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Scan Information
Last checked:March 23, 2026 19:04:20
Target URL:https://szha.ai/
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Page Information
Target URL
https://szha.ai/
Page Title
Sheng Zha — AI Builder
Status
Active
Host Information
Domain
szha.ai
Server
GitHub.com
Country
United States
IP Address
185.199.111.153
ASN Information
54113
FASTLY
Technologies
Varnish
Caching
GitHub Pages
PaaS
Google Analytics
Analytics
Fastly
CDN
SSL Certificate
HTTPS Enabled
Secure
Certificate Issuer
N/A
Valid From
2026-03-22 19:04:23
Valid Until
2027-03-23 19:04:23
Subject Name
szha.ai
Performance Statistics
9
Total Requests
5
Domains
5
IP Addresses
178.06 KB
Transfer Size
Content Size506.57 KB
HTTP Headers
Accept-Ranges
bytes
Access-Control-Allow-Origin
*
Age
0
Cache-Control
max-age=600
Connection
keep-alive
Content-Encoding
gzip
Content-Length
6561
Content-Type
text/html; charset=utf-8
Date
Mon, 23 Mar 2026 19:04:23 GMT
ETag
W/"69bb28a1-5520"
Last-Modified
Wed, 18 Mar 2026 22:35:13 GMT
Server
GitHub.com
Vary
Accept-Encoding
Via
1.1 varnish
X-Cache
HIT
X-Cache-Hits
0
X-Fastly-Request-ID
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X-Timer
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expires
Mon, 23 Mar 2026 18:52:09 GMT
x-proxy-cache
MISS
22 headers detected
Technology Stack Analysis
Varnish
Caching
Varnish is a reverse caching proxy.
GitHub Pages
PaaS
GitHub Pages is a static site hosting service.
Google Analytics
Analytics
Google Analytics is a free web analytics service that tracks and reports website traffic.
Fastly
CDN
Fastly is a cloud computing services provider. Fastly's cloud platform provides a content delivery network, Internet security services, load balancing, and video & streaming services.
Website Cookies 2
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External Links 29
Amazon Nova& Foundation Model Stack
aws.amazon.com
Target URL
https://aws.amazon.com/ai/generative-ai/nova/
Apache MXNet
mxnet.apache.org
Target URL
https://mxnet.apache.org/
GluonNLP
github.com
Target URL
https://github.com/dmlc/gluon-nlp
Foundation Models for AWS AI Services
aws.amazon.com
Target URL
https://aws.amazon.com/bedrock/
Distributed Training Infrastructure
aws.amazon.com
Target URL
https://aws.amazon.com/sagemaker/hyperpod/
See all projects on GitHub →
github.com
Target URL
https://github.com/szha
www.linkedin.com
Target URL
https://www.linkedin.com/in/shengzha/
X / Twitter
twitter.com
Target URL
https://twitter.com/szha_
View all publications on Google Scholar →
scholar.google.com
Target URL
https://scholar.google.com/citations?user=WQ-LmFwAAAAJ
ONNX
onnx.ai
Target URL
https://onnx.ai/
Python Data API Standards
github.com
Target URL
https://github.com/data-apis/array-api
DEM: Distribution Edited Model for Training with Mixed Data Distributions
arxiv.org
Target URL
https://arxiv.org/abs/2406.15570
Differentially Private Bias-term Fine-tuning of Foundation Models
arxiv.org
Target URL
https://arxiv.org/abs/2210.00036
HyTrel: Hypergraph-enhanced Tabular Data Representation Learning
arxiv.org
Target URL
https://arxiv.org/abs/2307.08623
Meta-learning via Language Model In-context Tuning
arxiv.org
Target URL
https://arxiv.org/abs/2110.07814
Automatic Clipping: Differentially Private Deep Learning Made Easier and Stronger
arxiv.org
Target URL
https://arxiv.org/abs/2206.07136
Differentially Private Optimization on Large Model at Small Cost
arxiv.org
Target URL
https://arxiv.org/abs/2210.00038
The Amazon Nova Family of Models: Technical Report and Model Card
arxiv.org
Target URL
https://arxiv.org/abs/2506.12103
Large Language Models of Code Fail at Completing Code with Potential Bugs
arxiv.org
Target URL
https://arxiv.org/abs/2306.03438
Sequence-level Large Language Model Training with Contrastive Preference Optimization
arxiv.org
Target URL
https://arxiv.org/abs/2502.16433
GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing
arxiv.org
Target URL
https://arxiv.org/abs/1907.04433
大模型训练的一线实践 (Frontline Practices in Large Model Training)
www.bilibili.com
Target URL
https://www.bilibili.com/video/BV1oXPiztEdo/
Accelerate the Bridging of ML and DL with NVIDIA-Accelerated Apache MXNet 2.0
mlconf.com
Target URL
https://mlconf.com/sessions/accelerate-the-bridging-of-ml-and-dl-with-nvidia-accelerated-apache-mxnet-2-0/
Apache MXNet 2.0: Synergistic ML and DL with Standardization and High Performance
www.nvidia.com
Target URL
https://www.nvidia.com/en-us/on-demand/session/gtcfall21-a31355/
Apache MXNet 2.0: Bridging the Gap between DL and ML
apachecon.com
Target URL
https://apachecon.com/acah2020/tracks/ml.html
Dive into Deep Learning for Natural Language Processing
aclanthology.org
Target URL
https://aclanthology.org/D19-2001/
From Shallow to Deep Language Representations: Pre-training, Fine-tuning, and Beyond
kdd19.mxnet.io
Target URL
https://kdd19.mxnet.io/
Deep Learning Lectures
www.clsp.jhu.edu
Target URL
https://www.clsp.jhu.edu/workshops/18-workshop/2018-jhu-summer-school-on-human-language-technology/
Amazon Science
www.amazon.science
Target URL
https://www.amazon.science/author/sheng-zha
Requested Domains 5
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szha.ai
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www.google-analytics.com
Unknown Type
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www.googletagmanager.com
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