Heng Zhang

ORCID: 0000-0002-1093-5809
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About
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Research Areas
  • Catalytic C–H Functionalization Methods
  • Synthesis and Catalytic Reactions
  • Railway Engineering and Dynamics
  • Infrastructure Maintenance and Monitoring
  • Sulfur-Based Synthesis Techniques
  • Advanced Computational Techniques and Applications
  • Geotechnical Engineering and Analysis
  • Aerodynamics and Fluid Dynamics Research
  • Landslides and related hazards
  • Catalytic Processes in Materials Science
  • Geological Modeling and Analysis
  • Topic Modeling
  • Geotechnical Engineering and Underground Structures
  • Advanced Vision and Imaging
  • Remote-Sensing Image Classification
  • Brake Systems and Friction Analysis
  • Catalytic Cross-Coupling Reactions
  • Corporate Finance and Governance
  • Structural Health Monitoring Techniques
  • Tribology and Lubrication Engineering
  • Neural Networks and Applications
  • Image and Object Detection Techniques
  • Dam Engineering and Safety
  • Non-Destructive Testing Techniques
  • Oxidative Organic Chemistry Reactions

Powerchina Huadong Engineering Corporation (China)
2025

Shanghai Dianji University
2024

Hohai University
2018-2024

Institute of Solid State Physics
2024

Chinese Academy of Sciences
2021-2024

University of Science and Technology of China
2024

Changjiang Institute of Survey, Planning, Design and Research
2023-2024

Southwest Jiaotong University
2019-2024

Hefei Institutes of Physical Science
2024

Tongji University
2024

This paper reviews the NTIRE 2023 challenge on efficient single-image super-resolution with a focus proposed solutions and results. The aim of this is to devise network that reduces one or several aspects such as runtime, parameters, FLOPs, activations, memory footprint, depth RFDN while at least maintaining PSNR 29.00dB DIV2K validation datasets. had 272 registered participants, 35 teams made valid submissions. They gauge state-of-the-art for super-resolution.

10.1109/cvprw59228.2023.00189 article EN 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 2023-06-01

The Pd(II)-catalyzed Ph2(O)P-directed C-H olefination to synthesize alkene-phosphine compounds is reported. In contrast previous examples of various directing groups that guide selective activation, the Ph2(O)P group not only acts as but also serves construct ligands. monoprotected amino acid (MPAA) ligand Ac-Leu-OH found promote this reaction in a significant manner.

10.1021/ol402577p article EN Organic Letters 2013-10-07

PdFe alloy nanoparticles supported on nitrogen-doped carbon nanotubes, is proposed for the electrochemical upcycling of polyethylene terephthalate waste at anode with simultaneous generation hydrogen cathode.

10.1039/d3ta07827b article EN Journal of Materials Chemistry A 2024-01-01

A NiCoV layered double hydroxide (LDH) nanosheet array structure grown on reduced graphene oxide (rGO) uniformly modified Ni foam was synthesized through V-doping coupled H 2 O pre-oxidation using a hydrothermal method.

10.1039/d4ta01763c article EN Journal of Materials Chemistry A 2024-01-01

A novel and efficient Pd-catalyzed C-H acetoxylation is described. The approach uses R2(O)P as a directing group to synthesize various substituted 2'-phosphorylbiphenyl-2-OAc compounds. Notably, the reaction exhibits smooth operation under mild conditions shows good functional tolerance. Products are obtained with high selectivity yields.

10.1039/c4cc01238k article EN Chemical Communications 2014-01-01

Large Language Models (LLMs) have transformed artificial intelligence by excelling in complex natural language processing tasks. Their ability to generate human-like text has opened new possibilities for market research, particularly conjoint analysis, where understanding consumer preferences is essential but often resource-intensive. Traditional survey-based methods face limitations scalability and cost, making LLMgenerated data a promising alternative. However, while LLMs the potential...

10.2139/ssrn.5057769 preprint EN 2025-01-01

Abstract For dams built in seismic active regions, a venting tunnel plays the role quickly releasing water thus reducing risk to dam and downstream area case of emergency. So safety tunnels is very important. In presented research, earthquake response an with strong seismicity investigated. The including gate shaft, framed bent as well curved chamber discretized by finite element meshes. dynamic structure‐water‐foundation interaction modelled. modelled added masses, unbounded foundation...

10.1002/cepa.3184 article EN ce/papers 2025-03-01

A novel pathway for the synthesis of polyaromatic monophosphorus ligands <italic>via</italic> P(O)R<sub>2</sub> directed palladium-catalyzed arylation (diisopropylphosphoryl)biphenyl skeleton derivatives was discovered.

10.1039/c3cc49050e article EN Chemical Communications 2013-12-23

Employee turnover indicates the staff decides to leave company. Along with fast development of economic and industries, employee phenomenon becomes popular gradually in recent years. On one hand, company due various reasons. other retention job stability impact normal operation Companies need grasp major factors turnover, then take relevant measures deal this problem. This paper employs machine learning technique sort out characteristics turnover. Furthermore, we adopt GBDT algorithm LR fit...

10.1109/iscit.2018.8587962 article EN 2018-09-01

Crack inspection is one of the most important tasks for concrete bridge monitoring. Traditionally, human-based systems using people's eyes are unsafe and costly. To overcome this problem, a novel unmanned aerial vehicle (UAV) based system developed to detect cracks on lateral sides underside bridges. Applying obstacle avoidance modules, UAV can reach bridges' within safe distance. Thus onboard camera capture images surface in high resolution. locate positions solve problem limited horizon...

10.1109/igarss.2017.8127704 article EN 2017-07-01

To evaluate whether melatonin (MT) supplementation during in vitro maturation (IVM) of human oocytes can reverse the age-related decline oocyte quality. We enrolled 172 patients aged ≥35 years (older reproductive-aged women) and 83 <35 (young who underwent fertilization between 2019 2022. conducted IVM with without 10 μM MT immature different ages. Oocyte embryo development were observed using a stereomicroscope. assessed immunofluorescence intensity mitochondrial function, measured copy...

10.1016/j.heliyon.2023.e19366 article EN cc-by-nc-nd Heliyon 2023-08-21

Several studies have demonstrated the important role of Toll‐like receptors in various parasitic infections. This study aims to explore expression (TLRs) and related cytokines patients with human cystic echinococcosis (CE) alveolar (AE). 78 subjects including AE group ( N = 28), CE 22), healthy controls (HC, 28) were enrolled this study. The mRNA levels TLR2 TLR4 blood hepatic tissue plasma detected by using ELISA. Median groups significantly elevated as compared that control group....

10.1155/2015/632760 article EN cc-by Mediators of Inflammation 2015-01-01

Short-term traffic flow prediction can provide a basis for management and support travelers to make decisions. Accurate short-term also provides necessary conditions the sustainable development of environment. Although application deep learning methods has achieved good accuracy, problem combining multiple improve accuracy single method still margin in-depth research. In this article, combined (CDLP) model including two paralleled models, CNN-LSTM-attention CNN-GRU-attention model, is...

10.1155/2021/9928073 article EN cc-by Journal of Advanced Transportation 2021-07-03

Intensive computation is entering data centers with multiple workloads of deep learning. To balance the compute efficiency, performance, and total cost ownership (TCO), use a field-programmable gate array (FPGA) reconfigurable logic provides an acceptable acceleration capacity compatible diverse computation-sensitive tasks in cloud. In this paper, we develop FPGA platform that leverages unified framework architecture for general-purpose convolutional neural network (CNN) inference at center....

10.1109/fpl.2019.00032 preprint EN 2019-09-01

Abstract Hunting stability is an important performance criterion in railway vehicles. This study proposes incorporation of a bio-inspired limb-like structure (LLS)-based nonlinear damping into the motor suspension system for traction units to improve critical speed and hunting high-speed trains (HSTs). Initially, vibration transmission analysis conducted on HST vehicle metro that suffered from motion explore effect different systems on-track tests. Subsequently, simplified lateral dynamics...

10.1007/s40534-024-00336-6 article EN cc-by Railway Engineering Science 2024-07-04

We propose multi-task, multivariate low-rank representation-based methods for multimodal biometrics recognition. Our can be viewed as a generalized version of regression, where representation across all the modalities is imposed. One our takes into account coupling information among different biometric simultaneously by enforcing common within each biometric's observations. further modify including background occlusion term that assumed to sparse. Alternating direction method multipliers...

10.1109/fg.2015.7163146 article EN 2015-05-01
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