Activities

Sharc + Synergy Lab Reading Group Schedule 2022

• Time:  Friday 11:30 am – 1:00 pm
• Location: Bluejeans: https://bluejeans.com/1857234523/
• To schedule a presentation: Please fill in the schedule here
  • There is no need to specify a paper title yet — you can just reserve a slot and fill in the details later.
• Some rules:
  • Feel free to invite your friends!
  • Please make sure your presentation is within 25 minutes (if no interruption); the overall presentation will be at most 40 minutes with Q&A.
  • Please be well prepared and make sure your chosen paper is excellent and worth reading.
  • Presenting your own paper is also more than welcome!
  • If you don’t know what to present, please choose some latest publications from these conferences (in Related Conferences/Journals).
• Subscription: If you want to subscribe for our mailing list to get notifications regarding schedule changes or unsubscribe, please send an email to callie.hao AT ece.gatehc.edu.

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Sharc Lab Reading Group Schedule 2021

• Time:  Friday 3:00 – 4:30 pm
• Location: Bluejeans: https://bluejeans.com/1857234523/
• Please fill in the schedule here
  • There is no need to specify a paper title yet — you can just reserve a slot and fill in the details later.
• Feel free to invite your friends!
• If you want to get notifications regarding schedule change, please send an email to callie.hao AT ece.gatehc.edu, and I’ll add you to our mailing list. 🙂

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Talks at and from Sharc

• [11.12.2021] “An Overview of Machine Learning Models in Autonomous Driving”, by Dr. Kanishka Tyagi from Aptiv Advanced Research Centre, Agoura Hills, California. [YouTube]
• [10.13.2021] “How Powerful are Graph Neural Networks and Reinforcement Learning in EDA: a Case Study in High-Level Synthesis”, by Callie Hao at Stevens Institute of Technology ECE Seminar. [slides]
• [09.24.2021] “Invited Talk: HLS-based Graph Processing on FPGA”, by Xinyu chen at Sharc Seminar. [YouTube]
• [09.23.2021] “How Powerful are Graph Neural Networks and Reinforcement Learning in EDA: a Case Study in High-Level Synthesis”, by Callie Hao at Rutgers EFficient AI (REFAI) Seminar. [YouTube] [slides]

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Sharc Lab Get-together!