Jun Hou

ORCID: 0009-0007-2281-7774
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About
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Research Areas
  • Electrocatalysts for Energy Conversion
  • Luminescence and Fluorescent Materials
  • Metalloenzymes and iron-sulfur proteins
  • Generative Adversarial Networks and Image Synthesis
  • Nanocluster Synthesis and Applications
  • Photopolymerization techniques and applications
  • Privacy-Preserving Technologies in Data
  • Photochromic and Fluorescence Chemistry
  • Carbon dioxide utilization in catalysis
  • Human Motion and Animation
  • Domain Adaptation and Few-Shot Learning
  • Organic Light-Emitting Diodes Research
  • Advanced biosensing and bioanalysis techniques
  • CO2 Reduction Techniques and Catalysts
  • Molecular Sensors and Ion Detection
  • Advanced battery technologies research
  • Digital Media Forensic Detection
  • Organic Electronics and Photovoltaics
  • Supramolecular Self-Assembly in Materials
  • Ultra-Wideband Communications Technology
  • Multimodal Machine Learning Applications
  • Ultrasound and Hyperthermia Applications
  • Effects and risks of endocrine disrupting chemicals
  • Gold and Silver Nanoparticles Synthesis and Applications
  • Electrohydrodynamics and Fluid Dynamics

Anqing Normal University
2025

University of Hong Kong
2024

Jilin Jiangji Special Industries Co., Ltd (China)
2023

Anhui University
2023

Zhejiang University
2022

University of Science and Technology Beijing
2022

Dalian Polytechnic University
2021-2022

Jinhua Academy of Agricultural Sciences
2022

Daqing Oilfield General Hospital
2014

Yanbian University
2008-2011

Electromyographic (EMG) signals have gained popularity for controlling prostheses and exoskeletons, particularly in the field of upper limbs stroke patients. However, there is a lack research lower limb area, standardized open-source datasets EMG signals, especially recording data Asian race features, are scarce. Additionally, deep learning algorithms rarely used human motion intention recognition based on EMG, area. In response to these gaps, we present an benchmark dataset with...

10.1109/tnsre.2024.3403723 article EN cc-by IEEE Transactions on Neural Systems and Rehabilitation Engineering 2024-01-01

It remains a significant challenge to construct an integrated catalyst that combines advantages of homogeneous and heterogeneous catalysis with clarified mechanism high performance. Here we show atomically precise CuAg cluster catalysts for CO2 capture utilization, where two functional units are combined into the clusters: metal ligand. Due atomic resolution on total local structures such be achieved, which disentangles imprecise systems permits tracing reaction processes via experiments...

10.1002/anie.202216735 article EN Angewandte Chemie International Edition 2022-12-23

Three N-substituted selenium-bridged diiron complexes [{(μ-SeCH2)2NC6H4R}Fe2(CO)6] (R = 4-NO2, 7; R H, 8; 4-CH3, 9) were firstly prepared as biomimetic models for the Fe–Fe hydrogenases active site. Models 7–9 could be generated by convergent reaction of [(μ-HSe)2Fe2(CO)6] (6) with N,N-bis(hydroxymethyl)-4-nitroaniline (1), N,N-bis(hydroxymethyl)aniline (2), and N,N-bis(hydroxymethyl)-4-methylaniline (3) in 46–52% yields. All new characterized IR, 1H 13C NMR HRMS spectra their molecular...

10.1039/b717497g article EN Dalton Transactions 2008-01-01

The allocation of water and land resources (WLRs) has adhered to a system where they "serve as boundaries for each other," posing challenges in satisfying the exacting management requirements these contemporary era. In line with precise predictions future WLRs, optimal framework WLRs was constructed obtain rational configuration scheme. prediction results showed that imbalance between supply demand will intensify Yiluo River Basin. After configuration, shortage, consumption, pollutant...

10.1016/j.isci.2024.111739 article EN cc-by iScience 2025-01-05

Developing comprehensive explicit world models is crucial for understanding and simulating real-world scenarios. Recently, Procedural Controllable Generation (PCG) has gained significant attention in large-scale scene generation by enabling the creation of scalable, high-quality assets. However, PCG faces challenges such as limited modular diversity, high expertise requirements, managing diverse elements structures complex scenes. In this paper, we introduce a framework, SceneX, which can...

10.1609/aaai.v39i10.33174 article EN Proceedings of the AAAI Conference on Artificial Intelligence 2025-04-11

Abstract An aromatic isocyanide‐substituted diiron complex 5 has been synthesized as a mimic for the active site of Fe‐only hydrogenases. Its structure fully characterized by X‐ray crystallography. The 4‐iodophenylisocyanide ligands in are basal positions and nearly parallel to each other, with π–π stacking interactions. Four isomeric geometries have optimized DFT calculations, electrochemical properties investigated cyclic voltammetry absence presence p ‐toluenesulfonic acid (HOTs)....

10.1002/ejic.200600452 article EN European Journal of Inorganic Chemistry 2006-09-18

Due to its great application potential, large-scale scene generation has drawn extensive attention in academia and industry. Recent research employs powerful generative models create desired scenes achieves promising results. However, most of these methods represent the using 3D primitives (e.g. point cloud or radiance field) incompatible with industrial pipeline, which leads a substantial gap between academic deployment. Procedural Controllable Generation (PCG) is an efficient technique for...

10.48550/arxiv.2403.15698 preprint EN arXiv (Cornell University) 2024-03-22

Abstract In the search for synthetic competitive catalysts that function with hydrogenase‐like capability, a series of (Pyrrol‐1‐yl)phosphane‐substituted diiron complexes [(μ‐pdt)Fe 2 (CO) 5 L] [pdt = propanedithiolate, L Ph PPyr ( ), 3 4 ); Pyr pyrrolyl] and ] [L )] were prepared as functional models active site Fe‐only hydrogenase. The structures these fully characterized by spectroscopy X‐ray crystallography. IR spectra CO bands – are shifted to higher energy relative those “traditional”...

10.1002/ejic.201000304 article EN European Journal of Inorganic Chemistry 2010-07-09

Abstract Single‐helical or double‐helical structures are common in living organisms. Helical assembly has been found the artificial nanoparticles, but how they do so remains poorly understood. Here, we exploit atomically precise Au 6 Cu bimetallic nanoparticles (or called nanoclusters) as building blocks to construct a single‐helical 12 superstructure an operative path, thereby providing access currently elusive mechanistic pathways. We propose that thermodynamically viable linear‐to‐bent...

10.1002/agt2.304 article EN cc-by Aggregate 2022-12-08

Abstract Two stilbazolium derivatives with different counter-anions (Br− and OH− ) have been designed synthesised. Different cause aggregation properties. The reason of this difference was investigated through concentration- temperature-dependent 1H NMR IR spectra. When the counter-anion is , derivative exhibits pronounced scanning electron microscope images xerogels show characteristic gelation morphologies 3D fibrous network structures. X-ray diffraction fluorescence spectroscopy studies...

10.1080/10610278.2011.563951 article EN Supramolecular chemistry 2011-05-03

Fluorescein derivatives with thermally activated delayed fluorescence (TADF) show much stronger competition ability and vaster prospects than traditional fluorescein dyes due to their prominent long lifetime. It will be of great significance synthesize more TADF. In this work, compounds DCF-MPYA FL TADF properties were obtained by fine tuning the substituents' structure on basis derivative DCF-MPYM. Their long-lived triplet excited states (21.78 μs, 32.0 μs) proved nanosecond time-resolved...

10.1039/d2ra00593j article EN cc-by-nc RSC Advances 2022-01-01

Abstract It remains a significant challenge to construct an integrated catalyst that combines advantages of homogeneous and heterogeneous catalysis with clarified mechanism high performance. Here we show atomically precise CuAg cluster catalysts for CO 2 capture utilization, where two functional units are combined into the clusters: metal ligand. Due atomic resolution on total local structures such be achieved, which disentangles imprecise systems permits tracing reaction processes via...

10.1002/ange.202216735 article EN Angewandte Chemie 2022-12-23

Abstract Diese Arbeit befasst sich mit der Herstellung metallischer Nanopartikel in einem Dielectric Barrier Discharge (DBD)‐Plasma bei Atmosphärendruck. Im entwickelten Reaktor ist nur eine Elektrode Dielektrikum (Aluminiumoxid) versehen, während die punktförmige Gegenelektrode für filamentären Entladungen frei zugänglich (asymmetrische DBD). Die metallischen Partikeln werden aus dem Material offenen gebildet, auf zur Ausbildung von Kratern führen. Während im kalten zu Beginn hohe Anzahl...

10.1002/cite.201100057 article DE Chemie Ingenieur Technik 2011-10-27

Federated learning (FL) has emerged as a powerful paradigm for from decentralized data, and federated domain generalization further considers the test dataset (target domain) is absent training data (source domains). However, most existing FL methods assume that labels are provided during training, their evaluation imposes explicit constraints on number of domains, which must strictly match clients. Because underutilization numerous edge devices additional cross-client annotations in real...

10.48550/arxiv.2403.08506 preprint EN arXiv (Cornell University) 2024-03-11

Accurate and timely detection repair of pavement cracks is the key to road maintenance. Although crack method based on image semantic segmentation have achieved good results till now, there are still some shortcomings, especially accuracy needing be further improved. We propose a new network for encoder-decoder structure, called MCAMN et, which uses multi-directional convolution module instead conventional feature extraction, solving problem discontinuous incomplete results. MCAMNet...

10.1109/ishc56805.2022.00053 article EN 2022-12-01

Deep neural network (DNN) has achieved great success in many fields. However, as training a good model often needs massive high-quality data and computation resources, it is very important to protect the intellectual property (IP) of networks. We find that relevance preventing stealing learned DNN same verifying suspicious model. In this research, we proposed novel method watermark Neural Networks authorize specified users. Specifically, input must go through with our designed backdoor key...

10.1109/ishc56805.2022.00054 article EN 2022-12-01
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