Haozhao Wang

901 total citations
53 papers, 418 citations indexed

About

Haozhao Wang is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Haozhao Wang has authored 53 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Artificial Intelligence, 13 papers in Computer Networks and Communications and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Haozhao Wang's work include Privacy-Preserving Technologies in Data (23 papers), Stochastic Gradient Optimization Techniques (12 papers) and Domain Adaptation and Few-Shot Learning (7 papers). Haozhao Wang is often cited by papers focused on Privacy-Preserving Technologies in Data (23 papers), Stochastic Gradient Optimization Techniques (12 papers) and Domain Adaptation and Few-Shot Learning (7 papers). Haozhao Wang collaborates with scholars based in China, Hong Kong and Canada. Haozhao Wang's co-authors include Song Guo, Ruixuan Li, Wenchao Xu, Zhihao Qu, Baoliu Ye, Bin Tang, Yufeng Zhan, Junxiao Wang, Albert Y. Zomaya and Yi Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Chemosphere and IEEE Communications Surveys & Tutorials.

In The Last Decade

Haozhao Wang

46 papers receiving 413 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Haozhao Wang China 12 277 118 81 79 45 53 418
Xiaomin Ouyang Hong Kong 9 277 1.0× 94 0.8× 75 0.9× 134 1.7× 35 0.8× 19 425
Zhiyuan Xie Hong Kong 6 197 0.7× 64 0.5× 57 0.7× 101 1.3× 25 0.6× 8 300
Bingyan Liu China 10 233 0.8× 62 0.5× 44 0.5× 69 0.9× 53 1.2× 29 377
Renwan Bi China 8 190 0.7× 67 0.6× 60 0.7× 59 0.7× 69 1.5× 14 312
Mário Almeida United Kingdom 7 106 0.4× 204 1.7× 86 1.1× 131 1.7× 63 1.4× 11 340
Xianjin Fang China 10 183 0.7× 72 0.6× 26 0.3× 123 1.6× 41 0.9× 67 345
Tianxi Ji United States 9 210 0.8× 123 1.0× 38 0.5× 49 0.6× 94 2.1× 24 360
Karthik Kalyanaraman United States 3 234 0.8× 125 1.1× 59 0.7× 175 2.2× 80 1.8× 3 368
Santosh Pattar India 6 93 0.3× 212 1.8× 62 0.8× 68 0.9× 126 2.8× 23 363

Countries citing papers authored by Haozhao Wang

Since Specialization
Citations

This map shows the geographic impact of Haozhao Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Haozhao Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haozhao Wang more than expected).

Fields of papers citing papers by Haozhao Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Haozhao Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Haozhao Wang. The network helps show where Haozhao Wang may publish in the future.

Co-authorship network of co-authors of Haozhao Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Haozhao Wang. A scholar is included among the top collaborators of Haozhao Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Haozhao Wang. Haozhao Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Haozhao, Wenchao Xu, Hong Liu, et al.. (2025). Unleashing the Power of Continual Learning on Non-Centralized Devices: A Survey. IEEE Communications Surveys & Tutorials. 28. 1059–1098. 4 indexed citations
2.
Cheng, Nan, et al.. (2025). pFedDHPO: A Differentiable Approach for Personalized Hyperparameter Optimization in Federated Learning. IEEE Transactions on Cognitive Communications and Networking. 12. 412–426.
3.
Xu, Wenchao, et al.. (2025). Deploying Foundation Model Powered Agent Services: A Survey. IEEE Communications Surveys & Tutorials. 28. 1483–1519. 2 indexed citations
5.
Bi, Yuanguo, et al.. (2024). Knowledge-Aware Parameter Coaching for Communication-Efficient Personalized Federated Learning in Mobile Edge Computing. IEEE Transactions on Mobile Computing. 24(1). 321–337. 1 indexed citations
6.
Wu, Jing, Qimei Chen, Hao Jiang, et al.. (2024). Joint Power and Coverage Control of Massive UAVs in Post-Disaster Emergency Networks: An Aggregative Game-Theoretic Learning Approach. IEEE Transactions on Network Science and Engineering. 11(4). 3782–3799. 6 indexed citations
7.
Wan, Cheng, et al.. (2024). Sylvie: 3D-Adaptive and Universal System for Large-Scale Graph Neural Network Training. 3823–3836. 1 indexed citations
8.
Xu, Wenchao, et al.. (2024). Caching User-Generated Content in Distributed Autonomous Networks via Contextual Bandit. IEEE Transactions on Mobile Computing. 23(8). 8355–8369. 2 indexed citations
9.
Xu, Wenchao, et al.. (2024). SR-FDIL: Synergistic Replay for Federated Domain-Incremental Learning. IEEE Transactions on Parallel and Distributed Systems. 35(11). 1879–1890. 5 indexed citations
10.
Xu, Wenchao, et al.. (2024). Detached and Interactive Multimodal Learning. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 5470–5478.
11.
Zheng, Hao, et al.. (2024). Harmonizing Global and Local Class Imbalance for Federated Learning. IEEE Transactions on Mobile Computing. 24(2). 1120–1131. 1 indexed citations
12.
Wang, Haozhao, et al.. (2024). FedNLR: Federated Learning with Neuron-wise Learning Rates. 3069–3080. 5 indexed citations
13.
Bi, Yuanguo, et al.. (2024). Knowledge-Aware Parameter Coaching for Personalized Federated Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 38(15). 17069–17077. 5 indexed citations
14.
Huo, Fushuo, Wenchao Xu, Jingcai Guo, Haozhao Wang, & Song Guo. (2024). C2KD: Bridging the Modality Gap for Cross-Modal Knowledge Distillation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 16006–16015. 9 indexed citations
15.
Huo, Fushuo, et al.. (2024). Non-exemplar Online Class-Incremental Continual Learning via Dual-Prototype Self-Augment and Refinement. Proceedings of the AAAI Conference on Artificial Intelligence. 38(11). 12698–12707. 3 indexed citations
16.
Liu, Wei, Haozhao Wang, Jun Wang, et al.. (2024). Enhancing the Rationale-Input Alignment for Self-explaining Rationalization. 2218–2230.
17.
Wang, Jun, et al.. (2023). Decoupled Rationalization with Asymmetric Learning Rates: A Flexible Lipschitz Restraint. 1535–1547. 1 indexed citations
18.
Xu, Wenchao, et al.. (2023). Mobile Collaborative Learning Over Opportunistic Internet of Vehicles. IEEE Transactions on Mobile Computing. 23(4). 3187–3199. 14 indexed citations
19.
Wang, Haozhao, Zhihao Qu, Song Guo, et al.. (2021). LOSP: Overlap Synchronization Parallel With Local Compensation for Fast Distributed Training. IEEE Journal on Selected Areas in Communications. 39(8). 2541–2557. 12 indexed citations
20.
Qu, Zhihao, Song Guo, Haozhao Wang, et al.. (2021). Partial Synchronization to Accelerate Federated Learning Over Relay-Assisted Edge Networks. IEEE Transactions on Mobile Computing. 21(12). 4502–4516. 30 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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