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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j26]Jin Shang
, Guiying Li, Hao Hao, Yufang Zhang:
Efficient Surrogate Model Assisted Estimation of Distribution Algorithm for Expensive Optimization. IEEE Access 12: 78248-78260 (2024)- [j25]Hao Hao, Xiaoqun Zhang, Aimin Zhou:
Enhancing SAEAs with unevaluated solutions: a case study of relation model for expensive optimization. Sci. China Inf. Sci. 67(2) (2024) - [j24]Yan Zhang, Xiao He, Shuanhu Gao, Aimin Zhou, Hao Hao:
Evolutionary Retrosynthetic Route Planning [Research Frontier]. IEEE Comput. Intell. Mag. 19(3): 58-72 (2024) - [j23]Wei Zhang, Haoxiang Chu, Hao Hao:
Proactive Caching Strategy Based on Queueing Theory in F-RAN. J. Inf. Sci. Eng. 40(2): 421-433 (2024) - [j22]Hao Hao, Wei Ding, Wei Zhang:
Time-continuous computing offloading algorithm with user fairness guarantee. J. Netw. Comput. Appl. 223: 103826 (2024) - [j21]Hao Hao, Xiaoqun Zhang, Aimin Zhou:
Large language models as surrogate models in evolutionary algorithms: A preliminary study. Swarm Evol. Comput. 91: 101741 (2024) - [j20]Shujie Yang, Chuxing Fang, Lujie Zhong, Mu Wang, Zan Zhou, Han Xiao, Hao Hao, Changqiao Xu, Gabriel-Miro Muntean:
A Novel Distributed Multi-Source Optimal Rate Control Solution for HTTP Live Video Streaming. IEEE Trans. Broadcast. 70(3): 792-807 (2024) - [j19]Hao Hao, Changqiao Xu, Wei Zhang, Shujie Yang, Gabriel-Miro Muntean:
Joint Task Offloading, Resource Allocation, and Trajectory Design for Multi-UAV Cooperative Edge Computing With Task Priority. IEEE Trans. Mob. Comput. 23(9): 8649-8663 (2024) - [c22]Hao Hao, Xiaoqun Zhang, Aimin Zhou:
Model Uncertainty in Evolutionary Optimization and Bayesian Optimization: A Comparative Analysis. CEC 2024: 1-9 - [i9]Hao Hao, Xiaoqun Zhang, Aimin Zhou:
Model Uncertainty in Evolutionary Optimization and Bayesian Optimization: A Comparative Analysis. CoRR abs/2403.14413 (2024) - [i8]Hao Hao, Xiaoqun Zhang, Bingdong Li, Aimin Zhou:
A First Look at Kolmogorov-Arnold Networks in Surrogate-assisted Evolutionary Algorithms. CoRR abs/2405.16494 (2024) - [i7]Hao Hao, Xiaoqun Zhang, Aimin Zhou:
Large Language Models as Surrogate Models in Evolutionary Algorithms: A Preliminary Study. CoRR abs/2406.10675 (2024) - [i6]Bingdong Li, Zixiang Di, Yanting Yang, Hong Qian, Peng Yang, Hao Hao, Ke Tang, Aimin Zhou:
It's Morphing Time: Unleashing the Potential of Multiple LLMs via Multi-objective Optimization. CoRR abs/2407.00487 (2024) - 2023
- [j18]Qianyu Li, Miao Hu, Hao Hao, Min Zhang, Yang Li:
INNES: An intelligent network penetration testing model based on deep reinforcement learning. Appl. Intell. 53(22): 27110-27127 (2023) - [j17]Qianyu Li, Min Zhang, Yi Shen, Ruipeng Wang, Miao Hu, Yang Li, Hao Hao:
A hierarchical deep reinforcement learning model with expert prior knowledge for intelligent penetration testing. Comput. Secur. 132: 103358 (2023) - [j16]Dongna Cai, Hao Hao, Xinyu Hu, Boyuan Wang:
Interactive projection information generation and feedback for reading behaviour. J. Comput. Methods Sci. Eng. 23(4): 2009-2030 (2023) - [j15]Hao Hao, Changqiao Xu, Wei Zhang, Shujie Yang, Gabriel-Miro Muntean:
Computing Offloading With Fairness Guarantee: A Deep Reinforcement Learning Method. IEEE Trans. Circuits Syst. Video Technol. 33(10): 6117-6130 (2023) - [j14]Zihan Wang, Bochao Mao, Hao Hao, Wenjing Hong, Chunyun Xiao, Aimin Zhou:
Enhancing Diversity by Local Subset Selection in Evolutionary Multiobjective Optimization. IEEE Trans. Evol. Comput. 27(5): 1456-1469 (2023) - [c21]Ye Zhang, Wei Zhang, Hao Hao, Kai Zhang:
Cluster Caching Strategy Based on User Characteristics in Edge Networks. APNOMS 2023: 36-41 - [c20]Yilin Ding, Zhen Liu, Hao Hao:
Self-supervised Learning and Graph Classification under Heterophily. CIKM 2023: 3849-3853 - [c19]Hao Hao, Aimin Zhou:
A Relation Surrogate Model for Expensive Multiobjective Continuous and Combinatorial Optimization. EMO 2023: 205-217 - [c18]Yilin Ding, Zhen Liu, Hao Hao:
Self-supervised Learning on Graphs at Node and Graph Level. FAIML 2023: 108-111 - [i5]Yilin Ding, Zhen Liu, Hao Hao:
Self-supervised Learning and Graph Classification under Heterophily. CoRR abs/2306.08469 (2023) - [i4]Hao Hao, Xiaoqun Zhang, Aimin Zhou:
Enhancing SAEAs with Unevaluated Solutions: A Case Study of Relation Model for Expensive Optimization. CoRR abs/2309.11994 (2023) - [i3]Yan Zhang, Hao Hao, Xiao He, Shuanhu Gao, Aimin Zhou:
Evolutionary Retrosynthetic Route Planning. CoRR abs/2310.05186 (2023) - 2022
- [j13]Feng Zhao, Hao Hao, Hanqiang Liu:
Robust intuitionistic fuzzy clustering with bias field estimation for noisy image segmentation. Intell. Data Anal. 26(5): 1403-1426 (2022) - [j12]Yang Zhang, Yanjun Zhou, Hehua Li, Hao Hao, Weijiong Chen, Weiwei Zhang:
The Navigation System of a Logistics Inspection Robot Based on Multi-Sensor Fusion in a Complex Storage Environment. Sensors 22(20): 7794 (2022) - [j11]Hao Hao, Aimin Zhou, Hong Qian, Hu Zhang:
Expensive Multiobjective Optimization by Relation Learning and Prediction. IEEE Trans. Evol. Comput. 26(5): 1157-1170 (2022) - [c17]Hao Hao, Shuai Wang, Bingdong Li, Aimin Zhou:
A Surrogate Model Assisted Estimation of Distribution Algorithm with Mutil-acquisition Functions for Expensive Optimization. CEC 2022: 1-8 - [i2]Maxime Gasse, Quentin Cappart, Jonas Charfreitag, Laurent Charlin, Didier Chételat, Antonia Chmiela, Justin Dumouchelle, Ambros M. Gleixner, Aleksandr M. Kazachkov, Elias B. Khalil, Pawel Lichocki, Andrea Lodi, Miles Lubin, Chris J. Maddison, Christopher Morris, Dimitri J. Papageorgiou, Augustin Parjadis, Sebastian Pokutta, Antoine Prouvost, Lara Scavuzzo, Giulia Zarpellon, Linxin Yang, Sha Lai, Akang Wang, Xiaodong Luo, Xiang Zhou, Haohan Huang, Sheng Cheng Shao, Yuanming Zhu, Dong Zhang, Tao Quan, Zixuan Cao, Yang Xu, Zhewei Huang, Shuchang Zhou, Binbin Chen, Minggui He, Hao Hao, Zhiyu Zhang, Zhiwu An, Kun Mao:
The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights. CoRR abs/2203.02433 (2022) - 2021
- [j10]Hao Hao, Ji Zhang, Qian Zhang, Li Yao, Yichen Sun:
Improved gray neural network model for healthcare waste recycling forecasting. J. Comb. Optim. 42(4): 813-830 (2021) - [j9]Hao Hao, Changqiao Xu, Shujie Yang, Lujie Zhong, Gabriel-Miro Muntean:
Multicast-aware optimization for resource allocation with edge computing and caching. J. Netw. Comput. Appl. 193: 103195 (2021) - [j8]Yanjin Cheng, Hao Hao, Shipeng Tao, Yanjun Zhou:
Traceability Management Strategy of the EV Power Battery Based on the Blockchain. Sci. Program. 2021: 5601833:1-5601833:17 (2021) - [c16]Hao Hao, Aimin Zhou, Hu Zhang:
An Approximated Domination Relationship based on Binary Classifiers for Evolutionary Multiobjective Optimization. CEC 2021: 2427-2434 - [c15]Maxime Gasse, Simon Bowly, Quentin Cappart, Jonas Charfreitag, Laurent Charlin, Didier Chételat, Antonia Chmiela, Justin Dumouchelle, Ambros M. Gleixner, Aleksandr M. Kazachkov, Elias B. Khalil, Pawel Lichocki, Andrea Lodi, Miles Lubin, Chris J. Maddison, Christopher Morris, Dimitri J. Papageorgiou, Augustin Parjadis, Sebastian Pokutta, Antoine Prouvost, Lara Scavuzzo, Giulia Zarpellon, Linxin Yang, Sha Lai, Akang Wang, Xiaodong Luo, Xiang Zhou, Haohan Huang, Sheng Cheng Shao, Yuanming Zhu, Dong Zhang, Tao Quan, Zixuan Cao, Yang Xu, Zhewei Huang, Shuchang Zhou, Binbin Chen, Minggui He, Hao Hao, Zhiyu Zhang, Zhiwu An, Kun Mao:
The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights. NeurIPS (Competition and Demos) 2021: 220-231 - [c14]Hao Hao, Xuewang Geng, Li Chen, Atsushi Shimada, Masanori Yamada:
Learning Analytics of the Relationships among Knowledge Constructions, Self-regulated Learning, and Learning Performance. TALE 2021: 290-297 - [c13]Yang Zhang, Yanjun Zhou, Hehua Li, WuYang Zhuo, Hao Hao:
UAV Detection and Identification Technology based on RF Signal. VSIP 2021: 21-24 - 2020
- [j7]Hao Hao, Jinyuan Zhang, Xiaofen Lu, Aimin Zhou:
Binary Relation Learning and Classifying for Preselection in Evolutionary Algorithms. IEEE Trans. Evol. Comput. 24(6): 1125-1139 (2020) - [j6]Hao Hao, Changqiao Xu, Lujie Zhong, Dapeng Oliver Wu:
Stochastic Cooperative Optimization for Multicast Scheduling in Heterogeneous and Green 5G Networks. IEEE Trans. Green Commun. Netw. 4(3): 903-913 (2020) - [c12]Hao Hao, Changqiao Xu, Lujie Zhong, Gabriel-Miro Muntean:
A Multi-update Deep Reinforcement Learning Algorithm for Edge Computing Service Offloading. ACM Multimedia 2020: 3256-3264
2010 – 2019
- 2019
- [j5]Mu Wang, Changqiao Xu, Xingyan Chen, Hao Hao, Lujie Zhong, Dapeng Oliver Wu:
Design of Multipath Transmission Control for Information-Centric Internet of Things: A Distributed Stochastic Optimization Framework. IEEE Internet Things J. 6(6): 9475-9488 (2019) - [j4]Mu Wang, Changqiao Xu, Xingyan Chen, Hao Hao, Lujie Zhong, Shui Yu:
Differential Privacy Oriented Distributed Online Learning for Mobile Social Video Prefetching. IEEE Trans. Multim. 21(3): 636-651 (2019) - [c11]Hao Hao, Changqiao Xu, Mu Wang, Lujie Zhong, Dapeng Oliver Wu:
Stochastic Cooperative Multicast Scheduling for Cache-Enabled and Green 5G Networks. ICC 2019: 1-6 - [c10]Wenchao Pi, Hao Hao, Shujie Yang, Yong Liao, Changqiao Xu:
RBDR: A Distributed Routing Algorithm in High Mobility UAV Network. NaNA 2019: 45-50 - 2018
- [j3]Lu Zhen, Hao Hao, Xin Shi, Lufei Huang, Yi Hu:
Task assignment and sequencing decision model under uncertain available time of service providers. J. Oper. Res. Soc. 69(12): 1935-1946 (2018) - [c9]Hao Hao, Jinyuan Zhang, Aimin Zhou:
A Comparison Study of Surrogate Model Based Preselection in Evolutionary Optimization. ICIC (2) 2018: 717-728 - [c8]Hao Hao, Changqiao Xu, Mu Wang, Haiyong Xie, Yifeng Liu, Dapeng Oliver Wu:
Knowledge-centric proactive edge caching over mobile content distribution network. INFOCOM Workshops 2018: 450-455 - [c7]Li Chen, Hirokazu Uemura, Hao Hao, Yoshiko Goda, Fumiya Okubo, Yuta Taniguchi, Misato Oi, Shin'ichi Konomi, Hiroaki Ogata, Masanori Yamada:
Relationships between Collaborative Problem Solving, Learning Performance and Learning Behavior in Science Education. TALE 2018: 17-24 - 2017
- [j2]Arathi Arakala, Stephen A. Davis, Hao Hao, Kathy J. Horadam:
Value of graph topology in vascular biometrics. IET Biom. 6(2): 117-125 (2017) - [c6]Hao Hao, Changqiao Xu, Shujie Yang, Jianfeng Guan, Yang Liu, Lujie Zhong:
BF-PDT: A New Name Lookup Mechanism in Content-Centric Networking. NaNA 2017: 69-74 - 2016
- [j1]Johannes Kotzerke, Hao Hao, Stephen A. Davis, Robert Hayes, Luuk J. Spreeuwers, Raymond N. J. Veldhuis, Kathy J. Horadam:
Identification performance of evidential value estimation for ridge-based biometrics. EURASIP J. Inf. Secur. 2016: 24 (2016) - 2015
- [c5]Arathi Arakala, Hao Hao, Stephen A. Davis, Kathy J. Horadam:
The Palm Vein Graph for Biometric Authentication. ICISSP (Revised Selected Papers) 2015: 199-218 - [c4]Arathi Arakala, Hao Hao, Stephen A. Davis, Kathy J. Horadam:
The Palm Vein Graph - Feature Extraction and Matching. ICISSP 2015: 295-303 - 2014
- [i1]E. Paul Ratazzi, Yousra Aafer, Amit Ahlawat, Hao Hao, Yifei Wang, Wenliang Du:
A Systematic Security Evaluation of Android's Multi-User Framework. CoRR abs/1410.7752 (2014) - 2013
- [c3]Hao Hao, Vicky Singh, Wenliang Du:
On the effectiveness of API-level access control using bytecode rewriting in Android. AsiaCCS 2013: 25-36 - 2011
- [c2]Tongbo Luo, Hao Hao, Wenliang Du, Yifei Wang, Heng Yin:
Attacks on WebView in the Android system. ACSAC 2011: 343-352 - [c1]Behzad Aliahmad, Dinesh K. Kumar, Samira Janghorban, Mohd Zulfaezal Che Azemin, Hao Hao, Ryo Kawasaki:
Automatic retinal vessel profiling using multi-step regression method. EMBC 2011: 2606-2609
Coauthor Index
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