Improving Medical Short Text Classification with Semantic Expansion Using Word-Cluster Embedding. - Ying Shen 001; Qiang Zhang 015; Jin Zhang; Jiyue Huang; Yuming Lu; Kai Lei (ICISA, 2018)

Semantic Similarity Measures to Disambiguate Terms in Medical Text. - Kai Lei; Jiyue Huang; Shangchun Si; Ying Shen 001 (ICONIP (7), 2018)

Towards Decentralized Equilibrium Asset Trading Based on Blockchain. - Kai Lei; Maoyu Du; Liwei Yang; Jin Liu; Jiyue Huang; Danxia Xie; Kuai Xu (HPCC/SmartCity/DSS, 2019)

Survey on Blockchain Incentive Mechanism. - Jiyue Huang; Kai Lei; Maoyu Du; Hongting Zhao; Huafang Liu; Jin Liu; Zhuyun Qi (ICPCSEE (1), 2019)

An Exploratory Analysis on Users' Contributions in Federated Learning. - Jiyue Huang; Rania Talbi; Zilong Zhao 001; Sara Bouchenak; Lydia Y. Chen; Stefanie Roos (TPS-ISA, 2020)

Blockchain-Based Cache Poisoning Security Protection and Privacy-Aware Access Control in NDN Vehicular Edge Computing Networks. - Kai Lei; Junjie Fang; Qichao Zhang; Junjun Lou; Maoyu Du; Jiyue Huang; Jianping Wang; Kuai Xu (J. Grid Comput., 2020)

Groupchain: Towards a Scalable Public Blockchain in Fog Computing of IoT Services Computing. - Kai Lei; Maoyu Du; Jiyue Huang; Tong Jin (IEEE Trans. Serv. Comput., 2020)

Is Shapley Value fair? Improving Client Selection for Mavericks in Federated Learning. - Jiyue Huang; Chi Hong; Lydia Y. Chen; Stefanie Roos (CoRR, 2021)

AGIC: Approximate Gradient Inversion Attack on Federated Learning. - Jin Xu; Chi Hong; Jiyue Huang; Lydia Y. Chen; Jérémie Decouchant (SRDS, 2022)

Attacks and Defenses for Free-Riders in Multi-Discriminator GAN. - Zilong Zhao 001; Jiyue Huang; Stefanie Roos; Lydia Y. Chen (CoRR, 2022)

MEGA: Model Stealing via Collaborative Generator-Substitute Networks. - Chi Hong; Jiyue Huang; Lydia Y. Chen (CoRR, 2022)

Blind leads Blind: A Zero-Knowledge Attack on Federated Learning. - Jiyue Huang; Zilong Zhao 001; Lydia Y. Chen; Stefanie Roos (CoRR, 2022)

Fabricated Flips: Poisoning Federated Learning without Data. - Jiyue Huang; Zilong Zhao 001; Lydia Y. Chen; Stefanie Roos (DSN, 2023)

Defending Against Free-Riders Attacks in Distributed Generative Adversarial Networks. - Zilong Zhao 001; Jiyue Huang; Lydia Y. Chen; Stefanie Roos (FC, 2023)

Maverick Matters: Client Contribution and Selection in Federated Learning. - Jiyue Huang; Chi Hong; Yang Liu; Lydia Y. Chen; Stefanie Roos (PAKDD (2), 2023)

Exploring and Exploiting Data-Free Model Stealing. - Chi Hong; Jiyue Huang; Robert Birke; Lydia Y. Chen (ECML/PKDD (5), 2023)

On Quantifying the Gradient Inversion Risk of Data Reuse in Federated Learning Systems. - Jiyue Huang; Lydia Y. Chen; Stefanie Roos (SRDS, 2024)

SFDDM: Single-fold Distillation for Diffusion models. - Chi Hong; Jiyue Huang; Robert Birke; Dick H. J. Epema; Stefanie Roos; Lydia Y. Chen (CoRR, 2024)

Gradient Inversion of Federated Diffusion Models. - Jiyue Huang; Chi Hong; Lydia Y. Chen; Stefanie Roos (CoRR, 2024)

GIDM: Gradient Inversion of Federated Diffusion Models. - Jiyue Huang; Chi Hong; Stefanie Roos; Lydia Y. Chen (ARES (1), 2025)

TS-Inverse: A Gradient Inversion Attack Tailored for Federated Time Series Forecasting Models. - Caspar Meijer; Jiyue Huang; Shreshtha Sharma; Elena Lazovik; Lydia Y. Chen (SaTML, 2025)