Zeng Zhao

ORCID: 0000-0002-7292-876X
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About
Contact & Profiles
Research Areas
  • Multimodal Machine Learning Applications
  • Urban Transport and Accessibility
  • Computer Graphics and Visualization Techniques
  • Topic Modeling
  • 3D Shape Modeling and Analysis
  • Human Pose and Action Recognition
  • Domain Adaptation and Few-Shot Learning
  • Protein Degradation and Inhibitors
  • Environmental Impact and Sustainability
  • Peptidase Inhibition and Analysis
  • Ocean Acidification Effects and Responses
  • Granular flow and fluidized beds
  • Urban Planning and Valuation
  • Phytochemistry and Bioactivity Studies
  • X-ray Diffraction in Crystallography
  • Artificial Intelligence in Games
  • Soil Mechanics and Vehicle Dynamics
  • Arctic and Russian Policy Studies
  • Fire Detection and Safety Systems
  • Bioactive Natural Diterpenoids Research
  • Computational and Text Analysis Methods
  • Advanced Vision and Imaging
  • Flavonoids in Medical Research
  • Climate Change Policy and Economics
  • Synthesis and Catalytic Reactions

NetEase (China)
2021-2024

Tianjin University
2023-2024

Shanghai Institute of Pharmaceutical Industry
2022-2023

China Academy of Space Technology
2023

Shanghai Jiao Tong University
2022-2023

Jianghan University
2022

10.1016/j.strueco.2023.01.002 article EN Structural Change and Economic Dynamics 2023-01-05

The aberrant activation of STAT3 is associated with the etiology and progression in a variety malignant epithelial-derived tumors, including head neck squamous cell carcinoma (HNSCC) colorectal cancer (CRC). Due to lack an enzymatic catalytic site or ligand-binding pocket, there are no small-molecule inhibitors directly targeting that have been approved for clinical translation. Emerging proteolysis chimeric (PROTAC) technology–based approach represents potential strategy overcome...

10.1172/jci.insight.160606 article EN cc-by JCI Insight 2022-11-21

Large-scale vision-language pre-training has achieved significant performance in multi-modal understanding and generation tasks. However, existing methods often perform poorly on image-text matching tasks that require structured representations, i.e., representations of objects, attributes, relations. The models cannot make a distinction between "An astronaut rides horse" "A horse an astronaut". This is because they fail to fully leverage knowledge when learning representations. In this...

10.1609/aaai.v38i3.28017 article EN Proceedings of the AAAI Conference on Artificial Intelligence 2024-03-24

As one of the common malignant cancer types, gastric (GC) is known for late-stage diagnosis and poor prognosis. Overexpression receptor tyrosine kinase MET associated with prognosis among patients advanced stage GC. However, no inhibitor has been used GC treatment. Like other inhibitors that fit "occupancy-driven" model, current are prone to acquired resistance. The emerging proteolysis targeting chimera (PROTAC) strategy could overcome such limitations through direct degradation target...

10.1111/cas.15733 article EN cc-by-nc-nd Cancer Science 2023-01-24

In recent years, 3D understanding has turned to 2D vision-language pre-trained models overcome data scarcity challenges. However, existing methods simply transfer alignment strategies, aligning representations with single-view images and coarse-grained parent category text. These approaches introduce information degradation insufficient synergy issues, leading performance loss. Information arises from overlooking the fact that a representation should be equivalent series of multi-view more...

10.1145/3581783.3611767 preprint EN 2023-10-26

The ocean industries are characterized by being export-driven. exports of (hereafter termed exports) caused environmental pollution with amounts CO 2 emissions and thereby affected climate change. There is a need, therefore, for accurate assessments embodied in exports—which can help policymakers adopt targeted emission-reduction measures to formulate sustainable policies. However, few studies ocean-industry considered impacts sectoral trade pattern heterogeneity, especially from export...

10.3389/fmars.2024.1429841 article EN cc-by Frontiers in Marine Science 2024-08-08

To date relatively few efforts have been made on the automatic generation of musical instrument playing animations. This problem is challenging due to intrinsically complex, temporal relationship between music and human motion as well lacking high quality music-playing datasets. In this article, we propose a fully automatic, deep learning based framework synthesize realistic upper body animations novel guzheng input. Specifically, recorded audiovisual capture dataset, delicately design...

10.1109/tvcg.2021.3115902 article EN IEEE Transactions on Visualization and Computer Graphics 2021-09-28

Gongzheng Li, Yadong Xi, Jingzhen Ding, Duan Wang, Ziyang Luo, Rongsheng Zhang, Bai Liu, Changjie Fan, Xiaoxi Mao, Zeng Zhao. Proceedings of the 2022 Conference North American Chapter Association for Computational Linguistics: Human Language Technologies: Industry Track. 2022.

10.18653/v1/2022.naacl-industry.8 article EN cc-by 2022-01-01

Palladium-catalyzed C-H activation reactions have attracted the attention of organic researchers due to their unique high selectivity, broad functional group tolerance, and efficiency, they are widely used in natural products asymmetric synthesis. Here, we report an example enantioselective alkenylation between β-alkyl phenylethylamine compounds styrenes with Boc-L-lle-OH as ligand nosylamide directing group. This reaction is applicable styrene containing various electron-deficient...

10.3390/molecules28041852 article EN cc-by Molecules 2023-02-15

From the roots of Campylotropis hirtella (Franch.) Schindl., many natural dihydroflavonol compounds have been extracted, and they possess a structurally novel feature chiral tertiary alcohol groups. However, content in plant is extremely low. At this point, to satisfy needs further experimental research on these compounds, much effort has invested chemical synthesis core structure 3-hydroxy-3-phenylchroman-4-one. This study aimed explore method for (3), its application production product...

10.1055/s-0043-1764226 article EN cc-by Pharmaceutical Fronts 2023-03-01

To ensure the safety of subway and maintain a good operating environment is primary task station units. Therefore, environmental passenger detection key locations in necessary, to obtain real-time information such as air quality status density at hall layer platform layer. Station operation management department can adjust emergency plan real time according various data inside improve security passengers property station. The traditional system performs processing on server has too high...

10.1109/dsit55514.2022.9943833 article EN 2022 5th International Conference on Data Science and Information Technology (DSIT) 2022-07-22
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