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Event planning and general information template below - To be updated by Event/Meeting Lead

Table of Contents

Event/Meeting Details

LF AI & Data Participation Overview: 

LF AI & Data Foundation is pleased to welcome you at the LF AI & Data Day* – ONNX Community Virtual Meetup – March 2021. This event will be hosted online via Zoom video conferencing on Wednesday, March 24. The event will feature the LF AI & Data hosted Graduated Project, ONNX.

The event will cover ONNX Community updates, partner/end-user stories, and SIG/WG updates. Check back for a full agenda soon.

If you are using ONNX in your services and applications, building software or hardware that supports ONNX, or contributing to ONNX, you should attend! This is a great opportunity to meet with and hear from people working with ONNX across many companies.

Note: In order to ensure the safety of our event participants and staff due to the Novel Coronavirus situation (COVID-19) the ONNX Steering Committee decided to make this a virtual-only event via Zoom.

*LF AI & Data Day is a regional, one-day event hosted and organized by local members with support from LF AI & Data and its Projects. Learn more about the LF AI & Data Foundation here.

Event Location & Date(s): 

Zoom meeting on Wednesday, March 24, 2021

Event Time:

5:00 PM - 8:00 PM - PDT (Pacific Daylight Time)

Event Website: 

Event Registration:

Event Agenda/Schedule:

Please submit any questions about LF AI & Data participation at this event to:

Event Host Lead Name & Contact Details: Ti Zhou (Baidu) <>

Planning To-Do List

Tracking for to-do items, due dates, owners, and notes

To Do

Due Date




Post presentations and recordingsMarch 25
Event Lead
Communicate availability of the event's recordings and presentationsMarch 31
LF AI & Data-LF AI social scheduled for TBD.

Schedule & Presentations



Topic / Speaker

Deck / Recording Links

Wed March 24
5pm PT USA

Thur March 25
8am China

25mEvent Kickoff

Q&A - #onnx-general slack channel

For those speakers who would like to - they are invited to make both English (required) and Chinese (optional) versions of their deck and pre-recording

post-event everyone pointed to this wiki page for full recording

5Welcome and opening
Speaker: Ti Zhou (Baidu)

deck / recording


ONNX Progress Update
Speaker: Sheng Zha, Joohoon Lee
Contacts: ONNX SC (Prasanth, Harry, Jim, Joohoon, Sheng)

deck / recording (Sheng) / recording (Joohoon)

5:25pm PT USA

8:25am China

100mCommunity Presentations

deck / prerecording (English)

optional: deck/record(Chinese)


popART: Support ONNX on IPU
Speaker: Han Zhao (GraphCore-China)


Spring Project:Multi Backend Neural Network Auto Quantization and Deployment over ONNX
Speaker: Fengwei Yu (SenseTime-China)

deck / recording (Mar 22)


ONNX Runtime for Mobile Scenarios: From model to on-device inferencing
Speaker: Tom Wildenhain (Microsoft-USA)


ONNX on PaddlePaddle 2.0: Broader Deployment and Richer Ecosystem
Speaker: Wranky Wang (Baidu-China)


ONNX on microcontrollers
Speaker: Rohit Sharma (AITechSystems-USA_CA)


Monitoring and Explaining ONNX Models in Production
Speaker: Krishna Gade (FiddlerAI-USA_CA)


10mONNX client for Acumos
Speaker: Philippe Dooze (Orange-France) (picture)


Deploy ONNX model seamlessly across the cloud, edge, and mobile devices using MindSpore
Speaker: Leon Wang (Huawei-China)


ONNX Runtime Training
Speaker: Peng Wang (Microsoft China)


Quantization support for ONNX using LPOT (Low precision optimization tool)

Speakers: Haihao Shen (Intel - China) and Saurabh Tangri (Intel)
Contact: Rajeev Nalawadi (Intel-China)

deck / recording

7:05pm PT USA

10:05am China

10mBreakQ&A - #onnx-general slack channel

7:15pm PT USA

10:15am China

45mSIG's and WG's Updates and Discussions

deck / prerecording (English)

optional:deck/record (Chinese)

10Architecture/Infrastructure SIG Update
Chair: Ashwini Khade (Microsoft) and Jacky Chen (Microsoft)

deck / recording1  recording 2

10Operators SIG Update
Co-Chairs: Michał Karzyński (Intel) and G. Ramalingam (Microsoft)


Converters SIG Update
Co-Chairs: Guenther Schmuelling (Microsoft), Kevin Chen (Nvidia), Chin Huang (IBM)

deck / recording


Model Zoo/Tutorials SIG Update
Co-Chair: Wenbing Li (Microsoft)(picture)

5Q&A / Open DiscussionsQ&A - #onnx-general slack channel

8:00pm PT USA

11:00am China

Total 180


EndFinal Recording Full Event (Posted after online event)



Ti Zhou

Sheng Zha

Joohoon Lee

Community Talks

Rohit SharmaHow many of the models in ONNX model zoo have you compiled onto tinyml devices using DeepC?  of the 36, have 2-3 been compiled? on what device?

Over 50 ONNX models have been compiled. We do not keep the record of the source of those ONNX models, so we can't comment on how many of them come from ONNX model zoo. Some of them are available in cAInvas gallery

deepSea supports most RISC and CISC devices. Cortex M4 based boards like Arduino Nano is one of the popular ones in the gallery

SIG Talks

Additional Community Submissions not in main program  - not covered online, but thank-you to submitters who can upload deck and prerecording for community to review at their leisure


Deck / Prerecording (Links)

My experience implementing ONNX import for GAP processors
Contact: Martin Croome (Greenwaves Tech)

How we are making it insanely easy to deploy ml/ai models from jetson nano to Azure with ONNX
Contact: Mahesh Yadav (Microsoft)
deck / prerecording
Visualizing ONNX models’ internal data: Key things to look for?
Contact: Mina Amiri (Zetane)

Deploying 3rd Party Models in PaddlePaddle via X2Paddle Converter
Contact: JiaJun Jiang (Baidu)

deck / prerecording


Contact: Emad Barsoum (Cerebras) 

deck / prerecording