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ORCIDJiajun Zhou
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2020 – today
- 2024
[j45]Jiajun Zhou
, Yun Tian, Liang Gao, Chao Lu, Xifan Yao:
Knowledge-aware manufacturing services collaboration: A comprehensive study of evolutionary transfer optimization approaches. Adv. Eng. Informatics 60: 102343 (2024)- [j44]Chao Lu, Jiajun Zhou, Liang Gao, Xinyu Li, Junliang Wang:
Modeling and multi-objective optimization for energy-aware scheduling of distributed hybrid flow-shop. Appl. Soft Comput. 156: 111508 (2024) - [j43]Fei Yu, Chao Lu, Jiajun Zhou, Lvjiang Yin, Kaipu Wang:
A knowledge-guided bi-population evolutionary algorithm for energy-efficient scheduling of distributed flexible job shop problem. Eng. Appl. Artif. Intell. 128: 107458 (2024) - [j42]Feige Liu, Guiling Li, Chao Lu, Lvjiang Yin, Jiajun Zhou:
A tri-individual iterated greedy algorithm for the distributed hybrid flow shop with blocking. Expert Syst. Appl. 237(Part C): 121667 (2024) - [j41]Fei Yu, Chao Lu, Jiajun Zhou, Lvjiang Yin:
Mathematical model and knowledge-based iterated greedy algorithm for distributed assembly hybrid flow shop scheduling problem with dual-resource constraints. Expert Syst. Appl. 239: 122434 (2024) - [j40]Lan Mei, Yaopan Hou, Jiajun Zhou, Yetong Chang, Yuwei Liu, Di Wang, Yunpeng Zhang, Shangwei Ning, Xia Li:
AVM: A Manually Curated Database of Aerosol-transmitted Virus Mutations, Human Diseases, and Drugs. Genom. Proteom. Bioinform. 22(3) (2024) - [j39]Fei Yu, Chao Lu, Lvjiang Yin, Jiajun Zhou:
Modeling and optimization algorithm for energy-efficient distributed assembly hybrid flowshop scheduling problem considering worker resources. J. Ind. Inf. Integr. 40: 100620 (2024) - [j38]Xuan Jing, Xifan Yao, Min Liu, Jiajun Zhou:
Multi-agent reinforcement learning based on graph convolutional network for flexible job shop scheduling. J. Intell. Manuf. 35(1): 75-93 (2024) - [j37]Jiajun Zhou, Chenxuan Xie, Shengbo Gong, Jiaxu Qian, Shanqing Yu, Qi Xuan, Xiaoniu Yang:
PathMLP: Smooth path towards high-order homophily. Neural Networks 180: 106650 (2024) - [j36]Jiajun Zhou, Jiajun Wu, Yizhao Gao, Yuhao Ding, Chaofan Tao, Boyu Li, Fengbin Tu, Kwang-Ting Cheng, Hayden Kwok-Hay So, Ngai Wong:
DyBit: Dynamic Bit-Precision Numbers for Efficient Quantized Neural Network Inference. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(5): 1613-1617 (2024) - [j35]Boyu Li, Kai Li, Jiajun Zhou, Yuan Ren, Wei Mao, Hao Yu, Ngai Wong:
A Reconfigurable Processing Element for Multiple-Precision Floating/Fixed-Point HPC. IEEE Trans. Circuits Syst. II Express Briefs 71(3): 1401-1405 (2024) - [j34]Chengxiang Jin, Jiajun Zhou, Jie Jin, Jiajing Wu, Qi Xuan:
Time-Aware Metapath Feature Augmentation for Ponzi Detection in Ethereum. IEEE Trans. Netw. Sci. Eng. 11(4): 3747-3758 (2024) - [j33]Zhengjie Duan, Jiajun Zhou, Fangzhou Gu:
Cognitive differences in product shape evaluation between real settings and virtual reality: case study of two-wheel electric vehicles. Virtual Real. 28(3): 136 (2024) - [j32]Zhengjie Duan, Jiajun Zhou, Fangzhou Gu:
Correction: Cognitive differences in product shape evaluation between real settings and virtual reality: case study of two-wheel electric vehicles. Virtual Real. 28(3): 151 (2024) - [c19]Hao Song, Jiacheng Yao, Xuanze Chen, Shaocong Xu, Shibo Jin, Jiajun Zhou, Chenbo Fu, Qi Xuan, Shanqing Yu:
A Federated Parameter Aggregation Method for Node Classification Tasks with Different Graph Network Structures. DSPP (1) 2024: 225-243 - [c18]Binxiao Huang, Jason Chun Lok Li, Jie Ran, Boyu Li, Jiajun Zhou, Dahai Yu, Ngai Wong:
Hundred-Kilobyte Lookup Tables for Efficient Single-Image Super-Resolution. IJCAI 2024: 857-865 - [c17]Yifan Yang, Jiajun Zhou, Ngai Wong, Zheng Zhang:
LoRETTA: Low-Rank Economic Tensor-Train Adaptation for Ultra-Low-Parameter Fine-Tuning of Large Language Models. NAACL-HLT 2024: 3161-3176 - [i33]Yifan Yang, Jiajun Zhou, Ngai Wong, Zheng Zhang:
LoRETTA: Low-Rank Economic Tensor-Train Adaptation for Ultra-Low-Parameter Fine-Tuning of Large Language Models. CoRR abs/2402.11417 (2024) - [i32]Hao Song, Jiacheng Yao, Zhengxi Li, Shaocong Xu, Shibo Jin, Jiajun Zhou, Chenbo Fu, Qi Xuan, Shanqing Yu:
A Federated Parameter Aggregation Method for Node Classification Tasks with Different Graph Network Structures. CoRR abs/2403.16004 (2024) - [i31]Lijin Wu, Shanshan Lei, Feilong Liao, Yuanjun Zheng, Yuxin Liu, Wentao Fu, Hao Song, Jiajun Zhou:
EG-ConMix: An Intrusion Detection Method based on Graph Contrastive Learning. CoRR abs/2403.17980 (2024) - [i30]Xuanze Chen, Chenkai Hu, Shengbo Gong, Chengxiang Jin, Jiajun Zhou, Shanqing Yu, Qi Xuan:
Facilitating Feature and Topology Lightweighting: An Ethereum Transaction Graph Compression Method for Malicious Account Detection. CoRR abs/2405.08278 (2024) - [i29]Jiacheng Yao, Maolin Wang, Wanqi Chen, Chengxiang Jin, Jiajun Zhou, Shanqing Yu, Qi Xuan:
Dual-view Aware Smart Contract Vulnerability Detection for Ethereum. CoRR abs/2407.00336 (2024) - [i28]Chenxiang Jin, Jiajun Zhou, Chenxuan Xie, Shanqing Yu, Qi Xuan, Xiaoniu Yang:
Enhancing Ethereum Fraud Detection via Generative and Contrastive Self-supervision. CoRR abs/2408.00641 (2024) - [i27]Jiajun Zhou, Yijie Yang, Austin M. Mroz, Kim E. Jelfs:
PolyCL: Contrastive Learning for Polymer Representation Learning via Explicit and Implicit Augmentations. CoRR abs/2408.07556 (2024) - [i26]Song Hao, Wentao Fu, Xuanze Chen, Chengxiang Jin, Jiajun Zhou, Shanqing Yu, Qi Xuan:
Network Anomaly Traffic Detection via Multi-view Feature Fusion. CoRR abs/2409.08020 (2024) - 2023
- [j31]Jiajun Zhou, Liang Gao, Chao Lu:
Solving multi-task manufacturing cloud service allocation problems via bee colony optimizer with transfer learning. Adv. Eng. Informatics 56: 101984 (2023) - [j30]Jiajun Zhou, Shijie Rao, Liang Gao, Chunjiang Zhang, Hongtao Tang, Yun Li, Felix T. S. Chan:
Solving many-task optimization problems via online intertask learning. Expert Syst. Appl. 225: 120110 (2023) - [j29]Jiajun Zhou, Liang Gao, Chao Lu, Xifan Yao:
Towards multi-task transfer optimization of cloud service collaboration in industrial internet platform. Robotics Comput. Integr. Manuf. 80: 102472 (2023) - [j28]Chun Tian, Gengwei Zhai, Yingqi Gao, Chao Chen, Jiajun Zhou:
Study on Creepage Control for PLS-160 Wheel-Rail Adhesion Test Rig Based on LADRC. Sensors 23(4): 1792 (2023) - [j27]Jiajun Zhou, Shijie Rao, Liang Gao:
An ensemble knowledge transfer framework for evolutionary multi-task optimization. Swarm Evol. Comput. 83: 101394 (2023) - [j26]Jiajun Zhou, Zhi Chen, Min Du, Lihong Chen, Shanqing Yu, Guanrong Chen, Qi Xuan:
RobustECD: Enhancement of Network Structure for Robust Community Detection. IEEE Trans. Knowl. Data Eng. 35(1): 842-856 (2023) - [c16]Jason Chun Lok Li, Rui Lin, Jiajun Zhou, Edmund Yin Mun Lam, Ngai Wong:
A Unifying Tensor View for Lightweight CNNs. ASICON 2023: 1-4 - [c15]Wenyong Zhou, Yuan Ren, Jiajun Zhou, Tianshu Hou, Ngai Wong:
A Time- and Energy-Efficient CNN with Dense Connections on Memristor-Based Chips. ASICON 2023: 1-4 - [c14]Shengbo Gong, Jiajun Zhou, Chenxuan Xie, Qi Xuan:
Neighborhood Homophily-based Graph Convolutional Network. CIKM 2023: 3908-3912 - [c13]Jie Ran, Rui Lin, Jason Chun Lok Li, Jiajun Zhou, Ngai Wong:
PECAN: A Product-Quantized Content Addressable Memory Network. DATE 2023: 1-6 - [c12]Jiajun Wu, Jiajun Zhou, Yizhao Gao, Yuhao Ding, Ngai Wong, Hayden Kwok-Hay So:
MSD: Mixing Signed Digit Representations for Hardware-efficient DNN Acceleration on FPGA with Heterogeneous Resources. FCCM 2023: 94-104 - [c11]Chengxiang Jin, Jiajun Zhou, Shengbo Gong, Chenxuan Xie, Qi Xuan:
Multi-triplet Feature Augmentation for Ponzi Scheme Detection in Ethereum. ICDM (Workshops) 2023: 649-655 - [c10]Chen Cheng, Can Zhao, Junda Chen, Weihao Li, Maoqi Zhang, Mingming Zhang, Yizhao Chen, Zihe Hu, Jiajun Zhou, Ming Tang:
Inter-Core Crosstalk Sense-and-Compensate for Multi-Core Fiber Transmission with CAZAC Training Sequence. OFC 2023: 1-3 - [i25]Shengbo Gong, Jiajun Zhou, Chenxuan Xie, Qi Xuan:
Neighborhood Homophily-Guided Graph Convolutional Network. CoRR abs/2301.09851 (2023) - [i24]Jiajun Zhou, Jiajun Wu, Yizhao Gao, Yuhao Ding, Chaofan Tao, Boyu Li, Fengbin Tu, Kwang-Ting Cheng, Hayden Kwok-Hay So, Ngai Wong:
DyBit: Dynamic Bit-Precision Numbers for Efficient Quantized Neural Network Inference. CoRR abs/2302.12510 (2023) - [i23]Shengbo Gong, Jiajun Zhou, Qi Xuan:
Clarify Confused Nodes Through Separated Learning. CoRR abs/2306.02285 (2023) - [i22]Chenxuan Xie, Jiajun Zhou, Shengbo Gong, Jiacheng Wan, Jiaxu Qian, Shanqing Yu, Qi Xuan, Xiaoniu Yang:
PathMLP: Smooth Path Towards High-order Homophily. CoRR abs/2306.13532 (2023) - [i21]Chengxiang Jin, Jiajun Zhou, Shengbo Gong, Chenxuan Xie, Qi Xuan:
Multi-triplet Feature Augmentation for Ponzi Scheme Detection in Ethereum. CoRR abs/2310.00856 (2023) - [i20]Rui Lin, Jason Chun Lok Li, Jiajun Zhou, Binxiao Huang, Jie Ran, Ngai Wong:
Lite it fly: An All-Deformable-Butterfly Network. CoRR abs/2311.08125 (2023) - [i19]Binxiao Huang, Jason Chun Lok Li, Jie Ran, Boyu Li, Jiajun Zhou, Dahai Yu, Ngai Wong:
Hundred-Kilobyte Lookup Tables for Efficient Single-Image Super-Resolution. CoRR abs/2312.06101 (2023) - [i18]Jason Chun Lok Li, Rui Lin, Jiajun Zhou, Edmund Yin Mun Lam, Ngai Wong:
A Unifying Tensor View for Lightweight CNNs. CoRR abs/2312.09922 (2023) - 2022
- [j25]Jiajun Zhou, Shijie Rao, Liang Gao, Chao Lu, Jun Zheng, Felix T. S. Chan:
Self-regulated bi-partitioning evolution for many-objective optimization. Inf. Sci. 589: 827-848 (2022) - [j24]Chao Lu, Yuanxiang Huang, Leilei Meng, Liang Gao, Biao Zhang, Jiajun Zhou:
A Pareto-based collaborative multi-objective optimization algorithm for energy-efficient scheduling of distributed permutation flow-shop with limited buffers. Robotics Comput. Integr. Manuf. 74: 102277 (2022) - [j23]Chengxiang Jin, Jie Jin, Jiajun Zhou, Jiajing Wu, Qi Xuan:
Heterogeneous Feature Augmentation for Ponzi Detection in Ethereum. IEEE Trans. Circuits Syst. II Express Briefs 69(9): 3919-3923 (2022) - [j22]Chunjiang Zhang, Liang Gao, Xinyu Li, Weiming Shen, Jiajun Zhou, Kay Chen Tan:
Resetting Weight Vectors in MOEA/D for Multiobjective Optimization Problems With Discontinuous Pareto Front. IEEE Trans. Cybern. 52(9): 9770-9783 (2022) - [j21]Jiajun Zhou, Chenkai Hu, Jianlei Chi, Jiajing Wu, Meng Shen, Qi Xuan:
Behavior-Aware Account De-Anonymization on Ethereum Interaction Graph. IEEE Trans. Inf. Forensics Secur. 17: 3433-3448 (2022) - [c9]Panpan Li, Shengbo Gong, Shaocong Xu, Jiajun Zhou, Shanqing Yu, Qi Xuan:
Cross Cryptocurrency Relationship Mining for Bitcoin Price Prediction. BlockSys 2022: 237-250 - [c8]Panpan Li, Yunyi Xie, Xinyao Xu, Jiajun Zhou, Qi Xuan:
Phishing Fraud Detection on Ethereum Using Graph Neural Network. BlockSys 2022: 362-375 - [i17]Jiajun Zhou, Chenkai Hu, Jianlei Chi, Jiajing Wu, Meng Shen, Qi Xuan:
Behavior-aware Account De-anonymization on Ethereum Interaction Graph. CoRR abs/2203.09360 (2022) - [i16]Panpan Li, Yunyi Xie, Xinyao Xu, Jiajun Zhou, Qi Xuan:
Phishing Fraud Detection on Ethereum using Graph Neural Network. CoRR abs/2204.08194 (2022) - [i15]Chengxiang Jin, Jie Jin, Jiajun Zhou, Jiajing Wu, Qi Xuan:
Heterogeneous Feature Augmentation for Ponzi Detection in Ethereum. CoRR abs/2204.08916 (2022) - [i14]Panpan Li, Shengbo Gong, Shaocong Xu, Jiajun Zhou, Shanqing Yu, Qi Xuan:
Cross Cryptocurrency Relationship Mining for Bitcoin Price Prediction. CoRR abs/2205.00974 (2022) - [i13]Shanqing Yu, Shihan Zhang, Jianlin Zhang, Jiajun Zhou, Qi Xuan, Bing Li, Xiaojuan Hu:
SubGraph Networks based Entity Alignment for Cross-lingual Knowledge Graph. CoRR abs/2205.03557 (2022) - [i12]Jie Jin, Jiajun Zhou, Chengxiang Jin, Shanqing Yu, Ziwan Zheng, Qi Xuan:
Dual-channel Early Warning Framework for Ethereum Ponzi Schemes. CoRR abs/2206.07895 (2022) - [i11]Jie Ran, Rui Lin, Jason Chun Lok Li, Jiajun Zhou, Ngai Wong:
PECAN: A Product-Quantized Content Addressable Memory Network. CoRR abs/2208.13571 (2022) - [i10]Chengxiang Jin, Jiajun Zhou, Jie Jin, Jiajing Wu, Qi Xuan:
Time-aware Metapath Feature Augmentation for Ponzi Detection in Ethereum. CoRR abs/2210.16863 (2022) - [i9]Shanqing Yu, Yijun Wu, Ran Gan, Jiajun Zhou, Ziwan Zheng, Qi Xuan:
Discover Important Paths in the Knowledge Graph Based on Dynamic Relation Confidence. CoRR abs/2211.00914 (2022) - [i8]Jiajun Zhou, Chenxuan Xie, Zhenyu Wen, Xiangyu Zhao, Qi Xuan:
Data Augmentation on Graphs: A Survey. CoRR abs/2212.09970 (2022) - 2021
- [j20]Jiajun Zhou, Xifan Yao, Liang Gao, Chengyu Hu:
An indicator and adaptive region division based evolutionary algorithm for many-objective optimization. Appl. Soft Comput. 99: 106872 (2021) - [j19]Jiajun Zhou, Liang Gao, Xinyu Li, Chunjiang Zhang, Chengyu Hu:
Hyperplane-driven and projection-assisted search for solving many-objective optimization problems. Inf. Sci. 574: 394-412 (2021) - [j18]Jiajun Zhou, Liang Gao, Xinyu Li:
Ensemble of Dynamic Resource Allocation Strategies for Decomposition-Based Multiobjective Optimization. IEEE Trans. Evol. Comput. 25(4): 710-723 (2021) - [j17]Jiajun Zhou, Jie Shen, Shanqing Yu, Guanrong Chen, Qi Xuan:
M-Evolve: Structural-Mapping-Based Data Augmentation for Graph Classification. IEEE Trans. Netw. Sci. Eng. 8(1): 190-200 (2021) - [j16]Jiajun Zhou, Jie Shen, Shanqing Yu, Guanrong Chen, Qi Xuan:
Corrections to "M-Evolve: Structural-Mapping-Based Data Augmentation for Graph Classification". IEEE Trans. Netw. Sci. Eng. 8(2): 1974 (2021) - [j15]Jinhuan Wang, Pengtao Chen, Bin Ma, Jiajun Zhou, Zhongyuan Ruan, Guanrong Chen, Qi Xuan:
Sampling Subgraph Network With Application to Graph Classification. IEEE Trans. Netw. Sci. Eng. 8(4): 3478-3490 (2021) - [c7]Jie Shen, Jiajun Zhou, Yunyi Xie, Shanqing Yu, Qi Xuan:
Identity Inference on Blockchain Using Graph Neural Network. BlockSys 2021: 3-17 - [i7]Jinhuan Wang, Pengtao Chen, Bin Ma, Jiajun Zhou, Zhongyuan Ruan, Guanrong Chen, Qi Xuan:
Sampling Subgraph Network with Application to Graph Classification. CoRR abs/2102.05272 (2021) - [i6]Jie Shen, Jiajun Zhou, Yunyi Xie, Shanqing Yu, Qi Xuan:
Identity Inference on Blockchain using Graph Neural Network. CoRR abs/2104.06559 (2021) - [i5]Jiajun Zhou, Qi Xuan:
Subgraph Contrastive Link Representation Learning. CoRR abs/2112.01165 (2021) - [i4]Jiajun Zhou, Chenkai Hu, Shengbo Gong, Jiaying Xu, Jie Shen, Qi Xuan:
BlockGC: A Joint Learning Framework for Account Identity Inference on Blockchain with Graph Contrast. CoRR abs/2112.03659 (2021) - 2020
- [j14]Jiajun Zhou, Liang Gao, Xifan Yao, Chunjiang Zhang, Felix T. S. Chan, Yingzi Lin:
An adaptive dual-population evolutionary paradigm with adversarial search: Case study on many-objective service consolidation. Appl. Soft Comput. 90: 106160 (2020) - [j13]Jiajun Zhou, Liang Gao, Xifan Yao, Chunjiang Zhang, Felix T. S. Chan, Yingzi Lin:
Evolutionary many-objective assembly of cloud services via angle and adversarial direction driven search. Inf. Sci. 513: 143-167 (2020) - [j12]Fuqiang Lin, Xingkong Ma, Yaofeng Chen, Jiajun Zhou, Bo Liu:
PC-SAN: Pretraining-Based Contextual Self-Attention Model for Topic Essay Generation. KSII Trans. Internet Inf. Syst. 14(8): 3168-3186 (2020) - [c6]Jiajun Zhou, Jie Shen, Qi Xuan:
Data Augmentation for Graph Classification. CIKM 2020: 2341-2344 - [c5]Mengling Wu, Chao Chen, Chun Tian, Jiajun Zhou:
Precise Train Stopping Algorithm Based on Deceleration Control. ICITE 2020: 281-284 - [i3]Jiajun Zhou, Jie Shen, Shanqing Yu, Guanrong Chen, Qi Xuan:
M-Evolve: Structural-Mapping-Based Data Augmentation for Graph Classification. CoRR abs/2007.05700 (2020) - [i2]Jiajun Zhou, Jie Shen, Qi Xuan:
Data Augmentation for Graph Classification. CoRR abs/2009.09863 (2020)
2010 – 2019
- 2019
- [j11]Jiajun Zhou, Xifan Yao, Felix T. S. Chan, Yingzi Lin, Hong Jin, Liang Gao, Xuping Wang:
An individual dependent multi-colony artificial bee colony algorithm. Inf. Sci. 485: 114-140 (2019) - [j10]Jiajun Zhou, Liang Gao, Xifan Yao, Felix T. S. Chan, Jianming Zhang, Xinyu Li, Yingzi Lin:
A decomposition and statistical learning based many-objective artificial bee colony optimizer. Inf. Sci. 496: 82-108 (2019) - [j9]Jiajun Zhou, Xifan Yao, Felix T. S. Chan, Liang Gao, Xuan Jing, Xinyu Li, Yingzi Lin, Yun Li:
A decomposition based evolutionary algorithm with direction vector adaption and selection enhancement. Inf. Sci. 501: 248-271 (2019) - [j8]Xifan Yao, Jiajun Zhou, Yingzi Lin, Yun Li, Hongnian Yu, Ying Liu:
Smart manufacturing based on cyber-physical systems and beyond. J. Intell. Manuf. 30(8): 2805-2817 (2019) - [j7]Jiajun Zhou, Liang Gao, Xifan Yao, Chunjiang Zhang, Felix T. S. Chan, Yingzi Lin:
Evolutionary algorithms for many-objective cloud service composition: Performance assessments and comparisons. Swarm Evol. Comput. 51 (2019) - [c4]Lin Gan, Jiajun Zhou, Li Shen, Xiancong Guo, Yanlin Wang, Chen Yang, Weijun Tong, Li Xia, Songnian Fu, Ming Tang, Deming Liu:
Ultra-Low Crosstalk Fused Taper Type Fan-In/Fan-Out Devices for Multicore Fibers. OFC 2019: 1-3 - [i1]Jiajun Zhou, Zhi Chen, Min Du, Lihong Chen, Shanqing Yu, Feifei Li, Guanrong Chen, Qi Xuan:
Adversarial Enhancement for Community Detection in Complex Networks. CoRR abs/1911.01670 (2019) - 2018
- [j6]Jiajun Zhou, Bo Liu, Lu Deng, Yaofeng Chen, Zhefeng Xiao:
On Random Walk Based Weighted Graph Sampling. IEICE Trans. Inf. Syst. 101-D(2): 535-538 (2018) - [j5]Jiajun Zhou, Xifan Yao, Yingzi Lin, Felix T. S. Chan, Yun Li:
An adaptive multi-population differential artificial bee colony algorithm for many-objective service composition in cloud manufacturing. Inf. Sci. 456: 50-82 (2018) - 2017
- [j4]Jiajun Zhou, Xifan Yao:
Multi-objective hybrid artificial bee colony algorithm enhanced with Lévy flight and self-adaption for cloud manufacturing service composition. Appl. Intell. 47(3): 721-742 (2017) - [j3]Jiajun Zhou, Xifan Yao:
Multi-population parallel self-adaptive differential artificial bee colony algorithm with application in large-scale service composition for cloud manufacturing. Appl. Soft Comput. 56: 379-397 (2017) - [j2]Jiajun Zhou, Xifan Yao:
A hybrid approach combining modified artificial bee colony and cuckoo search algorithms for multi-objective cloud manufacturing service composition. Int. J. Prod. Res. 55(16): 4765-4784 (2017) - [j1]Yong Li, Bin Yong, Peter van Oosterom, Mathias Lemmens, Huayi Wu, Liliang Ren, Mingxue Zheng, Jiajun Zhou:
Airborne LiDAR Data Filtering Based on Geodesic Transformations of Mathematical Morphology. Remote. Sens. 9(11): 1104 (2017) - [c3]Jiajun Zhou, Xifan Yao, Jianming Zhang:
Big Data in Wisdom Manufacturing for Industry 4.0. ES 2017: 107-112 - [c2]Xifan Yao, Jiajun Zhou, Jiangming Zhang, Claudio Roberto Boër:
From Intelligent Manufacturing to Smart Manufacturing for Industry 4.0 Driven by Next Generation Artificial Intelligence and Further On. ES 2017: 311-318 - [c1]Jiangming Zhang, Xifan Yao, Jiajun Zhou, Jingfa Jiang, Xinzhun Chen:
Self-Organizing Manufacturing: Current Status and Prospect for Industry 4.0. ES 2017: 319-326
Coauthor Index
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