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ORCIDZihao Hu
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2020 – today
- 2026
[j10]Zihao Hu, Lili Lv, Junxian Yang
, Qiang Li:
Threshold dynamics of a cytokine-enhanced general viral infection model with delayed CTL immune response. Comput. Appl. Math. 45(1): 4 (2026)- 2025
- [b1]Zihao Hu:
Learning and Optimization on Geodesic Metric Spaces. Georgia Institute of Technology, Atlanta, GA, USA, 2025 - [j9]Yongguo Ling, Zihao Hu, Gangzhu Lin, Shaozi Li, Min Jiang:
OTMA: Optimal transfer modality alignment for visible-thermal person re-identification. Knowl. Based Syst. 329: 114267 (2025) - [j8]Xi Wang, Deming Yuan, Yiguang Hong, Zihao Hu, Lei Wang, Guodong Shi:
Riemannian Online Optimistic Algorithms With Dynamic Regret. IEEE Trans. Autom. Control. 70(10): 6481-6496 (2025) - [c12]Ammar Qayyum, Bassamtiano Renaufalgi Irnawan, Sheng Xu, Zihao Hu, Fumiyo Fukumoto, Yoshimi Suzuki:
Textual Graph Contrastive Learning for Enhanced Dataset Recommendation. IMCOM 2025: 1-4 - [c11]Zihao Hu, Jia Yan, Ying-Jun Angela Zhang:
Computation-Efficient Federated Prompt-Tuning with Vision-Language Foundation Model Compression over Edge Networks. INFOCOM WKSHPS 2025: 1-6 - [i11]Zihao Hu, Xiaoyu Fan, Yuan Yao, Jiheng Zhang, Zhengyuan Zhou:
Learning to Bid in Non-Stationary Repeated First-Price Auctions. CoRR abs/2501.13358 (2025) - [i10]Zihao Hu, Jia Yan, Ying-Jun Angela Zhang, Jun Zhang, Khaled B. Letaief:
Optimal Transceiver Design in Over-the-Air Federated Distillation. CoRR abs/2507.15256 (2025) - [i9]Zihao Hu, Jia Yan, Ying-Jun Angela Zhang:
Communication-Learning Co-Design for Differentially Private Over-the-Air Federated Distillation. CoRR abs/2508.06557 (2025) - 2024
- [j7]Zihao Hu, Jia Yan, Ying-Jun Angela Zhang:
Communication-Learning Co-Design for Differentially Private Over-the-Air Federated Learning With Device Sampling. IEEE Trans. Wirel. Commun. 23(11): 16788-16804 (2024) - [c10]Zihao Hu, Guanghui Wang, Xi Wang, Andre Wibisono, Jacob D. Abernethy, Molei Tao:
Extragradient Type Methods for Riemannian Variational Inequality Problems. AISTATS 2024: 2080-2088 - [c9]Rosanna Yuen-Yan Chan, Cecilia Ka Yuk Chan, Morris Siu-Yung Jong, Zihao Hu, Yuming Zhang:
WIP: Engineering Class Students' Epistemic Cognition when Interacting with Generative AI. FIE 2024: 1-5 - [c8]Zihao Hu, Jia Yan, Ying-Jun Angela Zhang, Jun Zhang, Khaled B. Letaief:
Communication-Learning Co- Design for Over-the-Air Federated Distillation. VTC Spring 2024: 1-6 - 2023
- [j6]Nan Jiang, Zihao Hu, Jie Wen, Jiahui Zhao, Weihao Gu, Ziang Tu, Ximeng Liu, Yuanyuan Li, Jianfei Gong, Fengtao Lin:
NAH: neighbor-aware attention-based heterogeneous relation network model in E-commerce recommendation. World Wide Web (WWW) 26(5): 2373-2394 (2023) - [c7]Zihao Hu, Guanghui Wang, Jacob D. Abernethy:
Minimizing Dynamic Regret on Geodesic Metric Spaces. COLT 2023: 4336-4383 - [c6]Zihao Hu, Jia Yan, Ying-Jun Angela Zhang:
Towards Differentially Private Over-the-Air Federated Learning via Device Sampling. GLOBECOM 2023: 5292-5298 - [c5]Zihao Hu, Guanghui Wang, Jacob D. Abernethy:
Riemannian Projection-free Online Learning. NeurIPS 2023 - [c4]Guanghui Wang, Zihao Hu, Vidya Muthukumar, Jacob D. Abernethy:
Faster Margin Maximization Rates for Generic Optimization Methods. NeurIPS 2023 - [i8]Zihao Hu, Guanghui Wang, Jacob D. Abernethy:
Minimizing Dynamic Regret on Geodesic Metric Spaces. CoRR abs/2302.08652 (2023) - [i7]Guanghui Wang, Zihao Hu, Vidya Muthukumar, Jacob D. Abernethy:
Faster Margin Maximization Rates for Generic Optimization Methods. CoRR abs/2305.17544 (2023) - [i6]Zihao Hu, Guanghui Wang, Jacob D. Abernethy:
On Riemannian Projection-free Online Learning. CoRR abs/2305.19349 (2023) - [i5]Yeojoon Youn, Zihao Hu, Juba Ziani, Jacob D. Abernethy:
Randomized Quantization is All You Need for Differential Privacy in Federated Learning. CoRR abs/2306.11913 (2023) - [i4]Xi Wang, Deming Yuan, Yiguang Hong, Zihao Hu, Lei Wang, Guodong Shi:
Riemannian Optimistic Algorithms. CoRR abs/2308.16004 (2023) - [i3]Zihao Hu, Guanghui Wang, Xi Wang, Andre Wibisono, Jacob D. Abernethy, Molei Tao:
Extragradient Type Methods for Riemannian Variational Inequality Problems. CoRR abs/2309.14155 (2023) - 2022
- [c3]Guanghui Wang, Zihao Hu, Vidya Muthukumar, Jacob D. Abernethy:
Adaptive Oracle-Efficient Online Learning. NeurIPS 2022 - [i2]Guanghui Wang, Zihao Hu, Vidya Muthukumar, Jacob D. Abernethy:
Adaptive Oracle-Efficient Online Learning. CoRR abs/2210.09385 (2022)
2010 – 2019
- 2019
- [j5]Huiyan Wu, Ming Xin, Wen Fang, Hai-Miao Hu, Zihao Hu:
Multi-Level Feature Network With Multi-Loss for Person Re-Identification. IEEE Access 7: 91052-91062 (2019) - 2018
- [j4]Wen Fang, Hai-Miao Hu, Zihao Hu, Shengcai Liao, Bo Li:
Perceptual hash-based feature description for person re-identification. Neurocomputing 272: 520-531 (2018) - [j3]Shuo Xiao, Wei Li, Haifeng Jiang, Zhiou Xu, Zihao Hu:
Trajectroy prediction for target tracking using acoustic and image hybrid wireless multimedia sensors networks. Multim. Tools Appl. 77(10): 12003-12022 (2018) - [c2]Zihao Hu, Huiyan Wu, Shengcai Liao, Hai-Miao Hu, Si Liu, Bo Li:
Person Re-Identification with Hybrid Loss and Hard Triplets Mining. BigMM 2018: 1-5 - 2017
- [j2]Hai-Miao Hu, Wen Fang, Guodong Zeng, Zihao Hu, Bo Li:
A person re-identification algorithm based on pyramid color topology feature. Multim. Tools Appl. 76(24): 26633-26646 (2017) - [c1]Zihao Hu, Junxuan Chen, Hongtao Lu, Tongzhen Zhang:
Bayesian Supervised Hashing. CVPR 2017: 3288-3295 - [i1]Zihao Hu, Xiyi Luo, Hongtao Lu, Yong Yu:
Supervised Hashing based on Energy Minimization. CoRR abs/1712.00573 (2017) - 2016
- [j1]Wei Shen, Xiang Bai, Zihao Hu, Zhijiang Zhang:
Multiple instance subspace learning via partial random projection tree for local reflection symmetry in natural images. Pattern Recognit. 52: 306-316 (2016)
Coauthor Index
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