Multiple instance subspace learning via partial random projection tree for local reflection symmetry in natural images. - Wei Shen 002; Xiang Bai; Zihao Hu; Zhijiang Zhang (Pattern Recognit., 2016)

Bayesian Supervised Hashing. - Zihao Hu; Junxuan Chen; Hongtao Lu; Tongzhen Zhang (CVPR, 2017)

Supervised Hashing based on Energy Minimization. - Zihao Hu; Xiyi Luo; Hongtao Lu; Yong Yu 001 (CoRR, 2017)

A person re-identification algorithm based on pyramid color topology feature. - Hai-Miao Hu; Wen Fang; Guodong Zeng; Zihao Hu; Bo Li 006 (Multim. Tools Appl., 2017)

Person Re-Identification with Hybrid Loss and Hard Triplets Mining. - Zihao Hu; Huiyan Wu; Shengcai Liao; Hai-Miao Hu; Si Liu 001; Bo Li 006 (BigMM, 2018)

Perceptual hash-based feature description for person re-identification. - Wen Fang; Hai-Miao Hu; Zihao Hu; Shengcai Liao; Bo Li 006 (Neurocomputing, 2018)

Trajectroy prediction for target tracking using acoustic and image hybrid wireless multimedia sensors networks. - Shuo Xiao; Wei Li; Haifeng Jiang; Zhiou Xu; Zihao Hu (Multim. Tools Appl., 2018)

Multi-Level Feature Network With Multi-Loss for Person Re-Identification. - Huiyan Wu; Ming Xin 003; Wen Fang; Hai-Miao Hu; Zihao Hu (IEEE Access, 2019)

Adaptive Oracle-Efficient Online Learning. - Guanghui Wang; Zihao Hu; Vidya Muthukumar; Jacob D. Abernethy (NeurIPS, 2022)

Minimizing Dynamic Regret on Geodesic Metric Spaces. - Zihao Hu; Guanghui Wang; Jacob D. Abernethy (COLT, 2023)

Towards Differentially Private Over-the-Air Federated Learning via Device Sampling. - Zihao Hu; Jia Yan; Ying-Jun Angela Zhang (GLOBECOM, 2023)

Riemannian Projection-free Online Learning. - Zihao Hu; Guanghui Wang; Jacob D. Abernethy (NeurIPS, 2023)

Faster Margin Maximization Rates for Generic Optimization Methods. - Guanghui Wang; Zihao Hu; Vidya Muthukumar; Jacob D. Abernethy (NeurIPS, 2023)

Randomized Quantization is All You Need for Differential Privacy in Federated Learning. - Yeojoon Youn; Zihao Hu; Juba Ziani; Jacob D. Abernethy (CoRR, 2023)

Riemannian Optimistic Algorithms. - Xi Wang; Deming Yuan; Yiguang Hong; Zihao Hu; Lei Wang 059; Guodong Shi (CoRR, 2023)

NAH: neighbor-aware attention-based heterogeneous relation network model in E-commerce recommendation. - Nan Jiang 013; Zihao Hu; Jie Wen; Jiahui Zhao; Weihao Gu; Ziang Tu; Ximeng Liu; Yuanyuan Li; Jianfei Gong; Fengtao Lin (World Wide Web (WWW), 2023)

Extragradient Type Methods for Riemannian Variational Inequality Problems. - Zihao Hu; Guanghui Wang; Xi Wang; Andre Wibisono; Jacob D. Abernethy; Molei Tao (AISTATS, 2024)

WIP: Engineering Class Students' Epistemic Cognition when Interacting with Generative AI. - Rosanna Yuen-Yan Chan; Cecilia Ka Yuk Chan; Morris Siu-Yung Jong; Zihao Hu; Yuming Zhang (FIE, 2024)

Communication-Learning Co- Design for Over-the-Air Federated Distillation. - Zihao Hu; Jia Yan; Ying-Jun Angela Zhang; Jun Zhang 004; Khaled B. Letaief (VTC Spring, 2024)

Communication-Learning Co-Design for Differentially Private Over-the-Air Federated Learning With Device Sampling. - Zihao Hu; Jia Yan; Ying-Jun Angela Zhang (IEEE Trans. Wirel. Commun., 2024)

Textual Graph Contrastive Learning for Enhanced Dataset Recommendation. - Ammar Qayyum; Bassamtiano Renaufalgi Irnawan; Sheng Xu; Zihao Hu; Fumiyo Fukumoto; Yoshimi Suzuki (IMCOM, 2025)

OTMA: Optimal transfer modality alignment for visible-thermal person re-identification. - Yongguo Ling; Zihao Hu; Gangzhu Lin; Shaozi Li; Min Jiang 005 (Knowl. Based Syst., 2025)

Learning and Optimization on Geodesic Metric Spaces. - Zihao Hu (2025)

Learning to Bid in Non-Stationary Repeated First-Price Auctions. - Zihao Hu; Xiaoyu Fan; Yuan Yao 011; Jiheng Zhang; Zhengyuan Zhou (CoRR, 2025)

Optimal Transceiver Design in Over-the-Air Federated Distillation. - Zihao Hu; Jia Yan; Ying-Jun Angela Zhang; Jun Zhang 004; Khaled B. Letaief (CoRR, 2025)

Communication-Learning Co-Design for Differentially Private Over-the-Air Federated Distillation. - Zihao Hu; Jia Yan; Ying-Jun Angela Zhang (CoRR, 2025)