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Dive into the research topics where Hao Wang is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Collaborative Research: CISE MSI: RDP: CNS: Towards the Resilient NextG Network Design for Federated Learning over Mobile Devices
Wang, H. (PI)
15/01/25 → 31/12/26
Project: Research project
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Collaborative Research: OAC: Core: Harvesting Idle Resources Safely and Timely for Large-scale AI Applications in High-Performance Computing Systems
Wang, H. (PI)
1/10/24 → 31/08/27
Project: Research project
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Collaborative Research: CSR: Medium: Enhancing Energy Awareness for Efficient Federated Learning over Mobile AI Systems
Wang, H. (PI)
1/10/24 → 30/11/28
Project: Research project
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CRII: OAC: High-Efficiency Serverless Computing Systems for Deep Learning: A Hybrid CPU/GPU Architecture
Wang, H. (PI)
1/10/24 → 31/12/25
Project: Research project
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Accelerating ML Inference via Opportunistic Pre-Loading on Serverless Clusters
Sui, Y., Yu, H., Hu, Y., Li, J. & Wang, H., Feb 2026, In: IEEE Transactions on Parallel and Distributed Systems. 37, 2, p. 472-488 17 p.Research output: Contribution to journal › Article › peer-review
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AI Crossroads: Systems, Energy, and Applications
Li, J., Wang, H., Tiwari, D. & Zhou, J. J., 27 Aug 2025, In: Performance Evaluation Review. 53, 2, p. 2 1 p.Research output: Contribution to journal › Article › peer-review
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AMPERE: A Generic Energy Estimation Approach for On-Device Training
Zhang, J., Wang, Z., Wang, H., Song, T., Su, H. A., Chen, R., Hua, Y., Zhou, X., Ma, R., Pan, M. & Guan, H., 27 Aug 2025, In: Performance Evaluation Review. 53, 2, p. 27-32 6 p.Research output: Contribution to journal › Article › peer-review
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An Efficient On-Device Federated Learning System Through the Interplay of Client Selection and Batch Size With Watermarked Data
Ling, T., Shi, S., Wang, H., Hu, C. & Wang, D., 2025, In: IEEE Transactions on Mobile Computing. 24, 11, p. 11480-11493 14 p.Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
ARMing x86 Games: Accelerating Binary Translation Using Software-Only Validated Flag Speculation
Yen, J., Wang, J., Huang, Z., Wei, Z., Zhang, Z., Chen, C., Yu, S., Wang, Y., Wang, H. & Qi, Z., 25 Sep 2025, MobiSys 2025 - Proceedings of the 23rd ACM international Conference on Mobile Systems, Applications, and Services. p. 183-195 13 p. (MobiSys 2025 - Proceedings of the 23rd ACM international Conference on Mobile Systems, Applications, and Services).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review