud Simulation Platform. AsiaSim 2014: 139-152 - [c13]Yayu Ni, Yushun Fan, Keman Huang, Jing Bi, Wei Tan:
Negative-Connection-Aware Tag-Based Association Mining and Service Recommendation. ICSOC 2014: 419-428 - 2011
- [c12]Zhiliang Zhu, Jing Bi, Haitao Yuan, Ying Chen:
SLA Based Dynamic Virtualized Resources Provisioning for Shared Cloud Data Centers. IEEE CLOUD 2011: 630-637 - [c11]Wen-Ying Zhang, Jing Bi, Cheng Gong, Gang Guo, Yu Liu, Bao-ku Su:
D optimal design for inertial navigation systems self-demarcation test based on genetic algorithm and tabu search algorithm. ICMLC 2011: 428-431 - [c10]Jing Bi, Zhiliang Zhu, Haitao Yuan, Yushun Fan, Ming Tie:
A Petri Net Based Hybrid Optimal Controller for Deadlock Prevention in Web Service Composition. ICWS 2011: 718-719 - 2010
- [c9]Jing Bi, Zhiliang Zhu, Ruixiong Tian, Qingbo Wang:
Dynamic Provisioning Modeling for Virtualized Multi-tier Applications in Cloud Data Center. IEEE CLOUD 2010: 370-377 - [c8]Jingqi Wei, Dancheng Li, Jun Na, Jing Bi, Zhiliang Zhu, Ying Chen:
Web Service Publication and Discovery Architecture Based on JXTA. ICSS 2010: 383-387
2000 – 2009
- 2009
- [j1]Xiangbin Shi, Xue Wang, Jing Bi, Fang Liu, Dan Yang, Xian-Yan Liu:
A DR algorithm based on artificial potential field method. Multim. Tools Appl. 45(1-3): 247-261 (2009) - [c7]Jing Bi, Kai Song, Hang Li:
Application of IP Multicast Technology in Computer Laboratory Teaching System. HIS (2) 2009: 199-202 - [c6]Jing Bi, Kai Song, Hang Li:
The Level Filling Algorithm for Clockwise Edge. HIS (3) 2009: 425-427 - 2008
- [c5]Jing Bi, Shu-Chang Liu:
A Speaker Identification System for Video Content Analysis. IIH-MSP 2008: 200-203 - 2007
- [c4]Hang Li, Jie Liu, Jing Bi:
Fault Tolerant Reconstruction Algorithm Based on Distributed Agents for Network Management. IIH-MSP 2007: 79-82 - [c3]Ming Tie, Jing Bi, Yushun Fan:
Hybrid Intelligent Modeling Approach for the Ball Mill Grinding Process. ISNN (1) 2007: 609-617 - [c2]Shu-Chang Liu, Li Guo, Jie Chen, Jing Bi, Rui Chen, Minmin Zhou, Zhiqiang Jia:
Automatic Audio Classification and Segmentation for Video Content Analysis. MSA 2007: 35-41 - [c1]Shu-Chang Liu, Jing Bi, Zhiqiang Jia, Rui Chen, Jie Chen, Minmin Zhou:
Automatic Audio Classification and Speaker Identification for Video Content Analysis. SNPD (2) 2007: 91-96
Coauthor Index
aka: Mengchu Zhou
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