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2020 – today
- 2025
[j59]Ying Qiao, Shuyang Teng, Juan Luo, Peng Sun, Fan Li, Fengxiao Tang:
On-Orbit DNN Distributed Inference for Remote Sensing Images in Satellite Internet of Things. IEEE Internet Things J. 12(5): 5687-5703 (2025)- [j58]Yi Xu
, Zhigang Chen, Ming Zhao, Fengxiao Tang, Yangfan Li, Jiaqi Liu, Nei Kato:
UVtrack: Multi-Modal Indoor Seamless Localization Using Ultra-Wideband Communication and Vision Sensors. IEEE Open J. Comput. Soc. 6: 272-281 (2025) - [j57]Yangfan Li, Mengquan Li, Cen Chen, Xiaofeng Zou, Hongen Shao, Fengxiao Tang, Kenli Li:
SimDiff: Point Cloud Acceleration by Utilizing Spatial Similarity and Differential Execution. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 44(2): 568-581 (2025) - [j56]Jingjing Tan, Fengxiao Tang, Ming Zhao, Nei Kato:
Outage Probability, Performance, and Fairness Analysis of Space-Air-Ground Integrated Network (SAGIN): UAV Altitude and Position Angle. IEEE Trans. Wirel. Commun. 24(2): 940-954 (2025) - [i11]Tiao Tan, Fengxiao Tang, Ming Zhao:
Adapting Network Information to Semantics for Generalizable and Plug-and-Play Multi-Scenario Network Diagnosis. CoRR abs/2501.16842 (2025) - 2024
- [j55]Sohaib Asif, Xinyi Xu, Ming Zhao, Xuehan Chen, Fengxiao Tang, Yusen Zhu:
ResMFuse-Net: Residual-based multilevel fused network with spatial-temporal features for hand hygiene monitoring. Appl. Intell. 54(4): 3606-3628 (2024) - [j54]Omair Bilal, Sohaib Asif, Ming Zhao, Yangfan Li, Fengxiao Tang, Yusen Zhu:
Differential evolution optimization based ensemble framework for accurate cervical cancer diagnosis. Appl. Soft Comput. 167: 112366 (2024) - [j53]Sohaib Asif, Ming Zhao, Fengxiao Tang, Yusen Zhu:
DCDS-Net: Deep transfer network based on depth-wise separable convolution with residual connection for diagnosing gastrointestinal diseases. Biomed. Signal Process. Control. 90: 105866 (2024) - [j52]Xuehan Chen, Jingjing Tan, Litian Kang, Fengxiao Tang, Ming Zhao, Nei Kato:
Frequency Selective Surface Toward 6G Communication Systems: A Contemporary Survey. IEEE Commun. Surv. Tutorials 26(3): 1635-1675 (2024) - [j51]Xunhua Dai, Zhiyu Lu, Xuehan Chen, Xinyi Xu, Fengxiao Tang:
Multiagent RL-Based Joint Trajectory Scheduling and Resource Allocation in NOMA-Assisted UAV Swarm Network. IEEE Internet Things J. 11(8): 14153-14167 (2024) - [j50]Zhiqi Guo, Fengxiao Tang, Xuehan Chen, Linfeng Luo, Ming Zhao:
Deep-Reinforcement-Learning-Based Content Caching in Satellite-Terrestrial Assisted Airborne Communications. IEEE Internet Things J. 11(12): 22779-22789 (2024) - [j49]Sohaib Asif, Ming Zhao, Fengxiao Tang, Yusen Zhu:
LWSE: a lightweight stacked ensemble model for accurate detection of multiple chest infectious diseases including COVID-19. Multim. Tools Appl. 83(8): 23967-24003 (2024) - [j48]Xuehan Chen, Linfeng Luo, Fengxiao Tang, Ming Zhao, Nei Kato:
AIGC-Based Evolvable Digital Twin Networks: A Road to the Intelligent Metaverse. IEEE Netw. 38(6): 370-379 (2024) - [j47]Sohaib Asif, Ming Zhao, Yangfan Li, Fengxiao Tang, Yusen Zhu:
CGO-ensemble: Chaos game optimization algorithm-based fusion of deep neural networks for accurate Mpox detection. Neural Networks 173: 106183 (2024) - [j46]Sohaib Asif, Ming Zhao, Yangfan Li, Fengxiao Tang, Yusen Zhu:
CFI-Net: A Choquet Fuzzy Integral Based Ensemble Network With PSO-Optimized Fuzzy Measures for Diagnosing Multiple Skin Diseases Including Mpox. IEEE J. Biomed. Health Informatics 28(9): 5573-5586 (2024) - [j45]Yeguang Qin, Yilin Yang, Fengxiao Tang, Xin Yao, Ming Zhao, Nei Kato:
Differentiated Federated Reinforcement Learning Based Traffic Offloading on Space-Air-Ground Integrated Networks. IEEE Trans. Mob. Comput. 23(12): 11000-11013 (2024) - [j44]Xun Yuan, Fengxiao Tang, Ming Zhao, Nei Kato:
Joint Rate and Coverage Optimization for the THz/RF Multi-Band Communications of Space-Air-Ground Integrated Network in 6G. IEEE Trans. Wirel. Commun. 23(6): 6669-6682 (2024) - [j43]Qi Guo, Fengxiao Tang, Tiago Koketsu Rodrigues, Nei Kato:
Five Disruptive Technologies in 6G to Support Digital Twin Networks. IEEE Wirel. Commun. 31(1): 149-155 (2024) - [c14]Qianghao Shang, Xuehan Chen, Fengxiao Tang, Xiaoru Cai, Ming Zhao:
Nash Equilibrium-Based Spectrum Pricing and Allocation in Satellite-Terrestrial Network. ICC Workshops 2024: 1901-1906 - [i10]Sifan Long, Fengxiao Tang, Yangfan Li, Tiao Tan, Zhengjie Jin, Ming Zhao, Nei Kato:
6G comprehensive intelligence: network operations and optimization based on Large Language Models. CoRR abs/2404.18373 (2024) - [i9]Fengxiao Tang, Xiaonan Wang, Xun Yuan, Linfeng Luo, Ming Zhao, Nei Kato:
Large Language Model(LLM) assisted End-to-End Network Health Management based on Multi-Scale Semanticization. CoRR abs/2406.08305 (2024) - [i8]Linfeng Luo, Fengxiao Tang, Xiyu Liu, Zhiqi Guo, Zihao Qiu, Ming Zhao:
Federated Hypergraph Learning with Hyperedge Completion. CoRR abs/2408.05160 (2024) - [i7]Zongzong Wu, Fengxiao Tang, Ming Zhao, Yufeng Li:
KGV: Integrating Large Language Models with Knowledge Graphs for Cyber Threat Intelligence Credibility Assessment. CoRR abs/2408.08088 (2024) - 2023
- [j42]Jingjing Tan, Xunhua Dai, Fengxiao Tang, Ming Zhao, Nei Kato:
Intelligent Configuration Method Based on UAV-Driven Frequency Selective Surface for Communication Band Shielding. IEEE Internet Things J. 10(13): 11507-11517 (2023) - [j41]Qi Guo, Fengxiao Tang, Nei Kato:
Resource Allocation for Aerial Assisted Digital Twin Edge Mobile Network. IEEE J. Sel. Areas Commun. 41(10): 3070-3079 (2023) - [j40]Sohaib Asif, Ming Zhao, Fengxiao Tang, Yusen Zhu:
An enhanced deep learning method for multi-class brain tumor classification using deep transfer learning. Multim. Tools Appl. 82(20): 31709-31736 (2023) - [j39]Fengxiao Tang, Cong Wen, Xuehan Chen, Nei Kato:
Federated Learning for Intelligent Transmission with Space-Air-Ground Integrated Network toward 6G. IEEE Netw. 37(2): 198-204 (2023) - [j38]Qi Guo, Fengxiao Tang, Nei Kato:
Federated Reinforcement Learning-Based Resource Allocation in D2D-Enabled 6G. IEEE Netw. 37(5): 89-95 (2023) - [j37]Sohaib Asif, Ming Zhao, Fengxiao Tang, Yusen Zhu, Baokang Zhao:
Metaheuristics optimization-based ensemble of deep neural networks for Mpox disease detection. Neural Networks 167: 342-359 (2023) - [j36]Zhibo Li, Yurong Qian, Fengxiao Tang, Ming Zhao, Yusen Zhu:
H-BILSTM: A Novel Bidirectional Long Short Term Memory Network Based Intelligent Early Warning Scheme in Mobile Edge Computing (MEC). IEEE Trans. Emerg. Top. Comput. 11(1): 253-264 (2023) - [j35]Xiaoheng Deng, Jiahao Zhao, Zhufang Kuang, Xuechen Chen, Qi Guo, Fengxiao Tang:
Computation Efficiency Maximization in Multi-UAV-Enabled Mobile Edge Computing Systems Based on 3D Deployment Optimization. IEEE Trans. Emerg. Top. Comput. 11(3): 778-790 (2023) - [j34]Qi Guo, Fengxiao Tang, Nei Kato:
Federated Reinforcement Learning-Based Resource Allocation for D2D-Aided Digital Twin Edge Networks in 6G Industrial IoT. IEEE Trans. Ind. Informatics 19(5): 7228-7236 (2023) - [j33]Jingjing Tan, Fengxiao Tang, Ming Zhao, Yusen Zhu:
Adaptive Caching Scheme for Jointly Optimizing Delay and Energy Consumption in Heterogeneous Digital Twin IoT. IEEE Trans. Netw. Sci. Eng. 10(6): 4020-4032 (2023) - [j32]Fengxiao Tang, Xuehan Chen, Ming Zhao, Nei Kato:
The Roadmap of Communication and Networking in 6G for the Metaverse. IEEE Wirel. Commun. 30(4): 72-81 (2023) - [c13]Qi Guo, Fengxiao Tang, Nei Kato:
Hybrid Routing in FSO/RF Space-Air-Ground Integrated Network. GLOBECOM 2023: 6585-6590 - [c12]Jingjing Tan, Fengxiao Tang, Ming Zhao, Nei Kato:
Performance Analysis of Space-Air-Ground Integrated Network (SAGIN): UAV Altitude and Position Angle. ICCC 2023: 1-6 - [c11]Xin Yao, Yu Zhan, Yimin Chen, Fengxiao Tang, Ming Zhao, Enlang Li, Yanchao Zhang:
DUO: Stealthy Adversarial Example Attack on Video Retrieval Systems via Frame-Pixel Search. ICDCS 2023: 1-11 - [c10]Qi Guo, Nei Kato, Fengxiao Tang:
Energy Efficient Routing for Fso-Rf Space-Air-Ground Integrated Network: A Deep Reinforcement Learning Approach. IC-NIDC 2023: 254-258 - [c9]Zaijing Li, Ting-En Lin, Yuchuan Wu, Meng Liu, Fengxiao Tang, Ming Zhao, Yongbin Li:
UniSA: Unified Generative Framework for Sentiment Analysis. ACM Multimedia 2023: 6132-6142 - [i6]Zaijing Li, Ting-En Lin, Yuchuan Wu, Meng Liu, Fengxiao Tang, Ming Zhao, Yongbin Li:
UniSA: Unified Generative Framework for Sentiment Analysis. CoRR abs/2309.01339 (2023) - 2022
- [j31]Bomin Mao, Fengxiao Tang, Yuichi Kawamoto, Nei Kato:
AI Models for Green Communications Towards 6G. IEEE Commun. Surv. Tutorials 24(1): 210-247 (2022) - [j30]Fengxiao Tang, Hans Hofner, Nei Kato, Kazuma Kaneko, Yasutaka Yamashita, Masatake Hangai:
A Deep Reinforcement Learning-Based Dynamic Traffic Offloading in Space-Air-Ground Integrated Networks (SAGIN). IEEE J. Sel. Areas Commun. 40(1): 276-289 (2022) - [j29]Fengxiao Tang, Cong Wen, Linfeng Luo, Ming Zhao, Nei Kato:
Blockchain-Based Trusted Traffic Offloading in Space-Air-Ground Integrated Networks (SAGIN): A Federated Reinforcement Learning Approach. IEEE J. Sel. Areas Commun. 40(12): 3501-3516 (2022) - [j28]Sohaib Asif, Ming Zhao, Fengxiao Tang, Yusen Zhu:
A deep learning-based framework for detecting COVID-19 patients using chest X-rays. Multim. Syst. 28(4): 1495-1513 (2022) - [j27]Fengxiao Tang, Xuehan Chen, Tiago Koketsu Rodrigues, Ming Zhao, Nei Kato:
Survey on Digital Twin Edge Networks (DITEN) Toward 6G. IEEE Open J. Commun. Soc. 3: 1360-1381 (2022) - [j26]Ming Zhao, Jiahua Li, Fengxiao Tang, Sohaib Asif, Yusen Zhu:
Learning Based Massive Data Offloading in the IoV: Routing Based on Pre-RLGA. IEEE Trans. Netw. Sci. Eng. 9(4): 2330-2340 (2022) - [j25]Fengxiao Tang, Cong Wen, Ming Zhao, Nei Kato:
Machine Learning for Space-Air-Ground Integrated Network Assisted Vehicular Network: A Novel Network Architecture for Vehicles. IEEE Veh. Technol. Mag. 17(3): 34-44 (2022) - [c8]Zaijing Li, Fengxiao Tang, Ming Zhao, Yusen Zhu:
EmoCaps: Emotion Capsule based Model for Conversational Emotion Recognition. ACL (Findings) 2022: 1610-1618 - [c7]Ming Zhao, Yixiang Li, Sohaib Asif, Yusen Zhu, Fengxiao Tang:
C-LSTM: CNN and LSTM Based Offloading Prediction Model in Mobile Edge Computing (MEC). HPSR 2022: 245-251 - [c6]Yeguang Qin, Fengxiao Tang, Ming Zhao, Yusen Zhu:
AFFSRN: Attention-Based Feature Fusion Super-Resolution Network. ICONIP (4) 2022: 142-152 - [c5]Yeguang Qin, Palidan Tuerxun, Fengxiao Tang, Yurong Qian, Ming Zhao, Yusen Zhu:
Feature Fusion Super Resolution Network with Gradient Guidance. ICPR 2022: 147-153 - [i5]Zaijing Li, Fengxiao Tang, Ming Zhao, Yusen Zhu:
EmoCaps: Emotion Capsule based Model for Conversational Emotion Recognition. CoRR abs/2203.13504 (2022) - [i4]Fengxiao Tang, Yilin Yang, Xin Yao, Ming Zhao, Nei Kato:
Differentiated Federated Reinforcement Learning for Dynamic and Heterogeneous Network. CoRR abs/2212.02075 (2022) - 2021
- [j24]Fengxiao Tang, Bomin Mao, Yuichi Kawamoto, Nei Kato:
Survey on Machine Learning for Intelligent End-to-End Communication Toward 6G: From Network Access, Routing to Traffic Control and Streaming Adaption. IEEE Commun. Surv. Tutorials 23(3): 1578-1598 (2021) - [j23]Fengxiao Tang, Bomin Mao, Nei Kato, Guan Gui:
Comprehensive Survey on Machine Learning in Vehicular Network: Technology, Applications and Challenges. IEEE Commun. Surv. Tutorials 23(3): 2027-2057 (2021) - [j22]Bomin Mao, Fengxiao Tang, Yuichi Kawamoto, Nei Kato:
Optimizing Computation Offloading in Satellite-UAV-Served 6G IoT: A Deep Learning Approach. IEEE Netw. 35(4): 102-108 (2021) - [j21]Bomin Mao, Fengxiao Tang, Zubair Md. Fadlullah, Nei Kato:
An Intelligent Route Computation Approach Based on Real-Time Deep Learning Strategy for Software Defined Communication Systems. IEEE Trans. Emerg. Top. Comput. 9(3): 1554-1565 (2021) - [c4]Zaijing Li, Fengxiao Tang, Tieyu Sun, Yusen Zhu, Ming Zhao:
SEOVER: Sentence-Level Emotion Orientation Vector Based Conversation Emotion Recognition Model. ICONIP (6) 2021: 468-475 - [i3]Bomin Mao, Fengxiao Tang, Yuichi Kawamoto, Nei Kato:
AI based Service Management for 6G Green Communications. CoRR abs/2101.01588 (2021) - [i2]Zaijing Li, Fengxiao Tang, Tieyu Sun, Yusen Zhu, Ming Zhao:
SEOVER: Sentence-level Emotion Orientation Vector based Conversation Emotion Recognition Model. CoRR abs/2106.08785 (2021) - 2020
- [j20]Fengxiao Tang, Yibo Zhou, Nei Kato:
Deep Reinforcement Learning for Dynamic Uplink/Downlink Resource Allocation in High Mobility 5G HetNet. IEEE J. Sel. Areas Commun. 38(12): 2773-2782 (2020) - [j19]Fengxiao Tang, Yuichi Kawamoto, Nei Kato, Kazuto Yano, Yoshinori Suzuki:
Probe Delay Based Adaptive Port Scanning for IoT Devices with Private IP Address Behind NAT. IEEE Netw. 34(2): 195-201 (2020) - [j18]Fengxiao Tang, Yuichi Kawamoto, Nei Kato, Jiajia Liu:
Future Intelligent and Secure Vehicular Network Toward 6G: Machine-Learning Approaches. Proc. IEEE 108(2): 292-307 (2020) - [j17]Fengxiao Tang, Bomin Mao, Zubair Md. Fadlullah, Jiajia Liu, Nei Kato:
ST-DeLTA: A Novel Spatial-Temporal Value Network Aided Deep Learning Based Intelligent Network Traffic Control System. IEEE Trans. Sustain. Comput. 5(4): 568-580 (2020) - [j16]Nei Kato, Bomin Mao, Fengxiao Tang, Yuichi Kawamoto, Jiajia Liu:
Ten Challenges in Advancing Machine Learning Technologies toward 6G. IEEE Wirel. Commun. 27(3): 96-103 (2020) - [j15]Guan Gui, Miao Liu, Fengxiao Tang, Nei Kato, Fumiyuki Adachi:
6G: Opening New Horizons for Integration of Comfort, Security, and Intelligence. IEEE Wirel. Commun. 27(5): 126-132 (2020) - [j14]Yibo Zhou, Fengxiao Tang, Yuichi Kawamoto, Nei Kato:
Reinforcement Learning-Based Radio Resource Control in 5G Vehicular Network. IEEE Wirel. Commun. Lett. 9(5): 611-614 (2020)
2010 – 2019
- 2019
- [j13]Zubair Md. Fadlullah, Bomin Mao, Fengxiao Tang, Nei Kato:
Value Iteration Architecture Based Deep Learning for Intelligent Routing Exploiting Heterogeneous Computing Platforms. IEEE Trans. Computers 68(6): 939-950 (2019) - [j12]Bomin Mao, Fengxiao Tang, Zubair Md. Fadlullah, Nei Kato:
An Absorbing Markov Chain Based Model to Solve Computation and Communication Tradeoff in GPU-Accelerated MDRUs for Safety Confirmation in Disaster Scenarios. IEEE Trans. Computers 68(9): 1256-1268 (2019) - [j11]Fengxiao Tang, Zubair Md. Fadlullah, Bomin Mao, Nei Kato, Fumie Ono, Ryu Miura:
On A Novel Adaptive UAV-Mounted Cloudlet-Aided Recommendation System for LBSNs. IEEE Trans. Emerg. Top. Comput. 7(4): 565-577 (2019) - [j10]Nei Kato, Zubair Md. Fadlullah, Fengxiao Tang, Bomin Mao, Shigenori Tani, Atsushi Okamura, Jiajia Liu:
Optimizing Space-Air-Ground Integrated Networks by Artificial Intelligence. IEEE Wirel. Commun. 26(4): 140-147 (2019) - [c3]Bomin Mao, Fengxiao Tang, Zubair Md. Fadlullah, Nei Kato:
An Intelligent Packet Forwarding Approach for Disaster Recovery Networks. ICC 2019: 1-6 - 2018
- [j9]Fengxiao Tang, Bomin Mao, Zubair Md. Fadlullah, Nei Kato:
On a Novel Deep-Learning-Based Intelligent Partially Overlapping Channel Assignment in SDN-IoT. IEEE Commun. Mag. 56(9): 80-86 (2018) - [j8]Zubair Md. Fadlullah, Fengxiao Tang, Bomin Mao, Jiajia Liu, Nei Kato:
On Intelligent Traffic Control for Large-Scale Heterogeneous Networks: A Value Matrix-Based Deep Learning Approach. IEEE Commun. Lett. 22(12): 2479-2482 (2018) - [j7]Fengxiao Tang, Zubair Md. Fadlullah, Bomin Mao, Nei Kato:
An Intelligent Traffic Load Prediction-Based Adaptive Channel Assignment Algorithm in SDN-IoT: A Deep Learning Approach. IEEE Internet Things J. 5(6): 5141-5154 (2018) - [j6]Fengxiao Tang, Zubair Md. Fadlullah, Nei Kato, Fumie Ono, Ryu Miura:
AC-POCA: Anticoordination Game Based Partially Overlapping Channels Assignment in Combined UAV and D2D-Based Networks. IEEE Trans. Veh. Technol. 67(2): 1672-1683 (2018) - [j5]Fengxiao Tang, Bomin Mao, Zubair Md. Fadlullah, Nei Kato, Osamu Akashi, Takeru Inoue, Kimihiro Mizutani:
On Removing Routing Protocol from Future Wireless Networks: A Real-time Deep Learning Approach for Intelligent Traffic Control. IEEE Wirel. Commun. 25(1): 154-160 (2018) - [j4]Bomin Mao, Fengxiao Tang, Zubair Md. Fadlullah, Nei Kato, Osamu Akashi, Takeru Inoue, Kimihiro Mizutani:
A Novel Non-Supervised Deep-Learning-Based Network Traffic Control Method for Software Defined Wireless Networks. IEEE Wirel. Commun. 25(4): 74-81 (2018) - [c2]Fengxiao Tang, Bomin Mao, Zubair Md. Fadlullah, Nei Kato:
Deep Spatiotemporal Partially Overlapping Channel Allocation: Joint CNN and Activity Vector Approach. GLOBECOM 2018: 1-6 - [i1]Nei Kato, Zubair Md. Fadlullah, Fengxiao Tang, Bomin Mao, Shigenori Tani, Atsushi Okamura, Jiajia Liu:
Optimizing Space-Air-Ground Integrated Networks by Artificial Intelligence. CoRR abs/1808.01053 (2018) - 2017
- [j3]Zubair Md. Fadlullah, Fengxiao Tang, Bomin Mao, Nei Kato, Osamu Akashi, Takeru Inoue, Kimihiro Mizutani:
State-of-the-Art Deep Learning: Evolving Machine Intelligence Toward Tomorrow's Intelligent Network Traffic Control Systems. IEEE Commun. Surv. Tutorials 19(4): 2432-2455 (2017) - [j2]Bomin Mao, Zubair Md. Fadlullah, Fengxiao Tang, Nei Kato, Osamu Akashi, Takeru Inoue, Kimihiro Mizutani:
Routing or Computing? The Paradigm Shift Towards Intelligent Computer Network Packet Transmission Based on Deep Learning. IEEE Trans. Computers 66(11): 1946-1960 (2017) - [j1]Nei Kato, Zubair Md. Fadlullah, Bomin Mao, Fengxiao Tang, Osamu Akashi, Takeru Inoue, Kimihiro Mizutani:
The Deep Learning Vision for Heterogeneous Network Traffic Control: Proposal, Challenges, and Future Perspective. IEEE Wirel. Commun. 24(3): 146-153 (2017) - [c1]Bomin Mao, Zubair Md. Fadlullah, Fengxiao Tang, Nei Kato, Osamu Akashi, Takeru Inoue, Kimihiro Mizutani:
A Tensor Based Deep Learning Technique for Intelligent Packet Routing. GLOBECOM 2017: 1-6
Coauthor Index
[j58] [j56] [j52] [j48] [j45] [j44] [j43] [i10] [i9] [j42] [j41] [j39] [j38] [j34] [j32] [c13] [c12] [c10] [j31] [j30] [j29] [j27] [j25] [i4] [j24] [j23] [j22] [j21] [i3] [j20] [j19] [j18] [j17] [j16] [j15] [j14] [j13] [j12] [j11] [j10] [c3] [j9] [j8] [j7] [j6] [j5] [j4] [c2] [i1] [j3] [j2] [j1] [c1]
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