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Profil bibliographique

J Junyi Zhang

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

29Publications signalées
91Citations signalées
6Affiliations récentes

Les institutions déclarées

Les domaines associés

Antenna Design and AnalysisAdvanced oxidation water treatmentCryptography and Data SecurityComputer Graphics and Visualization TechniquesPrivacy-Preserving Technologies in Data

Les publications récentes

2026 article OpenAlex

Verifiable Encrypted Timed Signature Scheme and Its Application in Blockchains

Yuan Li, Junzuo Lai, Yi Liu, Liang Zhang et autres

Verifiable Timed Signatures (CCS '20) add a verification feature to timed signatures. Before spending computing effort, a solver can check that the timed signature contains a valid signature. Because of this, VTS has been used in distributed protocols such as atomic swaps …

hk, cn (code pays fourni par la source)

0 citations IEEE Transactions on Dependable and Secure Computing
Accès ouvert 2026 article OpenAlex

Rethinking RSSI for WiFi sensing

Zhili Wang, J Junyi Zhang, Kai Wu, Y. Jay Guo

The Received Signal Strength Indicator (RSSI) is available on WiFi devices, yet it is often regarded as too coarse for sensing. This work revisits its sensing potential and presents WiRSSI, a bistatic framework for RSSI-only passive tracking and motion sensing. Moving beyond …

au (code pays fourni par la source)

1 citation npj Wireless Technology
2026 article OpenAlex

Tackling Arbitrarily Heterogeneous Data in Asynchronous Stochastic Gradient Descent Without Worker Scheduling

Xiaolu Wang, Yuchang Sun, Hoi-To Wai, J Junyi Zhang

We consider the distributed optimization problem with data dispersed across multiple workers under the orchestration of a parameter server. In distributed environments, variations in computation speeds and network conditions across workers often lead to significant idle times in synchronous training. Although asynchronous …

cn, hk (code pays fourni par la source)

0 citations INFORMS journal on computing
Accès ouvert 2026 article OpenAlex

Iodine-mediated proton-coupled electron transfer enables selective polymerization of organic pollutants in an oxidant-free electrocatalytic system

Zexiao Zheng, J Junyi Zhang, Jonathan J. Calvillo Solís, Howard Y.M. Cheung et autres

Organic polymerization offers a sustainable water treatment approach that enables resource recovery, yet current oxidant-involved practices suffer from poor selectivity. We present an oxidant-free electrocatalytic system for phenolic pollutant polymerization via iodine-mediated proton-coupled electron transfer (PCET) with an iodine-enriched bismuth-oxyiodide-coated carbon cloth …

hk, in, cn (code pays fourni par la source)

1 citation Nature Communications
Accès ouvert 2026 article OpenAlex

Towards reasoning-empowered task-oriented communication for agent networks

Songjie Xie, H L Li, Zhili Wang, Shenghui Song et autres

Agentic AI is fundamentally transforming wireless communication by reshaping static architectures into an autonomous, cognitive fabrics, ultimately paving the way for agent networks : distributed ecosystems of intelligent agents capable of perception, reasoning, and collaborative action across physical and digital domains. In …

hk (code pays fourni par la source)

1 citation npj Wireless Technology
2026 article OpenAlex

Estimation Errors as Regret Lower Bounds for Linear Contextual Bandits

Jiahao He, J Junyi Zhang, Rui Zhang

Linear contextual bandits and their variants represent a fundamental class of models with wide real-world applications, usually solved using algorithms guided by parameter estimation. The Cauchy-Schwarz inequality established analytically that estimation errors dominate algorithm regrets. Therefore, accurate parameter estimation suffices to guarantee …

hk, cn (code pays fourni par la source)

0 citations Management Science
2026 article OpenAlex

Federated LoRA Fine-Tuning of LLMs With Only Transmitting Matrix A or B

Yiming Chen, Ruanjun Li, Jiawei Shao, Lifeng Sun et autres

Recent advancements in large language models (LLMs) have been largely driven by vast amounts of training data. As public data are exhausted, fine-tuning LLMs with private data has become increasingly important. However, due to privacy concerns associated with sensitive data, traditional centralized …

cn, hk (code pays fourni par la source)

0 citations IEEE Transactions on Mobile Computing

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