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Gang Huang 0004
Person information
- affiliation: Zhejiang Lab, Hangzhou, Zhejiang, China
- affiliation (PhD 2018): Zhejiang University, Hangzhou, China
- affiliation (2015-2016): Argonne National Laboratory, Argonne, IL, USA
Other persons with the same name
- Gang Huang — disambiguation page
- Gang Huang 0001 — Peking University, School of Electronics Engineering and Computer Science, Beijing, China
- Gang Huang 0002 — Shanghai University of Medicine and Health Sciences, Shanghai, China
- Gang Huang 0003 — Nokia Bell Labs, Murray Hill, NJ, USA
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2020 – today
- 2024
- [j12]Yongxin Zhu, Yongfu Li, Ao Jiao, Longwang Huang, Gang Huang, Wei Hua, Defeng He, Shengbo Eben Li, Xinbo Gao:
Hierarchical Control of Connected Vehicle Platoon by Simultaneously Considering the Vehicle Kinematics and Dynamics. IEEE Trans. Intell. Veh. 9(1): 1333-1345 (2024) - [j11]Junqin Huang, Linghe Kong, Long Cheng, Hong-Ning Dai, Meikang Qiu, Guihai Chen, Xue (Steve) Liu, Gang Huang:
BlockSense: Towards Trustworthy Mobile Crowdsensing via Proof-of-Data Blockchain. IEEE Trans. Mob. Comput. 23(2): 1016-1033 (2024) - [j10]Junqin Huang, Linghe Kong, Jingwei Wang, Guihai Chen, Jianhua Gao, Gang Huang, Muhammad Khurram Khan:
Secure Data Sharing over Vehicular Networks Based on Multi-sharding Blockchain. ACM Trans. Sens. Networks 20(2): 31:1-31:23 (2024) - [c3]Junqin Huang, Linghe Kong, Guanjie Cheng, Qiao Xiang, Guihai Chen, Gang Huang, Xue Liu:
Advancing Web 3.0: Making Smart Contracts Smarter on Blockchain. WWW 2024: 1549-1560 - 2023
- [j9]Zhou Zhou, Mitra Baratchi, Gangquan Si, Holger H. Hoos, Gang Huang:
Adaptive error bounded piecewise linear approximation for time-series representation. Eng. Appl. Artif. Intell. 126: 106892 (2023) - [j8]Yalu Bai, Dan Wang, Gang Huang, Bin Song:
A Deep-Reinforcement-Learning-Based Social-Aware Cooperative Caching Scheme in D2D Communication Networks. IEEE Internet Things J. 10(11): 9634-9645 (2023) - [j7]Dan Wang, Yalu Bai, Gang Huang, Bin Song, F. Richard Yu:
Cache-Aided MEC for IoT: Resource Allocation Using Deep Graph Reinforcement Learning. IEEE Internet Things J. 10(13): 11486-11496 (2023) - [j6]Zhou Zhou, Gang Huang, Zhaoxin Su, Yongfu Li, Wei Hua:
Dynamic Attention-Based CVAE-GAN for Pedestrian Trajectory Prediction. IEEE Robotics Autom. Lett. 8(2): 704-711 (2023) - [j5]Yaru Liu, Hongcheng Li, Gang Huang, Wei Hua:
OPUPO: Defending Against Membership Inference Attacks With Order-Preserving and Utility-Preserving Obfuscation. IEEE Trans. Dependable Secur. Comput. 20(6): 4690-4701 (2023) - [j4]Gang Huang, Zhou Zhou, Fei Wu, Wei Hua:
Physics-Informed Time-Aware Neural Networks for Industrial Nonintrusive Load Monitoring. IEEE Trans. Ind. Informatics 19(6): 7312-7322 (2023) - [j3]Yongxin Zhu, Yongfu Li, Hao Zhu, Wei Hua, Gang Huang, Shuyou Yu, Shengbo Eben Li, Xinbo Gao:
Joint Sliding-Mode Controller and Observer for Vehicle Platoon Subject to Disturbance and Acceleration Failure of Neighboring Vehicles. IEEE Trans. Intell. Veh. 8(3): 2345-2357 (2023) - 2022
- [j2]Gang Huang, Fei Wu, Chuangxin Guo:
Smart grid dispatch powered by deep learning: a survey. Frontiers Inf. Technol. Electron. Eng. 23(5): 763-776 (2022) - 2021
- [c2]Ningyu Zhang, Qianghuai Jia, Shumin Deng, Xiang Chen, Hongbin Ye, Hui Chen, Huaixiao Tou, Gang Huang, Zhao Wang, Nengwei Hua, Huajun Chen:
AliCG: Fine-grained and Evolvable Conceptual Graph Construction for Semantic Search at Alibaba. KDD 2021: 3895-3905 - [i3]Ningyu Zhang, Qianghuai Jia, Shumin Deng, Xiang Chen, Hongbin Ye, Hui Chen, Huaixiao Tou, Gang Huang, Zhao Wang, Nengwei Hua, Huajun Chen:
AliCG: Fine-grained and Evolvable Conceptual Graph Construction for Semantic Search at Alibaba. CoRR abs/2106.01686 (2021) - 2020
- [i2]Tao Shen, Jie Zhang, Xinkang Jia, Fengda Zhang, Gang Huang, Pan Zhou, Fei Wu, Chao Wu:
Federated Mutual Learning. CoRR abs/2006.16765 (2020)
2010 – 2019
- 2019
- [j1]Gang Huang, Jianhui Wang, Chen Chen, Chuangxin Guo:
Cyber-Constrained Optimal Power Flow Model for Smart Grid Resilience Enhancement. IEEE Trans. Smart Grid 10(5): 5547-5555 (2019) - [c1]Lifeng Liu, Yifan Hu, Jiawei Yu, Fengda Zhang, Gang Huang, Jun Xiao, Chao Wu:
Training Encrypted Models with Privacy-preserved Data on Blockchain. ICVISP 2019: 29:1-29:6 - [i1]Chao Wu, Jun Xiao, Gang Huang, Fei Wu:
Galaxy Learning - A Position Paper. CoRR abs/1905.00753 (2019)
Coauthor Index
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last updated on 2024-07-27 19:25 CEST by the dblp team
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